[
    {
        "id": "eickmeyer-2027-tcd",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tile Coding for Directional Path Guiding",
        "date": "2027-01",
        "abstract": "Path guiding is a promising Monte Carlo ray tracing technique in physically based rendering (PBR) that leverages information about the scene to improve convergence and reduce image noise. By employing data structures that approximate the incident radiance, such algorithms are capable of making informed decisions about where to send future rays. However, even though minimizing noise is a major goal in path guiding, current state-of-the-art techniques barely take the underlying sample noise into account when building guiding distributions, solely relying on the illumination itself. To address this issue, this thesis proposes two novel data structures based on tile coding, a discrete data structure that has seen success in reinforcement learning due to its high degree of generalization. By making use of its advantages in combination with a data-driven approach to quantify sample noise, the data structures approximate the incident radiance with a higher level of detail, while minimizing typical issues other discrete data structures exhibit. To prove their effectiveness, the data structures are compared on a dataset of 446 environment maps against discrete and continuous state-of-the-art approaches, outperforming them in their ability to represent the incident radiance field in the majority of equal-sample comparisons. As part of a larger project, this work provides the directional data structure as the foundation for an upcoming complete path guiding algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5504
        ],
        "date_end": "2025-11-11",
        "date_start": "2024-07-10",
        "matrikelnr": "11905167",
        "supervisor": [
            193,
            1129
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "physically based rendering, Monte Carlo rendering, path tracing, importance sampling, path guiding, data structures"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d9259"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2027/eickmeyer-2027-tcd/",
        "__class": "Publication"
    },
    {
        "id": "muth-2026-clouds",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Volumetric Rendering of Meteorological Cloud Data",
        "date": "2026-03-25",
        "abstract": "Traditional meteorological visualizations collapse the vertical structure of the atmosphere\ninto two-dimensional map overlays, losing precisely the information most relevant in\ncomplex terrain. Expert tools for three-dimensional atmospheric exploration exist, but\ntarget domain scientists on dedicated workstation infrastructure. This thesis presents a\npipeline for the real-time volumetric rendering of meteorological cloud data within the\nweBIGeo web-based geographic visualization platform, with the goal of making cloud\nstructure intuitively readable to general users in a standard web browser.\nThe pipeline transforms hourly ICON-D2 forecast output into a compressed, streamable\ntile hierarchy that a WebGPU ray-marcher samples at interactive frame rates. Preprocessing\na single forecast timestamp completes in approximately 33 s of compute time,\nproducing a tile hierarchy of roughly 86MiB on average. Rendering cost is well within\ninteractive bounds: even under high cloud coverage, the cloud pass consumes around\n2.25ms of GPU time, a small fraction of the 33ms budget for 30 fps. Qualitative evaluation\nagainst EUMETSAT satellite imagery shows that large-scale cloud patterns are\nreproduced with reasonable fidelity. Comparison against webcam imagery reveals three\nconcrete limitations: the coarse and non-uniform vertical resolution of the source data\nis insufficient to resolve sharp fog layer boundaries, the sub-grid density distribution\ndoes not preserve the character of small cloud elements such as wispy puffs, and the tile\nresolution is too coarse to encode the surface texture of individual cumulus cells. The\nsystem is best understood as a large-scale atmospheric context layer rather than a precise\nlocal forecast tool.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "clouds in weBIGeo",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1958,
            "image_height": 1159,
            "name": "muth-2026-clouds-teaser.png",
            "type": "image/png",
            "size": 4142519,
            "path": "Publication:muth-2026-clouds",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5585
        ],
        "date_end": "2026-03",
        "date_start": "2025-10",
        "matrikelnr": "12226614",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/Qendolin/webigeo-clouds",
                "caption": "GitHub Cloud Renderer",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://github.com/Qendolin/webigeo-clouds-server",
                "caption": "GitHub Cloud Preprocessing Server",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "clouds in weBIGeo",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1958,
                "image_height": 1159,
                "name": "muth-2026-clouds-teaser.png",
                "type": "image/png",
                "size": 4142519,
                "path": "Publication:muth-2026-clouds",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "muth-2026-clouds-thesis.pdf",
                "type": "application/pdf",
                "size": 20583815,
                "path": "Publication:muth-2026-clouds",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-thesis:thumb{{size}}.png"
            },
            {
                "description": "Short video sequence zooming into a cloudy scene",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "muth-2026-clouds-video.mp4",
                "type": "video/mp4",
                "size": 8692035,
                "path": "Publication:muth-2026-clouds",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/muth-2026-clouds-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "d9555"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/muth-2026-clouds/",
        "__class": "Publication"
    },
    {
        "id": "Pel-2026",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CurveQuest: Development and Evaluation of a Serious Game for Teaching Bézier Curves and Spline Representations",
        "date": "2026-03-01",
        "abstract": "Curves and Splines are fundamental concepts in computer graphics, especially in modeling, animation, and geometric design. However, students often struggle to develop an intuitive understanding of how control points influence the resulting curve for different curve type when learning from static lecture material alone. While mathematical formulations provide precise definitions, they rarely convey the dynamic behavior of curves in an intuitive way. Interactive visualization and experimentation are known to support deeper conceptual understanding compared to passive learning methods. Therefore, this project aims to design a serious game that allows students to explore curve behavior through direct interaction. By manipulating control points and observing immediate visual feedback, players can develop an intuitive understanding of curve properties and differences between curve types. The effectiveness of the game-based learning approach will later be evaluated by comparing learning outcomes against traditional lecture-based learning methods used in computer graphics courses.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5577
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-08-30",
        "date_start": "2026-03-01",
        "matrikelnr": "12122553",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Pel-2026/",
        "__class": "Publication"
    },
    {
        "id": "schneider-sturm-2026-mia",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mesh Inspector: A Learning Game on Detecting and Repairing Common 3D Mesh Errors",
        "date": "2026-03-01",
        "abstract": "Mesh Inspector is a Unity WebGL serious game for IT students and other beginners interested in 3D modeling, that teaches core mesh best practices through interactive detection and simple repair of common mesh errors (e.g., excessive poly-count, non-manifold geometry, flipped normals, and invalid topology such as n-gons). The game provides visualization aids and immediate explanatory feedback to link visible artifacts to underlying topology principles. We will evaluate the game online using a pre/post design plus a participant background survey to assess what new information participants gained and whether their ability to identify and correct mesh issues improves after gameplay.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5578
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-08-30",
        "date_start": "2026-03-01",
        "matrikelnr": "12231214",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/schneider-sturm-2026-mia/",
        "__class": "Publication"
    },
    {
        "id": "Musleh_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/224040",
        "title": "Guided Visual Analytics for Decision Making under Uncertainty",
        "date": "2026-03",
        "abstract": "Visual Analytics (VA) has emerged from the need to optimize decision making by involving human reasoning in sense making. The development of VA has been facilitated by significant technological advances in modern computer graphics and data processing capabilities. Involving humans in the loop aims to address high-risk scenarios where artificial intelligence (AI) automated approaches are insufficient. One active area of research with VA is the development of methods that enable the user to make efficient and effective decisions under high uncertainty. Yet, the field of VA research has not fully understood how user attitude, namely trust and confidence, interplay in VA decision making under uncertainty. Properties of the user attitude play a crucial role in optimizing VA decision making, but they are challenging to externalize and evaluate. For instance, user confidence in their decision emerges as an important indicator of effectiveness when the correctness of the decision cannot be measured. In this dissertation, we explore the use of guidance techniques to address uncertainties in VA decision making, focusing on scenarios where the correctness of decisions cannot be definitively established. Throughout this work, we learned that a multidimensional guidance mechanism can address uncertainties more effectively when uncertainties are challenging to quantify and visualize, especially in the case of subjective uncertainty. However, evaluating the effectiveness of guidance approaches requires a more comprehensive analysis of the interplay between trust and confidence within the sense-making process. Using provenance networks and SNA metrics can provide a more reliable and comprehensive assessment of user confidence, indicating that such approaches can be employed to support co-adaptive guidance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords",
        "repositum_presentation_id": null,
        "authors": [
            1867
        ],
        "ac_number": "AC17745765",
        "date_end": "2025",
        "date_start": "2021",
        "doi": "10.34726/hss.2026.137814",
        "open_access": "yes",
        "pages": "185",
        "reviewer_1": [
            5252
        ],
        "reviewer_2": [
            5243
        ],
        "rigorosum": "2025-11",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "Visualization",
            "Visual Analytics",
            "Guidance",
            "Trust",
            "Confidence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Musleh_PhD-thesis.pdf",
                "type": "application/pdf",
                "size": 6169556,
                "path": "Publication:Musleh_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/Musleh_PhD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/Musleh_PhD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Musleh_PhD/",
        "__class": "Publication"
    },
    {
        "id": "kovacs-2026-sbg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/226679",
        "title": "Style Brush: Guided Style Transfer for 3D Objects",
        "date": "2026-02-16",
        "abstract": "We introduce Style Brush, a novel style transfer method for textured meshes designed to empower artists with fine-grained control over the stylization process. Our approach extends traditional 3D style transfer methods by introducing a novel loss function that captures style directionality, supports multiple style images or portions thereof and enables smooth transitions between styles in the synthesized texture. The use of easily generated guiding textures streamlines user interaction, making our approach accessible to a broad audience. Extensive evaluations with various meshes, style images and contour shapes demonstrate the flexibility of our method and showcase the visual appeal of the generated textures. Finally, the results of a user study indicate that our approach generates visually appealing mesh textures that adhere to user-defined guidance and enable users to retain creative control during stylization. Our implementation is available on: https://github.com/AronKovacs/style-brush.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1950,
            5415,
            1410
        ],
        "articleno": "e70308",
        "doi": "10.1111/cgf.70308",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "pages": "18",
        "publisher": "WILEY",
        "research_areas": [],
        "keywords": [
            "3D style transfer",
            "directional guidance",
            "mesh texture synthesis",
            "user guidance"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kovacs-2026-sbg/",
        "__class": "Publication"
    },
    {
        "id": "chaves-de-plaza-2026-logcc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/226667",
        "title": "LoGCC: Local-to-Global Correlation Clustering for Scalar Field Ensembles",
        "date": "2026-02",
        "abstract": "Correlation clustering (CC) offers an effective approach to analyze scalar field ensembles by detecting correlated regions and consistent structures, enabling the extraction of meaningful patterns. However, existing CC methods are computationally expensive, making them impractical for both interactive analysis and large-scale scalar fields. We introduce the Local-to-Global Correlation Clustering (LoGCC) framework, which accelerates pivot-based CC by leveraging the spatial structure of scalar fields and the weak transitivity of correlation. LoGCC operates in two stages: a local step that uses the neighborhood graph of the scalar field's spatial domain to build highly correlated local clusters, and a global step that merges them into global clusters. We implement the LoGCC framework for two well-known pivot-based CC methods, Pivot and CN-Pivot, demonstrating its generality. Our evaluation using synthetic and real-world meteorological and medical image segmentation datasets shows that LoGCC achieves speedups—up to 15 × for Pivot and 200 × for CN-Pivot—and improved scalability to larger scalar fields, while maintaining cluster quality. These contributions broaden the applicability of correlation clustering in large-scale and interactive analysis settings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5565,
            1410,
            5566,
            5567,
            5568,
            5569,
            5570
        ],
        "doi": "10.1109/TVCG.2025.3630550",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "2",
        "pages": "12",
        "pages_from": "2260",
        "pages_to": "2271",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "32",
        "research_areas": [],
        "keywords": [
            "Correlation Clustering",
            "Clustering Algorithms",
            "Uncertainty Visualization",
            "Ensemble Visualization",
            "Scalar Field Ensemble Analysis"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/chaves-de-plaza-2026-logcc/",
        "__class": "Publication"
    },
    {
        "id": "kaipel_nikolas-2025-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Noisy Change Detection",
        "date": "2026-01-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 312,
            "image_height": 241,
            "name": "kaipel_nikolas-2025-baa-image2.png",
            "type": "image/png",
            "size": 24842,
            "path": "Publication:kaipel_nikolas-2025-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5444
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2026-01-30",
        "date_start": "2025-02-13",
        "matrikelnr": "12140073",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 312,
                "image_height": 241,
                "name": "kaipel_nikolas-2025-baa-image2.png",
                "type": "image/png",
                "size": 24842,
                "path": "Publication:kaipel_nikolas-2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kaipel_nikolas-2025-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 900294,
                "path": "Publication:kaipel_nikolas-2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/kaipel_nikolas-2025-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/kaipel_nikolas-2025-baa/",
        "__class": "Publication"
    },
    {
        "id": "Grisenti-2026-HSHPG",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Leveraging Hemispherical Harmonics to Improve Preview Fidelity in an Interactive Application",
        "date": "2026-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Code",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "account",
            "name": "Grisenti-2026-HSHPG-.zip",
            "type": "application/x-zip-compressed",
            "size": 4909581,
            "path": "Publication:Grisenti-2026-HSHPG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Grisenti-2026-HSHPG/Grisenti-2026-HSHPG-.zip",
            "thumb_image_sizes": []
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5547
        ],
        "date_end": "2026-01",
        "date_start": "2025-05",
        "matrikelnr": " e12434686",
        "supervisor": [
            1946,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Grisenti-2026-HSHPG/",
        "__class": "Publication"
    },
    {
        "id": "Fuericht-2026-FPD",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Polyhedral Dynamics",
        "date": "2026",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5445
        ],
        "date_end": "2026-02-28",
        "date_start": "2026-01",
        "matrikelnr": "52005515",
        "supervisor": [
            1946,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Fuericht-2026-FPD/",
        "__class": "Publication"
    },
    {
        "id": "Kovacs_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/224033",
        "title": "3D Style Transfer: Lifting 2D Methods to 3D and Enabling Interactive Guidance",
        "date": "2026",
        "abstract": "3D style transfer refers to altering the visual appearance of 3D objects and scenes to match a given (artistic) style, usually provided as an image. 3D style transfer presents significant potential in streamlining the creation of 3D assets such as game environment props, VFX elements, or largescale virtual scenes. However, it faces challenges such as ensuring multi-view consistency, respecting computational and memory constraints, and enabling artist control. In this dissertation, we propose three methods that aim at stylizing 3D assets while addressing these challenges. We focus on optimization-based methods due to the higher quality of results compared to single-pass methods. 0ur contributions advance the state-of-the-art by introducing: (i) novel surface-aware CNN operators for direct mesh texturing, (ii) the first Gaussian Splatting (GS) method capable of transferring both high-frequency details and large scale patterns, and (iii) an interactive method that allows directional and region-based control over the stylization process. Each of these methods outperforms existing baselines in visual fidelity and robustness. Across three complementary projects, we explore different facets of 3D style transfer. In the first project, we propose a method that creates textures directly on the surface of a mesh. By replacing the standard 2D convolution and pooling layers in a pre-trained 2D CNN with surface-based operations, we achieve seamless, multi-view-consistent texture synthesis without relying on proxy 2D images. In the second project, we transfer both high-frequency and large-scale patterns using GS, while addressing representation-specific artifacts such as oversized or elongated Gaussians. Furthermore, we design a style loss capable of transferring style patterns at multiple scales, resulting in visually appealing stylized scenes that preserve both intricate details and large-scale motifs. In the third project, we propose an interactive method that allows users to guide stylization by drawing lines to control pattern direction, and painting regions on both the 3D surface and style image to specify where and how specific style patterns should be applied. Through our extensive qualitative and quantitative evaluations, we show that our methods surpass state-of-the-art techniques. We also demonstrate their robustness across diverse 3D objects, scenes, and styles, highlighting the flexibility of the presented methods. Future work may explore extensions such as geometry modification for style-driven shape changes, more efficient !arge-scale pattern synthesis, temporal coherence in dynamic or video-based scenes, and refined interactive controls informed by direct artist feedback to better integrate creative intent into the stylization pipeline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords,type_id",
        "repositum_presentation_id": null,
        "authors": [
            1950
        ],
        "ac_number": "AC17745734",
        "co_supervisor": [
            5572
        ],
        "date_end": "2024",
        "date_start": "2021",
        "doi": "10.34726/hss.2026.137815",
        "open_access": "yes",
        "pages": "104",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Style transfer",
            "Texture synthesis",
            "Neural Networks",
            "Neural rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kovacs_PhD-thesis.pdf",
                "type": "application/pdf",
                "size": 4807053,
                "path": "Publication:Kovacs_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/Kovacs_PhD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/Kovacs_PhD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2026/Kovacs_PhD/",
        "__class": "Publication"
    },
    {
        "id": "komon-2025-dco",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/224640",
        "title": "Data-Driven Compute Overlays for Interactive Geographic Simulation and Visualization",
        "date": "2025-12-30",
        "abstract": "We present interactive data-driven compute overlays for native and web-based 3D geographic map applications based on WebGPU. Our data-driven overlays are generated in a multi-step compute workflow from multiple data sources on the GPU. We demonstrate their potential by showing results from snow cover and avalanche simulations, where simulation parameters can be adjusted interactively and results are visualized instantly. Benchmarks show that our approach can compute large-scale avalanche simulations in milliseconds to seconds, depending on the size of the terrain and the simulation parameters, which is multiple orders of magnitude faster than a state-of-the-art Python implementation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Rendered 2.5D terrain with avalanche simulation output as overlay, color encodes velocity.",
            "filetitle": "Teaser image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2527,
            "image_height": 1270,
            "name": "komon-2025-dco-Teaser image.png",
            "type": "image/png",
            "size": 3968804,
            "path": "Publication:komon-2025-dco",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1859,
            1869,
            1013,
            1110
        ],
        "booktitle": "2025 IEEE Visualization and Visual Analytics (VIS)",
        "date_from": "2025-11-01",
        "date_to": "2025-11-07",
        "doi": "10.1109/VIS60296.2025.00043",
        "event": "IEEE VIS 2025",
        "isbn": "979-8-3315-6613-5",
        "lecturer": [
            1869
        ],
        "location": "Vienna",
        "pages": "5",
        "pages_from": "186",
        "pages_to": "190",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "3D geographic visualization",
            "geographic simulation",
            "WebGPU"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/2506.23364",
                "caption": "Paper preprint",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://webigeo.alpinemaps.org/",
                "caption": "Online demo",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://youtu.be/pZq0H_l-8Bs?t=1580",
                "caption": "Talk recording",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://github.com/weBIGeo/webigeo",
                "caption": "GitHub repository",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Rendered 2.5D terrain with avalanche simulation output as overlay, color encodes velocity.",
                "filetitle": "Teaser image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2527,
                "image_height": 1270,
                "name": "komon-2025-dco-Teaser image.png",
                "type": "image/png",
                "size": 3968804,
                "path": "Publication:komon-2025-dco",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/komon-2025-dco-Teaser image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9555"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-dco/",
        "__class": "Publication"
    },
    {
        "id": "miklautsch_florian-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "First-time Localization of Scans",
        "date": "2025-12-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 414,
            "image_height": 616,
            "name": "miklautsch_florian-baa-image.png",
            "type": "image/png",
            "size": 406923,
            "path": "Publication:miklautsch_florian-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5466
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-12-30",
        "date_start": "2025-04-07",
        "matrikelnr": "12023974",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "slam",
            "registration",
            "mobile"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 414,
                "image_height": 616,
                "name": "miklautsch_florian-baa-image.png",
                "type": "image/png",
                "size": 406923,
                "path": "Publication:miklautsch_florian-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "miklautsch_florian-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 862347,
                "path": "Publication:miklautsch_florian-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/miklautsch_florian-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/miklautsch_florian-baa/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2025",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": " X-Mas Card 2025",
        "date": "2025-12-24",
        "abstract": "The Research Unit of Computer Graphics wishes you a Merry Christmas with this brilliantly illuminated Christmas tree.\nIts temperature field is simulated using GPU-accelerated photon tracing: millions of perfectly traced rays\ncontributing to a radiative transport operator driving a non-linear Newton-Raphson solver. In this season of light, let us\ncelebrate the beauty that emerges when physics meets festive geometry, Monte Carlo convergence brings tidings of joy,\nand your RTX card finally earns its keep doing something other than training yet another diffusion model. Wishing you\nlow RMSE in your experiments, convergence in your solvers, and just enough noise to make the magic feel real.\nMerry Christmas and a radiantly rendered New Year!",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "xmas-2025-image.jpg",
            "type": "image/jpeg",
            "size": 669944,
            "path": "Publication:xmas-2025",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5496,
            1128,
            1946
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2025-card.pdf",
                "type": "application/pdf",
                "size": 2292169,
                "path": "Publication:xmas-2025",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "xmas-2025-image.jpg",
                "type": "image/jpeg",
                "size": 669944,
                "path": "Publication:xmas-2025",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/xmas-2025-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/xmas-2025/",
        "__class": "Publication"
    },
    {
        "id": "lanzarotti-2025-viseps",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/225225",
        "title": "VisEPS: a visual explorer of parameter spaces for networked models",
        "date": "2025-12-23",
        "abstract": "Simulations of complex social systems, such as those represented by epidemiological models, have been very useful in supporting decision makers during the last pandemic. These models generally comprise a high number of parameters, which makes it hard to identify the values that best reproduce the empirical data. Furthermore, different combinations of parameters may achieve a good fit, which renders an automatic solution ill-suited to the task. A human expert is required to make the final decisions about the optimal parameter values. We present VisEPS (Visual Explorer of Parameter Spaces), a framework for visually analyzing the effects of a very large set of parameters, with the aim of fitting a geographically explicit networked model to data obtained during the COVID-19 pandemic. We use a networked extension of a susceptible-infected-recovered (SIR) model to reproduce the epidemic dynamics in the city of Buenos Aires and its neighboring interconnected districts. We overlay binned scatterplots on a map, which facilitates the visual identification of each district and its connections. To further explore the model’s performance against data, additional views, such as parallel coordinates and histograms, along with drill-down mechanisms, have been incorporated. Finally, a use case is described in which the level of connectivity between districts is included in the analysis. The identification of suitable parameter ranges is facilitated by an iterative and incremental process, whereby new sets of simulations are incrementally requested, guided by interactive visual inspections. This permits the exploration of a parameter space that would otherwise be impossible to fully explore.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": "20.500.12708/225781",
        "authors": [
            5537,
            235,
            5538,
            166,
            5539
        ],
        "date_from": "2025-07-03",
        "date_to": "2025-07-04",
        "doi": "10.1007/s12650-025-01093-2",
        "event": "The 2nd Japan Visualization Symposium (JapanVis 2025)",
        "issn": "1875-8975",
        "journal": "Journal of Visualization",
        "lecturer": [
            235
        ],
        "location": "Tokyo",
        "pages": "15",
        "publisher": "SPRINGER",
        "research_areas": [],
        "keywords": [
            "Interactive visual exploration",
            "Networked simulation models",
            "Scalable visual parameter tuning",
            "Visual model parameter fitting"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/lanzarotti-2025-viseps/",
        "__class": "Publication"
    },
    {
        "id": "sakai-2025-stater",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/222799",
        "title": "Statistical Error Reduction for Monte Carlo Rendering",
        "date": "2025-12-14",
        "abstract": "Denoising is an important post-processing step in physically based Monte Carlo (MC) rendering. While neural networks are widely used in practice, statistical analysis has recently become a viable alternative for denoising. In this paper, we present a general framework for statistics-based error reduction of both estimated radiance and variance. Specifically, we introduce a novel denoising approach for variance estimates, which can either improve variance-aware adaptive sampling or provide additional input for image denoising in a cascaded manner. Furthermore, we present multi-transform denoising: a general and efficient correction scheme for non-normal distributions, which typically occur in MC rendering. All these contributions combine to a robust denoising pipeline that does not require any pretraining and can run efficiently on current GPU hardware. Our results show distinct advantages over previous denoising methods, especially in the range of a few hundred samples per pixel, which is of high practical relevance. Finally, we demonstrate good convergence behavior as the number of samples increases, providing predictable results with low bias that are free of hallucinated neural artifacts. In summary, our statistics-based algorithms for adaptive sampling and denoising deliver fast, consistent, low-bias variance and radiance estimates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).",
            "filetitle": "Representative Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1500,
            "image_height": 1000,
            "name": "sakai-2025-stater-Representative Image.png",
            "type": "image/png",
            "size": 711915,
            "path": "Publication:sakai-2025-stater",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1129,
            1128,
            193,
            1946
        ],
        "booktitle": "Proceedings of the SIGGRAPH Asia 2025 Conference Papers",
        "date_from": "2025-12-15",
        "date_to": "2025-12-18",
        "doi": "10.1145/3757377.3763995",
        "event": "SIGGRAPH Asia 2025 Conference",
        "isbn": "979-8-4007-2137-3",
        "lecturer": [
            1129
        ],
        "location": "Hong Kong",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "1",
        "pages_to": "12",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Monte Carlo rendering",
            "path tracing",
            "denoising",
            "image filtering",
            "statistics"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/StatER",
                "caption": "Project Page",
                "description": null,
                "main_file": 1
            }
        ],
        "files": {
            "0": {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "sakai-2025-stater-paper.pdf",
                "type": "application/pdf",
                "size": 10120331,
                "path": "Publication:sakai-2025-stater",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-paper:thumb{{size}}.png"
            },
            "1": {
                "description": "“Veach, Bidir Room” scene by Benedikt Bitterli, dedicated to the public domain under CC0 1.0 Universal (https://benedikt-bitterli.me/resources/).",
                "filetitle": "Representative Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1500,
                "image_height": 1000,
                "name": "sakai-2025-stater-Representative Image.png",
                "type": "image/png",
                "size": 711915,
                "path": "Publication:sakai-2025-stater",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Representative Image:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "Supplementary Document",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sakai-2025-stater-Supplementary Document.pdf",
                "type": "application/pdf",
                "size": 29341520,
                "path": "Publication:sakai-2025-stater",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/sakai-2025-stater-Supplementary Document:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d9259"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/sakai-2025-stater/",
        "__class": "Publication"
    },
    {
        "id": "kovacs-2025-pf",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "PTVC Framework",
        "date": "2025-12-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5579
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-12-12",
        "matrikelnr": "12402136",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kovacs-2025-pf/",
        "__class": "Publication"
    },
    {
        "id": "stauss-2025-gfd",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/225556",
        "title": "Green Facade Digital Twin : GreenFDT",
        "date": "2025-11-28",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5429,
            5548,
            1303,
            5549,
            5550,
            5551,
            1799
        ],
        "date_from": "2025-11-28",
        "date_to": "2025-11-28",
        "event": "GCD Symposium on Geometry and Computational Design 2025 (GCD_25)",
        "lecturer": [
            5429,
            1799
        ],
        "location": "Wien",
        "research_areas": [],
        "keywords": [
            "Green Facades",
            "Digital Twin"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d10070"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stauss-2025-gfd/",
        "__class": "Publication"
    },
    {
        "id": "Che-2025",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "SmartShot: A Serious Learning Game on Computer Graphics",
        "date": "2025-11-14",
        "abstract": "This Bachelor's thesis focuses on developing SmartShot, a small quiz-based learning game for computer graphics. The idea behind the project is to create a more engaging way for students to test their knowledge by answering questions in a shooting-range style environment. In each round, the player sees a question and must shoot the target that represents the correct answer. The aim is to explore whether an interactive and game-like format can make learning computer graphics more engaging and help students stay motivated. The thesis looks at how the game is designed, how the quiz system is built, and the potential benefits of using playful elements to reinforce understanding in an academic context.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5515
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-11-14",
        "matrikelnr": "12119880",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Che-2025/",
        "__class": "Publication"
    },
    {
        "id": "gruber-2025-vps",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualising the Permutation Space",
        "date": "2025-11-11",
        "abstract": "Seriations, i.e. arranging multidimensional data in a list that follows a logical sequence, are part of a technique called Exploratory Data Analysis. They reduce dimensions\nand give experts a way to assess images and other complex data, enabling them to compare their content and find similarities and differences. But only a few are used at a\nregular basis, e.g. the historgram seriation. The tool described here tries to add a more wholesome approach by showing all possible seriations in the permutation space. The\nspace grows factorially with the input size, i.e. the number of pixels, and by far not all are meaningful. The goal is to look for patterns in the space, as patterns may indicate\nfurther interesting seriations beside the historgram ones. The question is whether one is able to see such patterns when ordering the permutations and/or comparing two ordered\nspaces. Based on mathematical findings and algorithmic constraints, it will be shown that some patterns can be found even in a simplified setting using images with a size of\n3-by-2.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5517
        ],
        "date_end": "2025-11-11",
        "date_start": "2025-04-19",
        "matrikelnr": "00121092",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gruber-2025-vps-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 1805314,
                "path": "Publication:gruber-2025-vps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 312,
                "image_height": 356,
                "name": "gruber-2025-vps-image.png",
                "type": "image/png",
                "size": 29267,
                "path": "Publication:gruber-2025-vps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/gruber-2025-vps-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gruber-2025-vps/",
        "__class": "Publication"
    },
    {
        "id": "wolter-2025-mdv",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/225940",
        "title": "Multi-Agent Data Visualization and Narrative Generation",
        "date": "2025-11-03",
        "abstract": "Recent advancements in the field of AI agents have impacted the way we work, enabling greater automation and collaboration between humans and agents. In the data visualization field, multiagent systems can be useful for employing agents throughout the entire data-to-communication pipeline. We present a lightweight multi-agent system that automates the data analysis workflow, from data exploration to generating coherent visual narratives for insight communication. Our approach combines a hybrid multi-agent architecture with deterministic components, strategically externalizing critical logic from LLMs to improve transparency and reliability. The system delivers granular, modular outputs that enable surgical modifications without full regeneration, supporting sustainable human-AI collaboration. We evaluated our system across 4 diverse datasets, demonstrating strong generalizability, narrative quality, and computational efficiency with minimal dependencies.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5534,
            5552,
            5553,
            5554,
            1892
        ],
        "date_from": "2025-11-03",
        "date_to": "2025-11-03",
        "event": "1st Workshop on  Logo GenAI, Agents, and the Future of VIS (IEEE VIS 2025)",
        "lecturer": [
            5534
        ],
        "location": "Vienna",
        "research_areas": [],
        "keywords": [
            "Multiagentensystem"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wolter-2025-mdv/",
        "__class": "Publication"
    },
    {
        "id": "Win25",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluating Student Motivation in a Learning Game on Illumination Concepts for Computer Graphics Courses",
        "date": "2025-11-01",
        "abstract": "This thesis aims to evaluate whether students experience higher motivation by learning through lectures or learning games. Game-based learning can increase motivation for several reasons, such as providing a more immersive learning experience and offering immediate feedback on whether the subject has been understood. For this purpose, we developed a learning game titled “Light of Day” about the topic “illumination” in computer graphics. A quantitative study approach was used in which students who watched the lecture and those who played the game completed a questionnaire about their experience. The results display which method the participants prefer and whether game-based learning has the ability to increase motivation. The resulting metrics also give an indication if the effort required to develop such a game is justified.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5556
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-06-30",
        "date_start": "2025-11-01",
        "matrikelnr": "12217677",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Win25/",
        "__class": "Publication"
    },
    {
        "id": "Lan25",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Learning by Playing or Listening? A Comparative Study between Game-based and Lecture-based Learning of Illumination Concepts in Computer Graphics Courses",
        "date": "2025-11-01",
        "abstract": "There are various ways to learn new content. However, some might be more effective than others. This thesis focuses on lecture-based and game-based learning and which of the two is better for learning new content. For this purpose we developed the game “Light Of Day”. The covered content includes different lighting types, such as ambient and point lights, as well as shading models including Phong and Blinn-Phong shading. The game integrates these concepts into its gameplay mechanics, allowing learners to actively engage with the material rather than passively consuming information. To evaluate the learning process, a user study was conducted using a pre-test and post-test design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5555
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-06-30",
        "date_start": "2025-11-01",
        "matrikelnr": "12225097",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Lan25/",
        "__class": "Publication"
    },
    {
        "id": "Ams25",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shader Village: A serious game on learning shader programming via Scratch",
        "date": "2025-11-01",
        "abstract": "The goal of this project is to develop a game that teaches the fundamentals of shader programming in an interactive and engaging way.\nPlayers build and customize a village populated with houses, NPCs, environmental elements, and decorative objects. Buildings can be freely placed, and specific predefined parts of them can be visually modified. Customization is achieved through a Scratch-inspired visual scripting system, where nodes represent functions and variables. By connecting these nodes, players create shader logic without writing code directly.\nNPCs guide players through a series of progressively more challenging quests and tutorials. These introduce both the practical use of individual functions and the underlying logic of shader programming. The primary focus is on fragment shader programming, particularly procedural materials and lighting models, as well as compute shader programming for particle systems.\nBecause Unity does not allow shaders to be compiled at runtime, the project implements a lightweight virtual machine written in compute shaders. This virtual machine interprets a user-generated node graph encoded as a texture, enabling real-time visual updates based on the player’s visual scripts.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5557
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-07-01",
        "date_start": "2025-11-01",
        "matrikelnr": "12023991",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ams25/",
        "__class": "Publication"
    },
    {
        "id": "dhanoa-2025-ave",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/225028",
        "title": "Agentic Visualization: Extracting Agent-Based Design Patterns From Visualization Systems",
        "date": "2025-11",
        "abstract": "Autonomous agents powered by large language models are transforming artificial intelligence (AI), creating an imperative for the visualization area. However, our field's focus on a human in the sensemaking loop raises critical questions about autonomy, delegation, and coordination for such agentic visualization that preserve human agency while amplifying analytical capabilities. This article addresses these questions by reinterpreting existing visualization systems with semiautomated or fully automatic AI components through an agentic lens. Based on this analysis, we extract a collection of design patterns for agentic visualization, including agentic roles, communication, and coordination. These patterns provide a foundation for future agentic visualization systems that effectively harness AI agents while maintaining human insight and control.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "abstract,projects",
        "repositum_presentation_id": null,
        "authors": [
            1892,
            5534,
            5535,
            5536,
            5434
        ],
        "doi": "10.1109/MCG.2025.3607741",
        "issn": "1558-1756",
        "journal": "IEEE Computer Graphics and Applications",
        "number": "6",
        "pages": "12",
        "pages_from": "89",
        "pages_to": "100",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "45",
        "research_areas": [],
        "keywords": [
            "agents",
            "visualization",
            "design patterns"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d10027"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-ave/",
        "__class": "Publication"
    },
    {
        "id": "weydemann-2025-noo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/221804",
        "title": "Non-uniform offsetting of surfaces",
        "date": "2025-11",
        "abstract": "Offset surfaces are fundamental in computer graphics applications, such as computer-aided design or tool-path generation. However, generating them while preserving geometric details and handling self-intersections remains challenging, particularly for surfaces with sharp features. This thesis presents a robust method for non-uniform offset surface generation, extending volumetric, feature-preserving uniform offset approaches to allow per-vertex control over offset distances. This enables greater flexibility in handling complex geometries and user-defined specifications.To achieve a smooth distribution of offsets across the input mesh, the method introduces a Radial Basis Function interpolation combined with Dijkstra-based distance propagation. The method supports the extraction of both inner and outer offset components through an octree data structure and a modified Dual Contouring algorithm adapted for non-uniform distances, ensuring accurate and manifold surface generation. This approach's adaptability and robustness are demonstrated across diverse input models with varying offset assignments. They showcase successful extraction of inner and outer components and the ability to capture localized asymmetries while preserving geometric integrity.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1211,
            "image_height": 494,
            "name": "weydemann-2025-noo-teaser.png",
            "type": "image/png",
            "size": 321957,
            "path": "Publication:weydemann-2025-noo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            5531
        ],
        "ac_number": "AC17720179",
        "date_end": "2025-11-24",
        "date_start": "2016-08-11",
        "diploma_examina": "2025-11-24",
        "doi": "10.34726/hss.2025.40588",
        "matrikelnr": "00925369",
        "open_access": "yes",
        "pages": "92",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Offset Surfaces",
            "Non-Uniform Offset",
            "Volumetric Method",
            "Octree",
            "Dual Contouring",
            "Radial Basis Function",
            "Per-Vertex Control",
            "k-d Tree",
            "Signed Distance Field",
            "Computer Graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1211,
                "image_height": 494,
                "name": "weydemann-2025-noo-teaser.png",
                "type": "image/png",
                "size": 321957,
                "path": "Publication:weydemann-2025-noo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weydemann-2025-noo-thesis.pdf",
                "type": "application/pdf",
                "size": 1778290,
                "path": "Publication:weydemann-2025-noo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/weydemann-2025-noo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/weydemann-2025-noo/",
        "__class": "Publication"
    },
    {
        "id": "north-2025-aog",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/221703",
        "title": "Analysis of the GPU Acceleration Potential of the FFT-Based Pressure Solver in the PALM-4U Model System",
        "date": "2025-11",
        "abstract": "Due to climate change, the frequency and severity of extreme weather events is increasing, which endangers human livelihoods and key infrastructures. Decision support tools can guide the development of climate-resilient cities by providing information on the potential effectiveness of specific measures during the planning process. In urban environments,decision support tools that incorporate accurate micro-climate models are particularly effective. PALM-4U, a state-of-the-art, scientifically validated microclimate model, could offer this functionality, however it remains largely inaccessible outside the scientific community as it is optimised to run on HPC clusters. However, with the rise of high-performance GPUs, a shift towards single workstations is possible.This study investigates the potential for performance increase of the PALM-4U’s pressuresolver, by utilising the GPU’s acceleration potential in combination with a change intarget architecture. Performance increase is measured using three parameters: speed up,validity (via NMSE, R, and FB), and memory efficiency. Also the effect on the runtime of the full simulation is measured and possible bottlenecks identified. Finally, the fullmodel is analysed to assess the overall feasibility of GPU optimisation, providing insights to guide future development.The pressure solver transforms the 3D Poisson equation using Fast Fourier Transform and solves the resulting 1D system via the Thomas algorithm. The code structure is optimised, CUDA-optimised kernels are implemented and the cuFFT library is integrated.In addition a mixed-precision approach is tested to evaluate its impact on performance and accuracy.The single core GPU implementation achieves a speed up of up to 65.5 times in single precision and up to 49.3 times for double precision for large domain sizes. The stability of the system remains unaffected by the mixed-precision approach, and no significant variation is observed between FP32 and FP64 runs. After 45 × 103 simulation steps, NMSE (0.02), FB (-0.017) and R (0.96), demonstrate a stable and accurate performance consistent across precisions. Additionally, the memory requirement is reduced up to 68% compared to the baseline CPU solver. The optimisations leads to a runtime reduction ofthe full model by 15%, demonstrating the potential for accessible, scientifically validated microclimate models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            5514
        ],
        "ac_number": "AC17718798",
        "date_end": "2025-11",
        "date_start": "2025-04",
        "diploma_examina": "2025-11-24",
        "doi": "10.34726/hss.2025.133062",
        "matrikelnr": "51803598",
        "open_access": "yes",
        "pages": "86",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "GPU Acceleration",
            "Computational Fluid Dynamics",
            "CUDA",
            "Urban Microclimate Modeling",
            "Poisson Equation Solver",
            "Fast Fourier Transform",
            "Mixed-Precision Methods",
            "Climate-Resilient Urban Planning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "north-2025-aog-thesis.pdf",
                "type": "application/pdf",
                "size": 2124368,
                "path": "Publication:north-2025-aog",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/north-2025-aog-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/north-2025-aog/",
        "__class": "Publication"
    },
    {
        "id": "oda-2025-artevoviewer",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/225534",
        "title": "ArtEvoViewer: A System for Visualizing Interpersonal Influence Among Painters",
        "date": "2025-10-31",
        "abstract": "Large-scale and objective painting analyses have recently gained attention. In particular, analyzing influence between individual painters requires substantial effort and is hard to reproduce due to subjectivity. Despite increasing demand for automatic estimation, this remains unresolved because such influence is complex and often directional, making it difficult to model. In this paper, we develop an interactive system that visualizes, manipulates, and analyses chains of painterly influence as a network. Using 32,401 paintings, the system infers directional links from color and brushstroke features. The resulting network based on color style features captures stylistic lineages such as landscape-focused and portrait-focused streams, while a multifaceted analysis of Picasso shows that Cézanne's impact appears in brushwork rather than color. Our contributions are twofold: (1) the use of an evolutionary model to assign explicit direction to painter influence and support art historical interpretation, and (2) providing a visualization system that allows dynamic comparison of influence networks based on multiple image features.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5544,
            5545,
            1813,
            1850,
            166,
            1410,
            1754
        ],
        "booktitle": "2025 29th International Conference Information Visualisation (IV)",
        "date_from": "2025-08-05",
        "date_to": "2025-08-08",
        "doi": "10.1109/IV68685.2025.00041",
        "event": "29th International Conference Information Visualisation (IV)",
        "isbn": "979-8-3315-7741-4",
        "lecturer": [
            5544
        ],
        "location": "Darmstadt",
        "pages": "6",
        "pages_from": "171",
        "pages_to": "176",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "artist influence estimation",
            "cultural evolution",
            "digital humanities",
            "paintings",
            "system",
            "visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/oda-2025-artevoviewer/",
        "__class": "Publication"
    },
    {
        "id": "kazda-tmd",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Design and Implementation of an AI-Based Edge Device for Automated Traffic Counting",
        "date": "2025-10-27",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 239,
            "image_height": 137,
            "name": "kazda-tmd-image.png",
            "type": "image/png",
            "size": 53206,
            "path": "Publication:kazda-tmd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5474
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-10-27",
        "date_start": "2025-02-28",
        "matrikelnr": "11909468",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "traffic supervision",
            "object detection",
            "vehicle classification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 239,
                "image_height": 137,
                "name": "kazda-tmd-image.png",
                "type": "image/png",
                "size": 53206,
                "path": "Publication:kazda-tmd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kazda-tmd-thesis.pdf",
                "type": "application/pdf",
                "size": 1131160,
                "path": "Publication:kazda-tmd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/kazda-tmd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kazda-tmd/",
        "__class": "Publication"
    },
    {
        "id": "tekaya-2025-amo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/221607",
        "title": "A Matter of Time: Revealing the Structure of Time in Vision-Language Models",
        "date": "2025-10-27",
        "abstract": "Large-scale vision-language models (VLMs) such as CLIP have gained popularity for their generalizable and expressive multimodal representations. By leveraging large-scale training data with diverse textual metadata, VLMs acquire open-vocabulary capabilities, solving tasks beyond their training scope. This paper investigates the temporal awareness of VLMs, assessing their ability to position visual content in time. We introduce TIME10k, a benchmark dataset of over 10,000 images with temporal ground truth, and evaluate the time-awareness of 37 VLMs by a novel methodology. Our investigation reveals that temporal information is structured along a low-dimensional, non-linear manifold in the VLM embedding space. Based on this insight, we propose methods to derive an explicit ''timeline'' representation from the embedding space. These representations model time and its chronological progression and thereby facilitate temporal reasoning tasks. Our timeline approaches achieve competitive to superior accuracy compared to a prompt-based baseline while being computationally efficient. All code and data are available at https://tekayanidham.github.io/timeline-page/.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1536,
            "image_height": 458,
            "name": "tekaya-2025-amo-teaser.png",
            "type": "image/png",
            "size": 4646052,
            "path": "Publication:tekaya-2025-amo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,keywords,projects",
        "repositum_presentation_id": null,
        "authors": [
            5330,
            1110,
            5370
        ],
        "booktitle": "MM '25: Proceedings of the 33rd ACM International Conference on Multimedia",
        "date_from": "2025-10-27",
        "date_to": "2025-10-31",
        "doi": "10.1145/3746027.3758163",
        "event": "ACM International Conference on Multimedia 2025",
        "isbn": "979-8-4007-2035-2",
        "lecturer": [
            5330
        ],
        "location": "Dublin",
        "open_access": "yes",
        "pages": "10",
        "pages_from": "12371",
        "pages_to": "12380",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Multimodal representations",
            "Vision-language models",
            "Time modeling",
            "Time estimation",
            "Benchmark dataset"
        ],
        "weblinks": [
            {
                "href": "https://tekayanidham.github.io/timeline-page/",
                "caption": null,
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1536,
                "image_height": 458,
                "name": "tekaya-2025-amo-teaser.png",
                "type": "image/png",
                "size": 4646052,
                "path": "Publication:tekaya-2025-amo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/tekaya-2025-amo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9522",
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tekaya-2025-amo/",
        "__class": "Publication"
    },
    {
        "id": "hofmann_julia-2025",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Points of Interest in 3D Digital Maps",
        "date": "2025-10-21",
        "abstract": "Landmarks are central to spatial orientation, yet the design of landmarks in rural environments has not been investigated so far. This thesis investigates how landmark visualization modes should be designed to support spatial exploration and landmark comprehension on rural 3D maps. A modular, web-based prototype integrates Points of Interest (PoIs) from OpenStreetMap in an asynchronous preprocessing pipeline that cleans, categorizes, and partitions data for client-side use. A quadtree-based data management approach provides dynamic level-of-detail (LoD) to regulate density and maintain legibility across scales. Within this framework, interchangeable visualization modes (text labels, abstract symbols, pictorial icons, 3D models, and heatmaps) are implemented on a 3D terrain map of Austria, complemented by category-based filtering and details-on-demand interactions.\nThe thesis combines system design with a literature-grounded analysis to articulate the trade-offs among these modes. The resulting guidance emphasizes scale-dependent staging of encodings, control of density before the introduction of detail, and a task-and scale-sensitive balance between abstraction and realism, with semantics exposed\nthrough lightweight interaction rather than persistent annotation. The contributions are twofold: a functional technical framework that operationalizes landmark visualization for rural 3D terrain, and a structured synthesis that clarifies when and why particular visualization methods are advantageous. Evaluation proceeds theoretically rather than through user studies, and the thesis outlines implications and hypotheses for future empirical validation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 792,
            "image_height": 585,
            "name": "hofmann_julia-2025-teaser.png",
            "type": "image/png",
            "size": 892799,
            "path": "Publication:hofmann_julia-2025",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5499
        ],
        "date_end": "2025-10-04",
        "date_start": "2024-10-23",
        "matrikelnr": "11827004",
        "supervisor": [
            1110,
            1937
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/JulesC99/landmark-visualization",
                "caption": "GitHub",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 792,
                "image_height": 585,
                "name": "hofmann_julia-2025-teaser.png",
                "type": "image/png",
                "size": 892799,
                "path": "Publication:hofmann_julia-2025",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hofmann_julia-2025-thesis.pdf",
                "type": "application/pdf",
                "size": 113508424,
                "path": "Publication:hofmann_julia-2025",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/hofmann_julia-2025-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "abteilung"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hofmann_julia-2025/",
        "__class": "Publication"
    },
    {
        "id": "harisch-mvs",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Measuring vehicle speed with video",
        "date": "2025-10-14",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 458,
            "image_height": 255,
            "name": "harisch-mvs-image.png",
            "type": "image/png",
            "size": 186667,
            "path": "Publication:harisch-mvs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5472
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-10-14",
        "date_start": "2025-03-14",
        "matrikelnr": "11705361",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "speed measurement",
            "traffic supervision",
            "vehicle detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 458,
                "image_height": 255,
                "name": "harisch-mvs-image.png",
                "type": "image/png",
                "size": 186667,
                "path": "Publication:harisch-mvs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "harisch-mvs-thesis.pdf",
                "type": "application/pdf",
                "size": 801019,
                "path": "Publication:harisch-mvs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/harisch-mvs-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/harisch-mvs/",
        "__class": "Publication"
    },
    {
        "id": "ott-rgi",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Global Illumination for Voxel Worlds",
        "date": "2025-10-13",
        "abstract": "Achieving realistic real-time rendering of 3D worlds using path tracing remains a significant challenge due to the high sample count required for noise-free images. With voxel-worlds there are some opportunities for optimizations from its unique geometric structure. Typically, real-time applications are constrained to only a few samples per pixel, requiring additional processing to result in a noise-free image. Traditional solutions attempt to address this issue through spatial and temporal reuse of samples or other image data, but implementations frequently introduce undesirable artifacts such as blurring, ghosting, or flickering. In voxel worlds this is especially undesireable because of its sharp geometric features.\nIn this work, we explore a specialized rendering pipeline for voxel-based worlds. We adapt existing techniques to voxel geometry and use a different approach for temporal reuse in order to minimize image artifacts. We begin by generating a low-sample image using path tracing, which is then refined using temporal and spatial resampling. A simple denoiser optimized for preserving details is then applied to remove most of the noise. As a last step, our specialized approach to Temporal Anti-Aliasing (TAA) is applied, which is a central contribution of our pipeline as it removes almost all common artifacts.\nTo evaluate our approach, we conduct a series of qualitative and quantitative experiments. Visual comparisons against standard techniques show an improvement in image clarity. Performance benchmarks demonstrate that our pipeline operates within real-time constraints on modern GPUs, validating its practical applicability for interactive voxel-based applications such as video games.\nBy combining sample refinement adapted to voxel words with lightweight denoising and a data-driven TAA strategy, our method achieves realistic real-time rendering of voxel environments using path tracing with minimal artifacts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "rendering of a voxel world",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2398,
            "image_height": 1219,
            "name": "ott-rgi-image.png",
            "type": "image/png",
            "size": 4981831,
            "path": "Publication:ott-rgi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5405
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2025-10-13",
        "date_start": "2024-11-18",
        "matrikelnr": "12121278",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-Time Rendering",
            "Voxels",
            "Global Illumination",
            "Ray Tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "rendering of a voxel world",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2398,
                "image_height": 1219,
                "name": "ott-rgi-image.png",
                "type": "image/png",
                "size": 4981831,
                "path": "Publication:ott-rgi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/ott-rgi-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ott-rgi/",
        "__class": "Publication"
    },
    {
        "id": "macho_jonas-2024-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray traversal with omnidirectional distance fields in voxel worlds",
        "date": "2025-10-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1137,
            "image_height": 667,
            "name": "macho_jonas-2024-baa-image.jpg",
            "type": "image/jpeg",
            "size": 201809,
            "path": "Publication:macho_jonas-2024-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5441
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-10-10",
        "date_start": "2024-06-28",
        "matrikelnr": "12122403",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1137,
                "image_height": 667,
                "name": "macho_jonas-2024-baa-image.jpg",
                "type": "image/jpeg",
                "size": 201809,
                "path": "Publication:macho_jonas-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "macho_jonas-2024-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 1938594,
                "path": "Publication:macho_jonas-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/macho_jonas-2024-baa-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/macho_jonas-2024-baa/",
        "__class": "Publication"
    },
    {
        "id": "schrammel_sebastian_baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Meshing Sparse SDFs",
        "date": "2025-10-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 503,
            "image_height": 405,
            "name": "schrammel_sebastian_baa-image.png",
            "type": "image/png",
            "size": 134613,
            "path": "Publication:schrammel_sebastian_baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5385
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-10-06",
        "date_start": "2024-10-14",
        "matrikelnr": "1526197",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "signed distance functions",
            "meshing",
            "sparse data structures"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 503,
                "image_height": 405,
                "name": "schrammel_sebastian_baa-image.png",
                "type": "image/png",
                "size": 134613,
                "path": "Publication:schrammel_sebastian_baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schrammel_sebastian_baa-thesis.pdf",
                "type": "application/pdf",
                "size": 1326879,
                "path": "Publication:schrammel_sebastian_baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/schrammel_sebastian_baa-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schrammel_sebastian_baa/",
        "__class": "Publication"
    },
    {
        "id": "seczer-2025-vrs",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "VulkanLaunchpad Rework: Slang",
        "date": "2025-10-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5583
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-10-01",
        "matrikelnr": "12119044",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/seczer-2025-vrs/",
        "__class": "Publication"
    },
    {
        "id": "preissegger-2025-vrh",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "VulkanLaunchpad Rework: Hpp Header",
        "date": "2025-10-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5582
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-10-01",
        "matrikelnr": "12122526",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/preissegger-2025-vrh/",
        "__class": "Publication"
    },
    {
        "id": "casares-magaz-2025-rog",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/221525",
        "title": "Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape",
        "date": "2025-10",
        "abstract": "Background and purpose: The risk of genitourinary late effects is a major dose-limiting factor in radiotherapy for prostate cancer. By using shape analysis and machine learning, the aim of this study was to evaluate whether bladder shape descriptors from the first week of treatment could identify patients experiencing genitourinary late effects.\r\nMaterial and methods: From a cohort of 258 prostate cancer patients treated with daily cone-beam computed tomography (CBCT)-guided radiotherapy (prescription doses of 77.4–81.0 Gy), 7 pre-treatment asymptomatic cases experiencing RTOG genitourinary late effects ≥Grade 2 and 21 matched controls were selected. The bladder was manually contoured on each CBCT, and a 17-D vector comprising shape descriptors was used for patient clustering, focusing on bladder contours from the first week of treatment. ANOVA was used to test statistical significance of descriptors across and within clusters.\r\nResults: Of the contours from the first week of treatment, 84 % could be classified in two main clusters with distinct bladder shape characteristics. This cluster stratification remained identical when bladder contours from the entire course of treatment were used. Convexity, elliptic variance and compactness were significantly different between patients with vs. without genitourinary late effects ≥Grade 2 (p < 0.05). Dice Coefficients between predictive models using descriptors of the first week and the voxels’ probability of belonging to the bladder were above 93 ± 6 % (median ± interquartile range).\r\nConclusion: Bladder shape descriptors in the first week of treatment showed potential to predict the risk of developing genitourinary late effects after radiotherapy for prostate cancer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1444,
            1410,
            5406,
            5505,
            1568,
            5506,
            5507,
            5508,
            5509
        ],
        "articleno": "100855",
        "doi": "10.1016/j.phro.2025.100855",
        "issn": "2405-6316",
        "journal": "Physics and Imaging in Radiation Oncology",
        "open_access": "yes",
        "pages": "5",
        "publisher": "Elsevier Inc.",
        "volume": "36",
        "research_areas": [],
        "keywords": [
            "Adaptive radiotherapy",
            "Machine learning",
            "Prostate cancer radiotherapy",
            "Radiation-induced late effects"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "casares-magaz-2025-rog-paper.pdf",
                "type": "application/pdf",
                "size": 3013928,
                "path": "Publication:casares-magaz-2025-rog",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/casares-magaz-2025-rog-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/casares-magaz-2025-rog-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/casares-magaz-2025-rog/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-www",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/217489",
        "title": "Wiggle! Wiggle! Wiggle! Visualizing uncertainty in node attributes in straight-line node-link diagrams using animated wiggliness",
        "date": "2025-10",
        "abstract": "Uncertainty is common to most types of data, from meteorology to the biomedical sciences. Here, we are interested in the visualization of uncertainty within the context of multivariate graphs, specifically the visualization of uncertainty attached to node attributes. Many visual channels offer themselves up for the visualization of node attributes and their uncertainty. One controversial and relatively under-explored channel, however, is animation, despite its conceptual advantages. In this paper, we investigate node “wiggliness”, i.e. uncertainty-dependent pseudo-random motion of nodes, as a potential new visual channel with which to communicate node attribute uncertainty. To study wiggliness’ effectiveness, we compare it against three other visual channels identified from a thorough review of uncertainty visualization literature—namely node enclosure, node fuzziness, and node color saturation. In a larger-scale, mixed method, Prolific-crowd-sourced, online user study of 160 participants, we quantitatively and qualitatively compare these four uncertainty encodings across eight low-level graph analysis tasks that probe participants’ abilities to parse the presented networks both on an attribute and topological level. We ultimately conclude that all four uncertainty encodings appear comparably useful—as opposed to previous findings. Wiggliness may be a suitable and effective visual channel with which to communicate node attribute uncertainty, at least for the kinds of data and tasks considered in our study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5488,
            5417,
            1464,
            1410
        ],
        "articleno": "104290",
        "doi": "10.1016/j.cag.2025.104290",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "131",
        "research_areas": [],
        "keywords": [
            "Network Visualization",
            "Uncertainty Visualization",
            "Animation",
            "Fuzziness",
            "Enclosure",
            "Saturation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-www/",
        "__class": "Publication"
    },
    {
        "id": "komon-2025-webigeo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/221523",
        "title": "weBIGeo: Interaktive Lawinensimulation im Web",
        "date": "2025-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2556,
            "image_height": 1303,
            "name": "komon-2025-webigeo-teaser.png",
            "type": "image/png",
            "size": 5204641,
            "path": "Publication:komon-2025-webigeo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            1859,
            1869,
            5510,
            5511,
            5512,
            5513,
            1013,
            1110
        ],
        "ac_number": "AC17717665",
        "booktitle": "Tagungsband des 6. internationalen Lawinensymposiums",
        "date_from": "2025-10-18",
        "date_to": "2025-10-18",
        "doi": "10.34726/11439",
        "event": "6. Lawinen Symposium Graz 2025",
        "lecturer": [
            1859,
            1110
        ],
        "location": "Graz",
        "open_access": "yes",
        "pages": "4",
        "pages_from": "150",
        "pages_to": "153",
        "research_areas": [
            "InfoVis",
            "Modeling"
        ],
        "keywords": [
            "Visualisierung",
            "Lawinen",
            "3D Karten"
        ],
        "weblinks": [
            {
                "href": "https://webigeo.alpinemaps.org/",
                "caption": "demo",
                "description": "weBIGeo demo: requires WebGPU-ready browser! ",
                "main_file": 1
            },
            {
                "href": "https://lawinensymposium.naturfreunde.at/",
                "caption": "Lawinensymposium",
                "description": "Lawinensymposium",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "komon-2025-webigeo-paper.pdf",
                "type": "application/pdf",
                "size": 1611394,
                "path": "Publication:komon-2025-webigeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2556,
                "image_height": 1303,
                "name": "komon-2025-webigeo-teaser.png",
                "type": "image/png",
                "size": 5204641,
                "path": "Publication:komon-2025-webigeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/komon-2025-webigeo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9555",
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-2025-webigeo/",
        "__class": "Publication"
    },
    {
        "id": "trenovatz-lpd",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "License Plate detection with video",
        "date": "2025-09-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 499,
            "image_height": 446,
            "name": "trenovatz-lpd-image.png",
            "type": "image/png",
            "size": 157000,
            "path": "Publication:trenovatz-lpd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5473
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-09-30",
        "date_start": "2025-02-28",
        "matrikelnr": "11924505",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "license plate recognition",
            "traffic supervision",
            "traffic counting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 499,
                "image_height": 446,
                "name": "trenovatz-lpd-image.png",
                "type": "image/png",
                "size": 157000,
                "path": "Publication:trenovatz-lpd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "trenovatz-lpd-thesis.pdf",
                "type": "application/pdf",
                "size": 983093,
                "path": "Publication:trenovatz-lpd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/trenovatz-lpd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/trenovatz-lpd/",
        "__class": "Publication"
    },
    {
        "id": "tretyak-2025-tacmedvr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/225648",
        "title": "TacMedVR: Immersive VR Training for Tactical Medicine—Evaluating Interaction and Stress Response",
        "date": "2025-09-25",
        "abstract": "This paper presents the development and evaluation of a virtual reality (VR) training simulation for tactical emergency medicine, created in Unity and optimized for the Meta Quest 3 headset. The simulation places users in a high-stress scenario inspired by real knife attacks and incorporates natural hand tracking for interaction. Core training elements include triage, bleeding control, and communication with victims and bystanders. A qualitative study with ten participants, all with prior first aid or tactical medical training, explored three key research questions: (1) To what extent does the realistic recreation of real-world events affect trainees' perceived psychological stress and sense of immersion in virtual reality simulations? (2) How do hand tracking and traditional controllers compare in terms of usability? (3) How is VR perceived as a complementary or alternative method to conventional training? Thematic analysis revealed that visual and auditory realism enhanced immersion but did not consistently increase perceived stress. Hand tracking was considered intuitive but occasionally unreliable. Participants generally viewed VR as a valuable complement to traditional training, particularly for practicing workflows and rapid decision-making under pressure. The results underscore VR's potential as a scalable, engaging, and safe tool for preparing responders for high-threat environments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5476,
            166
        ],
        "booktitle": "2025 11th International Conference on Virtual Reality (ICVR)",
        "date_from": "2025-07-09",
        "date_to": "2025-07-11",
        "doi": "10.1109/ICVR66534.2025.11172647",
        "event": "11th International Conference on Virtual Reality (ICVR 2025)",
        "isbn": "979-8-3503-9273-9",
        "lecturer": [
            5476
        ],
        "location": "Wageningen",
        "pages": "6",
        "pages_from": "345",
        "pages_to": "350",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Hand Tracking",
            "Interaction Design",
            "Medical Simulation",
            "Simulation-Based Training",
            "Virtual Reality in Education"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tacmedvr/",
        "__class": "Publication"
    },
    {
        "id": "kummer-2025-fvo",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/219860",
        "title": "Flattening-based visualization of supine breast MRI",
        "date": "2025-09-22",
        "abstract": "We propose two novel visualization methods optimized for supine breast images that “flatten” breast tissue, facilitating examination of larger tissue areas within each coronal slice. Breast cancer is the most frequently diagnosed cancer in women, and early lesion detection is crucial for reducing mortality. Supine breast magnetic resonance imaging (MRI) enables better lesion localization for image-guided interventions; however, traditional axial visualization is suboptimal because the tissue spreads over the chest wall, resulting in numerous fragmented slices that radiologists must scroll through during standard interpretation. Using a human-centered design approach, we incorporated user and expert feedback throughout the co-design and evaluation stages of our flattening methods. Our first proposed method, a surface-cutting approach, generates offset surfaces and flattens them independently using As-Rigid-As-Possible (ARAP) surface mesh parameterization. The second method uses a landmark-based warp to flatten the entire breast volume at once. Expert evaluations revealed that the surface-cutting method provides intuitive overviews and clear vascular detail, with low metric (2–2.5%) and area (3.7–4.4%) distortions. However, independent slice flattening can introduce depth distortions across layers. The landmark warp offers consistent slice alignment and supports direct annotations and measurements, with radiologists favoring it for its anatomical accuracy. Both methods significantly reduced the number of slices needed to review, highlighting their potential for time savings and clinical impact — an essential factor for adopting supine MRI.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5500,
            5501,
            5502,
            1410,
            231
        ],
        "ac_number": "AC17670018",
        "articleno": "104395",
        "doi": "10.1016/j.cag.2025.104395",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "open_access": "yes",
        "pages": "9",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "133",
        "research_areas": [],
        "keywords": [
            "Image reformation",
            "Medical visualization",
            "Breast imaging",
            "Radiology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kummer-2025-fvo-paper.pdf",
                "type": "application/pdf",
                "size": 3063948,
                "path": "Publication:kummer-2025-fvo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/kummer-2025-fvo-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo/",
        "__class": "Publication"
    },
    {
        "id": "huber-2025-eed",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/220017",
        "title": "Enhancing Environmental Data Communication Through VR",
        "date": "2025-09-12",
        "abstract": "This paper examines how environmental data can be effectively communicated to non-experts in interactive, immersive 3D spaces. Utilizing a use case centered on global spatio-temporal CO2 emissions and population dynamics over the past six decades, we explore techniques for presenting both absolute (country-level) and per capita data within meaningful spatial and temporal contexts. We developed a VR prototype visualizing these data on an interactive 3D globe and conducted a qualitative user study to evaluate its clarity and interpretability for non-expert audiences. Our findings suggest that incorporating clear geographical context, intuitive representations, and user-centered interactions can enhance engagement and certain aspects of understanding. We thereby offer a practical contribution to tackling environmental data visualization and communication in immersive environments. This promotes transparency and mitigates the risk of misinterpretation or misinformation in data communication across emerging digital media platforms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3835,
            "image_height": 1551,
            "name": "huber-2025-eed-teaser.PNG",
            "type": "image/png",
            "size": 4027742,
            "path": "Publication:huber-2025-eed",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,pages_from,pages_to",
        "repositum_presentation_id": null,
        "authors": [
            5456,
            1653,
            1030,
            5485
        ],
        "ac_number": "AC17672916",
        "booktitle": "Computer Graphics & Visual Computing (CGVC) 2025 : Eurographics UK Chapter Proceedings : Liverpool John Moores University, UK : 11 - 12 September 2025",
        "date_from": "2025-09-11",
        "date_to": "2025-09-12",
        "doi": "10.2312/cgvc.20251220",
        "event": "Computer Graphics & Visual Computing 2025 (CGVC 2025)",
        "isbn": "978-3-03868-293-6",
        "lecturer": [
            5456
        ],
        "location": "Liverpool John Moores University",
        "open_access": "yes",
        "pages": "5",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "InfoVis",
            "VR"
        ],
        "keywords": [
            "Human-centered computing",
            "User studies",
            "Virtual reality",
            "Information visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "huber-2025-eed-paper.pdf",
                "type": "application/pdf",
                "size": 4585623,
                "path": "Publication:huber-2025-eed",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3835,
                "image_height": 1551,
                "name": "huber-2025-eed-teaser.PNG",
                "type": "image/png",
                "size": 4027742,
                "path": "Publication:huber-2025-eed",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/huber-2025-eed-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d10164"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-eed/",
        "__class": "Publication"
    },
    {
        "id": "mueller-2024-rbt",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time bike-related traffic violation detection of cars",
        "date": "2025-09-12",
        "abstract": "Multi-modal object detection offers more significant results than 3D object de-\ntection within a single domain[Shi20]. In the case of autonomous driving, a\n\ncombination of modalities is used to complement other modalities weaknesses.\nWhile LIDAR sensors offer great depth and reflection information precision, the\noutput is a sparsely populated point cloud. RGB images, on the other hand,\noffer great resolution and improve object detection and classification results.\nHowever, to be able to extract precise 3D bounding cuboids, it is often fusioned\nwith point clouds or other depth information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 742,
            "image_height": 468,
            "name": "mueller-2024-rbt-image.png",
            "type": "image/png",
            "size": 493687,
            "path": "Publication:mueller-2024-rbt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5355
        ],
        "date_end": "2025-09-12",
        "date_start": "2024-03-07",
        "matrikelnr": "01417912",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "sensors",
            "bicycle",
            "traffic rules"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 742,
                "image_height": 468,
                "name": "mueller-2024-rbt-image.png",
                "type": "image/png",
                "size": 493687,
                "path": "Publication:mueller-2024-rbt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mueller-2024-rbt-thesis.pdf",
                "type": "application/pdf",
                "size": 1095091,
                "path": "Publication:mueller-2024-rbt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/mueller-2024-rbt-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/mueller-2024-rbt/",
        "__class": "Publication"
    },
    {
        "id": "KOEPPEL-2025-Nearfield",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nearfield Viewer",
        "date": "2025-09-11",
        "abstract": "In lighting design, simulations rely on far-field photometry, which represents a luminaire\nby a point source with 2D angular luminous-intensity distribution. Moreover, lighting tools\nfocus on luminaire’s illumination while neglecting their visual appearance. For luminaires\nwith optically complex fixtures, far-field data is inaccurate. Near-field scans capture the\nrequired detail, but have large memomry requirements and are slow to render using current\napproaches. We present a real-time viewer that displays the luminaire appearance directly\nfrom near-field measurements rather than running a global illumination simulation. For every\nscreen pixel, we find the best measurement point and sample the corresponding data. Through\nour viewer, we showcase that near-field data can be used interactively on consumer hardware\nby using our data packing and sampling approach. Our approach provides a practical baseline\nfor future work on neural compression and using higher resolution scans, aiming to further\nimprove visual quality in lighting design.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "KOEPPEL-2025-Nearfield-image.png",
            "type": "image/png",
            "size": 146541,
            "path": "Publication:KOEPPEL-2025-Nearfield",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5237
        ],
        "date_end": "2025-09-11",
        "date_start": "2025-02-18",
        "matrikelnr": "12022493",
        "supervisor": [
            193,
            659
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "near-field illumination",
            "luminaire design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "KOEPPEL-2025-Nearfield-image.png",
                "type": "image/png",
                "size": 146541,
                "path": "Publication:KOEPPEL-2025-Nearfield",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KOEPPEL-2025-Nearfield-report.pdf",
                "type": "application/pdf",
                "size": 5630442,
                "path": "Publication:KOEPPEL-2025-Nearfield",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/KOEPPEL-2025-Nearfield-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KOEPPEL-2025-Nearfield/",
        "__class": "Publication"
    },
    {
        "id": "seyr-2025-lbt",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lowering the Barrier to Graphics Education: Shwizard - An Educational Game for Understanding Shader Concepts",
        "date": "2025-09-09",
        "abstract": "This thesis explores whether shader fundamentals can be effectively taught to individuals\nwithout programming experience. It examines a hybrid instructional approach that combines\ntutorials, short quizzes, and hands-on experiential learning. Shwizard is a serious game\ndeveloped for this purpose, offering short introductory lessons on shader types, immediate\nquizzes for reinforcement, and a sandbox environment where players can complete quests that\nreveal the effects of shaders on various game objects. This thesis will examine how these\ncombined methods influence learning outcomes, motivation, and user engagement.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5516
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-09-09",
        "matrikelnr": "12119032",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/seyr-2025-lbt/",
        "__class": "Publication"
    },
    {
        "id": "proelss-bdp",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Building a drone platform for autonomous scanning",
        "date": "2025-09-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1050,
            "image_height": 740,
            "name": "proelss-bdp-image.png",
            "type": "image/png",
            "size": 729020,
            "path": "Publication:proelss-bdp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5471
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-08-09",
        "date_start": "2025-03-20",
        "matrikelnr": "11912403",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "drone",
            "autonomous scanning",
            "lidar"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1050,
                "image_height": 740,
                "name": "proelss-bdp-image.png",
                "type": "image/png",
                "size": 729020,
                "path": "Publication:proelss-bdp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "proelss-bdp-thesis.pdf",
                "type": "application/pdf",
                "size": 879923,
                "path": "Publication:proelss-bdp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/proelss-bdp-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/proelss-bdp/",
        "__class": "Publication"
    },
    {
        "id": "KRISTMANN-24-JPG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/219184",
        "title": "Real-Time Rendering with JPEG-Compressed Textures",
        "date": "2025-09",
        "abstract": "Although variable-rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real-time rendering due to special requirements such as random access to individual texels. In this thesis, we investigate the feasibility of variable-rate texture compression on modern GPUs using the JPEG format, and how it compares to the GPU-friendly fixed-rate compression approaches BC1 and ASTC.Using a deferred rendering pipeline and a list of pointers to individually encoded JPEG blocks, we are able to identify the subset of blocks that are needed for a given frame, decode these, and colourise the framebuffer’s pixels. Despite the additional 0.5 bit per texel that we require for our approach, JPEG maintains significantly better quality and compression rates compared to BC1, and is able to compete with ASTC. Although we can not fully compete performance-wise, decoding the required texels of a JPEG texture requires less than 1ms per frame on an RTX 4090, thus demonstrating that variable-rate encoded image formats are feasible for rendering pipelines that are based on deferred rendering or visibility buffers",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "MCU-Utilisation: Each pixel is coloured by how many of the corresponding\nMCU’s texels are actually used. Red: This pixel’s colour is sourced from an MCU where\nall its texels are used. Blue: Only a single texel of the corresponding MCU made it into\nthe final image.",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1042,
            "image_height": 763,
            "name": "KRISTMANN-24-JPG-Teaser.jpg",
            "type": "image/jpeg",
            "size": 134818,
            "path": "Publication:KRISTMANN-24-JPG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "access,title,date",
        "repositum_presentation_id": null,
        "authors": [
            1935
        ],
        "ac_number": "AC17639949",
        "co_supervisor": [
            1116
        ],
        "date_end": "2025-09",
        "date_start": "2024-12",
        "diploma_examina": "2025-09-11",
        "doi": "10.34726/hss.2025.134600",
        "matrikelnr": "01519693",
        "open_access": "yes",
        "pages": "73",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Texture compression",
            "Real-time rendering",
            "JPEG",
            "Image compression",
            "Cuda",
            "Variable-rate compression",
            "Huffman coding",
            "Parallel computing"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": "MCU-Utilisation: Each pixel is coloured by how many of the corresponding\nMCU’s texels are actually used. Red: This pixel’s colour is sourced from an MCU where\nall its texels are used. Blue: Only a single texel of the corresponding MCU made it into\nthe final image.",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1042,
                "image_height": 763,
                "name": "KRISTMANN-24-JPG-Teaser.jpg",
                "type": "image/jpeg",
                "size": 134818,
                "path": "Publication:KRISTMANN-24-JPG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-Teaser:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KRISTMANN-24-JPG-thesis.pdf",
                "type": "application/pdf",
                "size": 4052635,
                "path": "Publication:KRISTMANN-24-JPG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/KRISTMANN-24-JPG-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/KRISTMANN-24-JPG/",
        "__class": "Publication"
    },
    {
        "id": "gall-2025-marv",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/223667",
        "title": "MARV: Multiview Augmented Reality Visualisation for Exploring Rich Material Data",
        "date": "2025-09",
        "abstract": "Rich material data is complex, large and heterogeneous, integrating primary and secondary non-destructive testing data for spatial, spatio-temporal, as well as high-dimensional data analyses. Currently, materials experts mainly rely on conventional desktop-based systems using 2D visualisation techniques, which render respective analyses a time-consuming and mentally demanding challenge. MARV is a novel immersive visual analytics system, which makes analyses of such data more effective and engaging in an augmented reality setting. For this purpose, MARV includes three newly designed visualisation techniques: MDD Glyphs with a Skewness Kurtosis Mapper, Temporal Evolution Tracker, and Chrono Bins, facilitating interactive exploration and comparison of multidimensional distributions of attribute data from multiple time steps. A qualitative evaluation conducted with materials experts in a real-world case study demonstrates the benefits of the proposed visualisation techniques. This evaluation revealed that combining spatial and abstract data in an immersive environment improves their analytical capabilities and facilitates the identification of patterns, anomalies, as well as changes over time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1355,
            1354,
            166,
            611
        ],
        "articleno": "e70150",
        "doi": "10.1111/cgf.70150",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "6",
        "pages": "15",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [
            "VisMat",
            "VR"
        ],
        "keywords": [
            "virtual environments",
            "augmented reality",
            "immersive analytics",
            "scientific visualisation",
            "visualization",
            "visual analytics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/gall-2025-marv/",
        "__class": "Publication"
    },
    {
        "id": "ellhotka-2025-ipo",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving the Performance of Edge-Path Bundling With WebGPU",
        "date": "2025-09",
        "abstract": "Visualizing large graphs is often challenging due to visual clutter, which obscures important patterns. While Spanner-based Edge-Path Bundling (S-EPB) is an effective technique\nfor mitigating this issue, its CPU-based implementation is too slow for interactive use, particularly in web environments. This thesis presents a Parallel Edge-Path Bundling (P-EPB) algorithm that addresses this performance limitation by utilizing the massively parallel processing capabilities of modern Graphics Processing Unit (GPU)s through the WebGPU API.\n\nThe proposed algorithm reengineers the S-EPB technique for parallel execution, with a focus on finding and then optimizing the most computationally demanding tasks: spanner construction and shortest-path calculations. A parallelized Floyd–Warshall algorithm, together with different spanner construction methods (greedy and theta-graph), is employed in implementing the P-EPB algorithm as an interactive web application. \n\nA detailed evaluation compares the WebGPU-based P-EPB algorithm to the CPU-based S-EPB implementation. Results show that the P-EPB approach, particularly when using a theta-spanner, delivers substantial speedups on dense graphs. This work highlights the potential of WebGPU to enable high-performance, interactive graph visualization and analysis in web-based environments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "ellhotka-2025-ipo-teaser.png",
            "type": "image/png",
            "size": 615750,
            "path": "Publication:ellhotka-2025-ipo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5498
        ],
        "date_end": "2025-09",
        "date_start": "2025-03",
        "matrikelnr": "11776184",
        "supervisor": [
            166,
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/YannicEl/edge_bundling_webgpu",
                "caption": "GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://bachelor.yannic.at/app?graph=airlines&spannerAlgorithm=theta&renderingMode=quality",
                "caption": "demo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "ellhotka-2025-ipo-teaser.png",
                "type": "image/png",
                "size": 615750,
                "path": "Publication:ellhotka-2025-ipo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ellhotka-2025-ipo-thesis.pdf",
                "type": "application/pdf",
                "size": 8099963,
                "path": "Publication:ellhotka-2025-ipo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/ellhotka-2025-ipo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ellhotka-2025-ipo/",
        "__class": "Publication"
    },
    {
        "id": "kraehsmaier-dsc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Detection, Segmentation and Classification of Scarves",
        "date": "2025-08-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "picture-teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 572,
            "image_height": 697,
            "name": "kraehsmaier-dsc-picture-teaser.png",
            "type": "image/png",
            "size": 609170,
            "path": "Publication:kraehsmaier-dsc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-picture-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-picture-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5495
        ],
        "date_end": "2025-08-21",
        "date_start": "2024-10-01",
        "matrikelnr": "12122535",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "picture-teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 572,
                "image_height": 697,
                "name": "kraehsmaier-dsc-picture-teaser.png",
                "type": "image/png",
                "size": 609170,
                "path": "Publication:kraehsmaier-dsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-picture-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-picture-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kraehsmaier-dsc-thesis.pdf",
                "type": "application/pdf",
                "size": 18617457,
                "path": "Publication:kraehsmaier-dsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/kraehsmaier-dsc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kraehsmaier-dsc/",
        "__class": "Publication"
    },
    {
        "id": "hamzic_ademir-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing change detection on mobile",
        "date": "2025-08-12",
        "abstract": "Tasks:\n- Mit ToF Kamera und RGB Kamera (neueres Android Smartphone, Kinect, OAK-D Wide Pro) Tiefenbild und RGB Bild aufnehmen (haben jeweils leicht verschiedene Kameraparameter, das muss transformiert werden, sodass es sich überdeckt)\n- Change Detection (implementiert wer anderer) durchführen, die Punkte markiert: entweder infinitam.org auf Android portieren oder mittels Client/Server an den Server an der TU falls nicht möglich\n- Changes als markierte Pixel (Augmented Reality) über dem aktuellen RGB-Bild auf dem Smartphone anzeigen\n- Evaluierung: wie schnell kann die Registrierung, Change Detection und Visualisierung dargestellt werden und wie genau (ausgenommen Change detection) ist sie\n\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 489,
            "image_height": 254,
            "name": "hamzic_ademir-baa-image.png",
            "type": "image/png",
            "size": 162798,
            "path": "Publication:hamzic_ademir-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5351
        ],
        "date_end": "2025-08-12",
        "date_start": "2024-03-15",
        "matrikelnr": "11937905",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "drone",
            "visualization",
            "change detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 489,
                "image_height": 254,
                "name": "hamzic_ademir-baa-image.png",
                "type": "image/png",
                "size": 162798,
                "path": "Publication:hamzic_ademir-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hamzic_ademir-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 849506,
                "path": "Publication:hamzic_ademir-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/hamzic_ademir-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/hamzic_ademir-baa/",
        "__class": "Publication"
    },
    {
        "id": "kubicek-2024-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Change Detection",
        "date": "2025-08-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 455,
            "image_height": 341,
            "name": "kubicek-2024-baa-image.png",
            "type": "image/png",
            "size": 184918,
            "path": "Publication:kubicek-2024-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5363
        ],
        "date_end": "2025-08-05",
        "date_start": "2024-05-13",
        "matrikelnr": "12026660",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "change detection",
            "stereo vision",
            "data structure"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 455,
                "image_height": 341,
                "name": "kubicek-2024-baa-image.png",
                "type": "image/png",
                "size": 184918,
                "path": "Publication:kubicek-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kubicek-2024-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 960689,
                "path": "Publication:kubicek-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/kubicek-2024-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kubicek-2024-baa/",
        "__class": "Publication"
    },
    {
        "id": "kozonits_marcel-2025-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimize cyclesafely pipeline",
        "date": "2025-07-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 209,
            "image_height": 135,
            "name": "kozonits_marcel-2025-baa-image.png",
            "type": "image/png",
            "size": 45093,
            "path": "Publication:kozonits_marcel-2025-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5446
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-07-07",
        "date_start": "2025-02-20",
        "matrikelnr": "12122382",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kozonits_marcel-2025-baa-.pdf",
                "type": "application/pdf",
                "size": 902236,
                "path": "Publication:kozonits_marcel-2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 209,
                "image_height": 135,
                "name": "kozonits_marcel-2025-baa-image.png",
                "type": "image/png",
                "size": 45093,
                "path": "Publication:kozonits_marcel-2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/kozonits_marcel-2025-baa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kozonits_marcel-2025-baa/",
        "__class": "Publication"
    },
    {
        "id": "BAUER-2025-PCW",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering of Point Clouds via WebGPU",
        "date": "2025-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "BAUER-2025-PCW-.pdf",
            "type": "application/pdf",
            "size": 2697476,
            "path": "Publication:BAUER-2025-PCW",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/BAUER-2025-PCW/BAUER-2025-PCW-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/BAUER-2025-PCW/BAUER-2025-PCW-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5491
        ],
        "date_end": "2025-07",
        "date_start": "2024-06",
        "matrikelnr": "012120495",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BAUER-2025-PCW-.pdf",
                "type": "application/pdf",
                "size": 2697476,
                "path": "Publication:BAUER-2025-PCW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/BAUER-2025-PCW/BAUER-2025-PCW-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/BAUER-2025-PCW/BAUER-2025-PCW-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/BAUER-2025-PCW/",
        "__class": "Publication"
    },
    {
        "id": "2025-v2e",
        "type_id": "proceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/217350",
        "title": "VisGames 2025: EuroVis Workshop on Visualization Play, Games, and Activities",
        "date": "2025-06-02",
        "abstract": "We are happy to announce that the first Workshop on Visualization, Play, Games, and Activities: VisGames will take place as part of the EuroVis Conference on June 2, 2025, in Luxembourg. VisGames explores how visualization games and playful activities can be used beyond education as tools for communication, co-creation, and collaborative problem-solving. With this workshop, we aim to highlight innovative approaches that foster idea generation, support decision-making, engage stakeholders, and evaluate visualization design through interactive and game-based methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [],
        "editor": "Stoiber, Christina and Boucher, Magdalena and de Jesus Oliveira, Victor Adriel and Schetinger, Victor and Filipov, Velitchko and Raidou, Renata Georgia and Amabili, Lorenzo and Keck, Mandy and Aigner, Wolfgang",
        "isbn": "978-3-03868-290-5",
        "publisher": "Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Visual Analytics",
            "Visualization",
            "Games",
            "Activities"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/2025-v2e/",
        "__class": "Publication"
    },
    {
        "id": "Braunsperger-2025_bsc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data-Centric Methods for Efficient Deep Assembly Verification: A Case Study in Electronic Lock Manufacturing",
        "date": "2025-06",
        "abstract": "This thesis investigates data-efficient deep learning methods for visual assembly ver-\nification in a highly customizable electronic lock production line. We examine three\ndata-centric strategies. First, ROI-based methods leverage the fixed geometry of the\nworkpiece carriers by reformulating object detection as a set of classification or regression\ntasks over predefined regions. Second, pseudo bounding boxes are created by combining\nimage-level labels with known part positions to automatically generate object detection\nannotations without manual labelling. Third, synthetic training data is produced by\ncompositing cropped part images with background scenes, thereby increasing dataset\ndiversity and reducing the need for extensive manual data collection.\nThese methods are evaluated on a real-world dataset collected during regular production\nto assess their effectiveness in reducing manual annotation effort. We provide a compre-\nhensive comparison of data-centric approaches, highlighting their respective strengths\nand limitations. The results demonstrate that leveraging the structured nature of the\nassembly environment enables accurate model performance with substantially reduced\nannotation requirements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "An example from the dataset presented in the thesis showing a Double-sided hybrid Euro cylinder with electronic thumbturn and keyway",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1012,
            "image_height": 888,
            "name": "Braunsperger-2025_bsc-teaser.png",
            "type": "image/png",
            "size": 1577249,
            "path": "Publication:Braunsperger-2025_bsc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5475
        ],
        "date_end": "2025-06",
        "date_start": "2024-09",
        "matrikelnr": "11909911",
        "supervisor": [
            1813,
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "An example from the dataset presented in the thesis showing a Double-sided hybrid Euro cylinder with electronic thumbturn and keyway",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1012,
                "image_height": 888,
                "name": "Braunsperger-2025_bsc-teaser.png",
                "type": "image/png",
                "size": 1577249,
                "path": "Publication:Braunsperger-2025_bsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Braunsperger-2025_bsc-thesis.pdf",
                "type": "application/pdf",
                "size": 69351689,
                "path": "Publication:Braunsperger-2025_bsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/Braunsperger-2025_bsc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Braunsperger-2025_bsc/",
        "__class": "Publication"
    },
    {
        "id": "erler-2025-lidarscout",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216864",
        "title": "LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds",
        "date": "2025-06",
        "abstract": "Large-scale terrain scans are the basis for many important tasks, such as topographic mapping, forestry, agriculture, and infrastructure planning. The resulting point cloud data sets are so massive in size that even basic tasks like viewing take hours to days of pre-processing in order to create level-of-detail structures that allow inspecting the data set in their entirety in real time. In this paper, we propose a method that is capable of instantly visualizing massive country-sized scans with hundreds of billions of points. Upon opening the data set, we first load a sparse subsample of points and initialize an overview of the entire point cloud, immediately followed by a surface reconstruction process to generate higher-quality, hole-free heightmaps. As users start navigating towards a region of interest, we continue to prioritize the heightmap construction process to the user's viewpoint. Once a user zooms in closely, we load the full-resolution point cloud data for that region and update the corresponding height map textures with the full-resolution data. As users navigate elsewhere, full-resolution point data that is no longer needed is unloaded, but the updated heightmap textures are retained as a form of medium level of detail. Overall, our method constitutes a form of direct out-of-core rendering for massive point cloud data sets (terabytes, compressed) that requires no preprocessing and no additional disk space. Source code, executable, pre-trained model, and dataset are available at: https://github.com/cg-tuwien/lidarscout",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2456,
            "image_height": 1411,
            "name": "erler-2025-lidarscout-teaser.jpg",
            "type": "image/jpeg",
            "size": 421958,
            "path": "Publication:erler-2025-lidarscout",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,articleno",
        "repositum_presentation_id": null,
        "authors": [
            1395,
            1857,
            193,
            1116
        ],
        "articleno": "10.2312/hpg.20251170",
        "booktitle": "High-Performance Graphics 2025 - Symposium Papers",
        "date_from": "2025-06-23",
        "date_to": "2025-06-25",
        "doi": "10.2312/hpg.20251170",
        "event": "High-Performance Graphics 2025",
        "isbn": "978-3-03868-291-2",
        "lecturer": [
            1395
        ],
        "location": "Koppenhagen",
        "pages": "11",
        "publisher": "the Eurographics Association",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "Point-based models",
            "Mesh models",
            "Neural networks",
            "Reconstruction",
            "Aerial LIDAR"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/lidarscout",
                "caption": "Repository of Viewer Source",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/lidarscout_training",
                "caption": "Repository of Training Source",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://www.youtube.com/watch?v=q7Ap-FHZufY&list=PLD5wBo3-8n8LVGp6BDOFuPgGANdoYg_uk&index=8",
                "caption": "Presentation from HPG 2025",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://doi.org/10.48436/443tr-j4096",
                "caption": "TUW Research Data Repository",
                "description": "Datasets, models, more results",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Datasets for training and testing, containing chunk points and GT patches",
                "filetitle": "Datasets",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Datasets.zip",
                "type": "application/x-zip-compressed",
                "size": 3201189460,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Datasets.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Models with checkpoints, training logs, hyperparameters and TorchScript",
                "filetitle": "Models",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Models.zip",
                "type": "application/x-zip-compressed",
                "size": 185148024,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Models.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Paper.pdf",
                "type": "application/pdf",
                "size": 41113068,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Paper:thumb{{size}}.png"
            },
            {
                "description": "Results CNN Allstar (more training data, best results)",
                "filetitle": "Results_best",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Results_best.zip",
                "type": "application/x-zip-compressed",
                "size": 2019427310,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Results_best.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Results CNN (main method)",
                "filetitle": "Results_main",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Results_main.zip",
                "type": "application/x-zip-compressed",
                "size": 1781055950,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Results_main.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "teaser_large",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2480,
                "image_height": 965,
                "name": "erler-2025-lidarscout-teaser_large.jpg",
                "type": "image/jpeg",
                "size": 403739,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser_large.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser_large:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2456,
                "image_height": 1411,
                "name": "erler-2025-lidarscout-teaser.jpg",
                "type": "image/jpeg",
                "size": 421958,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-teaser:thumb{{size}}.png"
            },
            {
                "description": "A screen capture of the viewer",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-video.mp4",
                "type": "video/mp4",
                "size": 122979998,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-video:video.mp4"
            },
            {
                "description": "LidarScout Executable for Windows",
                "filetitle": "Viewer",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2025-lidarscout-Viewer.zip",
                "type": "application/x-zip-compressed",
                "size": 2360647751,
                "path": "Publication:erler-2025-lidarscout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/erler-2025-lidarscout-Viewer.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "d9275",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/erler-2025-lidarscout/",
        "__class": "Publication"
    },
    {
        "id": "eschner-2025-ide",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/216865",
        "title": "Interactive Discovery and Exploration of Visual Bias in Generative Text‐to‐Image Models",
        "date": "2025-06",
        "abstract": "Bias in generative Text-to-Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Explorer (ViBEx) to interactively explore the output space of T2I models to support the discovery of visual bias. ViBEx introduces a novel flexible prompting tree interface in combination with zero-shot bias probing using CLIP for quick and approximate bias exploration. It additionally supports in-depth confirmatory bias analysis through visual inspection of forward, intersectional, and inverse bias queries. ViBEx is model-agnostic and publicly available. In four case study interviews, experts in AI and ethics were able to discover visual biases that have so far not been described in literature.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2578,
            "image_height": 1292,
            "name": "eschner-2025-ide-image.png",
            "type": "image/png",
            "size": 1659146,
            "path": "Publication:eschner-2025-ide",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "title,date,projects,event,lecturer,location,number,volume",
        "repositum_presentation_id": null,
        "authors": [
            1653,
            5490,
            5370,
            1110
        ],
        "ac_number": "AC17579673",
        "articleno": "e70135",
        "doi": "10.1111/cgf.70135",
        "event": "EuroVis 2025",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1653
        ],
        "location": "Luxembourg",
        "number": "3",
        "open_access": "yes",
        "pages": "20",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Visualization",
            "Bias",
            "Artificial Intelligence"
        ],
        "weblinks": [
            {
                "href": "https://vibex.jde.cg.tuwien.ac.at",
                "caption": "live demo",
                "description": "Live demo of the ViBEx application",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2578,
                "image_height": 1292,
                "name": "eschner-2025-ide-image.png",
                "type": "image/png",
                "size": 1659146,
                "path": "Publication:eschner-2025-ide",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-2025-ide-paper.pdf",
                "type": "application/pdf",
                "size": 46238959,
                "path": "Publication:eschner-2025-ide",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/eschner-2025-ide-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/eschner-2025-ide/",
        "__class": "Publication"
    },
    {
        "id": "matt-2025-scv",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/216286",
        "title": "Scalable Class-Centric Visual Interactive Labeling",
        "date": "2025-06",
        "abstract": "Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual scalability challenges and imposes a high cognitive load on the users. Traditional instance-centric labeling methods, where (single) instances are labeled in each iteration struggle to scale effectively in these scenarios. To address these challenges, we introduce cVIL, a Class-Centric Visual Interactive Labeling methodology designed for interactive visual data labeling. By shifting the paradigm from assigning-classes-to-instances to assigning-instances-to-classes, cVIL reduces labeling effort and enhances efficiency for annotators working with large, complex and class-rich datasets. We propose a novel visual analytics labeling interface built on top of the conceptual cVIL workflow, enabling improved scalability over traditional visual labeling. In a user study, we demonstrate that cVIL can improve labeling efficiency and user satisfaction over instance-centric interfaces. The effectiveness of cVIL is further demonstrated through a usage scenario, showcasing its potential to alleviate cognitive load and support experts in managing extensive labeling tasks efficiently.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "class-centric visual interactive labeling workflow",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1667,
            "image_height": 624,
            "name": "matt-2025-scv-teaser.png",
            "type": "image/png",
            "size": 254694,
            "path": "Publication:matt-2025-scv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5263,
            5487,
            1851,
            5370,
            1110
        ],
        "articleno": "104240",
        "doi": "10.1016/j.cag.2025.104240",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "pages": "14",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "129",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Class-centric labeling",
            "Interactive machine learning",
            "Property measures",
            "Visual analytics",
            "Visual-interactive data labeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "class-centric visual interactive labeling workflow",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1667,
                "image_height": 624,
                "name": "matt-2025-scv-teaser.png",
                "type": "image/png",
                "size": 254694,
                "path": "Publication:matt-2025-scv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/matt-2025-scv-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/matt-2025-scv/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-2025-splatshop",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/216694",
        "title": "Splatshop: Efficiently Editing Large Gaussian Splat Models",
        "date": "2025-06",
        "abstract": "We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, . . . ) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real-time performance. Our experiments confirm that Splatshop achieves these goals for scenes with up to 100 million primitives. We also show how our proposed pipeline can be extended for use with head-mounted displays. As such, Splatshop is the first VR-capable editor for large-scale 3D Gaussian Splatting models and a step towards a ''Photoshop for Gaussian Splatting.''",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "cover",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1276,
            "image_height": 691,
            "name": "schuetz-2025-splatshop-cover.jpg",
            "type": "image/jpeg",
            "size": 327472,
            "path": "Publication:schuetz-2025-splatshop",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,articleno",
        "repositum_presentation_id": null,
        "authors": [
            1116,
            5492,
            5493,
            823,
            842,
            193
        ],
        "articleno": "8",
        "doi": "10.1111/cgf.70214",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "note": "https://github.com/m-schuetz/Splatshop",
        "number": "8",
        "open_access": "yes",
        "pages": "12",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "gaussian splats",
            "point clouds",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "cover",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1276,
                "image_height": 691,
                "name": "schuetz-2025-splatshop-cover.jpg",
                "type": "image/jpeg",
                "size": 327472,
                "path": "Publication:schuetz-2025-splatshop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/schuetz-2025-splatshop-cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9275",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schuetz-2025-splatshop/",
        "__class": "Publication"
    },
    {
        "id": "steinschorn-2025-parameter",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/216467",
        "title": "Parameter Optimization for Surface Reconstruction",
        "date": "2025-06",
        "abstract": "In this thesis, we compare different parameter-optimization algorithms on the example of Screened Poisson Surface Reconstruction. To do this, we first implemented five state-of-the-art algorithms. GEIST is a graph-based algorithm that splits the parameter space into an `optimal' and a `non-optimal' set to select new configurations. Iterated F-Race places a normal distribution of selection probabilities on the best configurations of the last iteration and uses that to choose the next configurations. ParamILS uses iterative local search to select a better neighbor and find an optimum this way. PostSelection uses a shortened version of an algorithm to find promising candidates and a second, more detailed one to evaluate these. As a simple baseline we also implemented Brute-Force.\n\nFor all of these algorithms, we first conduct several tests to find a good configuration to run them with. After that, we test them on point clouds from two datasets. Each dataset contains each cloud in different qualities, so we are able to test varying input qualities as well as types. We show that each of the implemented algorithms is able to find better parameter configurations than the default Screened Poisson Surface Reconstruction configuration. In most cases, GEIST and PostSelection lead to the best results but also have the longest run times, while ParamILS and Iterated F-Race lead to good results in a far shorter time period. Brute-Force is not competitive when it comes to high-quality configurations, but still leads to an improvement over the default in most cases.\n\nTo summarize the results over different types and qualities, the default configuration yields acceptable but not ideal results for point clouds of smooth meshes with little noise and we suggest an alternative. If the surface is rougher, the importance weight of the points should ideally be set higher. If there is a lot of noise, this weight as well as the Octree depth should be reduced.\n\nWe discuss the advantages and disadvantages of each implemented algorithm and compare their results to recommend which one to use. We describe our implementations of each and quickly mention what work could be done to expand on this thesis. Finally, we give recommendations as to which configurations to use for different types of point clouds. For data with higher accuracy, depth and pointWeight should be higher than for data with lower accuracy. If the topology of the object is very complex, pointWeight is best set very high in comparison to simpler point clouds. We find that for most cases, IF-Race is the best compromise to use between speed and resulting quality of reconstruction. If time is of no concern, GEIST is an alternative that yields high-quality results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Armadillo input point cloud, reconstruction with default parameters, reconstruction with optimized parameters",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2444,
            "image_height": 927,
            "name": "steinschorn-2025-parameter-teaser.png",
            "type": "image/png",
            "size": 935638,
            "path": "Publication:steinschorn-2025-parameter",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "abstract,keywords,ac_number",
        "repositum_presentation_id": null,
        "authors": [
            1757
        ],
        "ac_number": "AC17567674",
        "date_end": "2025-06",
        "date_start": "2020-04-02",
        "diploma_examina": "2025-06-16",
        "doi": "10.34726/hss.2025.80083",
        "matrikelnr": "1227109",
        "open_access": "yes",
        "pages": "96",
        "supervisor": [
            193,
            1395
        ],
        "research_areas": [
            "InfoVis",
            "Modeling"
        ],
        "keywords": [
            "parameter optimization",
            "deep learning",
            "surface reconstruction",
            "Autotuning",
            "Point Clouds"
        ],
        "weblinks": [
            {
                "href": "https://github.com/thefloff/ppsurf_param_opt",
                "caption": "Repository",
                "description": null,
                "main_file": 1
            }
        ],
        "files": {
            "1": {
                "description": "Armadillo input point cloud, reconstruction with default parameters, reconstruction with optimized parameters",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2444,
                "image_height": 927,
                "name": "steinschorn-2025-parameter-teaser.png",
                "type": "image/png",
                "size": 935638,
                "path": "Publication:steinschorn-2025-parameter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-teaser:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis_large",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinschorn-2025-parameter-thesis_large.pdf",
                "type": "application/pdf",
                "size": 18678215,
                "path": "Publication:steinschorn-2025-parameter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis_large.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis_large:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinschorn-2025-parameter-thesis.pdf",
                "type": "application/pdf",
                "size": 2695388,
                "path": "Publication:steinschorn-2025-parameter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/steinschorn-2025-parameter-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-parameter/",
        "__class": "Publication"
    },
    {
        "id": "vuckovic-2025-pdo",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/216200",
        "title": "Participatory Design of Visual Analytics Tools for Different Target Groups",
        "date": "2025-05-19",
        "abstract": "This paper reflects on the software engineering process behind the development of data visualization and analytics technologies tailored to the needs of diverse user groups. These considerations, introduced in our earlier work, are briefly revisited here. We focused on two use cases: one tailored to the needs and preferences of practitioners (data analysts), and the other directed towards meeting the requirements of nonprofessional, volunteer-based participants engaged in participatory citizen science. In both scenarios, we employed participatory methods, actively involving the target users in conceptualization and implementation phases. We observed diverse requirements and preferences concerning data visualization choices, additional functionalities, and analytical measures. To assess the effectiveness of these tools, in the current paper, we conducted a taskbased evaluation with selected participants, asking them to perform specific tasks such as identifying faults in the data, patterns, or detecting outliers. This was supplemented with qualitative feedback gathered through interviews and surveys, providing insights into user satisfaction, perceived challenges, and suggestions for improvement. The evaluation process revealed several areas for improvement from non-practitioners, particularly in the visual clarity of visualizations and the explanations regarding their usage, while practitioners responded more positively, noting no critical issues in software design and function.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5485,
            5486,
            950
        ],
        "ac_number": "AC17562707",
        "doi": "10.24138/jcomss-2025-0009",
        "issn": "1846-6079",
        "journal": "Journal of Communications Software and Systems",
        "number": "2",
        "open_access": "yes",
        "pages": "10",
        "pages_from": "240",
        "pages_to": "249",
        "publisher": "Croatian Communications and Information Society",
        "volume": "21",
        "research_areas": [],
        "keywords": [
            "Participatory Design",
            "Visualization design and evaluation methods",
            "Visual Analytics",
            "Data Quality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vuckovic-2025-pdo-paper.pdf",
                "type": "application/pdf",
                "size": 3015120,
                "path": "Publication:vuckovic-2025-pdo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/vuckovic-2025-pdo-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/vuckovic-2025-pdo/",
        "__class": "Publication"
    },
    {
        "id": "aigner-2025-vhv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/225207",
        "title": "Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc.funds.connect)",
        "date": "2025-05-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5540,
            966,
            5541,
            1511,
            5542,
            1110,
            5370
        ],
        "booktitle": "Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen",
        "date_from": "2025-05-07",
        "date_to": "2025-05-08",
        "event": "18. Forschungsforum Der Österreichischen Fachhochschulen",
        "lecturer": [
            5543
        ],
        "location": "Wien",
        "pages": "2",
        "pages_from": "558",
        "pages_to": "559",
        "research_areas": [],
        "keywords": [
            "Artificial Intelligence",
            "Visual Analytics",
            "Computer Vision",
            "Cultural Heritage",
            "Visualization",
            "Computer Science"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d9522"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/aigner-2025-vhv/",
        "__class": "Publication"
    },
    {
        "id": "celarek-2025-d3g",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/219918",
        "title": "Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?",
        "date": "2025-05",
        "abstract": "Since its introduction, 3D Gaussian Splatting (3DGS) has become an important reference method for learning 3D representations of a captured scene, allowing real-time novel-view synthesis with high visual quality and fast training times. Neural Radiance Fields (NeRFs), which preceded 3DGS, are based on a principled ray-marching approach for volumetric rendering. In contrast, while sharing a similar image formation model with NeRF, 3DGS uses a hybrid rendering solution that builds on the strengths of volume rendering and primitive rasterization. A crucial benefit of 3DGS is its performance, achieved through a set of approximations, in many cases with respect to volumetric rendering theory. A naturally arising question is whether replacing these approximations with more principled volumetric rendering solutions can improve the quality of 3DGS. In this paper, we present an in-depth analysis of the various approximations and assumptions used by the original 3DGS solution. We demonstrate that, while more accurate volumetric rendering can help for low numbers of primitives, the power of efficient optimization and the large number of Gaussians allows 3DGS to outperform volumetric rendering despite its approximations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013,
            5372,
            5503,
            193,
            1650
        ],
        "articleno": "e70032",
        "doi": "10.1111/cgf.70032",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "2",
        "pages": "12",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Rasterization",
            "Ray tracing",
            "Volumetric models",
            "• Computing methodologies → Image-based rendering"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/celarek-2025-d3g/",
        "__class": "Publication"
    },
    {
        "id": "freude-2025-ras",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216171",
        "title": "Revisiting Analog Stereoscopic Film",
        "date": "2025-05",
        "abstract": "We present approaches for the simulation of an analog autostereoscopic (glasses-free) display and the visualization of analog color film at micro scales. These techniques were developed during an artistic research project and the creation of an accompanying art installation, which exhibits an analog stereo short film projected on a re-creation of a cyclostéréoscope, a historic device developed around 1952. We describe how computer graphics helped to understand the cyclostéréoscope, supported its physical re-creation, and enabled the visualization of the projection and material structure of analog film using physically based Monte Carlo light simulation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1000,
            "name": "freude-2025-ras-image.png",
            "type": "image/png",
            "size": 3727580,
            "path": "Publication:freude-2025-ras",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,articleno,open_access",
        "repositum_presentation_id": null,
        "authors": [
            1128,
            5481,
            5482,
            5483,
            193
        ],
        "articleno": "N/A",
        "booktitle": "EPRESSIVE+WICED 2025 : The 9th ACM/EG Expressive Symposium : Eurographics Workshop on Intelligent Cinematography and Editing",
        "date_from": "2025-05-11",
        "date_to": "2025-05-12",
        "doi": "10.2312/exw.20251061",
        "event": "The 9th ACM/EG Expressive Symposium Eurographics Workshop on Intelligent Cinematography and Editing",
        "isbn": "978-3-03868-271-4",
        "lecturer": [
            1128
        ],
        "location": "London",
        "open_access": "yes",
        "pages": "3",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Media arts",
            "Animation",
            "Rendering",
            "Visualization systems and tools",
            "Displays and imagers"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1000,
                "name": "freude-2025-ras-image.png",
                "type": "image/png",
                "size": 3727580,
                "path": "Publication:freude-2025-ras",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude-2025-ras-paper.pdf",
                "type": "application/pdf",
                "size": 52013444,
                "path": "Publication:freude-2025-ras",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/freude-2025-ras-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4729"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-ras/",
        "__class": "Publication"
    },
    {
        "id": "grammatikaki-2025-htr",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/215590",
        "title": "How to represent landmark trees in digital 3D maps? An automated workflow and user study",
        "date": "2025-05",
        "abstract": "Digital 3D maps created from digital elevation models (DEMs) cannot properly capture trees due to the 2.5D nature of the DEMs. Leveraging publicly available DEMs and orthophotos as the only input data sources, we present a fully automatic pipeline that models landmark trees. We conducted two crowdsourced user studies to evaluate visual appeal and scene recognizability using two different levels of detail of tree representations generated using our pipeline. Users found highly detailed trees much more appealing, and also easier and more trustworthy to recognize, with open-ended responses revealing key factors like realism, coherence, and tree shape influencing their preferences. However, the ability to recognize a location seems to depend more on the surrounding environment than the representation of the landmark tree in focus. We discuss the implications of these results for digital 3D outdoor maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2200,
            "image_height": 370,
            "name": "grammatikaki-2025-htr-image.jpg",
            "type": "image/jpeg",
            "size": 181956,
            "path": "Publication:grammatikaki-2025-htr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,pages_from,pages_to,volume",
        "repositum_presentation_id": null,
        "authors": [
            1937,
            1653,
            5463,
            5462,
            1110
        ],
        "doi": "10.1080/15230406.2025.2489543",
        "issn": "1545-0465",
        "journal": "Cartography and Geographic Information Science",
        "open_access": "yes",
        "pages": "18",
        "pages_from": "1",
        "pages_to": "18",
        "publisher": "TAYLOR & FRANCIS INC",
        "volume": "Number 0",
        "research_areas": [],
        "keywords": [
            "Digital 3D maps",
            "landmarks",
            "trees",
            "user study",
            "modeling",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2200,
                "image_height": 370,
                "name": "grammatikaki-2025-htr-image.jpg",
                "type": "image/jpeg",
                "size": 181956,
                "path": "Publication:grammatikaki-2025-htr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/grammatikaki-2025-htr-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grammatikaki-2025-htr/",
        "__class": "Publication"
    },
    {
        "id": "medeiros-2025-iaa",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/216052",
        "title": "Immersive Analytics as a Support Medium for Data-Driven Monitoring in Hydropower",
        "date": "2025-05",
        "abstract": "Hydropower turbines are large-scale equipment essential to sustainable energy supply chains, and engineers have few opportunities to examine their internal structure. Our Immersive Analytics (IA) application is part of a research project that combines and compares simulated water turbine flows and sensor-measured data, looking for data-driven predictions of the lifetime of the mechanical parts of hydroelectric power plants. Our prototype combines spatial and abstract data in an immersive environment in which the user can navigate through a full-scale model of a water turbine, view simulated water flows of three different energy supply conditions, and visualize and interact with sensor-collected data situated at the reference position of the sensors in the actual turbine. In this paper, we detail our design process, which resulted from consultations with domain experts and a literature review, give an overview of our prototype, and present its evaluation, resulting from semi-structured interviews with experts and qualitative thematic analysis. Our findings confirm the current literature that IA applications add value to the presentation and analysis of situated data, as they show that we advance in the design directions for IA applications for domain experts that combine abstract and spatial data, with conclusions on how to avoid skepticism from such professionals.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5484,
            378,
            950
        ],
        "doi": "10.1109/TVCG.2025.3549157",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "5",
        "pages": "11",
        "pages_from": "3536",
        "pages_to": "3546",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "31",
        "research_areas": [],
        "keywords": [
            "Immersive Analytics",
            "Data Visualization",
            "Digitalization",
            "Egocentric navigation",
            "Spatial Data",
            "User Evaluation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/medeiros-2025-iaa/",
        "__class": "Publication"
    },
    {
        "id": "musleh-2025-trustme",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/215604",
        "title": "TrustME: A Context-Aware Explainability Model to Promote User Trust in Guidance",
        "date": "2025-04-21",
        "abstract": "Guidance-enhanced approaches are used to support users in making sense of their data and overcoming challenging analytical scenarios. While recent literature underscores the value of guidance, a lack of clear explanations to motivate system interventions may still negatively impact guidance effectiveness. Hence, guidance-enhanced VA approaches require meticulous design, demanding contextual adjustments for developing appropriate explanations. Our paper discusses the concept of explainable guidance and how it impacts the user-system relationship-specifically, a user's trust in guidance within the VA process. We subsequently propose a model that supports the design of explainability strategies for guidance in VA. The model builds upon flourishing literature in explainable AI, available guidelines for developing effective guidance in VA systems, and accrued knowledge on user-system trust dynamics. Our model responds to challenges concerning guidance adoption and context-effectiveness by fostering trust through appropriately designed explanations. To demonstrate the model's value, we employ it in designing explanations within two existing VA scenarios. We also describe a design walk-through with a guidance expert to showcase how our model supports designers in clarifying the rationale behind system interventions and designing explainable guidance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 703,
            "image_height": 706,
            "name": "musleh-2025-trustme-.png",
            "type": "image/png",
            "size": 75894,
            "path": "Publication:musleh-2025-trustme",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-:thumb{{size}}.png"
        },
        "sync_repositum_override": "event,number,pages_from,pages_to,volume",
        "repositum_presentation_id": null,
        "authors": [
            1867,
            1410,
            5418
        ],
        "doi": "10.1109/TVCG.2025.3562929",
        "event": "IEEE Vis 2025",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "10",
        "open_access": "yes",
        "pages": "17",
        "pages_from": "8040",
        "pages_to": "8056",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "31",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Explainability",
            "Explainable Guidance",
            "User Trust",
            "Visual Analytics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 703,
                "image_height": 706,
                "name": "musleh-2025-trustme-.png",
                "type": "image/png",
                "size": 75894,
                "path": "Publication:musleh-2025-trustme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/musleh-2025-trustme-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2025-trustme/",
        "__class": "Publication"
    },
    {
        "id": "freude-2025-iso",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/216172",
        "title": "Inverse Simulation of Radiative Thermal Transport",
        "date": "2025-04-17",
        "abstract": "The early phase of urban planning and architectural design has a great impact on the thermal loads and characteristics of constructed buildings. It is, therefore, important to efficiently simulate thermal effects early on and rectify possible problems. In this paper, we present an inverse simulation of radiative heat transport and a differentiable photon-tracing approach. Our method utilizes GPU-accelerated ray tracing to speed up both the forward and adjoint simulation. Moreover, we incorporate matrix compression to further increase the efficiency of our thermal solver and support larger scenes. In addition to our differentiable photon-tracing approach, we introduce a novel approximate edge sampling scheme that re-uses primary samples instead of relying on explicit edge samples or auxiliary rays to resolve visibility discontinuities. Our inverse simulation system enables designers to not only predict the temperature distribution, but also automatically optimize the design to improve thermal comfort and avoid problematic configurations. We showcase our approach using several examples in which we optimize the placement of buildings or their facade geometry. Our approach can be used to optimize arbitrary geometric parameterizations and supports steady-state, as well as transient simulations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 960,
            "image_height": 540,
            "name": "freude-2025-iso-image.png",
            "type": "image/png",
            "size": 743750,
            "path": "Publication:freude-2025-iso",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date_from,date_to,event,lecturer,number,open_access,volume",
        "repositum_presentation_id": null,
        "authors": [
            1128,
            1525,
            5257,
            1063,
            193,
            1946
        ],
        "articleno": "e70048",
        "date_from": "2025",
        "date_to": "2025",
        "doi": "10.1111/cgf.70048",
        "event": "Eurographics 2025",
        "first_published": "2025",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1128
        ],
        "number": "2",
        "open_access": "yes",
        "pages": "14",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Ray tracing",
            "Physical simulation",
            "Computer-aided design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 960,
                "image_height": 540,
                "name": "freude-2025-iso-image.png",
                "type": "image/png",
                "size": 743750,
                "path": "Publication:freude-2025-iso",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude-2025-iso-paper.pdf",
                "type": "application/pdf",
                "size": 13713470,
                "path": "Publication:freude-2025-iso",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/freude-2025-iso-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314",
            "d9259"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/freude-2025-iso/",
        "__class": "Publication"
    },
    {
        "id": "brandmair-2025-rub",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rust-based WebGPU Rendering Backend for a Parametric Modeling Tool",
        "date": "2025-04",
        "abstract": "A WebGPU rendering backend has been implemented for the parametric modeling tool Math2Model in Rust. Having the rendering backend written in Rust (instead of TypeScript) allows using profiling tools, Rust libraries, and a strongly typed and safe programming language---for developing a web application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "brandmair-2025-rub-image.png",
            "type": "image/png",
            "size": 305857,
            "path": "Publication:brandmair-2025-rub",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5377
        ],
        "date_end": "2025-04-30",
        "date_start": "2024-05-01",
        "matrikelnr": "12024754",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Math2Model/blob/main/CHANGELOG.md",
                "caption": "Release Notes",
                "description": "Activity log for this student project",
                "main_file": 0
            },
            {
                "href": "https://cg-tuwien.github.io/Math2Model",
                "caption": "Math2Model: Build Objects with Math",
                "description": "Online parametric modeling tool",
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Math2Model",
                "caption": "Source Code",
                "description": "Source code on GitHub, for Rust rendering backend see /parametric-renderer-core",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandmair-2025-rub-image.png",
                "type": "image/png",
                "size": 305857,
                "path": "Publication:brandmair-2025-rub",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/brandmair-2025-rub-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/brandmair-2025-rub/",
        "__class": "Publication"
    },
    {
        "id": "wiesinger_2025-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using a drone for automated 3D Scanning",
        "date": "2025-03-28",
        "abstract": "Drones have been widely adopted over the past decades, aiding in critical tasks such as\nsearch and rescue, inspection, and mapping. Autonomous drone scanning could further\nsupport such missions, but remains a significant challenge in indoor environments. This\nthesis explores the feasibility of using a consumer drone for such autonomous indoor 3D\nscanning. Our approach combines a DJI Spark drone, a lightweight Pico Flexx depth\nsensor, and a Raspberry Pi to capture depth data, which is streamed to an external\nserver for real-time processing. The system leverages ROS 2 and InfiniTAM for SLAM\nand map reconstruction, while navigation commands are issued via a smartphone using\nDJI’s Mobile SDK.\nAlthough the system successfully completed a limited autonomous scan, various con-\nstraints—including the drone’s payload capacity, limited sensor range, and hardware\ninstabilities—posed significant challenges. Despite these limitations, a modular software\narchitecture was developed that integrates sensing, mapping, and navigation. This\nframework provides a solid foundation for future work toward fully autonomous indoor\nscanning with more capable hardware. However, generating the next best view and\nfinding a feasible path toward it remain open challenges.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5296
        ],
        "date_end": "2025-03-28",
        "date_start": "2023-07-13",
        "matrikelnr": "11938253",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "drone",
            "scanning",
            "automation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "wiesinger_2025-baa-image.png",
                "type": "image/png",
                "size": 351129,
                "path": "Publication:wiesinger_2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wiesinger_2025-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 87944075,
                "path": "Publication:wiesinger_2025-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/wiesinger_2025-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/wiesinger_2025-baa/",
        "__class": "Publication"
    },
    {
        "id": "winklmueller-2025-ims",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Inverse Material Synthesis via Sub-Shader Extraction",
        "date": "2025-03-15",
        "abstract": "I explore the possibility of generating procedural Blender shaders of self-similar semiregular\nsurfaces from an input image derived from photograph or digital render. The\nresulting Blender shader should produce a Material with a look similar to the input\nimage.\nThis would be useful because procedural materials give 3D artists flexibility and creative\ncontrol over the materials look, that image based materials cannot, while inheriting all\nthe benefits of said image based materials, like availability and ease of use.\nThis shader generation is done by a neural parameter predictor and subsequent extraction\nof a sub-shader from a given, pre-built, general shader graph (the super-shader). The\nparameters are predicted by a MLP neural network using statistical texture descriptors\nas its input. Those descriptors are extracted from a pre-trained image classification\nCNN, which uses the original photograph/render as its input. Using this pipeline a\nlarge learning dataset for the MLP can be easily artificially generated with Blender by\nrendering the super-shader with randomized parameters.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "winklmueller-2025-ims-image.png",
            "type": "image/png",
            "size": 1737834,
            "path": "Publication:winklmueller-2025-ims",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5292
        ],
        "date_end": "2025-03-01",
        "date_start": "2024-09-01",
        "matrikelnr": "01429490",
        "supervisor": [
            1303
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor-thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "winklmueller-2025-ims-bachelor-thesis.pdf",
                "type": "application/pdf",
                "size": 11718265,
                "path": "Publication:winklmueller-2025-ims",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-bachelor-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-bachelor-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "winklmueller-2025-ims-image.png",
                "type": "image/png",
                "size": 1737834,
                "path": "Publication:winklmueller-2025-ims",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/winklmueller-2025-ims-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/winklmueller-2025-ims/",
        "__class": "Publication"
    },
    {
        "id": "walchhofer_ar_flowmaps",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "AR Visualization of Migration Flows in Europe",
        "date": "2025-03",
        "abstract": "Origin-Destination (OD) flow maps are a tool for visualizing movement patterns in domains such as transportation, trade, or migration. OD flow maps visualize movement using a network of directional and weighted curves. Traditional 2D OD flow maps often suffer from visual clutter and occlusion, limiting their  ffectiveness in conveying complex spatial relationships. This thesis explores the use of Augmented Reality (AR) for OD flow map visualization of migration data to enhance interactivity, data comprehensibility, and spatial awareness. By extending OD flow maps to the third dimension of time, users can interact with the data  dynamically and view OD connections from multiple perspectives across a span of years. This thesis develops an approach to visualize and encode the time component using a Space-Time Cube (STC), which encodes the time as\nan additional spatial dimension. The research involves the implementation of a force-directed layout algorithm based on work by Jenny et al. and the development of a marker-based AR phone application prototype capable of visualizing migration data for EU countries spanning from 2008-2022. This thesis contributes to the fields of data visualization, computer graphics, and human-computer  interaction, providing insights into how immersive technologies can enhance spatio-temporal data visualization",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A 3D migration flow map of Central Europe with stacked flow lines representing individual years.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1318,
            "image_height": 977,
            "name": "walchhofer_ar_flowmaps-teaser.png",
            "type": "image/png",
            "size": 584452,
            "path": "Publication:walchhofer_ar_flowmaps",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5452
        ],
        "date_end": "2025-03",
        "date_start": "2024-09",
        "matrikelnr": "12024752",
        "supervisor": [
            1813,
            1410
        ],
        "research_areas": [
            "InfoVis",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "A 3D migration flow map of Central Europe with stacked flow lines representing individual years.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1318,
                "image_height": 977,
                "name": "walchhofer_ar_flowmaps-teaser.png",
                "type": "image/png",
                "size": 584452,
                "path": "Publication:walchhofer_ar_flowmaps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1318,
                "preview_image_height": 977,
                "name": "walchhofer_ar_flowmaps-thesis.pdf",
                "type": "application/pdf",
                "size": 26253749,
                "path": "Publication:walchhofer_ar_flowmaps",
                "preview_name": "walchhofer_ar_flowmaps-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 584452,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/walchhofer_ar_flowmaps-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walchhofer_ar_flowmaps/",
        "__class": "Publication"
    },
    {
        "id": "komon-kimmersdorfer-2025-weBIGeo",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "weBIGeo: real-time avalanche simulation and visualization using WebGPU",
        "date": "2025-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Possible avalanche traces on Schneeberg",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "komon-kimmersdorfer-2025-weBIGeo-teaser.png",
            "type": "image/png",
            "size": 6536942,
            "path": "Publication:komon-kimmersdorfer-2025-weBIGeo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1859,
            1869
        ],
        "date_end": "2025-03",
        "date_start": "2024-02",
        "matrikelnr": "11808210, 01326608",
        "supervisor": [
            1110,
            1013
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://webigeo.alpinemaps.org/",
                "caption": "weBIGeo",
                "description": "weBIGeo avalanche simulation demo",
                "main_file": 1
            },
            {
                "href": "https://www.netidee.at/webigeo",
                "caption": "project page",
                "description": "NetIdee project page, including end report and blog posts",
                "main_file": 1
            },
            {
                "href": "https://github.com/weBIGeo/webigeo/tree/release/netidee6745",
                "caption": "GitHub",
                "description": "Code and documentation",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Possible avalanche traces on Schneeberg",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "komon-kimmersdorfer-2025-weBIGeo-teaser.png",
                "type": "image/png",
                "size": 6536942,
                "path": "Publication:komon-kimmersdorfer-2025-weBIGeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/komon-kimmersdorfer-2025-weBIGeo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9555"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/komon-kimmersdorfer-2025-weBIGeo/",
        "__class": "Publication"
    },
    {
        "id": "bramberger-3pv",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Physicalization of Migration Flows in Europe",
        "date": "2025-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 2367,
            "preview_image_height": 1870,
            "name": "bramberger-3pv-.pdf",
            "type": "application/pdf",
            "size": 58525187,
            "path": "Publication:bramberger-3pv",
            "preview_name": "bramberger-3pv-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 1647504,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5449
        ],
        "date_end": "2025-03",
        "date_start": "2024-09",
        "matrikelnr": "11913098",
        "supervisor": [
            1813,
            1410
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 2367,
                "preview_image_height": 1870,
                "name": "bramberger-3pv-.pdf",
                "type": "application/pdf",
                "size": 58525187,
                "path": "Publication:bramberger-3pv",
                "preview_name": "bramberger-3pv-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 1647504,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/bramberger-3pv-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/bramberger-3pv/",
        "__class": "Publication"
    },
    {
        "id": "fuchs_peter-2024-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient User Guidance to Next-Best-View Scan Positions",
        "date": "2025-02-28",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 149,
            "image_height": 100,
            "name": "fuchs_peter-2024-baa-image.png",
            "type": "image/png",
            "size": 26907,
            "path": "Publication:fuchs_peter-2024-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5381
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2025-02-28",
        "date_start": "2024-09-01",
        "matrikelnr": "12125442",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "next-best-view",
            "user guidance",
            "scanning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 149,
                "image_height": 100,
                "name": "fuchs_peter-2024-baa-image.png",
                "type": "image/png",
                "size": 26907,
                "path": "Publication:fuchs_peter-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs_peter-2024-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 10633086,
                "path": "Publication:fuchs_peter-2024-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/fuchs_peter-2024-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/fuchs_peter-2024-baa/",
        "__class": "Publication"
    },
    {
        "id": "steinheber-2024-oto",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Observation and Tracking of Plant Health using Computer Vision",
        "date": "2025-02-19",
        "abstract": "- select neural network for classification of diseases, dryness of soil etc. with multispectral analysis, with open source, input should be image of plant bed (with several diverse plants), pipeline with segmentation (in same paper, or find segmentation paper)\n- optional: classify and segment plants\n- optional: growth analysis: blueten, wie schnell waechst die pflanze\n- search for data sets for training for generic plants (as many plants as possible), possibly combine several\n- evaluation with cheap IP RGB camera, and multispectral camera, e.g., RGB+IR or more\n- optional: evaluate soil dryness from images with dryness sensor\n \nresearch question: how well does such a system work with a commodity setup - for indoor and outdoor\nablation studies for indoor (more controlled environment) and outdoor, as well as RGB or RGB+IR++",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 332,
            "image_height": 332,
            "name": "steinheber-2024-oto-image.png",
            "type": "image/png",
            "size": 212356,
            "path": "Publication:steinheber-2024-oto",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5354
        ],
        "date_end": "2025-02-19",
        "date_start": "2024-04-19",
        "matrikelnr": "12022506",
        "note": "1",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "plants",
            "health monitoring",
            "computer vision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 332,
                "image_height": 332,
                "name": "steinheber-2024-oto-image.png",
                "type": "image/png",
                "size": 212356,
                "path": "Publication:steinheber-2024-oto",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/steinheber-2024-oto-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinheber-2024-oto/",
        "__class": "Publication"
    },
    {
        "id": "elagabani-2025-ieh",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementierung eines Hybrid Renderers in Rust unter Verwendung einer Forward+ Pipeline",
        "date": "2025-02-03",
        "abstract": "In this thesis, we explore the topic of hybrid rendering, which combines rasterization and\nray tracing to produce high-fidelity images. While rasterization has been the primary\nrendering technique for real-time applications for decades, it struggles with producing\naccurate lighting effects because of its nature of processing each primitive in isolation.\nRay tracing has gained in popularity in recent years due to its ability to produce\naccurate lighting effects, which is one of the primary contributors to perceived visual\nfidelity. Achieving real-time performance with an entirely ray tracing-based renderer is\nchallenging because of the high number of rays required to produce images. This has\nmotivated the development of renderers that use rasterization as the primary rendering\ntechnique and ray tracing for producing lighting effects.\nThe goal of this thesis is to showcase the usage of a forward+ pipeline to build a hybrid\nrenderer utilizing the hardware acceleration of the graphics card for ray tracing tasks.\nTo this end, we build a rendering engine that implements ray-traced hard shadows and\nexplore methods that reduce the number of shadow rays. Shadow ray culling based on\nthe angle of the surface normal with the ray direction and tile-based light culling are the\ntwo methods implemented in this work. The results have shown a performance uplift of\n39% with the improvements presented in this thesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1103,
            "image_height": 1072,
            "name": "elagabani-2025-ieh-image.PNG",
            "type": "image/png",
            "size": 446531,
            "path": "Publication:elagabani-2025-ieh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5440
        ],
        "date_end": "2025-02",
        "date_start": "2024-02",
        "matrikelnr": "12022518",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor-thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "elagabani-2025-ieh-bachelor-thesis.pdf",
                "type": "application/pdf",
                "size": 8354283,
                "path": "Publication:elagabani-2025-ieh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-bachelor-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-bachelor-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1103,
                "image_height": 1072,
                "name": "elagabani-2025-ieh-image.PNG",
                "type": "image/png",
                "size": 446531,
                "path": "Publication:elagabani-2025-ieh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/elagabani-2025-ieh-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "abteilung"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/elagabani-2025-ieh/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-ait",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/208050",
        "title": "An introduction to and survey of biological network visualization",
        "date": "2025-02",
        "abstract": "Biological networks describe complex relationships in biological systems, which represent biological entities as vertices and their underlying connectivity as edges. Ideally, for a complete analysis of such systems, domain experts need to visually integrate multiple sources of heterogeneous data, and visually, as well as numerically, probe said data in order to explore or validate (mechanistic) hypotheses. Such visual analyses require the coming together of biological domain experts, bioinformaticians, as well as network scientists to create useful visualization tools. Owing to the underlying graph data becoming ever larger and more complex, the visual representation of such biological networks has become challenging in its own right. This introduction and survey aims to describe the current state of biological network visualization in order to identify scientific gaps for visualization experts, network scientists, bioinformaticians, and domain experts, such as biologists, or biochemists, alike. Specifically, we revisit the classic visualization pipeline, upon which we base this paper’s taxonomy and structure, which in turn forms the basis of our literature classification. This pipeline describes the process of visualizing data, starting with the raw data itself, through the construction of data tables, to the actual creation of visual structures and views, as a function of task-driven user interaction. Literature was systematically surveyed using API-driven querying where possible, and the collected papers were manually read and categorized based on the identified sub-components of this visualization pipeline’s individual steps. From this survey, we highlight a number of exemplary visualization tools from multiple biological sub-domains in order to explore how they adapt these discussed techniques and why. Additionally, this taxonomic classification of the collected set of papers allows us to identify existing gaps in biological network visualization practices. We finally conclude this report with a list of open challenges and potential research directions. Examples of such gaps include (i) the overabundance of visualization tools using schematic or straight-line node-link diagrams, despite the availability of powerful alternatives, or (ii) the lack of visualization tools that also integrate more advanced network analysis techniques beyond basic graph descriptive statistics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1850,
            5426,
            1249,
            1579,
            5427,
            5428,
            5251,
            1464
        ],
        "articleno": "104115",
        "doi": "10.1016/j.cag.2024.104115",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "pages": "31",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "126",
        "research_areas": [
            "BioVis",
            "NetVis"
        ],
        "keywords": [
            "Network visualization",
            "Visualization pipeline",
            "Sensemaking loop",
            "Visual analytics",
            "Network analysis",
            "Biological networks",
            "State-of-the-art-report"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-ait/",
        "__class": "Publication"
    },
    {
        "id": "marin-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/215385",
        "title": "Proximity-Based Point Cloud Reconstruction",
        "date": "2025-02",
        "abstract": "Extrapolating information from incomplete data is a key human skill, enabling us to inferpatterns and make predictions from limited observations. A prime example is our ability to perceive coherent shapes from seemingly random point sets, a key aspect of cognition.However, data reconstruction becomes challenging when no predefined rules exist, as it is unclear how to connect the data or infer patterns. In computer graphics, a major goal isto replicate this human ability by developing algorithms that can accurately reconstruct original structures or extract meaningful information from raw, disconnected data.The contributions of this thesis deal with point cloud reconstruction, leveraging proximity-based methods, with a particular focus on a specific proximity-encoding data structure -the spheres-of-influence graph (SIG). We discuss curve reconstruction, where we automate the game of connecting the dots to create contours, providing theoretical guarantees for our method. We obtain the best results compared to similar methods for manifold curves. We extend our curve reconstruction to manifolds, overcoming the challenges of moving to different domains, and extending our theoreticalguarantees. We are able to reconstruct curves from sparser inputs compared to the state-of-the-art, and we explorevarious settings in which these curves can live. We investigate the properties of the SIGas a parameter-free proximity encoding structure of three-dimensional point clouds. We introduce new spatial bounds for the SIG neighbors as a theoretical contribution. We analyze how close the encoding is to the ground truth surface compared to the commonly used kNN graphs, and we evaluate our performance in the context of normal estimationas an application. Lastly, we introduce SING – a stability-incorporated neighborhood graph, a useful tool with various applications, such as clustering, and with a strong theoretical background in topological data analysis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2012,
            "image_height": 1035,
            "name": "marin-thesis-Teaser.png",
            "type": "image/png",
            "size": 599974,
            "path": "Publication:marin-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "access,date",
        "repositum_presentation_id": null,
        "authors": [
            1848
        ],
        "ac_number": "AC17518474",
        "co_supervisor": [
            948
        ],
        "date_end": "2025-02",
        "date_start": "2021-09",
        "doi": "10.34726/hss.2025.128668",
        "duration": "3 years",
        "open_access": "yes",
        "pages": "141",
        "reviewer_1": [
            1510
        ],
        "reviewer_2": [
            1243
        ],
        "rigorosum": "2025-02-13",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "point clouds",
            "reconstruction",
            "proximity graphs",
            "curve reconstruction",
            "clustering",
            "geometry processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Curve Examples",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2080,
                "image_height": 653,
                "name": "marin-thesis-Curve Examples.png",
                "type": "image/png",
                "size": 170210,
                "path": "Publication:marin-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Curve Examples.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Curve Examples:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Possible Reconstructions",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2078,
                "image_height": 678,
                "name": "marin-thesis-Possible Reconstructions.png",
                "type": "image/png",
                "size": 118537,
                "path": "Publication:marin-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Possible Reconstructions.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Possible Reconstructions:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2012,
                "image_height": 1035,
                "name": "marin-thesis-Teaser.png",
                "type": "image/png",
                "size": 599974,
                "path": "Publication:marin-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-Teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 39191621,
                "path": "Publication:marin-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/marin-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/marin-thesis/",
        "__class": "Publication"
    },
    {
        "id": "musleh-2024-conan",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/205807",
        "title": "ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty",
        "date": "2025-02",
        "abstract": "User confidence plays an important role in guided visual data analysis scenarios, especially when uncertainty is involved in the analytical process. However, measuring confidence in practical scenarios remains an open challenge, as previous work relies primarily on self-reporting methods. In this work, we propose a quantitative approach to measure user confidence—as opposed to trust—in an analytical scenario. We do so by exploiting the respective user interaction provenance graph and examining the impact of guidance using a set of network metrics. We assess the usefulness of our proposed metrics through a user study that correlates results obtained from self-reported confidence assessments and our metrics—both with and without guidance. The results suggest that our metrics improve the evaluation of user confidence compared to available approaches. In particular, we found a correlation between self-reported confidence and some of the proposed provenance network metrics. The quantitative results, though, do not show a statistically significant impact of the guidance on user confidence. An additional descriptive analysis suggests that guidance could impact users' confidence and that the qualitative analysis of the provenance network topology can provide a comprehensive view of changes in user confidence. Our results indicate that our proposed metrics and the provenance network graph representation support the evaluation of user confidence and, subsequently, the effective development of guidance in VA.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 8170,
            "image_height": 5961,
            "name": "musleh-2024-conan-.png",
            "type": "image/png",
            "size": 9874701,
            "path": "Publication:musleh-2024-conan",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,articleno,event,number,volume",
        "repositum_presentation_id": null,
        "authors": [
            1867,
            5418,
            1850,
            1410
        ],
        "articleno": "e15272",
        "doi": "10.1111/cgf.15272",
        "event": "EuroVis 2025",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "1",
        "open_access": "yes",
        "pages": "18",
        "publisher": "WILEY",
        "volume": "44",
        "research_areas": [],
        "keywords": [
            "decision making",
            "uncertainty",
            "user confidence",
            "visual analytics",
            "guided visual data analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 8170,
                "image_height": 5961,
                "name": "musleh-2024-conan-.png",
                "type": "image/png",
                "size": 9874701,
                "path": "Publication:musleh-2024-conan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/musleh-2024-conan-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/musleh-2024-conan/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger-2025-tsd",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/213240",
        "title": "The Sampling-Reconstruction Dual",
        "date": "2025-02",
        "abstract": "Reconstructing surfaces of the real world from scans is an important and challenging problem. Its feasibility is limited by the number of the acquired points and their geometric configuration. The question of how many points exactly are required for the faithful reconstruction of the features leads to its inverse problem, sampling a known surface with the least possible number of points.\r\n \r\nThis talk is about reconstruction algorithms and attempts to prove their theoretical bounds in the number of points required and its dual, sampling curves (as their simpler 2D equivalent) and surfaces with specified bounds from different representations such as meshes, smooth higher-order boundaries, subdivision limit surfaces, and signed distance functions, depending on the application, e.g., lossless reduction of scanned data size, measuring scan error, handling scan artifacts such as noise, outliers, and holes, or secondary goals such as accelerating simulations.\r\n \r\nThe underlying assumption is that the smooth surface (reconstructed, or sampled) is richer than the sparse discrete set of geometric primitives (points + connectivity) it is represented with, leading to the goal of representing object boundaries, e.g., from the physical world, with the least amount of geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948
        ],
        "date_from": "2025-01-13",
        "date_to": "2025-02-14",
        "event": "Infinite-dimensional Geometry: Theory and Applications",
        "lecturer": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "surface reconstruction",
            "sampling"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ohrhallinger-2025-tsd/",
        "__class": "Publication"
    },
    {
        "id": "peischl-2025-ipo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/213937",
        "title": "Investigating the Propagation of CT Acquisition Artifacts along the Medical Imaging Pipeline",
        "date": "2025-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5454,
            1410
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 1)",
        "date_from": "2025-02-26",
        "date_to": "2025-03-28",
        "doi": "10.5220/0013254200003912",
        "event": "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            5454
        ],
        "location": "Porto",
        "pages": "13",
        "pages_from": "752",
        "pages_to": "764",
        "research_areas": [],
        "keywords": [
            "Biomedical Visualization and Applications",
            "Uncertainty Visualization",
            "Visual Analytics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/peischl-2025-ipo/",
        "__class": "Publication"
    },
    {
        "id": "holzer-edo",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Dashboard Onboarding via LLMs",
        "date": "2025-01-03",
        "abstract": "Data visualization offers powerful insights that drive better decision-making, but its\ninherent complexity can often be challenging. To understand these visualizations, an\neffective onboarding process is essential, providing clear guidance on the purpose and\nfunctionality of visualizations for users of all experience levels. Traditional onboarding\napproaches, such as static tutorials, frequently fall short in addressing the unique needs\nof diverse users, leading to confusion and inefficiency. This thesis presents an innovative\nonboarding solution powered by Large Language Models (LLMs), designed to provide\npersonalized, context-aware assistance that adapts dynamically to each user.\nOur approach harnesses the capabilities of prompt engineering, adaptive sequencing, and\nconversational interactions to create a dynamic, engaging onboarding experience. Key\nfeatures include custom prompts to clarify complex visual elements, adaptive sequencing\nthat responds to user behavior, and tailored narratives that adjust to users’ expertise\nlevels. We implemented these features into a prototype system, powered by Llama 3.1\nand ChatGPT 4o, to provide real-time, responsive assistance.\nBy transforming dashboards into more approachable tools, this work makes data visualization\naccessible to a wider audience, ultimately enhancing the way users interact with\nand extract insights from complex data.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1459,
            "image_height": 853,
            "name": "holzer-edo-image.PNG",
            "type": "image/png",
            "size": 251472,
            "path": "Publication:holzer-edo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5432
        ],
        "date_end": "2025-01",
        "date_start": "2024-02",
        "matrikelnr": "12028208",
        "supervisor": [
            1892
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1459,
                "image_height": 853,
                "name": "holzer-edo-image.PNG",
                "type": "image/png",
                "size": 251472,
                "path": "Publication:holzer-edo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis-bachelor",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "holzer-edo-thesis-bachelor.pdf",
                "type": "application/pdf",
                "size": 3829629,
                "path": "Publication:holzer-edo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-thesis-bachelor.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/holzer-edo-thesis-bachelor:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/holzer-edo/",
        "__class": "Publication"
    },
    {
        "id": "steinschorn-2025-par",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "SPSR Parameter determined by Neural Network",
        "date": "2025-01",
        "abstract": "In ’Parameter Optimization for Surface Reconstruction’ we tested different parameter optimization methods to find the most accurate and fast way to find optimal parameters for longer-running tasks that cannot be exhaustively tested. One strategy that we did not test is using machine learning to solve this problem. If it is possible to train a neural network to determine close-to-optimal parameters for a given task, then that would certainly be faster than all the other tested solutions. For this report, we generated training data for the problem of reconstructing meshes from point clouds using Screened Poisson Surface Reconstruction. We used ParamILS for this, and then tested two different networks to see if this is achievable. We describe our strategy for this, present our results, and discuss the encountered problems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1757
        ],
        "date_end": "2025-01",
        "date_start": "2023-10",
        "matrikelnr": "1227109",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "Deep Learning",
            "Surface Reconstruction",
            "Parameter Optimization",
            "Screened Poisson Surface Reconstruction"
        ],
        "weblinks": [
            {
                "href": "https://github.com/thefloff/ppsurf_param_opt",
                "caption": "Repo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinschorn-2025-par-report.pdf",
                "type": "application/pdf",
                "size": 461075,
                "path": "Publication:steinschorn-2025-par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/steinschorn-2025-par-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/steinschorn-2025-par-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/steinschorn-2025-par/",
        "__class": "Publication"
    },
    {
        "id": "walch-2025-bemtrace",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/210140",
        "title": "BEMTrace: Visualization-driven approach for deriving Building Energy Models from BIM",
        "date": "2025-01",
        "abstract": "Building Information Modeling (BIM) describes a central data pool covering the entire life cycle of a construction project. Similarly, Building Energy Modeling (BEM) describes the process of using a 3D representation of a building as a basis for thermal simulations to assess the building's energy performance. This paper explores the intersection of BIM and BEM, focusing on the challenges and methodologies in converting BIM data into BEM representations for energy performance analysis. BEMTrace integrates 3D data wrangling techniques with visualization methodologies to enhance the accuracy and traceability of the BIM-to-BEM conversion process. Through parsing, error detection, and algorithmic correction of BIM data, our methods generate valid BEM models suitable for energy simulation. Visualization techniques provide transparent insights into the conversion process, aiding error identifcation, validation, and user comprehension. We introduce context-adaptive selections to facilitate user interaction and to show that the BEMTrace workfow helps users understand complex 3D data wrangling processes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1494,
            1002,
            1387,
            1277,
            166,
            950
        ],
        "doi": "10.1109/TVCG.2024.3456315",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "1",
        "pages": "11",
        "pages_from": "240",
        "pages_to": "250",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "31",
        "research_areas": [],
        "keywords": [
            "Solid modeling",
            "Data visualization",
            "Three-dimensional displays",
            "Data models",
            "Buildings",
            "Computational modeling",
            "Object oriented modeling",
            "BIM",
            "BEM",
            "BIM-to-BEM",
            "3D Data Wrangling",
            "3D selections",
            "Visualization for trust building"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/walch-2025-bemtrace/",
        "__class": "Publication"
    },
    {
        "id": "dhanoa-2025-dsg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/209410",
        "title": "D-Tour: semi-automatic generation of interactive guided tours for visualization dashboard onboarding",
        "date": "2025-01",
        "abstract": "Onboarding a user to a visualization dashboard entails explaining its various components, including the chart types used, the data loaded, and the interactions available. Authoring such an onboarding experience is time-consuming and requires significant knowledge and little guidance on how best to complete this task. Depending on their levels of expertise, end users being onboarded to a new dashboard can be either confused and overwhelmed or disinterested and disengaged. We propose interactive dashboard tours (D-Tours) as semi-automated onboarding experiences that preserve the agency of users with various levels of expertise to keep them interested and engaged. Our interactive tours concept draws from open-world game design to give the user freedom in choosing their path through onboarding. We have implemented the concept in a tool called D-TOUR PROTOTYPE, which allows authors to craft custom interactive dashboard tours from scratch or using automatic templates. Automatically generated tours can still be customized to use different media (e.g., video, audio, and highlighting) or new narratives to produce an onboarding experience tailored to an individual user. We demonstrate the usefulness of interactive dashboard tours through use cases and expert interviews. Our evaluation shows that authors found the automation in the D-Tour Prototype helpful and time-saving, and users found the created tours engaging and intuitive. This paper and all supplemental materials are available at https://osf.io/6fbjp/.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1892,
            1895,
            5433,
            5434,
            166,
            1896
        ],
        "doi": "10.1109/TVCG.2024.3456347",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "1",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "721",
        "pages_to": "731",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "31",
        "research_areas": [],
        "keywords": [
            "Dashboards",
            "interactive tours",
            "onboarding",
            "open-world games",
            "storytelling",
            "tutorial"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dhanoa-2025-dsg-paper.pdf",
                "type": "application/pdf",
                "size": 685599,
                "path": "Publication:dhanoa-2025-dsg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/dhanoa-2025-dsg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/dhanoa-2025-dsg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/dhanoa-2025-dsg/",
        "__class": "Publication"
    },
    {
        "id": "amabili-2025-lpb",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216591",
        "title": "Leveraging Popular Board Games to Teach Data Visualization",
        "date": "2025",
        "abstract": "To address the challenges in visualization education—particularly in motivating and engaging students—we propose the conceptual adaptation of popular board games into educational data visualization games. We present five unique adaptations ofwell-known board games, integrating their mechanics and materials into a data visualization learning process. For each game, we  outline specific learning objectives and suggest strategies to extend the game-based approach to broader data visualization education. By combining familiar, engaging game mechanics with visualization content, we aim to foster critical engagement with the learning material while providing students with a foundational understanding of data visualization concepts. Early qualitative results from one of the games indicate a positive impact on players’ learning, boosting engagement and enjoyment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1861,
            166,
            1410
        ],
        "booktitle": "Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities",
        "date_from": "2025-06-02",
        "date_to": "2025-06-06",
        "doi": "10.2312/visgames.20251165",
        "editor": "Stoiber, C. and Boucher, M. and de Jesus Oliveira, V. A. and Schetinger, V. and Filipov, V. and Raidou, R. G. and Amabili, L. and Keck, M.",
        "event": "VisGames 2025 colocated with EuroVis 2025 - 27th EG Conference on Visualization",
        "lecturer": [
            1861
        ],
        "location": "Luxembourg City",
        "open_access": "yes",
        "pages": "6",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Human-centered computing",
            "visualization theory",
            "concepts and paradigms",
            "Information visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amabili-2025-lpb-paper.pdf",
                "type": "application/pdf",
                "size": 525621,
                "path": "Publication:amabili-2025-lpb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/amabili-2025-lpb-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/amabili-2025-lpb-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/amabili-2025-lpb/",
        "__class": "Publication"
    },
    {
        "id": "beinder-2025-vao",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/213421",
        "title": "Visualization and analysis of 3D-connectivity at cell resolution",
        "date": "2025",
        "abstract": "With the advancement of imaging technologies, the mapping of the human body at continually increasing resolution becomes possible. Multiple research programs have achieved the imaging of various functional tissue units at cell resolution and even the imaging of single-cells in a combined effort to map out the human body and its disease states. Novel contributions to these programs open up a multitude of avenues to explore the functional complexity and disease progression of organs in even more detail. A vital part of this exploration is the analysis of connectivity between the functional tissue units or single-cells, as they are believed to communicate through diverse channels. This thesis presents two independent tools that empower researchers to improve their connectivity analysis workflows. Firstly, an installable Python tool that generates surface meshes and a connectivity abstraction in the form of a network from segmented volumetric data. In the course of this, a method for suggesting the connectivity of incomplete tubular meshes is proposed. Secondly, an interactive web-based visualization tool that improves connectivity analysis by synchronizing a three-dimensional spatial view with two network views that incorporate the connectivity abstraction. The applicability of both tools is tested and showcased with data from three distinct fields by analyzing the connectivity between glomeruli and nerves in the kidney, the connectivity of intraepitheliel lesions in pancreatic ducts with the surrounding nervous system, and the connectivity between single-cells of a melanoma.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5573
        ],
        "ac_number": "AC17473350",
        "doi": "10.34726/hss.2025.124059",
        "open_access": "yes",
        "pages": "123",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Visualization",
            "3D Reconstruction",
            "Connectivity",
            "Cellular Neighborhoods",
            "Functional Tissue Units",
            "Glomeruli",
            "Nerves",
            "PanIN",
            "Melanoma"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "beinder-2025-vao-thesis.pdf",
                "type": "application/pdf",
                "size": 6160074,
                "path": "Publication:beinder-2025-vao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/beinder-2025-vao-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/beinder-2025-vao-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/beinder-2025-vao/",
        "__class": "Publication"
    },
    {
        "id": "ecormier-nocca-2025-sls",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/213965",
        "title": "Single-Exemplar Lighting Style Transfer via Emissive Texture Synthesis and Optimization",
        "date": "2025",
        "abstract": "Lighting is a key component in how scenes are perceived. However, many interior lighting situations are currently either handcrafted by expert designers, or simply consist of basic regular arrangements of luminaires, such as to reach uniform lighting at a predefined brightness. Our method aims to bring more interesting lighting configurations to various scenes in a semi-automatic manner designed for fast prototyping by non-expert users. Starting from a single photograph of a lighting configuration, we allow users to quickly copy and adapt a lighting style to any 3D scene. Combining image analysis, texture synthesis, and light parameter optimization, we produce a lighting design for the target 3D scene matching the input image. We validate via a user study that our results successfully transfer the desired lighting style more accurately and realistically than state-of-the-art generic style transfer methods. Furthermore, we investigate the behaviour of our method under potential altern ative choices in an ablation study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2126,
            "image_height": 763,
            "name": "ecormier-nocca-2025-sls-image.png",
            "type": "image/png",
            "size": 1223387,
            "path": "Publication:ecormier-nocca-2025-sls",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1949,
            1525,
            1954,
            1946,
            193
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP",
        "date_from": "2025-02-26",
        "date_to": "2025-03-28",
        "doi": "10.5220/0013193900003912",
        "event": "IVAPP 2025 - Part of VISIGRAPP, the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            1954
        ],
        "location": "Porto",
        "pages": "14",
        "pages_from": "113",
        "pages_to": "126",
        "publisher": "SciTePress",
        "volume": "1",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Lighting Design",
            "Lighting Style Ttransfer",
            "Texture Synthesis",
            "Lighting Optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2126,
                "image_height": 763,
                "name": "ecormier-nocca-2025-sls-image.png",
                "type": "image/png",
                "size": 1223387,
                "path": "Publication:ecormier-nocca-2025-sls",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ecormier-nocca-2025-sls-paper.pdf",
                "type": "application/pdf",
                "size": 58975673,
                "path": "Publication:ecormier-nocca-2025-sls",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/ecormier-nocca-2025-sls-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ecormier-nocca-2025-sls/",
        "__class": "Publication"
    },
    {
        "id": "Ehlers_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/222196",
        "title": "Inspired by Biology: Towards Visualizing Complex Networks",
        "date": "2025",
        "abstract": "The term “biological network” comprises a large and multifaceted set of different types of networks. These different network types bring with it unique visualization and visual analysis challenges. We first survey the literature in order to characterize and identify outstanding gaps in the visualization of biological networks. Inspired by these many challenges and difficulties faced by the field. Specifically, we focus on three challenges of particular interest to us: i) improving the visual quality of commonly employed straight-line node-link diagrams, ii) the visualization of uncertainty in networks, and iii) the visualization of group structures in compound graphs. To tackle these three challenges, we conduct five investigations.To tackle challenge 1, we first investigate the principled and algorithmic splitting of vertices to iteratively resolve edge crossings and thereby improve the readability of graphs. As an alternative solution to challenge 1, we investigate the visualization of so-called ego-networks, which allow for the visualization of only node-relative and node-relevant topology, instead of the entirety of a network. Third, within the context of challenge 2, we investigate the visualization of node attribute uncertainty using animated “wiggliness”, i.e., animated node motion. Fourth, in order to tackle challenge 3, we survey the current state of compound graph visualization and, finally, we combine the aforementioned four works together and develop a prototypical dashboard for the visualization of compound graphs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords,type_id",
        "repositum_presentation_id": null,
        "authors": [
            1850
        ],
        "ac_number": "AC17730567",
        "co_supervisor": [
            1464
        ],
        "date_end": "2024",
        "date_start": "2021",
        "doi": "10.34726/hss.2025.137816",
        "open_access": "yes",
        "pages": "287",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "Network visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ehlers_PhD-thesis.pdf",
                "type": "application/pdf",
                "size": 10158013,
                "path": "Publication:Ehlers_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/Ehlers_PhD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/Ehlers_PhD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Ehlers_PhD/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-battlegraphs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/217464",
        "title": "BattleGraphs: Forge, Fortify, and Fight in the Network Arena",
        "date": "2025",
        "abstract": "Constructive visualization enables users to create personalized data representations and facilitates early insight generation and sensemaking. Based on NODKANT, a toolkit for creating physical network diagrams using 3D printed parts, we define a competitive network physicalization game: BattleGraphs. In BattleGraphs, two players construct networks independently and\ncompete in solving network analysis benchmark tasks. We propose a workshop scenario where we deploy our game, collect strategies for interaction and analysis from our players, and measure the effectiveness of the strategy with the success of the player to discuss in a reflection phase. Printable parts of the game, as well as instructions, are available through the Open Science Framework at -- https://osf.io/x6zv7/ -- All proceedings (including this submission) available on the eurographics digital library: https://diglib.eg.org/collections/d1483cdb-603e-46b6-b315-d9a6e750427e",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5488,
            5489,
            5417
        ],
        "booktitle": "Visgames 2025: EuroVis Workshop on Visualization Play, Games, and Activities",
        "date_from": "2025-06-02",
        "date_to": "2025-06-02",
        "doi": "10.2312/visgames.20251161",
        "editor": "Stoiber, C. and Boucher, Magdalena and de Jesus Oliveira, V. A. and Schetinger, Victor and Filipov, Velitchko and Raidou, Renata Georgia and Amabili, L. and Keck, M. and Aigner, Wolfgang",
        "event": "EuroVis 2025 Workshop on Visualization Play, Games, and Activities (VisGames)",
        "lecturer": [
            1850,
            1813,
            5488,
            5489,
            5417
        ],
        "location": "Luxembourg",
        "pages": "5",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Network Visualization",
            "Data Physicalization",
            "Constructivism",
            "Visualization Games"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-battlegraphs/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2025-penta",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216534",
        "title": "Penta: Towards Visualizing Compound Graphs as Set-Typed Data",
        "date": "2025",
        "abstract": "Compound graphs are graphs whose nodes, in addition to topological connections, share group-level relationships. The need to incorporate both topological and group-level relationships makes them inherently challenging to visualize, especially for large data. We present Penta, a prototypical dashboard that, by combining elements of compound graph and set visualization, provides a complete view of both types of relationships. To this end, we employ five linked views that provide insight into a compound graph’s i) global and set local topology using both hypernode and traditional node-link diagrams, respectively, ii) set and entity-level relationship and identity using similarity matrices linked by a bipartite node-link diagram, as well as iii) node-centric topology across sets visualized as a layered node-link diagram. We demonstrate the workflow and advantages of Penta in three small-scale case studies, using character co-occurrence networks as well as biochemical pathway data. While still a prototype, the proposed dashboard shows promise in facilitating a complete visual exploration of the topology and group-level relationships present in compound graphs, simultaneously.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1850,
            5479,
            1410
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP,",
        "date_from": "2025-02-26",
        "date_to": "2025-02-28",
        "doi": "10.5220/0013242300003912",
        "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP , GRAPP, HUCAPP and IVAPP 2025)",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            5479
        ],
        "location": "Porto",
        "pages": "9",
        "pages_from": "913",
        "pages_to": "921",
        "volume": "1",
        "research_areas": [],
        "keywords": [
            "Compound Graph",
            "Ego Network",
            "Network Visualization",
            "Set Visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ehlers-2025-penta/",
        "__class": "Publication"
    },
    {
        "id": "schindler-2025-ssm",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/216205",
        "title": "Shape shifting : a multiscale optimal transport approach to 3D point cloud comparison",
        "date": "2025",
        "abstract": "Advances in measurement technologies and 3D vision have significantly enhanced the speed and precision with which real-world objects and landscapes can be captured and reconstructed. These virtual reconstructions are relevant for surveying applications and are often encoded as point clouds, i.e., a set of 3D coordinates, possibly accompanied by additional attributes like colors or normals. Often, reconstructions of objects or landscapes are acquired over time to monitor their changes. Intuitive visualization that allows one to comprehend the shifts over time in such reconstructions could be of help, but the vast size of the data imposes challenges on comparative visualization pipelines. On the other hand, it is simpler than ever to amass numerous reconstructions of real-world objects, even for novice users. Still, outside of computationally intensive algorithms tailored to applications for the medical domain, there is a gap in approaches that allow for comparing differences within ensembles of shapes. Available algorithms outside of medicine are built upon nearest neighbor queries, which do not scale well to complex shapes and lack guidance for the comparison. Extensive ensembles of spatial data need to be delivered in a structured way to avoid time-intensive manual ordering when there is no chronological ordering implied or known. We designed and implemented a framework to support the comparative visualization of ensembles of point clouds. By utilizing the mature mathematical framework of optimal transport, we circumvent shortcomings of commonly employed nearest neighbor-based approaches and allow our method to compare a whole ensemble of reconstructions in a comprehensive representation. If there is no inherent ordering, our method enables the automatic arrangement of individual point clouds, establishing their relationships and simplifying the analysis process. We derive additional metrics about the whole ensemble, which are then used to enrich the visualization and help to detect patterns of variation within the data. By leveraging fast GPU-based implementations, we enable a smooth transition between displayed point clouds in an animation and offer visual aids that highlight the characteristics of each shape and how these change. Our method processes the data fast and provides comprehensive means to browse through a large ensemble of point clouds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1760
        ],
        "ac_number": "AC17561836",
        "doi": "10.34726/hss.2025.123620",
        "open_access": "yes",
        "pages": "129",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Comparative Visualization",
            "Point Clouds",
            "Optimal Transport",
            "Visual Shape Analytics",
            "Ensemble Visualization",
            "Shape Space",
            "Animation",
            "Rendering",
            "Earth Mover's Distance"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schindler-2025-ssm-thesis.pdf",
                "type": "application/pdf",
                "size": 5753321,
                "path": "Publication:schindler-2025-ssm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/schindler-2025-ssm-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/schindler-2025-ssm-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/schindler-2025-ssm/",
        "__class": "Publication"
    },
    {
        "id": "stoff-2025-pvu",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/209541",
        "title": "Prototypical Visualization: Using Prototypical Networks for Visualizing Large Unstructured Data",
        "date": "2025",
        "abstract": "Making sense of data is something that many professionals are required to do on a daily basis. This can be a difficult task if the amount of data is so large that it can not be easily examined. One effective method of quickly getting an overview of data structure is visualization, but this is not always a feasible solution with large data due to the sheer amount of data and also the potentially high dimensionality. Machine learning models can help with with the organization and classification of data, but they often require large quantities of labeled training data, which is frequently not readily available. This is why models that can reliably classify data based on only few examples for each class are an interesting topic of research. One such kind of model are prototypical networks. They utilize few samples to create an embedding space in fewer dimensions, in which similar data points cluster around a single class prototype. In this thesis, we investigate if the embedding space of a prototypical network makes for a good approach for the purpose of visualizing high-dimensional, unstructured data. The goal is to reduce the dimensionality of the data in such a way that the highdimensional relations and structures between data points are preserved, resulting in 2D representations of the data that form coherent class clusters in a scatter plot visualization. This approach is compared with, and evaluated against, other well known supervised and unsupervised dimensionality reduction techniques. Through quantitative experiments relying on statistical measures, as well as a qualitative evaluation of our results, we find that our ProtoNet is capable of producing point embeddings in which the spatial separation of classes is as good or better than the other methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1865
        ],
        "ac_number": "AC17416388",
        "doi": "10.34726/hss.2025.119321",
        "open_access": "yes",
        "pages": "62",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Dimensionality Reduction",
            "Data Visualization",
            "Prototypical Network",
            "ProtoNet",
            "Class Separation",
            "Scatter Plot"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stoff-2025-pvu-thesis.pdf",
                "type": "application/pdf",
                "size": 1529952,
                "path": "Publication:stoff-2025-pvu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/stoff-2025-pvu-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/stoff-2025-pvu/",
        "__class": "Publication"
    },
    {
        "id": "grexova-2025-dva",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/220303",
        "title": "Designing a visual analysis pipeline for exploring TMS effects on heart rate",
        "date": "2025",
        "abstract": "We designed a highly flexible notebook-based visual analysis pipeline to explore Transcranial Magnetic Stimulation (TMS) and heart rate (HR) in different subjects’ cognitive states. TMS is a promising treatment of major depressive disorder not responsive to pharmacological treatment. However, the mechanism of action is not yet fully understood. The research in the best acquiring settings, such as stimulation intensities and target sites, is emerging. Multimodal analysis pipeline integrating TMS, Functional Magnetic Resonance Imaging (fMRI), and HR could shed light on both understanding the neural pathways and increasing the efficiency of TMS. To extend the already available concurrent TMS-fMRI analysis pipeline towards multimodal concurrent TMS-fMRI-HR, exploring the effect of TMS on HR is the next step. To design the visual analysis pipeline, we introduce and apply an extension of Data–Users–Tasks design triangle [Miksch and Aigner, 2014] by integrating the previous data workflow approach in the designing process. When the data processing workflow in the domain is only evolving, integrating the previous workflow approach into the design process benefits by respecting the data legacy, supports users’ adaptability, and ensures tasks’ compatibility. We refer to this framework as the Data–Users–Workflow-Tasks design pyramid. We subsequently provide a visual analysis pipeline to support data exploration in the early stages of research. The interactive preprocessing pipeline involves extracting data, handling missing data, and reducing noise. To compare time series of HR with different properties, we visualize Dynamic Time Warping (DTW) similarity measurement, and heart rate variability (HRV) metric clustering. We quantitatively evaluate the preprocessing steps using simulated ECG data. The key result is that linear and polynomial interpolation with root mean squared error (RMSE) values as low as to the power of -3 and -5, respectively, are especially effective as imputation methods for ECG with 400 Hz sampling frequency. To further assess the values of the usage scenarios for TMS and ECG data exploration, we employ Qualitative Result Inspection (QRI). Our proposed visual analysis pipeline assembles the first steps towards integrating TMS-HR analysis into a trimodal concurrent TMS-fMRI-HR approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5575
        ],
        "ac_number": "AC17679434",
        "doi": "10.34726/hss.2025.126782",
        "open_access": "yes",
        "pages": "87",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Visual Analysis Pipeline",
            "NCG-TMS",
            "Data-Users-Tasks Design Triangle",
            "Data-Users-Workflow-Tasks Design Pyramid"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grexova-2025-dva-thesis.pdf",
                "type": "application/pdf",
                "size": 4489654,
                "path": "Publication:grexova-2025-dva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/grexova-2025-dva-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/grexova-2025-dva-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/grexova-2025-dva/",
        "__class": "Publication"
    },
    {
        "id": "haeusle-2025-uup",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/220329",
        "title": "Unraveling uncertainty propagation in the medical visualization pipeline",
        "date": "2025",
        "abstract": "Quantifying, raising awareness, and visualizing uncertainty stand as challenges in data visualization, especially in critical application domains such as medicine. Medical diagnosis and following treatment are always based on human decision-making, which itself is prone to uncertainty due to subjectivity or perception. Furthermore, decisions are often taken by analyzing measurements or images, which themselves are affected by uncertainty, caused by effects such as noise or resolution limitations. Thus, the whole process of diagnosis in clinical environments is concerned with interwoven uncertainties that accumulate and may change a pipeline's result substantially, potentially with detrimental effects on the patient's health, if uncertainties are not considered. This work aims to contribute to unraveling the complex interplay of uncertainties within the medical visualization pipeline. We do so by investigating the complex phenomena of uncertainty propagation in the medical visualization pipeline, in combination with extracting and analyzing provenance information from the pipeline encapsulated in an interactive framework. As a consequence, we utilize the provenance information, which can be seen as a complete history of the pipeline, to compare uncertainty propagation results of distinct pipeline states and thus gain insights into the behavior of uncertainty. In order to demonstrate the conceptual effectiveness of the framework, meaningful usage scenarios are presented. Those lay out simple and more complex scenarios to analyze the behavior and impact of different sorts of parameters present in the pipeline. Furthermore, we present ways in which a user can express their uncertainty for certain image regions or parameters and thereby gain insights into the impact of the specified uncertainties. The usage scenarios emphasize both positive and negative aspects of the framework and thus provide users with the means to assess the underlying work independently.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5574
        ],
        "ac_number": "AC17679808",
        "doi": "10.34726/hss.2025.129144",
        "open_access": "yes",
        "pages": "128",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Uncertainty Propagation",
            "Uncertainty",
            "Visualization Pipeline",
            "Medical Visualization Pipeline",
            "Provenance",
            "Parameter Sensitivity Analysis",
            "Monte Carlo Methods"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haeusle-2025-uup-thesis.pdf",
                "type": "application/pdf",
                "size": 10648509,
                "path": "Publication:haeusle-2025-uup",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/haeusle-2025-uup-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/haeusle-2025-uup-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/haeusle-2025-uup/",
        "__class": "Publication"
    },
    {
        "id": "huber-2025-esl",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/213932",
        "title": "Exploring Seated Locomotion Techniques in Virtual Reality for People with Limited Mobility",
        "date": "2025",
        "abstract": "Virtual reality (VR) is often designed as a standing experience, excluding individuals with limited mobility. Given that a significant portion of the population experiences lower-body mobility restrictions, accessible VR locomotion must accommodate users without requiring lower-body movement. To build a comprehensive understanding of suitable locomotion techniques (LTs) for this demographic, it is crucial to evaluate the feasibility of various approaches in virtual environments (VEs). As a starting point, we present our evaluation approach and a user study on the feasibility and potential of selected LTs for accessible seated locomotion in VR. Our findings indicate that common LTs can be adapted for seated stationary VR. Teleportation-based techniques, in particular, stand out as viable options for accessible locomotion. Although our simulated wheelchair was less popular with non-disabled participants, it was well-received by wheelchair users and shows promise as an intuitive LT for (More)",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Different locomotion paths",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1041,
            "image_height": 571,
            "name": "huber-2025-esl-image.png",
            "type": "image/png",
            "size": 823835,
            "path": "Publication:huber-2025-esl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5456,
            5457,
            1954,
            5458,
            5459,
            378,
            1030
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP",
        "date_from": "2025-02-26",
        "date_to": "2025-02-28",
        "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            5456
        ],
        "location": "Porto",
        "pages": "13",
        "pages_from": "161",
        "pages_to": "173",
        "publisher": "SciTePress",
        "volume": "1",
        "research_areas": [
            "Rendering",
            "VR"
        ],
        "keywords": [
            "Virtual Reality",
            "Accessibility",
            "Locomotion",
            "User Study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Different locomotion paths",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1041,
                "image_height": 571,
                "name": "huber-2025-esl-image.png",
                "type": "image/png",
                "size": 823835,
                "path": "Publication:huber-2025-esl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "huber-2025-esl-paper.pdf",
                "type": "application/pdf",
                "size": 7212099,
                "path": "Publication:huber-2025-esl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/huber-2025-esl-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/huber-2025-esl/",
        "__class": "Publication"
    },
    {
        "id": "kummer-2025-fvo-1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/216906",
        "title": "Flattening-based visualization of supine breast MRI",
        "date": "2025",
        "abstract": "We propose two novel visualization methods optimized for supine breast images that “flatten” breast tissue, facilitating examination of larger tissue areas within each coronal slice. Breast cancer is the most frequently diagnosed cancer in women, and early lesion detection is crucial for reducing mortality. Supine breast magnetic resonance imaging (MRI) enables better lesion localization for image-guided interventions; however, traditional axial visualization is suboptimal because the tissue spreads over the chest wall, resulting in numerous fragmented slices that radiologists must scroll through during standard interpretation. Using a human-centered design approach, we incorporated user and expert feedback throughout the co-design and evaluation stages of our flattening methods. Our first proposed method, a surface-cutting approach, generates offset surfaces and flattens them independently using As-Rigid-As-Possible (ARAP) surface mesh parameterization. The second method uses a landmark-based warp to flatten the entire breast volume at once. While the surface-cutting approach is based on the parameterization of individual surfaces, the second method uses control points to realize a coherent, global deformation.Expert evaluations revealed that the surface-cutting method provides intuitive overviews and clear vascular detail, with low metric (2.1-3.5%) and area (3.7-5.8%) distortions. However, independent slice flattening can introduce depth distortions across layers. The landmark warp offers consistent slice alignment and supports direct annotations and measurements, with radiologists favoring it for its anatomical accuracy. Both methods significantly reduced the number of slices needed to review, highlighting their potential for time savings and clinical impact - an essential factor for adopting supine breast MRI.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5500
        ],
        "ac_number": "AC17579320",
        "doi": "10.34726/hss.2025.122940",
        "open_access": "yes",
        "pages": "97",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Image reformation",
            "volumetric parameterization",
            "medical visualization",
            "breast MRI",
            "radiology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kummer-2025-fvo-1-thesis.pdf",
                "type": "application/pdf",
                "size": 3422153,
                "path": "Publication:kummer-2025-fvo-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/kummer-2025-fvo-1-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/kummer-2025-fvo-1-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/kummer-2025-fvo-1/",
        "__class": "Publication"
    },
    {
        "id": "Machegger2018DTI",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/215536",
        "title": "Evaluating the impact of parameter tuning on glioblastoma segmentation using deep learning",
        "date": "2025",
        "abstract": "Background: Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer, characterized by rapid growth and infiltration into surrounding brain tissue. Precise segmentation of GBM, particularly the contrast-enhancing region and necrotic (non-contrast-enhaning) core, is critical for surgical planning and treatment. Manual segmentation methods are time-consuming and subject to high interrater variability, necessitating automated approaches for greater consistency.Objective: This thesis aims to optimize key parameters in deep learning-based segmentation of glioblastomas, focusing on the impact of Batch size, data augmentation strategies, and the number of training cases on model performance, along with tuning the Focal Weight Factor in the Combined Loss Function. The goal is to improve the accuracy of segmenting clinically relevant tumor regions.Methods: In this study, 3D U-Net models were trained using the BraTS Challenge dataset, which includes multimodal MRI scans (T1 post-contrast, FLAIR, and T2) with expert-labeled segmentations reviewed by a neuroradiologist to eliminate interrater variability. The models were evaluated on 108 unseen clinical cases from patients at the University Hospital Salzburg to assess their generalization capability and performance. Segmentation accuracy was measured using Intersection over Union (IoU) and a Custom Weighted Dice Score, focusing on Dice coefficients for the contrast-enhancing and non-contrast-enhancing tumor. Four Case Groups (80, 160, 240, and 314) were used to examine the effect of Case Group size on performance.Results: Models trained with Batch size of four consistently ranked among the top performers, with 80% making it into the top 10, suggesting that larger Batch sizes contribute to better generalization and stability as number of training cases increase. However, augmentations generally resulted in worse performance, except for one outlier—the best performing model—trained with a 1:1 ratio of augmentations to originals, Case Group 314, and a Batch size of one, which performed exceptionally well.Conclusion: Augmentations with a ratio of 1:3 performed poorly, particularly when three variants of one original were included in a Batch size of four, leading to overfitting. This suggests a lack of diversity within the batches caused the model to overfit, whereas a strategy mixing different augmentations within each batch led to better generalization. Case Group 314 models performed best, highlighting the importance of more training data for improved performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "access,title,abstract,date,keywords,supervisor",
        "repositum_presentation_id": null,
        "authors": [
            1485
        ],
        "ac_number": "AC17524558",
        "co_supervisor": [
            1410
        ],
        "date_end": "2018-01-31",
        "date_start": "2017-03-24",
        "doi": "10.34726/hss.2025.44861",
        "matrikelnr": "9900294",
        "open_access": "yes",
        "pages": "194",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "medical visualization",
            "diffusion tensor imaging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Machegger2018DTI-thesis.pdf",
                "type": "application/pdf",
                "size": 6647846,
                "path": "Publication:Machegger2018DTI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/Machegger2018DTI-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/Machegger2018DTI-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Machegger2018DTI/",
        "__class": "Publication"
    },
    {
        "id": "tretyak-2025-tmv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/216548",
        "title": "Tactical Medicine VR Training",
        "date": "2025",
        "abstract": "This thesis presents the design, implementation, and evaluation of a virtual reality (VR) training simulation for tactical medicine, developed using Unity and optimized for the Meta Quest 3 headset. The system recreates a high-stress scenario inspired by realworld knife attack incidents and integrates hand tracking for natural interaction. The training focuses on triage, bleeding control, and communication with injured patients and bystanders. A qualitative user study involving ten participants with prior first aid or tactical medical experience was conducted to evaluate three research questions: (1) whether realistic scenario design affects perceived stress and immersion, (2) how different interaction methods (hand tracking vs. controllers) impact usability, and (3) whether users view VR as a complement or replacement for traditional training. Thematic analysis of the interviews revealed that realistic audio-visual cues increase immersion, but do not necessarily heighten stress. Hand tracking was perceived as more intuitive, though limited by technical constraints. Participants overwhelmingly saw VR as a valuable supplement to—but not a substitute for—physical training. The findings highlight VR’s potential for scalable, immersive, and safe training solutions in emergency medicine.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5476
        ],
        "ac_number": "AC17569175",
        "doi": "10.34726/hss.2025.127193",
        "open_access": "yes",
        "pages": "93",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "Tactical Medicine",
            "Training"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "tretyak-2025-tmv-thesis.pdf",
                "type": "application/pdf",
                "size": 5183792,
                "path": "Publication:tretyak-2025-tmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/tretyak-2025-tmv-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/tretyak-2025-tmv-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/tretyak-2025-tmv/",
        "__class": "Publication"
    },
    {
        "id": "ulschmid-2025-apc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/215609",
        "title": "Automated Prioritization for Context-Aware Re-rendering in Editing",
        "date": "2025",
        "abstract": "Real-time Monte Carlo path tracing has become a feasible option for interactive 3D scene editing due to recent advancements in GPU ray tracing performance, as well as (AI-accelerated) denoising techniques. While it is thus gaining increasing support in popular modeling software, even minor edits such as adjusting materials or moving small objects typically require current solutions to discard previous samples and restart the image formation process from scratch. A recent solution introduced two adaptive, priority-based re-rendering techniques implementing incremental updates while focusing first on reconstructing regions of high importance and gradually addressing less critical areas. An extensive user study compared these prioritized renderings with conventional same-time re-rendering to evaluate their effectiveness for interactive scene editing. Results indicate a significant preference for incremental rendering techniques for editing small objects over traditional full-screen re-rendering with denoising, even with basic priority policies. Building upon these results, we revisit the underlying design choices and derive more sophisticated priority policies that respect global illumination effects (shadows and reflections) as well as employing attention-based techniques (based either on eye tracking to prioritize areas in the user’s gaze or, alternatively, using the cursor position).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1501,
            "image_height": 930,
            "name": "ulschmid-2025-apc-image.webp",
            "type": "image/webp",
            "size": 91268,
            "path": "Publication:ulschmid-2025-apc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1954,
            1030,
            193,
            1650
        ],
        "ac_number": "AC17528723",
        "articleno": "353",
        "doi": "10.1007/s42979-025-03863-z",
        "issn": "2661-8907",
        "journal": "SN Computer Science",
        "number": "2025",
        "open_access": "yes",
        "pages": "14",
        "publisher": "Springer Nature",
        "volume": "6",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Path Tracing",
            "Scene editing",
            "Adaptive rendering",
            "empirical studies"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Prioritized-ReRendering",
                "caption": "GitHub",
                "description": "GitHub",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1501,
                "image_height": 930,
                "name": "ulschmid-2025-apc-image.webp",
                "type": "image/webp",
                "size": 91268,
                "path": "Publication:ulschmid-2025-apc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image.webp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ulschmid-2025-apc-paper.pdf",
                "type": "application/pdf",
                "size": 1866148,
                "path": "Publication:ulschmid-2025-apc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/ulschmid-2025-apc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314",
            "d9275"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/ulschmid-2025-apc/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-phdthesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/215967",
        "title": "Schnelles Rendern hochdetailierter Geometrie in Echtzeit mit modernen GPUs",
        "date": "2025",
        "abstract": "Rasterization-based graphics pipelines are still essential for rendering today’s real-time rendering applications and games. We generally see high demand for efficient rasterization-based rendering techniques. With alternative approaches, such as hardware-accelerated ray tracing, it remains challenging to render more than 60 frames per second (FPS) for many real-time applications across different GPU models, or more than 90 FPS in stereo as often demanded for a smooth experience in Virtual Reality (VR) applications.In recent years, some trends emerged which put pressure on rasterization-based graphics pipelines with high geometry loads. One of these trends is VR rendering, which sometimes not only requires rendering a given scene faster and two times in every frame but some applications or settings require even more than two views to be rendered for the creation of one single frame. Another trend was mainly initiated by Epic Games’ Nanite technology, which enables the rendering of static meshes with sub-pixel geometric detail in real time. As a consequence, skinned models and other scene objects might well be expected to be rendered in similar geometric detail, increasing the geometry load even further.With this dissertation, we contribute fundamental methods and evaluations to high geometry-load scenarios in the context of real-time rendering using rasterization-based graphics pipelines to help reach the performance or quality requirements of modern real-time rendering applications and games:We contribute an in-depth analysis of the state of the art in multi-view rendering and introduce geometry shader-based pipeline variants that can help to improve compatibility and performance in challenging multi-view rendering scenarios. We describe a fundamental approach for artifact-free culling when rendering animated 3D models divided into clusters for ultra-detailed geometry scenarios. With our approach, also parts of skinned models can be culled in a fine-grained manner to match Nanite’s fine-grained culling of static clusters. In contrast to static meshes, finding conservative bounds for clusters of animated meshes is non-trivial, but is achieved with our approach. Finally, in order to render other scene objects—such as, e.g., items or generally shapes which can be described with a parametric function—in similar geometric detail, we describe a method to generate ultra-detailed geometry on the fly: After compute shader-based level of detail (LOD) determination, the resulting parametrically defined shapes are either rendered point-wise or geometry is generated on-chip using the hardware tessellator.In our research, we regard new technological developments such as hardware-accelerated multi-view rendering, new task and mesh shader stages, efficient usage of classical shader stages (such as tessellation shaders), and generally efficient usage of the vast set of features, stages, and peculiarities of modern GPUs, with the goal to accelerate real-time rendering of ultra-detailed geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            848
        ],
        "ac_number": "AC17547083",
        "date_end": "2025-04",
        "date_start": "2017-01",
        "doi": "10.34726/hss.2025.132181",
        "open_access": "yes",
        "pages": "135",
        "reviewer_1": [
            1327
        ],
        "reviewer_2": [
            198
        ],
        "rigorosum": "2025-04-10",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "GPUs",
            "levels of detail"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-phdthesis-thesis.pdf",
                "type": "application/pdf",
                "size": 3031338,
                "path": "Publication:unterguggenberger-phdthesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/unterguggenberger-phdthesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/unterguggenberger-phdthesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/unterguggenberger-phdthesis/",
        "__class": "Publication"
    },
    {
        "id": "Pahr_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/222160",
        "title": "From Interactions to Integrated Actions: Exploring Active Perception and Inter-Modality in Data Physicalization",
        "date": "2025",
        "abstract": "The growing field of data physicalization holds significant potential for integrating user actionsdirectly into the sense making process through physical artifacts. Two promising factors for physical, as opposed to virtual representations, are physical interaction and multimodal perception. Unmediated interaction in the physical space allows users to manipulate and explore dataphysicalizations in a natural way, harnessing a user’s actions to encode and decode information ina different way than purely virtual representations. In this dissertation, I explore the incorporation of user action as a means of manipulation and perception into data physicalizations, moving from representations where perception only happens after physical interactions, to representations where physical interactions directly stimulate the user’s perception. I investigate four distinct types of user interactions with data physicalizations and show how each of them can support human perception in different ways. Firstly, I show how a modular 3D representation of dynamic data can leverage physical embodiment using natural spatial perception.I demonstrate this by creating a simple interactive physical representation of a space-time-cubemetaphor and investigating it in a case study with a domain expert. Secondly, I investigate the influence of construction — an intuitively physical interaction in the physical space — of apre-defined physical representation on human perception. I show this by designing a networkdata physicalization toolkit and conducting a between-subject study, comparing different ways to instruct a user during construction. Thirdly, I introduce tactile perception of the elastic properties of an object in a multi-modal representation of volume data. I showcase this at the hands of a fabrication pipeline that creates elastic artifacts from volume data using consumer-level 3D printing and validate the method through computational, mechanical, and perceptualstudies. Finally, I explore the benefits of manually operating a physical representation of adynamic process, leveraging the tactile feedback to the user for information encoding. By means of a between-subject user study, I show that integrating a user’s actions into a representation significantly increases engagement.Overall, the results show that even a simple physicalization can highlight the perceptual benefits of physically encoding data by ways of natural perception. Abstract representations have to be learned by users but can be supported by physical interactions, while embodied metaphors profit from direct interactivity if the stimulus fits the sensory capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords,type_id",
        "repositum_presentation_id": null,
        "authors": [
            1813
        ],
        "ac_number": "AC17729893",
        "co_supervisor": [
            1464
        ],
        "date_end": "2024",
        "date_start": "2021",
        "doi": "10.34726/hss.2025.137817",
        "open_access": "yes",
        "pages": "124",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Data physicalization",
            "Interaction",
            "Embodiment"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pahr_PhD-thesis.pdf",
                "type": "application/pdf",
                "size": 3694895,
                "path": "Publication:Pahr_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/Pahr_PhD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/Pahr_PhD/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2025-holographs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/216593",
        "title": "HoloGraphs: An Interactive Physicalization for Dynamic Graphs",
        "date": "2025",
        "abstract": "We present HoloGraphs, a novel approach for physically representing, explaining, exploring, and interacting with dynamic networks. HoloGraphs addresses the challenges of visualizing and understanding evolving network structures by providing an engaging method of interacting and exploring dynamic network structures using physicalization techniques. In contrast to traditional digital interfaces, our approach leverages tangible artifacts made from transparent materials to provide an intuitive way for people with low visualization literacy to explore network data. The process involves printing network embeddings on transparent media and assembling them to create a 3D representation of dynamic networks, maintaining spatial perception and allowing the examination of each timeslice individually. Interactivity is envisioned using optional Focus+Context layers and overlays for node trajectories and labels. Focus layers highlight nodes of interest, context layers provide an overview of the network structure, and global overlays show node trajectories over time. In this paper, we outline the design principles and implementation of HoloGraphs and present how elementary digital interactions can be mapped to physical interactions to manipulate the elements of a network and temporal dimension in an engaging matter. We demonstrate the capabilities of our concept in a case study. Using a dynamic network of character interactions from a popular book series, we showcase how it represents and supports understanding complex concepts such as dynamic networks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 6000,
            "image_height": 4000,
            "name": "pahr-2025-holographs-teaser.JPG",
            "type": "image/jpeg",
            "size": 5834127,
            "path": "Publication:pahr-2025-holographs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1850,
            5417
        ],
        "booktitle": "Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP, HUCAPP and IVAPP: IVAPP,",
        "date_from": "2025-02-26",
        "date_to": "2025-02-28",
        "doi": "10.5220/0013116000003912",
        "event": "20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP , GRAPP, HUCAPP and IVAPP 2025)",
        "isbn": "978-989-758-728-3",
        "lecturer": [
            1813
        ],
        "location": "Porto",
        "pages": "8",
        "pages_from": "859",
        "pages_to": "866",
        "volume": "1",
        "research_areas": [],
        "keywords": [
            "Dynamic Networks",
            "Fabrication",
            "Information Visualization",
            "Physicalization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "a 3d visualization of a dynamic network, made from transparent projector slides stacked in parallel",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 6000,
                "image_height": 4000,
                "name": "pahr-2025-holographs-teaser.JPG",
                "type": "image/jpeg",
                "size": 5834127,
                "path": "Publication:pahr-2025-holographs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/pahr-2025-holographs-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-holographs/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2025-nodkant",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/216536",
        "title": "NODKANT: exploring constructive network physicalization",
        "date": "2025",
        "abstract": "Physicalizations, which combine perceptual and sensorimotor interactions, offer an immersive way to comprehend complex data visualizations by stimulating active construction and manipulation. This study investigates the impact of personal construction on the comprehension of physicalized networks. We propose a physicalization toolkit—NODKANT—for constructing modular node-link diagrams consisting of a magnetic surface, 3D printable and stackable node labels, and edges of adjustable length. In a mixed-methods between-subject lab study with 27 participants, three groups of people used NODKANT to complete a series of low-level analysis tasks in the context of an animal contact network. The first group was tasked with freely constructing their network using a sorted edge list, the second group received step-by-step instructions to create a predefined layout, and the third group received a pre-constructed representation. While free construction proved on average more time-consuming, we show that users extract more insights from the data during construction and interact with their representation more frequently, compared to those presented with step-by-step instructions. Interestingly, the increased time demand cannot be measured in users' subjective task load. Finally, our findings indicate that participants who constructed their own representations were able to recall more detailed insights after a period of 10–14 days compared to those who were given a pre-constructed network physicalization. All materials, data, code for generating instructions, and 3D printable meshes are available on https://osf.io/tk3g5/.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 536,
            "name": "pahr-2025-nodkant-teaser.jpg",
            "type": "image/jpeg",
            "size": 46516,
            "path": "Publication:pahr-2025-nodkant",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "authors,projects",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            5488,
            1850,
            5417,
            5489,
            1059,
            1464,
            1410
        ],
        "ac_number": "AC17571629",
        "articleno": "e70140",
        "doi": "10.1111/cgf.70140",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "open_access": "yes",
        "pages": "12",
        "publisher": "WILEY",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Empirical studies in visualization",
            "human-centered computing",
            "Visualization Application Domains"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pahr-2025-nodkant-paper.pdf",
                "type": "application/pdf",
                "size": 15020616,
                "path": "Publication:pahr-2025-nodkant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-paper:thumb{{size}}.png"
            },
            {
                "description": "An IKEA-like illustration of a person looking at a dataset, assembling a graph manually, and being happy with the result",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 536,
                "name": "pahr-2025-nodkant-teaser.jpg",
                "type": "image/jpeg",
                "size": 46516,
                "path": "Publication:pahr-2025-nodkant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/pahr-2025-nodkant-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pahr-2025-nodkant/",
        "__class": "Publication"
    },
    {
        "id": "pointner_simon-2022-maa",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/225169",
        "title": "Cycle Safely",
        "date": "2025",
        "abstract": "This thesis presents a design and implementation of an end-to-end collision prediction and detection pipeline tailored to cyclists. The primary goal is to predict potential collisions between the cyclist (ego agent) and other road users, particularly motorised vehicles, which pose a higher risk due to higher momentum and speed. The proposed pipeline integrates conventional techniques for solving the sub-tasks of object detection, object tracking, and trajectory forecasting. Specifically, Super Fast and Accurate 3D Object Detection (SFA3D) is used for the detection, a Kalman filter-based multi-object tracker for temporal association of these detections, and a machine learning-based model (prediction conditioned on goals in visual multi-agent settings) is adapted and trained for the prediction of future trajectories. CARLA driving simulator facilitates the training and development of the prediction model by creating a synthetic dataset of cycling and the interaction with other road users. The system is evaluated on the synthetic dataset and also on the real-world KITTI dataset, and additional ablation studies examine the contribution of each pipeline stage. Experiments demonstrate that the proposed approach is capable of achieving reliable performance in object detection and tracking tasks. This confirms the feasibility of such a pipeline under limited sensing capabilities, such as LIDAR and GPS/IMU measurements. However, trajectory prediction remains a difficult and computationally expensive task, primarily due to the lack of documented and easily deployable open-source models. The implementation comes with a visualisation framework, built from the Rerun tool, for interactive inspection of the pipeline’s intermediate and final results.The contribution of this thesis can be summarised by the implementation of a framework for cyclist collision detection. It offers insights into how conventional and machine learning methods can be combined into a pipeline, and key limitations and points of future work for the creation of better trajectory prediction in adverse traffic contexts are outlined.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1796
        ],
        "ac_number": "AC17754544",
        "co_supervisor": [
            948
        ],
        "date_start": "2021-11-29",
        "doi": "10.34726/hss.2025.111224",
        "matrikelnr": "01612401",
        "open_access": "yes",
        "pages": "86",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "cycling",
            "collision detection",
            "trajectory prediction",
            "machine learning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pointner_simon-2022-maa-thesis.pdf",
                "type": "application/pdf",
                "size": 6379604,
                "path": "Publication:pointner_simon-2022-maa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/pointner_simon-2022-maa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/pointner_simon-2022-maa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2025/pointner_simon-2022-maa/",
        "__class": "Publication"
    },
    {
        "id": "Meier_2024_WIALT",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulating Windows for Lighting Design Optimization",
        "date": "2024-12-20",
        "abstract": "For lighting design, optimizing windows plays a major role, especially for office and living spaces, as natural light is important for focus, productivity and also mood. The rendering framework Tamashii, which is currently in development at the research unit of computer graphics at TU Wien, offers a feature to automatically optimize multiple parameters of light sources like the position, intensity or rotation for a predefined lighting target. This thesis aims to expand the possibilities Tamashii offers for lighting design by simulating windows through area lights. Tamashii’s automatic light parameter optimization relies on light tracing, which unlike path tracing, casts the light rays from the light sources instead of the camera. This is why implementing environment maps in a classical sense is not feasible, as emitting light rays from each pixel of the environment map only for a small percentage to go through the window is very inefficient. We implement a new type of light that combines area lights with Illuminating Engineering Society (IES) lights in order to simulate windows. The IES standard is a file format commonly used by luminaire manufacturers to describe the physical properties of a luminaire for simulation in software. To accurately mimic the light that shines through real windows, we convert High Dynamic Range (HDR) files into IES profiles, which our lights can then use. Our new light type can also be attached to models in the scene, such as walls or roofs, which constrains the manual movement of the windows to the connected object and makes their usage more intuitive. In our tests, we find that our implementation is able to realistically simulate real windows when compared to the same combination of scenes and HDR files in Blender’s path tracing renderer Cycles. To ensure that the light parameter optimization algorithm only moves the window lights inside the model its connected to, we implement a constraint that gets evaluated repeatedly while optimizing. We realize this by calculating penalties when the light reaches the edges of the model, in order to encourage the algorithm to keep the window light inside. When evaluating our implementation we find that with the activated constraint, the algorithm is able to find valid positions for the window lights when optimizing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5362
        ],
        "date_end": "2024-12-20",
        "date_start": "2024-05-02",
        "matrikelnr": "e11908106",
        "supervisor": [
            193,
            1946
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Meier_2024_WIALT-thesis.pdf",
                "type": "application/pdf",
                "size": 80250870,
                "path": "Publication:Meier_2024_WIALT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/Meier_2024_WIALT-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Meier_2024_WIALT/",
        "__class": "Publication"
    },
    {
        "id": "cardoso-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/209309",
        "title": "Approaching Under-Explored Image-Space Problems with Optimization",
        "date": "2024-12-19",
        "abstract": "This doctoral dissertation delves into three distinct yet interconnected problems in the realm of interactive image-space computing in computer graphics, each of which has not been tackled by existing literature.The first problem centers on the prediction of visual error metrics in real-time applications, specifically in the context of content-adaptive shading and shading reuse. Utilizing convolutional neural networks, this research aims to estimate visual errors without requiring reference or rendered images. The models developed can account for 70%–90% of the variance and achieve computation times that are an order of magnitude faster than existing methods. This enables a balance between resource-saving and visual quality, particularly in deferred shading pipelines, and can achieve up to twice the performance compared to state-of-the-art methods depending on the portion of unseen image regions. The second problem focuses on the burgeoning field of light-field cameras and the challenges associated with depth prediction. This research argues for the refinement of cost volumes rather than depth maps to increase the accuracy of depth predictions. A set of cost-volume refinement algorithms is proposed, which dynamically operate at runtime to find optimal solutions, thereby enhancing the accuracy and reliability of depth estimation in light fields.The third problem tackles the labor-intensive nature of hand-drawn animation, specifically in the detailing of character eyes. An unsupervised network is introduced that blends inpainting and image-to-image translation techniques. This network employs a novel style-aware clustering method and a dual-discriminator optimization strategy with a triple-reconstruction loss. The result is an improvement in the level of detail and artistic consistency in hand-drawn animation, preferred over existing work 95.16% of the time according to a user study.Optimization techniques are the common thread that ties these problems together. While dynamic optimization at runtime is employed for cost volume refinement, deep-learning methods are used offline to train global solutions for the other two problems. This research not only fills gaps in the existing literature but also paves the way for future explorations in the field of computer graphics and optimization, offering new avenues for both academic research and practical applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1639
        ],
        "ac_number": "AC17414787",
        "date_end": "2024-12-19",
        "date_start": "2019-04",
        "doi": "10.34726/hss.2025.128664",
        "matrikelnr": "11937133",
        "open_access": "yes",
        "pages": "110",
        "reviewer_1": [
            1825
        ],
        "reviewer_2": [
            5420
        ],
        "rigorosum": "2024-12-19",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "variable-rate shading",
            "light-fields",
            "limited animation",
            "anime",
            "convolutional neural networks"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cardoso-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 47447576,
                "path": "Publication:cardoso-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/cardoso-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-thesis/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2024-cui",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/210589",
        "title": "Certain Uncertainties in Visual Data Science",
        "date": "2024-12-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2024-12-10",
        "date_to": "2024-12-10",
        "event": "Faculty Colloquium",
        "lecturer": [
            166
        ],
        "location": "Passau",
        "research_areas": [],
        "keywords": [
            "uncertainty visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/groeller-2024-cui/",
        "__class": "Publication"
    },
    {
        "id": "sakai-2024-asa",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/209940",
        "title": "A Statistical Approach to Monte Carlo Denoising",
        "date": "2024-12",
        "abstract": "The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on data-driven, pretrained neural networks. In contrast, in this paper we propose a statistical approach to the denoising problem, treating each pixel as a random variable and reasoning about its distribution. Considering a pixel of the noisy rendered image, we formulate fast pair-wise statistical tests—based on online estimators—to decide which of the nearby pixels to exclude from the denoising filter. We show that for symmetric pixel weights and normally distributed samples, the classical Welch t-test is optimal in terms of mean squared error. We then show how to extend this result to handle non-normal distributions, using more recent confidence-interval formulations in combination with the Box-Cox transformation. Our results show that our statistical denoising approach matches the performance of state-of-the-art neural image denoising without having to resort to any computation-intensive pretraining. Furthermore, our approach easily generalizes to other quantities besides pixel intensity, which we demonstrate by showing additional applications to Russian roulette path termination and multiple importance sampling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.",
            "filetitle": "Representative Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1980,
            "image_height": 1320,
            "name": "sakai-2024-asa-Representative Image.jpg",
            "type": "image/jpeg",
            "size": 3344845,
            "path": "Publication:sakai-2024-asa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,articleno",
        "repositum_presentation_id": null,
        "authors": [
            1129,
            1128,
            808,
            1946,
            193
        ],
        "articleno": "68",
        "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers",
        "date_from": "2024-12-03",
        "date_to": "2024-12-06",
        "doi": "10.1145/3680528.3687591",
        "event": "SA '24: SIGGRAPH Asia 2024",
        "isbn": "979-8-4007-1131-2",
        "lecturer": [
            1129
        ],
        "location": "Tokyo",
        "open_access": "yes",
        "pages": "11",
        "publisher": "Association for Computing Machinery",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Monte Carlo rendering",
            "path tracing",
            "denoising",
            "image filtering",
            "statistics"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/StatMC",
                "caption": "Project Page",
                "description": null,
                "main_file": 1
            }
        ],
        "files": {
            "0": {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sakai-2024-asa-paper.pdf",
                "type": "application/pdf",
                "size": 11789710,
                "path": "Publication:sakai-2024-asa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-paper:thumb{{size}}.png"
            },
            "1": {
                "description": "Image illustrating the proposed denoising method, created by the paper authors. The “Wooden Staircase” scene has been created by Wig42 (https://blendswap.com/profile/130393) under the CC BY 3.0 license.",
                "filetitle": "Representative Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1980,
                "image_height": 1320,
                "name": "sakai-2024-asa-Representative Image.jpg",
                "type": "image/jpeg",
                "size": 3344845,
                "path": "Publication:sakai-2024-asa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Representative Image:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "Supplementary Document",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sakai-2024-asa-Supplementary Document.pdf",
                "type": "application/pdf",
                "size": 10739991,
                "path": "Publication:sakai-2024-asa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/sakai-2024-asa-Supplementary Document:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d9259"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/sakai-2024-asa/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2024-mmm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/205726",
        "title": "Me! Me! Me! Me! A study and comparison of ego network representations",
        "date": "2024-12",
        "abstract": "From social networks to brain connectivity, ego networks are a simple yet powerful approach to visualizing parts of a larger graph, i.e. those related to a selected focal node — the so-called “ego”. While surveys and comparisons of general graph visualization approaches exist in the literature, we note (i) the many conflicting results of comparisons of adjacency matrices and node-link diagrams, thus motivating further study, as well as (ii) the absence of such systematic comparisons for ego networks specifically. In this paper, we propose the development of empirical recommendations for ego network visualization strategies. First, we survey the literature across application domains and collect examples of network visualizations to identify the most common visual encodings, namely straight-line, radial, and layered node-link diagrams, as well as adjacency matrices. These representations are then applied to a representative, intermediate-sized network and subsequently compared in a large-scale, crowd-sourced user study in a mixed-methods analysis setup to investigate their impact on both user experience and performance. Within the limits of this study, and contrary to previous comparative investigations of adjacency matrices and node-link diagrams (outside of ego networks specifically), participants performed systematically worse when using adjacency matrices than those using node-link diagrammatic representations. Similar to previous comparisons of different node-link diagrams, we do not detect any notable differences in participant performance between the three node-link diagrams. Lastly, our quantitative and qualitative results indicate that participants found adjacency matrices harder to learn, use, and understand than node-link diagrams. We conclude that in terms of both participant experience and performance, a layered node-link diagrammatic representation appears to be the most preferable for ego network visualization purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1813,
            5417,
            1464,
            1410
        ],
        "articleno": "104123",
        "doi": "10.1016/j.cag.2024.104123",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "open_access": "yes",
        "pages": "15",
        "pages_from": "1",
        "pages_to": "15",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "125",
        "research_areas": [
            "NetVis"
        ],
        "keywords": [
            "Adjacency matrix",
            "Ego network visualization",
            "Layered node-link diagram",
            "Radial node-link diagram",
            "Straight-line node-link diagram",
            "User study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ehlers-2024-mmm-paper.pdf",
                "type": "application/pdf",
                "size": 2475868,
                "path": "Publication:ehlers-2024-mmm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/ehlers-2024-mmm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-mmm/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2024-squishicalization",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/208691",
        "title": "Squishicalization: Exploring Elastic Volume Physicalization",
        "date": "2024-12",
        "abstract": "We introduce Squishicalization , a pipeline for generating physicalizations of volumetric data that encode scalar information through their physical characteristics—specifically, by varying their “squishiness” or local elasticity. Data physicalization research is increasingly exploring multisensory information encoding, with a particular focus on enhancing direct interactivity. With Squishicalization , we leverage the tactile dimension of physicalization as a means of direct interactivity. Inspired by conventional volume rendering, we adapt the concept of transfer functions to encode scalar values from volumetric data into local elasticity levels. In this way, volumetric scalar data are transformed into sculptures, where the elasticity represents physical properties such as the material's density distribution within the volume. In our pipeline, scalar values guide the weighted sampling of the scalar field. The sampled data is then processed through Voronoi tessellation to create a sponge-like structure, which can be printed with consumer-grade 3D printers and readily available filament. To validate our pipeline, we conduct a computational and mechanical evaluation, as well as a two-stage perceptual study of the capabilities of our generated squishicalizations. To further investigate potential application scenarios, we interview experts across several domains. Finally, we summarize actionable insights and future avenues for the application of our All supplemental materials are available at https://osf.io/35gnv/?view_only=605e5085061f40439a98545f0c447cf3 .",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2177,
            "image_height": 1639,
            "name": "pahr-2024-squishicalization-teaser.png",
            "type": "image/png",
            "size": 3380920,
            "path": "Publication:pahr-2024-squishicalization",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,open_access",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            5430,
            1464,
            1410
        ],
        "doi": "10.1109/TVCG.2024.3516481",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages": "14",
        "pages_from": "1",
        "pages_to": "14",
        "publisher": "IEEE COMPUTER SOC",
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "Elasticity",
            "Three Dimensional Printing",
            "Pipelines",
            "Fabrication",
            "Microstructures",
            "Rendering Computer Graphics",
            "Encoding",
            "Printing",
            "Data Physicalization",
            "Data Visualization",
            "Digital Fabrication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "A hand coming from the left side of the picture squeezes the face of a printed representation of an MRI.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2177,
                "image_height": 1639,
                "name": "pahr-2024-squishicalization-teaser.png",
                "type": "image/png",
                "size": 3380920,
                "path": "Publication:pahr-2024-squishicalization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/pahr-2024-squishicalization-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-squishicalization/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2024",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2024",
        "date": "2024-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1863,
            "image_height": 1318,
            "name": "xmas-2024-.PNG",
            "type": "image/png",
            "size": 6124629,
            "path": "Publication:xmas-2024",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1937
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Christmas",
            "Digital Elevation Models",
            "L-system-based modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1863,
                "image_height": 1318,
                "name": "xmas-2024-.PNG",
                "type": "image/png",
                "size": 6124629,
                "path": "Publication:xmas-2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-:thumb{{size}}.png"
            },
            {
                "description": "Christmas Card as PDF",
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2024-Card.pdf",
                "type": "application/pdf",
                "size": 3113633,
                "path": "Publication:xmas-2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/xmas-2024-Card:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/xmas-2024/",
        "__class": "Publication"
    },
    {
        "id": "marin-2024-sing",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/208566",
        "title": "SING: Stability-Incorporated Neighborhood Graph",
        "date": "2024-12",
        "abstract": "We introduce the Stability-Incorporated Neighborhood Graph (SING), a novel density-aware structure designed to capture the intrinsic geometric properties of a point set. We improve upon the spheres-of-influence graph by incorporating additional features to offer more flexibility and control in encoding proximity information and capturing local density variations. Through persistence analysis on our proximity graph, we propose a new clustering technique and explore additional variants incorporating extra features for the proximity criterion. Alongside the detailed analysis and comparison to evaluate its performance on various datasets, our experiments demonstrate that the proposed method can effectively extract meaningful clusters from diverse datasets with variations in density and correlation. Our application scenarios underscore the advantages of the proposed graph over classical neighborhood graphs, particularly in terms of parameter tuning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2607,
            "image_height": 709,
            "name": "marin-2024-sing-image.png",
            "type": "image/png",
            "size": 897420,
            "path": "Publication:marin-2024-sing",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            1825,
            948,
            193,
            5431,
            5297
        ],
        "booktitle": "SA '24: SIGGRAPH Asia 2024 Conference Papers",
        "date_from": "2024-12-03",
        "date_to": "2024-12-06",
        "doi": "10.1145/3680528.3687674",
        "editor": "Igarashi, Takeo and Shamir, Ariel and Zhang, Hao",
        "event": "SA '24: SIGGRAPH Asia 2024",
        "isbn": "979-8-4007-1131-2",
        "lecturer": [
            1848
        ],
        "location": "Tokyo",
        "pages": "10",
        "pages_from": "1",
        "pages_to": "10",
        "publisher": "Association for Computing Machinery",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Proximity graphs",
            "Stipple art editing",
            "Pattern design",
            "Network topology",
            "clustering",
            "point patterns",
            "similarity metric",
            "discrete distributions",
            "persistence analysis",
            "Neighborhood graph",
            "topological data analysis",
            "K-means",
            "Rips complexes"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2607,
                "image_height": 709,
                "name": "marin-2024-sing-image.png",
                "type": "image/png",
                "size": 897420,
                "path": "Publication:marin-2024-sing",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2024-sing-paper.pdf",
                "type": "application/pdf",
                "size": 12994577,
                "path": "Publication:marin-2024-sing",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/marin-2024-sing-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-sing/",
        "__class": "Publication"
    },
    {
        "id": "lucio-2024-yfy",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/208563",
        "title": "Your Face, Your Anatomy: Flashcard Lenses Enriched with Knowledge Maps for Anatomy Education",
        "date": "2024-11",
        "abstract": "Traditional anatomy flashcards, with their recognizable static illustrations on the front side and comprehensive lists of concepts on the back, are a long-standing tool for memorizing and refreshing anatomical concepts. This study repurposes such established tool by introducing two key elements: (i) Augmented Reality (AR) lenses acting as magic mirrors enabling users to view anatomical illustrations mapped onto their own faces, and (ii) a knowledge map layer acting as the card’s backside to visually and explicitly illustrate conceptual connections between anatomical reference points. Using Snapchat’s Lens Studio, we crafted a deck of interactive facial anatomy flashcards to assess the potential of AR and knowledge maps for retaining and refreshing anatomical concepts. We conducted a user study involving 44 university-level students. Divided into two groups, participants utilized either flashcard lenses with knowledge maps or traditional flashcards to quickly grasp and refresh anatomical concepts. By employing an approach that integrates anatomical quizzes for objective assessment with surveys and interviews for subjective feedback, our results indicate that anatomy flashcard lenses with knowledge maps offer a more engaging educational experience, yielding higher user preferences and satisfaction levels compared to traditional flashcards. While both approaches showed similar effectiveness in quiz scores, anatomy flashcard lenses with knowledge maps were favored for their usability, significantly reducing temporal demand. These findings underscore the engaging and effective nature of anatomy flashcard lenses with knowledge maps, highlighting them as an alternative tool for the quick retention and review of anatomical concepts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5407,
            1410,
            5412,
            5413
        ],
        "booktitle": "Proceedings 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
        "date_from": "2024-10-21",
        "date_to": "2024-10-25",
        "editor": "Eck, Ulrich and Sra, Misha and Stefanucci, Jeanine and Sugimoto, Maki and Tatzgern, Markus and Williams, Ian",
        "event": "2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
        "isbn": "979-8-3315-1647-5",
        "lecturer": [
            5407
        ],
        "location": "Seattle",
        "pages": "10",
        "pages_from": "495",
        "pages_to": "504",
        "research_areas": [],
        "keywords": [
            "flashcards",
            "anatomy education",
            "mobile augmented reality",
            "embodied learning",
            "knowledge maps",
            "snapchat"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lucio-2024-yfy/",
        "__class": "Publication"
    },
    {
        "id": "schultes_lampi",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Live Ambient Physicalization Interface for dynamic Data - LAMPI",
        "date": "2024-11",
        "abstract": "Data physicalizations are becoming increasingly popular as a means of connecting people to abstract data and may help integrate the flood of information collected by modern technology into our everyday lives. In this thesis, I describe the design process for a software framework facilitating the physicalization of a stream of live data as well as the prototype of a dynamic shape and color-changing data physicalization for said data. I simulated elderly patients sharing their data using a recorded dataset to show the capabilities of the software framework and physicalization. The proposed concept provides a new method for communicating data in remote monitoring scenarios that can be built from accessible materials. It is also capable of showcasing data for other use cases with minimal adaptations, further expanding the possibilities for data physicalization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1750,
            "image_height": 1800,
            "name": "schultes_lampi-teaser.png",
            "type": "image/png",
            "size": 2507235,
            "path": "Publication:schultes_lampi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5416
        ],
        "date_end": "2024-11",
        "date_start": "2024-06",
        "matrikelnr": "12025959",
        "supervisor": [
            1813
        ],
        "research_areas": [
            "Fabrication",
            "IllVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1750,
                "image_height": 1800,
                "name": "schultes_lampi-teaser.png",
                "type": "image/png",
                "size": 2507235,
                "path": "Publication:schultes_lampi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schultes_lampi-thesis.pdf",
                "type": "application/pdf",
                "size": 27678879,
                "path": "Publication:schultes_lampi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/schultes_lampi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/schultes_lampi/",
        "__class": "Publication"
    },
    {
        "id": "thesis-kronsteiner",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Einfluss des Seitenverhältnisses auf Parallele Koordinaten",
        "date": "2024-10-10",
        "abstract": "Parallel coordinates are a unique visualization technique that presents promising opportunities for the visualization of large and diverse multivariate datasets. Applications\nsuch as web-based visualizations and dashboards are common use cases for this type\nof data. Prevalent concepts in the modern web are responsive design - the ability of\na web page to fit any screen resolution - as well as interactivity and customizability,\nrequiring us to consider the role of aspect ratio in the design of visual displays. We\nimplemented a web-based tool and conducted a statistical analysis of angle parameters\nin parallel coordinates plots. Our results indicate a significant influence of aspect ratio\non the display of parallel coordinates, and show that landscape orientations are more\nconsistent across different aspect ratios than portrait orientations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1159,
            "image_height": 814,
            "name": "thesis-kronsteiner-image.jpeg",
            "type": "image/jpeg",
            "size": 400170,
            "path": "Publication:thesis-kronsteiner",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image.jpeg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5398
        ],
        "date_end": "2024-10-10",
        "date_start": "2024-04-10",
        "matrikelnr": "11808233",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1159,
                "image_height": 814,
                "name": "thesis-kronsteiner-image.jpeg",
                "type": "image/jpeg",
                "size": 400170,
                "path": "Publication:thesis-kronsteiner",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image.jpeg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "thesis-kronsteiner-thesis.pdf",
                "type": "application/pdf",
                "size": 7513311,
                "path": "Publication:thesis-kronsteiner",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/thesis-kronsteiner-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-kronsteiner/",
        "__class": "Publication"
    },
    {
        "id": "furmanova-2024-bvp",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": "20.500.12708/204500",
        "title": "BioMedical Visualization : Past Work, Current Trends, and Open Challenges",
        "date": "2024-10-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5406,
            1248,
            1819,
            166,
            563,
            1410
        ],
        "doi": "10.1007/978-3-031-66789-3",
        "isbn": "978-3-031-66788-6",
        "pages": "159",
        "publisher": "Springer Nature",
        "research_areas": [],
        "keywords": [
            "biomedical visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/furmanova-2024-bvp/",
        "__class": "Publication"
    },
    {
        "id": "shilo-2024-vnt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/200043",
        "title": "Visual narratives to edutain against misleading visualizations in healthcare",
        "date": "2024-10",
        "abstract": "We propose an interactive game based on visual narratives to edutain, i.e., to educate while entertaining, broad audiences against misleading visualizations in healthcare. Uncertainty at various stages of the visualization pipeline may give rise to misleading visual representations. These comprise misleading elements that may negatively impact the audiences by contributing to misinformed decisions, delayed treatments, and a lack of trust in medical information. We investigate whether visual narratives within the setting of an educational game support recognizing and addressing misleading elements in healthcare-related visualizations. Our methodological approach focuses on three key aspects: (i) identifying uncertainty types in the visualization pipeline which could serve as the origin of misleading elements, (ii) designing fictional visual narratives that comprise several misleading elements linking to these uncertainties, and (iii) proposing an interactive game that aids the communication of these misleading visualization elements to broad audiences. The game features eight fictional visual narratives built around misleading visualizations, each with specific assumptions linked to uncertainties. Players assess the correctness of these assumptions to earn points and rewards. In case of incorrect assessments, interactive explanations are provided to enhance understanding For an initial assessment of our game, we conducted a user study with 21 participants. Our study indicates that when participants incorrectly assess assumptions, they also spend more time elaborating on the reasons for their mistakes, indicating a willingness to learn more. The study also provided positive indications on game aspects such as memorability, reinforcement, and engagement, while it gave us pointers for future improvement.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5288,
            1410
        ],
        "articleno": "104011",
        "doi": "10.1016/j.cag.2024.104011",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "pages": "11",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "123",
        "research_areas": [],
        "keywords": [
            "Healthcare edutainment",
            "Interactive game",
            "Misleading visualizations",
            "Uncertainty",
            "Visual narratives"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/shilo-2024-vnt/",
        "__class": "Publication"
    },
    {
        "id": "meka-2024-lpi",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/202164",
        "title": "Line Perception in Parallel Coordinates under different Aspect Ratios",
        "date": "2024-10",
        "abstract": "This thesis investigates the impact of different aspect ratios on the perception of angles and lines in parallel coordinates. Parallel coordinates are a visualization technique for representing multivariate data where each variable is drawn as a parallel axis, and data points are connected by lines across these axes. This method allows for the simultaneous visualization of more than two variables and enables the interpretation of correlation patterns within a given dataset.However, the reliability and accuracy of this interpretation can be significantly influenced by the aspect ratio of the plot. This thesis aims to explore how variations in aspect ratios affect the accuracy and confidence of users in perceiving correlations within parallel coordinates.The methodological approach comprises three components: the development of a web-based visualization tool, a statistical analysis of line and angle parameters, and an empirical user study. The visualization tool enables users to display parallel coordinates in various aspect ratios and analyze the geometric properties of the lines in the plot. The statistical analysis reveals that aspect ratios significantly correlate with the minimum and maximum angles in parallel coordinates, which in turn affects the visual perception and interpretation of the data. These findings are validated through a web-based user study, demonstrating that specific aspect ratios lead to more accurate and reliable correlation estimates. The results underscore considerate usage of flexible aspect ratios to minimize distortion and ensure the reliability of visual data interpretation in parallel coordinates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1199,
            "image_height": 556,
            "name": "meka-2024-lpi-Teaser.png",
            "type": "image/png",
            "size": 738921,
            "path": "Publication:meka-2024-lpi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            5397
        ],
        "co_supervisor": [
            950
        ],
        "date_end": "2024-10",
        "date_start": "2024-02",
        "diploma_examina": "2024-10-09",
        "doi": "10.34726/hss.2024.119265",
        "matrikelnr": "12045662",
        "open_access": "yes",
        "pages": "113",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Parallel Coordinates",
            "Aspect Ratio",
            "Perception"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1199,
                "image_height": 556,
                "name": "meka-2024-lpi-Teaser.png",
                "type": "image/png",
                "size": 738921,
                "path": "Publication:meka-2024-lpi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "meka-2024-lpi-Thesis.pdf",
                "type": "application/pdf",
                "size": 5693734,
                "path": "Publication:meka-2024-lpi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/meka-2024-lpi-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/meka-2024-lpi/",
        "__class": "Publication"
    },
    {
        "id": "kimmersdorfer-2024-vcpr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vertex Compression with Mesh Shaders for Skinned Meshes",
        "date": "2024-10",
        "abstract": "Vertex compression helps to enhance the performance of real-time rendering applications, making it a valuable technique in modern computer graphics. In this work, we investigate current state-of-the-art methods for the compression of positions, normals, texture coordinates and blend attributes. Our primary objective is to efficiently compress blend attributes in rigged meshes, particularly focusing on bone weights and indices. We leverage a recent hardware advancement: the mesh shading pipeline. This pipeline enables us to propose a novel compression scheme for blend attributes, which achieves a significant reduction in memory usage of up to 92.75% compared to existing state-of-theart methods using a traditional rendering pipeline. Additionally, we briefly discuss and compare different meshlet building algorithms, meshlet buffer structures, and meshlet extensions within the Vulkan framework. Finally, the proposed codecs are validated through a series of benchmarks focused on resource utilization and performance.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "kimmersdorfer-2024-vcpr-image.png",
            "type": "image/png",
            "size": 1866926,
            "path": "Publication:kimmersdorfer-2024-vcpr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1869
        ],
        "date_end": "2024-10",
        "date_start": "2023-01",
        "matrikelnr": "01326608",
        "supervisor": [
            848,
            1650,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "compression",
            "vertex data",
            "vertex compression",
            "meshlets",
            "mesh shaders"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "kimmersdorfer-2024-vcpr-image.png",
                "type": "image/png",
                "size": 1866926,
                "path": "Publication:kimmersdorfer-2024-vcpr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor thesis",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kimmersdorfer-2024-vcpr-thesis.pdf",
                "type": "application/pdf",
                "size": 2269890,
                "path": "Publication:kimmersdorfer-2024-vcpr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/kimmersdorfer-2024-vcpr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kimmersdorfer-2024-vcpr/",
        "__class": "Publication"
    },
    {
        "id": "Petersen_Viktoria-2024-SBO",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global optimization and learning for lighting design",
        "date": "2024-09-30",
        "abstract": "Global optimisation and learning for lighting design is a work in extension of the Tamashii rendering framework by the Rendering and Modeling Group at TU Wien. Tamashii offers a user interface and implementation to perform a local optimisation task on a scene to find the position of the scene’s light object in order to recreate a given target illumination. We extend the existing framework by implementing a global search for the optimum and additional surrogate models to provide machine learning alternatives to apply various optimisation algorithms. We examine the performance of several different optimisation methods with respect to efficiency, accuracy, and versatility. Furthermore, we compare the use of algorithms in combination with surrogate models versus optimising on the Tamashii model directly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5337
        ],
        "date_end": "2024-09-30",
        "date_start": "2024-03-15",
        "matrikelnr": "e11924496",
        "supervisor": [
            1946,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "BSc Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Petersen_Viktoria-2024-SBO-BSc Thesis.pdf",
                "type": "application/pdf",
                "size": 12586508,
                "path": "Publication:Petersen_Viktoria-2024-SBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/Petersen_Viktoria-2024-SBO-BSc Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/Petersen_Viktoria-2024-SBO-BSc Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Petersen_Viktoria-2024-SBO/",
        "__class": "Publication"
    },
    {
        "id": "Dhanoa2024",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "From Analysis to Communication: Supporting Users in Understanding Complex Spreadsheets and Dashboards",
        "date": "2024-09-26",
        "abstract": "Advancements in big data processing and interactive visualization tools have led to significant changes in how users analyze and explore their data. This thesis aims to\naddress the challenges resulting from these changes through a two-step approach to support users. We first address the issues at the spreadsheet level before moving on to more complex visual representations in a dashboard environment. We use the Fuzzy Spreadsheet approach at the spreadsheet level to include uncertain information in the decision-making process. Our approach augments traditional spreadsheets with uncertain\ninformation where a cell can hold and display a distribution of values, in addition to other contextually relevant information, such as impact and relationship between cells, to convey sensitivity and robustness information to the user. When users transition from spreadsheet representations to advanced visualization tools such as interactive dashboards, they often face challenges related to their use that can lead them to revert to their old, familiar static analysis tools. With the help of dashboard onboarding, authors can communicate the intended use and purpose of their dashboards, along with the\nworkings of visualizations present on the dashboards, to fill the user’s knowledge gap.\nWe created a process model for dashboard onboarding that formalizes and unifies different onboarding strategies for dashboards and facilitates the design and implementation of new\nonboarding approaches. Using this process model as a base and drawing inspiration from the fields of data storytelling and open-world game design, we developed an approach for\ncrafting semi-automated interactive dashboard tours (D-Tours) to produce an onboarding experience tailored to individual users while preserving their agency. We implemented\nthis concept in a tool called D-Tour Prototype which allows authors to create D-Tours from scratch or using automatic templates. Finally, we provide future directions based\non the insights from this thesis to explore the role of AI in the design and development of dashboard onboarding.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 717,
            "image_height": 624,
            "name": "Dhanoa2024-image.JPG",
            "type": "image/jpeg",
            "size": 57594,
            "path": "Publication:Dhanoa2024",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1892
        ],
        "co_supervisor": [
            1059
        ],
        "date_end": "2024-09-26",
        "date_start": "2020-10-11",
        "open_access": "yes",
        "reviewer_1": [
            166
        ],
        "rigorosum": "2024-10-01",
        "supervisor": [
            1896
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 717,
                "image_height": 624,
                "name": "Dhanoa2024-image.JPG",
                "type": "image/jpeg",
                "size": 57594,
                "path": "Publication:Dhanoa2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Dhanoa2024-PhD Thesis.pdf",
                "type": "application/pdf",
                "size": 5493271,
                "path": "Publication:Dhanoa2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/Dhanoa2024-PhD Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Dhanoa2024/",
        "__class": "Publication"
    },
    {
        "id": "klaffenboeck-2024-rva",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/209323",
        "title": "RSVP for VPSA : A Meta Design Study on Rapid Suggestive Visualization Prototyping for Visual Parameter Space Analysis",
        "date": "2024-09-12",
        "abstract": "Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view visualizations designed by visualization experts for a specific scenario, making it hard for domain scientists to adapt them to their problems without professional help. We present RSVP, the Rapid Suggestive Visualization Prototyping system encoding VPSA knowledge to enable domain scientists to prototype custom visualization dashboards tailored to their specific needs. The system implements a task-oriented, multi-view visualization recommendation strategy over a visualization design space optimized for VPSA to guide users in meeting their analytical demands. We derived the VPSA knowledge implemented in the system by conducting an extensive meta design study over the body of work on VPSA. We show how this process can be used to perform a data and task abstraction, extract a common visualization design space, and derive a task-oriented VisRec strategy. User studies indicate that the system is user-friendly and can uncover novel insights.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 586,
            "image_height": 568,
            "name": "klaffenboeck-2024-rva-image.png",
            "type": "image/png",
            "size": 169141,
            "path": "Publication:klaffenboeck-2024-rva",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1598,
            5247,
            1072,
            193,
            196
        ],
        "doi": "10.1109/TVCG.2024.3431930",
        "first_published": "2024-09-12",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages": "18",
        "publisher": "IEEE COMPUTER SOC",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "input-output model",
            "literature analysis",
            "mixed-initiative system",
            "unobtrusive visualization recommendation",
            "user study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 586,
                "image_height": 568,
                "name": "klaffenboeck-2024-rva-image.png",
                "type": "image/png",
                "size": 169141,
                "path": "Publication:klaffenboeck-2024-rva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "klaffenboeck-2024-rva-paper.pdf",
                "type": "application/pdf",
                "size": 12681537,
                "path": "Publication:klaffenboeck-2024-rva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/klaffenboeck-2024-rva-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/klaffenboeck-2024-rva/",
        "__class": "Publication"
    },
    {
        "id": "wolf-2024-jhd",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Joint Human-Machine Data Exploration Sandbox",
        "date": "2024-09",
        "abstract": "Data analysis exploration is becoming increasingly challenging as datasets grow in scale and complexity. The Joint Human-Machine Data Exploration (JDE) framework offers a novel solution for analyzing large, unstructured datasets by integrating human insight with machine learning. The framework facilitates dynamic user interaction and visual exploration through three interconnected views: the data view, frame view, and knowledge view. These views enable users to align data exploration with evolving knowledge models. Implemented as a flexible, modular system using a client-server architecture, the JDE framework supports interactive data manipulation and real-time feedback. This project developed a functional prototype, the JDE sandbox, showcasing the system's potential for enhancing exploratory data analysis. Future work will focus on expanding the framework's capabilities and improving accessibility for a broader audience.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 7680,
            "image_height": 3915,
            "name": "wolf-2024-jhd-teaser.png",
            "type": "image/png",
            "size": 2648227,
            "path": "Publication:wolf-2024-jhd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5238
        ],
        "date_end": "2024-09",
        "date_start": "2023-09",
        "matrikelnr": "00925239",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://gitlab.tuwien.ac.at/e193-02-jde/jde-sandbox",
                "caption": "GitLab",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://sandbox.jde.cg.tuwien.ac.at/sandbox",
                "caption": "demo",
                "description": "Online demo of the sandbox",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wolf-2024-jhd-report.pdf",
                "type": "application/pdf",
                "size": 8752213,
                "path": "Publication:wolf-2024-jhd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 7680,
                "image_height": 3915,
                "name": "wolf-2024-jhd-teaser.png",
                "type": "image/png",
                "size": 2648227,
                "path": "Publication:wolf-2024-jhd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/wolf-2024-jhd-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wolf-2024-jhd/",
        "__class": "Publication"
    },
    {
        "id": "hoffer-toth-com",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CycleSafely on mobile",
        "date": "2024-08-12",
        "abstract": "SFA3D:\n\nZeitplan: Auf Mobile portiert bis Ende März / Anfang April.\n\nSAF3D ist mit Pytorch implementiert worden. Folgende Möglichkeiten gibt es um Pytorch Modelle auf Mobile/Android zu portieren:\n\n- Pytorch Mobile: https://pytorch.org/mobile/home/\n\n- Pytorch Flutter Plugins: https://pub.dev/packages/flutter_pytorch oder https://pub.dev/packages/pytorch_mobile\n\n- Deep Java Library: https://djl.ai/\n\n \n\n3D-Multi-Object-Tracker:\n\nZeitplan: Auf Mobile implementiert bis Ende April.\n\nDa 3DMOT ein non-ml Algorithmus ist, kann er in der dann gewählten Sprache implementiert werden.\n\n \n\nPrecog:\n\nZeitplan: Auf Mobile portiert bis Ende Mai.\n\nPrecog habe ich leider nicht zum Laufen bekommen, da ich nicht alle Daten gefunden habe bzw. nicht sicher war welche benötigt werden und wie sie konfiguriert werden sollen.\n\nPrecog verwendet Tensorflow. Dazu habe ich folgendes gefunden:\n\n- Tensorflow Lite: https://www.tensorflow.org/lite\n\n- Tflite Flutter: https://pub.dev/packages/tflite_flutter\n\n \n\nVergleich zwischen Server und Mobile:\n\nZeitplan: Server und Mobile werden Anfang Juni verglichen, wenn bis dahin alles nach Plan läuft.\n\n \n\nSchriftliche Arbeit:\n\nZeitplan: Mit dem Schreiben wird nach dem Vergleichen angefangen und dafür kann der Rest von Juni verwendet werden. Falls sich eines der Schritte herauszögert, dann kann ich die vorlesungsfreie Zeit im Sommer auch verwenden.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 614,
            "image_height": 613,
            "name": "hoffer-toth-com-image.png",
            "type": "image/png",
            "size": 164978,
            "path": "Publication:hoffer-toth-com",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5353
        ],
        "date_end": "2024-08-12",
        "date_start": "2024-03-11",
        "matrikelnr": "12122086",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "bicycle",
            "mobile",
            "scanning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 614,
                "image_height": 613,
                "name": "hoffer-toth-com-image.png",
                "type": "image/png",
                "size": 164978,
                "path": "Publication:hoffer-toth-com",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hoffer-toth-com-thesis.pdf",
                "type": "application/pdf",
                "size": 6093633,
                "path": "Publication:hoffer-toth-com",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/hoffer-toth-com-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/hoffer-toth-com/",
        "__class": "Publication"
    },
    {
        "id": "goel-2024-rdr",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/204000",
        "title": "Real-Time Decompression and Rasterization of Massive Point Clouds",
        "date": "2024-08-09",
        "abstract": "Large-scale capturing of real-world scenes as 3D point clouds (e.g., using LIDAR scanning) generates billions of points that are challenging to visualize. High storage requirements prevent the quick and easy inspection of captured datasets on user-grade hardware. The fastest real-time rendering methods are limited by the available GPU memory and render only around 1 billion points interactively. We show that we can achieve state-of-the-art in both while simultaneously supporting datasets that surpass the capabilities of other methods. We present an on-the-fly point cloud decompression scheme that tightly integrates with software rasterization to reduce on-chip memory requirements by more than 4×. Our method compresses geometry losslessly and provides high visual quality at real-time framerates. We use a GPU-friendly, clipped Huffman encoding for compression. Point clouds are divided into equal-sized batches, which are Huffman-encoded independently. Batches are further subdivided to form easy-to-consume streams of data for massively parallel execution. The compressed point clouds are stored in an access-aware manner to achieve coherent GPU memory access and a high L1 cache hit rate at render time. Our approach can decompress and rasterize up to 120 million Huffman-encoded points per millisecond on-the-fly. We evaluate the quality and performance of our approach on various large datasets against the fastest competing methods. Our approach renders massive 3D point clouds at competitive frame rates and visual quality while consuming significantly less memory, thus unlocking unprecedented performance for the visualization of challenging datasets on commodity GPUs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "cover",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1695,
            "image_height": 961,
            "name": "goel-2024-rdr-cover.jpg",
            "type": "image/jpeg",
            "size": 276042,
            "path": "Publication:goel-2024-rdr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date_from,date_to,event,lecturer,location",
        "repositum_presentation_id": null,
        "authors": [
            5402,
            1116,
            5403,
            1650
        ],
        "articleno": "48",
        "date_from": "2024-06-26",
        "date_to": "2024-06-28",
        "doi": "10.1145/3675373",
        "event": "High Performance Graphics",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            1116
        ],
        "location": "Denver, USA",
        "number": "3",
        "pages": "15",
        "pages_from": "1",
        "pages_to": "15",
        "publisher": "Association for Computing Machinery (ACM)",
        "volume": "7",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "compression",
            "point cloud",
            "rasterization",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "cover",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1695,
                "image_height": 961,
                "name": "goel-2024-rdr-cover.jpg",
                "type": "image/jpeg",
                "size": 276042,
                "path": "Publication:goel-2024-rdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/goel-2024-rdr-cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "d9275"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/goel-2024-rdr/",
        "__class": "Publication"
    },
    {
        "id": "cardoso-2024-r-c",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/209907",
        "title": "Re:Draw - Context Aware Translation as a Controllable Method for Artistic Production",
        "date": "2024-08",
        "abstract": "We introduce context-aware translation, a novel method that combines the benefits of inpainting and image-to-image translation, respecting simultaneously the original input and contextual relevance – where existing methods fall short. By doing so, our method opens new avenues for the controllable use of AI within artistic creation, from animation to digital art.\nAs an use case, we apply our method to redraw any hand-drawn animated character eyes based on any design specifications – eyes serve as a focal point that captures viewer attention and conveys a range of emotions; however, the labor-intensive na-\nture of traditional animation often leads to compromises in the complexity and consistency of eye design. Furthermore, we remove the need for production data for training and introduce a new character recognition method that surpasses existing work\nby not requiring fine-tuning to specific productions.\nThis proposed use case could help maintain consistency throughout production and unlock bolder and\nmore detailed design choices without the production cost drawbacks. A user study shows contextaware translation is preferred over existing work 95.16% of the time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 343,
            "image_height": 294,
            "name": "cardoso-2024-r-c-image.bmp",
            "type": "image/bmp",
            "size": 303462,
            "path": "Publication:cardoso-2024-r-c",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            1639,
            5437,
            1519,
            193
        ],
        "booktitle": "Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24)",
        "date_from": "2024-08-03",
        "date_to": "2024-08-09",
        "doi": "10.24963/ijcai.2024/842",
        "event": "33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)",
        "isbn": "978-1-956792-04-1",
        "lecturer": [
            1639
        ],
        "location": "Jeju Island",
        "pages": "9",
        "pages_from": "7609",
        "pages_to": "7617",
        "publisher": "International Joint Conferences on Artificial Intelligence",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Application domains: Images, movies and visual arts",
            "Application domains: Computer Graphics and Animation",
            "Methods and resources: AI systems for collaboration and co-creation",
            "Methods and resources: Machine learning, deep learning, neural models, reinforcement learning",
            "Theory and philosophy of arts and creativity in AI systems: Social (multi-agent) creativity and human-computer co-creation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 343,
                "image_height": 294,
                "name": "cardoso-2024-r-c-image.bmp",
                "type": "image/bmp",
                "size": 303462,
                "path": "Publication:cardoso-2024-r-c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cardoso-2024-r-c-paper.pdf",
                "type": "application/pdf",
                "size": 2952059,
                "path": "Publication:cardoso-2024-r-c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/cardoso-2024-r-c-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/cardoso-2024-r-c/",
        "__class": "Publication"
    },
    {
        "id": "kerbl-2024-ah3",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/220026",
        "title": "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets",
        "date": "2024-07-19",
        "abstract": "Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting offering an excellent level of visual quality, fast training and real-time rendering. However, the resources needed for training and rendering inevitably limit the size of the captured scenes that can be represented with good visual quality. We introduce a hierarchy of 3D Gaussians that preserves visual quality for very large scenes, while offering an efficient Level-of-Detail (LOD) solution for efficient rendering of distant content with effective level selection and smooth transitions between levels. We introduce a divide-and-conquer approach that allows us to train very large scenes in independent chunks. We consolidate the chunks into a hierarchy that can be optimized to further improve visual quality of Gaussians merged into intermediate nodes. Very large captures typically have sparse coverage of the scene, presenting many challenges to the original 3D Gaussian splatting training method; we adapt and regularize training to account for these issues. We present a complete solution, that enables real-time rendering of very large scenes and can adapt to available resources thanks to our LOD method. We show results for captured scenes with up to tens of thousands of images with a simple and affordable rig, covering trajectories of up to several kilometers and lasting up to one hour.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date_from,date_to,event,lecturer,location",
        "repositum_presentation_id": null,
        "authors": [
            1650,
            5532,
            5372,
            193,
            5373,
            5503
        ],
        "articleno": "62",
        "date_from": "2024-07-28",
        "date_to": "2024-08-01",
        "doi": "10.1145/3658160",
        "event": "ACM SIGGRAPH 2024",
        "issn": "1557-7368",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            5532
        ],
        "location": "Denver, USA",
        "number": "4",
        "pages": "15",
        "pages_from": "1",
        "pages_to": "15",
        "publisher": "ASSOC COMPUTING MACHINERY",
        "volume": "43",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "3d gaussian splatting",
            "level-of-detail",
            "Large Scenes"
        ],
        "weblinks": [
            {
                "href": "https://repo-sam.inria.fr/fungraph/hierarchical-3d-gaussians/",
                "caption": "project page",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kerbl-2024-ah3-paper.pdf",
                "type": "application/pdf",
                "size": 10836570,
                "path": "Publication:kerbl-2024-ah3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/kerbl-2024-ah3-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9275"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kerbl-2024-ah3/",
        "__class": "Publication"
    },
    {
        "id": "koenigsberger-2024-msu",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/206831",
        "title": "Micromechanics stiffness upscaling of plant fiber-reinforced composites",
        "date": "2024-07-15",
        "abstract": "Fiber-reinforced green composites made from natural plant fibers are an increasingly popular sustainable alternative to conventional high-performance composite materials. Given the variety of natural fibers themselves, and the even larger variety of possible composites with specific fiber dosage, fiber orientation distribution, fiber length distribution, and fiber–matrix bond characteristics, micromechanics-based modeling is essential for characterizing the macroscopic response of these composites. Herein, an analytical multiscale micromechanics model for elastic homogenization is developed, capable of capturing the variety. The model features (i) a nanoscopic representation of the natural fibers to predict the fiber stiffness from the universal stiffness of the fiber constituents, mainly cellulose, (ii) a spring-interface model to quantify the compliance of the fiber–matrix bond, and (iii) the ability to model any (and any combination of) orientation distribution and aspect ratio distribution. Validation is performed by comparing the predicted stiffness to experimental results for as many as 73 composites available in the literature. Extensive sensitivity analyses quantify the composite stiffening upon increasing fiber volume fraction, fiber alignment, fiber length, and fiber–matrix interface stiffness, respectively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5423,
            5424,
            5425,
            193,
            5209
        ],
        "articleno": "111571",
        "doi": "10.1016/j.compositesb.2024.111571",
        "issn": "1879-1069",
        "journal": "COMPOSITES PART B-ENGINEERING",
        "open_access": "yes",
        "pages": "20",
        "pages_from": "1",
        "pages_to": "20",
        "publisher": "ELSEVIER SCI LTD",
        "volume": "281",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Biocomposite",
            "Elasticity",
            "Fiber orientation",
            "Multiscale modeling",
            "Natural fibers",
            "Weak interface",
            "Young's modulus"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koenigsberger-2024-msu-paper.pdf",
                "type": "application/pdf",
                "size": 2290463,
                "path": "Publication:koenigsberger-2024-msu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/koenigsberger-2024-msu-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/koenigsberger-2024-msu/",
        "__class": "Publication"
    },
    {
        "id": "Klaus2024",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multidimensional Clustering for Machine Data Analysis",
        "date": "2024-07-11",
        "abstract": "Machine data analysis is an important aspect in modern industrial facilities, as stakeholders want their machinery to be as efficient as possible. To this end, they utilize the IIoT, enabling the analysis of gathered machine data. To gain useful information through the aggregated data, Big Data analytics are invaluable to the domain experts conducting\nmachine data analysis. The insights gained through Big Data analytics allow for a better efficiency of the facility by enabling data-driven decisions.\nThis thesis sets out to explore the feasibility of multidimensional clustering for machine data analysis in a web-based environment. To do this, we developed an application that\ncombines statistical methods and several visualization techniques into a web interface.\nWe evaluated the tool based on its real-world applicability and performance. The developed application has produced promising results, when employed on multivariate time series from industrial machinery, and thereby provides a robust foundation for future improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 917,
            "image_height": 520,
            "name": "Klaus2024-image.JPG",
            "type": "image/jpeg",
            "size": 79072,
            "path": "Publication:Klaus2024",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5376
        ],
        "date_end": "2024-07-11",
        "date_start": "2023-11-11",
        "matrikelnr": "12120487",
        "supervisor": [
            166
        ],
        "research_areas": [
            "NetVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Klaus2024-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 7283210,
                "path": "Publication:Klaus2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 917,
                "image_height": 520,
                "name": "Klaus2024-image.JPG",
                "type": "image/jpeg",
                "size": 79072,
                "path": "Publication:Klaus2024",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/Klaus2024-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/Klaus2024/",
        "__class": "Publication"
    },
    {
        "id": "brandmair-2024-rust",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rust Tutorial",
        "date": "2024-07",
        "abstract": "A 2-day Rust tutorial was prepared and given which introduces the Rust programming language to Computer Graphics students and assistants. Its contents are based on Google's \"Comprehensive Rust\" tutorial, trimmed down to two days, and adapted to the target audience (expected to have a solid background in systems programming and a strong background in graphics programming).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2048,
            "image_height": 1024,
            "name": "brandmair-2024-rust-image.jpg",
            "type": "image/jpeg",
            "size": 136698,
            "path": "Publication:brandmair-2024-rust",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5377
        ],
        "date_end": "2024-07",
        "date_start": "2024-06",
        "matrikelnr": "12024754",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Rust",
            "Systems Programming",
            "Tutorial"
        ],
        "weblinks": [
            {
                "href": "https://github.com/stefnotch/rust-tutorial",
                "caption": "Rust Tutorial on GitHub",
                "description": "A Rust tutorial, based and adapted from Google's Comprehensive Rust tutorial",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2048,
                "image_height": 1024,
                "name": "brandmair-2024-rust-image.jpg",
                "type": "image/jpeg",
                "size": 136698,
                "path": "Publication:brandmair-2024-rust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-image:thumb{{size}}.png"
            },
            {
                "description": "Partial video recording of day 1, forenoon",
                "filetitle": "video recording 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandmair-2024-rust-video recording 1.mp4",
                "type": "video/mp4",
                "size": 127989764,
                "path": "Publication:brandmair-2024-rust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 1:video.mp4"
            },
            {
                "description": "Partial video recording of day 1, afternoon",
                "filetitle": "video recording 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandmair-2024-rust-video recording 2.mp4",
                "type": "video/mp4",
                "size": 83261837,
                "path": "Publication:brandmair-2024-rust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 2:video.mp4"
            },
            {
                "description": "Partial video recording of day 2, forenoon",
                "filetitle": "video recording 3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandmair-2024-rust-video recording 3.mp4",
                "type": "video/mp4",
                "size": 326893062,
                "path": "Publication:brandmair-2024-rust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/brandmair-2024-rust-video recording 3:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/brandmair-2024-rust/",
        "__class": "Publication"
    },
    {
        "id": "melcher-2024-asi",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Acoustics Simulation in the Browser - Making Roommode Calculation with the Finite Element Method Accessible for Non-Experts",
        "date": "2024-06-27",
        "abstract": "Rooms that are used for communication or entertainment need suitable room acoustics.\nOften acoustics simulation is a fundamental part of the design of such rooms. While\nexpensive and/or hard to use software packages exist that have a wide range of scientific\napplications, cheap and easy to use possibilities have not been available in the past.\nIn the course of this work, a prototype was developed that aims to simplify the specific\nuse case of calculating and visualizing room modes, a specific undesirable phenomenon in\nroom acoustics.\nIf possible, meaningful values are automatically assumed without user input. High\nautomation and good user guidance are the focus.\nInterviews with test users have shown that not only do they manage to visualize room\nmodes without instruction, but also that they only need 1-2 minutes during their first\nuse to obtain their first calculation result.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "melcher-2024-asi-image.png",
            "type": "image/png",
            "size": 206234,
            "path": "Publication:melcher-2024-asi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5447
        ],
        "date_end": "2024-06",
        "date_start": "2024-01",
        "matrikelnr": "00004876",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor-thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "melcher-2024-asi-bachelor-thesis.pdf",
                "type": "application/pdf",
                "size": 2621026,
                "path": "Publication:melcher-2024-asi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-bachelor-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-bachelor-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "melcher-2024-asi-image.png",
                "type": "image/png",
                "size": 206234,
                "path": "Publication:melcher-2024-asi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/melcher-2024-asi-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/melcher-2024-asi/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2024-ieo",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/199161",
        "title": "Investigating the Effect of Operation Mode and Manifestation on Physicalizations of Dynamic Processes",
        "date": "2024-06",
        "abstract": "We conducted a study to systematically investigate the communication of complex dynamic processes along a two-dimensional design space, where the axes represent a representation's manifestation (physical or virtual) and operation (manual or automatic). We exemplify the design space on a model embodying cardiovascular pathologies, represented by a mechanism where a liquid is pumped into a draining vessel, with complications illustrated through modifications to the model. The results of a mixed-methods lab study with 28 participants show that both physical manifestation and manual operation have a strong positive impact on the audience's engagement. The study does not show a measurable knowledge increase with respect to cardiovascular pathologies using manually operated physical representations. However, subjectively, participants report a better understanding of the process—mainly through non-visual cues like haptics, but also auditory cues. The study also indicates an increased task load when interacting with the process, which, however, seems to play a minor role for the participants. Overall, the study shows a clear potential of physicalization for the communication of complex dynamic processes, which only fully unfold if observers have to chance to interact with the process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2634,
            "image_height": 1232,
            "name": "pahr-2024-ieo-teaser.png",
            "type": "image/png",
            "size": 172079,
            "path": "Publication:pahr-2024-ieo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date_from,date_to,event,lecturer,pages_from,pages_to",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1850,
            1464,
            1110,
            1410
        ],
        "articleno": "e15106",
        "date_from": "2024-06-27",
        "date_to": "2024-06-31",
        "doi": "10.1111/cgf.15106",
        "event": "EUROVIS",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1813
        ],
        "number": "3",
        "pages": "12",
        "pages_from": "1",
        "pages_to": "12",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [
            "InfoVis",
            "MedVis",
            "Perception"
        ],
        "keywords": [
            "Data Physicalization",
            "Study",
            "Cardiovascular Diseases",
            "Edutainment",
            "Human Computer Interaction (HCI)",
            "Mixed Methods"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2634,
                "image_height": 1232,
                "name": "pahr-2024-ieo-teaser.png",
                "type": "image/png",
                "size": 172079,
                "path": "Publication:pahr-2024-ieo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/pahr-2024-ieo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pahr-2024-ieo/",
        "__class": "Publication"
    },
    {
        "id": "marin-2024-rcf",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/202374",
        "title": "Reconstructing Curves from Sparse Samples on Riemannian Manifolds",
        "date": "2024-06",
        "abstract": "Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive attention, primarily relying on human assistance, and where not, limited by very strict sampling conditions. In this work, we formally improve on the state-of-the-art requirements and introduce an innovative algorithm capable of reconstructing closed curves directly on surfaces from a given sparse set of sample points. We extend and adapt a state-of-the-art planar curve reconstruction method to the realm of surfaces while dealing with the challenges arising from working on non-Euclidean domains. We demonstrate the robustness of our method by reconstructing multiple curves on various surface meshes. We explore novel potential applications of our approach, allowing for automated reconstruction of curves on Riemannian manifolds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "marin-2024-rcf-image.png",
            "type": "image/png",
            "size": 706684,
            "path": "Publication:marin-2024-rcf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date_from,date_to,event,lecturer,location,pages_from,pages_to",
        "repositum_presentation_id": "20.500.12708/202064",
        "authors": [
            1848,
            5388,
            5389,
            948,
            193
        ],
        "articleno": "e15136",
        "date_from": "2024-06-24",
        "date_to": "2024-06-26",
        "doi": "10.1111/cgf.15136",
        "event": "Symposium on Geometry Processing",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1848
        ],
        "location": "Boston",
        "number": "5",
        "pages": "14",
        "pages_from": "-",
        "pages_to": "-",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Graph algorithms",
            "Mesh geometry models",
            "Paths and connectivity problems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "marin-2024-rcf-image.png",
                "type": "image/png",
                "size": 706684,
                "path": "Publication:marin-2024-rcf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/marin-2024-rcf-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-rcf/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2024-inv",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampling and reconstructing point clouds",
        "date": "2024-05-28",
        "abstract": "Curve and surface reconstruction from unstructured points represent a fundamental problem in computer graphics and computer vision, with many applications. The quest for better solutions for this ill-posed problem is riddled with various kinds of artifacts such as noise, outliers, and missing data.\n\nMoreover, the reconstruction problem usually implies further input requirements: how many samples do we need for a successful reconstruction, what properties should these samples satisfy and how can we obtain such sets. And once we obtain these point samples, how can we extract connectivity that best approximates the initial surface they have been sampled from?\n\nWe will discuss about various sampling strategies, corresponding reconstruction methods, with multiple applications in automating sketch coloring, adaptive meshing for faster simulations, and cultural heritage.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1310,
            "image_height": 596,
            "name": "ohrhallinger_stefan-2024-inv-image.png",
            "type": "image/png",
            "size": 762834,
            "path": "Publication:ohrhallinger_stefan-2024-inv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1848
        ],
        "event": "TU Graz",
        "location": "Graz",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve reconstruction",
            "surface reconstruction",
            "sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1310,
                "image_height": 596,
                "name": "ohrhallinger_stefan-2024-inv-image.png",
                "type": "image/png",
                "size": 762834,
                "path": "Publication:ohrhallinger_stefan-2024-inv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/ohrhallinger_stefan-2024-inv-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ohrhallinger_stefan-2024-inv/",
        "__class": "Publication"
    },
    {
        "id": "matt-2024-cvil",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/199888",
        "title": "cVIL: Class-Centric Visual Interactive Labeling",
        "date": "2024-05-27",
        "abstract": "We present cVIL, a class-centric approach to visual interactive labeling, which facilitates human annotation of large and complex image data sets. cVIL uses different property measures to support instance labeling for labeling difficult instances and batch labeling to quickly label easy instances. Simulated experiments reveal that cVIL with batch labeling can outperform traditional labeling approaches based on active learning. In a user study, cVIL led to better accuracy and higher user preference compared to a traditional instance-based visual interactive labeling approach based on 2D scatterplots.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot of cVIL as employed in the user study",
            "filetitle": "cVIL teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1104,
            "image_height": 449,
            "name": "matt-2024-cvil-cVIL teaser.png",
            "type": "image/png",
            "size": 293869,
            "path": "Publication:matt-2024-cvil",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "abstract,projects,open_access",
        "repositum_presentation_id": null,
        "authors": [
            5263,
            5370,
            1110
        ],
        "booktitle": "Eurographics Proceedings",
        "date_from": "2024-05-27",
        "date_to": "2024-05-27",
        "doi": "10.2312/eurova.20241113",
        "editor": "El-Assady, Mennatallah and Schulz, Hans-Jorg",
        "event": "EuroVis Workshop on Visual Analytics (EuroVA 2024)",
        "isbn": "978-3-03868-056-7",
        "lecturer": [
            5263
        ],
        "location": "Aarhus",
        "open_access": "yes",
        "pages": "6",
        "publisher": "Eurographics",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Visual Analytics",
            "Interactive Machine Learning",
            "User Interface Design"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/server/api/core/bitstreams/c18fafcc-b4b4-4e51-bd2f-cec056c6d93a/content",
                "caption": "paper",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://gitlab.tuwien.ac.at/e193-02-jde/lava",
                "caption": "GitLab",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Screenshot of cVIL as employed in the user study",
                "filetitle": "cVIL teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1104,
                "image_height": 449,
                "name": "matt-2024-cvil-cVIL teaser.png",
                "type": "image/png",
                "size": 293869,
                "path": "Publication:matt-2024-cvil",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/matt-2024-cvil-cVIL teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvil/",
        "__class": "Publication"
    },
    {
        "id": "lipp-2024-val",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/203067",
        "title": "View-Independent Adjoint Light Tracing for Lighting Design Optimization",
        "date": "2024-05-22",
        "abstract": "Differentiable rendering methods promise the ability to optimize various parameters of three-dimensional (3D) scenes to achieve a desired result. However, lighting design has so far received little attention in this field. In this article, we introduce a method that enables continuous optimization of the arrangement of luminaires in a 3D scene via differentiable light tracing. Our experiments show two major issues when attempting to apply existing methods from differentiable path tracing to this problem: First, many rendering methods produce images, which restricts the ability of a designer to define lighting objectives to image space. Second, most previous methods are designed for scene geometry or material optimization and have not been extensively tested for the case of optimizing light sources. Currently available differentiable ray-tracing methods do not provide satisfactory performance, even on fairly basic test cases in our experience. In this article, we propose, to the best of our knowledge, a novel adjoint light tracing method that overcomes these challenges and enables gradient-based lighting design optimization in a view-independent (camera-free) way. Thus, we allow the user to paint illumination targets directly onto the 3D scene or use existing baked illumination data (e.g., light maps). Using modern ray-tracing hardware, we achieve interactive performance. We find light tracing advantageous over path tracing in this setting, as it naturally handles irregular geometry, resulting in less noise and improved optimization convergence. We compare our adjoint gradients to state-of-the-art image-based differentiable rendering methods. We also demonstrate that our gradient data works with various common optimization algorithms, providing good convergence behaviour. Qualitative comparisons with real-world scenes underline the practical applicability of our method.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "preview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1469,
            "image_height": 1228,
            "name": "lipp-2024-val-preview.jpg",
            "type": "image/jpeg",
            "size": 264705,
            "path": "Publication:lipp-2024-val",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png"
        },
        "sync_repositum_override": "event,lecturer",
        "repositum_presentation_id": null,
        "authors": [
            1525,
            1946,
            1949,
            1063,
            193
        ],
        "articleno": "35",
        "doi": "10.1145/3662180",
        "event": "SIGGRAPH 2024",
        "issn": "1557-7368",
        "journal": "ACM Transactions on Graphics",
        "number": "3",
        "open_access": "yes",
        "pages": "16",
        "publisher": "ASSOC COMPUTING MACHINERY",
        "volume": "43",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "differentiable rendering",
            "global illumination",
            "Lighting design",
            "optimization",
            "ray tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1469,
                "image_height": 1228,
                "name": "lipp-2024-val-preview.jpg",
                "type": "image/jpeg",
                "size": 264705,
                "path": "Publication:lipp-2024-val",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/lipp-2024-val-preview:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lipp-2024-val/",
        "__class": "Publication"
    },
    {
        "id": "eichner-2024-erv",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Effizientes Rendern von Wäldern mittels Gruppierter Detailgrade in 3D-Geoinformationssystemen",
        "date": "2024-05-15",
        "abstract": "Interactive visualization is important for many workflows. Especially so in the context\nof 3D geo-informations systems, where large quantities of data have to be processed\nand presented to the user at interactive speeds for productivity and orientation in the\ngeo-spatial context. In heavily forested countries like Austria enormous amounts of\ngeometry have to be drawn when visualizing forests. Naïve rendering approaches fail,\neven when using heavily simplified geometry for the individual trees. The region in which\ndetails are necessary is small and changes frequently. A major part of the scene is far\naway and needs little detail. These constraints are what this thesis attempts to find a\nsolution for. Thus each tree is represented by a billboard, if not close to the camera. To\ndecrease the computational complexity of selecting the appropriate level of detail for all\ntrees, they are grouped into batches, for which frustum culling and level of detail selection\nhappens. This new approach is implemented, qualitatively evaluated, and compared with\nexisting alternative approaches. Comparison of the approaches on a stress test scene\nshows that our new approach can be between 1.7 and 6 times faster than the approaches\ntested against depending on the scenario, while barely reducing visual quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "eichner-2024-erv-image.png",
            "type": "image/png",
            "size": 984848,
            "path": "Publication:eichner-2024-erv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5448
        ],
        "date_end": "2024-05",
        "date_start": "2024-01",
        "matrikelnr": "11808244",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor-thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "eichner-2024-erv-bachelor-thesis.pdf",
                "type": "application/pdf",
                "size": 6457572,
                "path": "Publication:eichner-2024-erv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-bachelor-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-bachelor-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "eichner-2024-erv-image.png",
                "type": "image/png",
                "size": 984848,
                "path": "Publication:eichner-2024-erv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/eichner-2024-erv-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eichner-2024-erv/",
        "__class": "Publication"
    },
    {
        "id": "papantonakis-2024-rmf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/198651",
        "title": "Reducing the Memory Footprint of 3D Gaussian Splatting",
        "date": "2024-05-13",
        "abstract": "3D Gaussian splatting provides excellent visual quality for novel view synthesis, with fast training and realtime rendering; unfortunately, the memory requirements of this method for storing and transmission are unreasonably high. We first analyze the reasons for this, identifying three main areas where storage can be reduced: the number of 3D Gaussian primitives used to represent a scene, the number of coefficients for the spherical harmonics used to represent directional radiance, and the precision required to store Gaussian primitive attributes. We present a solution to each of these issues. First, we propose an efficient, resolution-aware primitive pruning approach, reducing the primitive count by half. Second, we introduce an adaptive adjustment method to choose the number of coefficients used to represent directional radiance for each Gaussian primitive, and finally a codebook-based quantization method, together with a half-float representation for further memory reduction. Taken together, these three components result in a x27 reduction in overall size on disk on the standard datasets we tested, along with a x1.7 speedup in rendering speed. We demonstrate our method on standard datasets and show how our solution results in significantly reduced download times when using the method on a mobile device (see Fig. 1).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5371,
            5372,
            1650,
            5373,
            803
        ],
        "articleno": "16",
        "doi": "10.1145/3651282",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "number": "1",
        "pages": "17",
        "pages_from": "1",
        "pages_to": "17",
        "publisher": "Association for Computing Machinery (ACM)",
        "volume": "7",
        "research_areas": [],
        "keywords": [
            "3D gaussian splatting",
            "memory reduction",
            "novel view synthesis",
            "radiance fields"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d9275",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/papantonakis-2024-rmf/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2024-SIMLOD",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/208716",
        "title": "SimLOD: Simultaneous LOD Generation and Rendering for Point Clouds",
        "date": "2024-05-13",
        "abstract": "LOD construction is typically implemented as a preprocessing step that requires users to wait before they are able to view the results in real time. We propose an incremental LOD generation approach for point clouds that allows us to simultaneously load points from disk, update an octree-based level-of-detail representation, and render the intermediate results in real time while additional points are still being loaded from disk. LOD construction and rendering are both implemented in CUDA and share the GPU’s processing power, but each incremental update is lightweight enough to leave enough time to maintain real-time frame rates. Our approach is able to stream points from an SSD and update the octree on the GPU at rates of up to 580 million points per second (~9.3GB/s) on an RTX 4090 and a PCIe 5.0 SSD. Depending on the data set, our approach spends an average of about 1 to 2 ms to incrementally insert 1 million points into the octree, allowing us to insert several million points per frame into the LOD structure and render the intermediate results within the same frame.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.",
            "filetitle": "SimLOD",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1911,
            "image_height": 1072,
            "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg",
            "type": "image/jpeg",
            "size": 323598,
            "path": "Publication:SCHUETZ-2024-SIMLOD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png"
        },
        "sync_repositum_override": "event",
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1857,
            193
        ],
        "articleno": "17",
        "date_from": "2023-05",
        "date_to": "2023-05",
        "doi": "10.1145/3651287",
        "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2024",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            1116
        ],
        "note": "Source Code: https://github.com/m-schuetz/SimLOD",
        "number": "1",
        "open_access": "yes",
        "pages": "20",
        "publisher": "Association for Computing Machinery (ACM)",
        "volume": "7",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "LOD",
            "real-time rendering",
            "Point Cloud Rendering",
            "rasterization",
            "Octree"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2024-SIMLOD-paper.pdf",
                "type": "application/pdf",
                "size": 5928589,
                "path": "Publication:SCHUETZ-2024-SIMLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-paper:thumb{{size}}.png"
            },
            {
                "description": "Rendered Point Cloud to the left and points/voxels colored by the containing octree node to the right.",
                "filetitle": "SimLOD",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1911,
                "image_height": 1072,
                "name": "SCHUETZ-2024-SIMLOD-SimLOD.jpg",
                "type": "image/jpeg",
                "size": 323598,
                "path": "Publication:SCHUETZ-2024-SIMLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/SCHUETZ-2024-SIMLOD-SimLOD:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9275",
            "d4386"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/SCHUETZ-2024-SIMLOD/",
        "__class": "Publication"
    },
    {
        "id": "rasoulzadeh-2024-strokes2surface",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/208007",
        "title": "Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches",
        "date": "2024-05",
        "abstract": "We present Strokes2Surface, an offline geometry reconstruction pipeline that recovers well-connected curve networks from imprecise 4D sketches to bridge concept design and digital modeling stages in architectural design. The input to our pipeline consists of 3D strokes' polyline vertices and their timestamps as the 4th dimension, along with additional metadata recorded throughout sketching. Inspired by architectural sketching practices, our pipeline combines a classifier and two clustering models to achieve its goal. First, with a set of extracted hand-engineered features from the sketch, the classifier recognizes the type of individual strokes between those depicting boundaries (Shape strokes) and those depicting enclosed areas (Scribble strokes). Next, the two clustering models parse strokes of each type into distinct groups, each representing an individual edge or face of the intended architectural object. Curve networks are then formed through topology recovery of consolidated Shape clusters and surfaced using Scribble clusters guiding the cycle discovery. Our evaluation is threefold: We confirm the usability of the Strokes2Surface pipeline in architectural design use cases via a user study, we validate our choice of features via statistical analysis and ablation studies on our collected dataset, and we compare our outputs against a range of reconstructions computed using alternative methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5233,
            193,
            5429,
            1799
        ],
        "articleno": "e15054",
        "doi": "10.1111/cgf.15054",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "2",
        "pages": "16",
        "pages_from": "1",
        "pages_to": "16",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Computer graphics",
            "Computing methodologies → Artificial intelligence",
            "Machine learning"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rasoulzadeh-2024-strokes2surface/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2024-fropo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/199275",
        "title": "Fast Rendering of Parametric Objects on Modern GPUs",
        "date": "2024-05",
        "abstract": "Parametric functions are an extremely efficient representation for 3D geometry, capable of compactly modelling highly complex objects. Once specified, parametric 3D objects allow for visualization at arbitrary levels of detail, at no additional memory cost, limited only by the amount of evaluated samples. However, mapping the sample evaluation to the hardware rendering pipelines of modern graphics processing units (GPUs) is not trivial. This has given rise to several specialized solutions, each targeting interactive rendering of a constrained set of parametric functions. In this paper, we propose a general method for efficient rendering of parametrically defined 3D objects. Our solution is carefully designed around modern hardware architecture. Our method adaptively analyzes, allocates and evaluates parametric function samples to produce high-quality renderings. Geometric precision can be modulated from few pixels down to sub-pixel level, enabling real-time frame rates of several 100 frames per second (FPS) for various parametric functions. We propose a dedicated level-of-detail (LOD) stage, which outputs patches of similar geometric detail to a subsequent rendering stage that uses either a hardware tessellation-based approach or performs point-based softare rasterization. Our method requires neither preprocessing nor caching, and the proposed LOD mechanism is fast enough to run each frame. Hence, our approach also lends itself to animated parametric objects. We demonstrate the benefits of our method over a state-of-the-art spherical harmonics (SH) glyph rendering method, while showing its flexibility on a range of other demanding shapes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser image, different parametric objects",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1440,
            "image_height": 1364,
            "name": "unterguggenberger-2024-fropo-image.png",
            "type": "image/png",
            "size": 2235242,
            "path": "Publication:unterguggenberger-2024-fropo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            848,
            1525,
            193,
            1650,
            1116
        ],
        "booktitle": "EGPGV24: Eurographics Symposium on Parallel Graphics and Visualization",
        "date_from": "2024-05-27",
        "date_to": "2024-05-27",
        "doi": "10.2312/pgv.20241129",
        "event": "Eurographics Symposium on Parallel Graphics and Visualization (2024)",
        "isbn": "978-3-03868-243-1",
        "lecturer": [
            848
        ],
        "location": "Odense",
        "open_access": "yes",
        "pages": "12",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Tessellation Shaders",
            "Point-Based Rendering",
            "Parametric Objects",
            "Fast Rendering",
            "Modern GPUs"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/FastRenderingOfParametricObjects",
                "caption": "FastRenderingOfParametricObjects",
                "description": "Source Code on GitHub",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Teaser image, different parametric objects",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1440,
                "image_height": 1364,
                "name": "unterguggenberger-2024-fropo-image.png",
                "type": "image/png",
                "size": 2235242,
                "path": "Publication:unterguggenberger-2024-fropo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-image:thumb{{size}}.png"
            },
            {
                "description": "Published Paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2024-fropo-paper.pdf",
                "type": "application/pdf",
                "size": 17591180,
                "path": "Publication:unterguggenberger-2024-fropo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/unterguggenberger-2024-fropo-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9275",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/unterguggenberger-2024-fropo/",
        "__class": "Publication"
    },
    {
        "id": "kovacs-2024-smt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/200040",
        "title": "Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs",
        "date": "2024-05",
        "abstract": "Mesh texture synthesis is a key component in the automatic generation of 3D content. Existing learning-based methods have drawbacks—either by disregarding the shape manifold during texture generation or by requiring a large number of different views to mitigate occlusion-related inconsistencies. In this paper, we present a novel surface-aware approach for mesh texture synthesis that overcomes these drawbacks by leveraging the pre-trained weights of 2D Convolutional Neural Networks (CNNs) with the same architecture, but with convolutions designed for 3D meshes. Our proposed network keeps track of the oriented patches surrounding each texel, enabling seamless texture synthesis and retaining local similarity to classical 2D convolutions with square kernels. Our approach allows us to synthesize textures that account for the geometric content of mesh surfaces, eliminating discontinuities and achieving comparable quality to 2D image synthesis algorithms. We compare our approach with state-of-the-art methods where, through qualitative and quantitative evaluations, we demonstrate that our approach is more effective for a variety of meshes and styles, while also producing visually appealing and consistent textures on meshes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1950,
            1919,
            1410
        ],
        "articleno": "e15016",
        "doi": "10.1111/cgf.15016",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "2",
        "pages": "13",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "Deep learning (DL)",
            "Computer Graphics",
            "Texture Synthesis"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kovacs-2024-smt/",
        "__class": "Publication"
    },
    {
        "id": "dworschak-2024-aml",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Alpine Maps Labels",
        "date": "2024-04-03",
        "abstract": "The goal of this project was to receive mountain peak names from a vector tile server, process this information and visualize them on the AlpineMapsOrg application. Initially we\nagreed on using basemap as the vector tile provider but after encountering some problems (mentioned below), we switched to a custom tile server approach that we developed to fill\nour needs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2256,
            "image_height": 1577,
            "name": "dworschak-2024-aml-teaser.png",
            "type": "image/png",
            "size": 5789426,
            "path": "Publication:dworschak-2024-aml",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1353
        ],
        "date_end": "2023-04",
        "date_start": "2023-12",
        "matrikelnr": "01225883",
        "supervisor": [
            1110,
            1013
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/AlpineMapsOrg/renderer",
                "caption": "Repository",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://alpinemapsorg.github.io/renderer/wasm_singlethread/alpineapp.html",
                "caption": "Demo",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "developer documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dworschak-2024-aml-developer documentation.pdf",
                "type": "application/pdf",
                "size": 525967,
                "path": "Publication:dworschak-2024-aml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-developer documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-developer documentation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dworschak-2024-aml-report.pdf",
                "type": "application/pdf",
                "size": 3084811,
                "path": "Publication:dworschak-2024-aml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2256,
                "image_height": 1577,
                "name": "dworschak-2024-aml-teaser.png",
                "type": "image/png",
                "size": 5789426,
                "path": "Publication:dworschak-2024-aml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/dworschak-2024-aml-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/dworschak-2024-aml/",
        "__class": "Publication"
    },
    {
        "id": "heim-2024-accustripes",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/197495",
        "title": "AccuStripes: Visual exploration and comparison of univariate data distributions using color and binning",
        "date": "2024-04",
        "abstract": "Understanding and analyzing univariate distributions of data in terms of their shapes as well as their specific characteristics, regarding gaps, spikes, or outliers, is crucial in many scientific disciplines. In this paper, we propose a design space composed of the visual channels position and color for representing accumulated distributions. The designs are a mixture of color-coded stripes with density lines. The width and coloring of the stripes is based on the applied binning technique. In a crowd-sourced experiment we explore a subspace, called the AccuStripes (i.e., “accumulated stripes”) design space, consisting of nine representations. These AccuStripes designs integrate three composition strategies (color only, overlay, filled curve) with three binning techniques, one uniform (UB) and two adaptive methods, namely Bayesian Blocks (BB) and Jenks’ Natural Breaks (NB). We evaluate the accuracy, efficiency, and confidence ratings of the nine AccuStripes designs for structural estimation and comparison tasks. Across all study tasks, the overlay composition was found to be most accurate and preferred by observers. Furthermore, the results demonstrate that while no binning method performed best in both identification and comparison, detection of structures using adaptive binning was the most accurate one. For validation we compared the best AccuStripes’ design, i.e., the overlay composition, to line charts. Our results show that the AccuStripes’ design outperformed the line charts in accuracy for all study tasks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "AccuStripes - Graphical Abstract",
            "filetitle": "accuStripes",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1333,
            "image_height": 428,
            "name": "heim-2024-accustripes-accuStripes.png",
            "type": "image/png",
            "size": 366335,
            "path": "Publication:heim-2024-accustripes",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1354,
            1355,
            1110,
            166,
            611
        ],
        "articleno": "103906",
        "doi": "10.1016/j.cag.2024.103906",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "119",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Adaptive binning",
            "Crowd-sourced experiment",
            "Univariate data distributions",
            "Visual analysis"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S0097849324000414",
                "caption": "paper",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "AccuStripes - Graphical Abstract",
                "filetitle": "accuStripes",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1333,
                "image_height": 428,
                "name": "heim-2024-accustripes-accuStripes.png",
                "type": "image/png",
                "size": 366335,
                "path": "Publication:heim-2024-accustripes",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/heim-2024-accustripes-accuStripes:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/heim-2024-accustripes/",
        "__class": "Publication"
    },
    {
        "id": "marin-2024-dsr",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": "20.500.12708/201670",
        "title": "Distributed Surface Reconstruction",
        "date": "2024-04",
        "abstract": "Recent advancements in scanning technologies and their rise in availability have shifted the focus from reconstructing surfaces from point clouds of small areas to large, e.g., city-wide scenes, containing massive amounts of data. We adapt a surface reconstruction method to work in a distributed fashion on a high-performance cluster, reconstructing datasets with millions of vertices in seconds by exploiting the locality of the connectivity required by the reconstruction algorithm to efficiently divide-and-conquer the problem of creating triangulations from very large unstructured point clouds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2017,
            "image_height": 1227,
            "name": "marin-2024-dsr-image.png",
            "type": "image/png",
            "size": 3376780,
            "path": "Publication:marin-2024-dsr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            1859,
            948,
            193
        ],
        "booktitle": "EG 2024 - Posters",
        "cfp": {
            "name": "Call for Posters _ EUROGRAPHICS.pdf",
            "type": "application/pdf",
            "error": 0,
            "size": 210661,
            "orig_name": "Call for Posters _ EUROGRAPHICS.pdf",
            "ext": "pdf"
        },
        "date_from": "2024-04-22",
        "date_to": "2024-04-26",
        "doi": "10.2312/egp.20241037",
        "editor": "Liu, Lingjie and Averkiou, Melinos",
        "event": "45th Annual Conference of the European Association for Computer Graphics (Eurographics 2024)",
        "isbn": "978-3-03868-239-4",
        "lecturer": [
            1848
        ],
        "location": "Limassol",
        "pages": "2",
        "research_areas": [],
        "keywords": [
            "Surface Reconstruction",
            "Distributed Computing",
            "Point Clouds",
            "High Performance Computing",
            "delaunay triangulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2017,
                "image_height": 1227,
                "name": "marin-2024-dsr-image.png",
                "type": "image/png",
                "size": 3376780,
                "path": "Publication:marin-2024-dsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2024-dsr-paper.pdf",
                "type": "application/pdf",
                "size": 5699964,
                "path": "Publication:marin-2024-dsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/marin-2024-dsr-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-dsr/",
        "__class": "Publication"
    },
    {
        "id": "steinkellner-2024-dll",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deep Learning for Lighting Evaluation",
        "date": "2024-03-25",
        "abstract": "Lighting has a major impact on the mood of an indoor scene. This plays an important\nrole in interior design. The way a room is lit affects the people in it. While a human\ncan understand this concept and express how a scene feels to them, a computer cannot\nprovide the same type of analysis at the moment. To provide a solution for this, this\nthesis seeks to implement a convolutional neural network to employ deep learning and\nclassify scenes by their lighting mood. To this extent I created a data set consisting\nof images representing different lighting moods. The deep learning technique I used is\ntransfer learning in which an already pre-trained network, in this case VGG16, is used.\nAt first I tried a multi-class approach in which all classes are evaluated by one classifier,\nbut later I moved to a binary classifier structure in which the classifier only learns and\npredicts if an image belongs to one given class or not. This lead to promising results and\nprovides ground to improve upon in future work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thesis-img",
            "main_file": false,
            "use_in_gallery": false,
            "access": "hidden",
            "image_width": 1557,
            "image_height": 775,
            "name": "steinkellner-2024-dll-thesis-img.jpg",
            "type": "image/jpeg",
            "size": 140810,
            "path": "Publication:steinkellner-2024-dll",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis-img.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis-img:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5255
        ],
        "date_end": "2024-03-25",
        "date_start": "2023",
        "matrikelnr": "11705362",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": "BSc Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinkellner-2024-dll-thesis.pdf",
                "type": "application/pdf",
                "size": 6916558,
                "path": "Publication:steinkellner-2024-dll",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/steinkellner-2024-dll-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/steinkellner-2024-dll/",
        "__class": "Publication"
    },
    {
        "id": "wagner-2024-par",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pixel Art Restoration",
        "date": "2024-03-20",
        "abstract": "Games developed in the 8 and 16-bit era of computing used low-resolution images called\nsprites for displaying game worlds and their objects. This art style is often referred to as\nPixel-Art and evolved into its own subgenre of games with new games still getting released\nto this day. While modern Pixel-Art games incorporate the visual fidelity of modern\nLiquid Crystal Display (LCD) monitors into their design, games from the Cathode Ray\nTube (CRT) era often look worse when displayed on an LCD monitor. Understandable,\nsince games at that time were designed to look good on CRT TVs and Monitors which\nfunction in very different ways compared to modern Displays.\nSince the upcoming of retro game console emulators, a lot of effort was put into reproducing\nthe effects of CRT monitors when playing back these old game files on LCD monitors. This\noften requires the use of upscaling algorithms to improve the look of the low-resolution\ngame assets on higher-resolution monitors. Upscaling in general but also tailored towards\nPixel-Art is still an unsolved problem and the focus of many recent publications.\nIn this work, we will explore what effects CRT monitors have on Pixel-Art and how to\nuse this information to guide the upscaling of 8 and 16-bit era Pixel-Art to improve\nvisual fidelity when displayed on modern LCD monitors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1424,
            "image_height": 748,
            "name": "wagner-2024-par-teaser.jpg",
            "type": "image/jpeg",
            "size": 194244,
            "path": "Publication:wagner-2024-par",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5340
        ],
        "date_end": "2024-03-20",
        "date_start": "2023",
        "matrikelnr": "11907095",
        "supervisor": [
            193
        ],
        "research_areas": [
            "InfoVis",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1424,
                "image_height": 748,
                "name": "wagner-2024-par-teaser.jpg",
                "type": "image/jpeg",
                "size": 194244,
                "path": "Publication:wagner-2024-par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wagner-2024-par-thesis.pdf",
                "type": "application/pdf",
                "size": 104824143,
                "path": "Publication:wagner-2024-par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/wagner-2024-par-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wagner-2024-par/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2024-vgs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/196069",
        "title": "Visualizing Group Structure in Compound Graphs: The Current State, Lessons Learned, and Outstanding Opportunities",
        "date": "2024-03-11",
        "abstract": "Compound graphs are common across domains, from social science to biochemical pathway studies, and their visualization is important to both their exploration and analysis. However, effectively visualizing a compound graph's topology and group structure requires careful consideration, as evident by the many different approaches to this particular problem. To better understand the current advancements in compound graph visualization, we have consolidated and streamlined existing surveys' taxonomies. More specifically, we aim to disentangle the visual relationship between graph topology and group structure from the visual encoding used to visualize its group structure in order to identify interesting gaps in the literature. In so doing, we are able to enumerate a number of lessons learned and gain a better understanding of the outstanding research opportunities and practical implications across domains.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1850,
            1848,
            1464,
            1410
        ],
        "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP",
        "date_from": "2024-02-27",
        "date_to": "2024-02-29",
        "doi": "10.5220/0012431200003660",
        "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
        "isbn": "978-989-758-679-8",
        "lecturer": [
            1850
        ],
        "location": "Rom",
        "pages": "12",
        "pages_from": "697",
        "pages_to": "708",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "compound graph visualization",
            "literature survey",
            "group structure visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ehlers-2024-vgs/",
        "__class": "Publication"
    },
    {
        "id": "metzger-2024-smv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/195907",
        "title": "Semantically meaningful vectorization of line art in drawn animation",
        "date": "2024-03",
        "abstract": "Animation consists of sequentially showing multiple single frames with small mutual differences in order to achieve the visual effect of a moving scene. In limited animation, these frames are drawn as semantically meaningful vector images which could be referred to as clean animation frames. There are limited animation workflows in which these clean animation frames are only available in raster format, requiring laborious manual vectorization.This work explores the extent to which line-art image vectorization methods can be used to automatize this process. For this purpose, a line-art image vectorization method is designed by taking into account the structural information about clean animation frames. Together with existing state-of-the-art line-art image vectorization methods, this method is evaluated on a dataset consisting of clean animation frames. The reproducible evaluation shows that the performance of the developed method is remarkably stable across different input image resolution sizes and binarized or non-binarized versions of input images, even outperforming state-of-the-art methods at input images of the default clean animation frame resolution. Furthermore, it is up to 4.5 times faster than the second-fastest deep learning-based method. However, ultimately the evaluation shows that neither the developed method nor existing state-of-the-art methods can produce vector images that achieve both visual similarity and sufficiently semantically correct vector structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1183,
            "image_height": 387,
            "name": "metzger-2024-smv-image.png",
            "type": "image/png",
            "size": 77582,
            "path": "Publication:metzger-2024-smv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            5342
        ],
        "co_supervisor": [
            1639
        ],
        "date_end": "2024-03-11",
        "date_start": "2022-05",
        "diploma_examina": "2024-03-11",
        "doi": "10.34726/hss.2024.102471",
        "matrikelnr": "1454634",
        "open_access": "yes",
        "pages": "198",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Animation",
            "Limited animation",
            "Line art",
            "Image vectorization",
            "Vector graphics",
            "Deep learning",
            "Machine learning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1183,
                "image_height": 387,
                "name": "metzger-2024-smv-image.png",
                "type": "image/png",
                "size": 77582,
                "path": "Publication:metzger-2024-smv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "metzger-2024-smv-thesis.pdf",
                "type": "application/pdf",
                "size": 9139349,
                "path": "Publication:metzger-2024-smv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/metzger-2024-smv-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/metzger-2024-smv/",
        "__class": "Publication"
    },
    {
        "id": "ulschmid-2024-reo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/195927",
        "title": "Real-Time Editing of Path-Traced Scenes with Prioritized Re-Rendering",
        "date": "2024-02",
        "abstract": "With recent developments in GPU ray tracing performance and (AI-accelerated) noise reduction techniques, Monte Carlo Path Tracing at real-time rates becomes a viable solution for interactive 3D scene editing, with growing support in popular software. However, even for minor edits (e.g., adjusting materials or moving small objects), current solutions usually discard previous samples and the image formation process is started from scratch. In this paper, we present two adaptive, priority-based re-rendering techniques with incremental updates, prioritizing the reconstruction of regions with high importance, before gradually moving to less important regions. The suggested methods automatically identify and schedule sampling and accumulation of immediately affected regions. An extensive user study analyzes whether such prioritized renderings are beneficial to interactive scene editing, comparing them with same-time conventional re-rendering. Our evaluation shows that even with simple prio rity policies, there is a significant preference for such incremental rendering techniques for interactive editing of small objects over full-screen re-rendering with denoising.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 378,
            "image_height": 323,
            "name": "ulschmid-2024-reo-teaser.png",
            "type": "image/png",
            "size": 254543,
            "path": "Publication:ulschmid-2024-reo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "booktitle",
        "repositum_presentation_id": null,
        "authors": [
            1954,
            1650,
            1030,
            193
        ],
        "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP and VISIGRAPP",
        "date_from": "2024-02-27",
        "date_to": "2024-02-29",
        "doi": "10.5220/0012324600003660",
        "editor": "Bashford-Rogers, Thomas and Meneveaux, Daniel and Ziat, Mounia and Ammi, Mehdi and Jänicke, Stefan and Purchase, Helen and Bouatouch, Kadi and Sousa, Augusto A.",
        "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
        "isbn": "978-989-758-679-8",
        "lecturer": [
            1954
        ],
        "location": "Rom",
        "note": "Best student paper award",
        "pages": "12",
        "pages_from": "46",
        "pages_to": "57",
        "research_areas": [],
        "keywords": [
            "ray tracing",
            "user study",
            "editing"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Prioritized-ReRendering",
                "caption": "GitHub",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ulschmid-2024-reo-paper.pdf",
                "type": "application/pdf",
                "size": 14987716,
                "path": "Publication:ulschmid-2024-reo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 378,
                "image_height": 323,
                "name": "ulschmid-2024-reo-teaser.png",
                "type": "image/png",
                "size": 254543,
                "path": "Publication:ulschmid-2024-reo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "ulschmid-2024-reo-video.mp4",
                "type": "video/mp4",
                "size": 38712872,
                "path": "Publication:ulschmid-2024-reo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/ulschmid-2024-reo-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "d9275",
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/ulschmid-2024-reo/",
        "__class": "Publication"
    },
    {
        "id": "marin-2024-pcp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/196496",
        "title": "Parameter-free connectivity for point clouds",
        "date": "2024-02",
        "abstract": "Determining connectivity in unstructured point clouds is a long-standing problem that has still not been addressed satisfactorily. In this paper, we analyze an alternative to the often-used k-nearest neighborhood (kNN) graph - the Spheres of Influence Graph (SIG). We show that the edges that are neighboring each vertex are spatially bounded, which allows for fast computation of SIG. Our approach shows a better encoding of the ground truth connectivity compared to the kNN for a wide range of k, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., parameter-free normal estimation, and consequently, surface reconstruction, motion planning, simulations, and many more.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 742,
            "image_height": 912,
            "name": "marin-2024-pcp-image.jpg",
            "type": "image/jpeg",
            "size": 190057,
            "path": "Publication:marin-2024-pcp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            948,
            193
        ],
        "booktitle": "Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1, HUCAPP and IVAPP",
        "date_from": "2024-02-27",
        "date_to": "2024-02-29",
        "doi": "10.5220/0012394900003660",
        "event": "19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2024)",
        "isbn": "978-989-758-679-8",
        "lecturer": [
            1848
        ],
        "location": "Rome",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "92",
        "pages_to": "102",
        "publisher": "SciTePress, Science and Technology Publications",
        "volume": "1",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Proximity Graphs",
            "Point Clouds",
            "Connectivity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 742,
                "image_height": 912,
                "name": "marin-2024-pcp-image.jpg",
                "type": "image/jpeg",
                "size": 190057,
                "path": "Publication:marin-2024-pcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2024-pcp-paper.pdf",
                "type": "application/pdf",
                "size": 2193223,
                "path": "Publication:marin-2024-pcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/marin-2024-pcp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans",
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/marin-2024-pcp/",
        "__class": "Publication"
    },
    {
        "id": "erler_2024_ppsurf",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/192690",
        "title": "PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction",
        "date": "2024-01-12",
        "abstract": "Abstract 3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non-data-driven surface representation to fit the points, or learn a data-driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data-driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade-off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state-of-the-art. Our source code, pre-trained model and dataset are available at https://github.com/cg-tuwien/ppsurf.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "PPSurf teaser with comparison",
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2288,
            "image_height": 740,
            "name": "erler_2024_ppsurf-teaser.png",
            "type": "image/png",
            "size": 1734284,
            "path": "Publication:erler_2024_ppsurf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "number,volume",
        "repositum_presentation_id": null,
        "authors": [
            1395,
            5317,
            1919,
            627,
            1184,
            193
        ],
        "date_from": "2020",
        "date_to": "2024-01-12",
        "doi": "https://doi.org/10.1111/cgf.15000",
        "event": "Eurographics 2024",
        "first_published": "2024-01-12",
        "html_block": "<h2>Demo</h2>\n<iframe src=\"https://perler-ppsurf.hf.space\" frameborder=\"0\" style=\"width: 100%; height: 450px;\"></iframe>                                                                      \n",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1395
        ],
        "number": "1",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "tbd",
        "pages_to": "tbd",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "modeling",
            "surface reconstruction"
        ],
        "weblinks": [
            {
                "href": "https://huggingface.co/spaces/perler/ppsurf",
                "caption": "Live System",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/ppsurf",
                "caption": "Repo (Github)",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.15000",
                "caption": "Official Publication (Wiley Computer Graphics Forum)",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://arxiv.org/abs/2401.08518",
                "caption": "Preprint (ArXiv)",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.replicabilitystamp.org/#https-github-com-cg-tuwien-ppsurf",
                "caption": "Graphics Replicability Stamp Initiative",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Paper Reproduction Code and Models\nNote: use the repo instead of this messy code",
                "filetitle": "paper_repro",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-paper_repro.7z",
                "type": "application/octet-stream",
                "size": 1512332777,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-paper_repro.7z",
                "thumb_image_sizes": []
            },
            {
                "description": "PPSurf (ArXiv Version)",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-paper.pdf",
                "type": "application/pdf",
                "size": 3581909,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-paper:thumb{{size}}.png"
            },
            {
                "description": "PPSurf 50NN Model Checkpoint",
                "filetitle": "ppsurf_50nn_model",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-ppsurf_50nn_model.zip",
                "type": "application/x-zip-compressed",
                "size": 153351534,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-ppsurf_50nn_model.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "PPSurf 50NN Results (Meshes and Tables)",
                "filetitle": "ppsurf_50nn_results",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-ppsurf_50nn_results.7z",
                "type": "application/octet-stream",
                "size": 1609430340,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-ppsurf_50nn_results.7z",
                "thumb_image_sizes": []
            },
            {
                "description": "Eurographics 2024 Slides (PDF)",
                "filetitle": "slides_eg24_pdf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-slides_eg24_pdf.pdf",
                "type": "application/pdf",
                "size": 2551903,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-slides_eg24_pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-slides_eg24_pdf:thumb{{size}}.png"
            },
            {
                "description": "Eurographics 2024 Slides",
                "filetitle": "slides_eg24",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-slides_eg24.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 26027659,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-slides_eg24.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "PPSurf teaser with comparison",
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2288,
                "image_height": 740,
                "name": "erler_2024_ppsurf-teaser.png",
                "type": "image/png",
                "size": 1734284,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-teaser:thumb{{size}}.png"
            },
            {
                "description": "Testsets (ABC, Famous, Thingi10k)",
                "filetitle": "testsets",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-testsets.zip",
                "type": "application/x-zip-compressed",
                "size": 1879212476,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-testsets.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "ABC Training Set",
                "filetitle": "trainset",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_2024_ppsurf-trainset.zip",
                "type": "application/x-zip-compressed",
                "size": 2513802131,
                "path": "Publication:erler_2024_ppsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/erler_2024_ppsurf-trainset.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend",
            "Superhumans",
            "ShapeAcquisition",
            "d4388"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/erler_2024_ppsurf/",
        "__class": "Publication"
    },
    {
        "id": "bayat-2024-awt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/197494",
        "title": "A Workflow to Visually Assess Interobserver Variability in Medical Image Segmentation",
        "date": "2024-01",
        "abstract": "We introduce a workflow for the visual assessment of interobserver variability in medical image segmentation. Image segmentation is a crucial step in the diagnosis, prognosis, and treatment of many diseases. Despite the advancements in autosegmentation, clinical practice widely relies on manual delineations performed by radiologists. Our work focuses on designing a solution for understanding the radiologists' thought processes during segmentation and for unveiling reasons that lead to interobserver variability. To this end, we propose a visual analysis tool connecting multiple radiologists' delineation processes with their outcomes, and we demonstrate its potential in a case study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1693,
            1110,
            1410
        ],
        "doi": "10.1109/MCG.2023.3333475",
        "issn": "1558-1756",
        "journal": "IEEE Computer Graphics and Applications",
        "number": "1",
        "pages": "9",
        "pages_from": "86",
        "pages_to": "94",
        "publisher": "IEEE COMPUTER SOC",
        "volume": "44",
        "research_areas": [],
        "keywords": [
            "Humans",
            "Observer Variation",
            "Workflow",
            "Algorithms"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/bayat-2024-awt/",
        "__class": "Publication"
    },
    {
        "id": "thesis-tekaya",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Context Analysis in Historical Media Collections",
        "date": "2024-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5330
        ],
        "date_start": "2024-01",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/thesis-tekaya/",
        "__class": "Publication"
    },
    {
        "id": "herzberger-2024-roh",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/193209",
        "title": "Residency Octree: a hybrid approach for scalable web-based multi-volume rendering",
        "date": "2024-01",
        "abstract": "We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal. However, in octree volume rendering, tree traversal and the selection of data resolution are intrinsically coupled. This makes fine-grained empty-space skipping costly. Page tables, on the other hand, allow access to any cached brick from any resolution. However, they do not offer a clear and efficient strategy for substituting missing high-resolution data with lower-resolution data. We enable flexible mixed-resolution out-of-core multi-volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree. Instead of one-to-one node-to-brick correspondences, each residency octree node is mapped to a set of bricks from different resolution levels. This makes it possible to efficiently and adaptively choose and mix resolutions, adapt sampling rates, and compensate for cache misses. At the same time, residency octrees support fine-grained empty-space skipping, independent of the data subdivision used for caching. Finally, to facilitate collaboration and outreach, and to eliminate local data storage, our implementation is a web-based, pure client-side renderer using WebGPU and WebAssembly. Our method is faster than prior approaches and efficient for many data channels with a flexible and adaptive choice of data resolution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2656,
            "image_height": 912,
            "name": "herzberger-2024-roh-teaser.png",
            "type": "image/png",
            "size": 550157,
            "path": "Publication:herzberger-2024-roh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date_from,date_to,event,lecturer,location",
        "repositum_presentation_id": null,
        "authors": [
            1857,
            226,
            5321,
            5322,
            1933,
            166,
            818
        ],
        "date_from": "2023-10-22",
        "date_to": "2023-10-27",
        "doi": "10.1109/TVCG.2023.3327193",
        "event": "IEEE VIS 2023",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1857
        ],
        "location": "Melbourne, Victoria, Australia",
        "number": "1",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "1380",
        "pages_to": "1390",
        "publisher": "IEEE",
        "volume": "30",
        "research_areas": [],
        "keywords": [
            "Rendering (computer graphics)",
            "Octrees",
            "Spatial resolution",
            "Graphics processing units",
            "Data visualization",
            "Optimization",
            "Standards",
            "Volume rendering",
            "Ray-guided rendering",
            "Large-scale data",
            "Out-of-core rendering",
            "Multi-resolution",
            "Multi-channel",
            "Web-Based Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "herzberger-2024-roh-paper.pdf",
                "type": "application/pdf",
                "size": 8426051,
                "path": "Publication:herzberger-2024-roh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2656,
                "image_height": 912,
                "name": "herzberger-2024-roh-teaser.png",
                "type": "image/png",
                "size": 550157,
                "path": "Publication:herzberger-2024-roh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/herzberger-2024-roh-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/herzberger-2024-roh/",
        "__class": "Publication"
    },
    {
        "id": "irendorfer-2024-uat",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/202525",
        "title": "User Approaches to Knowledge Externalization in Visual Analytics of Unstructured Data",
        "date": "2024",
        "abstract": "Traditional machine learning approaches for analyzing large unstructured data often depend on labelled training data and well-defined target definitions. However, these may not be available or feasible when dealing with unknown and unstructured data. It requires human reasoning and domain knowledge to interpret it. Interactive systems that combine human analytical abilities with machine learning techniques can address this limitation. However, to incorporate human knowledge in such systems, we need a better understanding of the semantic information and structures that users observe and expect while exploring unstructured data, as well as how they make their tacit knowledge explicit. This thesis aims to narrow the gap between human cognition and (knowledge-assisted) visual analytics. In a qualitative and exploratory user study, this thesis investigates how individuals explore a large unstructured dataset and which strategies they apply to externalize their mental models. By analyzing users' externalized mental models, we aim to better understand how their knowledge evolves during data exploration. We evaluate the comprehensiveness, detail and evolution of users' external knowledge representations by applying quantitative and qualitative methods, including a crowdsourcing step. The results show that users' externalized structures are able to represent a given dataset comprehensively and to a high degree of detail. While these knowledge representations are highly subjective and show various individual differences, we could identify structural similarities between individuals. In addition to the insights about how users externalize their tacit knowledge during data exploration, we propose design guidelines for (knowledge-assisted) visual analytics systems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5399
        ],
        "doi": "10.34726/hss.2024.115066",
        "open_access": "yes",
        "pages": "80",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Knowledge Externalization",
            "Knowledge-Assisted Visualization",
            "Visual Analytics",
            "Unstructured Data",
            "Concept Maps",
            "Mental Models",
            "User Study",
            "Data Exploration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "irendorfer-2024-uat-thesis.pdf",
                "type": "application/pdf",
                "size": 1981913,
                "path": "Publication:irendorfer-2024-uat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/irendorfer-2024-uat-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/irendorfer-2024-uat/",
        "__class": "Publication"
    },
    {
        "id": "kovacs-2024-gsg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/205211",
        "title": "G-Style: Stylized Gaussian Splatting",
        "date": "2024",
        "abstract": "We introduce G-Style, a novel algorithm designed to transfer the style of an image onto a 3D scene represented using Gaussian Splatting. Gaussian Splatting is a powerful 3D representation for novel view synthesis, as—compared to other approaches based on Neural Radiance Fields—it provides fast scene renderings and user control over the scene. Recent pre-prints have demonstrated that the style of Gaussian Splatting scenes can be modified using an image exemplar. However, since the scene geometry remains fixed during the stylization process, current solutions fall short of producing satisfactory results. Our algorithm aims to address these limitations by following a three-step process: In a pre-processing step, we remove undesirable Gaussians with large projection areas or highly elongated shapes. Subsequently, we combine several losses carefully designed to preserve different scales of the style in the image, while maintaining as much as possible the integrity of the original scene content. During the stylization process and following the original design of Gaussian Splatting, we split Gaussians where additional detail is necessary within our scene by tracking the gradient of the stylized color. Our experiments demonstrate that G-Style generates high-quality stylizations within just a few minutes, outperforming existing methods both qualitatively and quantitatively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1950,
            5415,
            1410
        ],
        "articleno": "e15259",
        "doi": "10.1111/cgf.15259",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "7",
        "pages": "13",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "Artificial intelligence",
            "Computer graphics",
            "Neural networks"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/kovacs-2024-gsg/",
        "__class": "Publication"
    },
    {
        "id": "lucio-2024-kma",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/204917",
        "title": "Knowledge maps as a complementary tool to learn and teach surgical anatomy in virtual reality: A case study in dental implantology",
        "date": "2024",
        "abstract": "A thorough understanding of surgical anatomy is essential for preparing and training medical students to become competent and skilled surgeons. While Virtual Reality (VR) has shown to be a suitable interaction paradigm for surgical training, traditional anatomical VR models often rely on simple labels and arrows pointing to relevant landmarks. Yet, studies have indicated that such visual settings could benefit from knowledge maps as such representations explicitly illustrate the conceptual connections between anatomical landmarks. In this article, a VR educational tool is presented designed to explore the potential of knowledge maps as a complementary visual encoding for labeled 3D anatomy models. Focusing on surgical anatomy for implantology, it was investigated whether integrating knowledge maps within a VR environment could improve students' understanding and retention of complex anatomical relationships. The study involved 30 master's students in dentistry and 3 anatomy teachers, who used the tool and were subsequently assessed through surgical anatomy quizzes (measuring both completion times and scores) and subjective feedback (assessing user satisfaction, preferences, system usability, and task workload). The results showed that using knowledge maps in an immersive environment facilitates learning and teaching surgical anatomy applied to implantology, serving as a complementary tool to conventional VR educational methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5407,
            5408,
            1410,
            5409,
            5410,
            5411,
            5412,
            5413
        ],
        "booktitle": "Healthcare Technology Letters",
        "date_from": "2024-10-06",
        "date_to": "2024-10-06",
        "doi": "10.1049/htl2.12094",
        "event": "27th International Conference on Medical Image Computing and Computer Assisted Invertention (MICCAI 2024)",
        "lecturer": [
            5407
        ],
        "pages": "12",
        "research_areas": [],
        "keywords": [
            "biomedical education",
            "user interfaces",
            "virtual reality",
            "biomedical education",
            "user interfaces",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/lucio-2024-kma/",
        "__class": "Publication"
    },
    {
        "id": "2024-po2",
        "type_id": "proceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/209728",
        "title": "Proceedings of the 28th Central European Seminar on Computer Graphics : CESCG 2024",
        "date": "2024",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [],
        "doi": "10.34726/8401",
        "editor": "Ilčík, Martin and Bittner, Jiří and Berger Haladová, Zuzana and Wimmer, Michael",
        "isbn": "978-3-9504701-5-4",
        "open_access": "yes",
        "pages": "192",
        "research_areas": [],
        "keywords": [
            "visual computing",
            "realtime graphics",
            "computer vision",
            "visualization",
            "virtual reality",
            "medical imaging",
            "user experience",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "2024-po2-paper.pdf",
                "type": "application/pdf",
                "size": 133424212,
                "path": "Publication:2024-po2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/2024-po2/2024-po2-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/2024-po2/2024-po2-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/2024-po2/",
        "__class": "Publication"
    },
    {
        "id": "amabili-2024-smg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/200899",
        "title": "Show Me the GIFference! Using data-GIFs as Educational Tools",
        "date": "2024",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1861,
            166,
            1410
        ],
        "booktitle": "Computer Science Research Notes: CSRN 3401: WSCG 2024: Proceedings",
        "date_from": "2024-06-03",
        "date_to": "2024-06-06",
        "doi": "10.24132/CSRN.3401.7",
        "editor": "Skala, Vaclav",
        "event": "32. International Conference in Central Europe on  Computer Graphics, Visualization and Computer Vision (WSCG 2024)",
        "lecturer": [
            1410
        ],
        "location": "Plzen",
        "pages": "10",
        "pages_from": "57",
        "pages_to": "66",
        "research_areas": [],
        "keywords": [
            "data visualization",
            "education for visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/amabili-2024-smg/",
        "__class": "Publication"
    },
    {
        "id": "boffi-2024-bagginghook",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/197699",
        "title": "BaggingHook: Selecting Moving Targets by Pruning Distractors Away for Intention-Prediction Heuristics in Dense 3D Environments",
        "date": "2024",
        "abstract": "Selecting targets in dense, dynamic 3D environments presents a significant challenge. In this study, we introduce two novel selection techniques based on distractor pruning to assist users in selecting targets moving unpredictably: BaggingHook and AutoBaggingHook. Both are built upon the Hook intention-prediction heuristic, which continuously measures the distance between the user's cursor and each object to compute per-object scores and estimate the intended target. Our techniques reduce the number of targets in the environment, making heuristic convergence potentially faster. Once pruned away, distractors are also made semi-transparent to reduce occlusion and the overall difficulty of the task. However, their motion is not altered, so that users can still perceive the dynamics of the environment. We designed two pruning approaches: BaggingHook lets users manually prune distractors away, while AutoBaggingHook uses automated, score-based pruning. We conducted a user study in a virtual reality setting inspired by molecular dynamics simulations, featuring crowded scenes of objects moving fast and unpredictably, in 3D. We compared both proposed techniques to the Hook baseline under more challenging circumstances than it had previously been tested. Our results show that AutoBaggingHook was the fastest, and did not lead to higher error rates. BaggingHook, on the other hand, was preferred by the majority of participants, due to the greater degree of control it provides to users, leading some to see entertainment value in its use. This work shows the potential benefits of varying the types of inputs used in intention-prediction heuristics, not just to improve performance, but also to reduce occlusion, overall task load, and improve user experience.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5365,
            5366,
            1110,
            5367,
            171
        ],
        "booktitle": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)",
        "date_from": "2024-03-16",
        "date_to": "2024-03-21",
        "doi": "10.1109/VR58804.2024.00110",
        "event": "2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)",
        "isbn": "9798350374025",
        "lecturer": [
            5368
        ],
        "location": "Orlando, FL",
        "pages": "11",
        "pages_from": "913",
        "pages_to": "923",
        "research_areas": [],
        "keywords": [
            "Algorithms",
            "AR/VR/Immersive",
            "Human-Subjects Qualitative Studies",
            "Human-Subjects Quantitative Studies",
            "Interaction Design",
            "Mobile",
            "Specialized Input/Display Hardware"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/boffi-2024-bagginghook/",
        "__class": "Publication"
    },
    {
        "id": "eitler-2024-sos",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/205306",
        "title": "Spatial Organization Strategies in Exploratory Analysis of Unstructured Data",
        "date": "2024",
        "abstract": "As not only the amount but also the complexity of data increases, there is a growing need to support humans in the analysis of data that is not structured in a way that can be easily interpreted by machines. So-called “knowledge-assisted visual analytics” (KAVA) tools aim to address these challenges by integrating the knowledge of the analyst into their system to support the analysis process.In this thesis, we investigate the spatial organization strategies that users employ when exploring unstructured data. We aim to characterize the types of strategies that users employ, how they change over time, and how we can use them to infer the users’ knowledge of the data. To answer these questions, we first conduct a user study in which the participants explore an image dataset on a multitouch tabletop interface imitating an analogue setting and externalize their findings into concept maps. We observe their organization strategies and analyse their methods in a mixed-methods approach, combining qualitative analysis of the participants’ interview statements with quantitative analysis of the interaction logs.We find that the participants’ spatial organization strategies can be characterized by four features: semantic clusters, type of layout, uncovering process, and reorganization of the data. While most participants prefer layouts that give them an overview of the data, only about half create semantic clusters (i.e., grouping similar images together). The participants also mostly uncovered all images — which were initially on a stack — in the task right away before externalizing their knowledge, and only a few reorganized the images. We further find that the participants generally did not change their organization strategies over time, and that the resulting spatial arrangements do not necessarily provide valuable insights into the users’ knowledge of the data.Finally, we discuss our findings and list the limitations of our study. As this thesis is embedded in a research project that aims to develop a tool for knowledge-assisted visual analytics, we discuss potential design implications for the development of such a tool.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5419
        ],
        "doi": "10.34726/hss.2024.117186",
        "open_access": "yes",
        "pages": "95",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual analytics",
            "unstructured data",
            "spatial organization",
            "exploratory analysis",
            "knowledge-assisted visual analytics",
            "semantic interaction",
            "knowledge externalization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eitler-2024-sos-thesis.pdf",
                "type": "application/pdf",
                "size": 2087980,
                "path": "Publication:eitler-2024-sos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/eitler-2024-sos-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/eitler-2024-sos/",
        "__class": "Publication"
    },
    {
        "id": "matt-2024-cvi",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/198406",
        "title": "Class-Centric Visual Interactive Labeling using Property Measures",
        "date": "2024",
        "abstract": "Human annotation of image data is relevant for supervised machine learning, where labeled datasets are essential for training models. Traditionally, reducing the labeling effort was achieved through active learning, where the optimal next instance for labeling is selected by some heuristic to maximize utility. More recent work has focused on integrating user initiative in the labeling process through visual interactive labeling to steer the labeling process. This thesis proposes cVIL, a class-centric approach for visual interactive labeling that simplifies the human annotation process for large and complex image datasets. Previously, visual labeling approaches were typically instance-based, where the system visualizes individual instances for the user to label. cVIL utilizes diverse property measures to enable the labeling of difficult instances individually and in batches to label simpler cases rapidly. Since the property measures express the properties of an instance using a single scalar value, the visualizations are simple and scalable. cVIL combines the heuristic guidance approach of active learning with the user-centered approach of visual interactive labeling. In simulations, we could show that property measures can facilitate effective instance and batch labeling. In a user study, cVIL demonstrated superior accuracy and user satisfaction compared to the conventional instance-based visual interactive labeling approach that employs scatterplots. Participants also needed less time to complete the assigned tasks in cVIL compared to the baseline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5263
        ],
        "co_supervisor": [
            5370
        ],
        "doi": "10.34726/hss.2024.102653",
        "open_access": "yes",
        "pages": "101",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [
            "Human-centered computing",
            "Visual analytics",
            "User interface design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matt-2024-cvi-thesis.pdf",
                "type": "application/pdf",
                "size": 4771814,
                "path": "Publication:matt-2024-cvi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/matt-2024-cvi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/matt-2024-cvi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/matt-2024-cvi/",
        "__class": "Publication"
    },
    {
        "id": "muth-2024-edt",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/202187",
        "title": "Exploring Drusen Type and Appearance using Interpretable GANs",
        "date": "2024",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5391,
            5392,
            1410,
            5393,
            5394,
            5395
        ],
        "booktitle": "VCBM 2024: Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2024-09-19",
        "date_to": "2024-09-20",
        "doi": "10.2312/vcbm.20241187",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2024)",
        "lecturer": [
            5396
        ],
        "research_areas": [],
        "keywords": [
            "Image Processing",
            "Machine Learning",
            "Ophthalmology"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/muth-2024-edt/",
        "__class": "Publication"
    },
    {
        "id": "parakkat-2024-ballmerge",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/197864",
        "title": "BallMerge: High‐quality Fast Surface Reconstruction via Voronoi Balls",
        "date": "2024",
        "abstract": "We introduce a Delaunay-based algorithm for reconstructing the underlying surface of a given set of unstructured points in 3D. The implementation is very simple, and it is designed to work in a parameter-free manner. The solution builds upon the fact that in the continuous case, a closed surface separates the set of maximal empty balls (medial balls) into an interior and exterior. Based on discrete input samples, our reconstructed surface consists of the interface between Voronoi balls, which approximate the interior and exterior medial balls. An initial set of Voronoi balls is iteratively processed, merging Voronoi-ball pairs if they fulfil an overlapping error criterion. Our complete open-source reconstruction pipeline performs up to two quick linear-time passes on the Delaunay complex to output the surface, making it an order of magnitude faster than the state of the art while being competitive in memory usage and often superior in quality. We propose two variants (local and global), which are carefully designed to target two different reconstruction scenarios for watertight surfaces from accurate or noisy samples, as well as real-world scanned data sets, exhibiting noise, outliers, and large areas of missing data. The results of the global variant are, by definition, watertight, suitable for numerical analysis and various applications (e.g., 3D printing). Compared to classical Delaunay-based reconstruction techniques, our method is highly stable and robust to noise and outliers, evidenced via various experiments, including on real-world data with challenges such as scan shadows, outliers, and noise, even without additional preprocessing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 813,
            "image_height": 248,
            "name": "parakkat-2024-ballmerge-image.png",
            "type": "image/png",
            "size": 308382,
            "path": "Publication:parakkat-2024-ballmerge",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1825,
            948,
            823,
            5297
        ],
        "doi": "10.1111/cgf.15019",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "2",
        "open_access": "yes",
        "pages": "13",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "surface reconstruction",
            "voronoi",
            "point clouds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 813,
                "image_height": 248,
                "name": "parakkat-2024-ballmerge-image.png",
                "type": "image/png",
                "size": 308382,
                "path": "Publication:parakkat-2024-ballmerge",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "parakkat-2024-ballmerge-paper.pdf",
                "type": "application/pdf",
                "size": 75917181,
                "path": "Publication:parakkat-2024-ballmerge",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/parakkat-2024-ballmerge-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans",
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/parakkat-2024-ballmerge/",
        "__class": "Publication"
    },
    {
        "id": "pichler-2024-vaf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/204038",
        "title": "Visual Analytics für Deep Learning mit Graphen: Case Study Neuronen Clustering",
        "date": "2024",
        "abstract": "Many deep learning applications are based on graph data in order to explore relationships or to analyze structures. Labeling this data is expensive and often requires expert knowledge. For the application of graph clustering to neuron data, the SOTA method GraphDINO generates self-supervised graph embeddings combined with the downstream task of clustering these embeddings. We observe on a particularly challenging neuron dataset that this method does not lead to satisfying clustering results. Therefore we use the graph embeddings generated by GraphDINO as an initial starting point to improve the network and to guide the network training. To achieve this, we developed the visual analytics framework NetDive. The user can analyze the graph embeddings and label single neurons that are falsely clustered. This annotation information is then used to train a semi-supervised model. To this end, we developed a network architecture, named GraphPAWS, that assembles components of GraphDINO and of the semi-supervised network architecture PAWS. The model training can be started from within the visual analytics application NetDive and the resulting graph embeddings are available in NetDive as soon as the retraining is completed. We demonstrate how we iteratively train the model using NetDive and GraphPAWS and evaluate our model against the self-supervised SOTA for our dataset.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example neurons for each spiny clusters of the BBP dataset, with apical\ndendrites in lighter color and basal dendrites in darker color.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 811,
            "image_height": 528,
            "name": "pichler-2024-vaf-teaser.png",
            "type": "image/png",
            "size": 365626,
            "path": "Publication:pichler-2024-vaf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1940
        ],
        "co_supervisor": [
            5404,
            231
        ],
        "doi": "10.34726/hss.2024.112190",
        "open_access": "yes",
        "pages": "134",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Graph embedding",
            "Visual Analytics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Example neurons for each spiny clusters of the BBP dataset, with apical\ndendrites in lighter color and basal dendrites in darker color.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 811,
                "image_height": 528,
                "name": "pichler-2024-vaf-teaser.png",
                "type": "image/png",
                "size": 365626,
                "path": "Publication:pichler-2024-vaf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pichler-2024-vaf-thesis.pdf",
                "type": "application/pdf",
                "size": 5460090,
                "path": "Publication:pichler-2024-vaf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/pichler-2024-vaf-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/pichler-2024-vaf/",
        "__class": "Publication"
    },
    {
        "id": "toepfer-2024-spx",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/203924",
        "title": "SPX: A Versatile Spatial Indexing Framework",
        "date": "2024",
        "abstract": "The integration of modern genetic techniques, advanced volumetric imaging methods, and single-cell extraction methods has empowered neurobiologists to create extensive digitized and coregistered specimen sample collections. These collections serve as valuable resources for studying neuronal structures, functional compartments, and neurological connections within the brain. By sampling single cells from various locations within the animal brain, scientists can investigate cell type distributions and gene expressions. However, the exploration of these vast collections, which include volumetric images, segmented structures, and gene expression data, poses a significant challenge in neuroscience. Efficient access to specific regions of interest in all images, derivative processed data, cell samples, and metadata is essential for researchers. In this thesis, I present a flexible and extensible approach to spatially index and store volumetric grid data and region-based data, enabling efficient access and providing a streamlined method for implementing new data abstractions, query types, and indexing strategies. The framework supports different datasets, the encoding of neurological structural types, and incorporates a layering mechanism to handle multiple data representations or time-dependent data within a single data structure. Standardized interfaces are defined for loading voxel and region data, preprocessing them, creating data abstractions, and implementing new query types. The data storage is managed using a storage engine approach, allowing users to leverage different storage mechanisms or introduce their own.This thesis provides an overview of conceptual ideas, implementation details, current data abstractions, and query types. The system was evaluated in terms of performance and scalability in its current use cases. A short introduction to three applications, BrainBaseWeb, BrainTrawler, and BrainTrawler Lite, exemplifies the usage of this framework.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5401
        ],
        "doi": "10.34726/hss.2024.119688",
        "open_access": "yes",
        "pages": "157",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "spatial indexing",
            "volume data",
            "brain atlas"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "toepfer-2024-spx-thesis.pdf",
                "type": "application/pdf",
                "size": 3832321,
                "path": "Publication:toepfer-2024-spx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/toepfer-2024-spx-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/toepfer-2024-spx-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/toepfer-2024-spx/",
        "__class": "Publication"
    },
    {
        "id": "wimmer-2024-adh",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/201047",
        "title": "Addressing Data Heterogeneity in Image-Based Computer-Aided Detection and Diagnosis Methods",
        "date": "2024",
        "abstract": "The acquisition of medical imaging data is inevitable for screening, diagnosis, planning of surgery or therapy, or monitoring of diseases. In clinical practice, the data is assessed by medical experts, which can be a very time-consuming task. Hence, for decades a lot of research effort has been dedicated to the automated analysis of medical imaging data and to the question of how Computer-Aided Detection and Diagnosis algorithms can assist the tasks mentioned above. However, one of the biggest challenges in this regard is the highly heterogeneous nature of medical imaging data. The acquisition of data from different imaging modalities, like X-ray or Magnetic Resonance Imaging (MRI), changes of acquisition parameters, and the use of different scanners results in diverse data. The varying spatial resolution as well as the high dimensionality of the data pose additional challenges to the development of automated solutions. In this thesis, we investigate different machine learning-based methods to address the analysis of heterogeneous medical imaging data, such as multi-parametric, multi-modal, multi-center, or multi-view data. We present three different pipeline approaches that follow generalization- and fusion- based approaches and demonstrate their applicability on diverse public datasets. Our contributions target two selected use cases in radiology: the semantic labeling of the spine in MRI data and the analysis of mammograms. In semi- and fully-automated spine labeling in MRI data, we are confronted with the problem that MRI data does not exhibit a standardized intensity scale, which results in a large variety of different image contrasts. To overcome this problem for semantic spine labeling, we propose an iterative labeling pipeline that employs Entropy-Optimized Texture Models (ETMs). The application of trained ETMs allows us to apply our models to a wide range of different MRI data. This is in contrast to various related works that develop methods for specific MRI image sequences and protocols. For the analysis of mammography screening data, not only one but four X-ray images from different fields of view are available that form a study of a patient. In addition to this multi-view data, we deal with multi-scale information at various levels, e.g., on a patient, image, or lesion level. To utilize and combine this information efficiently, we develop several deep learning-based models that aim for a specific task important in examining mammograms, such as the localization of abnormalities. For a comprehensive prediction on a patient level, we propose to fuse predictions and features from the individual models to increase performance, which is in contrast to standard ensembling techniques. The results in this thesis demonstrate that considering the different aspects of heterogeneous medical imaging data is inevitable to improve both generalization and predictive capabilities of Computer-Aided Detection and Diagnosis methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1137
        ],
        "doi": "10.34726/hss.2024.125391",
        "open_access": "yes",
        "pages": "163",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Medical Image Analysis",
            "Image Processing",
            "Data Heterogeneity",
            "Computer-Aided Detection and Diagnosis",
            "Mammography",
            "Spine Labeling",
            "Machine Learning",
            "Deep Learning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wimmer-2024-adh-thesis.pdf",
                "type": "application/pdf",
                "size": 6694551,
                "path": "Publication:wimmer-2024-adh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/wimmer-2024-adh-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/wimmer-2024-adh-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/wimmer-2024-adh/",
        "__class": "Publication"
    },
    {
        "id": "rauer-zechmeister-2024-h3p",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/206130",
        "title": "HORA 3D: Personalized Flood Risk Visualization as an Interactive Web Service",
        "date": "2024",
        "abstract": "We propose an interactive web-based application to inform the general public about personal flood risks. Flooding is the natural hazard affecting most people worldwide. Protection against flooding is not limited to mitigation measures, but also includes communicating its risks to affected individuals to raise awareness and preparedness for its adverse effects. Until now, this is mostly done with static and indiscriminate 2D maps of the water depth. These flood hazard maps can be difficult to interpret and the user has to derive a personal flood risk based on prior knowledge. In addition to the hazard, the flood risk has to consider the exposure of the own house and premises to high water depths and flow velocities as well as the vulnerability of particular parts. Our application is centered around an interactive personalized visualization to raise awareness of these risk factors for an object of interest. We carefully extract and show only the relevant information from large precomputed flood simulation and geospatial data to keep the visualization simple and comprehensible. To achieve this goal, we extend various existing approaches and combine them with new real-time visualization and interaction techniques in 3D. A new view-dependent focus+context design guides user attention and supports an intuitive interpretation of the visualization to perform predefined exploration tasks. HORA 3D enables users to individually inform themselves about their flood risks. We evaluated the user experience through a broad online survey with 87 participants of different levels of expertise, who rated the helpfulness of the application with 4.7 out of 5 on average.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5421,
            877,
            5422,
            1207,
            1205,
            1688,
            1689,
            1330,
            166,
            798
        ],
        "articleno": "e15110",
        "doi": "10.1111/cgf.15110",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "3",
        "pages": "12",
        "publisher": "WILEY",
        "volume": "43",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "Human-centered computing",
            "Information systems",
            "Visualization",
            "Spatial-temporal systems"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/rauer-zechmeister-2024-h3p/",
        "__class": "Publication"
    },
    {
        "id": "riegelnegg-2024-aeo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/198102",
        "title": "Automated Extraction of Complexity Measures from Engineering Drawings",
        "date": "2024",
        "abstract": "An engineering drawing is a detailed representation of an object used to communicate complex information for the purposes of design, manufacturing, and maintenance.These line drawings typically consist of multiple 2D orthographic views of a 3D object, along with dimensioning information and metadata about specific properties.Over the past decades, engineering drawings have evolved from hand-drawn sketches to highly standardized documents created with the help of CAD software.The large variety of engineering drawings makes it difficult to automatically extract abstract information in a robust way.The emergence of additive manufacturing (AM) promises companies that they can produce spare parts on demand for maintenance, potentially increasing the operational time of their infrastructure.Evaluating the AM potential of spare parts is essential from both an economic and technical perspective.This analysis of economic and technical viability requires the interpretation of complexity measures that can be derived from the engineering drawing of a spare part.The external dimensions of an object are key complexity measures to facilitate an AM potential analysis.In this thesis, we propose a processing pipeline that automates the extraction of complexity measures from engineering drawings, focusing on the external dimensions of the depicted objects.An in-depth examination of engineering drawings from different eras forms the basis of our methodology.Our pipeline is designed to be adaptable and consists of interpretable stages for specific tasks.We segment important entities in the input drawing to detect candidate dimension lines that are subsequently filtered by a sequence of processing steps.The grid structure of the orthographic views is determined, which allows us to assign axis labels to each view.We run optical character recognition (OCR) on detected dimension numbers and use the results to optimize the ratio between the OCR values and the length of dimension lines in pixels, providing us with a solution that is resilient to errors in the OCR predictions.A prototypical implementation of our pipeline demonstrates its capabilities in handling a large variety of drawings.We conduct a basic quantitative and qualitative evaluation of our methodology.The results confirm the effectiveness of our approach in automatically extracting abstract information from real-world engineering drawings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1655
        ],
        "doi": "10.34726/hss.2024.115164",
        "open_access": "yes",
        "pages": "117",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "engineering drawing",
            "information extraction",
            "computer vision",
            "pattern recognition",
            "deep learning",
            "additive manufacturing",
            "vision transformer"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "riegelnegg-2024-aeo-thesis.pdf",
                "type": "application/pdf",
                "size": 5046482,
                "path": "Publication:riegelnegg-2024-aeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/riegelnegg-2024-aeo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/riegelnegg-2024-aeo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/riegelnegg-2024-aeo/",
        "__class": "Publication"
    },
    {
        "id": "staats-2024-atr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/195524",
        "title": "Alpine Terrain Relighting",
        "date": "2024",
        "abstract": "Aerial orthophotos together with digital elevation models (DEMs) allow the rendering of 3D representations of the earth, including alpine terrain. These virtual landscapes provide the opportunity to simulate light conditions at different times of the day, aiding in trip planning. However, orthophotos used as texture often contain large shadows stemming from cliffs and rocks, which significantly impact the visual quality of relighted textures. The necessary single-image shadow-removal process presents a crucial problem for the computer vision domain, which also functions as a prerequisite for many other tasks like segmentation and classification. Many promising approaches have already been developed, but unlike previous methods, this study tries to capitalize on the availability of DEMs to enhance the shadow removal process. Shadows in orthophotos are inherently linked to the underlying geospatial topology, and DEMs provide a valuable source of information for mitigating their impact. Therefore, this thesis explores the integration of DEMs into a state-of-the-art deep learning pipeline. DEMs are examined for their role in generating training sets and as supplementary input for a multi-modal network. Notably, 3D geometry derived from DEMs complemented by ray-tracing is used to generate artificial shadows with realistic shapes. Subsequently, an experiment is conducted with the created dataset to empirically test if additional elevation data is beneficial for the performance of the models. Additionally, the model’s ability to generalize from artificial to real shadows was probed. The experiment on virtual shadows showed that providing additional elevation data to the shadow-removal network does yield significantly better results with a medium to large effect size. Initially, all trained models failed to generalize to real shadow data. Downsizing the dataset to a lower level of detail mitigated this problem. Together with an analysis of the output of each network layer, it was concluded that the reason for the subpar real data performance are remaining small-scale shadows in the train set. A visual analysis of the improved models showed noticeable improvements with the generated realistic shadow shapes compared to random ones. Moreover, the utility of additional elevation data as input for the models was demonstrated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5338
        ],
        "co_supervisor": [
            1919
        ],
        "doi": "10.34726/hss.2024.112641",
        "open_access": "yes",
        "pages": "70",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [
            "Shadow-Removal",
            "Shadow-Detection",
            "Orthophotos",
            "Digital Elevation Models",
            "Deep-Learning",
            "Generative Adversarial Models",
            "Computer Vision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "staats-2024-atr-thesis.pdf",
                "type": "application/pdf",
                "size": 5090122,
                "path": "Publication:staats-2024-atr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/staats-2024-atr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/staats-2024-atr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/staats-2024-atr/",
        "__class": "Publication"
    },
    {
        "id": "tanaka-2024-vor",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/209946",
        "title": "Visualization of Relationships between Precipitation and River Water Levels",
        "date": "2024",
        "abstract": "Observation of precipitation changes is important for a variety of purposes such as predicting river levels. Previous studies for data visualization of precipitation and river water levels plotted graphs and color bars were many stations on a map. Instead of such visualizations on a map, we construct a graph to imitate a connected structure such as a tributary of a river in this study. Our method displays two pseudo-coloring sparklines at nodes of the graph as the stations. The method can visualize the time difference between the increase in precipitation upstream and the increase in river water level downstream. Users can observe precipitation and river water levels at different observation points. Our method uses a Delaunay diagram connecting gauging positions to interpolate and calculate precipitation at river level observation points. This avoids the discrepancy between observation points.In addition, we adjust the amount of visualized information by skipping the display of several observation points based on the similarity of the time-series data at each station, which is calculated by applying the dynamic time-stretching method. The visualization results show that downstream, once the water level rises, it tends to take longer for the water level to drop. In addition, the results show that a time lag occurs between the increase in precipitation and the rise in river levels in the mainstream, while tributaries have little time lag. In addition, data on rainfall and river levels at the same station over multiple periods and their relationship are plotted as scatter plots. The scatter plots make it easier to compare data from multiple periods at the same time than two-tone pseudo coloring sparklines.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5438,
            1937,
            1850,
            1410,
            166,
            1754
        ],
        "booktitle": "2024 28th International Conference Information Visualisation (IV)",
        "date_from": "2024-07-22",
        "date_to": "2024-07-26",
        "doi": "10.1109/IV64223.2024.00020",
        "event": "2024 28th International Conference Information Visualisation (IV)",
        "isbn": "979-8-3503-8016-3",
        "lecturer": [
            5438
        ],
        "location": "Coimbra",
        "pages": "6",
        "pages_from": "58",
        "pages_to": "63",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Geographic Information",
            "Meteorological Information",
            "River Water level",
            "Interpolation",
            "Precipitation",
            "Rain",
            "Image color analysis",
            "Data visualization",
            "Rivers",
            "Space stations",
            "Bars"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2024/tanaka-2024-vor/",
        "__class": "Publication"
    },
    {
        "id": "Koeppl-2023-DLO",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gradient-based Light Optimization with Variable Light Count: Dynamic Generation and Merging of Light Sources",
        "date": "2023-12",
        "abstract": "This thesis focuses on improvements for an interactive lighting design approach that\nutilizes GPU-accelerated ray tracing and a view-independent global illumination solver.\nOur goal is to enable automated lighting design for a set of user-specified illumination\ntargets in 3D scenes. Current solvers are highly effective but still have some limitations.\nFor instance, they rely on an initial number of light sources and their respective placements\nin a given 3D scene and this can result in insufficient solutions when there are more target\nspots than provided light sources. On the other hand, if there are more light sources\nthan needed, the resulting solution can be sub-optimal, leading to superimposed lights\nthat can negatively impact performance and increase computational cost.\nIn response to the limitations, we investigate several strategies for increasing the effectiveness\nand efficiency of the optimization algorithm by developing a dynamic light\nsource generation approach that programmatically inserts and removes lights in the 3D\nscene to achieve a more refined light placement. In our results, we show that our specialized\noptimization approach, yields improved lighting solutions compared to established\nalgorithms.\nMoreover, we also implement a light source merging technique to address the issue of\nlight sources with overlapping areas of influence. By formulating conditions on intensity\nand proximity and then applying linear interpolation, we can combine overlapping light\nsources in a way that minimizes performance impact and computational cost. We also\ntake measures to remove lights with a small illumination contribution to the scene\nduring the optimization process. Evidence from our study suggests that our approach of\nexpanding the solution space and improving the light source placement achieves superior\nlighting solutions for any given scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5237
        ],
        "date_end": "2023-12-18",
        "date_start": "2023-02-28",
        "matrikelnr": "e12022493",
        "supervisor": [
            193,
            1946,
            1525
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "BSc Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koeppl-2023-DLO-BSc Thesis.pdf",
                "type": "application/pdf",
                "size": 24560599,
                "path": "Publication:Koeppl-2023-DLO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/Koeppl-2023-DLO-BSc Thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Koeppl-2023-DLO/",
        "__class": "Publication"
    },
    {
        "id": "turner-aso",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Study on the Impact of Uncertainties on the Analytical Process",
        "date": "2023-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 708,
            "preview_image_height": 333,
            "name": "turner-aso-.pdf",
            "type": "application/pdf",
            "size": 2585393,
            "path": "Publication:turner-aso",
            "preview_name": "turner-aso-:preview.JPG",
            "preview_type": "image/jpeg",
            "preview_size": 45281,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5331
        ],
        "date_end": "2023",
        "date_start": "2023",
        "matrikelnr": "11908540",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 708,
                "preview_image_height": 333,
                "name": "turner-aso-.pdf",
                "type": "application/pdf",
                "size": 2585393,
                "path": "Publication:turner-aso",
                "preview_name": "turner-aso-:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 45281,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/turner-aso-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/turner-aso/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2023",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2023",
        "date": "2023-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2283,
            "image_height": 1615,
            "name": "xmas-2023-image.png",
            "type": "image/png",
            "size": 4679564,
            "path": "Publication:xmas-2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848,
            1636,
            1869,
            1935,
            1129,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Christmas",
            "Santa Edi",
            "Holy Michi",
            "Vulkan",
            "Auto-Vk-Toolkit",
            "Auto-Vk",
            "Tamashii",
            "Cyberpunk",
            "RTX. It's on.",
            "Christmas Tree"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Christmas Card as PDF",
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2023-Card.pdf",
                "type": "application/pdf",
                "size": 1240736,
                "path": "Publication:xmas-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-Card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2283,
                "image_height": 1615,
                "name": "xmas-2023-image.png",
                "type": "image/png",
                "size": 4679564,
                "path": "Publication:xmas-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/xmas-2023-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/xmas-2023/",
        "__class": "Publication"
    },
    {
        "id": "Zezulka_Matthias-2023-MatLabOptInterface",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bidirectional MATLAB/C++ Interface for Lighting Design Optimization",
        "date": "2023-12",
        "abstract": "The lighting design of (virtual) space is an important aspect of our daily environment. It\nnot only allows for creative expression but is often a necessary asset in professional work\nenvironments and artistic productions. However, due to the computational complexity of\nthis problem, current solutions are usually built in performance-oriented programming\nlanguages that offer a detailed low-level view of the application on the one hand but\ndo not allow for fast development and easy exchange of algorithms on the other. This\nwork builds on the already existing C++ rendering framework Tamashii, proposed\nby Lipp et al. in 2023 [20], which offers view-independent and gradient-based global\nlighting design optimization. We propose a way to integrate MATLAB functions into the\noptimization process in order to not only allow for easier development of optimization\nalgorithms but also enable access to MATLAB’s existing code base and numerical analysis\ntools. We therefore implement a bidirectional MATLAB/C++ interface for exchanging\noptimization data between the rendering process and the MATLAB process. In order to\nachieve this functionality, we use the MATLAB Engine API for C++ and the MATLAB\nMEX API, which are both natively contained within MATLAB. Further, we implement a\nmechanism for inter-process communication using Windows Named Pipes and a custom\ncommunication protocol.\nIn addition, this work also briefly discusses various optimization methods and the use\nof Surrogate-Based Optimization (SBO) for the global lighting design problem. We\nshow that our method achieves great performance and evaluate it against plain C++\nimplementations on two test scenes by not only testing optimization methods via the\ninterface but also testing simple rendering of new lighting configurations. The test results\nalso show that MALTAB’s current SBO implementation can bring good performance to\nthe optimization problem we encounter in Tamashii in certain scenes. Lastly, we discuss\nthe increased usability and insight into optimization methods achieved by integrating\nMATLAB into Tamashii.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5257
        ],
        "date_end": "2023-12-18",
        "date_start": "2023-03-15",
        "matrikelnr": "e11914298",
        "supervisor": [
            193,
            1946
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "BSc Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf",
                "type": "application/pdf",
                "size": 4185305,
                "path": "Publication:Zezulka_Matthias-2023-MatLabOptInterface",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/Zezulka_Matthias-2023-MatLabOptInterface-BSc Thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Zezulka_Matthias-2023-MatLabOptInterface/",
        "__class": "Publication"
    },
    {
        "id": "Grossfurtner-2023-paego",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Aesthetic Plant Models from an Open Data Format of the Project for Sustainable Agroecosystems in Godot",
        "date": "2023-12",
        "abstract": "This bachelor's thesis explores the development of a plugin for the open-source game engine Godot 3.5, aimed at providing an easy way for procedurally creating pleasing plant visualizations, specifically in the frame of the Sustainable Agroecosystem project. This is achieved by importing data conforming to a predefined format that abstractly describes the structure of plant organisms. Upon import, the plugin generates 3D surfaces for the branching structures and employs instancing for rendering leaves efficiently. One of the key features of the plugin is its adaptive surface subdivision mechanism, which dynamically generates the surface at different levels of detail based on the proximity to the camera.\n\nThe plugin's implementation leverages Godot's GDPlugin feature to seamlessly integrate into the engine's workflow. The procedural generation of plant structures is achieved through algorithmic processes that translate \"tree skeletons\" into 3D surfaces. However, due to limitations inherent in Godot 3, the adaptive subdivision mechanism is implemented on the CPU. In tests, this resulted in the following: Exports of models in the highest level of detail yielded better performance than models with adaptive subdivision.\n\nThe thesis covers the design, implementation, and theory behind the plugin. An evaluation of the plugin's functionality and performance is conducted, highlighting its capability to dynamically adapt the mesh at runtime. Performance comparisons between the adaptive subdivision approach and using the exported surface are presented, revealing the issues with the implementation on the CPU.\n\nIn conclusion, the developed plugin presents a novel approach to procedurally generate and render complex plant structures within the Godot 3.5 game engine. It extends the capabilities of the engine in creating realistic virtual environments while addressing the challenges of adaptive subdivision on the CPU. The thesis explores the intricacies of integrating such plugins into game engines and opens avenues for further optimizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser-img",
            "main_file": false,
            "use_in_gallery": false,
            "access": "hidden",
            "image_width": 741,
            "image_height": 1032,
            "name": "Grossfurtner-2023-paego-teaser-img.png",
            "type": "image/png",
            "size": 629380,
            "path": "Publication:Grossfurtner-2023-paego",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-teaser-img:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5302
        ],
        "date_end": "2023-12",
        "date_start": "2021-11",
        "matrikelnr": "0271409",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry",
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "rendering",
            "modeling",
            "plant"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": "BSc Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Grossfurtner-2023-paego-thesis.pdf",
                "type": "application/pdf",
                "size": 8990712,
                "path": "Publication:Grossfurtner-2023-paego",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/Grossfurtner-2023-paego-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d4984"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Grossfurtner-2023-paego/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2023-siv",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/193551",
        "title": "Scalable Interactive Visual Analysis Through Storytelling",
        "date": "2023-11-29",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2023-11-28",
        "date_to": "2023-11-30",
        "event": "IConCMT – The 5th International Conference on Creative\\Media/Technologies 2023",
        "lecturer": [
            166
        ],
        "location": "St. Pölten",
        "research_areas": [],
        "keywords": [
            "Visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv/",
        "__class": "Publication"
    },
    {
        "id": "eschner-2023-evl",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Echtzeitvisualisierung von Lawinenrisiko basierend auf hochauflösenden Geodaten",
        "date": "2023-11-18",
        "abstract": "Um das Lawinenrisiko auf Touren abzuschätzen, konsultieren Tourengeher·innen typischerweise vorab den aktuellen Lawinenlagebericht (LLB) sowie die Geländeeigenschaften, wie Hangneigung, Höhe und Exposition der geplanten Tour auf einer Karte. Reduktionsmethoden wie Stop-or-Go oder die SnowCard können sowohl bei der Planung als auch vor Ort angewandt werden, um das Risiko abzuschätzen. Bei korrekter Anwendung dieser Methoden könnte ein Großteil der Todesfälle vermieden werden. Die Anwendung umfasst jedoch mehrere kognitiv aufwändige Schritte: Im ersten Schritt müssen Tourengeher·innen die Informationen aus LLB und Karte korrekt verknüpfen und anhand der gewählten Methode interpretieren, um potenziell kritische Regionen entlang der Route vorab identifizieren zu können. Im zweiten Schritt müssen potenziell kritische Regionen auch während der Tour als solche wiedererkannt und vor Ort beurteilt werden. \nUm die Anwendung von Reduktionsmethoden für Wintersportler·innen zu vereinfachen, können die Informationen aus LLB computergestützt mit den Geländeeigenschaften ausgewertet und direkt in einer Karte dargestellt werden. Skitourenguru, beispielsweise, berechnet das Lawinenrisiko entlang vorgegebener Routen und stellt diese in einer 2D Karte dar. Im Vergleich zu 2D Karten erleichtert eine dreidimensionale Darstellung jedoch die Interpretation des Geländes und das Finden von Routen. Unsere Hypothese ist daher, dass eine direkte Visualisierung des Lawinenrisikos auf einer detaillierten 3D Karte die Identifikation von potenziell kritischen Regionen einer Route in der Planungsphase, sowie deren Wiedererkennung während der Tour, erleichtert.\nWir stellen eine integrierte 3D Risikovisualisierung vor, welche Daten aus dem aktuellen LLB mit einem hochauflösenden Geländemodell kombiniert und existierende Reduktionsmethoden in Echtzeit auswertet, um das Ergebnis auf einer interaktiven Webseite zu visualisieren.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2076,
            "image_height": 1192,
            "name": "eschner-2023-evl-.png",
            "type": "image/png",
            "size": 4716902,
            "path": "Publication:eschner-2023-evl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1653,
            1013,
            1110
        ],
        "booktitle": "Lawinensymposium 2023",
        "cfp": {
            "name": "lawinensymposium_cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "3319607",
            "orig_name": "lawinensymposium_cfp.pdf",
            "ext": "pdf"
        },
        "event": "Lawinensymposium 2023",
        "lecturer": [
            1653
        ],
        "location": "Graz",
        "pages_from": "38",
        "pages_to": "43",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://alpinemaps.cg.tuwien.ac.at/ ",
                "caption": "online demo",
                "description": " Demo version of the avalanche risk visualization ",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2076,
                "image_height": 1192,
                "name": "eschner-2023-evl-.png",
                "type": "image/png",
                "size": 4716902,
                "path": "Publication:eschner-2023-evl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-2023-evl-paper preprint.pdf",
                "type": "application/pdf",
                "size": 21355472,
                "path": "Publication:eschner-2023-evl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-paper preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/eschner-2023-evl-paper preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-evl/",
        "__class": "Publication"
    },
    {
        "id": "kimmersdorfer-fancyMaps-2023",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fancy Alpine Maps",
        "date": "2023-11",
        "abstract": "In this report, I detail the significant enhancements and optimizations done to the Alpine Maps renderer.\n\nAdvanced techniques in shading and shadow mapping were integrated to boost visual effects and performance. Benchmarks on two GPUs, an NVIDIA GeForce RTX 3060 Ti and AMD Radeon HD 7700M, demonstrated the effectiveness of these updates. \n\nIn addition to the current updates, the report also outlines future work aimed at further enhancing the efficiency of the Alpine Maps renderer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "fancy alpine maps teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2362,
            "image_height": 1772,
            "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg",
            "type": "image/jpeg",
            "size": 1507631,
            "path": "Publication:kimmersdorfer-fancyMaps-2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1869
        ],
        "date_end": "2023-11",
        "date_start": "2023-04",
        "matrikelnr": "01326608",
        "supervisor": [
            1110,
            1013
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://alpinemaps.org/",
                "caption": "alpinemaps.org",
                "description": "Alpine Maps online (see Settings for fancy stuff) ",
                "main_file": 1
            },
            {
                "href": "https://github.com/GeraldKimmersdorfer/fancyalpinemapsrenderer",
                "caption": "github fancy alpine maps",
                "description": "Fancy Alpine Maps Github (Alpine Maps fork)",
                "main_file": 0
            },
            {
                "href": "https://github.com/AlpineMapsOrg/renderer",
                "caption": "github alpine maps",
                "description": "Alpine Maps GitHub",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Windows binaries of the Fancy Alpine Maps project.",
                "filetitle": "alpine maps v23.11 win",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip",
                "type": "application/x-zip-compressed",
                "size": 39961999,
                "path": "Publication:kimmersdorfer-fancyMaps-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-alpine maps v23.11 win.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "fancy alpine maps teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2362,
                "image_height": 1772,
                "name": "kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg",
                "type": "image/jpeg",
                "size": 1507631,
                "path": "Publication:kimmersdorfer-fancyMaps-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-fancy alpine maps teaser:thumb{{size}}.png"
            },
            {
                "description": "Detailed project report including implementation details, benchmark results and ideas on future work.",
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kimmersdorfer-fancyMaps-2023-report.pdf",
                "type": "application/pdf",
                "size": 525139,
                "path": "Publication:kimmersdorfer-fancyMaps-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/kimmersdorfer-fancyMaps-2023-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kimmersdorfer-fancyMaps-2023/",
        "__class": "Publication"
    },
    {
        "id": "freude-2023-prh",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/190854",
        "title": "Precomputed radiative heat transport for efficient thermal simulation",
        "date": "2023-11",
        "abstract": "Architectural design and urban planning are complex design tasks. Predicting the thermal impact of design choices at interactive rates enhances the ability of designers to improve energy efficiency and avoid problematic heat islands while maintaining design quality. We show how to use and adapt methods from computer graphics to efficiently simulate heat transfer via thermal radiation, thereby improving user guidance in the early design phase of large-scale construction projects and helping to increase energy efficiency and outdoor comfort. Our method combines a hardware-accelerated photon tracing approach with a carefully selected finite element discretization, inspired by precomputed radiance transfer. This combination allows us to precompute a radiative transport operator, which we then use to rapidly solve either steady-state or transient heat transport throughout the entire scene. Our formulation integrates time-dependent solar irradiation data without requiring changes in the transport operator, allowing us to quickly analyze many different scenarios such as common weather patterns, monthly or yearly averages, or transient simulations spanning multiple days or weeks. We show how our approach can be used for interactive design workflows such as city planning via fast feedback in the early design phase.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 895,
            "image_height": 395,
            "name": "freude-2023-prh-image.png",
            "type": "image/png",
            "size": 368081,
            "path": "Publication:freude-2023-prh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,date_from,date_to,event,lecturer,pages_from,pages_to",
        "repositum_presentation_id": null,
        "authors": [
            1128,
            1946,
            1063,
            1525,
            193
        ],
        "articleno": "e14957",
        "date_from": "2023-11",
        "date_to": "2023-11",
        "doi": "10.1111/cgf.14957",
        "event": "Pacific Graphics 2023",
        "first_published": "2023-11",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1128
        ],
        "number": "7",
        "open_access": "yes",
        "pages": "14",
        "publisher": "WILEY",
        "volume": "42",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "thermal radiation",
            "rendering",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 895,
                "image_height": 395,
                "name": "freude-2023-prh-image.png",
                "type": "image/png",
                "size": 368081,
                "path": "Publication:freude-2023-prh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude-2023-prh-paper.pdf",
                "type": "application/pdf",
                "size": 10540215,
                "path": "Publication:freude-2023-prh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/freude-2023-prh-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314",
            "d9259"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-prh/",
        "__class": "Publication"
    },
    {
        "id": "ehlers-2023-iro",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/192189",
        "title": "Improving readability of static, straight-line graph drawings: A first look at edge crossing resolution through iterative vertex splitting",
        "date": "2023-11",
        "abstract": "We present a novel vertex-splitting approach to iteratively resolve edge crossings in order to improve the readability of graph drawings. Dense graphs, even when small in size (10 to 15 nodes in size) quickly become difficult to read with increasing numbers of edges, and form so-called “hairballs”. The readability of a graph drawing is measured using many different quantitative aesthetic metrics. One such metric of particular importance is the number of edge crossings. Classical approaches to improving readability, such as the minimization of the number of edge crossings, focus on providing overviews of the input graph by aggregating or sampling vertices and/or edges. However, this simplification of the graph drawing does not allow for detailed views into the data, as not all vertices or edges are rendered, and also requires sophisticated interaction approaches to perform well. To avoid this, our locally optimal vertex splitting approach aims to minimize the number of remaining edge crossings while also minimizing the number of vertices that need to be split. In each iteration, we identify the vertex contributing the largest number of edge crossings, remove it, locate the embedding locations of said vertex's two split copies, and determine each copy's unique adjacency. We conduct a user study with 52 participants to evaluate whether vertex splitting affects users’ abilities to conduct a set of graph analytical tasks on graphs 12 nodes in size. Users were tasked with identifying a vertex's adjacency, determining the shared neighbors of two vertices, and checking the validity of a set of paths. We ultimately conclude that within the context of small, dense graphs, systematic vertex splitting is preferred by participants and even positively impacts user performance, though at the cost of the time taken per task.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1850,
            5308,
            1410,
            1464
        ],
        "doi": "10.1016/j.cag.2023.09.010",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "pages": "16",
        "pages_from": "448",
        "pages_to": "463",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "116",
        "research_areas": [
            "NetVis"
        ],
        "keywords": [
            "Edge crossings",
            "Graph aesthetics",
            "Network visualization",
            "Vertex splitting"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ehlers-2023-iro/",
        "__class": "Publication"
    },
    {
        "id": "piccolotto-2023-dta",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/189927",
        "title": "Data Type Agnostic Visual Sensitivity Analysis",
        "date": "2023-10-26",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "doi,issn,open_access,pages_from,pages_to",
        "repositum_presentation_id": null,
        "authors": [
            5311,
            5312,
            5313,
            5314,
            962,
            950,
            966
        ],
        "date_from": "2023-10-22",
        "date_to": "2023-10-27",
        "doi": "10.1109/TVCG.2023.3327203",
        "event": "IEEE VIS 2023",
        "issn": "1077-2626",
        "lecturer": [
            5312
        ],
        "location": "Melbourne",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Visual Analytics",
            "Visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/piccolotto-2023-dta/",
        "__class": "Publication"
    },
    {
        "id": "medeiros-2023-gwf",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/193561",
        "title": "Going with the flow: using immersive analytics to support lifetime predictions of hydropower turbines",
        "date": "2023-10-13",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 536,
            "image_height": 320,
            "name": "medeiros-2023-gwf-teaser.png",
            "type": "image/png",
            "size": 116775,
            "path": "Publication:medeiros-2023-gwf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5326,
            5327,
            5328,
            5329,
            950
        ],
        "booktitle": "Proceedings SUI 2023 ACM : Symposium on Spatial User Interaction",
        "date_from": "2023-10-13",
        "date_to": "2023-10-15",
        "doi": "10.1145/3607822.3618009",
        "editor": "Huang, Tony and Sra, Misha and Argelaguet, Ferran and Lopes, Pedro and Barrera Machuca, Mayra Donaji",
        "event": "SUI '23: ACM Symposium on Spatial User Interaction",
        "isbn": "979-8-4007-0281-5",
        "lecturer": [
            5326
        ],
        "location": "Sydney",
        "open_access": "no",
        "pages": "2",
        "publisher": "Association for Computing Machinery",
        "research_areas": [
            "InfoVis",
            "VR"
        ],
        "keywords": [
            "Data visualization",
            "Virtual Reality",
            "Egocentric Navigation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "medeiros-2023-gwf-paper.pdf",
                "type": "application/pdf",
                "size": 1351229,
                "path": "Publication:medeiros-2023-gwf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 536,
                "image_height": 320,
                "name": "medeiros-2023-gwf-teaser.png",
                "type": "image/png",
                "size": 116775,
                "path": "Publication:medeiros-2023-gwf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/medeiros-2023-gwf-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/medeiros-2023-gwf/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2023-con",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature-Sized Sampling for Vector Line Art",
        "date": "2023-10-12",
        "abstract": "By introducing a first-of-its-kind quantifiable sampling algorithm based on feature size, we present a fresh perspective on the practical aspects of planar curve sampling. Following the footsteps of ε-sampling, which was originally proposed in the context of curve reconstruction to offer provable topological guarantees [ABE98] under quantifiable bounds, we propose an arbitrarily precise ε-sampling algorithm for sampling smooth planar curves (with a prior bound on the minimum feature size of the curve). This paper not only introduces the first such algorithm which provides user-control and quantifiable precision but also highlights the importance of such a sampling process under two key contexts: 1) To conduct a first study comparing theoretical sampling conditions with practical sampling requirements for reconstruction guarantees that can further be used for analysing the upper bounds of ε for various reconstruction algorithms with or without proofs, 2) As a feature-aware sampling of vector line art that can be used for applications such as coloring and meshing. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 550,
            "image_height": 286,
            "name": "ohrhallinger_stefan-2023-con-image.png",
            "type": "image/png",
            "size": 96497,
            "path": "Publication:ohrhallinger_stefan-2023-con",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1825,
            5297
        ],
        "booktitle": "Proceedings of the 31th Pacific Conference on Computer Graphics and Applications",
        "doi": "https://doi.org/10.2312/pg.20231268",
        "event": "Pacific Graphics, Daejeon, South Korea, 2023",
        "lecturer": [
            948
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "sampling",
            "vector line art",
            "meshing"
        ],
        "weblinks": [
            {
                "href": "https://youtu.be/-x3UujZKe9E?si=QfHIyzQ0hyP3PqM3",
                "caption": "talk",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 550,
                "image_height": 286,
                "name": "ohrhallinger_stefan-2023-con-image.png",
                "type": "image/png",
                "size": 96497,
                "path": "Publication:ohrhallinger_stefan-2023-con",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2023-con-paper.pdf",
                "type": "application/pdf",
                "size": 8132185,
                "path": "Publication:ohrhallinger_stefan-2023-con",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/ohrhallinger_stefan-2023-con-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/ohrhallinger_stefan-2023-con/",
        "__class": "Publication"
    },
    {
        "id": "wimmer-2023-acd",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/188946",
        "title": "Advanced Computational Design",
        "date": "2023-10-07",
        "abstract": "Architecture, Engineering and Construction (AEC) shapes our built environment, exerting substantial environmental, cultural and economic influence on society (New European Bauhaus initiative). However, it is among the least digitized industries, caught in silo-thinking and sequential planning processes. In contrast, Information and Communication Technology creates digital design tools that are well-founded in basic research, but often lack relevant domain knowledge. Therefore, we investigate how to advance digital design tools and design processes through multi- and interdisciplinary basic research in the areas of digital architecture, integrated building design, computer graphics and virtual reality, discrete and applied geometry, and computational mechanics. Particular focus will be placed on complexity that emerges from larger-scale structures, consideration of sustainability requirements, and deeper integration of simulations in the early design phase, where the biggest impact can be achieved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2023-10-04",
        "date_to": "2023-10-07",
        "event": "Advances in Architectural Geometry 2023",
        "lecturer": [
            193
        ],
        "location": "Stuttgart",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Computational Design",
            "Architecture"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wimmer-2023-acd/",
        "__class": "Publication"
    },
    {
        "id": "reisinger-2023-iad",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/188467",
        "title": "Integrating AEC Domain-Specific Multidisciplinary Knowledge for Informed and Interactive Feedback in Early Design Stages",
        "date": "2023-10",
        "abstract": "In the context of digitalization in the industry, a variety of technologies has been developed for system integration and enhanced team collaboration in the Architecture, Engineering and Construction (AEC) industry. Multidisciplinary design requirements are characterized by a high degree of complexity. Early design methods often rely on implicit or experiential design knowledge, whereas contemporary digital design tools mostly reflect domain-specific silo thinking with time-consuming iterative design processes. Yet, the early design stages hold the greatest potential for design optimization. This paper presents a framework of a multidisciplinary computational integration platform for early design stages that enables integration of AEC domain-specific methods from architecture, engineering, mathematics and computer science. The platform couples a semantic integrative mixed reality sketching application to a shape inference machine-learning based algorithm to link methods for different computation, simulation and digital fabrication tasks. A proof of concept of the proposed framework is presented for the use case of a freeform geometry wall. Future research will explore the potential of the framework to be extended to larger building projects with the aim to connect the method into BIM-processes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1874,
            5233,
            1487,
            240,
            1712,
            5202,
            1799,
            193
        ],
        "booktitle": "Advances in Information Technology in Civil and Building Engineering: Proceedings of ICCCBE 2022 - Volume 2",
        "date_from": "2022-10-26",
        "date_to": "2022-10-28",
        "doi": "10.1007/978-3-031-32515-1_12",
        "event": "19th International Conference on Computing in Civil and Building Engineering (ICCCBE 2022)",
        "isbn": "978-3-031-32515-1",
        "lecturer": [
            1874
        ],
        "location": "Cape Town",
        "pages": "18",
        "pages_from": "153",
        "pages_to": "170",
        "publisher": "Springer",
        "volume": "358",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Integrated Design",
            "Early Design Stage",
            "Mixed Reality Sketching",
            "Shape Inference",
            "Computational Design",
            "Integration Platform",
            "Digital Fabrication"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/reisinger-2023-iad/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2023-siv-1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/193548",
        "title": "Scalable Interactive Visual Analysis",
        "date": "2023-09-22",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2023-09-22",
        "date_to": "2023-09-22",
        "event": "Stuttgarter Visualisierungstag 2023",
        "lecturer": [
            166
        ],
        "location": "Stuttgart",
        "research_areas": [],
        "keywords": [
            "Visualisierung"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv-1/",
        "__class": "Publication"
    },
    {
        "id": "el-sherbiny-2023-vai",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/193257",
        "title": "Visual Analytics for the Integrated Exploration and Sensemaking of Cancer Cohort Radiogenomics and Clinical Information",
        "date": "2023-09-19",
        "abstract": "We present a visual analytics (VA) framework for the comprehensive exploration and integrated analysis of radiogenomic and clinical data from a cancer cohort. Our framework aims to support the workflow of cancer experts and biomedical data scientists as they investigate cancer mechanisms. Challenges in the analysis of radiogenomic data, such as the heterogeneity and complexity of the data sets, hinder the exploration and sensemaking of the available patient information. These challenges can be answered through the field of VA, but approaches that bridge radiogenomic and clinical data in an interactive and flexible visual framework are still lacking. Our approach enables the integrated exploration and joint analysis of radiogenomic data and clinical information for knowledge discovery and hypothesis assessment through a flexible VA dashboard. We follow a user-centered design strategy, where we integrate domain knowledge into a semi-automated analytical workflow based on unsupervised machine learning to identify patterns in the patient data provided by our collaborating domain experts. An interactive visual interface further supports the exploratory and analytical process in a free and a hypothesis-driven manner. We evaluate the unsupervised machine learning models through similarity measures and assess the usability of the framework through use cases conducted with cancer experts. Expert feedback indicates that our framework provides suitable and flexible means for gaining insights into large and heterogeneous cancer cohort data, while also being easily extensible to other data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5276,
            5323,
            5324,
            5325,
            1410
        ],
        "booktitle": "VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2023-09-20",
        "date_to": "2023-09-22",
        "doi": "10.2312/vcbm.20231220",
        "event": "EG VCBM 2023",
        "isbn": "978-3-03868-177-9",
        "lecturer": [
            5276
        ],
        "pages": "13",
        "pages_from": "121",
        "pages_to": "133",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Visual Analytics",
            "Human-centered computing",
            "Applied computing",
            "Life and medical sciences"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vai/",
        "__class": "Publication"
    },
    {
        "id": "schindler-2023-sso",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/193253",
        "title": "Smoke Surfaces of 4D Biological Dynamical Systems",
        "date": "2023-09-19",
        "abstract": "To study biological phenomena, mathematical biologists often employ modeling with ordinary differential equations. A system of ordinary differential equations that describes the state of a phenomenon as a moving point in space across time is known as a dynamical system. This moving point emerges from the initial condition of the system and is referred to as a trajectory that “lives” in phase space, i.e., a space that defines all possible states of the system. In our previous work, we proposed ManyLands [AKS∗19]-an approach to explore and analyze typical trajectories of 4D dynamical systems, using smooth, animated transitions to navigate through phase space. However, in ManyLands the comparison of multiple trajectories emerging from different initial conditions does not scale well, due to overdrawing that clutters the view. We extend ManyLands to support the comparative visualization of multiple trajectories of a 4D dynamical system, making use of smoke surfaces. In this way, the sensitivity of the dynamical system to its initialization can be investigated. The 4D smoke surfaces can be further projected onto lower-dimensional subspaces (3D and 2D) with seamless animated transitions. We showcase the capabilities of our approach using two 4D dynamical systems from biology [Gol11, KJS06] and a 4D dynamical system exhibiting chaotic behavior [Bou15].",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1760,
            1170,
            1410
        ],
        "booktitle": "VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2023-09-20",
        "date_to": "2023-09-22",
        "doi": "10.2312/vcbm.20231217",
        "editor": "Höllt, T. and Jönsson, D.",
        "event": "EG VCBM 2023",
        "isbn": "978-3-03868-010-9",
        "lecturer": [
            1760
        ],
        "pages": "5",
        "pages_from": "93",
        "pages_to": "97",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "rendering",
            "Human-centered computing",
            "scientific visualization",
            "Applied computing",
            "Life and medical sciences"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schindler-2023-sso/",
        "__class": "Publication"
    },
    {
        "id": "rippl-2023-atg",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Typogram Generation from 3D Models: A Computer-Aided Approach",
        "date": "2023-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1992,
            "preview_image_height": 1654,
            "name": "rippl-2023-atg-.pdf",
            "type": "application/pdf",
            "size": 15456453,
            "path": "Publication:rippl-2023-atg",
            "preview_name": "rippl-2023-atg-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 173626,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5334
        ],
        "date_end": "2023",
        "date_start": "2023",
        "matrikelnr": "1183435",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1992,
                "preview_image_height": 1654,
                "name": "rippl-2023-atg-.pdf",
                "type": "application/pdf",
                "size": 15456453,
                "path": "Publication:rippl-2023-atg",
                "preview_name": "rippl-2023-atg-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 173626,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/rippl-2023-atg-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rippl-2023-atg/",
        "__class": "Publication"
    },
    {
        "id": "Kugler-2021",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/158174",
        "title": "Reconstructing Production Data from Drawn Limited Animation",
        "date": "2023-09",
        "abstract": "The creation of traditional animation is performed in multiple steps, creating various intermediary products. Image processing and machine learning could be used for the automation of some of these time-consuming steps to help animators and studios. However, machine-learning solutions require large amounts of example data, which are not available for the intermediary products of animation. On the other hand, final animation is more easily available through public datasets, video releases, and streaming services. This work aims to bridge this gap by creating a tool to predict intermediary products of animation from frames of the final video, using machine learning. The predicted production data can then be used for further research. In particular, frames of traditional animation are made out of background and foreground elements, which are produced through different workflows. Foreground elements are created by first creating color-coded lineart. These are then colored and composited with the background. In this work, machine learning is used to undo these steps by separating a final frame into the foreground and background and recreating the lineart from the former.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 574,
            "image_height": 362,
            "name": "Kugler-2021-teaser.JPG",
            "type": "image/jpeg",
            "size": 49935,
            "path": "Publication:Kugler-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "access,date",
        "repositum_presentation_id": null,
        "authors": [
            1632
        ],
        "co_supervisor": [
            1639
        ],
        "date_end": "2023-03-09",
        "date_start": "2020-02",
        "diploma_examina": "2023-03-09",
        "doi": "10.34726/hss.2023.82729",
        "matrikelnr": "01526144",
        "open_access": "yes",
        "pages": "86",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Limited animation",
            "Line arts",
            "Semantic image segmentation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 574,
                "image_height": 362,
                "name": "Kugler-2021-teaser.JPG",
                "type": "image/jpeg",
                "size": 49935,
                "path": "Publication:Kugler-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kugler-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 3725847,
                "path": "Publication:Kugler-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/Kugler-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Kugler-2021/",
        "__class": "Publication"
    },
    {
        "id": "wiesinger-2023-gcg",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "CMake support and build system for a programming framework used in a foundational graphics course",
        "date": "2023-09",
        "abstract": "In the context of this project, a previously Windows-only framework which was used for an introductory graphics course was turned into a CMake-based cross-plattform project, enabling its usage by maintainers and students across all three big desktop operating systems: Windows, Linux, and macOS. Furthermore, two previously separate versions for different graphics APIs (OpenGL and Vulkan) were united into a single project, thereby further improving maintainability and development comfort.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 537,
            "image_height": 531,
            "name": "wiesinger-2023-gcg-image.png",
            "type": "image/png",
            "size": 68846,
            "path": "Publication:wiesinger-2023-gcg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1614
        ],
        "date_end": "2023-09",
        "date_start": "2022-07",
        "matrikelnr": "01429087",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Introduction to Computer Graphics",
            "Foundations of Computer Graphics",
            "C++",
            "CMake",
            "Vulkan",
            "OpenGL",
            "Introductory Graphics Course",
            "Vulkan Launchpad"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter",
                "caption": "Starter Template",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Vulkan Launchpad",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 560,
                "image_height": 280,
                "name": "wiesinger-2023-gcg-.png",
                "type": "image/png",
                "size": 23836,
                "path": "Publication:wiesinger-2023-gcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 537,
                "image_height": 531,
                "name": "wiesinger-2023-gcg-image.png",
                "type": "image/png",
                "size": 68846,
                "path": "Publication:wiesinger-2023-gcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/wiesinger-2023-gcg-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger-2023-gcg/",
        "__class": "Publication"
    },
    {
        "id": "antes-2023-vhv",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing the Human Visual Pathway",
        "date": "2023-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1487,
            "preview_image_height": 1091,
            "name": "antes-2023-vhv-.pdf",
            "type": "application/pdf",
            "size": 13931223,
            "path": "Publication:antes-2023-vhv",
            "preview_name": "antes-2023-vhv-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 84505,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/antes-2023-vhv/antes-2023-vhv-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/antes-2023-vhv/antes-2023-vhv-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5333
        ],
        "date_end": "2023",
        "date_start": "2023",
        "matrikelnr": "11905187",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1487,
                "preview_image_height": 1091,
                "name": "antes-2023-vhv-.pdf",
                "type": "application/pdf",
                "size": 13931223,
                "path": "Publication:antes-2023-vhv",
                "preview_name": "antes-2023-vhv-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 84505,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/antes-2023-vhv/antes-2023-vhv-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/antes-2023-vhv/antes-2023-vhv-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/antes-2023-vhv/",
        "__class": "Publication"
    },
    {
        "id": "bront-2023-svo",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stratification and Visualization of Hepatocellular Carcinoma Patients",
        "date": "2023-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 474,
            "preview_image_height": 472,
            "name": "bront-2023-svo-.pdf",
            "type": "application/pdf",
            "size": 4198935,
            "path": "Publication:bront-2023-svo",
            "preview_name": "bront-2023-svo-:preview.JPG",
            "preview_type": "image/jpeg",
            "preview_size": 27615,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bront-2023-svo/bront-2023-svo-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/bront-2023-svo/bront-2023-svo-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5332
        ],
        "date_end": "2023",
        "date_start": "2023",
        "matrikelnr": "11928262",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 474,
                "preview_image_height": 472,
                "name": "bront-2023-svo-.pdf",
                "type": "application/pdf",
                "size": 4198935,
                "path": "Publication:bront-2023-svo",
                "preview_name": "bront-2023-svo-:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 27615,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bront-2023-svo/bront-2023-svo-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/bront-2023-svo/bront-2023-svo-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bront-2023-svo/",
        "__class": "Publication"
    },
    {
        "id": "Preymann-2022-pytamashii",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scripting Automation for Tamashii",
        "date": "2023-09",
        "abstract": "We extend the Tamashii scientific rendering framework with an interface to the Python scripting language to automate the process of documenting and comparing results of different approaches, simplifying the development of experimental code, and seamlessly integrating with existing libraries. The framework is a research platform enabling the implementation of various graphics processing unit (GPU) driven (differentiable) rendering tasks and is currently under development by the institute for computer graphics at TU Wien. Tamashii offers a large set of premade functionality common to these workflows that can be leveraged by researchers to create their own custom implementations. The focus of this thesis is the integration of the Python programming language into the framework in a way that benefits all projects utilizing Tamashii in their research. With this addition the steps of loading scenes, configuring the rendering process and exporting the generated data can now be controlled using scripting. Furthermore, with the ability to employ Python directly, access to the whole ecosystem of third party software and libraries opens up, which includes many prevalent projects for optimization and machine learning algorithms. In this thesis we identify the required features and properties of such an interface, explain the design process, give technical details on the realization and finally evaluate the result by demonstrating its use.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5199
        ],
        "date_end": "2023-09",
        "date_start": "2022-10",
        "matrikelnr": "e12020638",
        "supervisor": [
            193,
            1946,
            1525
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "BSc thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Preymann-2022-pytamashii-BSc thesis.pdf",
                "type": "application/pdf",
                "size": 7488242,
                "path": "Publication:Preymann-2022-pytamashii",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/Preymann-2022-pytamashii-BSc thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Preymann-2022-pytamashii/",
        "__class": "Publication"
    },
    {
        "id": "Schwengerer_Mathias-2022-BGL",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Inverse Method for Baked Lighting",
        "date": "2023-08-23",
        "abstract": "In this thesis, we present a novel application of inverse rendering through the use case of estimating light source parameters from baked lighting information bundled with a 3D scene.\nAs input, we use a scene file that contains the geometry and the baked lighting information of a scene.\nThe extracted scene information is then used to estimate a lighting configuration.\nWith the resulting lighting configuration, it is possible to reproduce a closely matched shading of the scene.\n\nBecause of hardware limitations, real-time rendering applications such as video games have historically provided limited realism in terms of lighting.\nBaked lighting was a common method used to illuminate the scene under real-time constraints.\nNowadays, hardware-supported ray tracing enables dynamic lighting and global illumination in real time.\nOur method aims to build a physically based lighting setup that comes as close to the baked lightmaps as possible.\nThis reconstructed lighting setup allows the relighting of the scene through advanced rendering effects such as dynamic lighting, indirect lighting, reflections, refractions, and soft shadows.\nThis could facilitate the process of bringing classic games up to modern standards, especially when the original data is unavailable or lost.\n\nThis project relies on a differentiable rendering framework under development in the Rendering and Modeling Group (Prof. Wimmer, TU Wien).\nThe goal of this bachelor's thesis is to evaluate and demonstrate the capabilities of an inverse rendering method built on this system.\nSpecifically, we aim to estimate light sources from existing precalculated lightmaps used in the game Quake III Arena.\nFor this purpose, our first step is to extract the geometry and lightmaps from a scene file, import the data into the rendering framework, and then implement a suitable optimization scheme to construct new light sources.\nWith these new light sources, we can render the scenes using ray tracing and global illumination to achieve realistic lighting effects, including indirect lighting, accurate reflections, and soft shadows.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1916
        ],
        "date_end": "2023-08-23",
        "date_start": "2021-12-22",
        "matrikelnr": "e1527875",
        "supervisor": [
            193,
            1525,
            1946
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "lighting",
            "inverse rendering",
            "optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "main document",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schwengerer_Mathias-2022-BGL-Thesis.pdf",
                "type": "application/pdf",
                "size": 4753811,
                "path": "Publication:Schwengerer_Mathias-2022-BGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/Schwengerer_Mathias-2022-BGL-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Schwengerer_Mathias-2022-BGL/",
        "__class": "Publication"
    },
    {
        "id": "withalm_brigitte-2022-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transport Mode Detection Segmentation",
        "date": "2023-08-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5230
        ],
        "date_end": "2023-08-18",
        "date_start": "2022-03-15",
        "matrikelnr": "01126733",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "modal split",
            "segmentation",
            "transport"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 813,
                "image_height": 326,
                "name": "withalm_brigitte-2022-baa-image.png",
                "type": "image/png",
                "size": 38046,
                "path": "Publication:withalm_brigitte-2022-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "withalm_brigitte-2022-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 4351326,
                "path": "Publication:withalm_brigitte-2022-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/withalm_brigitte-2022-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/withalm_brigitte-2022-baa/",
        "__class": "Publication"
    },
    {
        "id": "irger-2023-ves",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing and Explaining Space Weather Phenomena in Virtual Reality",
        "date": "2023-08-19",
        "abstract": "This thesis presents a concept for creating a virtual reality application that educates users about space weather. It provides a summary of space weather research focusing on the\nphenomena and the risks they carry for us. A storyline is created that captures all the key messages. The concept is divided into scenes, containing implementation details for\neach scene. Scene elements are discussed, as to whether they should integrate real data,\nsimulated data, or standard 3D models. How VR plays a role as well as implementation\ndetails are stated. To conclude the concept, a narrated storyboard mockup is discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "cover",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1742,
            "image_height": 904,
            "name": "irger-2023-ves-cover.PNG",
            "type": "image/png",
            "size": 1558159,
            "path": "Publication:irger-2023-ves",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5286
        ],
        "matrikelnr": "11912783",
        "supervisor": [
            166,
            204
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "cover",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1742,
                "image_height": 904,
                "name": "irger-2023-ves-cover.PNG",
                "type": "image/png",
                "size": 1558159,
                "path": "Publication:irger-2023-ves",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-cover:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "irger-2023-ves-thesis.pdf",
                "type": "application/pdf",
                "size": 71640507,
                "path": "Publication:irger-2023-ves",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/irger-2023-ves-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/irger-2023-ves/",
        "__class": "Publication"
    },
    {
        "id": "voglreiter-2023-tro",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/189596",
        "title": "Trim Regions for Online Computation of From-Region Potentially Visible Sets",
        "date": "2023-08",
        "abstract": "Visibility computation is a key element in computer graphics applications. More specifically, a from-region potentially visible set (PVS) is an established tool in rendering acceleration, but its high computational cost means a from-region PVS is almost always precomputed. Precomputation restricts the use of PVS to static scenes and leads to high storage cost, in particular, if we need fine-grained regions. For dynamic applications, such as streaming content over a variable-bandwidth network, online PVS computation with configurable region size is required. We address this need with trim regions, a new method for generating from-region PVS for arbitrary scenes in real time. Trim regions perform controlled erosion of object silhouettes in image space, implicitly applying the shrinking theorem known from previous work. Our algorithm is the first that applies automatic shrinking to unconstrained 3D scenes, including non-manifold meshes, and does so in real time using an efficient GPU execution model. We demonstrate that our algorithm generates a tight PVS for complex scenes and outperforms previous online methods for from-viewpoint and from-region PVS. It runs at 60 Hz for realistic game scenes consisting of millions of triangles and computes PVS with a tightness matching or surpassing existing approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 302,
            "image_height": 167,
            "name": "voglreiter-2023-tro-teaser.jpg",
            "type": "image/jpeg",
            "size": 10478,
            "path": "Publication:voglreiter-2023-tro",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5298,
            1650,
            5299,
            5300,
            5301,
            1662,
            202
        ],
        "articleno": "85",
        "doi": "10.1145/3592434",
        "issn": "1557-7368",
        "journal": "ACM Transactions on Graphics",
        "number": "4",
        "pages": "15",
        "pages_from": "1",
        "pages_to": "15",
        "publisher": "ASSOC COMPUTING MACHINERY",
        "volume": "42",
        "research_areas": [],
        "keywords": [
            "potentially visible sets",
            "real-time",
            "occlusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 302,
                "image_height": 167,
                "name": "voglreiter-2023-tro-teaser.jpg",
                "type": "image/jpeg",
                "size": 10478,
                "path": "Publication:voglreiter-2023-tro",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/voglreiter-2023-tro-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9275",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/voglreiter-2023-tro/",
        "__class": "Publication"
    },
    {
        "id": "rasoulzadeh-2023-ani",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/189820",
        "title": "A Novel Integrative Design Framework Combining 4D Sketching, Geometry Reconstruction, Micromechanics Material Modelling, and Structural Analysis",
        "date": "2023-08",
        "abstract": "State-of-the-art workflows within Architecture, Engineering, and Construction (AEC) are still caught in sequential planning processes. Digital design tools in this domain often lack proper communication between different stages of design and relevant domain knowledge. Furthermore, decisions made in the early stages of design, where sketching is used to initiate, develop, and communicate ideas, heavily impact later stages, resulting in the need for rapid feedback to the architectural designer so they can proceed with adequate knowledge about design implications. Accordingly, this paper presents research on a novel integrative design framework based on a recently developed 4D sketching interface, targeted for architectural design as a form-finding tool coupled with three modules: (1) a Geometric Modelling module, which utilises Points2Surf as a machine learning model for automatic surface mesh reconstruction from the point clouds produced by sketches, (2) a Material Modelling module, which predicts the mechanical properties of biocomposites based on multiscale micromechanics homogenisation techniques, and (3) a Structural Analysis module, which assesses the mechanical performance of the meshed structure on the basis of the predicted material properties using finite element simulations. The proposed framework is a step towards using material-informed design already in the early stages of design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5233,
            5303,
            5304,
            1874,
            1799,
            5209,
            193
        ],
        "articleno": "102074",
        "doi": "10.1016/j.aei.2023.102074",
        "issn": "1873-5320",
        "journal": "Advanced Engineering Informatics",
        "publisher": "ELSEVIER SCI LTD",
        "volume": "57",
        "research_areas": [],
        "keywords": [
            "3D reconstruction",
            "Biocomposite",
            "Early-design stage",
            "Finite element analysis",
            "Machine learning",
            "Material-informed",
            "Micromechanics",
            "Multiscale modelling",
            "Sketch-based interface",
            "Sketch-based modelling",
            "Structural analysis"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rasoulzadeh-2023-ani/",
        "__class": "Publication"
    },
    {
        "id": "steinschorn-2023-p2m",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction for a photogrammetry webservice",
        "date": "2023-08",
        "abstract": "Subject of this student project is the reconstruction and evaluation part for a photogrammetry webservice. It consists of Screened Poisson Surface Reconstruction, test scenes and metrics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Pix2Model Evaluation Example",
            "filetitle": "pix2model_eval",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1914,
            "image_height": 775,
            "name": "steinschorn-2023-p2m-pix2model_eval.png",
            "type": "image/png",
            "size": 971490,
            "path": "Publication:steinschorn-2023-p2m",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1757
        ],
        "date_end": "2023-08",
        "date_start": "2021-06",
        "matrikelnr": "1227109",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://netidee.cg.tuwien.ac.at/",
                "caption": "Pix2Model Live-System",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/ErlerPhilipp/Pix2Model",
                "caption": "Pix2Model Repo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Pix2Model Evaluation Example",
                "filetitle": "pix2model_eval",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1914,
                "image_height": 775,
                "name": "steinschorn-2023-p2m-pix2model_eval.png",
                "type": "image/png",
                "size": 971490,
                "path": "Publication:steinschorn-2023-p2m",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-pix2model_eval:thumb{{size}}.png"
            },
            {
                "description": "Pix2Model tech report draft",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinschorn-2023-p2m-report.pdf",
                "type": "application/pdf",
                "size": 24898687,
                "path": "Publication:steinschorn-2023-p2m",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/steinschorn-2023-p2m-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "d4388"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/steinschorn-2023-p2m/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2023-siv-2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/194028",
        "title": "Scalable Interactive Visual Analysis",
        "date": "2023-07-22",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2023-07-21",
        "date_to": "2023-07-24",
        "event": "ChinaVis 2023 - 10th China Visualization and Visual Analytics Conference",
        "lecturer": [
            166
        ],
        "location": "Chongqing",
        "research_areas": [],
        "keywords": [
            "Visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-siv-2/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2023-ivd",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/193534",
        "title": "Interactive Visual Data Analysis'How to do a Successful PhD (in Visual Computing)'",
        "date": "2023-07-18",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2023-07-10",
        "date_to": "2023-07-19",
        "event": "14th PKU International Visualization Summer School 2023",
        "lecturer": [
            166
        ],
        "location": "Peking",
        "research_areas": [],
        "keywords": [
            "Computer Graphics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-ivd/",
        "__class": "Publication"
    },
    {
        "id": "Liang-2023-TVR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smooth textured surface reconstruction from point cloud rendered images as well as path traced images using variational methods",
        "date": "2023-07-16",
        "abstract": "In this work, we propose total variation-based methods for smoothing textured surfaces in point-based rendering and reducing noise in Monte Carlo-rendered images. Initially, we survey the challenges and existing state-of-the-art methodologies in these two research domains. Subsequently, we delve into the details of our proposed total variational models, each aimed at smoothing point-rendered textured surfaces and reducing noise in Monte Carlo-rendered images, respectively. For smoothing textured surfaces in point-based rendering, our model incorporates geometric features and is then combined with an advanced Pull-Push method. This combined approach enables us to effectively fill gaps and smooth\ndiscontinuous surfaces. The models tailored for denoising Monte Carlo-rendered images leverage noise-free auxiliary features and noise estimation techniques. Our approach efficiently eliminates noise while preserving crucial image features. We conduct comprehensive comparison experiments against existing state-of-the-art techniques to evaluate the effectiveness of our methods. Although our implementations are currently offline, both the smoothing and denoising processes can be achieved within a few iterations. Given the\nsimplicity of our approach’s implementation, we foresee the potential for a GPU-based implementation, paving the way towards real-time applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1080,
            "image_height": 1080,
            "name": "Liang-2023-TVR-image.png",
            "type": "image/png",
            "size": 1233953,
            "path": "Publication:Liang-2023-TVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5241
        ],
        "date_end": "2023-07-16",
        "date_start": "2023-01-16",
        "diploma_examina": "2023-07-28",
        "matrikelnr": "03737290",
        "supervisor": [
            1954,
            193,
            5283,
            5284,
            1028
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1080,
                "image_height": 1080,
                "name": "Liang-2023-TVR-image.png",
                "type": "image/png",
                "size": 1233953,
                "path": "Publication:Liang-2023-TVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Liang-2023-TVR-Thesis.pdf",
                "type": "application/pdf",
                "size": 81497908,
                "path": "Publication:Liang-2023-TVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/Liang-2023-TVR-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Liang-2023-TVR/",
        "__class": "Publication"
    },
    {
        "id": "shakhova-2023-atp",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Authoring Tool Prototype for Dashboard Onboarding Generation",
        "date": "2023-07-10",
        "abstract": "Data visualization is an effective way to gain insights into various problems and improve\nthe data-driven decision-making process, however it can often be complex and overwhelming.\nTo enhance the interpretation and understanding of data, a proper onboarding\nprocess is required. Onboarding provides clarity on the visualization scope and purpose\nfor users with different levels of expertise. The development of the onboarding process is\nfacilitated with a suitable authoring tool. Though utilizing authoring tools, especially by\ncreators with deficient visual design skills, can be quite challenging.\nIn this thesis, we introduce an interface design for the authoring tool within the scope\nof the dashboard onboarding process. We are focusing on the constrained non-linear\nnarrative and applying the approach of a branching story graph that is implemented\nas a node editor. The provided interface can be extended to develop more profound\nstorytelling strategies and aim to create a more complex and highly interactive onboarding\nprocess.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5285
        ],
        "matrikelnr": "01327973",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "shakhova-2023-atp-Thesis.pdf",
                "type": "application/pdf",
                "size": 1558866,
                "path": "Publication:shakhova-2023-atp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/shakhova-2023-atp-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/shakhova-2023-atp-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shakhova-2023-atp/",
        "__class": "Publication"
    },
    {
        "id": "wiesinger_klemens-2023-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using a Drone for Automated 3D Scanning",
        "date": "2023-07-04",
        "abstract": "Tasks für BA:\n- get drone to fly and transmit from raspi to server\n- transmit best coordinates (relative vector, relative angles) from output of guided scanning infinitam plugin to drone\n- evaluate with manual control with a user study on how fast and complete an interior room can be scanned",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 480,
            "image_height": 313,
            "name": "wiesinger_klemens-2023-baa-image.png",
            "type": "image/png",
            "size": 233669,
            "path": "Publication:wiesinger_klemens-2023-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5296
        ],
        "date_end": "2025-03-28",
        "date_start": "2023-07-04",
        "matrikelnr": "011938253",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "drone flying",
            "client-server",
            "3d scanning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 480,
                "image_height": 313,
                "name": "wiesinger_klemens-2023-baa-image.png",
                "type": "image/png",
                "size": 233669,
                "path": "Publication:wiesinger_klemens-2023-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/wiesinger_klemens-2023-baa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wiesinger_klemens-2023-baa/",
        "__class": "Publication"
    },
    {
        "id": "herzberger-2023-swv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/188243",
        "title": "Scalable Web-based Volume Rendering for Large-scale Biomedical Data Sets",
        "date": "2023-07",
        "abstract": "Recent advances in imaging modalities produce large-scale volumetric data sets with a large number of channels. Interactive visualization of such data sets requires out-of-core direct volume rendering (DVR) methods such as octrees or page-table hierarchies. For this reason, data sets are both down-sampled into a multi-resolution hierarchy and divided into smaller bricks, in order to stream only those parts of the volume contributing to the rendered image to the GPU. Furthermore, rendering multiple channels requires careful optimization because the high computational cost of DVR grows with the number of channels to render. A common optimization in DVR is empty-space skipping where fully translucent regions in the volume are not sampled to reduce the number of loop iterations and texture look-ups during rendering. Previous out-of-core DVR methods are designed for single-channel volumes and are only suitable for multi-channel volumes to a limited extent. In octree-based methods, accessing cached volume data requires traversing the tree for each sample and channel. Furthermore, in previous approaches, the spatial subdivision of the octree is intrinsically coupled to the down-sampling ratio and bricking granularity in the data set. This leads to suboptimal cache utilization and makes fine-grained empty-space skipping costly. Page-table hierarchies, on the other hand, allow access to any cached brick from any resolution without traversing a tree structure. However, their support for empty-space skipping is also tied to the bricking granularity in the data set and is thus limited. We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. We enable flexible mixed-resolution out-of-core multi- volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree. Instead of one-to-one node-to-brick correspondences, each residency octree node is mapped to a set of bricks in each resolution level. This makes it possible to efficiently and adaptively choose and mix resolutions, adapt sampling rates, and compensate for cache misses. At the same time, residency octrees support fine-grained empty-space skipping, independent of the data subdivision used for caching. Finally, to facilitate collaboration and outreach, and to eliminate local data storage, our implementation is a web-based, pure client-side renderer using WebGPU and WebAssembly. Our method is faster than prior approaches and efficient for many data channels with a flexible and adaptive choice of data resolution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Figure 1.1: Overview of our method. Volume bricks of different resolution levels and channels are streamed into a\nbrick cache (a), and referenced via a multi-channel page-table hierarchy (b). The residency octree (c) keeps track of the\ncorrespondence between spatial regions and the cache residency of bricks of different resolutions, enabling mixed-resolution,\nmulti-channel rendering (d) with efficient, adaptive substitution of missing higher resolutions by available lower resolutions.\nTraversal happens for spatial regions corresponding to octree nodes instead of memory pages and is also independent of the\nnumber of channels. (e) 16-channel rendering of melanoma.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3174,
            "image_height": 1167,
            "name": "herzberger-2023-swv-teaser.png",
            "type": "image/png",
            "size": 930066,
            "path": "Publication:herzberger-2023-swv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,co_supervisor",
        "repositum_presentation_id": null,
        "authors": [
            1857
        ],
        "co_supervisor": [
            818
        ],
        "date_end": "2023-07",
        "date_start": "2022-10",
        "diploma_examina": "2023-09-27",
        "doi": "10.34726/hss.2023.106203",
        "matrikelnr": "01006039",
        "open_access": "yes",
        "pages": "99",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "ray-guided rendering",
            "large-scale data",
            "out-of-core rendering",
            "multi-resolution data",
            "multi-channel volumes",
            "web-based visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Figure 1.1: Overview of our method. Volume bricks of different resolution levels and channels are streamed into a\nbrick cache (a), and referenced via a multi-channel page-table hierarchy (b). The residency octree (c) keeps track of the\ncorrespondence between spatial regions and the cache residency of bricks of different resolutions, enabling mixed-resolution,\nmulti-channel rendering (d) with efficient, adaptive substitution of missing higher resolutions by available lower resolutions.\nTraversal happens for spatial regions corresponding to octree nodes instead of memory pages and is also independent of the\nnumber of channels. (e) 16-channel rendering of melanoma.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3174,
                "image_height": 1167,
                "name": "herzberger-2023-swv-teaser.png",
                "type": "image/png",
                "size": 930066,
                "path": "Publication:herzberger-2023-swv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "herzberger-2023-swv-thesis.pdf",
                "type": "application/pdf",
                "size": 2202768,
                "path": "Publication:herzberger-2023-swv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/herzberger-2023-swv-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/herzberger-2023-swv/",
        "__class": "Publication"
    },
    {
        "id": "kovacs-2023-ttm",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/190592",
        "title": "The theatre metaphor for spatial computing in architectural design",
        "date": "2023-06-20",
        "abstract": "New digital technologies require new conceptual approaches to help potential users understand existing\nand envision new use cases and applications. Moving from desktop computing to spatial computing\n(virtual, augmented, mixed and extended reality environments) also requires the introduction of new\nmetaphors. New interaction and visualisation possibilities afforded by current devices are causing virtual\nand real worlds to merge into an inseparable unity of reality and imagination.\nThere are many similarities between theatre and AEC workflows. However, the theatre process is scaled\ndown in terms of space, time, and budget, and is therefore better suited to explore innovative and\nexperimental methods. In order to conceptualise the role of a novel spatial computing drawing tool\n(MR.Sketch) in existing AEC processes, we propose the theatre metaphor, which embeds the\nconceptual foundations of the tool in a collaborative design workflow based on the cooperation of\ndifferent domain experts.\nThe metaphor proposal includes the analysis of the following theatre concepts: integrative collaboration\nwith specialists, stage infrastructure, workshops for different tools and manufacturing methods, stocks\nand the immersive experience of space and time in different scales. We illustrate the capabilities of the\ntheatre metaphor to cover the entire creation and performance process of architectural design in an\nexperimental mixed reality sketching application. The implementation of an early prototype of the\nsketching application was used to evaluate the applicability of the theatre metaphor to spatial computing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 337,
            "image_height": 220,
            "name": "kovacs-2023-ttm-image.jpg",
            "type": "image/jpeg",
            "size": 7460,
            "path": "Publication:kovacs-2023-ttm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1487,
            5315,
            5316,
            1525,
            193,
            240
        ],
        "booktitle": "Proceedings of the Creative Construction Conference 2023",
        "date_from": "2023-06-20",
        "date_to": "2023-06-23",
        "doi": "10.3311/CCC2023-087",
        "editor": "Skibniewski, Miroslaw and Hajdu, Miklós",
        "event": "Creative Construction Conference 2023",
        "isbn": "978-615-5270-79-6",
        "lecturer": [
            1487
        ],
        "location": "Keszthely",
        "open_access": "yes",
        "pages": "10",
        "pages_from": "674",
        "pages_to": "683",
        "publisher": "Budapest University of Technology and Economics",
        "research_areas": [],
        "keywords": [
            "Computing",
            "architectural design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 337,
                "image_height": 220,
                "name": "kovacs-2023-ttm-image.jpg",
                "type": "image/jpeg",
                "size": 7460,
                "path": "Publication:kovacs-2023-ttm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kovacs-2023-ttm-paper.pdf",
                "type": "application/pdf",
                "size": 1250121,
                "path": "Publication:kovacs-2023-ttm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/kovacs-2023-ttm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kovacs-2023-ttm/",
        "__class": "Publication"
    },
    {
        "id": "eschner-2023-rar",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/177341",
        "title": "Real-Time Avalanche Risk Visualization on a Large-Scale Geospatial Dataset",
        "date": "2023-06-07",
        "abstract": "Every winter season reports of fatal avalanche accidents in the Alps are part of the news cycle. Data for tour planning with avalanche risk evaluation is available to recreationists in the form of daily avalanche reports and outdoor maps. These data are, however, distributed across different sources and have to be manually integrated by the end user to arrive at a risk value for a given tour. Risk reduction methods provide a framework for this integration process and thereby allow mountaineers to judge the overall risk and determine potential high-risk areas beforehand. We present an integrated risk visualization tool to support risk-averse tour planning for backcountry skiing. Based on a high-resolution Digital Elevation Model (DEM), our visualization displays avalanche risk levels in real-time as a web-based 2.5D map application. Different static and dynamic avalanche risk layers are rendered on the Graphics Processing Unit (GPU) covering the alpine regions of Austria. By implementing a prototype application, we show that reduction methods can be evaluated in real-time based on existing data sources consisting of a Digital Elevation Model (DEM) and the per-region avalanche report for Austria. This evaluation allows us to visualize localized avalanche risk for a large area. To evaluate our prototype visualization, we conducted a pilot user study. The results of the study show that users have low trust in an integrated risk visualization when they are not familiar with the underlying risk reduction method. However, results also indicate that the combination of a 2.5D map with our integrated risk layer facilitates the identification of potential high-risk areas. We conclude that our work provides a foundation for an integrated risk avalanche risk visualization, however, further validation steps are still necessary.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2560,
            "image_height": 1440,
            "name": "eschner-2023-rar-.png",
            "type": "image/png",
            "size": 6882194,
            "path": "Publication:eschner-2023-rar",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1653
        ],
        "co_supervisor": [
            1013
        ],
        "date_end": "2023-05",
        "date_start": "2022-05",
        "diploma_examina": "2023-06-07",
        "doi": "10.34726/hss.2023.102961",
        "matrikelnr": "01633402",
        "open_access": "yes",
        "pages": "114",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [
            "risk visualization",
            "real-time visualization",
            "avalanche risk",
            "terrain visualization",
            "2.5D mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "eschner-2023-rar-.png",
                "type": "image/png",
                "size": 6882194,
                "path": "Publication:eschner-2023-rar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-2023-rar-thesis.pdf",
                "type": "application/pdf",
                "size": 15260006,
                "path": "Publication:eschner-2023-rar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/eschner-2023-rar-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-rar/",
        "__class": "Publication"
    },
    {
        "id": "pistellato-2023-elp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/177652",
        "title": "Exploiting Light Polarization for Deep HDR Imaging from a Single Exposure",
        "date": "2023-06-02",
        "abstract": "In computational photography, high dynamic range (HDR) imaging refers to the family of techniques used to recover a wider range of intensity values compared to the limited range provided by standard sensors. Classical techniques consist of acquiring a scene-varying exposure to compensate for saturated and underexposed regions, followed by a non-linear compression of intensity values called tone mapping. Recently, there has been a growing interest in estimating HDR images from a single exposure. Some methods exploit data-driven models trained to estimate values outside the camera’s visible intensity levels. Others make use of polarimetric cameras to reconstruct HDR information without exposure bracketing. In this paper, we present a novel HDR reconstruction method that employs a single PFA (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures. Our contribution consists of a pipeline that effectively combines standard HDR algorithms based on bracketing and data-driven solutions designed to work with polarimetric images. In this regard, we present a novel CNN (convolutional neural network) model that exploits the underlying mosaiced pattern of the PFA in combination with the external polarizer to estimate the original scene properties, and a second model designed to further improve the final tone mapping step. The combination of such techniques enables us to take advantage of the light attenuation given by the filters while producing an accurate reconstruction. We present an extensive experimental section in which we validate the proposed method on both synthetic and real-world datasets specifically acquired for the task. Quantitative and qualitative results show the effectiveness of the approach when compared to state-of-the-art methods. In particular, our technique exhibits a PSNR (peak signal-to-noise ratio) on the whole test set equal to 23 dB, which is 18% better with respect to the second-best alternative.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1224,
            "image_height": 1024,
            "name": "pistellato-2023-elp-image.jpg",
            "type": "image/jpeg",
            "size": 84884,
            "path": "Publication:pistellato-2023-elp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            5277,
            5278,
            193
        ],
        "articleno": "5370",
        "doi": "10.3390/s23125370",
        "issn": "1424-8220",
        "journal": "Sensors",
        "number": "12",
        "open_access": "yes",
        "pages": "23",
        "publisher": "MDPI",
        "volume": "23",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "PFA camera",
            "deep learning",
            "high dynamic range imaging",
            "polarimetric imaging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1224,
                "image_height": 1024,
                "name": "pistellato-2023-elp-image.jpg",
                "type": "image/jpeg",
                "size": 84884,
                "path": "Publication:pistellato-2023-elp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pistellato-2023-elp-paper.pdf",
                "type": "application/pdf",
                "size": 32651175,
                "path": "Publication:pistellato-2023-elp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/pistellato-2023-elp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pistellato-2023-elp/",
        "__class": "Publication"
    },
    {
        "id": "arbesser_ba_2023",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing the Flow of Healthcare Data",
        "date": "2023-06",
        "abstract": "The flow of medical data in a modern and interconnected society between large numbers\nof stakeholders and institutions forms an intricate network. Due to size and complexity,\nthis network is hard to traverse for anyone wishing to gain insight into where their\nmedical data ends up. Visualisation can be used as a powerful tool, in order to make this\nflow of data more accessible and easier to understand for experts and everyday people,\nincreasing transparency and readability. This work aims to explore ways to visualise\nparts of this network and provide a framework that visualises the connections between\nthe different stakeholders in it and the data they exchange. The implementation will\nbe done as a web application which provides interactivity to improve user experience.\nThis interactivity will implement the visual information-seeking mantra, by giving an\noverview first and allowing zooming, filtering and showing details on demand. Whether\nthe set requirements were met will be determined by gathering feedback from expert\nusers about their experience in using the application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1229,
            "image_height": 412,
            "name": "arbesser_ba_2023-teaser.png",
            "type": "image/png",
            "size": 133874,
            "path": "Publication:arbesser_ba_2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5279
        ],
        "date_end": "2023-06",
        "date_start": "2022-11",
        "matrikelnr": "01625725",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1229,
                "image_height": 412,
                "name": "arbesser_ba_2023-teaser.png",
                "type": "image/png",
                "size": 133874,
                "path": "Publication:arbesser_ba_2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "arbesser_ba_2023-thesis.pdf",
                "type": "application/pdf",
                "size": 2885571,
                "path": "Publication:arbesser_ba_2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/arbesser_ba_2023-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/arbesser_ba_2023/",
        "__class": "Publication"
    },
    {
        "id": "eschner-2023-ims",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/187705",
        "title": "Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations",
        "date": "2023-06",
        "abstract": "3D animations are an effective method to learn about complex dynamic phenomena, such as mesoscale biological processes. The animators’ goals are to convey a sense of the scene’s overall complexity while, at the same time, visually guiding the user through a story of subsequent events embedded in the chaotic environment. Animators use a variety of visual emphasis techniques to guide the observers’ attention through the story, such as highlighting, halos – or by manipulating motion parameters of the scene. In this paper, we investigate the effect of smoothing the motion of contextual scene elements to attract attention to focus elements of the story exhibiting high-frequency motion. We conducted a crowdsourced study with 108 participants observing short animations with two illustrative motion smoothing strategies: geometric smoothing through noise reduction of contextual motion trajectories and visual smoothing through motion blur of context items. We investigated the observers’ ability to follow the story as well as the effect of the techniques on speed perception in a molecular scene. Our results show that moderate motion blur significantly improves users’ ability to follow the story. Geometric motion smoothing is less effective but increases the visual appeal of the animation. However, both techniques also slow down the perceived speed of the animation. We discuss the implications of these results and derive design guidelines for animators of complex dynamic visualizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1400,
            "image_height": 1080,
            "name": "eschner-2023-ims-teaser.png",
            "type": "image/png",
            "size": 1527403,
            "path": "Publication:eschner-2023-ims",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "event,lecturer,location,projects",
        "repositum_presentation_id": null,
        "authors": [
            1653,
            935,
            1110
        ],
        "doi": "10.1111/cgf.14836",
        "event": "EuroVis 2023",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1653
        ],
        "location": "Leipzig, Germany",
        "number": "3",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "361",
        "pages_to": "372",
        "publisher": "WILEY",
        "volume": "42",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Perception"
        ],
        "keywords": [
            "Empirical studies in visualization",
            "Animation"
        ],
        "weblinks": [
            {
                "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.14836",
                "caption": "Computer Graphics Forum",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-2023-ims-paper.pdf",
                "type": "application/pdf",
                "size": 9072344,
                "path": "Publication:eschner-2023-ims",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1400,
                "image_height": 1080,
                "name": "eschner-2023-ims-teaser.png",
                "type": "image/png",
                "size": 1527403,
                "path": "Publication:eschner-2023-ims",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-2023-ims-video.mp4",
                "type": "video/mp4",
                "size": 16270968,
                "path": "Publication:eschner-2023-ims",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/eschner-2023-ims-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/eschner-2023-ims/",
        "__class": "Publication"
    },
    {
        "id": "webGPU_aggregateVis-2023",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": "20.500.12708/187891",
        "title": "WebGPU for Scalable Client-Side Aggregate Visualization",
        "date": "2023-06",
        "abstract": "WebGPU is a new graphics API, which now provides compute shaders for general purpose GPU operations in web browsers. We demonstrate the potential of this new technology for scalable information visualization by showing how to filter and aggregate a spatio-temporal dataset with millions of temperature measurements for real-time interactive exploration of climate change.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1460,
            "image_height": 820,
            "name": "webGPU_aggregateVis-2023-teaser.png",
            "type": "image/png",
            "size": 1143735,
            "path": "Publication:webGPU_aggregateVis-2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "abstract,date",
        "repositum_presentation_id": null,
        "authors": [
            1869,
            5238,
            1110
        ],
        "booktitle": "EuroVis 2023 - Posters",
        "date_from": "2023-06-12",
        "date_to": "2023-06-16",
        "doi": "10.2312/evp.20231079",
        "event": "25th EG Conference on Visualization (EuroVis 2023)",
        "isbn": "978-3-03868-220-2",
        "lecturer": [
            1110
        ],
        "location": "Leipzig",
        "pages": "3",
        "pages_from": "105",
        "pages_to": "107",
        "publisher": "Eurographics",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Information visualization",
            "Aggregate visualization",
            "Scalable visualization",
            "WebGPU"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/xmlui/handle/10.2312/evp20231079",
                "caption": "Eurographics Digital Library",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://ccexplorer.github.io/",
                "caption": "Climate Change Explorer",
                "description": "online demo",
                "main_file": 1
            },
            {
                "href": "https://cde.gkdev.at/cde/?db=cdata_interp_2bit_0.lzma",
                "caption": "large demo",
                "description": "Demo with more data points",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "extended abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "webGPU_aggregateVis-2023-extended abstract.pdf",
                "type": "application/pdf",
                "size": 1466660,
                "path": "Publication:webGPU_aggregateVis-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-extended abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-extended abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "webGPU_aggregateVis-2023-poster.pdf",
                "type": "application/pdf",
                "size": 1114759,
                "path": "Publication:webGPU_aggregateVis-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1460,
                "image_height": 820,
                "name": "webGPU_aggregateVis-2023-teaser.png",
                "type": "image/png",
                "size": 1143735,
                "path": "Publication:webGPU_aggregateVis-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/webGPU_aggregateVis-2023-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/webGPU_aggregateVis-2023/",
        "__class": "Publication"
    },
    {
        "id": "indirectBiasLanguageModels-2023",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/187890",
        "title": "Visual Exploration of Indirect Bias in Language Models",
        "date": "2023-06",
        "abstract": "Language models are trained on large text corpora that often include stereotypes. This can lead to direct or indirect bias in downstream applications. In this work, we present a method for interactive visual exploration of indirect multiclass bias learned by contextual word embeddings. We introduce a new indirect bias quantification score and present two interactive visualizations to explore interactions between multiple non-sensitive concepts (such as sports, occupations, and beverages) and sensitive attributes (such as gender or year of birth) based on this score.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1904,
            "image_height": 619,
            "name": "indirectBiasLanguageModels-2023-teaser.png",
            "type": "image/png",
            "size": 81826,
            "path": "Publication:indirectBiasLanguageModels-2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,location,keywords",
        "repositum_presentation_id": null,
        "authors": [
            5211,
            1110
        ],
        "booktitle": "EuroVis 2023 - Short Papers",
        "date_from": "2023-06-12",
        "date_to": "2023-06-16",
        "doi": "10.2312/evs.20231034",
        "event": "25th EG Conference on Visualization (EuroVis 2023)",
        "isbn": "978-3-03868-219-6",
        "lecturer": [
            1110
        ],
        "location": "Leipzig, Germany",
        "open_access": "yes",
        "pages": "5",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual analytics",
            "language models",
            "bias"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/evs20231034",
                "caption": "Eurographics Digital Library",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.cg.tuwien.ac.at/IndirectBiasVis",
                "caption": "online demo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "indirectBiasLanguageModels-2023-paper.pdf",
                "type": "application/pdf",
                "size": 465161,
                "path": "Publication:indirectBiasLanguageModels-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplement",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "indirectBiasLanguageModels-2023-supplement.pdf",
                "type": "application/pdf",
                "size": 124948,
                "path": "Publication:indirectBiasLanguageModels-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-supplement:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1904,
                "image_height": 619,
                "name": "indirectBiasLanguageModels-2023-teaser.png",
                "type": "image/png",
                "size": 81826,
                "path": "Publication:indirectBiasLanguageModels-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "indirectBiasLanguageModels-2023-video.mp4",
                "type": "video/mp4",
                "size": 51440954,
                "path": "Publication:indirectBiasLanguageModels-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/indirectBiasLanguageModels-2023-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "d9282"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/indirectBiasLanguageModels-2023/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2023-LOD",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/191989",
        "title": "GPU‐Accelerated LOD Generation for Point Clouds",
        "date": "2023-06",
        "abstract": "About:\nWe introduce a GPU-accelerated LOD construction process that creates a hybrid voxel-point-based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the GPU allow us to improve the quality of lower LODs via color filtering while still increasing construction speed compared to the non-filtered, CPU-based state of the art.\n\n\nBackground: \nLOD structures are required to render hundreds of millions to trillions of points, but constructing them takes time.\n\n\nResults: \nLOD structures suitable for rendering and streaming are constructed at rates of about 1 billion points per second (with color filtering) to 4 billion points per second (sample-picking/random sampling, state of the art) on an RTX 3090 -- an improvement of a factor of 80 to 400 times over the CPU-based state of the art (12 million points per second). Due to being in-core, model sizes are limited to about 500 million points per 24GB memory.\n\n\nDiscussion: \nOur method currently focuses on maximizing in-core construction speed on the GPU. Issues such as out-of-core construction of arbitrarily large data sets are not addressed, but we expect it to be suitable as a component of bottom-up out-of-core LOD construction schemes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser Figure. ",
            "filetitle": "CudaLOD",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1442,
            "image_height": 884,
            "name": "SCHUETZ-2023-LOD-CudaLOD.jpg",
            "type": "image/jpeg",
            "size": 226119,
            "path": "Publication:SCHUETZ-2023-LOD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1650,
            1802,
            193
        ],
        "articleno": "e14877",
        "date_from": "2023",
        "date_to": "2023",
        "doi": "10.1111/cgf.14877",
        "event": "High Performance Graphics",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1116
        ],
        "location": "Delft",
        "number": "8",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "1",
        "pages_to": "12",
        "publisher": "WILEY",
        "volume": "42",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point cloud rendering",
            "level of detail",
            "LOD"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/CudaLOD",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Teaser Figure. ",
                "filetitle": "CudaLOD",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1442,
                "image_height": 884,
                "name": "SCHUETZ-2023-LOD-CudaLOD.jpg",
                "type": "image/jpeg",
                "size": 226119,
                "path": "Publication:SCHUETZ-2023-LOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-CudaLOD:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2023-LOD-paper.pdf",
                "type": "application/pdf",
                "size": 12634836,
                "path": "Publication:SCHUETZ-2023-LOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/SCHUETZ-2023-LOD-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4386"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/SCHUETZ-2023-LOD/",
        "__class": "Publication"
    },
    {
        "id": "marin-2023-pic",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": "20.500.12708/193751",
        "title": "Parameter-Free and Improved Connectivity for Point Clouds",
        "date": "2023-05-03",
        "abstract": "Determining connectivity in unstructured point clouds is a long-standing problem that is still not addressed satisfactorily. In this poster, we propose an extension to the proximity graph introduced in [MOW22] to three-dimensional models. We use the spheres-of-influence (SIG) proximity graph restricted to the 3D Delaunay graph to compute connectivity between points. Our approach shows a better encoding of the connectivity in relation to the ground truth than the k-nearest neighborhood (kNN) for a wide range of k values, and additionally, it is parameter-free. Our result for this fundamental task offers potential for many applications relying on kNN, e.g., improvements in normal estimation, surface reconstruction, motion planning, simulations, and many more.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "hidden",
            "image_width": 455,
            "image_height": 200,
            "name": "marin-2023-pic-image.png",
            "type": "image/png",
            "size": 20480,
            "path": "Publication:marin-2023-pic",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "booktitle",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            948,
            193
        ],
        "booktitle": "Eurographics 2023 - Posters",
        "cfp": {
            "name": "Screenshot from 2024-02-20 17-30-41.png",
            "type": "image/png",
            "error": 0,
            "size": 212121,
            "orig_name": "Screenshot from 2024-02-20 17-30-41.png",
            "ext": "png"
        },
        "date_from": "2023-05-08",
        "date_to": "2023-05-12",
        "doi": "10.2312/egp.20231023",
        "editor": "Singh, Gurprit and Chu, Mengyu",
        "event": "Eurographics 2023",
        "isbn": "978-3-03868-211-0",
        "lecturer": [
            1848
        ],
        "location": "Saarbrücken",
        "open_access": "yes",
        "pages": "2",
        "pages_from": "5",
        "pages_to": "6",
        "publisher": "Eurographics",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Computing methodologies",
            "Point based models"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2023-pic-paper.pdf",
                "type": "application/pdf",
                "size": 518325,
                "path": "Publication:marin-2023-pic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/marin-2023-pic-paper:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/marin-2023-pic/",
        "__class": "Publication"
    },
    {
        "id": "jafari-2023-avk",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improvements and Additional Features for a Modern C++/Vulkan Rendering Framework",
        "date": "2023-05",
        "abstract": "<p><strong>Updater:</strong><br/>\nFor the Auto-Vk-Toolkit framework it was deemed to be desirable to add the quality of life features of automatic resource updates after changes. For example, changing resources such as resizing swapchain images (due to changing the window size, for example), or changing the shader files that are graphics pipelines are comprised of shall trigger recreation of all the dependent resources. As a consequence, all the graphics pipelines must be updated too.\n\nSeveral adaptions were needed to enable these automatic updates. Window and swapchain handling code had to be updated, and swap chain creation code had to be adapted. Finally, a component avk::updater was implemented which enables triggering updating dependent resources after various events: swapchain/window resized, swapchain changed, swapchain's images' format changed, additional swapchain attachments changed, files changed. Based on these events, automatic swap chain recreation and shader hot reloading is enabled.\n\n<p><strong>Evaluating support for C++ Modules:</strong><br/>\nModules are a relatively new C++ feature, which was introduced with C++20. They promise to be able to provide better code encapsulation and lower build times. Their suitability for Auto-Vk-Toolkit was evaluated and the experiences were documented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 128,
            "image_height": 128,
            "name": "jafari-2023-avk-image.webp",
            "type": "image/webp",
            "size": 4248,
            "path": "Publication:jafari-2023-avk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image.webp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1773
        ],
        "date_end": "2023-05",
        "date_start": "2020-07",
        "matrikelnr": "09826767",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Vulkan",
            "C++",
            "Real-Time Rendering",
            "C++20",
            "Modules",
            "C++ Modules",
            "Vulkan",
            "Auto-Vk",
            "Auto-Vk-Toolkit",
            "Shader Hot Reloading"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit/blob/master/docs/updater.md",
                "caption": "Automatic Resource-Updates",
                "description": "Documentation of the updater component, which enables swap chain recreation and shader hot reloading.",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 128,
                "image_height": 128,
                "name": "jafari-2023-avk-image.webp",
                "type": "image/webp",
                "size": 4248,
                "path": "Publication:jafari-2023-avk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image.webp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-image:thumb{{size}}.png"
            },
            {
                "description": "Auto-VK-Toolkit - C++20 Modules - Report",
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "jafari-2023-avk-report.pdf",
                "type": "application/pdf",
                "size": 134903,
                "path": "Publication:jafari-2023-avk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/jafari-2023-avk-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/jafari-2023-avk/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2023-ecd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/187418",
        "title": "Ergonomics-Driven Computational Design of Furniture and Indoor Layouts",
        "date": "2023-05",
        "abstract": "Humans spend a large proportion of their lives indoors, be it at home, at their workplace, or in public facilities like restaurants or museums, making the design of such indoor spaces an important task. There are many different requirements for both the design of individual pieces of furniture and their arrangement within a given space, making extensive expert knowledge in this field anecessity to achieve the desired design goals in terms of functional, aesthetic and ergonomic quality. While Computer-Aided Design software can aid the user in this task, existing tools often focus on just one specific aspect of the design process. In particular, making sure that a given design adheres to ergonomic guidelines is often left entirely to the designer, making it a difficult task especially for novice users. In this thesis, we explore different approaches of how ergonomic aspects of interior design can be integrated into interactive, automated or data-driven methods for the design of seating furniture and indoor layouts. The first part of the thesis presents an interactive method for the design of seating furniture. Given a triangular mesh of a human body in a specific pose as input, we first compute an approximate pressure distribution on the human body to learn where it needs the most support. A given inital design for a piece of seating furniture is then deformed to provide optimal support to the body while still conforming to the aesthetic design as much as possible. The design can furthermore be modified interactively. We demonstrate that this approach allows even novice users to create comfortable seating furniture designs in a short time span. While an interactive approach provides more control to the user, it also requires substantial manual design effort, making it difficult to use for novice designers. The second part of this thesis proposes a method for the automated generation of seating furniture which depends entirely on the target pose. The designs created with this approach can be used as-is or as an initial design for the approach introduced in the first part of the thesis. Our method for computing the pressure distribution is furthermore extended by taking into account the weight of individual limbs and estimating the frictional forces acting on the body for increased accuracy. Our results show that the proposed method can further improve the designs of seating furniture when used in conjunction with our interactive design tool. Since the ergonomic qualities of seating furniture do not only depend on the design of the furniture itself, but also its relation to the other elements of the surrounding indoor space, the third part of the thesis introduces a data-driven approach for the design of indoor layouts. Since common guidelines for interior design are so numerous, it is an infeasible task to define all of them explicitly when developing a computational design method. Using a data-driven approach makes it possible to implicitly learn about these rules given a large set of suitable examples. But good example data is not always readily available in large quantities; existing datasets may fulfill some of the desired rules, but lack in other areas. We therefore propose a deep-learning approach thatmakes use of the advantages of data-driven learning, while at the same time correcting flaws in the dataset using a small set of explicitly designed rules drawn from ergonomics literature. We evaluate the designs synthesized by this approach using a perceptual study and show that theresults are seen as equally or even more realistic than the ground truth designs that were used to train the deep learning model.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 369,
            "image_height": 369,
            "name": "leimer-2023-ecd-image.png",
            "type": "image/png",
            "size": 85972,
            "path": "Publication:leimer-2023-ecd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            1019
        ],
        "co_supervisor": [
            844
        ],
        "date_end": "2023-05-31",
        "date_start": "2016-03-01",
        "doi": "10.34726/hss.2023.113961",
        "matrikelnr": "00825842",
        "open_access": "yes",
        "pages": "115",
        "reviewer_1": [
            5282
        ],
        "reviewer_2": [
            194
        ],
        "rigorosum": "2023-05-31",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Computational Design",
            "Computer-Aided Design",
            "Generative Deep Learning",
            "Shape Optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 369,
                "image_height": 369,
                "name": "leimer-2023-ecd-image.png",
                "type": "image/png",
                "size": 85972,
                "path": "Publication:leimer-2023-ecd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2023-ecd-thesis.pdf",
                "type": "application/pdf",
                "size": 4423498,
                "path": "Publication:leimer-2023-ecd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/leimer-2023-ecd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/leimer-2023-ecd/",
        "__class": "Publication"
    },
    {
        "id": "cech-2023-taa",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Anti-Aliasing State of the Art",
        "date": "2023-05",
        "abstract": "In this student project most of the temporal anti-aliasing (TAA) techniques described in the TAA STAR report by Yang et al. [2020] were implemented. The main goal was to write a testing application that allows to experiment with different methods and parameters in varying scenes. The different methods broadly fall into two categories: Acquisition of the temporal samples, and validation and rectification of history data. The topic of temporal upsampling was also briefly experimented with, but not followed up in depth. Additionally, TAA with adaptive ray tracing, as proposed by Marrs et al. [2019], was implemented.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1100,
            "image_height": 878,
            "name": "cech-2023-taa-image.png",
            "type": "image/png",
            "size": 1597852,
            "path": "Publication:cech-2023-taa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1776
        ],
        "date_end": "2023-05",
        "date_start": "2020-08",
        "matrikelnr": "08900070",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-Time Rendering",
            "Temporal Anti-Aliasing",
            "Vulkan",
            "TAA",
            "Auto-Vk",
            "Auto-Vk-Toolkit",
            "Vulkan"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/TAA-STAR",
                "caption": "TAA-STAR on GitHub",
                "description": "Code repository that contains the implementations, based on Auto-Vk-Toolkit.",
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": "Programming framework",
                "main_file": 0
            },
            {
                "href": "https://link.springer.com/chapter/10.1007/978-1-4842-4427-2_22",
                "caption": "[Marrs2019]",
                "description": "Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, and Morgan McGuire. Improving Temporal Antialiasing with Adaptive Ray Tracing. Apress, Berkeley, CA, USA, 2019.",
                "main_file": 0
            },
            {
                "href": "https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.14018",
                "caption": "[Yang2020]",
                "description": "Lei Yang, Shiqiu Liu, and Marco Salvi. A Survey of Temporal Antialiasing Techniques. Computer Graphics Forum, 2020.\n",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1100,
                "image_height": 878,
                "name": "cech-2023-taa-image.png",
                "type": "image/png",
                "size": 1597852,
                "path": "Publication:cech-2023-taa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-image:thumb{{size}}.png"
            },
            {
                "description": "Temporal Anti-Aliasing report by Alexander Cech",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cech-2023-taa-Report.pdf",
                "type": "application/pdf",
                "size": 29291793,
                "path": "Publication:cech-2023-taa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/cech-2023-taa-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cech-2023-taa/",
        "__class": "Publication"
    },
    {
        "id": "bhore-2023-ucd",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/190278",
        "title": "Untangling circular drawings: Algorithms and complexity",
        "date": "2023-04",
        "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an outerplanar graph G=(V,E) into a planar straight-line circular drawing of G by shifting a minimum number of vertices to a new position on the circle. For an outerplanar graph G, it is obvious that such a crossing-free circular drawing always exists and we define the circular shifting number shift∘(δG) as the minimum number of vertices that are required to be shifted in order to resolve all crossings of δG. We show that the problem CIRCULAR UNTANGLING, asking whether shift∘(δG)≤K for a given integer K, is NP-complete. For n-vertex outerplanar graphs, we obtain a tight upper bound of shift∘(δG)≤n−⌊n−2⌋−2. Moreover, we study the CIRCULAR UNTANGLING for almost-planar circular drawings, in which a single edge is involved in all of the crossings. For this problem, we provide a tight upper bound [Formula presented] and present an O(n2)-time algorithm to compute the circular shifting number of almost-planar drawings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1878,
            1698,
            1579,
            1879,
            1464
        ],
        "articleno": "101975",
        "doi": "10.1016/j.comgeo.2022.101975",
        "issn": "1879-081X",
        "journal": "Computational Geometry",
        "open_access": "yes",
        "pages": "14",
        "publisher": "Elsevier",
        "volume": "111",
        "research_areas": [],
        "keywords": [
            "NP-hardness",
            "Outerplanarity",
            "Permutations and combinations",
            "Straight-line Graph drawing",
            "Untangling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bhore-2023-ucd-paper.pdf",
                "type": "application/pdf",
                "size": 511374,
                "path": "Publication:bhore-2023-ucd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/bhore-2023-ucd-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/bhore-2023-ucd/",
        "__class": "Publication"
    },
    {
        "id": "szabo-2023-fig",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/192053",
        "title": "Feature-assisted interactive geometry reconstruction in 3D point clouds using incremental region growing",
        "date": "2023-04",
        "abstract": "Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art workflows based on fully automatic geometry extraction are limited by point cloud density and memory constraints, and require pre- and post-processing by the user. In this work, we present a framework for interactive, user-driven, feature-assisted geometry reconstruction from arbitrarily sized point clouds. Based on seeded region-growing point cloud segmentation, the user interactively extracts planar pieces of geometry and utilizes contextual suggestions to point out plane surfaces, normal and tangential directions, and edges and corners. We implement a set of feature-assisted tools for high-precision modeling tasks in architecture and urban surveying scenarios, enabling instant-feedback interactive point cloud manipulation on large-scale data collected from real-world building interiors and facades. We evaluate our results through systematic measurement of the reconstruction accuracy, and interviews with domain experts who deploy our framework in a commercial setting and give both structured and subjective feedback.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1002,
            1640,
            1387,
            1494,
            228,
            1277,
            166
        ],
        "doi": "10.1016/j.cag.2023.02.004",
        "issn": "1873-7684",
        "journal": "COMPUTERS & GRAPHICS-UK",
        "pages": "12",
        "pages_from": "213",
        "pages_to": "224",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "111",
        "research_areas": [],
        "keywords": [
            "Point clouds",
            "interaction",
            "Segmentation",
            "Reconstruction"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/szabo-2023-fig/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2023-vaw",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/175991",
        "title": "Vulkan all the way: Transitioning to a modern low-level graphics API in academia",
        "date": "2023-04",
        "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU, which allows a high level of controllability and, thereby, deep insights into the inner workings of modern GPUs. This property makes the Vulkan API especially well suitable for teaching graphics programming in university education, where fundamental knowledge shall be conveyed. Hence, it stands to reason that educators who have their students’ best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in both introductory and advanced graphics courses side-by-side with conventional OpenGL. A collection of surveys enables us to draw conclusions about perceived workload, difficulty, and students’ acceptance of either approach. In doing so, we identify suitable conditions and recommendations for teaching Vulkan to both undergraduate and graduate students.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1216,
            "image_height": 1216,
            "name": "unterguggenberger-2023-vaw-image.png",
            "type": "image/png",
            "size": 1536211,
            "path": "Publication:unterguggenberger-2023-vaw",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848,
            1650,
            193
        ],
        "doi": "10.1016/j.cag.2023.02.001",
        "issn": "1873-7684",
        "journal": "Computers and Graphics",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "155",
        "pages_to": "165",
        "publisher": "Elsevier",
        "volume": "111",
        "research_areas": [],
        "keywords": [
            "GPU",
            "Graphics API",
            "Programming framework",
            "Real-time rendering",
            "Teaching",
            "Vulkan"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad",
                "description": "A framework by TU Wien targeted at Vulkan beginners.",
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk",
                "description": "A low-level convenience and productivity layer for Vulkan",
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit",
                "description": "C++ framework atop Auto-Vk for rapid prototyping, research, and teaching.",
                "main_file": 1
            },
            {
                "href": "https://education.siggraph.org/cgsource/content/road-vulkan-teaching-vulkan-introductory-graphics-courses",
                "caption": "\"The Road to Vulkan\" at cgSource",
                "description": "Entry at the ACM SIGGRAPH Education Committee's cgSource repository.",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1216,
                "image_height": 1216,
                "name": "unterguggenberger-2023-vaw-image.png",
                "type": "image/png",
                "size": 1536211,
                "path": "Publication:unterguggenberger-2023-vaw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2023-vaw-paper.pdf",
                "type": "application/pdf",
                "size": 972237,
                "path": "Publication:unterguggenberger-2023-vaw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/unterguggenberger-2023-vaw-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-vaw/",
        "__class": "Publication"
    },
    {
        "id": "moerth-2023-fbt",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": " From Bergen to Boston – Lessons learned from studying a PhD in Norway and experiences from Harvard",
        "date": "2023-03-10",
        "abstract": "In this talk I will reflect on my time as a PhD student at the University of Bergen and will share my experiences throughout my research exchange at the Harvard University. I will talk about the ups and downs in PhD life and what helped me to pull it through and what I would have wished throughout my study time. Furthermore, I will also put my experiences into perspective and talk about how PhD life looks like at the Harvard University. What are the major differences and similarities and what could we learn from them as well as what could the Harvard University learn from Bergen.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The coat of arms of the University of Bergen and the University Harvard next to each other.",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 960,
            "image_height": 720,
            "name": "moerth-2023-fbt-Image.png",
            "type": "image/png",
            "size": 417721,
            "path": "Publication:moerth-2023-fbt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1345
        ],
        "event": "CG Colloquy Cycle",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/konversatorium/Bergen-Boston-%E2%80%93-Lessons-learned-studying-PhD-Norway-and-experiences-Harvard",
                "caption": "Announcement",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "The coat of arms of the University of Bergen and the University Harvard next to each other.",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "name": "moerth-2023-fbt-Image.png",
                "type": "image/png",
                "size": 417721,
                "path": "Publication:moerth-2023-fbt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Talk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "moerth-2023-fbt-Talk.mp4",
                "type": "video/mp4",
                "size": 158715424,
                "path": "Publication:moerth-2023-fbt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/moerth-2023-fbt-Talk:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/moerth-2023-fbt/",
        "__class": "Publication"
    },
    {
        "id": "hofer_kerstin-2023-sketch2model",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sketch to 3d-Model using Deep Learning and Differentiable Rendering",
        "date": "2023-03-03",
        "abstract": "Deriving 3D models from sketches has been a relevant research topic for years now, mainly due to its potential to simplify the realization of ideas and drafts for certain professions like artists, engineers and designers. With the raise of neural networks, new methods start to form utilizing the learning capability of those networks. One such method is the application of differentiable rendering, where a base mesh is deformed until the difference between the differentiable renderings and the target image is reasonably small. However, those target images, e.g., normal or depth maps, are not inherently available to the system, since the only input is a sketch. Therefore, intermediate representations predicted from the sketch need to be generated, that provide the required information.\n\nThe aim of this thesis is to provide a an end-to-end framework that reconstructs 3d models from 2d sketches using intermediate depth and normal representations and differentiable rendering. In addition to that, the topology of the sketch is determined and a respective base mesh is used for the mesh deformation. By comparing this setup to an established network as well as conducting an ablation study to reveal the effects the improvements have, the system and its limitations are evaluated. This will determine if the proposed optimisations facilitate input generalisability beyond class/object restrictions and improve mesh quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "General system overview. From a seeded user sketch, the silhouette image, the normal and depth maps are translated and a base mesh is determined. Using those, a differentiable renderer is used in order to predict a 3d model.",
            "filetitle": "Method",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2206,
            "image_height": 993,
            "name": "hofer_kerstin-2023-sketch2model-Method.png",
            "type": "image/png",
            "size": 326093,
            "path": "Publication:hofer_kerstin-2023-sketch2model",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5280
        ],
        "co_supervisor": [
            5281
        ],
        "date_end": "2023-03-03",
        "date_start": "2022-11",
        "diploma_examina": "2023-05-03",
        "matrikelnr": "2010695019",
        "note": "Thesis created in cooperation with Department Creative Technologies, University of Applied Sciences Salzburg, Salzburg, Austria",
        "open_access": "yes",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry",
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "deep learning",
            "single-view model generation",
            "topology",
            "differentiable rendering",
            "2.5d intermediate representation"
        ],
        "weblinks": [
            {
                "href": "https://github.com/Kerstin08/Sketch-to-3d-Model",
                "caption": "Source Code",
                "description": "Repository on Github ",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "General system overview. From a seeded user sketch, the silhouette image, the normal and depth maps are translated and a base mesh is determined. Using those, a differentiable renderer is used in order to predict a 3d model.",
                "filetitle": "Method",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2206,
                "image_height": 993,
                "name": "hofer_kerstin-2023-sketch2model-Method.png",
                "type": "image/png",
                "size": 326093,
                "path": "Publication:hofer_kerstin-2023-sketch2model",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Method:thumb{{size}}.png"
            },
            {
                "description": "Master's Thesis by Kerstin Hofer: Sketch to 3d Model",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hofer_kerstin-2023-sketch2model-Thesis.pdf",
                "type": "application/pdf",
                "size": 18941567,
                "path": "Publication:hofer_kerstin-2023-sketch2model",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/hofer_kerstin-2023-sketch2model-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/hofer_kerstin-2023-sketch2model/",
        "__class": "Publication"
    },
    {
        "id": "kristmann-2023-vkl",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Components for Vulkan Launchpad: A framework for Vulkan beginners and introductory graphics courses",
        "date": "2023-03",
        "abstract": "During this project, the Vulkan Launchpad framework was extened by a model loader for OBJ model files and an arcball/orbit-style camera to navigate the scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 560,
            "image_height": 280,
            "name": "kristmann-2023-vkl-image.png",
            "type": "image/png",
            "size": 23836,
            "path": "Publication:kristmann-2023-vkl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1935
        ],
        "date_end": "2023-02",
        "date_start": "2022-07",
        "matrikelnr": "01518693",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Introduction to Computer Graphics",
            "Vulkan",
            "C++",
            "Vulkan Launchpad",
            "Model Loader",
            "CMake"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter",
                "caption": "Starter Template",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 560,
                "image_height": 280,
                "name": "kristmann-2023-vkl-image.png",
                "type": "image/png",
                "size": 23836,
                "path": "Publication:kristmann-2023-vkl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/kristmann-2023-vkl-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/kristmann-2023-vkl/",
        "__class": "Publication"
    },
    {
        "id": "pogrzebacz-2023-vkl",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "CMake support for Vulkan Launchpad: A framework for Vulkan beginners and introductory graphics courses",
        "date": "2023-03",
        "abstract": "During this project, a previously closed-source framework which was used for an introductory graphics course was split into an open source part (published as as \"Vulkan Launchpad\") and a small part which remained closed source for usage in the context of the same introductory graphics course. A CMake-based project setup was established, enabling the open source part being built with different compilers and on various desktop operating systems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 560,
            "image_height": 280,
            "name": "pogrzebacz-2023-vkl-image.png",
            "type": "image/png",
            "size": 23836,
            "path": "Publication:pogrzebacz-2023-vkl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5240
        ],
        "date_end": "2023-02",
        "date_start": "2022-07",
        "matrikelnr": "01028937",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Introduction to Computer Graphics",
            "C++",
            "CMake",
            "Vulkan",
            "Introduction to Visual Computing",
            "Introductory Graphics Course",
            "Vulkan Launchpad"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpadStarter",
                "caption": "Starter Template",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 560,
                "image_height": 280,
                "name": "pogrzebacz-2023-vkl-image.png",
                "type": "image/png",
                "size": 23836,
                "path": "Publication:pogrzebacz-2023-vkl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/pogrzebacz-2023-vkl-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/pogrzebacz-2023-vkl/",
        "__class": "Publication"
    },
    {
        "id": "wolf-2023-cc",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Concept Clusters",
        "date": "2023-03",
        "abstract": "The Motivation for this work is to explore methods for visualizing high-dimensional\ndatasets, with a specific focus on understanding the inner workings of Deep Neural Networks\n(DNNs). DNNs are a type of Artificial Neural Network (ANN) that consist of an\ninput layer, an output layer, and multiple hidden layers. They are able to make predictions\nor decisions based on unseen observations, but the way that they arrive at these\ndecisions can often be opaque, or difficult to interpret. By exploring the similarities of\nfeature vectors in the latent space created by the network, it is possible to gain insight\ninto how the network organizes and classifies observations with similar properties that are\nalso interpretable to the human eye.\n\nThe goal of this work is to develop a prototype that enables interactive exploration\nof data clusterings in high-dimensional feature spaces, instead of the traditional twodimensional\nvisual representation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1425,
            "image_height": 904,
            "name": "wolf-2023-cc-teaser.png",
            "type": "image/png",
            "size": 184141,
            "path": "Publication:wolf-2023-cc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5238
        ],
        "date_end": "2023-03",
        "date_start": "2022-03",
        "matrikelnr": "0925239",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wolf-2023-cc-report.pdf",
                "type": "application/pdf",
                "size": 2221475,
                "path": "Publication:wolf-2023-cc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1425,
                "image_height": 904,
                "name": "wolf-2023-cc-teaser.png",
                "type": "image/png",
                "size": 184141,
                "path": "Publication:wolf-2023-cc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/wolf-2023-cc-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/wolf-2023-cc/",
        "__class": "Publication"
    },
    {
        "id": "musleh-2023-ugi",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/158183",
        "title": "Uncertainty guidance in proton therapy planning visualization",
        "date": "2023-02-20",
        "abstract": "We investigate uncertainty guidance mechanisms to support proton therapy (PT) planning visualization. Uncertainties in the PT workflow pose significant challenges for navigating treatment plan data and selecting the most optimal plan among alternatives.  Although guidance techniques have not yet been applied to PT planning scenarios, they have successfully supported sense- and decision-making processes in other contexts. We hypothesize that augmenting PT uncertainty visualization with guidance may influence the intended users' perceived confidence and provide new insights. To this end, we follow an iterative co-design process with domain experts to develop a visualization dashboard enhanced with distinct level-of-detail uncertainty guidance mechanisms. Our approach classifies uncertainty guidance into two dimensions: degree of intrusiveness and detail-orientation. Our dashboard supports the comparison of multiple treatment plans (i.e., nominal plans with their translational variations) while accounting for multiple uncertainty factors. We subsequently evaluate the designed and developed strategies by assessing perceived confidence and effectiveness during a sense- and decision-making process. Our findings indicate that uncertainty guidance in PT planning visualization does not necessarily impact the perceived confidence of the users in the process. Nonetheless, it provides new insights and raises uncertainty awareness during treatment plan selection. This observation was particularly evident for users with longer experience in PT planning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Graphical Abstract",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1333,
            "image_height": 1039,
            "name": "musleh-2023-ugi-Graphical Abstract.jpg",
            "type": "image/jpeg",
            "size": 235392,
            "path": "Publication:musleh-2023-ugi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract:thumb{{size}}.png"
        },
        "sync_repositum_override": "event",
        "repositum_presentation_id": null,
        "authors": [
            1867,
            1445,
            1863,
            5236,
            166,
            1410
        ],
        "doi": "10.1016/j.cag.2023.02.002",
        "event": "VCBM 2023",
        "issn": "1873-7684",
        "journal": "Computers and Graphics",
        "open_access": "yes",
        "pages_from": "166",
        "pages_to": "179",
        "publisher": "PERGAMON-ELSEVIER SCIENCE LTD",
        "volume": "111",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Visual analytics",
            "Applied computing",
            "Decision support systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Graphical Abstract",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1333,
                "image_height": 1039,
                "name": "musleh-2023-ugi-Graphical Abstract.jpg",
                "type": "image/jpeg",
                "size": 235392,
                "path": "Publication:musleh-2023-ugi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/musleh-2023-ugi-Graphical Abstract:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/musleh-2023-ugi/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2023-ait",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/192724",
        "title": "An Introduction to Vulkan",
        "date": "2023-02-07",
        "abstract": "In this tutorial, we teach the fundamentals of Vulkan. Our tutorial is targeted for programmers new to the concepts of Khronos' low-level graphics API. Thus, participants are not expected to have any prior knowledge about the Vulkan API. Prior knowledge about graphics programming in general helps, but is not strictly required. At least basic proficiency with the C programming language is required.\nContent-wise, this tutorial delivers university-level knowledge, based on long-standing teaching experience at TU Wien. Vulkan-specific topics covered include essential Vulkan handles (i.e., instance, physical device, logical device, surface, and swap chain), graphics-pipeline creation and usage, descriptor set creation and binding, command buffer recording, image layout transitions, and parts of synchronization.\nIn the context of the tutorial, a 3D model viewer is implemented. A suitable programming framework is provided for Windows, Linux, and Mac OS. The tutorial is comprised of short lecture sessions and coding sessions with tutors from TU Wien assisting participants.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Vulkanised 2023 Logo",
            "filetitle": "vulkanised-logo",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 768,
            "image_height": 323,
            "name": "unterguggenberger-2023-ait-vulkanised-logo.jpg",
            "type": "image/jpeg",
            "size": 37983,
            "path": "Publication:unterguggenberger-2023-ait",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848,
            1525,
            1954,
            5240,
            1614,
            1935
        ],
        "date_from": "2023-02-07",
        "date_to": "2023-02-09",
        "event": "Vulkanised 2023",
        "lecturer": [
            848,
            1525
        ],
        "location": "München",
        "research_areas": [],
        "keywords": [
            "Vulkan",
            "Graphics API",
            "Computer Graphics",
            "Real-Time Rendering",
            "Rendering Engine"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad",
                "description": "A framework by TU Wien targeted at Vulkan beginners.",
                "main_file": 1
            },
            {
                "href": "https://www.vulkan.org/events/vulkanised-2023",
                "caption": "Vulkanised 2023",
                "description": "Event page on vulkan.org",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Vulkanised 2023 Logo",
                "filetitle": "vulkanised-logo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 768,
                "image_height": 323,
                "name": "unterguggenberger-2023-ait-vulkanised-logo.jpg",
                "type": "image/jpeg",
                "size": 37983,
                "path": "Publication:unterguggenberger-2023-ait",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/unterguggenberger-2023-ait-vulkanised-logo:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/unterguggenberger-2023-ait/",
        "__class": "Publication"
    },
    {
        "id": "matt-2023-vae",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extending the Adversarial Loss Function of Soft-Intro VAE for Stronger Disentaglement",
        "date": "2023-02",
        "abstract": "Disentanglement is hard to achieve in unsupervised representation learning. It can be negatively\naffected by trying to improve the reconstruction quality of the generated output. To try to\nalleviate these problems, this project combines two approaches that improve disentanglement and\nreconstruction quality, specifically β-TCVAE[1] and Soft-Intro-VAE[2]. The hypothesis was that\na model that uses a combined loss function of both approaches can retain the positive aspects of\nboth. The results did not confirm the hypothesis and showed no improvement in disentanglement\nmetrics and worse reconstruction results compared to Soft-Intro-VAE[2]. The code for this project\nis available on GitHub.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Latent traversals using Soft-Intro-TCVAE",
            "filetitle": "SI_TCVAE",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1728,
            "image_height": 495,
            "name": "matt-2023-vae-SI_TCVAE.png",
            "type": "image/png",
            "size": 705388,
            "path": "Publication:matt-2023-vae",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5263
        ],
        "date_end": "2023-03",
        "date_start": "2022-03",
        "matrikelnr": "01529399",
        "supervisor": [
            5264,
            1110
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/meffmadd/intro-tc-vae",
                "caption": "GitHub",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matt-2023-vae-report.pdf",
                "type": "application/pdf",
                "size": 4219737,
                "path": "Publication:matt-2023-vae",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-report:thumb{{size}}.png"
            },
            {
                "description": "Latent traversals using Soft-Intro-TCVAE",
                "filetitle": "SI_TCVAE",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1728,
                "image_height": 495,
                "name": "matt-2023-vae-SI_TCVAE.png",
                "type": "image/png",
                "size": 705388,
                "path": "Publication:matt-2023-vae",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/matt-2023-vae-SI_TCVAE:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/matt-2023-vae/",
        "__class": "Publication"
    },
    {
        "id": "PETER-2023-PSW",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Particle System in WebGPU",
        "date": "2023-02",
        "abstract": "\"In this thesis, we investigate the performance of particle system simulation and rendering\nin WebGPU. A prototype that can produce various particle effects in the browser\nwas implemented using the WebGPU API. The particle’s lifetimes and movements are\nsimulated on the GPU using a compute shader, and rendered as textured quads. By using\na compute shader, it is possible to simulate and render ten million particles at around 63\nframes per second (on a GTX 1060). For rendering the particles, both instancing and\nvertex pulling were implemented, and a comparison between the two modes shows that\non recent high end GPUs, using vertex pulling leads to significantly better performance\nthan using instancing.\"\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "PETER-2023-PSW-.pdf",
            "type": "application/pdf",
            "size": 6992664,
            "path": "Publication:PETER-2023-PSW",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5226
        ],
        "date_end": "2023",
        "date_start": "2022",
        "matrikelnr": "00171283",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "PETER-2023-PSW-.pdf",
                "type": "application/pdf",
                "size": 6992664,
                "path": "Publication:PETER-2023-PSW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "particles",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 570,
                "image_height": 377,
                "name": "PETER-2023-PSW-particles.jpg",
                "type": "image/jpeg",
                "size": 414431,
                "path": "Publication:PETER-2023-PSW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-particles.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/PETER-2023-PSW-particles:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/PETER-2023-PSW/",
        "__class": "Publication"
    },
    {
        "id": "REICHHOLF-2023-HRO",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High Resolution Ortho Photos via Image Stitiching for Pavement Cameras",
        "date": "2023-02",
        "abstract": "Image stitching has gained popularity in the recent years in the area of ortho photos as it allows for the\nuse of multiple images for a single ortho photo. This approach allows to cover a much bigger area than a\nsingle photograph making it possible to cover kilometers of pavement data to ease road inspection. In this\nwork the application and the adaption of state-of-the-art image stitching techniques is to be examined for\nthe use with pavement cameras and high resolution meshes created from a LiDAR system. The expected\noutcome of this thesis is a novel approach to the application of image stitching for the use with pavement\ncameras.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5235
        ],
        "date_start": "2023-02-24",
        "matrikelnr": "12002225",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "REICHHOLF-2023-HRO-abstract.pdf",
                "type": "application/pdf",
                "size": 55681,
                "path": "Publication:REICHHOLF-2023-HRO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/REICHHOLF-2023-HRO/REICHHOLF-2023-HRO-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/REICHHOLF-2023-HRO/REICHHOLF-2023-HRO-abstract:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/REICHHOLF-2023-HRO/",
        "__class": "Publication"
    },
    {
        "id": "rubik_michael-2022-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CycleSafely Acquire Data",
        "date": "2023-01-24",
        "abstract": "Anfang März: Anfang der Arbeit, Überblick über alle Schritte und Interfaces\nMitte März: Festlegen auf/Kaufen des Tiefensensors\nApril: Verarbeiten und Registrieren der Punktwolke\nMai: GPS Daten auslesen, übertragen und mit Punktwolke verknüpfen\nJuni: RGB Video der Smartphone Kamera mit Tiefenbildern verknüpfen\n        Spielraum um nicht vollendete Aufgaben zu erledigen",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 525,
            "image_height": 407,
            "name": "rubik_michael-2022-baa-image.png",
            "type": "image/png",
            "size": 320696,
            "path": "Publication:rubik_michael-2022-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1918
        ],
        "date_end": "2023-01-24",
        "date_start": "2022-03-01",
        "matrikelnr": "11809937",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "lidar",
            "point cloud",
            "registration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 525,
                "image_height": 407,
                "name": "rubik_michael-2022-baa-image.png",
                "type": "image/png",
                "size": 320696,
                "path": "Publication:rubik_michael-2022-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "rubik_michael-2022-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 4799027,
                "path": "Publication:rubik_michael-2022-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/rubik_michael-2022-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rubik_michael-2022-baa/",
        "__class": "Publication"
    },
    {
        "id": "Philipp_Hochhauser_2023",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-ray Path Tracing for CT Imaging",
        "date": "2023-01-23",
        "abstract": "Computed tomography (CT) has a wide range of applications. It is an important technique in industrial non-destructive testing, where engineers want to find flaws in materials or reverse engineer the material composition of an object. Another application in material science is to visualize stresses that occur inside of an object. Furthermore,\nit is also often used in medical applications, however, the focus of this thesis lies on industrial computed tomography.\nActual computed tomography scans can take quite a long time and may become expensive. Therefore, it is essential to create software simulations that allow fast and accurate\nprototyping of such scans, in order to keep cost and time consumption to a minimum. In this thesis, we present a method to create such scans using Monte Carlo based rendering\nmethods and compare it to an existing solution regarding accuracy and time. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1163,
            "image_height": 733,
            "name": "Philipp_Hochhauser_2023-image.JPG",
            "type": "image/jpeg",
            "size": 72747,
            "path": "Publication:Philipp_Hochhauser_2023",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5290
        ],
        "date_end": "2023-01-28",
        "date_start": "2022-04-23",
        "matrikelnr": "01527619",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "BA_thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Philipp_Hochhauser_2023-BA_thesis.pdf",
                "type": "application/pdf",
                "size": 7643614,
                "path": "Publication:Philipp_Hochhauser_2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-BA_thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-BA_thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1163,
                "image_height": 733,
                "name": "Philipp_Hochhauser_2023-image.JPG",
                "type": "image/jpeg",
                "size": 72747,
                "path": "Publication:Philipp_Hochhauser_2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/Philipp_Hochhauser_2023-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Philipp_Hochhauser_2023/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2023-tfo",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/193487",
        "title": "The Future of Scalable Interactive Visual Analysis",
        "date": "2023-01",
        "abstract": "Skalierbare interaktive visuelle Analyse kombiniert computergestützte, interaktive, visuelle Darstellungen von (abstrakten) Daten mit automatischen Techniken, um die Kognition zu fördern und die Modellierung zu erleichtern. Der Vortrag beginnt mit der Formulierung provokanter Thesen, die zum Nachdenken anregen. In den letzten Jahren hat die Komplexität von Daten in Bezug auf Umfang, Wahrheitsgehalt, Geschwindigkeit und Vielfalt erheblich zugenommen. Dies ist sowohl auf neue Datenquellen als auch auf die Verfügbarkeit von Unsicherheits-, Fehler- und Toleranzinformationen zurückzuführen. Anstelle einzelner Objekte werden ganze Mengen, Sammlungen und Ensembles visuell untersucht. Es besteht ein Bedarf an visueller Analyse und Modellierung sowie an vergleichender Visualisierung, quantitativen Visualisierungen, skalierbaren Visualisierungen und verknüpften/integrierten Ansichten. Die Konzepte werden anhand verschiedener Beispiele aus den Bereichen skalierbare Visualisierung, Unsicherheitsvisualisierung, geführte Interaktion und immersive Analytik erläutert. Der Vortrag wird auf die anfänglichen provokativen Thesen zurückkommen und zukünftige Forschungsrichtungen im Bereich der skalierbaren interaktiven visuellen Analyse skizzieren, z.B. Modellitics, Biologisierung der digitalen Welt, Zaten (Zukünftige Daten), immersive Analytik, selbstadaptive selbsterklärende Analyse.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2023-01-26",
        "date_to": "2023-01-26",
        "event": "Visual Computing Trends 2023",
        "lecturer": [
            166
        ],
        "location": "Tech Gate Vienna",
        "research_areas": [],
        "keywords": [
            "Visualisierung"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/groeller-2023-tfo/",
        "__class": "Publication"
    },
    {
        "id": "rumpler-2023-dcmcm",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/139835",
        "title": "Real-Time Distortion Correction Methods for Curved Monitors",
        "date": "2023-01",
        "abstract": "In recent years, curved computer monitors have become a viable option for consumers. However, traditional real-time graphics pipelines expect a flat display surface, and most real-time applications, such as games and simulations, do not consider the actual geometry of the monitor during rendering. As a result, the synthesized images appear distorted and unnatural when viewed on a curved display. Distortion correction methods for correcting the lens distortion in cameras and head-mounted displays can also be utilized in real-time rendering software for curved monitors. However, the final distortion observed on the curved display depends on the user's viewpoint. With head-tracking, accurate distortion correction can be performed, and perspective-correct projections can be produced. In this thesis, we analyze various methods for generating correct renderings based on the user's viewpoint and the geometry of the monitor. Our experiments confirm that image-based methods provide the best overall performance with acceptable image quality. However, real-time ray tracing and geometry-based implementations are practicable alternatives when using current hardware, and these methods do not suffer from image resampling artifacts. Additionally, we present and evaluate a custom subdivision scheme as an alternative to hardware tessellation for geometry-based solutions that can be implemented in a single render pass using the recently introduced graphics mesh pipeline. In our subdivision scheme, the geometry is split along a screen-aligned grid that reflects the geometry of the display more accurately than the fixed tessellation patterns of hardware tessellation. While the performance of our software-based subdivision scheme has to be improved further, it produces fewer triangles for coarse geometry and, at the same time, achieves similar image quality to hardware tessellation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2106,
            "image_height": 1229,
            "name": "rumpler-2023-dcmcm-image.png",
            "type": "image/png",
            "size": 4009356,
            "path": "Publication:rumpler-2023-dcmcm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "access,title,abstract,date,keywords,doi,open_access,pages,supervisor",
        "repositum_presentation_id": null,
        "authors": [
            1660
        ],
        "date_end": "2023-01",
        "date_start": "2021-10",
        "diploma_examina": "2013-01-18",
        "doi": "10.34726/hss.2023.107602",
        "matrikelnr": "01526299",
        "open_access": "yes",
        "pages": "102",
        "supervisor": [
            193,
            848
        ],
        "research_areas": [],
        "keywords": [
            "Distortion Compensation",
            "Curved Monitors",
            "Projection",
            "Real-Time Rendering",
            "Vulkan",
            "C++",
            "Auto-Vk",
            "Auto-Vk-Toolkit",
            "Non-Linear Projections",
            "Perspective-Correct Rendering",
            "Graphics Mesh Pipeline",
            "Mesh Shaders",
            "Grid-Based Triangle Subdivision",
            "Head Tracking"
        ],
        "weblinks": [
            {
                "href": "https://github.com/ifl0w/Distortion-Compenstation-for-Curved-Displays/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2106,
                "image_height": 1229,
                "name": "rumpler-2023-dcmcm-image.png",
                "type": "image/png",
                "size": 4009356,
                "path": "Publication:rumpler-2023-dcmcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-image:thumb{{size}}.png"
            },
            {
                "description": "Poster (PDF)",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rumpler-2023-dcmcm-poster.pdf",
                "type": "application/pdf",
                "size": 4451031,
                "path": "Publication:rumpler-2023-dcmcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-poster:thumb{{size}}.png"
            },
            {
                "description": "Thesis (PDF)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rumpler-2023-dcmcm-thesis.pdf",
                "type": "application/pdf",
                "size": 5603994,
                "path": "Publication:rumpler-2023-dcmcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/rumpler-2023-dcmcm-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/rumpler-2023-dcmcm/",
        "__class": "Publication"
    },
    {
        "id": "roth-2023-vlk",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adding Timeline Semaphores to a Modern C++/Vulkan Rendering Framework",
        "date": "2023",
        "abstract": "Timeline semaphores have been added as an additional synchronization primitive to the Vulkan API later on. They enable better and more efficient synchronization in certain scenarios. In the context of this project, they are added to a modern C++ and Vulkan-based rendering framework.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "account",
            "image_width": 300,
            "image_height": 300,
            "name": "roth-2023-vlk-image.png",
            "type": "image/png",
            "size": 113924,
            "path": "Publication:roth-2023-vlk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/roth-2023-vlk/roth-2023-vlk-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/roth-2023-vlk/roth-2023-vlk-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1847
        ],
        "date_end": "2023-12",
        "date_start": "2023-02",
        "matrikelnr": "01633060",
        "supervisor": [
            193,
            848
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Vulkan",
            "C++",
            "Auto-Vk",
            "Auto-Vk-Toolkit",
            "Synchronization",
            "Semaphores",
            "Timeline Semaphores"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://www.khronos.org/blog/vulkan-timeline-semaphores",
                "caption": "Vulkan Timeline Semaphores (Khronos Blog)",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/roth-2023-vlk/",
        "__class": "Publication"
    },
    {
        "id": "Sanjin_Rados_RV",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/188242",
        "title": "Reprojecting Visualizations for Advanced Interaction",
        "date": "2023",
        "abstract": "Visual analytics (VA) is increasingly important in data exploration and analysis. While the qualitative results of interactive visual analysis (IVA) remain an essential strength of VA, we believe that extending the current IVA approach is necessary to support critical applications such as medical diagnosis and decision-making. This master thesis supports the existing research by incorporating more quantitative results and allowing users to reproduce their brushing results. Overlaid descriptive statistics and the relative difference plot contribute to decision-making and interpretation. The structured brushing space and novel brushes like percentile and Mahalanobis enable interactive and reproducible quantitative analysis. Positive feedback validates its applicability across domains.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "title,abstract,date,keywords,type_id",
        "repositum_presentation_id": null,
        "authors": [
            1359
        ],
        "ac_number": "AC16941517",
        "co_supervisor": [
            235
        ],
        "date_start": "2014",
        "doi": "10.34726/hss.2023.24697",
        "matrikelnr": "0226963",
        "open_access": "yes",
        "pages": "145",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Brushing",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sanjin_Rados_RV-thesis.pdf",
                "type": "application/pdf",
                "size": 6152467,
                "path": "Publication:Sanjin_Rados_RV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/Sanjin_Rados_RV-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/Sanjin_Rados_RV-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/Sanjin_Rados_RV/",
        "__class": "Publication"
    },
    {
        "id": "schlachter-2022-vcm",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/158256",
        "title": "Visual Computing Methods for Radiotherapy Planning",
        "date": "2023",
        "abstract": "Radiotherapy (RT) is one of the major curative approaches for cancer. It is a complex andrisky treatment approach, which requires precise planning, prior to the administrationof the treatment. Visual Computing (VC) is a fundamental component of RT planning,providing solutions in all parts of the process — from imaging to delivery.VC employs elements from computer graphics and image processing to create meaningful,interactive visual representations of medical data, and it has become an influentialfield of research for many advanced applications like radiation oncology. InteractiveVC approaches represent a new opportunity to integrate knowledgeable experts andtheir cognitive abilities in exploratory processes, which cannot be conducted by solelyautomatized methods.Despite the significant technological advancements of RT over the last decades, thereare still many challenges to address. In RT planning medical doctors need to consider avariety of information sources for anatomical and functional target volume delineation.The validation and inspection of the defined target volumes and the resulting RT planis a complex task, especially in the presence of moving target areas as it is the case fortumors of the chest and the upper abdomen, for instance, caused by breathing motion.Handling RT planning and delivery-related uncertainties, especially in the presence oftumor motion, is essential to improve the efficiency of the treatment and the minimizationof side effects.This dissertation contributes to the handling of RT planning related uncertainties byproposing novel VC methods. Quantification and visualization of these types of uncer-tainties will be an essential part of the presented methods, and aims at improving the RTworkflow in terms of delineation and registration accuracy, margin definitions and theinfluence of these uncertainties onto the dosimetric outcome. The publications presentedin this thesis address key aspects of the RT treatment planning process, where humaninteraction is required, and VC has the potential to improve the treatment outcome.First, major requirements for a multi-modal visualization framework are defined andimplemented with the aim to improve motion management by including 4D imageinformation. The visualization framework was designed to provide medical doctors withthe necessary visual information to improve the accuracy of tumor target delineationsand the efficiency of RT plan evaluation.xiii\nFurthermore, the topic of deformable image registration (DIR) accuracy is addressed inthis thesis. DIR has the potential to improve modern RT in many aspects, includingvolume definition, treatment planning, and image-guided adaptive RT. However, mea-suring DIR accuracy is difficult without known ground truth, but necessary before theintegration in the RT workflow. Visual assessment is an important step towards clinicalacceptance. A visualization framework is proposed, which supports the exploration andthe assessment of DIR accuracy. It offers different interaction and visualization featuresfor exploration of candidate regions to simplify the process of visual assessment, andthereby improve and contribute to its adequate use in RT planning.Finally, the topic of healthy tissue sparing is addressed with a novel visualization approachto interactively explore RT plans, and identify regions of healthy tissue, which can bespared further without compromising the treatment goals defined for tumor targets. Forthis, overlap volumes of tumor targets and healthy organs are included in the RT planevaluation process, and the initial visualization framework is extended with quantitativeviews. This enables quantitative properties of the overlap volumes to be interactivelyexplored, to identify critical regions and to steer the visualization for a detailed inspectionof candidates.All approaches were evaluated in user studies covering the individual visualizations andtheir interactions regarding helpfulness, comprehensibility, intuitiveness, decision-makingand speed, and if available using ground truth data to prove their validity.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 325,
            "name": "schlachter-2022-vcm-.JPG",
            "type": "image/jpeg",
            "size": 35609,
            "path": "Publication:schlachter-2022-vcm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-:thumb{{size}}.png"
        },
        "sync_repositum_override": "authors,abstract,supervisor",
        "repositum_presentation_id": null,
        "authors": [
            1651
        ],
        "co_supervisor": [
            231
        ],
        "date_end": "2022-09-05",
        "date_start": "2019",
        "doi": "10.34726/hss.2023.110705",
        "matrikelnr": "01428822",
        "open_access": "yes",
        "pages": "180",
        "reviewer_1": [
            977
        ],
        "reviewer_2": [
            563
        ],
        "rigorosum": "2023-02-14",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "medicine",
            "radiology",
            "medical physics",
            "oncology"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/research/publications/2022/schlachter-2022-vcm/schlachter-2022-vcm-.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 325,
                "name": "schlachter-2022-vcm-.JPG",
                "type": "image/jpeg",
                "size": 35609,
                "path": "Publication:schlachter-2022-vcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Dissertation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schlachter-2022-vcm-Dissertation.pdf",
                "type": "application/pdf",
                "size": 65277835,
                "path": "Publication:schlachter-2022-vcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-Dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/schlachter-2022-vcm-Dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/schlachter-2022-vcm/",
        "__class": "Publication"
    },
    {
        "id": "shilo-2023-vna",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/188343",
        "title": "Visual narratives against misleading visualizations in health care",
        "date": "2023",
        "abstract": "This thesis proposes a solution against misleading visualizations in health care, which convey inaccurate insights. Misleading elements of such visualizations originate from uncertainties emerging across the steps of the medical visualization pipeline. We investigate the field of storytelling and gamification to support the general audience in recognizing and addressing misleading visualizations in health care. Our research questions are: ``Which types of uncertainty arise in the medical visualization pipeline and is there any intent behind those?'' and ``How can we inform the general population about the existence of visualization uncertainty?'' To answer the research questions, we created a taxonomy of uncertainty types in the medical visualization pipeline and designed and developed the educational game ``DeteCATive'' to convey these concepts to the general public in an engaging way. The game includes eight tasks that contain amusing fictional stories with misleading visualizations created with intent and based on medical data. Every story comes with its own set of assumptions. A player should define whether an assumption is correct or false based on the story to gain points and rewards. Then, these points can be spent at the end of the game to fulfill the game objective. To assess the educational value of the game, we conducted a user study with 21 participants. This study provided us with significant insights. Certain misleading visualization tricks were hard to recognize by the participants. The game obtained positive participants feedback from the participants regarding memorability, reinforcement, and engagement. Incorrectly assessed assumptions required more time as opposed to correctly assessed ones, indicating the willingness of participants to learn more. Further research directions include the investigation of a potential correlation between uncertainty types and detectability or investigating further intents.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5288
        ],
        "doi": "10.34726/hss.2023.112160",
        "open_access": "yes",
        "pages": "128",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "storytelling",
            "on-screen gamification approaches",
            "narrative visualization",
            "misleading visualizations",
            "biomedical visualization pipeline",
            "uncertainty in biomedicine",
            "uncertainty quantification",
            "educational visualization",
            "visualization for large audiences"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "shilo-2023-vna-thesis.pdf",
                "type": "application/pdf",
                "size": 8222502,
                "path": "Publication:shilo-2023-vna",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/shilo-2023-vna-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/shilo-2023-vna-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/shilo-2023-vna/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2023-aha",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/176598",
        "title": "A Holistic Approach for Metabolic Pathway Visualization",
        "date": "2023",
        "abstract": "Metabolic pathways represent interconnected reactions of chemical entities, which take place within cells. These pathways are represented in domain-specific notations, which are used for knowledge exchange in the life sciences. Since they can contain thousands of nodes, automatic layouts are required that conserve the meaning of these pathways. There are many graph drawing algorithms including hierarchical, topology-shape-metric, force-directed, and constraint-based approaches. They typically consider only a subset of the requirements needed to faithfully visualize metabolic pathways and rarely support domain-specific notations. In this work, we present a holistic approach to visualize metabolic pathways compliant with the Systems Biology Graph Notation (SBGN). Our approach starts with loading a metabolic pathway and mapping it to a clustered graph structure to model the hierarchy of subcellular locations. The nodes are then arranged through vectorized stress majorization using domain-specific constraints in a multilevel setup. This leads to a SBGN-compliant layout. To distinguish certain reactions at subcellular locations, we developed a visualization technique that produces distinct shapes in analogy to an elastic band. To explore large pathways, we provide an expand and collapse interaction in combination with motif simplification. We determine the degree of the layout's compliance with the SBGN by proposing domain-specific quality metrics. Our results demonstrate that the formulation of SBGN-specific constraints in the framework of vectorized stress majorization is feasible. Finally, our evaluation corroborates that our layout approach can faithfully represent metabolic pathways.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5261
        ],
        "co_supervisor": [
            1464
        ],
        "doi": "10.34726/hss.2023.86461",
        "open_access": "yes",
        "pages": "144",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "graph drawing",
            "metabolic pathways",
            "cluster visualization",
            "multilevel layout",
            "constraint-based layout",
            "expand and collapse",
            "complexity reduction",
            "SBGN",
            "graph quality metrics",
            "motif simplification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2023-aha-thesis.pdf",
                "type": "application/pdf",
                "size": 4484692,
                "path": "Publication:mistelbauer-2023-aha",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/mistelbauer-2023-aha-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/mistelbauer-2023-aha-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/mistelbauer-2023-aha/",
        "__class": "Publication"
    },
    {
        "id": "noellenburg-2023-pga",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/190033",
        "title": "Planarizing Graphs and Their Drawings by Vertex Splitting",
        "date": "2023",
        "abstract": "The splitting number of a graph G= (V, E) is the minimum number of vertex splits required to turn G into a planar graph, where a vertex split removes a vertex v∈ V, introduces two new vertices v1, v2, and distributes the edges formerly incident to v among v1, v2. The splitting number problem is known to be NP-complete for abstract graphs and we provide a non-uniform fixed-parameter tractable (FPT) algorithm for this problem. We then shift focus to the splitting number of a given topological graph drawing in R2, where the new vertices resulting from vertex splits must be re-embedded into the existing drawing of the remaining graph. We show NP-completeness of this embedded splitting number problem, even for its two subproblems of (1) selecting a minimum subset of vertices to split and (2) for re-embedding a minimum number of copies of a given set of vertices. For the latter problem we present an FPT algorithm parameterized by the number of vertex splits. This algorithm reduces to a bounded outerplanarity case and uses an intricate dynamic program on a sphere-cut decomposition.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1579,
            5307,
            5227,
            5308,
            1464,
            5309
        ],
        "booktitle": "Graph Drawing and Network Visualization. GD 2022",
        "date_from": "2022-09-13",
        "date_to": "2022-09-16",
        "doi": "10.1007/978-3-031-22203-0_17",
        "event": "International Symposium on Graph Drawing and Network Visualization (GD 2022)",
        "isbn": "978-3-031-22203-0",
        "lecturer": [
            5308
        ],
        "location": "Tokyo",
        "pages": "15",
        "pages_from": "232",
        "pages_to": "246",
        "publisher": "Springer",
        "volume": "13764",
        "research_areas": [],
        "keywords": [
            "Parameterized complexity",
            "Planarization",
            "Vertex splitting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "noellenburg-2023-pga-paper.pdf",
                "type": "application/pdf",
                "size": 1051045,
                "path": "Publication:noellenburg-2023-pga",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/noellenburg-2023-pga-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/noellenburg-2023-pga/",
        "__class": "Publication"
    },
    {
        "id": "oppitz-2023-ais",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/176550",
        "title": "Advanced Importance Sampling Techniques for Virtual Ray Lights",
        "date": "2023",
        "abstract": "This thesis provides new importance sampling techniques for Virtual Ray Lights forRendering Scenes in Participating Media. We will discuss the foundations of rendering scenes with participating media first, to get an understanding of this topic. Furthermore, we will provide an overview of different approaches that can be used for the rendering of these scenes. Virtual Ray Lights is an algorithm that traces light rays from the light source through the scene, which are then evaluated individually for each camera ray. Importance sampling is used on both rays to get a samples for each ray for which their contribution can be calculated. As a solid understanding of the original algorithm is needed to understand the newapproaches that we introduce, a focus is laid on explaining the mathematical foundations of the approach. We highlight the shortcomings that we found for rendering anisotropic participating media and introduce our solutions to solve them more efficiently. We provide two different solutions to the problem that we evaluated in the originalalgorithm. Our solutions are explained mathematically, via pseudo code and are evaluated with a multitude of tests. The goal of this thesis is to provide new, simple, robust and fast solutions to rendering scenes with anisotropic participating media.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2133,
            "image_height": 886,
            "name": "oppitz-2023-ais-image.png",
            "type": "image/png",
            "size": 560004,
            "path": "Publication:oppitz-2023-ais",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1501
        ],
        "date_end": "2023-04-17",
        "date_start": "2018-11",
        "diploma_examina": "2023-04-17",
        "doi": "10.34726/hss.2023.111460",
        "matrikelnr": "01227129",
        "open_access": "yes",
        "pages": "109",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "virtual point lights",
            "virtual ray lights",
            "ray tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2133,
                "image_height": 886,
                "name": "oppitz-2023-ais-image.png",
                "type": "image/png",
                "size": 560004,
                "path": "Publication:oppitz-2023-ais",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "oppitz-2023-ais-poster.pdf",
                "type": "application/pdf",
                "size": 714563,
                "path": "Publication:oppitz-2023-ais",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "oppitz-2023-ais-thesis.pdf",
                "type": "application/pdf",
                "size": 5161313,
                "path": "Publication:oppitz-2023-ais",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/oppitz-2023-ais-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/oppitz-2023-ais/",
        "__class": "Publication"
    },
    {
        "id": "preim-2023-vva",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": "20.500.12708/192952",
        "title": "Visualization, Visual Analytics and Virtual Reality in Medicine : State-Of-the-art Techniques and Applications",
        "date": "2023",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            563,
            1410,
            5320,
            1544
        ],
        "isbn": "9780128229620",
        "pages": "554",
        "publisher": "Elsevier",
        "research_areas": [],
        "keywords": [
            "medical visualization",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/preim-2023-vva/",
        "__class": "Publication"
    },
    {
        "id": "tuscher-2023-qeo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/175746",
        "title": "Quantitative Evaluation of Reading Times and Error Rates When Interpreting Visual Content",
        "date": "2023",
        "abstract": "As static visualizations like diagrams, maps, charts, or drawings get more and more important in everyday life, it is crucial to find out how helpful they actually are, especially in comparison to text. This diploma thesis outlines if visualizations or texts are processed faster by humans and which representation is better comprehensible. For this purpose, we conducted an exploratory study in which we measured processing times and error rates when interpreting either texts or visualizations. In a pre-study, in which each participant had to describe four visualizations in their own words, we found out which parts of a visualization are deemed most important by people. The focus of the participants was on extrema, as well as on certain other values. Furthermore, the participants often compared different values in order to describe the visualization. The pre-study gave us valuable insights which we used for writing the texts for our study. For our exploratory study, where we wanted to find out more about whether visualizations or text can be interpreted more easily, we used 15 visualizations and texts that contained the same information. Each participant had to work on at least six topics, thereof at least three by using visualizations and three by using texts, and had to answer three questions per topic at the end. The time was measured while the participants worked on the topics.We could see that the participants solved topics by using visualizations on average about 1.3 times faster as compared to when they used texts. This difference was statistically significant. We could not find significant differences between the error rates for topics, when participants used visualizations or texts. When texts were used, we found correlations between text lengths and processing speeds, as well as text lengths and error rates. The content of visualizations or texts did not seem to play a role for processing speed or error rates. However, we found cases in which topics with visualizations were solved more than 50 % faster as compared to topics with texts. Our results provide a solid basis for defining further hypotheses regarding the readability of visualizations compared to text. In this thesis, we present the final hypotheses that emerge from our exploratory study. We consider these to be extremely interesting for visualization research, as there is much evidence that visual information can be processed faster than text. Whereby it is worth mentioning that the actual increase in performance may be much lower than often claimed in the media (e.g. `60,000 times faster than text'). Furthermore, our results indicate that no significant differences can be found between visual information and text with regard to the error rate in answering final questions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5259
        ],
        "co_supervisor": [
            950
        ],
        "doi": "10.34726/hss.2023.95045",
        "open_access": "yes",
        "pages": "131",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "data visualization",
            "data literacy",
            "processing speed",
            "comprehensibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "tuscher-2023-qeo-thesis.pdf",
                "type": "application/pdf",
                "size": 4823934,
                "path": "Publication:tuscher-2023-qeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/tuscher-2023-qeo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/tuscher-2023-qeo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/tuscher-2023-qeo/",
        "__class": "Publication"
    },
    {
        "id": "KLAUS-2020-PCC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/192749",
        "title": "In-core level-of-detail generation for point clouds on GPUs using CUDA",
        "date": "2023",
        "abstract": "In this master’s thesis, I present PotreeConverterGpu, a GPU-based software for generating octree-based Level-Of-Detail Structures (LOD) structures from point clouds. The resulting LODs are fully-compatible with Potree, a point cloud renderer for viewing large point clouds in the web browser. In the past, several different point cloud LOD generation algorithms have been proposed. Although these solutions had different focuses, advantages, and disadvantages, they all aimed at providing a high point throughput as well as a high visual quality of the generated detail abstractions. In this thesis, the implemented LOD generation algorithms rely mainly on PotreeConverter but have been improved especially in terms of point throughput and the visual quality of the generated LODs. PotreeConverterGpu achieves a point throughput that is – depending on the desired visual quality of the generated LODs – 13 times (highest quality) up to 85 times (lowest quality) higher than within PotreeConverter 2.x. This performance improvement is the result of a highly-optimized GPGPU implementation based on CUDA. While LODs generated with the current PotreeConverter implementation suffer from aliasing artifacts, PotreeConverterGpu solves this problem by providing distance-based color filtering for point clouds. This enables high-quality point cloud renderings with significantly reduced aliasing artifacts while preserving textural details. Due to its well-defined software API and architecture, PotreeConverterGpu also enables easy integration of LOD generation for point clouds into industrial applications. One example for such an application is Inline Computational Imaging (ICI), a high-speed and high-precision 3D sensing technology of the AIT Austrian Institute of Technology GmbH. To provide an ICI-compatible LOD generation, this master thesis was conducted in cooperation with the AIT.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "KLAUS-2020-PCC-.pdf",
            "type": "application/pdf",
            "size": 2092339,
            "path": "Publication:KLAUS-2020-PCC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-:thumb{{size}}.png"
        },
        "sync_repositum_override": "access,date,projects",
        "repositum_presentation_id": null,
        "authors": [
            1802
        ],
        "co_supervisor": [
            1116
        ],
        "date_end": "2021-06",
        "date_start": "2020-10",
        "diploma_examina": "2021-06",
        "doi": "10.34726/hss.2023.85541",
        "matrikelnr": "e01407087",
        "open_access": "yes",
        "pages": "96",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point clouds",
            "CUDA",
            "LOD structures",
            "GPU",
            "rendering",
            "GPGPU programming",
            "octree"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "KLAUS-2020-PCC-.pdf",
                "type": "application/pdf",
                "size": 2092339,
                "path": "Publication:KLAUS-2020-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KLAUS-2020-PCC-thesis.pdf",
                "type": "application/pdf",
                "size": 3798546,
                "path": "Publication:KLAUS-2020-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/KLAUS-2020-PCC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/KLAUS-2020-PCC/",
        "__class": "Publication"
    },
    {
        "id": "korpitsch-2023-sao",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/188331",
        "title": "Semantic-Aware Animation of Hand-Drawn Characters",
        "date": "2023",
        "abstract": "In recent years there has been a lot of research in the area of edutainment, which facilitates effective learning processes by increasing the engagement of the learners. Guided visualisations, such as audio-guided museum tours or Augmented Reality-guided city tours, are one of the potential applications. Guided visualisations are a form of mental practice which traditionally involves verbal guidance that guides a user through a series of visualisations. With the technique of Augmented Reality, one can integrate additional information to guide users or embody verbal guidance with a virtual character, which enables an engaging experience. In this thesis, we aim to make a first step towards guided visualisation by introducing a hand-drawn character for instruction purposes. We especially focus on animation, since character animations are used in different applications, such as computer graphics, but can be hardly generated without certain pre-knowledge. Here, we present a novel pipeline for automatically generating believable movements for hand-drawn characters. The approach consists of five steps. (1) the hand-drawn character is detected from an input image, and (2) the sub-parts of the drawn character, such as the legs and thehead, are identified, respectively. (3) A bone skeleton for animation is extracted and augmented with the semantic information from the previous step. (4) Based on the augmented skeleton, we assign a super-class that the skeleton belongs to, i.e., quadruped, flying or humanoid, and match the end-effectors of the skeleton to the end-effectors of the reference skeleton of the super-class. (5) Finally, we generate a triangular mesh from the input illustration. Once the matching reference skeleton and the hand-drawn character are overlayed, the character is animated and can attract users in different applications. To show the feasibility of our approach, we evaluate the proposed pipeline with a set of hand-drawn characters showing several well-articulate drawings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1697
        ],
        "co_supervisor": [
            1464
        ],
        "doi": "10.34726/hss.2023.113969",
        "open_access": "yes",
        "pages": "91",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "computer animation",
            "character animation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch-2023-sao-thesis.pdf",
                "type": "application/pdf",
                "size": 22628975,
                "path": "Publication:korpitsch-2023-sao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/korpitsch-2023-sao-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/korpitsch-2023-sao-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/korpitsch-2023-sao/",
        "__class": "Publication"
    },
    {
        "id": "freude-2023-sem",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/175763",
        "title": "Sampling-Distribution-Based Evaluation for Monte Carlo Rendering",
        "date": "2023",
        "abstract": "In this paper, we investigate the application of per-pixel difference metrics for evaluating Monte Carlo (MC) rendering techniques. In particular, we propose to take the sampling distribution of the mean (SDM) into account for this purpose. We establish the theoretical background and analyze other per-pixel difference metrics, such as the absolute deviation (AD) and the mean squared error (MSE) in relation to the SDM. Based on insights from this analysis, we propose a new, alternative, and particularly easy-to-use approach, which builds on the SDM and facilitates meaningful comparisons of MC rendering techniques on a per-pixel basis. In order to demonstrate the usefulness of our approach, we compare it to commonly used metrics based on a variety of images computed with different rendering techniques. Our evaluation reveals limitations of commonly used metrics, in particular regarding the detection of differences between renderings that might be difficult to detect otherwise—this circ umstance is particularly apparent in comparison to the MSE calculated for each pixel. Our results indicate the potential of SDM-based approaches to reveal differences between MC renderers that might be caused by conceptual or implementation-related issues. Thus, we understand our approach as a way to facilitate the development and evaluation of rendering techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1028,
            "image_height": 1028,
            "name": "freude-2023-sem-image.png",
            "type": "image/png",
            "size": 731748,
            "path": "Publication:freude-2023-sem",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1128,
            1129,
            1073,
            193
        ],
        "booktitle": "Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",
        "date_from": "2023-02-19",
        "date_to": "2023-02-21",
        "doi": "10.5220/0011886300003417",
        "event": "18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (GRAPP)",
        "isbn": "978-989-758-634-7",
        "lecturer": [
            1128
        ],
        "location": "Lisbon, Portugal",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "119",
        "pages_to": "130",
        "publisher": "Scitepress",
        "volume": "1",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "computer graphics",
            "Rendering",
            "Ray Tracing",
            "Evaluation",
            "Validation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1028,
                "image_height": 1028,
                "name": "freude-2023-sem-image.png",
                "type": "image/png",
                "size": 731748,
                "path": "Publication:freude-2023-sem",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude-2023-sem-paper.pdf",
                "type": "application/pdf",
                "size": 8656300,
                "path": "Publication:freude-2023-sem",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/freude-2023-sem-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "OpenData",
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/freude-2023-sem/",
        "__class": "Publication"
    },
    {
        "id": "boeroendy-2023-eui",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/153884",
        "title": "Exploring and understanding the impact of machine learning choices on radiotherapy decision making",
        "date": "2023",
        "abstract": "In prostate cancer radiotherapy planning, the accurate description of the position and shape of pelvic organs is a crucial part of successful patient treatment. However, the treatment is conducted throughout a long period of time, during which the position and shape of the organs might significantly vary. In addition, the amount of variation tends to differ for each individual. Recent visual analytics publications investigated this by partitioning past patients into clusters with similar variability. Using this as part of a prediction for the organ variability of new patients could improve and further personalize therapy planning. However, the statistical and machine learning methods employed in these works have not been thoroughly and quantitatively evaluated so far and their impact on the final predictions has not been assessed. This thesis focuses on taking a particular implementation of these approaches, proposed by Furmanová et al. [FMCM+21], and quantitatively evaluating the effects of using different alternatives for the employed methods. We focus on two aspects: the effect of using different shape descriptor methods and the impact of modifications in the clustering methods employed. By providing an additional visual analytics framework to visually assess the effect of the aforementioned alternatives, we aim to ensure an effortless and interactive visual interpretation of the impact of various modifications. This is anticipated to support the developers of said predictive algorithms in designing more robust approaches. As a result of our investigation we have highlighted potential issues and improved the initial implementation of the proposed workflow. We conclude that at the current stage of the patient cohort used for the analysis, the selection of appropriate shape description methods should be of main focus, while a notable impact of using different clustering methods is limited to the prediction of the most extreme cases of organ shape variations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 365,
            "image_height": 199,
            "name": "boeroendy-2023-eui-.JPG",
            "type": "image/jpeg",
            "size": 22573,
            "path": "Publication:boeroendy-2023-eui",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5187
        ],
        "doi": "10.34726/hss.2023.91282",
        "open_access": "yes",
        "pages": "107",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "machine learning",
            "prediction",
            "statistical evaluation",
            "clustering",
            "shape descriptor",
            "CT scan",
            "visual analytics",
            "prostate cancer"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 365,
                "image_height": 199,
                "name": "boeroendy-2023-eui-.JPG",
                "type": "image/jpeg",
                "size": 22573,
                "path": "Publication:boeroendy-2023-eui",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "boeroendy-2023-eui-thesis.pdf",
                "type": "application/pdf",
                "size": 4822156,
                "path": "Publication:boeroendy-2023-eui",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/boeroendy-2023-eui-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/boeroendy-2023-eui/",
        "__class": "Publication"
    },
    {
        "id": "cescg-2023",
        "type_id": "proceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/190034",
        "title": "Proceedings of the 27th Central European Seminar on Computer Graphics : CESCG 2023",
        "date": "2023",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [],
        "doi": "10.34726/5245",
        "editor": "Ilcik, Martin and Ulschmid, Annalena and Wimmer, Michael",
        "isbn": "978-3-9504701-4-7",
        "open_access": "yes",
        "pages": "120",
        "publisher": "Vienna University of Technology",
        "research_areas": [],
        "keywords": [
            "Visual Computing",
            "Computer Graphics",
            "Computational Geometry",
            "Rendering (computer graphics)"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cescg-2023-paper.pdf",
                "type": "application/pdf",
                "size": 63148900,
                "path": "Publication:cescg-2023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/cescg-2023-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/cescg-2023-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/cescg-2023/",
        "__class": "Publication"
    },
    {
        "id": "da_cunha_melo-2023-c3m",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/189341",
        "title": "Constraint-Based 3D Manipulation for Molecular Modelling on the Web",
        "date": "2023",
        "abstract": "Computer-Aided Molecular Design (MolCAD), or molecular modelling, is the computational design and manipulation of molecular structures. This field is experiencing a surge in interest and development, where the focus is often on advanced visualization techniques. However, existing MolCAD tools often lack the level of usability and efficient interaction commonly found in traditional CAD software. This thesis addresses this gap through three methods: (1) a survey of established CAD and MolCAD literature and software, (2) the implementation of identified promising interaction techniques; and (3) case studies to validate their effectiveness.As a result of this process, two interaction techniques are implemented in a web-based environment: a PCA-based alignment tool, and a real-time collision detection system. The decision to implement these tools for the web was made with the aim to provide ease of accessibility and deployment across various platforms, as no installation is required.The case studies conducted were aimed at validating these two implemented approaches. The real-time collision detection system received positive feedback, and showed great potential to make the MolCAD process less frustrating and more efficient. The PCA- based alignment tool, however, received mixed responses, indicating areas for future work. Nonetheless, both features demonstrate the potential to improve user satisfaction and efficiency in MolCAD.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1610
        ],
        "doi": "10.34726/hss.2023.104307",
        "open_access": "yes",
        "pages": "84",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [
            "Molecular Modeling",
            "Visualization",
            "Constraint-Based Interaction",
            "Collision Detection",
            "WebGPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "da_cunha_melo-2023-c3m-thesis.pdf",
                "type": "application/pdf",
                "size": 2851536,
                "path": "Publication:da_cunha_melo-2023-c3m",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/da_cunha_melo-2023-c3m-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/da_cunha_melo-2023-c3m-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/da_cunha_melo-2023-c3m/",
        "__class": "Publication"
    },
    {
        "id": "duong-2023-ieo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/154197",
        "title": "Investigating the Effect of Tumor Segmentations on Radiomics Analysis through Visual Analytics",
        "date": "2023",
        "abstract": "In recent years, radiomics has revolutionized the clinical assessment of tumors. By extracting quantitative features from medical images, this approach provides an objective analysis of tumorous tissues, which ultimately aids medical experts in decision-making processes regarding diagnosis and treatment. However, radiomics is highly dependent on the quality of tumor segmentation. Different tumor delineations resulting from intra- and interobserver variability may significantly affect the results of radiomics analysis. To our knowledge, no prior research has been conducted on the impact of interobserver differences in tumor segmentations on radiomic analytics.This thesis aims to investigate how different tumor segmentations influence radiomics analysis. We therefore design and propose the visual analytics tool ProSeRa (Probabilistic Segmentation on Radiomics), which provides visual analytics strategies for exploring the impact of probabilistic tumor segmentation on radiomics. We empower the users to examine the results of our radiomics analysis with respect to clinical data based on segmentation accuracy thresholds, which we calculate based on the observers’ agreement. We provide ways to explore and analyze the radiomics data using, among others, dimensionality reduction algorithms and cluster analysis mechanisms in conjunction with effective and expressive visualizations. ProSeRa facilitates the assessment of the robustness of the radiomics analysis and supports the exploration of the impact of segmentation on the analysis. Based on the evaluation of our results, we conclude that, as anticipated, variability intumor segmentations considerably influences the radiomics analysis results. The impactwas especially prominent in the cluster analysis, which provided different outcomes fordifferent segmentation accuracy thresholds. Thereby, we detected additional variables, such as the overall tumor stage, being crucial for grouping patients into clusters.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 462,
            "image_height": 420,
            "name": "duong-2023-ieo-.JPG",
            "type": "image/jpeg",
            "size": 57291,
            "path": "Publication:duong-2023-ieo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5232
        ],
        "doi": "10.34726/hss.2023.99620",
        "open_access": "yes",
        "pages": "97",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Visual Analytics",
            "Radiomics",
            "Tumor Segmentation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 462,
                "image_height": 420,
                "name": "duong-2023-ieo-.JPG",
                "type": "image/jpeg",
                "size": 57291,
                "path": "Publication:duong-2023-ieo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "duong-2023-ieo-thesis.pdf",
                "type": "application/pdf",
                "size": 4839186,
                "path": "Publication:duong-2023-ieo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/duong-2023-ieo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/duong-2023-ieo/",
        "__class": "Publication"
    },
    {
        "id": "el-sherbiny-2023-vat",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/177289",
        "title": "Visual Analytics to Support Correlative Exploration and Sensemaking in Radiogenomics Analysis",
        "date": "2023",
        "abstract": "Radiogenomics refers to the combined study of imaging-derived features, called radiomics and gene sequencing data, called genomics. Challenges in the analysis of radiogenomic data include the size, heterogeneity, and complexity of the datasets. These challenges make the analysis of the available information space tedious for cancer experts and hinder the exploration and sensemaking of patient information. This is further hampered when additional clinical information needs to be included in the analyses. Visual Analytics (VA) combines automated analysis techniques, such as machine learning or statistics, together with interactive visual interfaces. It allows users to gain insights into complex data and make effective decisions. In the context of radiogenomics analysis with respect to clinical data, VA approaches offer promising directions in tumor profiling. However, VA approaches that bridge radiogenomic and clinical data in an interactive and flexible visual framework have not been investigated before. In this work, we enable the integrated exploration and analysis of radiogenomic data and clinical information for knowledge discovery and hypothesis assessment in a large cohort of prostate cancer patients. We handle missingness in the data through imputation techniques and apply unsupervised machine learning for the dimensionality reduction and clustering of the data to facilitate data handling and visualization. As a result, we present an interactive visual interface for two target audiences: cancer experts and biomedical data scientists. Our framework enables cancer experts to gain insights into the data by revealing new patterns or correlations in the datasets. It allows them to interactively assess and refine any hypothesis in mind for the underlying datasets. For biomedical data scientists, our framework offers the possibility to understand the analysis components and interactively explore their impact on the outcome. We evaluate the unsupervised machine learning models through similarity measures such as the silhouette coefficient. To assess the usability of the framework, we perform usage scenarios that we confirm by our cancer experts. The feedback from our domain experts reveals that our framework is a suitable and flexible technique to gain insights into large and heterogenous radiogenomic data with respect to clinical data. It promotes knowledge discovery as well as hypothesis creation, assessment, and refinement. Interacting with the different visualization and analysis components enhances the understanding of the data and the resulting visual representations. Our approach incorporates the integration of interactive visualization and automated analysis components. It supports our collaborating domain experts at the Medical University of Vienna to obtain new insights into their data, while investigating hypotheses at hand.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5276
        ],
        "doi": "10.34726/hss.2023.102442",
        "open_access": "yes",
        "pages": "136",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "Visual Analytics",
            "Big Data",
            "Radiomics",
            "Genomics",
            "Cancer"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "el-sherbiny-2023-vat-thesis.pdf",
                "type": "application/pdf",
                "size": 5569898,
                "path": "Publication:el-sherbiny-2023-vat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/el-sherbiny-2023-vat-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/el-sherbiny-2023-vat-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2023/el-sherbiny-2023-vat/",
        "__class": "Publication"
    },
    {
        "id": "Essler2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Web-Based Flood Map Visualization",
        "date": "2022-12-08",
        "abstract": "Floods cause many deaths as well as lots of financial damage. Flood maps encode areas susceptibility for floods and can be used in several ways that reduce loss from floods - they are already in use for determining in which areas it is safe to build new buildings. Making them available online might increase public awareness of the risks associated with floods\nin specific areas. Additionally, maps are easier to reach once they are available on the internet. In the course of this thesis, the current status quo concerning available online\nflood maps is determined by research, and a React-based web map component to visualize flood maps was developed for the web client of a flood simulation and visualization system.\nThe map represents floods by polygons. The vertices of the polygons are provided by the simulation system, and are then rendered over the map on the web client. In the future, the developed component could include further interactivity that allows more correspondence with the simulation system, so that it could edit the simulations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 674,
            "name": "Essler2022-.JPG",
            "type": "image/jpeg",
            "size": 116567,
            "path": "Publication:Essler2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5224
        ],
        "date_end": "2022-12-08",
        "date_start": "2022-07-05",
        "matrikelnr": "01328166",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 674,
                "name": "Essler2022-.JPG",
                "type": "image/jpeg",
                "size": 116567,
                "path": "Publication:Essler2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Essler2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 21606926,
                "path": "Publication:Essler2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/Essler2022-Bachelor thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Essler2022/",
        "__class": "Publication"
    },
    {
        "id": "hladky-2022-QS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/152307",
        "title": "QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction",
        "date": "2022-12",
        "abstract": "Cloud rendering is attractive when targeting thin client devices such as phones or VR/AR headsets, or any situation where a high-end GPU is not available due to thermal or power constraints. However, it introduces the challenge of streaming rendered data over a network in a manner that is robust to latency and potential dropouts. Current approaches range from streaming transmitted video and correcting it on the client---which fails in the presence of disocclusion events---to solutions where the server sends geometry and all rendering is performed on the client. To balance the competing goals of disocclusion robustness and minimal client workload, we introduce QuadStream, a new streaming technique that reduces motion-to-photon latency by allowing clients to render novel views on the fly and is robust against disocclusions. Our key idea is to transmit an approximate geometric scene representation to the client which is independent of the source geometry and can render both the current view frame and nearby adjacent views. Motivated by traditional macroblock approaches to video codec design, we decompose the scene seen from positions in a view cell into a series of view-aligned quads from multiple views, or QuadProxies. By operating on a rasterized G-Buffer, our approach is independent of the representation used for the scene itself. Our technical contributions are an efficient parallel quad generation, merging, and packing strategy for proxy views that cover potential client movement in a scene; a packing and encoding strategy allowing masked quads with depth information to be transmitted as a frame coherent stream; and an efficient rendering approach that takes advantage of modern hardware capabilities to turn our QuadStream representation into complete novel views on thin clients. According to our experiments, our approach achieves superior quality compared both to streaming methods that rely on simple video data and to geometry-based streaming.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 500,
            "image_height": 281,
            "name": "hladky-2022-QS-teaser.jpg",
            "type": "image/jpeg",
            "size": 176021,
            "path": "Publication:hladky-2022-QS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,location,lecturer,event,date_to,date_from",
        "repositum_presentation_id": null,
        "authors": [
            5184,
            5185,
            5186,
            1650,
            312,
            1662
        ],
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "737990",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-12-06",
        "date_to": "2022-12-09",
        "event": "Siggraph Asia",
        "issn": "1557-7368",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            5184
        ],
        "location": "Daegu",
        "number": "6",
        "publisher": "ASSOC COMPUTING MACHINERY",
        "volume": "41",
        "research_areas": [
            "Geometry",
            "Rendering",
            "VR"
        ],
        "keywords": [
            "streaming",
            "real-time rendering",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 500,
                "image_height": 281,
                "name": "hladky-2022-QS-teaser.jpg",
                "type": "image/jpeg",
                "size": 176021,
                "path": "Publication:hladky-2022-QS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/hladky-2022-QS-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/hladky-2022-QS/",
        "__class": "Publication"
    },
    {
        "id": "rasoulzadeh-2022-strokes2surface",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153311",
        "title": "Strokes2Surface: Recovering Curve Networks from 4D Architectural Design Sketches for Shape Inference",
        "date": "2022-10-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5233,
            193,
            1799
        ],
        "date_from": "2022-10-10",
        "date_to": "2022-10-12",
        "event": "Advance AEC Autumn School",
        "lecturer": [
            5233
        ],
        "research_areas": [],
        "keywords": [
            "Architectural Geometry",
            "Concept Design",
            "Digital Modeling",
            "Machine Learning",
            "Curve Networks",
            "Shape Inference"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rasoulzadeh-2022-strokes2surface/",
        "__class": "Publication"
    },
    {
        "id": "Stritzel2022_thesis",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/80544",
        "title": "Predicting and Communicating Outcome of COVID-19 Hospitalizations with Medical Image and Clinical Data",
        "date": "2022-10-12",
        "abstract": "We propose a visual analytics framework to support the prediction, analysis, and communication of COVID-19 hospitalization outcomes. Although several real-world data sets about COVID-19 are openly available, most of the current research focuses on the detection of the disease through chest X-ray images. Until now, no previous work exists on combining insights from medical image data with knowledge extracted from clinical data, predicting the likelihood of an intensive care unit (ICU) visit, ventilation, or decease. Moreover, available literature has not yet focused on communicating such results to the broader society. To support the prediction, analysis, and communication of the outcomes of COVID-19 hospitalizations on the basis of a publicly available data set comprising both electronic health data and medical image data Saltz et al. [2021], we conduct the following three steps: (1) automated segmentation of the available X-ray images and processing of clinical data, (2) development of a model for the prediction of disease outcomes and a comparison to state-of-the-art prediction scores for both data sources, i.e., medical images and clinical data, and (3) the communication of outcomes to three different user groups (namely, medical and clinical experts, experts in data analytics, and the general population) through an interactive dashboard. The dashboard is designed to enable users to solve user-specific tasks, also defined in this work. Preliminary results indicate that the prediction results are improved by combining medical image data with clinical data, while analysis and communication of hospitalization outcomes prove to be a wide and significant topic in the context of COVID-19 prevention.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 623,
            "image_height": 168,
            "name": "Stritzel2022_thesis-.JPG",
            "type": "image/jpeg",
            "size": 21026,
            "path": "Publication:Stritzel2022_thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            5188
        ],
        "date_end": "2022",
        "date_start": "2021",
        "diploma_examina": "2022-10-12",
        "doi": "10.34726/hss.2022.97880",
        "matrikelnr": "11920598",
        "open_access": "yes",
        "pages": "163",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Visual Analytics",
            "Automatic Image Segmentation",
            "COVID-19",
            "Life and medical sciences",
            "Human-centered computing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 623,
                "image_height": 168,
                "name": "Stritzel2022_thesis-.JPG",
                "type": "image/jpeg",
                "size": 21026,
                "path": "Publication:Stritzel2022_thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stritzel2022_thesis-Master thesis.pdf",
                "type": "application/pdf",
                "size": 6616527,
                "path": "Publication:Stritzel2022_thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stritzel2022_thesis-Poster.pdf",
                "type": "application/pdf",
                "size": 1398103,
                "path": "Publication:Stritzel2022_thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/Stritzel2022_thesis-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Stritzel2022_thesis/",
        "__class": "Publication"
    },
    {
        "id": "vogel2022",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/158486",
        "title": "Prediction of Accelerated Knee Osteoarthritis Using a Convolutional Neural Network",
        "date": "2022-10-10",
        "abstract": "Osteoarthritis (OA) is a slowly degenerative joint disease, with cartilage loss as one of the most characteristic symptoms accompanied by pain and functional disability. The knee region is the most affected area. 22.9% of the worldwide population over the age of 40 were affected in 2020 by Knee Osteoarthritis (KOA). Besides normal KOA, which develops over multiple years, the accelerated form of KOA (AKOA) develops between 1 and 4 years and is accompanied by increased pain and movement restrictions as well as a higher chance of obtaining a knee replacement. The development of AKOA is not yet predictable on the basis of a single X-ray image because there is no apparent optical difference between the baseline X-ray of KOA and AKOA. Since Convolutional Neural Networks (CNN) can identify image structures that a human eye can not see, I want to realise an early diagnosis of AKOA by using a Convolutional Neural Network (CNN) as a classifier between slow- and fast-progressing KOA.For this purpose, I used the data from three different studies, including a knee X-ray, Body Mass Index (BMI), age, gender, Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores, hip symptoms, knee medication injection and Kellgren- Lawrence (KL)-grade, as input for binary classification models. I defined AKOA once with Joint Space Narrowing (JSN) > 10%/ 2 years and once with JSN > 20%/ 2 years and performed different experiments in order to find the best method to predict AKOA. I trained the numeric data only on an Extreme Gradient Boosting (XGBoost) model. Here I achieved the highest performance of an Area Under the Curve (AUC) of 0.6616 when including the Osteoarthritis Research Society International (OARSI) score of sclerosis and osteophytosis to the numeric input data (20% JSN/ 2 years). To use image data only and the combination of both, I created different CNN models, whose architecture is based on a Residual Network (ResNet) 50 model provided by Image Biopsy Lab (IBLab). The CNN model, which I trained only with image data, yielded an AUC of 56.26% (10% JSN/ 2 years). Using the image data complemented with the most important numeric features (gender, BMI, contralateral KOA, KL-grade) as input, I achieved an AUC of 68.78% (20% JSN/ 2 years). Comparable results, but obtained with other class definitions than in this work, were higher and yielded AUCs of around 0.8.These results show that it is possible to make a risk assessment about the development of AKOA using the baseline X-ray image, gender, BMI, the KL-grade and the information about contralateral KOA. Until now, radiologists are not capable of predicting fast-progressing KOA. Hence, these networks have a great potential to be used as AKOA prediction tools.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 635,
            "image_height": 223,
            "name": "vogel2022-.JPG",
            "type": "image/jpeg",
            "size": 27042,
            "path": "Publication:vogel2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            5200
        ],
        "date_end": "2022",
        "date_start": "2021",
        "diploma_examina": "2022-10-10",
        "matrikelnr": "11927170",
        "pages": "148",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Convolutional Neural Network",
            "Prediction",
            "Knee Osteoarthritis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 635,
                "image_height": 223,
                "name": "vogel2022-.JPG",
                "type": "image/jpeg",
                "size": 27042,
                "path": "Publication:vogel2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vogel2022-Master thesis.pdf",
                "type": "application/pdf",
                "size": 11910174,
                "path": "Publication:vogel2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vogel2022-poster.pdf",
                "type": "application/pdf",
                "size": 499092,
                "path": "Publication:vogel2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/vogel2022-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/vogel2022/",
        "__class": "Publication"
    },
    {
        "id": "gilmutdinov-2022-aomlbwug",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/139740",
        "title": "Assessment of Material Layers in Building Walls Using GeoRadar",
        "date": "2022-10-09",
        "abstract": "Assessing the structure of a building with non-invasive methods is an important problem. One of the possible approaches is to use GeoRadar to examine wall structures by analyzing the data obtained from the scans. However, so far, the obtained data have to be assessed manually, relying on the experience of the user in interpreting GPR radargrams. We propose a data-driven approach to evaluate the material composition of a wall from its GPR radargrams. In order to generate training data, we use gprMax to model the scanning process. Using simulation data, we use a convolutional neural network to predict the thicknesses and dielectric properties of walls per layer. We evaluate the generalization abilities of the trained model on the data collected from real buildings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 825,
            "image_height": 1335,
            "name": "gilmutdinov-2022-aomlbwug-image.png",
            "type": "image/png",
            "size": 104195,
            "path": "Publication:gilmutdinov-2022-aomlbwug",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,pages_from,event",
        "repositum_presentation_id": null,
        "authors": [
            1800,
            5197,
            5198,
            194,
            193
        ],
        "doi": "10.3390/rs14195038",
        "event": "Radar Techniques for Structures Characterization and Monitoring",
        "issn": "2072-4292",
        "journal": "Remote Sensing",
        "number": "19",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "5038",
        "publisher": "MDPI",
        "volume": "14",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "deep learning",
            "ground-penetrating radar",
            "non-destructive-evaluation"
        ],
        "weblinks": [
            {
                "href": "https://www.mdpi.com/2072-4292/14/19/5038",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 825,
                "image_height": 1335,
                "name": "gilmutdinov-2022-aomlbwug-image.png",
                "type": "image/png",
                "size": 104195,
                "path": "Publication:gilmutdinov-2022-aomlbwug",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gilmutdinov-2022-aomlbwug-paper.pdf",
                "type": "application/pdf",
                "size": 739481,
                "path": "Publication:gilmutdinov-2022-aomlbwug",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/gilmutdinov-2022-aomlbwug-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4307"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gilmutdinov-2022-aomlbwug/",
        "__class": "Publication"
    },
    {
        "id": "fernandez-2022-ergoexplorer",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/175616",
        "title": "ErgoExplorer: Interactive Ergonomic Risk Assessment from Video Collections",
        "date": "2022-10-05",
        "abstract": "Ergonomic risk assessment is now, due to an increased awareness, carried out more often than in the past. The\nconventional risk assessment evaluation, based on expert-assisted observation of the workplaces and manually filling in score tables, is\nstill predominant. Data analysis is usually done with a focus on critical moments, although without the support of contextual information\nand changes over time. In this paper we introduce ErgoExplorer, a system for the interactive visual analysis of risk assessment data.\nIn contrast to the current practice, we focus on data that span across multiple actions and multiple workers while keeping all contextual\ninformation. Data is automatically extracted from video streams. Based on carefully investigated analysis tasks, we introduce new\nviews and their corresponding interactions. These views also incorporate domain-specific score tables to guarantee an easy adoption\nby domain experts. All views are integrated into ErgoExplorer, which relies on coordinated multiple views to facilitate analysis through\ninteraction. ErgoExplorer makes it possible for the first time to examine complex relationships between risk assessments of individual\nbody parts over long sessions that span multiple operations. The newly introduced approach supports analysis and exploration at\nseveral levels of detail, ranging from a general overview, down to inspecting individual frames in the video stream, if necessary. We\nillustrate the usefulness of the newly proposed approach applying it to several datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 644,
            "image_height": 355,
            "name": "fernandez-2022-ergoexplorer-Image.JPG",
            "type": "image/jpeg",
            "size": 53400,
            "path": "Publication:fernandez-2022-ergoexplorer",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5242,
            1359,
            235,
            166,
            1122
        ],
        "doi": "10.1109/TVCG.2022.3209432",
        "first_published": "2022",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "1",
        "open_access": "yes",
        "pages": "10",
        "pages_from": "43",
        "pages_to": "52",
        "publisher": "Institute of Electrical and Electronics Engineers (IEEE)",
        "volume": "29",
        "research_areas": [],
        "keywords": [
            "Ergonomic assessment",
            "visual analysis",
            "workplace safety"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 644,
                "image_height": 355,
                "name": "fernandez-2022-ergoexplorer-Image.JPG",
                "type": "image/jpeg",
                "size": 53400,
                "path": "Publication:fernandez-2022-ergoexplorer",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Journal",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fernandez-2022-ergoexplorer-Journal.pdf",
                "type": "application/pdf",
                "size": 11062275,
                "path": "Publication:fernandez-2022-ergoexplorer",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Journal.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/fernandez-2022-ergoexplorer-Journal:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fernandez-2022-ergoexplorer/",
        "__class": "Publication"
    },
    {
        "id": "marin-2022-sigdt",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/175713",
        "title": " SIGDT: 2D Curve Reconstruction",
        "date": "2022-10-05",
        "abstract": "Determining connectivity between points and reconstructing their shape boundaries are long-standing problems in computer graphics. One possible approach to solve these problems is to use a proximity graph. We propose a new proximity graph computed by intersecting the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG) with the Delaunay triangulation (DT). We prove that the resulting graph, which we name SIGDT, contains the piece-wise linear reconstruction for a set of unstructured points in the plane for a sampling condition superseding current bounds and capturing well practical point sets' properties. As an application, we apply a dual of boundary adjustment steps from the CONNECT2D algorithm to remove the redundant edges. We show that the resulting algorithm SIG-CONNECT2D yields the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and the method offers the potential for further improvements, e.g., for surface reconstruction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 7066,
            "image_height": 3125,
            "name": "marin-2022-sigdt-Teaser.png",
            "type": "image/png",
            "size": 457323,
            "path": "Publication:marin-2022-sigdt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "issn",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            948,
            193
        ],
        "booktitle": "Pacific Graphics 2022",
        "cfp": {
            "name": "Pacific Graphics 2022 - Call for papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "30666",
            "orig_name": "Pacific Graphics 2022 - Call for papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-10-05",
        "date_to": "2022-10-08",
        "doi": "10.1111/cgf.14654",
        "event": "30th Pacific Conference on Computer Graphics and Applications, Pacific Graphics 2022",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1848
        ],
        "location": "Kyoto, Japan",
        "number": "7",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "25",
        "pages_to": "36",
        "publisher": "The Eurographics Association and John Wiley & Sons Ltd.",
        "volume": "41",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Curve reconstruction",
            "Spheres-of-influence graph"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.1111/cgf14654",
                "caption": "Paper",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2022-sigdt-Paper.pdf",
                "type": "application/pdf",
                "size": 2877751,
                "path": "Publication:marin-2022-sigdt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 7066,
                "image_height": 3125,
                "name": "marin-2022-sigdt-Teaser.png",
                "type": "image/png",
                "size": 457323,
                "path": "Publication:marin-2022-sigdt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/marin-2022-sigdt-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sigdt/",
        "__class": "Publication"
    },
    {
        "id": "Rait2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Radial Search for Progressive Photon Mapping",
        "date": "2022-10-01",
        "abstract": "Global illumination is critical to realistic rendering and as such many different algorithms were developed to solve it, one of which – photon mapping – was designed to efficiently render\ncaustics and indirect lighting. It achieves this by saving photons in a data structure during the first step and then using the result by collecting photons near specific search origins. This step is very time intensive due to the sheer amount of searches performed each iteration. In this paper, we will compare the performance of two spatial data structures and parallelized search algorithms written in CUDA for the GPU by execution time and memory usage for the photon-gathering use case. The algorithms were implemented in an open-source progressive photon mapping project [11] and are using parts of S. Reinwald’s fast-KNN as a basis [9]. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 404,
            "image_height": 403,
            "name": "Rait2022-Image.JPG",
            "type": "image/jpeg",
            "size": 18947,
            "path": "Publication:Rait2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1849
        ],
        "date_end": "2022-10-01",
        "date_start": "2022-02-12",
        "matrikelnr": "11777774",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rait2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 13330544,
                "path": "Publication:Rait2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 404,
                "image_height": 403,
                "name": "Rait2022-Image.JPG",
                "type": "image/jpeg",
                "size": 18947,
                "path": "Publication:Rait2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/Rait2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Rait2022/",
        "__class": "Publication"
    },
    {
        "id": "sMolBoxes_2022",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/81180",
        "title": "sMolBoxes: Dataflow Model for Molecular Dynamics Exploration",
        "date": "2022-10",
        "abstract": "We present sMolBoxes, a dataflow representation for the exploration and analysis of long molecular dynamics (MD) simulations. When MD simulations reach millions of snapshots, a frame-by-frame observation is not feasible anymore. Thus, biochemists rely to a large extent only on quantitative analysis of geometric and physico-chemical properties. However, the usage of abstract methods to study inherently spatial data hinders the exploration and poses a considerable workload. sMolBoxes link quantitative analysis of a user-defined set of properties with interactive 3D visualizations. They enable visual explanations of molecular behaviors, which lead to an efficient discovery of biochemically significant parts of the MD simulation. sMolBoxes follow a node-based model for flexible definition, combination, and immediate evaluation of properties to be investigated. Progressive analytics enable fluid switching between multiple properties, which facilitates hypothesis generation. Each sMolBox provides quick insight to an observed property or function, available in more detail in the bigBox View. The case studies illustrate that even with relatively few sMolBoxes, it is possible to express complex analytical tasks, and their use in exploratory analysis is perceived as more efficient than traditional scripting-based methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1604,
            "image_height": 942,
            "name": "sMolBoxes_2022-teaser.png",
            "type": "image/png",
            "size": 417094,
            "path": "Publication:sMolBoxes_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5182,
            1110,
            1733,
            1498,
            5183,
            1248,
            1254
        ],
        "date_from": "2022-10",
        "date_to": "2022-10",
        "doi": "10.1109/TVCG.2022.3209411",
        "event": "IEEE VIS 2022",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            5182
        ],
        "pages": "10",
        "pages_from": "1",
        "pages_to": "10",
        "publisher": "Institute of Electrical and Electronics Engineers (IEEE)",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [
            "Molecular Dynamics",
            "structure",
            "node-based visualization",
            "progressive analytics",
            "proteins",
            "Analytical models",
            "Biological system modeling",
            "Three-dimensional displays",
            "Computational modeling",
            "Task analysis",
            "Animation"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/2209.11771",
                "caption": "arxiv",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1604,
                "image_height": 942,
                "name": "sMolBoxes_2022-teaser.png",
                "type": "image/png",
                "size": 417094,
                "path": "Publication:sMolBoxes_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/sMolBoxes_2022-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sMolBoxes_2022/",
        "__class": "Publication"
    },
    {
        "id": "jank-2022-cbf",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cardiac blood flow visualization in marker-based augmented reality for educational purposes",
        "date": "2022-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 417,
            "preview_image_height": 534,
            "name": "jank-2022-cbf-.pdf",
            "type": "application/pdf",
            "size": 4628469,
            "path": "Publication:jank-2022-cbf",
            "preview_name": "jank-2022-cbf-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 50333,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/jank-2022-cbf/jank-2022-cbf-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/jank-2022-cbf/jank-2022-cbf-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5335
        ],
        "date_end": "2022",
        "date_start": "2021",
        "matrikelnr": "01526438",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 417,
                "preview_image_height": 534,
                "name": "jank-2022-cbf-.pdf",
                "type": "application/pdf",
                "size": 4628469,
                "path": "Publication:jank-2022-cbf",
                "preview_name": "jank-2022-cbf-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 50333,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/jank-2022-cbf/jank-2022-cbf-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/jank-2022-cbf/jank-2022-cbf-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/jank-2022-cbf/",
        "__class": "Publication"
    },
    {
        "id": "eschner-blur-2022",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Molecular Motion Blur Videos for a User Study",
        "date": "2022-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1325,
            "image_height": 789,
            "name": "eschner-blur-2022-teaser.png",
            "type": "image/png",
            "size": 472805,
            "path": "Publication:eschner-blur-2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1653
        ],
        "date_end": "2022-10",
        "date_start": "2021-11",
        "matrikelnr": "01633402",
        "supervisor": [
            1110,
            935
        ],
        "research_areas": [
            "BioVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "project report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eschner-blur-2022-project report.pdf",
                "type": "application/pdf",
                "size": 3469035,
                "path": "Publication:eschner-blur-2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-project report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-project report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1325,
                "image_height": 789,
                "name": "eschner-blur-2022-teaser.png",
                "type": "image/png",
                "size": 472805,
                "path": "Publication:eschner-blur-2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/eschner-blur-2022-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eschner-blur-2022/",
        "__class": "Publication"
    },
    {
        "id": "steinkellner-2022-dll",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deep learning for lighting evaluation",
        "date": "2022-09-28",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Room lighting",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1200,
            "image_height": 800,
            "preview_image_width": 360,
            "preview_image_height": 240,
            "name": "steinkellner-2022-dll-Room lighting.png",
            "type": "image/png",
            "size": 649810,
            "path": "Publication:steinkellner-2022-dll",
            "preview_name": "steinkellner-2022-dll-Room lighting:preview.png",
            "preview_type": "image/png",
            "preview_size": 91386,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5255
        ],
        "date_start": "2022-09-28",
        "matrikelnr": "e11705362",
        "supervisor": [
            1949,
            193
        ],
        "research_areas": [
            "Modeling",
            "Perception"
        ],
        "keywords": [
            "lighting",
            "deep learning"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/projekte/Deep-Learning-Lighting-Evaluation",
                "caption": "Topic",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Room lighting",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 800,
                "preview_image_width": 360,
                "preview_image_height": 240,
                "name": "steinkellner-2022-dll-Room lighting.png",
                "type": "image/png",
                "size": 649810,
                "path": "Publication:steinkellner-2022-dll",
                "preview_name": "steinkellner-2022-dll-Room lighting:preview.png",
                "preview_type": "image/png",
                "preview_size": 91386,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/steinkellner-2022-dll-Room lighting:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinkellner-2022-dll/",
        "__class": "Publication"
    },
    {
        "id": "stritzel2022",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data",
        "date": "2022-09-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 479,
            "image_height": 175,
            "name": "stritzel2022-.JPG",
            "type": "image/jpeg",
            "size": 21887,
            "path": "Publication:stritzel2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5188,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022).",
        "cfp": {
            "name": "Full, Short & Survey Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "195197",
            "orig_name": "Full, Short & Survey Papers.pdf",
            "ext": "pdf"
        },
        "event": "EG VCBM 2022",
        "lecturer": [
            1410
        ],
        "pages_from": "129",
        "pages_to": "133",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vcbm20221196",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 479,
                "image_height": 175,
                "name": "stritzel2022-.JPG",
                "type": "image/jpeg",
                "size": 21887,
                "path": "Publication:stritzel2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 409,
                "preview_image_height": 458,
                "name": "stritzel2022-paper.pdf",
                "type": "application/pdf",
                "size": 1904424,
                "path": "Publication:stritzel2022",
                "preview_name": "stritzel2022-paper:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 67566,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementarty images ",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "stritzel2022-supplementarty images .pdf",
                "type": "application/pdf",
                "size": 364096,
                "path": "Publication:stritzel2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-supplementarty images .pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/stritzel2022-supplementarty images :thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/stritzel2022/",
        "__class": "Publication"
    },
    {
        "id": "borondy2022",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy.",
        "date": "2022-09-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 384,
            "image_height": 494,
            "name": "borondy2022-.JPG",
            "type": "image/jpeg",
            "size": 34439,
            "path": "Publication:borondy2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5187,
            1733,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022)",
        "cfp": {
            "name": "Full, Short & Survey Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "195197",
            "orig_name": "Full, Short & Survey Papers.pdf",
            "ext": "pdf"
        },
        "event": "EG VCBM 2022",
        "lecturer": [
            1733
        ],
        "pages_from": "65",
        "pages_to": "69",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vcbm20221188",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 384,
                "image_height": 494,
                "name": "borondy2022-.JPG",
                "type": "image/jpeg",
                "size": 34439,
                "path": "Publication:borondy2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 409,
                "preview_image_height": 458,
                "name": "borondy2022-paper.pdf",
                "type": "application/pdf",
                "size": 5235751,
                "path": "Publication:borondy2022",
                "preview_name": "borondy2022-paper:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 67566,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/borondy2022-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/borondy2022/",
        "__class": "Publication"
    },
    {
        "id": "magg2022",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/177098",
        "title": "Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation",
        "date": "2022-09-21",
        "abstract": "Accurate delineations of anatomically relevant structures are required for cancer treatment planning. Despite its accuracy, manual labeling is time-consuming and tedious-hence, the potential of automatic approaches, such as deep learning models, is being investigated. A promising trend in deep learning tumor segmentation is cross-modal domain adaptation, where knowledge learned on one source distribution (e.g., one modality) is transferred to another distribution. Yet, artificial intelligence (AI) engineers developing such models, need to thoroughly assess the robustness of their approaches, which demands a deep understanding of the model(s) behavior. In this paper, we propose a web-based visual analytics application that supports the visual assessment of the predictive performance of deep learning-based models built for cross-modal brain tumor segmentation. Our application supports the multi-level comparison of multiple models drilling from entire cohorts of patients down to individual slices, facilitates the analysis of the relationship between image-derived features and model performance, and enables the comparative exploration of the predictive outcomes of the models. All this is realized in an interactive interface with multiple linked views. We present three use cases, analyzing differences in deep learning segmentation approaches, the influence of the tumor size, and the relationship of other data set characteristics to the performance. From these scenarios, we discovered that the tumor size, i.e., both volumetric in 3D data and pixel count in 2D data, highly affects the model performance, as samples with small tumors often yield poorer results. Our approach is able to reveal the best algorithms and their optimal configurations to support AI engineers in obtaining more insights for the development of their segmentation models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 628,
            "image_height": 188,
            "name": "magg2022-.JPG",
            "type": "image/jpeg",
            "size": 39077,
            "path": "Publication:magg2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1860,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM 2022)",
        "date_from": "2022-09-22",
        "date_to": "2022-09-23",
        "doi": "10.2312/vcbm.20221193",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022)",
        "isbn": "978-3-03868-177-9",
        "lecturer": [
            1860
        ],
        "location": "Wien",
        "open_access": "yes",
        "pages": "5",
        "pages_from": "111",
        "pages_to": "115",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "Visual Analytics",
            "Life and medical sciences",
            "Applied computing"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vcbm20221193",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 628,
                "image_height": 188,
                "name": "magg2022-.JPG",
                "type": "image/jpeg",
                "size": 39077,
                "path": "Publication:magg2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 190,
                "preview_image_height": 173,
                "name": "magg2022-paper.pdf",
                "type": "application/pdf",
                "size": 1438001,
                "path": "Publication:magg2022",
                "preview_name": "magg2022-paper:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 41052,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementarty video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "magg2022-supplementarty video.mp4",
                "type": "video/mp4",
                "size": 24107903,
                "path": "Publication:magg2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/magg2022-supplementarty video:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/magg2022/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2022-iva",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153771",
        "title": "Interactive Visual Analytics and Modelitics",
        "date": "2022-09-19",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2022-09-19",
        "date_to": "2022-09-19",
        "event": "Interactive Visual Analytics and Modelitics",
        "lecturer": [
            166
        ],
        "location": "Brno",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analytics and Modelitics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-iva/",
        "__class": "Publication"
    },
    {
        "id": "Komon2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distributed Surface Reconstruction",
        "date": "2022-09-15",
        "abstract": "As the accessibility of high-quality 3D scans increases, processing the scanned data becomes more challenging. 3D scanners obtain very large, unstructured sets of points,\nso called point clouds. To be able to use the data in a meaningful way it is necessary to reconstruct the surface of the scanned object from the point cloud, resulting in a 3D\nmodel. This is called the problem of 3D surface  reconstruction. Processing very large point clouds (in a reasonable time) is necessary in order to keep up with ever increasing scanning technology.\nIn this thesis, we construct, implement and evaluate a distributed surface reconstruction algorithm called DistributedBallFilter. It is a distributed-memory parallel version of the recently developed BallFilter algorithm [Ohr22]. Firstly, the input point cloud is subdivided into chunks called tiles using a 3D grid. To ensure the correctness of the results, tiles are slightly overlapping on their borders. After splitting the input, each tile can be processed independently from each other. The tiles are assigned and distributed to a number of p processes. The assignment of tiles to processes is calculated using longest-processing-time-first list scheduling. Then all processes reconstruct the 3D surface of all their assigned tiles in parallel. After all tiles are processed, the result is merged back together into a single 3D model, containing the reconstructed surface of the entire input point cloud. The asymptotic run time complexity is O(n log n) in the worst case (same as BallFilter) and O(n + n log n p ) in the best case, depending on the distribution\nof points within the input data.\nFurthermore, we implemented the algorithm in C++. The input splitting is run on a GPU using CUDA and discussed thoroughly in its dedicated paper [Bru22]. For each tile a single file is output, which is communicated to each process via a distributed file system. The MPI standard is used for sending all local results to a single process, which is also responsible for merging and outputting the final 3D model.\nFinally we executed the algorithm on the VSC3+ cluster, a high-performance cluster based in Vienna. It was run against several test data sets. We visualize the results and analysed the behavior of the running time when scaling the number of processes as well as the input size. In our tests, DistributedBallFilter managed to be up to around\nfive times faster than BallFilter depending on the number of nodes used and the input size. The largest observed speedup was by a factor of 5.89 compared to BallFilter.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 400,
            "image_height": 231,
            "name": "Komon2022-Image.JPG",
            "type": "image/jpeg",
            "size": 31238,
            "path": "Publication:Komon2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "ALL",
        "repositum_presentation_id": null,
        "authors": [
            1859
        ],
        "date_end": "2022-10-15",
        "date_start": "2022-01-12",
        "lecturer": [
            1848
        ],
        "matrikelnr": "11808210",
        "pages": "2",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Komon2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 9432212,
                "path": "Publication:Komon2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 400,
                "image_height": 231,
                "name": "Komon2022-Image.JPG",
                "type": "image/jpeg",
                "size": 31238,
                "path": "Publication:Komon2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/Komon2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Komon2022/",
        "__class": "Publication"
    },
    {
        "id": "elagrod_ahmed-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Immersive Redesign",
        "date": "2022-09-05",
        "abstract": "With scanning technologies and the processing power of computers increasing it is getting easier\nto scan the surrounding area and upload a 3D model of it. Nowadays mobile phones and drones\nare capable of doing that. However, the results most likely are not as good as dedicated scanners.\nTo offer people an option to explore their scanned objects my colleague Manuel Keilman and\nI wrote a software with which users can upload multiple point clouds. Those point clouds can\nthen be modified by adding, deleting, or moving parts of it. Our primary target is point clouds\nof street scenes. We selected an existing classification algorithm called GraND-Net [13] to\nidentify objects of the scene. Since the classification algorithm does not cluster the classes a\nseparate algorithm for that was needed. That is why we use DBScan [15] in order to distinguish\ndifferent objects of the same class. Both steps are done before starting the application since they\nonly have to be done once. The benefit of grouping points with similar features is that users\ndo not have to manually select everything which improves the usability of our software. After\nclassifying as well as clustering users can upload their point clouds and then select objects in\norder to modify them. Mistakes tend to happen which is why our software also offers users the\noption to manually classify whatever they want. All of that should make it easier for users to\nanalyze and modify their point clouds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 556,
            "image_height": 213,
            "name": "elagrod_ahmed-baa-image.png",
            "type": "image/png",
            "size": 225625,
            "path": "Publication:elagrod_ahmed-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5287
        ],
        "date_end": "2022-09-05",
        "date_start": "2022-01-15",
        "matrikelnr": "11811340",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point clouds",
            "object detection",
            "editing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 556,
                "image_height": 213,
                "name": "elagrod_ahmed-baa-image.png",
                "type": "image/png",
                "size": 225625,
                "path": "Publication:elagrod_ahmed-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "elagrod_ahmed-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 18887807,
                "path": "Publication:elagrod_ahmed-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/elagrod_ahmed-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/elagrod_ahmed-baa/",
        "__class": "Publication"
    },
    {
        "id": "Vucenovic_2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Differential Rendering for Computed Tomography Reconstruction",
        "date": "2022-09-04",
        "abstract": "The recently achieved differentiability of path-tracing algorithms, which are the standard for generating photo-realistic images, opens up optimization possibilities for the 3Dreconstruction of an object using images acquired by X-ray scans. The reconstruction is accomplished by ”inverting the rendering pipeline”, which in practice means obtaining 3D\nscene parameters, such as volumetric data, from 2D images. The images act as a reference in our algorithm, which is optimizing the scene parameters until the image acquired\nby our rendered scene minimally differs from the reference image. In this publication, we represent a proof-of-concept and early experiments for differential rendering for CT\nreconstruction. Our implementation is able to successfully reconstruct the geometry and volume of specimens, using only images acquired from a software-simulated X-ray scan. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 518,
            "image_height": 516,
            "name": "Vucenovic_2022-Image.JPG",
            "type": "image/jpeg",
            "size": 47156,
            "path": "Publication:Vucenovic_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5181
        ],
        "date_end": "2022-09-04",
        "date_start": "2022-02-04",
        "matrikelnr": "01635282",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Vucenovic_2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 4027403,
                "path": "Publication:Vucenovic_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 518,
                "image_height": 516,
                "name": "Vucenovic_2022-Image.JPG",
                "type": "image/jpeg",
                "size": 47156,
                "path": "Publication:Vucenovic_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/Vucenovic_2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vucenovic_2022/",
        "__class": "Publication"
    },
    {
        "id": "landauer-2022-kido",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kido: a hardware-accelerated lighting planning software",
        "date": "2022-09",
        "abstract": "The human visual system allows us to perceive our environment by processing incoming light. This visual system enables us to make decisions based on the information or objects we see. Many tasks in our daily life require us to see our surroundings. Depending on the task, a well-illuminated environment will be beneficial to accomplish the given task. To properly design lighting environments, computer applications are used to simulate the distribution of light and test if the results meet the predefined requirements. The current workflow of state-of-the-art applications is sequential, where the user first plans a scene and then triggers the lighting simulation. The problem with this approach is that the user will have no insight into the resulting lighting conditions until the simulation has finished. Planning a lighting environment is an iterative process, where the user iteratively changes the scene till the plan meets the requirements. Reducing the time per iteration will also reduce the overall planning time and increase the planner’s productivity. This thesis presents a novel workflow by providing the user with intermediate results of the computed lighting conditions in the planning phase. We believe that this approach will help the user to plan lighting environments faster and more intuitively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Preview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 742,
            "image_height": 659,
            "name": "landauer-2022-kido-Preview.jpg",
            "type": "image/jpeg",
            "size": 104565,
            "path": "Publication:landauer-2022-kido",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1888
        ],
        "date_end": "2022-09-30",
        "date_start": "2021-08-05",
        "matrikelnr": "e11778912",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 742,
                "image_height": 659,
                "name": "landauer-2022-kido-Preview.jpg",
                "type": "image/jpeg",
                "size": 104565,
                "path": "Publication:landauer-2022-kido",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-Preview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "landauer-2022-kido-thesis.pdf",
                "type": "application/pdf",
                "size": 4566846,
                "path": "Publication:landauer-2022-kido",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/landauer-2022-kido-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/landauer-2022-kido/",
        "__class": "Publication"
    },
    {
        "id": "wimmer-2022-acd",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/101881",
        "title": "Advanced Computational Design – digitale Methoden für die frühe Entwurfsphase",
        "date": "2022-08-26",
        "abstract": "Advanced Computational Design. The SFB Advanced Computational Design addresses the research question of how to advance design tools and processes through multi- and interdisciplinary basic research. We will develop advanced computational design tools in order to improve design quality and efficiency of processes in architecture and construction. The proposed research is structured in three areas: design methodology (A1), visual and haptic design interaction (A2) and form finding (A3). A1 focuses on the conceptual basis for new digital methods of design based on machine learning. A1 also acts as a platform for integrating and evaluating the computational tools and methods developed in A2 and A3. A2 investigates real-time global-illumination and optimization algorithms for lighting design, as well as a new method for large-scale haptic interactions in virtual reality. In A3, form finding will be explored regarding geometric, mechanical and material constraints, in particular: paneling of complex shapes by patches of certain surface classes while optimizing the number of molds; algorithms for finding new transformable quad-surfaces; mechanical models for an efficient simulation of bio-composite material systems. Furthermore, new ways of form finding will be explored through physical experiments, which will allow for reconsidering model assumptions and constraints, validating the developed algorithmic approaches, and finding new ones.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "ACD logo",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 699,
            "image_height": 762,
            "name": "wimmer-2022-acd-ACD logo.png",
            "type": "image/png",
            "size": 203297,
            "path": "Publication:wimmer-2022-acd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            1799,
            240,
            1063,
            5202,
            5203,
            5204,
            378,
            5205,
            5206,
            5207,
            5208,
            5209,
            5210,
            1946,
            1559
        ],
        "doi": "10.1002/bate.202200057",
        "issn": "1437-0999",
        "journal": "Bautechnik",
        "number": "10",
        "open_access": "no",
        "pages": "11",
        "pages_from": "720",
        "pages_to": "730",
        "publisher": "ERNST & SOHN",
        "volume": "99",
        "research_areas": [],
        "keywords": [
            "Building materials",
            "CAD – IT/Automatical/CAD",
            "design interaction",
            "design methodology",
            "Digital design/Optimization",
            "digitalization",
            "form finding",
            "simulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "ACD logo",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 699,
                "image_height": 762,
                "name": "wimmer-2022-acd-ACD logo.png",
                "type": "image/png",
                "size": 203297,
                "path": "Publication:wimmer-2022-acd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-ACD logo:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "First Submitted Version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "wimmer-2022-acd-First Submitted Version.pdf",
                "type": "application/pdf",
                "size": 882460,
                "path": "Publication:wimmer-2022-acd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/wimmer-2022-acd-First Submitted Version:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wimmer-2022-acd/",
        "__class": "Publication"
    },
    {
        "id": "martorell2022",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/150213",
        "title": "Breast cancer patient characterisation and visualisation using deep learning and fisher information networks",
        "date": "2022-08-17",
        "abstract": "Breast cancer is the most commonly diagnosed female malignancy globally, with better survival rates if diagnosed early. Mammography is the gold standard in screening programmes for breast cancer, but despite technological advances, high error rates are still reported. Machine learning techniques, and in particular deep learning (DL), have been successfully used for breast cancer detection and classification. However, the added complexity that makes DL models so successful reduces their ability to explain which features are relevant to the model, or whether the model is biased. The main aim of this study is to propose a novel visualisation to help characterise breast cancer patients using Fisher Information Networks on features extracted from mammograms using a DL model. In the proposed visualisation, patients are mapped out according to their similarities and can be used to study new patients as a 'patient-like-me' approach. When applied to the CBIS-DDSM dataset, it was shown that it is a competitive methodology that can (i) facilitate the analysis and decision-making process in breast cancer diagnosis with the assistance of the FIN visualisations and 'patient-like-me' analysis, and (ii) help improve diagnostic accuracy and reduce overdiagnosis by identifying the most likely diagnosis based on clinical similarities with neighbouring patients.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1283,
            "image_height": 829,
            "name": "martorell2022-.JPG",
            "type": "image/jpeg",
            "size": 126972,
            "path": "Publication:martorell2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5189,
            5190,
            5191,
            1410,
            5192,
            5193,
            5194,
            5195,
            5196
        ],
        "doi": "10.1038/s41598-022-17894-6",
        "issn": "2045-2322",
        "journal": "Scientific Reports",
        "open_access": "yes",
        "pages": "14",
        "publisher": "Nature Publishing",
        "volume": "12",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "Breast",
            "Female",
            "Humans",
            "Information Services",
            "Mammography",
            "Breast Neoplasms",
            "Deep Learning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1283,
                "image_height": 829,
                "name": "martorell2022-.JPG",
                "type": "image/jpeg",
                "size": 126972,
                "path": "Publication:martorell2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/martorell2022-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/martorell2022/",
        "__class": "Publication"
    },
    {
        "id": "musleh-2022-mam5",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/142512",
        "title": "Visual analysis of blow molding machine multivariate time series data",
        "date": "2022-07-11",
        "abstract": "The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. The tool is an interactive dashboard with multiple coordinated views supporting the exploration from both local and global perspectives. In summary, we investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners’ requirements and follows the best practices within the field. We also conducted a case study with a domain expert to validate the potential application of the tool in the real-life context. Finally, we assessed the usability and usefulness of the tool with a two-layer summative evaluation that showed encouraging results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Graphical Abstract",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 685,
            "image_height": 462,
            "name": "musleh-2022-mam5-Graphical Abstract.webp",
            "type": "image/webp",
            "size": 41652,
            "path": "Publication:musleh-2022-mam5",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract.webp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract:thumb{{size}}.png"
        },
        "sync_repositum_override": "abstract,date",
        "repositum_presentation_id": null,
        "authors": [
            1867,
            5213,
            5214
        ],
        "doi": "10.1007/s12650-022-00857-4",
        "issn": "1875-8975",
        "journal": "Journal of Visualization",
        "open_access": "yes",
        "pages": "14",
        "pages_from": "1329",
        "pages_to": "1342",
        "publisher": "Springer",
        "volume": "25",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Time series data",
            "Unsupervised machine learning",
            "Visualization"
        ],
        "weblinks": [
            {
                "href": "https://link.springer.com/article/10.1007/s12650-022-00857-4",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Graphical Abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 685,
                "image_height": 462,
                "name": "musleh-2022-mam5-Graphical Abstract.webp",
                "type": "image/webp",
                "size": 41652,
                "path": "Publication:musleh-2022-mam5",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract.webp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-Graphical Abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musleh-2022-mam5-paper.pdf",
                "type": "application/pdf",
                "size": 1034180,
                "path": "Publication:musleh-2022-mam5",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/musleh-2022-mam5-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/musleh-2022-mam5/",
        "__class": "Publication"
    },
    {
        "id": "Keilman2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Immersive Redesign",
        "date": "2022-07-01",
        "abstract": "In this thesis, my colleague Ahmed El Agrod and I implemented software that allows point clouds to be edited. By moving, deleting, saving, and inserting selected objects, the point cloud should be able to be modified. This bachelor thesis mainly describes how newly added objects are automatically placed on the ground being recognized by an algorithm. Furthermore, it is described how an image inpainting algorithm was implemented to fill incomplete flat regions of point clouds with new points and associated matching colors. The ground detection was performed using the RANSAC algorithm, which computes a plane representing the ground for the scene. For the image inpainting algorithm, three-dimensional point cloud points had to be mapped to a 2D image, then use an image inpainting algorithm to fill in the missing pixels, and\nfinally, map the 2D pixels of the inpainted image back to 3D points in the scene. An evaluation was also conducted to test both the automatic ground detection and the image inpainting\nalgorithm regarding runtime and visual quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 687,
            "name": "Keilman2022-Image.JPG",
            "type": "image/jpeg",
            "size": 57274,
            "path": "Publication:Keilman2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1938
        ],
        "date_end": "2022-07-01",
        "date_start": "2021-10-10",
        "matrikelnr": "11824531",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Keilman2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 1241297,
                "path": "Publication:Keilman2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 687,
                "name": "Keilman2022-Image.JPG",
                "type": "image/jpeg",
                "size": 57274,
                "path": "Publication:Keilman2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/Keilman2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Keilman2022/",
        "__class": "Publication"
    },
    {
        "id": "kristmann-2022-occ",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occluder Frequency Analysis for Evaluating the Level of Visibility of Partly Occluded Objects",
        "date": "2022-07",
        "abstract": "To increase rendering efficiency of large and complex scenes, occlusion culling algorithms detect objects which are completely hidden by others and therefore do not need to be rendered. However, these methods often follow an all-or-nothing principle, either culling the geometry entirely or drawing it at full detail. This approach disregards an important subcategory of the visibility problem: detecting objects that are hardly visible because they are partly occluded and which can therefore be rendered at a lower level of detail without generating noticeable artifacts. In this thesis we assess the level of visibility of such objects by computing a hierarchical occlusion map and analysing its structure based on the frequencies of the occluders. This analysis results in a parameter that controls the level of detail (LOD) in which the geometry is rendered. The algorithm performs well even in scenes with sparse occlusion, surpassing the standard hierarchical occlusion map algorithm, with still a lot of potential for even further improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1368,
            "image_height": 1280,
            "name": "kristmann-2022-occ-teaser.png",
            "type": "image/png",
            "size": 252502,
            "path": "Publication:kristmann-2022-occ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1935
        ],
        "date_end": "2022-07-15",
        "date_start": "2022-01-01",
        "matrikelnr": "01518693",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "rendering",
            "occlusion culling",
            "real-time"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1368,
                "image_height": 1280,
                "name": "kristmann-2022-occ-teaser.png",
                "type": "image/png",
                "size": 252502,
                "path": "Publication:kristmann-2022-occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kristmann-2022-occ-thesis.pdf",
                "type": "application/pdf",
                "size": 4728973,
                "path": "Publication:kristmann-2022-occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/kristmann-2022-occ-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kristmann-2022-occ/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2022-PCC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/193255",
        "title": "Software Rasterization of 2 Billion Points in Real Time",
        "date": "2022-07",
        "abstract": "We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of the art are achieved by batching points in a way that a number of batch-level optimizations can be computed before rasterizing the points within the same rendering pass. These optimizations include frustum culling, level-of-detail rendering, and choosing the appropriate coordinate precision for a given batch of points directly within a compute workgroup. Adaptive coordinate precision, in conjunction with visibility buffers, reduces the number of loaded bytes for the majority of points down to 4, thus making our approach several times faster than the bandwidth-limited state of the art. Furthermore, support for LOD rendering makes our software-rasterization approach suitable for rendering arbitrarily large point clouds, and to meet the increased performance demands of virtual reality rendering.  ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 516,
            "image_height": 368,
            "name": "SCHUETZ-2022-PCC-teaser.png",
            "type": "image/png",
            "size": 291356,
            "path": "Publication:SCHUETZ-2022-PCC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1650,
            193
        ],
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1439654",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-07-11",
        "date_to": "2022-07-14",
        "doi": "10.1145/3543863",
        "event": "High Performance Graphics 2022",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            1116
        ],
        "location": "Vancouver",
        "number": "3",
        "open_access": "yes",
        "pages": "17",
        "pages_from": "1",
        "pages_to": "17",
        "publisher": "Association for Computing Machinery (ACM)",
        "volume": "5",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "point-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2022-PCC-paper.pdf",
                "type": "application/pdf",
                "size": 7306416,
                "path": "Publication:SCHUETZ-2022-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 516,
                "image_height": 368,
                "name": "SCHUETZ-2022-PCC-teaser.png",
                "type": "image/png",
                "size": 291356,
                "path": "Publication:SCHUETZ-2022-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/SCHUETZ-2022-PCC-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4386"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/SCHUETZ-2022-PCC/",
        "__class": "Publication"
    },
    {
        "id": "fiedler-2022-vlk",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improvements and Additional Features for a Modern C++/Vulkan Rendering Framework",
        "date": "2022-07",
        "abstract": "Literature review of modern C++, Review of cubemap implementations, Implementation and documentation of cubemap support and cubemap demo in Auto-Vk-Toolkit, Created a primer on coordinate systems in 3D APIs incl. recommended implementation of cubemap coordinate transformations, Created a draft on serialization/caching in Auto-Vk-Toolkit, Literature review of object-oriented vs. data-oriented programming, Made fixes for most compiler warnings in Auto-Vk and Auto-Vk-Toolkit, Literature review of best practices and possible performance improvements for precompiled headers in Visual Studio, Created a new issue addressing precompiled header improvements, Literature review of C++ modules, Created a new issue addressing transition from traditional header files to C++ modules, incl. basic example",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 400,
            "image_height": 477,
            "name": "fiedler-2022-vlk-.JPG",
            "type": "image/jpeg",
            "size": 26035,
            "path": "Publication:fiedler-2022-vlk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            822
        ],
        "date_end": "2022-07",
        "date_start": "2020-10",
        "matrikelnr": "00155490",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Real-Time Rendering",
            "Vulkan",
            "C++",
            "Auto-Vk",
            "Auto-Vk-Toolkit"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk GitHub Repository",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit GitHub Repository",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit/issues/95",
                "caption": "Issue #95: Transition from precompiled header files to C++ modules",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 400,
                "image_height": 477,
                "name": "fiedler-2022-vlk-.JPG",
                "type": "image/jpeg",
                "size": 26035,
                "path": "Publication:fiedler-2022-vlk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-:thumb{{size}}.png"
            },
            {
                "description": "Use of serialization for resource caching in 3D framework",
                "filetitle": "Draft on Serialization Caching",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fiedler-2022-vlk-Draft on Serialization Caching.pdf",
                "type": "application/pdf",
                "size": 138408,
                "path": "Publication:fiedler-2022-vlk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Draft on Serialization Caching.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Draft on Serialization Caching:thumb{{size}}.png"
            },
            {
                "description": "Primer on coordinate systems in 3D APIs incl. recommended implementation of cubemap coordinate transformations.",
                "filetitle": "Primer on Coordinate Systems",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fiedler-2022-vlk-Primer on Coordinate Systems.pdf",
                "type": "application/pdf",
                "size": 84206,
                "path": "Publication:fiedler-2022-vlk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Primer on Coordinate Systems.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/fiedler-2022-vlk-Primer on Coordinate Systems:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/fiedler-2022-vlk/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2022-iva-1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153769",
        "title": "Interactive Visual Analytics and Modelitics",
        "date": "2022-06-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2022-06-30",
        "date_to": "2022-06-30",
        "event": "Interactive Visual Analytics and Modelitics",
        "lecturer": [
            166
        ],
        "location": "Hangzhou",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analytics and Modelitics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-iva-1/",
        "__class": "Publication"
    },
    {
        "id": "Leutschacher_2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of the Prediction of ATP-Matches",
        "date": "2022-06-22",
        "abstract": "This Paper is centered around the topic of predicting the winner of a Tennis-Match on the ATP-Tour. Firstly there is a short introduction about the relevance and research of Machine Learning. At first the topic will be discussed broadly, then more and more narrowly to match the goal of the thesis. Next a research for important literature will be carried out, to present the state of the art in the field of Machine Learning based predictions, in science and on the market. Prediction algorithms will be discussed, with an emphasis on outcome prediction in different sports. As an important and high revenue usecase of prediction, the methods of betting companies and bookmakers also get a chapter to be discussed. Same applies to the visualization of data in conjunction to\nMachine Learning, related Frameworks and Libraries and lastly also future challenges of applying Machine Learning\nIn the practical part of the thesis, an application will be talked about, that compares the performance of different neural Networks that try to predict the winner of a Tennis-\nMatch. To accomplish that, at first a dataset with over 200.000 entries and more than 200 variables was split into four chunks to be the input for one neural Network each.\nThose neural Networks were made and trained in Tensorflow and their accuracy was tested via picking three players and trying to predict their matches. The results were then plotted into a Scatterplot. With this methodology it is possible to get information about what variables, that the public has access to before the match starts, are how important for the outcome of a match. Furthermore it would be feasible to find out,\nwhat set of variables is best suited to make predictions about the winner and also if there are differences in the predictions of the three players. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 888,
            "image_height": 295,
            "name": "Leutschacher_2022-Image.JPG",
            "type": "image/jpeg",
            "size": 57001,
            "path": "Publication:Leutschacher_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1936
        ],
        "date_end": "2022-06-22",
        "date_start": "2021-10-01",
        "matrikelnr": "11822449",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Leutschacher_2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 1851334,
                "path": "Publication:Leutschacher_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 888,
                "image_height": 295,
                "name": "Leutschacher_2022-Image.JPG",
                "type": "image/jpeg",
                "size": 57001,
                "path": "Publication:Leutschacher_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/Leutschacher_2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Leutschacher_2022/",
        "__class": "Publication"
    },
    {
        "id": "Troidl_2022",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/192525",
        "title": "Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures",
        "date": "2022-06-15",
        "abstract": "High-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell sub-structures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. In-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and distances, and their spatial correlations. We have designed Barrio as a configurable framework that scientists can adjust to their preferred workflow, visualizations, and supported user interactions for their specific tasks and domain questions. Furthermore, Barrio provides a scalable comparative visualization approach for spatial neighborhoods that automatically adjusts visualizations based on the number of structures to be compared. Barrio supports small multiples of spatial 3D views as well as abstract quantitative views, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. We present an in-depth case study for mitochondria analysis in neuronal tissue and demonstrate the usefulness of Barrio in a qualitative user study with neuroscientists.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1547,
            "image_height": 789,
            "name": "Troidl_2022-Image.png",
            "type": "image/png",
            "size": 435444,
            "path": "Publication:Troidl_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1659,
            1932,
            166,
            1933,
            226,
            818
        ],
        "cfp": {
            "name": "Full Papers – EuroVis 2022.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "560552",
            "orig_name": "Full Papers – EuroVis 2022.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-11-11",
        "date_to": "2022-06-15",
        "event": "Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2022",
        "first_published": "2022-06-15",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "open_access": "yes",
        "pages": "12",
        "publisher": "WILEY",
        "volume": "41",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Neuroscience (miscellaneous)",
            "Computer Graphics",
            "vizualitation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1547,
                "image_height": 789,
                "name": "Troidl_2022-Image.png",
                "type": "image/png",
                "size": 435444,
                "path": "Publication:Troidl_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Troidl_2022-Paper.pdf",
                "type": "application/pdf",
                "size": 5159703,
                "path": "Publication:Troidl_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/Troidl_2022-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Troidl_2022/",
        "__class": "Publication"
    },
    {
        "id": "Ganglberger-2022-cg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/152311",
        "title": "Spatial-Data-Driven Layouting for Brain Network Visualization",
        "date": "2022-06",
        "abstract": "Recent advances in neuro-imaging enable scientists to create brain network data that can lead to novel insights into neurocircuitry, and a better understanding of the brain’s organization. These networks inherently involve a spatial component, depicting which brain regions are structurally, functionally or genetically related. Their visualization in 3D suffers from occlusion and clutter, especially with increasing number of nodes and connections, while 2D representations such as connectograms, connectivity matrices, and node-link diagrams neglect the spatio-anatomical context. Approaches to arrange 2D-graphs manually are tedious, species-dependent, and require the knowledge of domain experts.\r\nIn this paper, we present a spatial-data-driven approach for layouting 3D brain networks in 2D node-link diagrams, while maintaining their spatial organization. The produced graphs do not need manual positioning of nodes, are consistent (even for sub-graphs), and provide a perspective-dependent arrangement for orientation. Furthermore, we provide a visual design for highlighting anatomical context, including the shape of the brain, and the size of brain regions. We present in several case-studies the applicability of our approach for different neuroscience-relevant species, including the mouse, human, and Drosophila larvae. In a user study conducted with several domain experts, we demonstrate its relevance and validity, as well as its potential for neuroscientific publications, presentations, and education.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 248,
            "image_height": 192,
            "name": "Ganglberger-2022-cg-image.png",
            "type": "image/png",
            "size": 52057,
            "path": "Publication:Ganglberger-2022-cg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1747,
            1929,
            1464,
            1358,
            1930,
            1931,
            231
        ],
        "doi": "10.1016/j.cag.2022.04.014",
        "issn": "1873-7684",
        "journal": "Computers & Graphics",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "12",
        "pages_to": "24",
        "publisher": "Elsevier",
        "volume": "105",
        "research_areas": [],
        "keywords": [
            "networks",
            "neuroscience",
            "graph layouting",
            "brain parcellation",
            "anatomical layouts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 248,
                "image_height": 192,
                "name": "Ganglberger-2022-cg-image.png",
                "type": "image/png",
                "size": 52057,
                "path": "Publication:Ganglberger-2022-cg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ganglberger-2022-cg-paper.pdf",
                "type": "application/pdf",
                "size": 22337410,
                "path": "Publication:Ganglberger-2022-cg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ganglberger-2022-cg-video.mp4",
                "type": "video/mp4",
                "size": 19315917,
                "path": "Publication:Ganglberger-2022-cg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/Ganglberger-2022-cg-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Ganglberger-2022-cg/",
        "__class": "Publication"
    },
    {
        "id": "Schindler-2022-eurovis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/175711",
        "title": "Nested Papercrafts for Anatomical and Biological Edutainment",
        "date": "2022-06",
        "abstract": "In this paper, we present a new workflow for the computer-aided generation of physicalizations, addressing Nested configurations in anatomical and biological structures. Physicalizations are an important component of anatomical and biological education and edutainment. However, existing approaches have mainly revolved around creating data sculptures through digital fabrication. Only a few recent works proposed computer-aided pipelines for generating sculptures, such as papercrafts, with affordable and readily available materials. Papercraft generation remains a Challenging topic by itself. Yet, anatomical and biological applications pose additional Challenges, such as reconstruction complexity and insufficiency to account for multiple, Nested structures—often present in anatomical and biological structures. Our workflow comprises the following steps: (i) define the Nested configuration of the model and detect its levels, (ii) calculate the viewpoint that provides optimal, unobstructed views on inner levels, (iii) perform cuts on the outer levels to reveal the inner ones based on the viewpoint selection, (iv) estimate the stability of the cut papercraft to ensure a reliable outcome, (v) generate textures at each level, as a smart visibility mechanism that provides additional information on the inner structures, and (vi) unfold each textured mesh guaranteeing reconstruction. Our novel approach exploits the interactivity of Nested papercraft models for edutainment purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "Schindler-2022-eurovis-image.png",
            "type": "image/png",
            "size": 66402,
            "path": "Publication:Schindler-2022-eurovis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "lecturer,journal",
        "repositum_presentation_id": null,
        "authors": [
            1760,
            1697,
            1410,
            1464
        ],
        "booktitle": "Eurographics Conference on Visualization (EuroVis) 2022",
        "cfp": {
            "name": "ev2022-cpf.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "241772",
            "orig_name": "ev2022-cpf.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-06-13",
        "date_to": "2022-06-17",
        "doi": "10.1111/cgf.14561",
        "event": "EuroVis 2022 - 24th Eurographics Conference on Visualization",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1464
        ],
        "location": "Rom",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "541",
        "pages_to": "553",
        "publisher": "Wiley & Sons Ltd",
        "volume": "41,3",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Applied computing",
            "Life and medical sciences",
            "Human-centered computing",
            "Visualization techniques",
            "Scientific visualization",
            "Interaction paradigms"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "Schindler-2022-eurovis-image.png",
                "type": "image/png",
                "size": 66402,
                "path": "Publication:Schindler-2022-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schindler-2022-eurovis-paper.pdf",
                "type": "application/pdf",
                "size": 46112659,
                "path": "Publication:Schindler-2022-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schindler-2022-eurovis-video.mp4",
                "type": "video/mp4",
                "size": 76649209,
                "path": "Publication:Schindler-2022-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/Schindler-2022-eurovis-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Schindler-2022-eurovis/",
        "__class": "Publication"
    },
    {
        "id": "dhanoa-2022-apm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/174385",
        "title": "A Process Model for Dashboard Onboarding",
        "date": "2022-06",
        "abstract": "Dashboards are used ubiquitously to gain and present insights into data by means of interactive visualizations. To bridge the gap between non-expert dashboard users and potentially complex datasets and/or visualizations, a variety of onboarding strategies are employed, including videos, narration, and interactive tutorials. We propose a process model for dashboard onboarding that formalizes and unifies such diverse onboarding strategies. Our model introduces the onboarding loop alongside the dashboard usage loop. Unpacking the onboarding loop reveals how each onboarding strategy combines selected building blocks of the dashboard with an onboarding narrative. Specific means are applied to this narration sequence for onboarding, which results in onboarding artifacts that are presented to the user via an interface. We concretize these concepts by showing how our process model can be used to describe a selection of real-world onboarding examples. Finally, we discuss how our model can serve as an actionable blueprint for developing new onboarding systems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1892,
            1893,
            1895,
            5254,
            166,
            1896
        ],
        "doi": "10.1111/cgf.14558",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "3",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "501",
        "pages_to": "513",
        "publisher": "Wiley",
        "volume": "41",
        "research_areas": [],
        "keywords": [
            "CCS Concepts",
            "concepts and paradigms",
            "Human-centered computing",
            "Visualization theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dhanoa-2022-apm-paper.pdf",
                "type": "application/pdf",
                "size": 1081002,
                "path": "Publication:dhanoa-2022-apm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/dhanoa-2022-apm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/dhanoa-2022-apm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/dhanoa-2022-apm/",
        "__class": "Publication"
    },
    {
        "id": "Eichner2022",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/20311",
        "title": "Interactive Co-Registration for Multi-Modal Cancer Imaging Data based on Segmentation Masks",
        "date": "2022-05-17",
        "abstract": "Endometrial cancer is the most common and most lethal gynecologic malignancy world-wide. Multiple MRI sequences are acquired per patient in gynecologic cancer research because they reveal diﬀerent tissue characteristics. Radiomic tumor proﬁling extracts features from medical imaging data aiming to ﬁnd new tumor imaging biomarkers. Co-registration and tumor segmentation of multi-sequential MRI data build the base for radiomic tumor proﬁling. Many approaches exist that aim to automate these time-consuming manual processes. After automatic co-registration, volumes are often still misaligned. This lack of registration quality has an impact on the results of radiomic tumor proﬁling, since we cannot ensure voxel integrity.\nWe distinguish between rigid and deformable registration. Rigid registration transforms a volume using only translation and rotation parameters, while deformable registration can include local deformations. Tumors are rigid structures compared to the tissue around them. Therefore, rigid co-registration can be suﬃcient to align tumors. However, to analyze also surrounding structures, deformable registration is necessary. Even though tumors are rigid structures, they can appear slightly diﬀerent in the varying sequences due to imaging physics. Applying deformable registration to the whole image can result in tumor deformations that do not resemble the underlying biological tissue characteristics and can alter important information about tumor tissue characteristics.\nTo address these two problems, we propose the web-based application MuSIC (Multi-Sequential Interactive Co-registration). The tool allows medical experts to co-register multiple sequences simultaneously based on a pre-deﬁned segmentation mask that has been generated for one of the sequences. In our workﬂow, a simulated-annealing-based shape matching algorithm searches for the tumor position in each sequence that can vary in translation and rotation parameters. We present the updated segmentation positions to the user, who can interactively adapt the positions if needed. We include multi-modal visualization techniques for visual quality assessment during this procedure. Based on the positioning of the segmentation masks, we register the volumes. We allow for both rigid and deformable co-registration. Due to our approach based on segmentation masks, we apply local transformations mainly outside the tumor tissue in deformable registration.\nWe evaluate our approach in a usability analysis with medical and machine learning experts. They ﬁnd the tool very intuitive and especially the medical experts clearly see themselves using MuSIC in the future.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 569,
            "image_height": 475,
            "name": "Eichner2022-Image.JPG",
            "type": "image/jpeg",
            "size": 35616,
            "path": "Publication:Eichner2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1934
        ],
        "date_end": "2022-05-17",
        "date_start": "2021-02-03",
        "diploma_examina": "2022-06-27",
        "doi": "10.34726/hss.2022.96562",
        "matrikelnr": "11911100",
        "open_access": "yes",
        "pages": "126",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Multi-Modal Segmentation",
            "Registration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 569,
                "image_height": 475,
                "name": "Eichner2022-Image.JPG",
                "type": "image/jpeg",
                "size": 35616,
                "path": "Publication:Eichner2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Eichner2022-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 15515187,
                "path": "Publication:Eichner2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Eichner2022-Poster.pdf",
                "type": "application/pdf",
                "size": 3740556,
                "path": "Publication:Eichner2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/Eichner2022-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Eichner2022/",
        "__class": "Publication"
    },
    {
        "id": "cornel-2022-wih",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/154434",
        "title": "Watertight Incremental Heightfield Tessellation",
        "date": "2022-05-06",
        "abstract": "In this paper, we propose a method for the interactive visualization of medium-scale dynamic heightfields without visual artifacts. Our data fall into a category too large to be rendered directly at full resolution, but small enough to fit into GPU memory without pre-filtering and data streaming. We present the real-world use case of unfiltered flood simulation data of such medium scale that need to be visualized in real time for scientific purposes. Our solution facilitates compute shaders to maintain a guaranteed watertight triangulation in GPU memory that approximates the interpolated heightfields with view-dependent, continuous levels of detail. In each frame, the triangulation is updated incrementally by iteratively refining the cached result of the previous frame to minimize the computational effort. In particular, we minimize the number of heightfield sampling operations to make adaptive and higher-order interpolations viable options. We impose no restriction on the number of subdivisions and the achievable level of detail to allow for extreme zoom ranges required in geospatial visualization. Our method provides a stable runtime performance and can be executed with a limited time budget. We present a comparison of our method to three state-of-the-art methods, in which our method is competitive to previous non-watertight methods in terms of runtime, while outperforming them in terms of accuracy.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.",
            "filetitle": "detail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1000,
            "name": "cornel-2022-wih-detail.png",
            "type": "image/png",
            "size": 1766315,
            "path": "Publication:cornel-2022-wih",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date",
        "repositum_presentation_id": null,
        "authors": [
            877,
            1793,
            166,
            798
        ],
        "doi": "10.1109/TVCG.2022.3173081",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "pages": "12",
        "publisher": "Institute of Electrical and Electronics Engineers (IEEE)",
        "volume": "PP",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Data visualization",
            "Graphics processing units",
            "heightfield rendering",
            "Interpolation",
            "level of detail",
            "Merging",
            "Real-time systems",
            "Rendering (computer graphics)",
            "Surface reconstruction",
            "terrain rendering",
            "tessellation",
            "Visualization techniques and methodologies"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Real-time visualization result of our method for decision support in flood management. Close-up of flood simulation results at 1 m resolution.",
                "filetitle": "detail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1000,
                "name": "cornel-2022-wih-detail.png",
                "type": "image/png",
                "size": 1766315,
                "path": "Publication:cornel-2022-wih",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-detail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "implementation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "cornel-2022-wih-implementation.zip",
                "type": "application/zip",
                "size": 8540732,
                "path": "Publication:cornel-2022-wih",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-implementation.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Real-time visualization result of our method for decision support in flood management. Overview perspective\nwith geospatial data of Austria. Three nested terrain heightfields defined on an area of 572 km × 293 km are combined with\na dynamic water heightfield in a focus region of 22 km × 15 km .",
                "filetitle": "overview",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1000,
                "name": "cornel-2022-wih-overview.png",
                "type": "image/png",
                "size": 3589497,
                "path": "Publication:cornel-2022-wih",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-overview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cornel-2022-wih-paper.pdf",
                "type": "application/pdf",
                "size": 16857216,
                "path": "Publication:cornel-2022-wih",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/cornel-2022-wih-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cornel-2022-wih/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2022-it1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153673",
        "title": "Curve/Surface Reconstruction and Occlusion-enabled Applications",
        "date": "2022-05-02",
        "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple, and non-manifold outlines, runtime, and provability as well as its extension to 3D for surface reconstruction have led to many different algorithms. The presented algorithms spans the range from improved interpolation of manifold curves over fitting noisy points with better accuracy, requiring fewer points for successful reconstruction to proving the lower limit of required samples with regard to local feature size, or provable statistical accuracy for noise-infected samples. A new sampling condition is introduced that can be expressed as a simple function of the long-standing epsilon-sampling, and permits to reconstruct curves with even fewer samples. As a side product, an algorithm for sampling curves is designed as well. A survey paper compares this body of work with all related work in this now mature field and includes an open source benchmark that allows to easily evaluate competing algorithms in multiple aspects and highlights their relative strengths. For selected 2D algorithms, extensions to 3D are given, as well as offering many novel perspectives for 3D reconstruction, where important open problems remain. As a different topic, when visualizing point clouds, occlusion can be inferred for almost free by exploiting the fact that point clouds representing surfaces are inherently 2D and squashing them in a view-based 2D data structure. This permits novel real-time methods on large point clouds such as collision detection, surface processing like cutting or editing, and efficient exploration.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 286,
            "image_height": 295,
            "name": "ohrhallinger_stefan-2022-it1-.JPG",
            "type": "image/jpeg",
            "size": 27869,
            "path": "Publication:ohrhallinger_stefan-2022-it1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,location,projects,abstract",
        "repositum_presentation_id": null,
        "authors": [
            948
        ],
        "date_from": "2022-05-02",
        "date_to": "2022-05-02",
        "event": "Invited Talk",
        "lecturer": [
            948
        ],
        "location": "LiX Polytechnique, Saclay-Paris, France",
        "research_areas": [],
        "keywords": [
            "curve reconstruction",
            "surface reconstruction",
            "occlusions"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 286,
                "image_height": 295,
                "name": "ohrhallinger_stefan-2022-it1-.JPG",
                "type": "image/jpeg",
                "size": 27869,
                "path": "Publication:ohrhallinger_stefan-2022-it1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/ohrhallinger_stefan-2022-it1-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-it1/",
        "__class": "Publication"
    },
    {
        "id": "cardoso-2022-rtpercept",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/142206",
        "title": "Training and Predicting Visual Error for Real-Time Applications",
        "date": "2022-05",
        "abstract": "Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as content-adaptive shading and shading reuse to increase performance and improve efficiency. A wide range of different metrics has been established, with the most sophisticated being capable of capturing the perceptual characteristics of the human visual system. However, their complexity, computational expense, and reliance on reference images to compare against prevent their generalized use in real-time, restricting such applications to using only the simplest available metrics.\n\nIn this work, we explore the abilities of convolutional neural networks to predict a variety of visual metrics without requiring either reference or rendered images. Specifically, we train and deploy a neural network to estimate the visual error resulting from reusing shading or using reduced shading rates. The resulting models account for 70%--90% of the variance while achieving up to an order of magnitude faster computation times. Our solution combines image-space information that is readily available in most state-of-the-art deferred shading pipelines with reprojection from previous frames to enable an adequate estimate of visual errors, even in previously unseen regions. We describe a suitable convolutional network architecture and considerations for data preparation for training. We demonstrate the capability of our network to predict complex error metrics at interactive rates in a real-time application that implements content-adaptive shading in a deferred pipeline. Depending on the portion of unseen image regions, our approach can achieve up to 2x performance compared to state-of-the-art methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1088,
            "name": "cardoso-2022-rtpercept-teaser.png",
            "type": "image/png",
            "size": 2493649,
            "path": "Publication:cardoso-2022-rtpercept",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1639,
            1650,
            868,
            1921,
            193
        ],
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1227280",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-05-03",
        "date_to": "2022-05-05",
        "doi": "10.1145/3522625",
        "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            1639
        ],
        "location": "online",
        "number": "1",
        "open_access": "yes",
        "pages": "17",
        "pages_from": "1",
        "pages_to": "17",
        "publisher": "Association for Computing Machinery",
        "volume": "5",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "perceptual error",
            "variable rate shading",
            "real-time"
        ],
        "weblinks": [
            {
                "href": "https://jaliborc.github.io/rt-percept/",
                "caption": "Paper Website",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cardoso-2022-rtpercept-paper.pdf",
                "type": "application/pdf",
                "size": 54709850,
                "path": "Publication:cardoso-2022-rtpercept",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1088,
                "name": "cardoso-2022-rtpercept-teaser.png",
                "type": "image/png",
                "size": 2493649,
                "path": "Publication:cardoso-2022-rtpercept",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/cardoso-2022-rtpercept-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/cardoso-2022-rtpercept/",
        "__class": "Publication"
    },
    {
        "id": "geyer-2018-apbf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/19979",
        "title": "Adaptive Sampling in position based fluids",
        "date": "2022-05",
        "abstract": "Position-Based Fluids (PBF) are a Lagrangian fluid-simulation method and are an implementation of Smoothed Particle Hydrodynamics integrated into the Position-Based Dynamics (PBD) framework. In PBD, constraints applied to object positions are used to enforce a variety of physical laws. In the case of PBF, the fluid is represented by particles and constraints are added that prevent fluid compression. The original PBF method defines all particles to be of equal mass and rest density. In this thesis, we propose a method for generalizing PBF to allow particles to represent varying amounts of fluid. This enables the fluid to be simulated with regionally varying levels of detail with the intent to reduce memory consumption and to increase performance. For each fluid region, we compute the targeted level of detail based on its distance to the fluid boundary, and use merging and splitting strategies to adapt the particles accordingly. We discuss the relation of the particle density to the kernel width used in PBF and provide several approaches for adapting the kernel width to fit the local level of detail. The advantages and disadvantages of each approach are evaluated and a streamlined implementation-variant is proposed which has advantageous properties for larger bodies of fluid. This streamlined solution bases the kernel width entirely on the boundary distance. Its approach is mathematically analyzed in regard to the expected number of particles and neighbor pairs for varying fluid body sizes. The mathematical analysis as well as measurements done in our test implementation show that while our method might increase the neighbor pair count for shallow fluids, it greatly reduces the number of particles and neighbor pairs if the fluid is sufficiently deep, giving the opportunity to significantly lower the computational effort in these cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A spherical shaped body of fluid where the proposed technique has merged some particles into particles with larger masses in the inner regions.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 996,
            "image_height": 966,
            "name": "geyer-2018-apbf-image.jpg",
            "type": "image/jpeg",
            "size": 342534,
            "path": "Publication:geyer-2018-apbf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1140
        ],
        "co_supervisor": [
            848
        ],
        "date_end": "2022-05",
        "date_start": "2018-12",
        "diploma_examina": "2022-05",
        "doi": "10.34726/hss.2022.92665",
        "matrikelnr": "01026408",
        "open_access": "yes",
        "pages": "81",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Position-Based Fluids",
            "Particle-Based Fluid Simulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "A spherical shaped body of fluid where the proposed technique has merged some particles into particles with larger masses in the inner regions.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 996,
                "image_height": 966,
                "name": "geyer-2018-apbf-image.jpg",
                "type": "image/jpeg",
                "size": 342534,
                "path": "Publication:geyer-2018-apbf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-image:thumb{{size}}.png"
            },
            {
                "description": "Poster (PDF)",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "geyer-2018-apbf-poster.pdf",
                "type": "application/pdf",
                "size": 3163396,
                "path": "Publication:geyer-2018-apbf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-poster:thumb{{size}}.png"
            },
            {
                "description": "Thesis (PDF)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "geyer-2018-apbf-thesis.pdf",
                "type": "application/pdf",
                "size": 13615309,
                "path": "Publication:geyer-2018-apbf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/geyer-2018-apbf-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/geyer-2018-apbf/",
        "__class": "Publication"
    },
    {
        "id": "marin-2022-sig",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": "20.500.12708/175985",
        "title": "SIG-based Curve Reconstruction",
        "date": "2022-04-25",
        "abstract": "We introduce a new method to compute the shape of an unstructured set of two-dimensional points. The algorithm exploits the to-date rarely used proximity-based graph called spheres-of-influence graph (SIG). We filter edges from the Delaunay triangulation belonging to the SIG as an initial graph and apply some additional processing plus elements from the Connect2D algorithm. This combination already shows improvements in curve reconstruction, yielding the best reconstruction accuracy compared to state-of-the-art algorithms from a recent comprehensive benchmark, and offers potential of further improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1822,
            "image_height": 1121,
            "name": "marin-2022-sig-image.png",
            "type": "image/png",
            "size": 112024,
            "path": "Publication:marin-2022-sig",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects,date,location,issn",
        "repositum_presentation_id": null,
        "authors": [
            1848,
            948,
            193
        ],
        "booktitle": "Eurographics 2022 - Posters",
        "cfp": {
            "name": "029-030.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "189336",
            "orig_name": "029-030.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-04-25",
        "date_to": "2022-04-29",
        "doi": "10.2312/egp.20221013",
        "editor": "Sauvage, Basile and Hasic-Telalovic, Jasminka",
        "event": "Eurographics 2022 - 43rd Annual Conference of the European Association for Computer Graphics",
        "isbn": "978-3-03868-171-7",
        "issn": "1017-4656",
        "lecturer": [
            1848
        ],
        "location": "Reims, France",
        "open_access": "yes",
        "pages": "2",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Curve reconstruction",
            "Spheres-of-influence graph",
            "Computing methodologies",
            "Point-based models"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/egp20221013",
                "caption": "Paper",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://www.youtube.com/watch?v=JExKRTSI0Po",
                "caption": "Video Presentation",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1822,
                "image_height": 1121,
                "name": "marin-2022-sig-image.png",
                "type": "image/png",
                "size": 112024,
                "path": "Publication:marin-2022-sig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marin-2022-sig-paper.pdf",
                "type": "application/pdf",
                "size": 189336,
                "path": "Publication:marin-2022-sig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 6623,
                "preview_image_height": 9363,
                "name": "marin-2022-sig-poster.pdf",
                "type": "application/pdf",
                "size": 1622814,
                "path": "Publication:marin-2022-sig",
                "preview_name": "marin-2022-sig-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 2085570,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/marin-2022-sig-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/marin-2022-sig/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2022-tut",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shape Reconstruction: From Theory to Practice",
        "date": "2022-04-25",
        "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation of a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results and easy integration of new algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 476,
            "image_height": 251,
            "name": "ohrhallinger_stefan-2022-tut-.JPG",
            "type": "image/jpeg",
            "size": 27189,
            "path": "Publication:ohrhallinger_stefan-2022-tut",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1825,
            1828
        ],
        "booktitle": "Eurographics 2022 - Tutorials",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve reconstruction",
            "region reconstruction",
            "benchmark"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/",
                "caption": "website",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 476,
                "image_height": 251,
                "name": "ohrhallinger_stefan-2022-tut-.JPG",
                "type": "image/jpeg",
                "size": 27189,
                "path": "Publication:ohrhallinger_stefan-2022-tut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/ohrhallinger_stefan-2022-tut-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger_stefan-2022-tut/",
        "__class": "Publication"
    },
    {
        "id": "ASCHL-2022-OTV",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimizing a 3D Terrain Viewer",
        "date": "2022-04-22",
        "abstract": "MapLibre is the leading open-source library for vector maps, forked from MapBox GL, with active contributions from Wikimedia, Microsoft and Amazon, among many others.\n\nThe company Toursprung GmbH has contributed a 3D terrain view to the project (already merged). Some optimization tasks and open questions remain that should be addressed in the scope of this project in a collaboration between Toursprung and TU Wien.\n\nAbout Toursprung: Toursprung is a company in Vienna providing a cartography framework for companies like Red Bull, Deutsche Bahn or the national tourism offices of Germany and Austria.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1927
        ],
        "date_start": "2022-04-22",
        "matrikelnr": "1529509",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "terrain rendering",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ASCHL-2022-OTV/",
        "__class": "Publication"
    },
    {
        "id": "mortezapoor-2022-photogrammabot",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/78073",
        "title": "Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality",
        "date": "2022-04-20",
        "abstract": "Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1881,
            1731,
            5533,
            378
        ],
        "booktitle": "Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
        "date_from": "2022-03-12",
        "date_to": "2022-03-16",
        "doi": "10.1109/VRW55335.2022.00033",
        "event": "2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
        "isbn": "978-1-6654-8403-9",
        "lecturer": [
            1881
        ],
        "location": "Christchurch",
        "pages": "7",
        "pages_from": "101",
        "pages_to": "107",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "3D reconstruction",
            "Artificial intelligence",
            "automation",
            "autonomous mobile robot",
            "Computer systems organization",
            "Computer vision",
            "Computing methodologies",
            "Embedded and cyberphysical systems",
            "fiducial marker tracking",
            "Human computer interaction (HCI)",
            "Human computer interaction (HCI)",
            "Human-centered computing",
            "Human-centered computing",
            "Interaction paradigms",
            "mixed-reality",
            "Mixed/augmented reality",
            "Photogrammetry",
            "Reconstruction",
            "Robotic autonomy",
            "Robotics",
            "ROS",
            "Virtual reality"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/mortezapoor-2022-photogrammabot/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2022-ivd",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153772",
        "title": "Interactive Visual Data Analysis",
        "date": "2022-04-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2022-04-08",
        "date_to": "2022-04-08",
        "event": "Mini Symposium",
        "lecturer": [
            166
        ],
        "location": "Eindhoven",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Data Analysis"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/groeller-2022-ivd/",
        "__class": "Publication"
    },
    {
        "id": "gamsjaeger-2022-proc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Modeling utilizing Parser Generators",
        "date": "2022-04",
        "abstract": "Modeling and simulating of buildings, cities, and metropolis is of huge interest in today’s industries. It allows observing realistic representations in a three-dimensional virtual space as it is used in games and simulations of specific situations. One way to achieve this is procedural modeling, a method that only needs little input to generate complex scenes and structures. In combination with so-called parser generators, an efficient and less time-consuming approach is achieved. The resulting application then gives the user a simple and fast way to generate, model, and design highly complex structures. In this thesis, we first will go into detail about today’s standards and the possibilities which are available at the moment. Then resume with an illustration of two widely used parser generators called ANTLR and Bison and how we replaced the first with the second. Leaving us with a comparison, of their advantages and disadvantages and demonstrating the resulting outcome.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1193,
            "image_height": 1045,
            "name": "gamsjaeger-2022-proc-teaser.png",
            "type": "image/png",
            "size": 551042,
            "path": "Publication:gamsjaeger-2022-proc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1924
        ],
        "date_end": "2022-04-10",
        "date_start": "2020-01-01",
        "matrikelnr": "01631843",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "parsing",
            "procedural geometry",
            "architecture"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1193,
                "image_height": 1045,
                "name": "gamsjaeger-2022-proc-teaser.png",
                "type": "image/png",
                "size": 551042,
                "path": "Publication:gamsjaeger-2022-proc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gamsjaeger-2022-proc-thesis.pdf",
                "type": "application/pdf",
                "size": 8889729,
                "path": "Publication:gamsjaeger-2022-proc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/gamsjaeger-2022-proc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/gamsjaeger-2022-proc/",
        "__class": "Publication"
    },
    {
        "id": "grossmann-2022-conceptSplatters",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/152292",
        "title": "Concept splatters: Exploration of latent spaces based on human interpretable concepts",
        "date": "2022-04",
        "abstract": "Similarity maps show dimensionality-reduced activation vectors of a high number of data points and thereby can help to understand which features a neural network has learned from the data. However, similarity maps have severely limited expressiveness for large datasets with hundreds of thousands of data instances and thousands of labels, such as ImageNet or word2vec. In this work, we present “concept splatters” as a scalable method to interactively explore similarities between data instances as learned by the machine through the lens of human-understandable semantics. Our approach enables interactive exploration of large latent spaces on multiple levels of abstraction. We present a web-based implementation that supports interactive exploration of tens of thousands of word vectors of word2vec and CNN feature vectors of ImageNet. In a qualitative study, users could effectively discover spurious learning strategies of the network, ambiguous labels, and could characterize reasons for potential confusion.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1055,
            "image_height": 794,
            "name": "grossmann-2022-conceptSplatters-teaser.png",
            "type": "image/png",
            "size": 1013977,
            "path": "Publication:grossmann-2022-conceptSplatters",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects",
        "repositum_presentation_id": null,
        "authors": [
            1366,
            166,
            1110
        ],
        "doi": "10.1016/j.cag.2022.04.013",
        "issn": "1873-7684",
        "journal": "Computers and Graphics",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "73",
        "pages_to": "84",
        "publisher": "Elsevier",
        "volume": "105",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Concept spaces",
            "Latent spaces",
            "Similarity maps",
            "Visual exploratory analysis"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S0097849322000656",
                "caption": "paper",
                "description": "Link to open access paper",
                "main_file": 1
            },
            {
                "href": "https://kontor.cg.tuwien.ac.at/ConceptSplatters/",
                "caption": "online demo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Detailed findings",
                "filetitle": "supplementary document",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2022-conceptSplatters-supplementary document.pdf",
                "type": "application/pdf",
                "size": 25193252,
                "path": "Publication:grossmann-2022-conceptSplatters",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-supplementary document.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-supplementary document:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1055,
                "image_height": 794,
                "name": "grossmann-2022-conceptSplatters-teaser.png",
                "type": "image/png",
                "size": 1013977,
                "path": "Publication:grossmann-2022-conceptSplatters",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2022-conceptSplatters-video.mp4",
                "type": "video/mp4",
                "size": 49841833,
                "path": "Publication:grossmann-2022-conceptSplatters",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/grossmann-2022-conceptSplatters-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grossmann-2022-conceptSplatters/",
        "__class": "Publication"
    },
    {
        "id": "HANN_2022_IPT",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Incremental Updates of Path-Traced Scenes during Editing",
        "date": "2022-04",
        "abstract": "In this work I present a novel adaptive sampling algorithm for 3D editing software, developed by me and my colleagues. The algorithm is based on the idea of using knowledge about how a given user interaction affects a scene visually. We split the\nimage into regions and order them, according to that knowledge, from most noticeably affected to least. The rendering budget can then be focused on the more affected regions earlier and on the lesser ones later in an incremental rendering process. Although this concept could probably work with other rendering methods, we designed it to be able to use path-tracing as the viewport renderer in 3D editing software without the typical grain-like noise and waiting times for sufficiently smooth rendered images this technology usually comes with. The goal of this work is to offer users of 3D editing software an as uninterrupted workflow as possible while still being able to see their work in high quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1679,
            "image_height": 947,
            "name": "HANN_2022_IPT-teaser.png",
            "type": "image/png",
            "size": 1562959,
            "path": "Publication:HANN_2022_IPT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1922
        ],
        "date_end": "2022",
        "date_start": "2021",
        "matrikelnr": "01633018",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "incremental rendering",
            "path tracing",
            "GPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1679,
                "image_height": 947,
                "name": "HANN_2022_IPT-teaser.png",
                "type": "image/png",
                "size": 1562959,
                "path": "Publication:HANN_2022_IPT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "HANN_2022_IPT-thesis.pdf",
                "type": "application/pdf",
                "size": 31315114,
                "path": "Publication:HANN_2022_IPT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/HANN_2022_IPT-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/HANN_2022_IPT/",
        "__class": "Publication"
    },
    {
        "id": "sietzen-2022-vacnnr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/20099",
        "title": "Visual Analytics for Convolutional Neural Network Robustness",
        "date": "2022-04",
        "abstract": "Convolutional neural networks (CNNs) are a type of machine learning model that is\nwidely used for computer vision tasks. Despite their high performance, the robustness of\nCNNs is often weak. A model trained for image classification might misclassify an image\nwhen it is slightly rotated, blurred, or after a change in color saturation. Moreover, CNNs\nare vulnerable to so-called “adversarial attacks”, methods where analytically computed\nperturbations are generated which fool the classifier despite being imperceptible by\nhumans. Various training methods have been designed to increase robustness in CNNs.\n\nIn this thesis, we investigate CNN robustness with two approaches: First, we visualize\ndifferences between standard and robust training methods. For this, we use feature\nvisualization, a method to visualize the patterns which individual units of a CNN respond\nto. Subsequently, we present an interactive visual analytics application which lets the\nuser manipulate a 3d scene while simultaneously observing a CNN’s prediction, as\nwell as intermediate neuron activations. To be able to compare standard and robustly\ntrained models, the application allows simultaneously observing two models. To test\nthe usefulness of our application, we conducted five case studies with machine learning\nexperts. During these case studies and our own experiments, several novel insights about\nrobustly trained models were made, three of which we verified quantitatively. Despite its\nability to probe two high performing CNNs in real-time, our tool fully runs client-side\nin a standard web-browser and can be served as a static website, without requiring a\npowerful backend server",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "activations",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 420,
            "image_height": 437,
            "name": "sietzen-2022-vacnnr-activations.png",
            "type": "image/png",
            "size": 219337,
            "path": "Publication:sietzen-2022-vacnnr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1373
        ],
        "date_end": "2022-04",
        "date_start": "2019",
        "diploma_examina": "2022-05",
        "matrikelnr": "0372194",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/",
                "caption": "Computer Graphics Forum paper",
                "description": "Journal paper associated with the thesis",
                "main_file": 0
            },
            {
                "href": "http://perturber.stefansietzen.at/",
                "caption": "online playground",
                "description": "Online playground",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "activations",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 420,
                "image_height": 437,
                "name": "sietzen-2022-vacnnr-activations.png",
                "type": "image/png",
                "size": 219337,
                "path": "Publication:sietzen-2022-vacnnr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-activations:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2022-vacnnr-Master thesis.pdf",
                "type": "application/pdf",
                "size": 13007795,
                "path": "Publication:sietzen-2022-vacnnr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2022-vacnnr-poster.pdf",
                "type": "application/pdf",
                "size": 1572744,
                "path": "Publication:sietzen-2022-vacnnr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/sietzen-2022-vacnnr-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sietzen-2022-vacnnr/",
        "__class": "Publication"
    },
    {
        "id": "celarek-2022-gmcn",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/188182",
        "title": "Gaussian Mixture Convolution Networks",
        "date": "2022-04",
        "abstract": "This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures.\nIn contrast to tensors, these do not suffer from the curse of dimensionality and allow for a compact representation, as data is only stored where details exist.\nConvolution kernels and data are Gaussian mixtures with unconstrained weights, positions, and covariance matrices.\nSimilar to discrete convolutional networks, each convolution step produces several feature channels, represented by independent Gaussian mixtures.\nSince traditional transfer functions like ReLUs do not produce Gaussian mixtures, we propose using a fitting of these functions instead.\nThis fitting step also acts as a pooling layer if the number of Gaussian components is reduced appropriately.\nWe demonstrate that networks based on this architecture reach competitive accuracy on Gaussian mixtures fitted to the MNIST and ModelNet data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1500,
            "image_height": 1367,
            "name": "celarek-2022-gmcn-teaser.png",
            "type": "image/png",
            "size": 720960,
            "path": "Publication:celarek-2022-gmcn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013,
            1919,
            1650,
            951,
            193
        ],
        "booktitle": "The Tenth International Conference on Learning Representations (ICLR 2022)",
        "cfp": {
            "name": "ICLR2022_Call for Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "32122",
            "orig_name": "ICLR2022_Call for Papers.pdf",
            "ext": "pdf"
        },
        "event": "ICLR | 2022",
        "lecturer": [
            1013
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "23",
        "publisher": "OpenReview.org",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Gaussian-Mixture-Convolution-Networks",
                "caption": "Code on github",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://openreview.net/forum?id=Oxeka7Z7Hor",
                "caption": "Paper on OpenReview",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "celarek-2022-gmcn-paper.pdf",
                "type": "application/pdf",
                "size": 5943864,
                "path": "Publication:celarek-2022-gmcn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1500,
                "image_height": 1367,
                "name": "celarek-2022-gmcn-teaser.png",
                "type": "image/png",
                "size": 720960,
                "path": "Publication:celarek-2022-gmcn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/celarek-2022-gmcn-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "EVOCATION",
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/celarek-2022-gmcn/",
        "__class": "Publication"
    },
    {
        "id": "kerbl-2022-cuda",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "CUDA and Applications to Task-based Programming",
        "date": "2022-04",
        "abstract": "To provide a profound understanding of how CUDA applications can achieve peak performance, the first two parts of this tutorial outline the modern CUDA architecture. Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. We show how these considerations can be implemented in practice by presenting state-of-the-art research into task-based GPU scheduling, and how the dynamic adjustment of thread roles and group configurations can significantly increase performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1800,
            "image_height": 1151,
            "name": "kerbl-2022-cuda-teaser.png",
            "type": "image/png",
            "size": 718260,
            "path": "Publication:kerbl-2022-cuda",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1650,
            1661,
            1834,
            1662
        ],
        "booktitle": "Eurographics 2022 - Tutorials",
        "editor": "Stefanie Hahmann and Gustavo Patow",
        "location": "Reims",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Parallel Programming",
            "GPU"
        ],
        "weblinks": [
            {
                "href": "https://cuda-tutorial.github.io/index.html",
                "caption": "Tutorial Homepage",
                "description": "Course notes and code samples for the tutorial",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kerbl-2022-cuda-paper.pdf",
                "type": "application/pdf",
                "size": 798232,
                "path": "Publication:kerbl-2022-cuda",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1800,
                "image_height": 1151,
                "name": "kerbl-2022-cuda-teaser.png",
                "type": "image/png",
                "size": 718260,
                "path": "Publication:kerbl-2022-cuda",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/kerbl-2022-cuda-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-cuda/",
        "__class": "Publication"
    },
    {
        "id": "kerbl-2022-trienc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/139870",
        "title": "An Improved Triangle Encoding Scheme for Cached Tessellation",
        "date": "2022-04",
        "abstract": "With the recent advances in real-time rendering that were achieved by embracing software rasterization, the interest in alternative solutions for other fixed-function pipeline stages rises. In this paper, we revisit a recently presented software approach for cached tessellation, which compactly encodes and stores triangles in GPU memory. While the proposed technique is both efficient and versatile, we show that the original encoding is suboptimal and provide an alternative scheme that acts as a drop-in replacement. As shown in our evaluation, the proposed modifications can yield performance gains of 40\\% and more.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1307,
            "image_height": 853,
            "name": "kerbl-2022-trienc-teaser.png",
            "type": "image/png",
            "size": 43599,
            "path": "Publication:kerbl-2022-trienc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,event,pages,pages_from,pages_to,publisher,keywords",
        "repositum_presentation_id": null,
        "authors": [
            1650,
            1772,
            877,
            193
        ],
        "booktitle": "Eurographics 2022 - Short Papers",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "718298",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-04-25",
        "date_to": "2022-04-29",
        "doi": "10.2312/egs.20221031",
        "editor": "Pelechano, Nuria and Vanderhaeghe, David",
        "event": "Eurographics 2022",
        "first_published": "2022",
        "isbn": "978-3-03868-169-4",
        "issn": "1017-4656",
        "lecturer": [
            1650
        ],
        "location": "Reims",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "gpu",
            "real-time",
            "tessellation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kerbl-2022-trienc-paper.pdf",
                "type": "application/pdf",
                "size": 2336032,
                "path": "Publication:kerbl-2022-trienc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1307,
                "image_height": 853,
                "name": "kerbl-2022-trienc-teaser.png",
                "type": "image/png",
                "size": 43599,
                "path": "Publication:kerbl-2022-trienc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/kerbl-2022-trienc-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kerbl-2022-trienc/",
        "__class": "Publication"
    },
    {
        "id": "lippeck-2022-mna",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Graph Algorithm for Multilayer Network Analytics",
        "date": "2022-04",
        "abstract": "Simple graphs are often not able to accurately represent real world entities. Therefore, more complex data structures have been introduced, one of which is the so-called “multilayer network”. Multilayer networks are used in multiple fields, such as medical\nscience, where data can represent the correlation of diseases or social science, where data\nmight represent different actors and their relationship to one another.\n\nVisualizing these complex data types is particularly challenging, as two-dimensional\nvisualizations - the gold standard for graph visualizations - are often not good enough\nto gather deeper insight into the data, as big datasets quickly fill two-dimensional\nvisualizations with visual clutter. Therefore, this thesis introduces a new visualization\ntechnique for multilayer networks by extending existing 2d state-of-the-art methods with\na third dimensions.\n\nOur solution visualizes the layers as sub graphs on a two-dimensional plane, which are\npositioned around a sphere. To optimize the layout within the layer for multilayer networks,\nour solution calculates the position of individual nodes by considering connections\nwithin the same layer, as well as connections to other layers. To minimize visual clutter,\nedge bundling was implemented, additionally to a view, which restricts the visualization\nto nodes and edges of a single layer, as well as connections to nodes of other layers. Our\nresults show that our solution with the additional space due to the third dimension,\ncombined with an optimized layout, allows users to visualize larger networks and gather\nbetter insight into the data, compared to conventional two-dimensional",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 658,
            "image_height": 610,
            "name": "lippeck-2022-mna-teaser.PNG",
            "type": "image/png",
            "size": 291615,
            "path": "Publication:lippeck-2022-mna",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1926
        ],
        "date_end": "2022-04",
        "date_start": "2021",
        "matrikelnr": "11776883",
        "supervisor": [
            1072,
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 658,
                "image_height": 610,
                "name": "lippeck-2022-mna-teaser.PNG",
                "type": "image/png",
                "size": 291615,
                "path": "Publication:lippeck-2022-mna",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-teaser:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lippeck-2022-mna-thesis.pdf",
                "type": "application/pdf",
                "size": 4906915,
                "path": "Publication:lippeck-2022-mna",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/lippeck-2022-mna-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lippeck-2022-mna/",
        "__class": "Publication"
    },
    {
        "id": "ulschmid-phdthesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "unknown",
        "date": "2022-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1954
        ],
        "date_start": "2022-04",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ulschmid-phdthesis/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2022-vulkan",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/175673",
        "title": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses",
        "date": "2022-04",
        "abstract": "For over two decades, the OpenGL API provided users with the means for implementing versatile, feature-rich, and portable real-time graphics applications. Consequently, it has been widely adopted by practitioners and educators alike and is deeply ingrained in many curricula that teach real-time graphics for higher education. Over the years, the architecture of graphics processing units (GPUs) incrementally diverged from OpenGL's conceptual design. The more recently introduced Vulkan API provides a more modern, fine-grained approach for interfacing with the GPU. Various properties of this API and overall trends suggest that Vulkan could soon replace OpenGL in many areas. Hence, it stands to reason that educators who have their students' best interests at heart should provide them with corresponding lecture material. However, Vulkan is notoriously verbose and rather challenging for first-time users, thus transitioning to this new API bears a considerable risk of failing to achieve expected teaching goals. In this paper, we document our experiences after teaching Vulkan in an introductory graphics course side-by-side with conventional OpenGL. A final survey enables us to draw conclusions about perceived workload, difficulty, and students' acceptance of either approach and identify suitable conditions and recommendations for teaching Vulkan to undergraduate students.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1545,
            "image_height": 1041,
            "name": "unterguggenberger-2022-vulkan-teaser.png",
            "type": "image/png",
            "size": 1343937,
            "path": "Publication:unterguggenberger-2022-vulkan",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,projects,issn",
        "repositum_presentation_id": null,
        "authors": [
            848,
            1650,
            193
        ],
        "booktitle": "Eurographics 2022 - Education Papers",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "566277",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-04-25",
        "date_to": "2022-04-29",
        "doi": "10.2312/eged.20221043",
        "event": "Eurographics 2022",
        "isbn": "978-3-03868-170-0",
        "issn": "1017-4656",
        "lecturer": [
            848
        ],
        "location": "Reims",
        "open_access": "yes",
        "pages": "9",
        "pages_from": "31",
        "pages_to": "39",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "vulkan",
            "gpu",
            "opengl"
        ],
        "weblinks": [
            {
                "href": "https://education.siggraph.org/cgsource/content/road-vulkan-teaching-vulkan-introductory-graphics-courses",
                "caption": "\"The Road to Vulkan\" at cgSource",
                "description": "Entry at the ACM SIGGRAPH Education Committee's cgSource repository.",
                "main_file": 0
            },
            {
                "href": "https://github.com/cg-tuwien/VulkanLaunchpad",
                "caption": "Vulkan Launchpad",
                "description": "A framework by TU Wien targeted at Vulkan beginners.",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2022-vulkan-paper.pdf",
                "type": "application/pdf",
                "size": 497883,
                "path": "Publication:unterguggenberger-2022-vulkan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-paper:thumb{{size}}.png"
            },
            {
                "description": "The Road to Vulkan: Teaching Modern Low-Level APIs in Introductory Graphics Courses Slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2022-vulkan-slides.pdf",
                "type": "application/pdf",
                "size": 3637778,
                "path": "Publication:unterguggenberger-2022-vulkan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1545,
                "image_height": 1041,
                "name": "unterguggenberger-2022-vulkan-teaser.png",
                "type": "image/png",
                "size": 1343937,
                "path": "Publication:unterguggenberger-2022-vulkan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/unterguggenberger-2022-vulkan-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/unterguggenberger-2022-vulkan/",
        "__class": "Publication"
    },
    {
        "id": "Staudacher_2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D-Printing to Understand Complex Topologies",
        "date": "2022-03-18",
        "abstract": "In education and teaching, the way a topic or a concept is presented can be an important factor in how easily and thoroughly it can be grasped by students. The goal of this thesis project is to make a complex subject tangible, in this case the three-dimensional appearance of a mathematical term describing a certain topology and the way it is shaped by its parameters.\nThe approach involves 3D-fabrication of such artefacts in an attempt at providing a helpful tool to comprehend the peculiarities of such objects. A software program was created to preview and manipulate topological objects from their parameterized representations as part of this thesis. Once the shape resembles the intentions of the user, the data can be exported in a format that is suitable for further processing and ﬁnally “3D-printing”.\nThe proof-of-concept software as well as other auxiliary tools described in this document can be used to produce physical 3D-artefacts of the described models. While it might be seen as a starting point to elaborate further on this topic, some issues become apparent throughout each of the steps leading from the selection of the object, the preparation before fabrication all the way to the real-world artefacts that were created. Any future work might want to consider these issues and possibly ﬁnd better solutions to work around given limitations, and maybe ﬁnd inspiration in the suggested propositions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 639,
            "image_height": 363,
            "name": "Staudacher_2022-Image.JPG",
            "type": "image/jpeg",
            "size": 48445,
            "path": "Publication:Staudacher_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1347
        ],
        "date_end": "2022-03-18",
        "date_start": "2017-09-10",
        "matrikelnr": "00825724",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Staudacher_2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 8411448,
                "path": "Publication:Staudacher_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 639,
                "image_height": 363,
                "name": "Staudacher_2022-Image.JPG",
                "type": "image/jpeg",
                "size": 48445,
                "path": "Publication:Staudacher_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/Staudacher_2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Staudacher_2022/",
        "__class": "Publication"
    },
    {
        "id": "FRAISS-2022-CGMM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/19748",
        "title": "Construction and Visualization of Gaussian Mixture Models from Point Clouds for 3D Object Representation",
        "date": "2022-03-10",
        "abstract": "Point clouds are a common representation of three-dimensional shapes in computer graphics\nand 3D-data processing. However, in some applications, other representations are more useful.\nGaussian Mixture Models (GMMs) can be used as such an alternative representation. A GMM\nis a convex sum of normal distributions, which aims to describe a point cloud’s density. In\nthis thesis, we investigate both visualization and construction of GMMs. For visualization,\nwe have implemented a tool that enables both isoellipsoid and density visualization of GMMs.\nWe describe the mathematical backgrounds, the algorithms, and our implementation of this\ntool. Regarding GMM construction, we investigate several algorithms used in previous papers\nfor constructing GMMs for 3D-data processing tasks. We present our implementations of the\nexpectation-maximization (EM) algorithm and top-down HEM. Additionally, we have adapted\nthe implementation of geometrically regularized bottom-up HEM to produce a fixed number of\nGaussians. We evaluate these three algorithms in terms of the quality of their generated GMMs.\nIn many cases, the statistical likelihood, which is maximized by the EM algorithm, is not a\nreliable indicator for a GMM’s quality. Therefore, we instead rely on the reconstruction error of a\nreconstructed point cloud based on the Chamfer distance. Additionally, we provide metrics for\nmeasuring the reconstructed point cloud’s uniformity and the GMM’s variation of Gaussians. We\ndemonstrate that EM provides the best results in terms of these metrics. Top-down HEM is a fast\nalternative, and can produce even better results when using fewer input points. The results of\ngeometrically regularized bottom-up HEM are inferior for lower numbers of Gaussians but it can\ncreate good GMMs consisting of high numbers of Gaussians very eciently.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1380,
            "image_height": 1850,
            "name": "FRAISS-2022-CGMM-image.jpg",
            "type": "image/jpeg",
            "size": 376815,
            "path": "Publication:FRAISS-2022-CGMM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1495
        ],
        "co_supervisor": [
            1013
        ],
        "date_end": "2022-03-10",
        "date_start": "2021-01-01",
        "diploma_examina": "2022-03-10",
        "matrikelnr": "01425602",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1380,
                "image_height": 1850,
                "name": "FRAISS-2022-CGMM-image.jpg",
                "type": "image/jpeg",
                "size": 376815,
                "path": "Publication:FRAISS-2022-CGMM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "FRAISS-2022-CGMM-Master thesis.pdf",
                "type": "application/pdf",
                "size": 20842982,
                "path": "Publication:FRAISS-2022-CGMM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "FRAISS-2022-CGMM-poster.pdf",
                "type": "application/pdf",
                "size": 4483975,
                "path": "Publication:FRAISS-2022-CGMM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/FRAISS-2022-CGMM-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/FRAISS-2022-CGMM/",
        "__class": "Publication"
    },
    {
        "id": "podkosova_2022_bimflexi-vr",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "BIMFlexi-VR: A Virtual Reality Framework for Early-Stage Collaboration in Flexible Industrial Building Design ",
        "date": "2022-02-25",
        "abstract": "Integrated industrial building design is an interdisciplinary task, in which planning of flexible building structures requires effective communication and collaboration between all stakeholders already in early design stage. This paper presents BIMFlexi-VR, a collaborative framework which implements a real-time bidirectional link between a parametric modelling component created in Grasshopper for Rhinoceros that performs optimized structural calculations of an industrial building, and an immersive Virtual Reality environment in which the automatically calculated building is visualized. Users of BIMFlexi-VR are able to change parameters defining the outcome of the structural calculation directly inside the virtual environment and see the modified building design together with the associated fitness metrics in a matter of seconds. Providing an efficient and intuitive platform for early exploration of industrial building designs, BIMFlexi-VR enables collaborative decision making and facilitates the creation of more efficient and sustainable industrial constructions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 365,
            "image_height": 329,
            "name": "podkosova_2022_bimflexi-vr-.JPG",
            "type": "image/jpeg",
            "size": 32979,
            "path": "Publication:podkosova_2022_bimflexi-vr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1945,
            1874,
            378,
            1799
        ],
        "doi": "10.3389/frvir.2022.782169",
        "first_published": "2022-02",
        "issn": "2673-4192",
        "journal": "Frontiers in Virtual Reality",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "13",
        "volume": "3",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Virtual Reality in Industry 4.0",
            "Collaborative BIM",
            "VR in AEC"
        ],
        "weblinks": [
            {
                "href": "https://www.frontiersin.org/article/10.3389/frvir.2022.782169",
                "caption": "BimFlexi-VR",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 365,
                "image_height": 329,
                "name": "podkosova_2022_bimflexi-vr-.JPG",
                "type": "image/jpeg",
                "size": 32979,
                "path": "Publication:podkosova_2022_bimflexi-vr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/podkosova_2022_bimflexi-vr-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BimFlexi"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/podkosova_2022_bimflexi-vr/",
        "__class": "Publication"
    },
    {
        "id": "Lackner_2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating GPU-based fluid simulation with Metaball rendering",
        "date": "2022-02-02",
        "abstract": "Fluid simulation is among the most researched topics in computer graphics. This is due to the fact that realistic fluid simulations are of first importance in many fields. The scope involves special effects in movies, animation in games, engineering and medical applications. Being one of the most researched topics of the field, there is a plethora of implementations and methods that have been discussed in extensive detail. Especially modern implementations focus on harnessing the GPU’s advantage in calculating a multitude of operations at once, to create a realistic result while also maintaining solid\nperformance.\nThis bachelor’s thesis discusses fluid simulation on the GPU. More specifically, it implements a GPU-based simulation method and combines it with an implicit modelling procedure provided by my advisor, Stefan Bruckner. The goal of the thesis is thereby to provide a fast, sufficiently realistic fluid simulation and discuss its implementation, results and performance.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 769,
            "image_height": 592,
            "name": "Lackner_2022-Image.JPG",
            "type": "image/jpeg",
            "size": 36324,
            "path": "Publication:Lackner_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1917
        ],
        "date_end": "2022-02-02",
        "date_start": "2021-05-07",
        "matrikelnr": "11716989",
        "supervisor": [
            161
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Lackner_2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 4936075,
                "path": "Publication:Lackner_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 769,
                "image_height": 592,
                "name": "Lackner_2022-Image.JPG",
                "type": "image/jpeg",
                "size": 36324,
                "path": "Publication:Lackner_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/Lackner_2022-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Lackner_2022/",
        "__class": "Publication"
    },
    {
        "id": "Vasileva_2022",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/19635",
        "title": "Immersive Visual Analysis of Time-Dependent Multivariate Data Using Virtual Reality",
        "date": "2022-02-02",
        "abstract": "The prevention of Earth disasters like asteroid collisions is a high priority for many organizations and scientists. Studying possible asteroid deflection options and understanding the influencing factors should help domain experts create defense strategies and response plans. For exploration purposes, scientists typically use simulations that represent a real-world process over time and are thus an effective way for demonstrating\nan asteroid impact collision and its after-effects. In this work we use an interactive Virtual Reality (VR) visualization tool to make simulation results comprehensible. Immersive systems like VR are used in different application domains and for multiple purposes,\nsuch as entertainment, medical or military training, rehabilitation and mental therapy, visualization, and visual analytics. With the help of VR software and the necessary hardware of immersive systems, realistic images and 3D scenes from the real world can be rendered to create the feeling of full immersion and presence.\nBased on these considerations, in this work, we develop an interactive visualization tool in VR to support domain experts in studying the properties and features of asteroid impact events for defense purposes. We use time-dependent multivariate Impact simulation data. The implementation requirements are formulated together with domain experts in the form of tasks and represent the main features that the system should include.\nAs a result, the system incorporates a 3D point cloud visualization to illustrate the impact and the data structure and various exploration tools to analyze and examine the point cloud properties. The central tool in the system is called a probe, allowing to measure the characteristics of different regions, compare them, and observe state changes during simulation time. While effective exploration is the primary goal of our\nsystem, interactivity is another important factor contributing to achieving a smooth and natural experience. Therefore, we provide various grasping and navigation techniques to support an intuitive and effortless system interaction. As the selection of exploration tools is essential for the domain experts and for solving their tasks, we first evaluate our\nsystem with them to answer whether the system is providing the necessary features and is fulfilling their requirements. Another important aspect is the interactivity and usability of our system, which we evaluate through a user study. As we show in our evaluation experiments, our VR system eases the exploration process for scientists. It supports them\nin finding new and previously undiscovered properties, patterns, and trends in the data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1052,
            "image_height": 312,
            "name": "Vasileva_2022-Image.JPG",
            "type": "image/jpeg",
            "size": 62399,
            "path": "Publication:Vasileva_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1593
        ],
        "co_supervisor": [
            1387
        ],
        "date_end": "2022-02-02",
        "date_start": "2020-09-02",
        "diploma_examina": "2022-02-02",
        "matrikelnr": "01426939",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1052,
                "image_height": 312,
                "name": "Vasileva_2022-Image.JPG",
                "type": "image/jpeg",
                "size": 62399,
                "path": "Publication:Vasileva_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vasileva_2022-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 20112809,
                "path": "Publication:Vasileva_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vasileva_2022-Poster.pdf",
                "type": "application/pdf",
                "size": 3709865,
                "path": "Publication:Vasileva_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/Vasileva_2022-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Vasileva_2022/",
        "__class": "Publication"
    },
    {
        "id": "szabo_patrik-2022-tour",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tour of Life: A Game of Life Learning Experience",
        "date": "2022-02-02",
        "abstract": "Although the concept behind the Game of Life cellular automaton has been explored\ndeeply in the past, it is still difficult to find proper resources on this topic that would\nallow those with little to no experience in the field of IT to properly understand it. No\nsingular solution exists that explains the algorithm behind the automaton, lets the user\ninteract with the simulation, and provides explanations regarding the most common\nbuilding blocks of Life, all in one place. The goal of this bachelor thesis is to create\nan online learning tool, that would enable people with little computer knowledge, to\nengage with the automaton. This is done by offering a range of interactive lessons on\nthe Game of Life, together with a high degree of customizability of the simulation itself.\nAn additional goal of this project is to include a 3D interpretation of the Game of Life\nautomaton, adjusting the algorithm accordingly, allowing users to experiment with the\nadditional third dimension.\nThe Game of Life not being a fresh topic, related work has been researched and compared,\nand the results are laid out below. In addition to the developed web application, this\nthesis goes deeper in exploring the concepts of a Turing machine and Turing complete\nsystems, such as the Game of Life itself. Implementation details are presented, as well as\nideas for the future development of the so-called “Tour of Life”, and its potential features.\nThe results of this work are publicly available, the link to the Tour of Life website can be\nfound at the end of this thesis",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1262,
            "image_height": 881,
            "name": "szabo_patrik-2022-tour-.png",
            "type": "image/png",
            "size": 46452,
            "path": "Publication:szabo_patrik-2022-tour",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5319
        ],
        "date_end": "2022-02",
        "date_start": "2021-09",
        "matrikelnr": "11811341",
        "supervisor": [
            166,
            1813
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1262,
                "image_height": 881,
                "name": "szabo_patrik-2022-tour-.png",
                "type": "image/png",
                "size": 46452,
                "path": "Publication:szabo_patrik-2022-tour",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "szabo_patrik-2022-tour-thesis.pdf",
                "type": "application/pdf",
                "size": 2491189,
                "path": "Publication:szabo_patrik-2022-tour",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/szabo_patrik-2022-tour-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/szabo_patrik-2022-tour/",
        "__class": "Publication"
    },
    {
        "id": "rumpelnik-2022-vlk",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Productivity Features for a C++/Vulkan Rendering Framework and Modernization of Its Code Base",
        "date": "2022-02",
        "abstract": "<p><strong>Serializer Support:</strong><br/>\nLoading resources such as large 3D models or ORCA scenes can take a long time when using ASSIMP to parse the files on every program start. The serializer saves the parsed data in a binary cache file, which is used on subsequent program executions to greatly reduce loading times.</p>\n\n<p><strong>ImGui Image Support:</strong><br/>\nImGui does not have a way to display user textures when using vulkan as a backend. A custom extension to ImGui was implemented which is nicely integrated, manages DescriptorSets and does not break for future ImGui updates.</p>\n\n<p><strong>Replacing CPPLINQ with C++Ranges:</strong><br/>\nReplaced CPPLINQ with the similar C++20 std::ranges due to license concerns and to use a standard and futureproof feature instead.</p>",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 128,
            "image_height": 128,
            "name": "rumpelnik-2022-vlk-image.webp",
            "type": "image/webp",
            "size": 4248,
            "path": "Publication:rumpelnik-2022-vlk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rumpelnik-2022-vlk/rumpelnik-2022-vlk-image.webp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/rumpelnik-2022-vlk/rumpelnik-2022-vlk-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1702
        ],
        "date_end": "2022-02",
        "date_start": "2020-10",
        "matrikelnr": "01633397",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Real-Time Rendering",
            "Vulkan",
            "C++",
            "Auto-Vk",
            "Auto-Vk-Toolkit"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit/blob/master/docs/serializer.md",
                "caption": "Serializer documentation",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 128,
                "image_height": 128,
                "name": "rumpelnik-2022-vlk-image.webp",
                "type": "image/webp",
                "size": 4248,
                "path": "Publication:rumpelnik-2022-vlk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rumpelnik-2022-vlk/rumpelnik-2022-vlk-image.webp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/rumpelnik-2022-vlk/rumpelnik-2022-vlk-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/rumpelnik-2022-vlk/",
        "__class": "Publication"
    },
    {
        "id": "horvath_imp",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improved Triangle Encoding for Cached Adaptive Tessellation",
        "date": "2022-02",
        "abstract": "Changing the vertex count of a given geometry through hardware tessellation on the GPU is limited by today’s standards. The capped edge splits (64 splits per edge) as well as increasingly worse performance with deeper levels certainly leaves room for improvement. So in the meantime, software-based solutions using GPU shaders provide much more flexibility as well as features. One possible solution, which we will be focusing on, was presented by Jad Khoury [KDR18] in 2018 which implements a tessellation cache on the GPU. This enables the tessellation step to not only reuse the data of the previous frame but also makes it adaptive by only having to calculate the changes since the last frame. The adaptive cache improves tessellation performance at the cost of memory on the GPU but their particular implementation still slows down on deeper tessellation levels because of the recursive nature of their algorithm. Our work replaces their recursive algorithm with a constant-time solution by exploiting the grid structure of their tessellated geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2447,
            "image_height": 1295,
            "name": "horvath_imp-teaser.png",
            "type": "image/png",
            "size": 2192194,
            "path": "Publication:horvath_imp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1772
        ],
        "date_end": "2022-02-07",
        "date_start": "2020-01-01",
        "matrikelnr": "01525536",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "tessellation",
            "gpu"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2447,
                "image_height": 1295,
                "name": "horvath_imp-teaser.png",
                "type": "image/png",
                "size": 2192194,
                "path": "Publication:horvath_imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "horvath_imp-thesis.pdf",
                "type": "application/pdf",
                "size": 7663547,
                "path": "Publication:horvath_imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/horvath_imp-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/horvath_imp/",
        "__class": "Publication"
    },
    {
        "id": "pernsteiner-2022-msh",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improvements and Additional Features for a Mesh Shader-Based Research Project",
        "date": "2022-02",
        "abstract": "New mesh shader graphics pipelines allow fine grained processing of input geometry which is split into small chunks of geometery---so called \"meshlets\". \nTo match geometry processing efficiency of classical shader stages (from vertex to geometry shaders), an optimized mesh shader implementation is required using the two new tightly-coupled shader stages: task shaders, and mesh shaders. Fine-grained view frustum and backface culling on a per-meshlet basis further improve performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "View Frustum Culling on a per-meshlet basis in action.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 738,
            "image_height": 737,
            "name": "pernsteiner-2022-msh-image.png",
            "type": "image/png",
            "size": 525953,
            "path": "Publication:pernsteiner-2022-msh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1795
        ],
        "date_end": "2022-02-08",
        "date_start": "2021-03-01",
        "matrikelnr": "01627767",
        "note": "\"Gawain\" 3D model (c) Unity Technologies, provided through their \"The Heretic: Digital Human\" package.",
        "supervisor": [
            848,
            1650,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Meshlets",
            "Mesh Shader",
            "Task Shader"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/",
                "caption": "paper page",
                "description": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes",
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": "Programming framework that has been used.",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "View Frustum Culling on a per-meshlet basis in action.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 738,
                "image_height": 737,
                "name": "pernsteiner-2022-msh-image.png",
                "type": "image/png",
                "size": 525953,
                "path": "Publication:pernsteiner-2022-msh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/pernsteiner-2022-msh-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/pernsteiner-2022-msh/",
        "__class": "Publication"
    },
    {
        "id": "steinschauer-2020-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Change Detection using the InfiniTAM framework",
        "date": "2022-01-24",
        "abstract": "The automated detection of changes in a 3D space can be a useful tool. [PCBS16] names\n3D surface reconstruction, environment monitoring, natural events management, and\nforensic science as possible application scenarios. In this work, we introduce software\nthat scans an area at two different points in time and detects the changes between these\nscans. The software is based on InfiniTAM [PKG+17], a framework released under an\nOxford University License. InfiniTAM integrates multiple depth images (e.g. recorded\nwith a Kinect-V2-Camera) to a 3D model using volumetric representations. Because of\nthe volumetric representation and the fast GPU computation, the change detection can\nhappen in real-time. This is outstanding because in other approaches, (like [PCBS16])\nthe change detection can take minutes. Other approaches that detect changes in real-time\n(like [KMK+19]) use the same representation of data (T-SDF) as we do. Our approach\nalso takes sensor tolerance into account, which leads to a reduction of false change\ndetections. This work can be seen as a starting point for more specific use cases (like\n[LTW+21]) who specify on scene change detection and overcoming unnecessary changes\nsuch as light and seasons.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1065,
            "image_height": 628,
            "name": "steinschauer-2020-baa-image.png",
            "type": "image/png",
            "size": 679657,
            "path": "Publication:steinschauer-2020-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1755
        ],
        "date_end": "2022-01-24",
        "date_start": "2020-03-23",
        "matrikelnr": "01426150",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "change detection",
            "uncertainty",
            "3d scanning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinschauer-2020-baa-bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 1772406,
                "path": "Publication:steinschauer-2020-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1065,
                "image_height": 628,
                "name": "steinschauer-2020-baa-image.png",
                "type": "image/png",
                "size": 679657,
                "path": "Publication:steinschauer-2020-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/steinschauer-2020-baa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/steinschauer-2020-baa/",
        "__class": "Publication"
    },
    {
        "id": "kouril_2022_paper",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "How to ACTUALLY write papers",
        "date": "2022-01-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 419,
            "image_height": 342,
            "name": "kouril_2022_paper-.JPG",
            "type": "image/jpeg",
            "size": 42330,
            "path": "Publication:kouril_2022_paper",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383
        ],
        "event": "VisOB",
        "location": "Vienna",
        "open_access": "yes",
        "research_areas": [],
        "keywords": [
            "Paper Writing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 419,
                "image_height": 342,
                "name": "kouril_2022_paper-.JPG",
                "type": "image/jpeg",
                "size": 42330,
                "path": "Publication:kouril_2022_paper",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril_2022_paper-Slides.pdf",
                "type": "application/pdf",
                "size": 25887857,
                "path": "Publication:kouril_2022_paper",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Slides:thumb{{size}}.png"
            },
            {
                "description": "Recorded Talk",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril_2022_paper-Video.mp4",
                "type": "video/mp4",
                "size": 521416743,
                "path": "Publication:kouril_2022_paper",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/kouril_2022_paper-Video:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/kouril_2022_paper/",
        "__class": "Publication"
    },
    {
        "id": "Pauschenwein_2022",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Collision Detection and Handling of Molecules for Animation and Modelling",
        "date": "2022-01-11",
        "abstract": "The molecular world is an exciting field of science. Since technology has advanced it is finally possible to discover the arrangements of the single atoms in molecules. With this data, complex systems like viruses, bacteria and cells, made out of millions of atoms can be modeled. Such systems are often called biological mesoscale structures and many visualization techniques have been developed to model them. This is not an easy task as such systems are very complex and need a lot of processing time to render. An essential part of the visualization is the collision detection and resolving as in the real world molecules do not overlap. We reimplemented the Fast Fixed-Radius Nearest Neighbors\nalgorithm that was designed by Hoetzlein to find all colliding pairs of atoms, calculated forces which are then applied on the molecules in order to resolve the overlaps. To test this method we constructed a model of a lipid bilayer and found that it was able to resolve\ncollisions with up to four million atoms in real time. We reviewed further improvements of our algorithm and are positive that it can be used as a efficient collision detection for mesoscale environments.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1774,
            "image_height": 894,
            "name": "Pauschenwein_2022-Image.jpg",
            "type": "image/jpeg",
            "size": 381206,
            "path": "Publication:Pauschenwein_2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1915
        ],
        "date_end": "2022-01-11",
        "date_start": "2021-06-01",
        "matrikelnr": "01427350",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pauschenwein_2022-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 6828703,
                "path": "Publication:Pauschenwein_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1774,
                "image_height": 894,
                "name": "Pauschenwein_2022-Image.jpg",
                "type": "image/jpeg",
                "size": 381206,
                "path": "Publication:Pauschenwein_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pauschenwein_2022-Video.mp4",
                "type": "video/mp4",
                "size": 15305391,
                "path": "Publication:Pauschenwein_2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/Pauschenwein_2022-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Pauschenwein_2022/",
        "__class": "Publication"
    },
    {
        "id": "lee-2022-p",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/175618",
        "title": "Preface",
        "date": "2022-01-01",
        "abstract": "This February 2022 issue of the IEEE Transactions on Visualization and Computer Graphics (TVCG) contains the proceedings of IEEE VIS 2021, held online on October 24-29, 2021, with General Chairs from Tulane University and Universidade de Sao Paulo. With IEEE VIS 2021, the conference series is in its 32nd year.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1453,
            966,
            1186,
            5243,
            5244,
            5245,
            5246,
            5247,
            166,
            1476,
            563,
            5248,
            5249,
            5250,
            5251,
            1527,
            5252,
            5253
        ],
        "doi": "10.1109/TVCG.2021.3114891",
        "issn": "1941-0506",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "1",
        "pages": "10",
        "pages_from": "xiv",
        "pages_to": "xxiii",
        "publisher": "Institute of Electrical and Electronics Engineers (IEEE)",
        "volume": "28",
        "research_areas": [],
        "keywords": [
            "visualization",
            "visual analytics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/lee-2022-p/",
        "__class": "Publication"
    },
    {
        "id": "ilcikova-thesis",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evolution Prediction of Animated Shapes",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1256
        ],
        "date_end": "2016",
        "date_start": "2012",
        "duration": "2012 - 2016 (est.)",
        "supervisor": [
            1335
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ilcikova-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Jia-thesis",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1558
        ],
        "date_start": "2018",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/Jia-thesis/",
        "__class": "Publication"
    },
    {
        "id": "louis-alexandre_dit_petit-frere-2022-veo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/80545",
        "title": "Visual Exploration of Indirect Biases in Natural Language Processing Transformer Models",
        "date": "2022",
        "abstract": "In recent years, the importance of Natural Language Processing has been increasing with more and more fields of application. The word representations, such as word embedding or transformer models, used to transcribe the language are trained using large text corpora that may include stereotypes. These stereotypes may be learned by Natural Language Processing algorithms and lead to biases in their results. Extensive research has been performed on the detection, repair and visualization of the biases in the field of Natural Language Processing. Nevertheless, the methods developed so far mostly focus on word embeddings, or direct and binary biases.To fill the research gap regarding multi-class indirect biases learned by transformer models, this thesis proposes new visualisation interfaces to explore indirect and multi-class biases learned by BERT and XLNet models. These visualisations are based on an indirect quantitative method to measure the potential biases encapsulated in transformer models, the Indirect Logarithmic Probability Bias Score. This metric is adapted from an existing one, to enable the investigation of indirect biases. The evaluation of our new indirect method shows that it enables to reveal known biases and to discover new insights which could not be found using the direct method. Moreover, the user study performed on our visualization interfaces demonstrates that the visualizations supports the exploration of multi-class indirect biases, even though improvements may be needed to fully assist the investigation of the sources of the biases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 959,
            "image_height": 253,
            "name": "louis-alexandre_dit_petit-frere-2022-veo-teaser.png",
            "type": "image/png",
            "size": 23473,
            "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5211
        ],
        "date_end": "2022-11",
        "date_start": "2022-01",
        "diploma_examina": "2022-11-21",
        "doi": "10.34726/hss.2022.99921",
        "matrikelnr": "12024728",
        "open_access": "yes",
        "pages": "134",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual exploration",
            "visual analytics",
            "natural language processing",
            "bias",
            "transformer models"
        ],
        "weblinks": [
            {
                "href": "https://judith-la.github.io/IndirectBiasTransformerModels/Visualization1/Indirect_Biases_Exploration_Vis1.html",
                "caption": "Table View",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://judith-la.github.io/IndirectBiasTransformerModels/Visualization2/Indirect_Biases_Exploration_Vis2.html",
                "caption": "Scatterplot",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "louis-alexandre_dit_petit-frere-2022-veo-Master thesis.pdf",
                "type": "application/pdf",
                "size": 3034845,
                "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 959,
                "image_height": 253,
                "name": "louis-alexandre_dit_petit-frere-2022-veo-teaser.png",
                "type": "image/png",
                "size": 23473,
                "path": "Publication:louis-alexandre_dit_petit-frere-2022-veo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/louis-alexandre_dit_petit-frere-2022-veo-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/louis-alexandre_dit_petit-frere-2022-veo/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger-2022-e2t",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/153676",
        "title": "ECCV 2022 Tutorial on Outline and Shape Reconstruction in 2D",
        "date": "2022",
        "abstract": "Outline and shape reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. This multitude of reconstruction methods with quite different strengths and focus makes it a difficult task for users to choose a suitable algorithm for their specific problem. In this tutorial, we present proximity graphs, graph-based algorithms, algorithms with sampling guarantees, all in detail. Then, we show algorithms targeted at specific problem classes, such as reconstructing from noise, outliers, or sharp corners. Examples of the evaluation will show how its results can guide users to select an appropriate algorithm for their input data. As a special application, we show reconstruction of lines from sketches that can intersect themselves. Shape characterization of dot patterns will be shown as an additional field closely related to boundary reconstruction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1825,
            1828
        ],
        "date_from": "22-10-23",
        "date_to": "22-10-27",
        "event": "ECCV 2022",
        "lecturer": [
            948,
            1825,
            1828
        ],
        "location": "Tel Aviv",
        "research_areas": [],
        "keywords": [
            "outline shape reconstruction"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/ohrhallinger-2022-e2t/",
        "__class": "Publication"
    },
    {
        "id": "grammatikaki-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1937
        ],
        "date_end": "2025",
        "date_start": "2022",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/grammatikaki-thesis/",
        "__class": "Publication"
    },
    {
        "id": "schedl-thesis",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Depth-of-field in computer renderings",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            980
        ],
        "date_end": "2014",
        "date_start": "2011-12",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/schedl-thesis/",
        "__class": "Publication"
    },
    {
        "id": "STREICHER-2022-DSLS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/78119",
        "title": "Digital Surveying of Large Scale Multi-Layered Terrain",
        "date": "2022",
        "abstract": "Digital terrain surveying is the exploration of terrain reconstructions and quantitative analysis of their properties. Out-of-core techniques, such as terrain streaming, are required to perform surveying on large-scale terrains at interactive frame-rates.The polyline based surveying tool from PRo3D, one of the state-of-the-art solutions for planetary geology, was implemented in our tool Visionary. In PRo3D the polylines are subsampled using fixed-rate subsampling (FRSS) at equidistant points. Our method uses variable-rate subsampling (VRSS) and shared-edge detection (SED) as an improvement that finds exact results when neighbouring primitives are hit. Furthermore, an uncertainty metric On-Data Ratio (ODR) was presented to raise awareness about the uncertainty of these measurements. Visionary was developed in the Unity game engine to evaluate if it is a suitable framework for such a specialized tool. We evaluated our implementation against Pro3D.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 362,
            "image_height": 224,
            "name": "STREICHER-2022-DSLS-image.png",
            "type": "image/png",
            "size": 96771,
            "path": "Publication:STREICHER-2022-DSLS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1105
        ],
        "co_supervisor": [
            237
        ],
        "date_end": "2022-10-11",
        "date_start": "2016-07-16",
        "diploma_examina": "2022-10-11",
        "doi": "10.34726/hss.2022.99963",
        "matrikelnr": "01025890",
        "open_access": "yes",
        "pages": "112",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "out-of-core",
            "digital terrain surveying",
            "large-scale terrain streaming",
            "uncertainty"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 362,
                "image_height": 224,
                "name": "STREICHER-2022-DSLS-image.png",
                "type": "image/png",
                "size": 96771,
                "path": "Publication:STREICHER-2022-DSLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STREICHER-2022-DSLS-Master thesis.pdf",
                "type": "application/pdf",
                "size": 17831518,
                "path": "Publication:STREICHER-2022-DSLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STREICHER-2022-DSLS-poster.pdf",
                "type": "application/pdf",
                "size": 1272458,
                "path": "Publication:STREICHER-2022-DSLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/STREICHER-2022-DSLS-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/STREICHER-2022-DSLS/",
        "__class": "Publication"
    },
    {
        "id": "sturn-thesis",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improve landcover data through games",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            909
        ],
        "date_start": "2011-02",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/sturn-thesis/",
        "__class": "Publication"
    },
    {
        "id": "wang-sukalia-2022-mom",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/20243",
        "title": "Many-Objective Optimization for Maximum Flexibility in Industrial Building Design",
        "date": "2022",
        "abstract": "Industrial buildings often have a very short lifespan due to inflexible design of load bearing structures. Frequently changing production processes often lead to demolition of industrial buildings because these buildings cannot be adapted to the new requirements. This work is part of the BIMFlexi project, whose goal is to develop an integrated Building Information Modeling (BIM) based platform to connect all stakeholders in a building planning process to design flexible and sustainable industrial buildings. In this work a many-objective optimization tool is presented to support decision makers during the design phase. The tool is built on top of a parametric framework for load bearing structure generation. By presenting multiple optimized load bearing structures with different properties decision makers can make informed decisions about trade-offs between cost, environmental impacts and flexibility of a load bearing structure. The tool has been studied in two different ways. A user study was conducted to verify its usabilityand usefulness. A second study compared three different evolutionary algorithms to find the best fitting algorithm for industrial building optimization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 461,
            "image_height": 410,
            "name": "wang-sukalia-2022-mom-.JPG",
            "type": "image/jpeg",
            "size": 34096,
            "path": "Publication:wang-sukalia-2022-mom",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1876
        ],
        "doi": "10.34726/hss.2022.80767",
        "open_access": "yes",
        "pages": "75",
        "supervisor": [
            378
        ],
        "research_areas": [],
        "keywords": [
            "Many-objective optimization",
            "Multi-objective optimization",
            "Evolutionary algorithm",
            "Automated structural layout generation",
            "Integrated industrial building design",
            "Flexible industrial building"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 461,
                "image_height": 410,
                "name": "wang-sukalia-2022-mom-.JPG",
                "type": "image/jpeg",
                "size": 34096,
                "path": "Publication:wang-sukalia-2022-mom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wang-sukalia-2022-mom-Master thesis.pdf",
                "type": "application/pdf",
                "size": 2808088,
                "path": "Publication:wang-sukalia-2022-mom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/wang-sukalia-2022-mom-Master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wang-sukalia-2022-mom/",
        "__class": "Publication"
    },
    {
        "id": "wissmann-2022-alb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/139145",
        "title": "Anatomy-Driven Layouting for Brain Network Visualization",
        "date": "2022",
        "abstract": "Technological advances have dramatically expanded our ability to collect data of neural connectivity in the brain and apply this data in the field of connectomics. The focus of research is thus increasingly shifting towards the analysis of this complex data. Many applications visualize neurological data in three-dimensional space. However, these require interactivity to view hidden data and are not always applicable. To support neuroscientific research we present Spatial-Data-Driven Layouts, a novel web-tool to visualize neuronal networks of multiple species in two-dimensional space. Our method is data-driven and is therefore independent of species or perspective. We generate node-link diagrams where nodes represent brain regions, while the edges correspond the connectivity. To realize this data-driven approach we apply Parcellation-derived Connectivity, generated from brain atlases in combination with a standard force-directed graph layout algorithm. We provide further guidance by visually encoding anatomical context of the underlying brain hierarchy. Colored parcellations in the background encapsulate and cluster nodes that belong to the same super-regions. Additionally the background provides an overall shape, similar to the brain and is independent of the graph’s completeness, facilitating the comparison of sub-networks with each other as well as with the entire network. The background is customizable in terms of anatomical details to reflect either the anatomical size or the number of connections per region.We conduct case studies for two species, mouse and human, to validate our visualizations and show that the spatial distribution of nodes reflects the anatomy of the brain. Nodes are adjacent to each other if they also represent neighboring regions in the reference space.The results provided by Spatial-Data-Driven Layouts are evaluated in a web-based user study involving domain experts in neuroscience, computer science, computational science, bioinformatics, and computational biology. Evaluating the studies for two different species, mouse and human, shows that our methodology can be applied data-driven and species-independent. The feedback obtained from the experts indicates clear potential.Spatial-Data-Driven Layouts quickly and easily recreate illustrations in literature that usually are created with a great deal of effort. Added context in sub-networks to preserve the overall shape of the brain and to make those networks comparable to each other, wasconsidered very useful. Spatial-Data-Driven Layouts is a novelty in the visualization of neuronal circuits of the Drosophila melanogaster larval brain and considered a first good step in this direction.In the future, we plan to extend the application with interactivity to provide neuroscientists with an intuitive representation of their data. The customization of brain regions, connectivity, as well as details of the layout via parameters, can be adapted to their interests. In addition, we aim to improve neuron-level visualization and visual encoding of the Drosophila larval network graphs to provide a more detailed representation of circuits.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 602,
            "image_height": 582,
            "name": "wissmann-2022-alb-.JPG",
            "type": "image/jpeg",
            "size": 69171,
            "path": "Publication:wissmann-2022-alb",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1929
        ],
        "doi": "10.34726/hss.2022.78887",
        "open_access": "yes",
        "pages": "125",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "brain connectivity visualization",
            "Node-Link Diagram"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 602,
                "image_height": 582,
                "name": "wissmann-2022-alb-.JPG",
                "type": "image/jpeg",
                "size": 69171,
                "path": "Publication:wissmann-2022-alb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wissmann-2022-alb-Master thesis.pdf",
                "type": "application/pdf",
                "size": 6503368,
                "path": "Publication:wissmann-2022-alb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "wissmann-2022-alb-Poster.pdf",
                "type": "application/pdf",
                "size": 607510,
                "path": "Publication:wissmann-2022-alb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/wissmann-2022-alb-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/wissmann-2022-alb/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2022",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2022",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Front",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1534,
            "image_height": 1024,
            "name": "xmas-2022-Front.png",
            "type": "image/png",
            "size": 2938708,
            "path": "Publication:xmas-2022",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5201,
            5223
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2022-Card.pdf",
                "type": "application/pdf",
                "size": 2413291,
                "path": "Publication:xmas-2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Front",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1534,
                "image_height": 1024,
                "name": "xmas-2022-Front.png",
                "type": "image/png",
                "size": 2938708,
                "path": "Publication:xmas-2022",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/xmas-2022-Front:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/xmas-2022/",
        "__class": "Publication"
    },
    {
        "id": "arikan-thesis",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            865
        ],
        "date_end": "2013",
        "date_start": "2010-07",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/arikan-thesis/",
        "__class": "Publication"
    },
    {
        "id": "batik-2022-smm",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/150317",
        "title": "Shape-Guided Mixed Metro Map Layout",
        "date": "2022",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1830,
            5227,
            1877,
            1579,
            1464
        ],
        "booktitle": "Pacific Graphics 2022",
        "cfp": {
            "name": "Pacific Graphics 2022.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "11677429",
            "orig_name": "Pacific Graphics 2022.pdf",
            "ext": "pdf"
        },
        "date_from": "2022-10-05",
        "date_to": "2022-10-08",
        "doi": "10.1111/cgf.14695",
        "event": "30th Pacific Conference on Computer Graphics and Applications",
        "lecturer": [
            1830
        ],
        "location": "Kyoto",
        "pages": "12",
        "pages_from": "495",
        "pages_to": "506",
        "publisher": "The Eurographics Association and John Wiley & Sons Ltd.",
        "volume": "41",
        "research_areas": [],
        "keywords": [
            "HCAE",
            "mixed metro maps problem",
            "design criteria",
            "optimization paradigm"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/batik-2022-smm/",
        "__class": "Publication"
    },
    {
        "id": "bayat-2022-mva",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/139147",
        "title": "Multi-faceted Visual Analysis of Inter-Observer Variability",
        "date": "2022",
        "abstract": "Despite the advancements in auto-segmentation tools, manual delineation is still necessary in the medical field. For example, tumor segmentation is a crucial step in cancer radiotherapy and is still widely performed by hand by experienced radiologists. However, the opinions of experienced radiologists might differ, for a multitude of reasons. In this work, we visualize the variability originating from multiple experts delineating medical scans of the same patient, known as inter-observer variability.The novelty of this work consists of capturing the process of segmenting a target object. The focus lies in gaining insight into the observer’s thought processes and reasoning strategies. To investigate these aspects of segmenting we conduct a data acquisitionwith novice users and experts, capturing their thoughts in a think-aloud protocol and their areas of attention by tracking their mouse-movement during the segmentation process. This data is visualized with our Multi Observer Looking Environment (MOLE).MOLE allows to gain deep insight into the observers’ segmentation process and enables to compare different segmentation outcomes and how these occurred. With our proposed visualization techniques we emphasize regions of uncertainty that need more attention when delineating. Additionally, relevant keywords are extracted from the think-aloud protocol and aligned with the positions in the segmentation, providing information about the thought process of an observer. We link the initial image to a three-dimensional representation of the delineations and provide more details of the think-aloud protocol on demand.Our approach is universal to segmentation, attention and thought process data regardless of the domain of the data. We show how MOLE can be used with a medical dataset as well as an artificially created dataset. By validating our approach with the help of a medical expert actively working in the field, we define potential use cases in the existing pipeline of tumor delineation for cancer treatment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 783,
            "image_height": 536,
            "name": "bayat-2022-mva-teaser.jpg",
            "type": "image/jpeg",
            "size": 91325,
            "path": "Publication:bayat-2022-mva",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1693
        ],
        "co_supervisor": [
            1410
        ],
        "date_end": "2022-12",
        "date_start": "2022-03",
        "diploma_examina": "2023-01-16",
        "doi": "10.34726/hss.2022.105180",
        "matrikelnr": "01614855",
        "open_access": "yes",
        "pages": "145",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "medical visualization",
            "uncertainty",
            "inter-observer variability",
            "data acquisition",
            "segmentation",
            "manual delineation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bayat-2022-mva-Master thesis.pdf",
                "type": "application/pdf",
                "size": 4821903,
                "path": "Publication:bayat-2022-mva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 783,
                "image_height": 536,
                "name": "bayat-2022-mva-teaser.jpg",
                "type": "image/jpeg",
                "size": 91325,
                "path": "Publication:bayat-2022-mva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/bayat-2022-mva-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/bayat-2022-mva/",
        "__class": "Publication"
    },
    {
        "id": "boeroendy-2022-uio",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/175674",
        "title": "Understanding the impact of statistical and machine learning choices on predictive models for radiotherapy",
        "date": "2022",
        "abstract": "During radiotherapy (RT) planning, an accurate description of the location and shape of the pelvic organs is a critical factor for the successful treatment of the patient. Yet, during treatment, the pelvis anatomy may differ significantly from the planning phase. A series of recent publications, such as PREVIS [FMCM∗21], have examined alternative approaches to analyzing and predicting pelvic organ variability of individual patients. These approaches are based on a combination of several statistical and machine learning methods, which have not been thoroughly and quantitatively evaluated within the scope of pelvic anatomical variability. Several of their design decisions could have an impact on the outcome of the predictive model. The goal of this work is to assess the impact of alternative choices, focusing mainly on the two key-aspects of shape description and clustering, to generate better predictions for new patients. The results of our assessment indicate that resolution-based descriptors provide more accurate and reliable organ representations than state-of-the-art approaches, while different clustering settings (distance metric and linkage) yield only slightly different clusters. Different clustering methods are able to provide comparable results, although when more shape variability is considered their results start to deviate. These results are valuable for understanding the impact of statistical and machine learning choices on the outcomes of predictive models for anatomical variability.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "keywords,projects",
        "repositum_presentation_id": null,
        "authors": [
            5187,
            1733,
            1410
        ],
        "booktitle": "VCBM 2022: Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2022-09-22",
        "date_to": "2022-09-23",
        "doi": "10.2312/vcbm.20221188",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2022)",
        "isbn": "978-3-03868-177-9",
        "lecturer": [
            5187
        ],
        "location": "Wien",
        "open_access": "yes",
        "pages": "5",
        "pages_from": "65",
        "pages_to": "69",
        "publisher": "The Eurographics Association",
        "volume": "2022",
        "research_areas": [],
        "keywords": [
            "Human-centered computing",
            "Visual Analytics",
            "Life and medical sciences",
            "Applied computing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "boeroendy-2022-uio-paper.pdf",
                "type": "application/pdf",
                "size": 5235751,
                "path": "Publication:boeroendy-2022-uio",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/boeroendy-2022-uio-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/boeroendy-2022-uio-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/boeroendy-2022-uio/",
        "__class": "Publication"
    },
    {
        "id": "chung-2022-sma",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/19642",
        "title": "Statistical methodologies for assessing an artificial intelligence (AI) software in a diagnostic setting",
        "date": "2022",
        "abstract": "The radiological determination of bone age (BA) from a left-hand x-ray continues to be the reference standard for skeletal maturity assessment related to short or long stature, and underlying conditions. Artificial (AI) algorithms are becoming more prevalent due to the subjectivity and time-consuming nature of BA assessment. Therefore, we proposed methods and statistical recommendations in assessing standalone performance of an AI tool. Our strategy was verified in a retrospective study using the AI model, PANDA, a fully automated AI software used to estimate bone age (BA) on hand radiographs. We analyzed radiographs of 342 patients retrospectively. Three board-certified pediatric radiologists made blind reads of BA using the Greulich & Pyle (GP) method independently. The AI-software, PANDA, was subsequently used to provide automated estimations of BA from the same set of images. The ground truth was established based on the mean of the estimations. We assessed agreement of AI with readers based on comparison of Bland-Altman limits of agreement (LOA), orthogonal linear regression, and interchangeability.Bland-Altman assessment displayed a mean difference between readers and AI to be -0.72 with 95% CI (-1.46; 0.02) months displaying no fixed bias. Using orthogonal linear regression, the slope between readers and AI software was reported to be 1.02 95% CI (1.00, 1.03). No proportional bias was observed. The square root of the absolute value of the equivalence index of the AI software compared to assessments made by readers was observed to be -5.8 months. This indicates that the AI software is interchangeable with expert readers. The proposed framework is generalizable to the other applications aside from bone age. If one wants to find bias between two techniques of measurement, regression analysis should be performed. If the purpose is to see if one method may be safely replaced by another, especially in clinical practice, Bland-Altman plot is preferred. If there is no adequate reference standard to compare to, interchangeability can be used. This statistical method does not rely on a reference standard.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 556,
            "image_height": 386,
            "name": "chung-2022-sma-.JPG",
            "type": "image/jpeg",
            "size": 27043,
            "path": "Publication:chung-2022-sma",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5212
        ],
        "doi": "10.34726/hss.2022.89767",
        "open_access": "yes",
        "pages": "97",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [
            "artificial intelligence",
            "statistical methodologies",
            "performance assessment",
            "continuous variable",
            "bland-altman",
            "interchangeability"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 556,
                "image_height": 386,
                "name": "chung-2022-sma-.JPG",
                "type": "image/jpeg",
                "size": 27043,
                "path": "Publication:chung-2022-sma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "chung-2022-sma-Master thesis.pdf",
                "type": "application/pdf",
                "size": 2014753,
                "path": "Publication:chung-2022-sma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/chung-2022-sma-Master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/chung-2022-sma/",
        "__class": "Publication"
    },
    {
        "id": "eichner-2022-music",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/196494",
        "title": "MuSIC: Multi-sequential interactive co-registration for cancer imaging data based on segmentation masks",
        "date": "2022",
        "abstract": "In gynecologic cancer imaging, multiple magnetic resonance imaging (MRI) sequences are acquired per patient to reveal different tissue characteristics. However, after image acquisition, the anatomical structures can be misaligned in the various sequences due to changing patient location in the scanner and organ movements. The co-registration process aims to align the sequences to allow for multi-sequential tumor imaging analysis. However, automatic co-registration often leads to unsatisfying results. To address this problem, we propose the web-based application MuSIC (Multi-Sequential Interactive Co-registration). The approach allows medical experts to co-register multiple sequences simultaneously based on a pre-defined segmentation mask generated for one of the sequences. Our contributions lie in our proposed workflow. First, a shape matching algorithm based on dual annealing searches for the tumor position in each sequence. The user can then interactively adapt the proposed segmentation positions if needed. During this procedure, we include a multi-modal magic lens visualization for visual quality assessment. Then, we register the volumes based on the segmentation mask positions. We allow for both rigid and deformable registration. Finally, we conducted a usability analysis with seven medical and machine learning experts to verify the utility of our approach. Our participants highly appreciate the multi-sequential setup and see themselves using MuSIC in the future.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1934,
            1345,
            5343,
            5344,
            5345,
            166,
            161,
            5346
        ],
        "booktitle": "VCBM 2022 : Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2022-09-22",
        "date_to": "2022-09-23",
        "doi": "10.2312/vcbm.20221190",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2022)",
        "isbn": "978-3-03868-177-9",
        "lecturer": [
            166
        ],
        "location": "Wien",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "81",
        "pages_to": "91",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Visual Computing",
            "Multi-Modal Segmentation",
            "Registration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eichner-2022-music-paper.pdf",
                "type": "application/pdf",
                "size": 4905969,
                "path": "Publication:eichner-2022-music",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/eichner-2022-music-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/eichner-2022-music-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2022/eichner-2022-music/",
        "__class": "Publication"
    },
    {
        "id": "Woschizka_2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Reference-Frame Computation for Observer-Relative Flow Visualization",
        "date": "2021-12-23",
        "abstract": "Scientists and engineers from many domains work with fluid simulation and visualization. These tools help to understand physical phenomena like vortices that occur as weather phenomena, in ocean currents and in aerodynamics. The visualization of flow fields\nprofits from advanced concepts like observer relativity. Existing interactive frameworks for observer-relative visualization need to pre-process the flow data to obtain meaningful reference frames. This pre-processing task is computationally expensive and potentially time consuming for large data sets. In this thesis a method without pre-processing is proposed. Starting at a user specified location we iterate the optimization of the observer field in a small subset of the data, and the integration of the observer worldline to find the next start location. The visualization of the observed pathlines is interleaved with the observer-calculation. The combination of progressive buildup, as well as low-level optimization techniques like caching, prediction, and parallelization, provides an algorithm that visualizes observer-relative flow interactively without the need of pre-processing.\nThe avoidance of pre-processing makes this technique suitable for in-situ scenarios, and for the exploration of the parameter space of optimization techniques that are needed to compute reference-frame candidates. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 383,
            "image_height": 244,
            "name": "Woschizka_2021-image.PNG",
            "type": "image/png",
            "size": 44639,
            "path": "Publication:Woschizka_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1903
        ],
        "date_end": "2021-12-23",
        "date_start": "2021-02-12",
        "matrikelnr": "11809612",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor theses",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Woschizka_2021-Bachelor theses.pdf",
                "type": "application/pdf",
                "size": 19966871,
                "path": "Publication:Woschizka_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-Bachelor theses:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 383,
                "image_height": 244,
                "name": "Woschizka_2021-image.PNG",
                "type": "image/png",
                "size": 44639,
                "path": "Publication:Woschizka_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/Woschizka_2021-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Woschizka_2021/",
        "__class": "Publication"
    },
    {
        "id": "Alharbi_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300116,
        "repositum_id": "20.500.12708/138522",
        "title": "Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments",
        "date": "2021-12-09",
        "abstract": "Immersive virtual reality environments are gaining popularity for studying and exploring crowded three-dimensional structures. When reaching very high structural densities, the natural depiction of the scene produces impenetrable clutter and requires visibility and occlusion management strategies for exploration and orientation. Strategies developed to address the crowdedness in desktop applications, however, inhibit the feeling of immersion. They result in nonimmersive, desktop-style outside-in viewing in virtual reality. This paper proposesNanotilus---a new visibility and guidance approach for very dense environments that generates an endoscopic inside-out experience instead of outside-in viewing, preserving the immersive aspect of virtual reality. The approach consists of two novel, tightly coupled mechanisms that control scene sparsification simultaneously with camera path planning. The sparsification strategy is localized around the camera and is realized as a multiscale, multishell, variety-preserving technique. When Nanotilus dives into the structures to capture internal details residing on multiple scales, it guides the camera using depth-based path planning. In addition to sparsification and path planning, we complete the tour generation with an animation controller, textual annotation, and text-to-visualization conversion. We demonstrate the generated guided tours on mesoscopic biological models -- SARS-CoV-2 and HIV viruses. We evaluate the Nanotilus experience with a baseline outside-in sparsification and navigational technique in a formal user study with 29 participants. While users can maintain a better overview using the outside-in sparsification, the study confirms our hypothesis that Nanotilus leads to stronger engagement and immersion.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 540,
            "image_height": 273,
            "name": "Alharbi_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 46269,
            "path": "Publication:Alharbi_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1791,
            1789,
            1577,
            1110,
            1383,
            1891,
            1285,
            166,
            171
        ],
        "doi": "10.1109/TVCG.2021.3133592",
        "first_published": "2021-12-09",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "16",
        "research_areas": [
            "BioVis",
            "IllVis",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 540,
                "image_height": 273,
                "name": "Alharbi_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 46269,
                "path": "Publication:Alharbi_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Alharbi_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 14837965,
                "path": "Publication:Alharbi_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/Alharbi_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Alharbi_2021/",
        "__class": "Publication"
    },
    {
        "id": "Gall2021",
        "type_id": "inproceedings",
        "tu_id": 300119,
        "repositum_id": "20.500.12708/58609",
        "title": "ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing",
        "date": "2021-12-08",
        "abstract": "An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysis of fiber-reinforced polymers (FRPs) is currently a time-consuming and cognitively demanding task, as FRPs have a complex spatial structure, consisting of several hundred thousand fibers, each having more than twenty different extracted features. This paper presents ImNDT, a novel visualization system, which offers material experts an immersive exploration of multidimensional secondary data of FRPs. Our system is based on a virtual reality (VR) head-mounted device (HMD) to enable fluid and natural explorations through embodied navigation, the avoidance of menus, and manual mode switching. We developed immersive visualization and interaction methods tailored to the characterization of FRPs, such as a Model in Miniature, a similarity network, and a histo-book. An evaluation of our techniques with domain experts showed advantages in discovering structural patterns and similarities. Especially novices can strongly benefit from our intuitive representation and spatial rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 530,
            "image_height": 372,
            "name": "Gall2021-Image.JPG",
            "type": "image/jpeg",
            "size": 41905,
            "path": "Publication:Gall2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1355,
            166,
            611
        ],
        "booktitle": "Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology",
        "cfp": {
            "name": "CfP VRST 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "94330",
            "orig_name": "CfP VRST 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.1145/3489849.3489851",
        "event": "27th ACM Symposium on Virtual Reality Software and Technology",
        "open_access": "yes",
        "pages": "11",
        "pages_from": "1",
        "pages_to": "11",
        "publisher": "ACM Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 530,
                "image_height": 372,
                "name": "Gall2021-Image.JPG",
                "type": "image/jpeg",
                "size": 41905,
                "path": "Publication:Gall2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gall2021-Paper.pdf",
                "type": "application/pdf",
                "size": 5992354,
                "path": "Publication:Gall2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/Gall2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gall2021/",
        "__class": "Publication"
    },
    {
        "id": "Groller_2021-12-03",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ask Me Anything",
        "date": "2021-12-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Visual Computing Forum",
        "location": "University of Bergen, Norway",
        "open_access": "no",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vis.uib.no/events/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groller_2021-12-03/",
        "__class": "Publication"
    },
    {
        "id": "bhore-2021-issac",
        "type_id": "inproceedings",
        "tu_id": 299975,
        "repositum_id": "20.500.12708/55639",
        "title": "Untangling Circular Drawings: Algorithms and Complexity",
        "date": "2021-12",
        "abstract": "We consider the problem of untangling a given (non-planar) straight-line circular drawing δG of an\r\nouterplanar graph G = (V,E) into a planar straight-line circular drawing by shifting a minimum\r\nnumber of vertices to a new position on the circle. For an outerplanar graph G, it is clear that such\r\na crossing-free circular drawing always exists and we define the circular shifting number shift◦(δG)\r\nas the minimum number of vertices that need to be shifted to resolve all crossings of δG. We show\r\nthat the problem Circular Untangling, asking whether shift◦(δG) ≤ K for a given integer K,\r\nis NP-complete. Based on this result we study Circular Untangling for almost-planar circular\r\ndrawings, in which a single edge is involved in all the crossings. In this case we provide a tight upper\r\nbound shift◦(δG) ≤ ⌊n2\r\n⌋ − 1, where n is the number of vertices in G, and present a polynomial-time\r\nalgorithm to compute the circular shifting number of almost-planar drawings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1878,
            1698,
            1579,
            1879,
            1464
        ],
        "booktitle": "Proceedings of the 32nd International Symposium on Algorithms and Computation",
        "cfp": {
            "name": "ISAAC 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "66412",
            "orig_name": "ISAAC 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.4230/LIPIcs.ISAAC.2021.19",
        "event": "The 32nd International Symposium on Algorithms and Computation",
        "lecturer": [
            1698
        ],
        "pages": "17",
        "pages_from": "1",
        "pages_to": "17",
        "publisher": "LIPICS",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bhore-2021-issac-paper.pdf",
                "type": "application/pdf",
                "size": 1149414,
                "path": "Publication:bhore-2021-issac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/bhore-2021-issac-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bhore-2021-issac/",
        "__class": "Publication"
    },
    {
        "id": "bugnar-esk-2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploratory Search Interface for Knowledge Databases",
        "date": "2021-12",
        "abstract": "Visualization has always been a powerful tool to effectively convey knowledge and\ninformation. It has also gained attention in the context of search, in particular for newer\nvisualization techniques like “Multifaceted Search” and “Exploratory Search”. There are\ncurrently many tools and websites that still rely on an explicit search function or an\nalphabetically ordered glossary of terms to allow users to filter and browse resources.\nThis results in many useful resources not being discovered by users because of a lack of\nproper search tools. Exploratory Search is more open-ended, allowing users to search\neven if they do not exactly know what they are looking for.\n\nThis thesis proposes an adaptable, modular, web-based prototype of an exploratory\nsearch interface. The goal of the prototype is to serve as a basis for the evaluation of\nexploratory search interfaces for a wide variety of use cases. In contrast to many existing\nExploratory Search tools, this prototype does not require rich meta-data to be present\nin a dataset. By utilizing an optional preprocessing step to extract named entities via\nNatural Language Processing, the prototype is compatible with most text-based datasets.\nThe search interface consists of a word cloud created by a force-directed layout algorithm\nthat places related entities close to each other. This interface also serves as the main\nfiltering option, which keeps the users’ focus on the word cloud. After selecting interesting\nentities, matching documents can be browsed in a list view.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 823,
            "image_height": 271,
            "name": "bugnar-esk-2021-teaser.PNG",
            "type": "image/png",
            "size": 111932,
            "path": "Publication:bugnar-esk-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1761
        ],
        "date_end": "2021-12",
        "date_start": "2020-04",
        "matrikelnr": "01402617",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 823,
                "image_height": 271,
                "name": "bugnar-esk-2021-teaser.PNG",
                "type": "image/png",
                "size": 111932,
                "path": "Publication:bugnar-esk-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bugnar-esk-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 5892838,
                "path": "Publication:bugnar-esk-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/bugnar-esk-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/bugnar-esk-2021/",
        "__class": "Publication"
    },
    {
        "id": "magg-2021-dva",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "10.34726/hss.2021.92822",
        "title": "Development and Visual Assessment of a Cross-Modal Brain Tumor Segmentation Pipeline",
        "date": "2021-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1740,
            "preview_image_height": 934,
            "name": "magg-2021-dva-.pdf",
            "type": "application/pdf",
            "size": 13653954,
            "path": "Publication:magg-2021-dva",
            "preview_name": "magg-2021-dva-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 125352,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1860
        ],
        "date_end": "2021",
        "date_start": "2021",
        "diploma_examina": "2022-01",
        "matrikelnr": "01225388",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1740,
                "preview_image_height": 934,
                "name": "magg-2021-dva-.pdf",
                "type": "application/pdf",
                "size": 13653954,
                "path": "Publication:magg-2021-dva",
                "preview_name": "magg-2021-dva-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 125352,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/magg-2021-dva-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg-2021-dva/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2021-xmas",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2021",
        "date": "2021-11-29",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Front side of the card as an image",
            "filetitle": "Cover",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2235,
            "image_height": 1548,
            "name": "ilcik-2021-xmas-Cover.jpg",
            "type": "image/jpeg",
            "size": 614758,
            "path": "Publication:ilcik-2021-xmas",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            1395
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "christmas"
        ],
        "weblinks": [
            {
                "href": "https://xmas.cg.tuwien.ac.at/2021/song",
                "caption": "Music",
                "description": "Procedural generator of Christmas songs including the tech behind and a few pregenerated samples",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Christmas card 2021 (front and back side)",
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 2480,
                "preview_image_height": 3508,
                "name": "ilcik-2021-xmas-Card.pdf",
                "type": "application/pdf",
                "size": 2606680,
                "path": "Publication:ilcik-2021-xmas",
                "preview_name": "ilcik-2021-xmas-Card:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 872803,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Card:thumb{{size}}.png"
            },
            {
                "description": "Front side of the card as an image",
                "filetitle": "Cover",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2235,
                "image_height": 1548,
                "name": "ilcik-2021-xmas-Cover.jpg",
                "type": "image/jpeg",
                "size": 614758,
                "path": "Publication:ilcik-2021-xmas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/ilcik-2021-xmas-Cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ilcik-2021-xmas/",
        "__class": "Publication"
    },
    {
        "id": "Zaufel_2021",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/19636",
        "title": "Agent Based Pedestrian Simulation in Visdom",
        "date": "2021-11-27",
        "abstract": "In this thesis a new pedestrian simulation plugin for the Visdom visualization system is presented. First the general layout of such a system is discussed using a layered system. Different candidates for these layers are presented and the best fitting one for the use are\npicked. For the tactical layer a fastest-path algorithm is used whilst for the operational layer a modified ORCA (Optimal Reciprocal Collision Avoidance) algorithm has been implemented. These will be discussed in detail.\nWe will also talk about the visualization of the simulation state. Both the kind of representation for different objects in the world, as well as additional visualizations that aim to help the operator to gain insight, are going to be presented.\nThen the implementation itself is going to be discussed. Especially how the different layers are integrated into the Visdom application. \nIn the last chapter the results are presented. First the system will be validated using the RiMEA test cases and then a real world case study showcases the capabilities of the proposed system.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1077,
            "image_height": 693,
            "name": "Zaufel_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 88610,
            "path": "Publication:Zaufel_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "title,abstract,date,keywords",
        "repositum_presentation_id": null,
        "authors": [
            1176
        ],
        "ac_number": "AC16454248",
        "date_end": "2021-11-27",
        "date_start": "2020-08-21",
        "diploma_examina": "2021-11-27",
        "doi": "10.34726/hss.2022.48167",
        "matrikelnr": "00925357",
        "open_access": "yes",
        "pages": "112",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "pedestrian simulation",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1077,
                "image_height": 693,
                "name": "Zaufel_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 88610,
                "path": "Publication:Zaufel_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Zaufel_2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 12658853,
                "path": "Publication:Zaufel_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Zaufel_2021-Poster.pdf",
                "type": "application/pdf",
                "size": 3196620,
                "path": "Publication:Zaufel_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Zaufel_2021-thesis.pdf",
                "type": "application/pdf",
                "size": 5279882,
                "path": "Publication:Zaufel_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/Zaufel_2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zaufel_2021/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2021-molecumentary",
        "type_id": "journalpaper",
        "tu_id": 300120,
        "repositum_id": "20.500.12708/138523",
        "title": "Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization",
        "date": "2021-11-25",
        "abstract": "We present a method for producing documentary-style content using real-time scientific visualization. We introduce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology, created through adaptable methods instead of the rigid traditional production pipeline. Our work is motivated by the rapid evolution of scientific visualization and it potential in science dissemination. Without some form of explanation or guidance, however, novices and lay-persons often find it difficult to gain insights from the visualization itself. We integrate such knowledge using the verbal channel and provide it along an engaging visual presentation. To realize the synthesis of a molecumentary, we provide technical solutions along two major production steps: (1) preparing a story structure and (2) turning the story into a concrete narrative. In the first step, we compile information about the model from heterogeneous sources into a story graph. We combine local knowledge with external sources to complete the story graph and enrich the final result. In the second step, we synthesize a narrative, i.e., story elements presented in sequence, using the story graph. We then traverse the story graph and generate a virtual tour, using automated camera and visualization transitions. We turn texts written by domain experts into verbal representations using text-to-speech functionality and provide them as a commentary. Using the described framework, we synthesize fly-throughs with descriptions: automatic ones that mimic a manually authored documentary or semi-automatic ones which guide the documentary narrative solely through curated textual input.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "overview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 943,
            "image_height": 399,
            "name": "kouril-2021-molecumentary-overview.png",
            "type": "image/png",
            "size": 224541,
            "path": "Publication:kouril-2021-molecumentary",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383,
            1789,
            935,
            1665,
            960,
            166,
            171
        ],
        "cfp": {
            "name": "TVCG_information_for_authors.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "220828",
            "orig_name": "TVCG_information_for_authors.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-11-15",
        "date_to": "2021-11-15",
        "doi": "10.1109/TVCG.2021.3130670",
        "event": "IEEE Vis 2022",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1383
        ],
        "note": "To appear (Early Access)",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "1",
        "volume": "1",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "Virtual tour",
            "audio",
            "biological data",
            "storytelling",
            "illustrative visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "overview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 943,
                "image_height": 399,
                "name": "kouril-2021-molecumentary-overview.png",
                "type": "image/png",
                "size": 224541,
                "path": "Publication:kouril-2021-molecumentary",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-overview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2021-molecumentary-paper.pdf",
                "type": "application/pdf",
                "size": 25205347,
                "path": "Publication:kouril-2021-molecumentary",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/kouril-2021-molecumentary-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-molecumentary/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2021_11",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis through Spatial and Abstract Data Integration",
        "date": "2021-11-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "CSIG-VIS International Lecture Series",
        "open_access": "no",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://chinavis.org/lectures/english/index_en.html",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_11/",
        "__class": "Publication"
    },
    {
        "id": "sbardellati-2021-eveos",
        "type_id": "masterthesis",
        "tu_id": 300124,
        "repositum_id": "20.500.12708/18678",
        "title": "Exploratory Visual System for Predictive Machine Learning of Event-Organisation Data",
        "date": "2021-11",
        "abstract": "In recent years, the usage of machine learning (ML) models and especially deep neural\nnetworks in many different domains has increased rapidly. One of the major challenges\nwhen working with ML models is to correctly and efficiently interpret the results given\nby a model. Additionally, understanding how the model came to its conclusions can be\na very complicated task even for domain experts in the field of machine learning. For\nlaypeople, ML models are often just black-boxes. The lack of understanding of a model\nand its reasoning often leads to users not trusting the model’s predictions.\n\nIn this thesis, we work with an ML model trained on event-organisation data. The\ngoal is to create an exploratory visual event-organisation system that enables event\norganisers to efficiently work with the model. The main user goals in this scenario are\nto maximise profits and to be able to prepare for the predicted number of visitors. To\nachieve these goals users need to be able to perform tasks like: interpreting the prediction\nof the current input and performing what-if analyses to understand the effects of\nchanging parameters. The proposed system incorporates adapted versions of multiple\nstate-of-the-art model-agnostic interpretation methods like partial dependence plots and\ncase-based reasoning. Since model-agnostic methods are independent of the ML model,\nthey provide high flexibility.\n\nMany state-of-the-art approaches to explain ML models are too complex to be understood\nby laypeople. Our target group of event organisers cannot be expected to have a sufficient\namount of technical knowledge in the field of machine learning. In this thesis, we want\nto find answers to the questions: How can we visualise ML predictions to laypeople in a\ncomprehensible way? How can predictions be compared against each other? How can\nwe support users in gaining trust in the ML model? Our event-organisation system is\ncreated using a human-centred design approach performing multiple case studies with\npotential users during the whole development circle.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 967,
            "image_height": 1079,
            "name": "sbardellati-2021-eveos-teaser.PNG",
            "type": "image/png",
            "size": 146317,
            "path": "Publication:sbardellati-2021-eveos",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1555
        ],
        "co_supervisor": [
            166
        ],
        "date_end": "2021-11",
        "date_start": "2020-11",
        "diploma_examina": "2021-11-15",
        "doi": "10.34726/hss.2021.85640",
        "matrikelnr": "01526262",
        "open_access": "yes",
        "pages": "110",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "machine learning",
            "interactive visualisation"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sbardellati-2021-eveos-poster.pdf",
                "type": "application/pdf",
                "size": 1867611,
                "path": "Publication:sbardellati-2021-eveos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-poster:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 967,
                "image_height": 1079,
                "name": "sbardellati-2021-eveos-teaser.PNG",
                "type": "image/png",
                "size": 146317,
                "path": "Publication:sbardellati-2021-eveos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-teaser:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sbardellati-2021-eveos-thesis.pdf",
                "type": "application/pdf",
                "size": 9660724,
                "path": "Publication:sbardellati-2021-eveos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/sbardellati-2021-eveos-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sbardellati-2021-eveos/",
        "__class": "Publication"
    },
    {
        "id": "Caic2021",
        "type_id": "masterthesis",
        "tu_id": 300125,
        "repositum_id": "20.500.12708/19101",
        "title": "Modelling the Effect of emotional Feedback as Stimulus in fMRI Neurofeedback",
        "date": "2021-10-27",
        "abstract": "Neurofeedback (NF) based on functional magnetic resonance imaging (fMRI) offers promising possibilities for therapeutic approaches in neurological and psychiatric diseases. By providing information over the current activity in a target brain region, conscious control can be learned allowing for counteracting disease-specific symptoms. Social feedback in the form of a face with changing expressions is often chosen as a very intuitive type of feedback. Since the brain regions affected in psychiatric conditions are often involved in the perception and processing of emotions, it is possible that these regions are additionally activated with emotional feedback. In this thesis it is examined whether such an additional activity has a significant influence on the measured activity, as this could lead to inaccurate feedback and, as a result, to suboptimal learning outcomes. For this purpose, the data of a previously published study is reanalysed while particularly taking the potential influence of the feedback signal into account. Using different model approaches, the exact nature of the influence is investigated, as well as whether positive and negative feedback differ in their influence. Given the highly individual aspects of NF and the goal to implement corrections for the training of a single subject in an openly available NF software, the analyses were conducted on an individual but also the group level allowing for tests of generalizability. At the single run level, a significant influence of both the feedback and its change over time was found. Positive feedback more often had a significant impact on the neuronal activation than negative feedback. With regard to the change over time, significant results could more often be found with negative feedback. At the group level, only the\nchange in feedback showed a significant influence on the activation of the target region. In a cross-validation, it was not possible to determine generalizability beyond a single run for any of the models under investigation. The examined effect seems to be very individual both for subjects and measurements and should therefore be treated separately from case to case. In NF studies in which emotional feedback is used while training a brain region involved in emotion processing, accounting for the influence of the feedback signal could improve the accuracy of the presented feedback and, hence, learning performance and therapeutic success. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 588,
            "image_height": 459,
            "name": "Caic2021-Image.JPG",
            "type": "image/jpeg",
            "size": 39094,
            "path": "Publication:Caic2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1890
        ],
        "date_end": "2021-10-27",
        "date_start": "2020-11-10",
        "diploma_examina": "2022-01",
        "doi": "10.34726/hss.2021.80523",
        "matrikelnr": "01204686",
        "open_access": "yes",
        "pages": "137",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Neurofeedback",
            "emotion processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 588,
                "image_height": 459,
                "name": "Caic2021-Image.JPG",
                "type": "image/jpeg",
                "size": 39094,
                "path": "Publication:Caic2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Caic2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 9807032,
                "path": "Publication:Caic2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Caic2021-Poster.pdf",
                "type": "application/pdf",
                "size": 2459157,
                "path": "Publication:Caic2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/Caic2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Caic2021/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2021-10",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Data Analysis",
        "date": "2021-10-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "ICSTCC 2021 - 25th International Conference on System Theory, Control and Computing",
        "location": "Iasi, Romania",
        "open_access": "no",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://icstcc2021.ac.tuiasi.ro/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021-10/",
        "__class": "Publication"
    },
    {
        "id": "Bayer_Alexander_2021_FTiVR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/18848",
        "title": "Foot Tracking in Virtual Reality",
        "date": "2021-10-14",
        "abstract": "The visualisation of limbs in Virtual Reality (VR) helps to get a better immersion in the virtual world and it creates better confidence in movement. Sadly a lot of VR applications omit the visualisation of limbs. One reason lies in technical difficulties with bigger scale VR environments and multi-user VR environments where you can not rely on outside-in tracking methods because of the size and possible occlusion that hinders accurate tracking data. Another reason is that developers do not want to exclude parts of their already small user base by demanding special hardware for foot tracking that costs as much as the hand controllers but is only usable in a small number of applications.\nThis thesis tackles these problems by generating a lightweight tracking system that only relies on the correct tracking of the head position so that either inside-out or outside-in tracking can be used with it. To achieve this, a RGB depth camera is mounted on the VR headset. A combination of fiducial marker tracking, depth tracking and inertial measurement units (IMUs) are used to track the user’s feet. These individual tracking signals are then fused to one signal that combines the advantages of the single tracking systems. This tracking information can then be used to animate the feet of a virtual avatar with an Inverse Kinematics (IK) algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1219
        ],
        "co_supervisor": [
            1731
        ],
        "date_end": "2021",
        "date_start": "2019",
        "diploma_examina": "2021",
        "doi": "10.34726/hss.2021.77646",
        "matrikelnr": "00726255",
        "open_access": "yes",
        "pages": "68",
        "supervisor": [
            378
        ],
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Virtual Reality",
            "Foot Tracking",
            "Motion Capture"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bayer_Alexander_2021_FTiVR-poster.pdf",
                "type": "application/pdf",
                "size": 3127113,
                "path": "Publication:Bayer_Alexander_2021_FTiVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bayer_Alexander_2021_FTiVR-thesis.pdf",
                "type": "application/pdf",
                "size": 12813943,
                "path": "Publication:Bayer_Alexander_2021_FTiVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/Bayer_Alexander_2021_FTiVR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Bayer_Alexander_2021_FTiVR/",
        "__class": "Publication"
    },
    {
        "id": "Priselac2021",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/18845",
        "title": "Visual Analytics of Spatial Time Series Data",
        "date": "2021-10-12",
        "abstract": "Regardless of what algorithms and technologies are developed, the human mind and logical reasoning remain important tools for analysing, modelling, and solving problems. Visual representation of data is considered the most e˙ective way to convey information to the human brain and promote analytical thinking. Visual analytics encompasses a set of techniques, methods, and tools that support analytical thinking through visual representations of various types of data. Due to their complexity and size, spatial time series data are suitable for implementation of such techniques, as their analysis remains challenging. Many environmental, social, and economic processes of modern civilization are represented by spatial time series, which emphasises the need for interactive visual representations for their more eÿcient analysis.\nOne clear example of such complex processes is economic recession, a decline in economic activity for which there is no single formal definition. However, it is often described in terms of recession factors such as GDP, the Gini index, or inflation, all of which are examples of spatial time series data, and whose change can be a clear indicator of the state of the economy. As recession analysis is a very complex topic and it is not entirely clear which economic factors have the greatest impact, purely automated techniques are not appropriate and there is scope for advances in analytical approaches.\nThis thesis proposes an application “Recession Explorer”: visual analytics of economic recession and its forecasting as an example of a holistic system that displays spatial time series data and explores patterns and insights in the data. Such a combination of approaches provides a unique perspective on economic recession studies by facilitating both high-level human reasoning and the use of advanced mathematical algorithms. The goal of the application is to demonstrate that the use of visual analytics is a beneficial approach to address the challenges of economic recession and, more generally, to assist users with interactive visualisations when dealing with and analysing spatial time series data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 849,
            "image_height": 306,
            "name": "Priselac2021-image.JPG",
            "type": "image/jpeg",
            "size": 43088,
            "path": "Publication:Priselac2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1868
        ],
        "date_end": "2021-10-12",
        "date_start": "2021-01-05",
        "diploma_examina": "2021-10-12",
        "doi": "10.34726/hss.2021.73924",
        "matrikelnr": "11735131",
        "open_access": "yes",
        "pages": "60",
        "supervisor": [
            235
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual analytics",
            "interactive visual analysis",
            "machine learning",
            "linear regression",
            "elastic net",
            "K-Means",
            "classification",
            "spatial time series",
            "economic recession",
            "recession factors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 849,
                "image_height": 306,
                "name": "Priselac2021-image.JPG",
                "type": "image/jpeg",
                "size": 43088,
                "path": "Publication:Priselac2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Priselac2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 12953562,
                "path": "Publication:Priselac2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Priselac2021-Poster.pdf",
                "type": "application/pdf",
                "size": 1308445,
                "path": "Publication:Priselac2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/Priselac2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Priselac2021/",
        "__class": "Publication"
    },
    {
        "id": "Dhanoa_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300187,
        "repositum_id": "20.500.12708/138541",
        "title": "Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations ",
        "date": "2021-10-11",
        "abstract": "Spreadsheet-based tools provide a simple yet effective way of calculating values, which makes them the number-one choice for building and formalizing simple models for budget planning and many other applications. A cell in a spreadsheet holds one specific value and gives a discrete, overprecise view of the underlying model. Therefore, spreadsheets are of limited use when investigating the inherent uncertainties of such models and answering what-if questions. Existing extensions typically require a complex modeling process that cannot easily be embedded in a tabular layout. In Fuzzy Spreadsheet, a cell can hold and display a distribution of values. This integrated uncertainty-handling immediately conveys sensitivity and robustness information. The fuzzification of the cells enables calculations not only with precise values but also with distributions, and probabilities. We conservatively added and carefully crafted visuals to maintain the look and feel of a traditional spreadsheet while facilitating what-if analyses. Given a user-specified reference cell, Fuzzy Spreadsheet automatically extracts and visualizes contextually relevant information, such as impact, uncertainty, and degree of neighborhood, for the selected and related cells. To evaluate its usability and the perceived mental effort required, we conducted a user study. The results show that our approach outperforms traditional spreadsheets in terms of answer correctness, response time, and perceived mental effort in almost all tasks tested. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 532,
            "image_height": 431,
            "name": "Dhanoa_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 30593,
            "path": "Publication:Dhanoa_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1892,
            1893,
            1895,
            166,
            1896
        ],
        "doi": "10.1109/TVCG.2021.3119212 ",
        "first_published": "2021-10-11",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 532,
                "image_height": 431,
                "name": "Dhanoa_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 30593,
                "path": "Publication:Dhanoa_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Dhanoa_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 2802801,
                "path": "Publication:Dhanoa_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/Dhanoa_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Dhanoa_2021/",
        "__class": "Publication"
    },
    {
        "id": "Heim_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300188,
        "repositum_id": "20.500.12708/138542",
        "title": "CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles",
        "date": "2021-10-10",
        "abstract": "Comparative analysis of multivariate datasets, e.g. of advanced materials regarding the characteristics of internal structures (fibers, pores, etc.), is of crucial importance in various scientific disciplines. Currently domain experts in materials science mostly rely on sequential comparison of data using juxtaposition. Our work assists domain experts to perform detailed comparative analyses of large ensemble data in materials science applications. For this purpose, we developed a comparative visualization framework, that includes a tabular overview and three detailed visualization techniques to provide a holistic view on the similarities in the ensemble. We demonstrate the applicability of our framework on two specific usage scenarios and verify its techniques using a qualitative user study with 12 material experts. The insights gained from our work represent a significant advancement in the field of comparative material analysis of high-dimensional data. Our framework provides experts with a novel perspective on the data and eliminates the need for time-consuming sequential exploration of numerical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 765,
            "image_height": 399,
            "name": "Heim_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 69697,
            "path": "Publication:Heim_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1354,
            166,
            611
        ],
        "doi": "CoSi: Visual Comparison of Similarities in High-Dimensional Data Ensembles",
        "first_published": "2021-10-10",
        "journal": "VMV: Vision, Modeling, and Visualization",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 765,
                "image_height": 399,
                "name": "Heim_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 69697,
                "path": "Publication:Heim_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Heim_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 926914,
                "path": "Publication:Heim_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/Heim_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heim_2021/",
        "__class": "Publication"
    },
    {
        "id": "amabili2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300122,
        "repositum_id": "20.500.12708/138525",
        "title": "A Taxonomy-Driven Model for Designing Educational Games in Visualization",
        "date": "2021-10-01",
        "abstract": "Visualization literacy of the broader audiences is becoming an important topic, as we are increasingly surrounded by misleading, erroneous, or confusing visualizations. How can we educate the general masses about data visualization? We propose a twofold model for designing educational games in visualization based on the concept of constructivism and learning-by-playing. We base our approach on the idea of deconstruction and construction, borrowed from the domain of mathematics. We describe the conceptual development and design of our model through two games. First, we present a deconstruction-based game that requires the inspection, identification, and categorization of visualization characteristics (data, users, tasks, visual variables, visualization vocabulary), starting from a finalized visualization. Second, we propose a construction-based game where it is\npossible to compose visualizations bottom-up from individual visual characteristics. The two games use the same deck of cards with a simple design\nbased on visualization taxonomies, popular in visualization teaching.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "preview_image_width": 293,
            "preview_image_height": 275,
            "name": "amabili2021-.pdf",
            "type": "application/pdf",
            "size": 10705214,
            "path": "Publication:amabili2021",
            "preview_name": "amabili2021-:preview.PNG",
            "preview_type": "image/png",
            "preview_size": 62760,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1861,
            1862,
            1410
        ],
        "doi": "https://doi.org/10.1109/mcg.2021.3115446",
        "first_published": "2021-10-01",
        "journal": "IEEE Computer Graphics and Applications",
        "number": "6",
        "open_access": "yes",
        "pages_from": "71",
        "pages_to": "79",
        "volume": "41",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 293,
                "preview_image_height": 275,
                "name": "amabili2021-.pdf",
                "type": "application/pdf",
                "size": 10705214,
                "path": "Publication:amabili2021",
                "preview_name": "amabili2021-:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 62760,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/amabili2021-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amabili2021/",
        "__class": "Publication"
    },
    {
        "id": "Gillmann2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300370,
        "repositum_id": "20.500.12708/138579",
        "title": "Ten Open Challenges in Medical Visualization ",
        "date": "2021-10",
        "abstract": "The medical domain has been an inspiring application area in visualization research for many years already, but many open challenges remain. The driving forces of medical visualization research have been strengthened by novel developments, for example, in deep learning, the advent of affordable VR technology, and the need to provide medical visualizations for broader audiences. At IEEE VIS 2020, we hosted an Application Spotlight session to highlight recent medical visualization research topics. With this article, we provide the visualization community with ten such open challenges, primarily focused on challenges related to the visualization of medical imaging data. We first describe the unique nature of medical data in terms of data preparation, access, and standardization. Subsequently, we cover open visualization research challenges related to uncertainty,  multimodal and multiscale approaches, and evaluation. Finally, we emphasize challenges related to users focusing on explainable AI, immersive visualization, P4 medicine, and narrative visualization. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 607,
            "image_height": 528,
            "name": "Gillmann2021-Image.JPG",
            "type": "image/jpeg",
            "size": 52995,
            "path": "Publication:Gillmann2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1897,
            1694,
            166,
            563,
            459,
            1898
        ],
        "doi": "10.1109/MCG.2021.3094858",
        "first_published": "2021-10-01",
        "journal": "IEEE Computer Graphics and Applications",
        "number": "5",
        "open_access": "yes",
        "pages_from": "7",
        "pages_to": "15",
        "volume": "41",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gillmann2021-.pdf",
                "type": "application/pdf",
                "size": 1220006,
                "path": "Publication:Gillmann2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 607,
                "image_height": 528,
                "name": "Gillmann2021-Image.JPG",
                "type": "image/jpeg",
                "size": 52995,
                "path": "Publication:Gillmann2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/Gillmann2021-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Gillmann2021/",
        "__class": "Publication"
    },
    {
        "id": "grossmann-2021-layout",
        "type_id": "inproceedings",
        "tu_id": 300287,
        "repositum_id": "20.500.12708/58620",
        "title": "Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation",
        "date": "2021-10",
        "abstract": "In visual interactive labeling, users iteratively assign labels to data items until the machine model reaches an acceptable accuracy. A crucial step of this process is to inspect the model's accuracy and decide whether it is necessary to label additional elements. In scenarios with no or very little labeled data, visual inspection of the predictions is required. Similarity-preserving scatterplots created through a dimensionality reduction algorithm are a common visualization that is used in these cases. Previous studies investigated the effects of layout and image complexity on tasks like labeling. However, model evaluation has not been studied systematically. We present the results of an experiment studying the influence of image complexity and visual grouping of images on model accuracy estimation. We found that users outperform traditional automated approaches when estimating a model's accuracy. Furthermore, while the complexity of images impacts the overall performance, the layout of the items in the plot has little to no effect on estimations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "In both scatterplots shown here, the percentage of images with correctly predicted class labels (visualized as border color) is over 90%. We found that users can estimate these accuracies fairly well. Image complexity impacts overall performance, but the layout has very little effect on users’ estimations. ",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3287,
            "image_height": 1817,
            "name": "grossmann-2021-layout-teaser.png",
            "type": "image/png",
            "size": 879037,
            "path": "Publication:grossmann-2021-layout",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366,
            1851,
            1690,
            1110
        ],
        "booktitle": "IEEE Visualization Conference (VIS)",
        "cfp": {
            "name": "Short Paper Call for Participation.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "180486",
            "orig_name": "Short Paper Call for Participation.pdf",
            "ext": "pdf"
        },
        "doi": "10.1109/VIS49827.2021.9623326",
        "event": "IEEE Visualization Conference (VIS)",
        "lecturer": [
            1110
        ],
        "open_access": "yes",
        "pages": "5",
        "pages_from": "61",
        "pages_to": "65",
        "publisher": "IEEE Computer Society Press",
        "research_areas": [
            "InfoVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://arxiv.org/pdf/2110.07188.pdf",
                "caption": "arxiv",
                "description": "Link to arxiv version of the paper",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2021-layout-paper.pdf",
                "type": "application/pdf",
                "size": 1951149,
                "path": "Publication:grossmann-2021-layout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-paper:thumb{{size}}.png"
            },
            {
                "description": "Pre-recorded presentation for VIS 2021",
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2021-layout-presentation.mp4",
                "type": "video/mp4",
                "size": 28816734,
                "path": "Publication:grossmann-2021-layout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-presentation.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-presentation:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-presentation:video.mp4"
            },
            {
                "description": "Fast-forward preview video",
                "filetitle": "preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2021-layout-preview.mp4",
                "type": "video/mp4",
                "size": 5736268,
                "path": "Publication:grossmann-2021-layout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-preview.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-preview:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-preview:video.mp4"
            },
            {
                "description": "Supplementary document showing study conditions and interface",
                "filetitle": "supplement",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2021-layout-supplement.pdf",
                "type": "application/pdf",
                "size": 44940660,
                "path": "Publication:grossmann-2021-layout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-supplement.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-supplement:thumb{{size}}.png"
            },
            {
                "description": "In both scatterplots shown here, the percentage of images with correctly predicted class labels (visualized as border color) is over 90%. We found that users can estimate these accuracies fairly well. Image complexity impacts overall performance, but the layout has very little effect on users’ estimations. ",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3287,
                "image_height": 1817,
                "name": "grossmann-2021-layout-teaser.png",
                "type": "image/png",
                "size": 879037,
                "path": "Publication:grossmann-2021-layout",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/grossmann-2021-layout-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/grossmann-2021-layout/",
        "__class": "Publication"
    },
    {
        "id": "roth_vdi",
        "type_id": "inproceedings",
        "tu_id": 300372,
        "repositum_id": "20.500.12708/55640",
        "title": "View-Dependent Impostors for Architectural Shape Grammars",
        "date": "2021-10",
        "abstract": "Procedural generation has become a key component in satisfying a growing demand for ever-larger, highly detailed geometry in realistic, open-world games and simulations. In this paper, we present our work towards a new level-of-detail mechanism for procedural geometry shape grammars. Our approach automatically identifies and adds suitable surrogate rules to a shape grammar's derivation tree. Opportunities for surrogates are detected in a dedicated pre-processing stage. Where suitable, textured impostors are then used for rendering based on the current viewpoint at runtime. Our proposed methods generate simplified geometry with superior visual quality to the state-of-the-art and roughly the same rendering performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1920,
            "image_height": 1920,
            "name": "roth_vdi-teaser.png",
            "type": "image/png",
            "size": 6440142,
            "path": "Publication:roth_vdi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1558,
            1847,
            1650,
            193
        ],
        "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "982263",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-18",
        "date_to": "2021-10-21",
        "doi": "10.2312/pg.20211390",
        "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard",
        "event": "Pacific Graphics 2021",
        "isbn": "978-3-03868-162-5",
        "lecturer": [
            1558
        ],
        "location": "online",
        "open_access": "yes",
        "organization": "The Eurographics Association",
        "pages": "2",
        "pages_from": "63",
        "pages_to": "64",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "procedural geometry",
            "real-time",
            "GPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "roth_vdi-paper.pdf",
                "type": "application/pdf",
                "size": 3651426,
                "path": "Publication:roth_vdi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1920,
                "name": "roth_vdi-teaser.png",
                "type": "image/png",
                "size": 6440142,
                "path": "Publication:roth_vdi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/roth_vdi-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_vdi/",
        "__class": "Publication"
    },
    {
        "id": "sietzen-2021-perturber",
        "type_id": "journalpaper",
        "tu_id": 300245,
        "repositum_id": "20.500.12708/55628",
        "title": "Interactive Analysis of CNN Robustness",
        "date": "2021-10",
        "abstract": "While convolutional neural networks (CNNs) have found wide adoption as state-of-the-art models for image-related tasks, their predictions are often highly sensitive to small input perturbations, which the human vision is robust against.\nThis paper presents Perturber, a web-based application that allows users to instantaneously explore how CNN activations and predictions evolve when a 3D input scene is interactively perturbed. Perturber offers a large variety of scene modifications, such as camera controls, lighting and shading effects, background modifications, object morphing, as well as adversarial attacks, to facilitate the discovery of potential vulnerabilities. Fine-tuned model versions can be directly compared for qualitative evaluation of their robustness. Case studies with machine learning experts have shown that Perturber helps users to quickly generate hypotheses about model vulnerabilities and to qualitatively compare model behavior. Using quantitative analyses, we could replicate users' insights with other CNN architectures and input images, yielding new insights about the vulnerability of adversarially trained models. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Activations and feature visualizations for neurons associated with complex shapes and curvatures in layer mixed4a in the standard model. Note how rotating the input model causes activation changes for oriented shape detectors. ",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1423,
            "image_height": 736,
            "name": "sietzen-2021-perturber-teaser.png",
            "type": "image/png",
            "size": 1235572,
            "path": "Publication:sietzen-2021-perturber",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1373,
            1852,
            1853,
            1854,
            1110
        ],
        "cfp": {
            "name": "Call for Papers _ Pacific Graphics 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "246798",
            "orig_name": "Call for Papers _ Pacific Graphics 2021.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-18",
        "date_to": "2021-10-21",
        "doi": "10.1111/cgf.14418",
        "event": "Pacific Graphics 2021",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1373
        ],
        "open_access": "yes",
        "pages": "12",
        "pages_from": "253",
        "pages_to": "264",
        "publisher": "John Wiley and Sons",
        "volume": "40",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Computer Graphics and Computer-Aided Design"
        ],
        "weblinks": [
            {
                "href": "http://perturber.stefansietzen.at/",
                "caption": "online tool",
                "description": "Perturber online tool for interactive analysis of CNN robustness",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2021-perturber-paper.pdf",
                "type": "application/pdf",
                "size": 10858795,
                "path": "Publication:sietzen-2021-perturber",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-paper:thumb{{size}}.png"
            },
            {
                "description": "Additional use cases and detailed reports from the case study",
                "filetitle": "supplementary document ",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2021-perturber-supplementary document .pdf",
                "type": "application/pdf",
                "size": 24700068,
                "path": "Publication:sietzen-2021-perturber",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-supplementary document .pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-supplementary document :thumb{{size}}.png"
            },
            {
                "description": "Activations and feature visualizations for neurons associated with complex shapes and curvatures in layer mixed4a in the standard model. Note how rotating the input model causes activation changes for oriented shape detectors. ",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1423,
                "image_height": 736,
                "name": "sietzen-2021-perturber-teaser.png",
                "type": "image/png",
                "size": 1235572,
                "path": "Publication:sietzen-2021-perturber",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2021-perturber-video.mp4",
                "type": "video/mp4",
                "size": 215752131,
                "path": "Publication:sietzen-2021-perturber",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/sietzen-2021-perturber-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sietzen-2021-perturber/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2021-egonet",
        "type_id": "journalpaper",
        "tu_id": 300416,
        "repositum_id": "20.500.12708/58630",
        "title": "Egocentric Network Exploration for Immersive Analytics",
        "date": "2021-10",
        "abstract": "To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of ``egocentrism'', where data depiction and interaction are adapted to the perspective of the user within a 3D network. Egocentrism has the potential to overcome some of the inherent downsides of virtual environments, e.g., visual clutter and cyber-sickness. To investigate the effect of this metaphor on immersive network exploration, we designed and evaluated interfaces of varying degrees of egocentrism. In a user study, we evaluated the effect of these interfaces on visual search tasks, efficiency of network traversal, spatial orientation, as well as cyber-sickness. Results show that a simple egocentric interface considerably improves visual search efficiency and navigation performance, yet does not decrease spatial orientation or increase cyber-sickness. A distorted occlusion-free view of the neighborhood only marginally improves the user's performance. We tie our findings together in an open online tool for egocentric network exploration, providing actionable insights on the benefits of the egocentric network exploration metaphor.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2921,
            "image_height": 735,
            "name": "sorger-2021-egonet-teaser.png",
            "type": "image/png",
            "size": 2079618,
            "path": "Publication:sorger-2021-egonet",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            1705,
            1720,
            853,
            1110
        ],
        "cfp": {
            "name": "Call for Papers _ Pacific Graphics 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "246798",
            "orig_name": "Call for Papers _ Pacific Graphics 2021.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-18",
        "date_to": "2021-10-21",
        "doi": "10.1111/cgf.14417",
        "event": "Pacific Graphics 21",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1072
        ],
        "location": "Wellington, NZ",
        "open_access": "no",
        "pages": "12",
        "pages_from": "241",
        "pages_to": "252",
        "publisher": "John Wiley and Sons",
        "volume": "40",
        "research_areas": [
            "InfoVis",
            "NetVis",
            "VR"
        ],
        "keywords": [
            "Computer Graphics and Computer-Aided Design"
        ],
        "weblinks": [
            {
                "href": "https://vis.csh.ac.at/egocentricvr/",
                "caption": "online egocentric network",
                "description": "Online tool for egocentric network exploration leveraging insights gathered at the user study",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2921,
                "image_height": 735,
                "name": "sorger-2021-egonet-teaser.png",
                "type": "image/png",
                "size": 2079618,
                "path": "Publication:sorger-2021-egonet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "the paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2021-egonet-the paper.pdf",
                "type": "application/pdf",
                "size": 4211458,
                "path": "Publication:sorger-2021-egonet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-the paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-the paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2021-egonet-video.mp4",
                "type": "video/mp4",
                "size": 295211748,
                "path": "Publication:sorger-2021-egonet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/sorger-2021-egonet-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sorger-2021-egonet/",
        "__class": "Publication"
    },
    {
        "id": "stappen_SteFAS",
        "type_id": "inproceedings",
        "tu_id": 300417,
        "repositum_id": "20.500.12708/58631",
        "title": "Temporally Stable Content-Adaptive and Spatio-Temporal Shading Rate Assignment for Real-Time Applications",
        "date": "2021-10",
        "abstract": "We propose two novel methods to improve the efficiency and quality of real-time rendering applications: Texel differential-based content-adaptive shading (TDCAS) and spatio-temporally filtered adaptive shading (STeFAS). Utilizing Variable Rate Shading (VRS)-a hardware feature introduced with NVIDIA's Turing micro-architecture-and properties derived during rendering or Temporal Anti-Aliasing (TAA), our techniques adapt the resolution to improve the performance and quality of real-time applications. VRS enables different shading resolution for different regions of the screen during a single render pass. In contrast to other techniques, TDCAS and STeFAS have very little overhead for computing the shading rate. STeFAS enables up to 4x higher rendering resolutions for similar frame rates, or a performance increase of 4× at the same resolution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1227,
            "image_height": 799,
            "name": "stappen_SteFAS-teaser.png",
            "type": "image/png",
            "size": 126643,
            "path": "Publication:stappen_SteFAS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1406,
            848,
            1650,
            193
        ],
        "booktitle": "Pacific Graphics Short Papers, Posters, and Work-in-Progress Papers",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "982263",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-18",
        "date_to": "2021-10-21",
        "doi": "10.2312/pg.20211391",
        "editor": "Lee, Sung-Hee and Zollmann, Stefanie and Okabe, Makoto and Wünsche, Burkhard",
        "event": "Pacific Graphics 2021",
        "isbn": "978-3-03868-162-5",
        "lecturer": [
            1406
        ],
        "location": "online",
        "organization": "The Eurographics Association",
        "pages": "2",
        "pages_from": "65",
        "pages_to": "66",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "variable rate shading",
            "temporal antialiasing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stappen_SteFAS-paper.pdf",
                "type": "application/pdf",
                "size": 173697,
                "path": "Publication:stappen_SteFAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1227,
                "image_height": 799,
                "name": "stappen_SteFAS-teaser.png",
                "type": "image/png",
                "size": 126643,
                "path": "Publication:stappen_SteFAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/stappen_SteFAS-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stappen_SteFAS/",
        "__class": "Publication"
    },
    {
        "id": "stoff-concepMap-2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Concept Map Mining as Browser Extension",
        "date": "2021-10",
        "abstract": "Concept maps are a well-known method of structured representation of knowledge. They\nare represented as a node-link diagram that showcases different concepts and their\nrelations to each other, which are often extracted from unstructured text. Manual\ngeneration of such concept maps can be a tedious task, but fully automated approaches\nare often not able to satisfy qualitative expectations. Semi-automated methods have\nshown to be a satisfying compromise between these two. It is especially important that\nthe manual aspect of creating a concept map is as intuitive and easy as possible so that\nthe user’s workflow is not interrupted, and tasks can be completed efficiently. Therefore,\nit is the graphical user interface that plays a critical role in guaranteeing a satisfying\nexperience and swift completion of tasks.\n\nIt is therefore the aim of this thesis to create an environment, in which users are able\nto extract meaningful concepts from arbitrary websites and connect these concepts to\nexisting knowledge structures. In other words, it should visually convey how new, unseen\ninformation fits to the knowledge they already have. For this purpose, an extension to\nthe Google Chrome browser is presented in this thesis, that allows the user to analyze\nthe text on any website on the internet with a provided natural language processing\nsoftware. Concepts and relations can then be highlighted in the original text to visualize\ntheir connection to existing knowledge. At the user’s choice, new concepts, relations, and\ncombinations of the two can be added to existing concept maps. These concept maps\ncan be automatically visualized as a node-link diagram.\n\nWith the help of a small user evaluation, we conclude that the approach has definite\npotential but still lacks the reliability, especially with the automatic text processing and\nconcept extraction, for real-world use-cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 892,
            "image_height": 317,
            "name": "stoff-concepMap-2021-teaser.PNG",
            "type": "image/png",
            "size": 140973,
            "path": "Publication:stoff-concepMap-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1865
        ],
        "date_end": "2021-10",
        "date_start": "2021-04",
        "matrikelnr": "11777706",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/Valcaad/bacConceptMaps",
                "caption": "GitHub",
                "description": "Code for the Browser Extension",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 892,
                "image_height": 317,
                "name": "stoff-concepMap-2021-teaser.PNG",
                "type": "image/png",
                "size": 140973,
                "path": "Publication:stoff-concepMap-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stoff-concepMap-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 4423850,
                "path": "Publication:stoff-concepMap-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/stoff-concepMap-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/stoff-concepMap-2021/",
        "__class": "Publication"
    },
    {
        "id": "murturi_PGG",
        "type_id": "inproceedings",
        "tu_id": 298543,
        "repositum_id": "20.500.12708/58547",
        "title": "On Provisioning Procedural Geometry Workloads on Edge Architectures",
        "date": "2021-10",
        "abstract": "Contemporary applications such as those within Augmented or Virtual Reality (AR/VR) pose challenges for software architectures supporting them, which have to adhere to stringent latency, data transmission, and performance requirements. This manifests in processing 3D models, whose 3D contents are increasingly generated procedurally rather than explicitly, resulting in computational workloads (i.e., perceived as Procedural Geometry Workloads) with particular characteristics and resource requirements. Traditionally, executing such workloads takes place in resource-rich environments such as the cloud. However, the massive amount of data transfer, heterogeneous devices, and networks involved affect latency, which in turn causes low-quality visualization in user-facing applications (e.g., AR/VR). To overcome such challenges, processing elements available close to end users can be leveraged to generate 3D models instead, and as such the edge emerges as a central architectural entity. This paper describes such procedural geometry workloads, their particular characteristics, and challenges to execute them on heterogeneous devices. Furthermore, we propose an architecture capable of provisioning procedural geometry workloads in edge scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser2",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2189,
            "image_height": 1487,
            "name": "murturi_PGG-teaser2.png",
            "type": "image/png",
            "size": 360252,
            "path": "Publication:murturi_PGG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1708,
            1558,
            1650,
            193,
            1709,
            1706
        ],
        "booktitle": "Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "2105613",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-26",
        "date_to": "2021-10-28",
        "doi": "10.5220/0010687800003058",
        "editor": " Francisco Domínguez Mayo, Massimo Marchiori and Joaquim Filipe",
        "event": "17th International Conference on Web Information Systems and Technologies - WEBIST",
        "isbn": "978-989-758-536-4",
        "lecturer": [
            1708
        ],
        "organization": "INSTICC",
        "pages": "6",
        "pages_from": "354",
        "pages_to": "359",
        "publisher": "SciTePress",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "distributed systems",
            "procedural geometry",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "murturi_PGG-paper.pdf",
                "type": "application/pdf",
                "size": 3799321,
                "path": "Publication:murturi_PGG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2189,
                "image_height": 1487,
                "name": "murturi_PGG-teaser2.png",
                "type": "image/png",
                "size": 360252,
                "path": "Publication:murturi_PGG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/murturi_PGG-teaser2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/murturi_PGG/",
        "__class": "Publication"
    },
    {
        "id": "herzberger-2021-cmake",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adding CMake and Linux Support for a modern C++/Vulkan Rendering Framework",
        "date": "2021-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 128,
            "image_height": 128,
            "name": "herzberger-2021-cmake-image.webp",
            "type": "image/webp",
            "size": 4248,
            "path": "Publication:herzberger-2021-cmake",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/herzberger-2021-cmake/herzberger-2021-cmake-image.webp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/herzberger-2021-cmake/herzberger-2021-cmake-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1857
        ],
        "date_end": "2021-10",
        "date_start": "2021-06",
        "matrikelnr": "01006039",
        "supervisor": [
            193,
            848
        ],
        "research_areas": [],
        "keywords": [
            "Auto-Vk",
            "Auto-Vk-Toolkit",
            "CMake",
            "GCC",
            "Clang",
            "Vulkan"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk",
                "caption": "Auto-Vk on GitHub",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/cg-tuwien/Auto-Vk-Toolkit",
                "caption": "Auto-Vk-Toolkit on GitHub",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 128,
                "image_height": 128,
                "name": "herzberger-2021-cmake-image.webp",
                "type": "image/webp",
                "size": 4248,
                "path": "Publication:herzberger-2021-cmake",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/herzberger-2021-cmake/herzberger-2021-cmake-image.webp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/herzberger-2021-cmake/herzberger-2021-cmake-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/herzberger-2021-cmake/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2021-msh",
        "type_id": "journalpaper",
        "tu_id": 300418,
        "repositum_id": "20.500.12708/58632",
        "title": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes",
        "date": "2021-10",
        "abstract": "Following recent advances in GPU hardware development and newly introduced rendering pipeline extensions, the segmentation of input geometry into small geometry clusters-so-called meshlets-has emerged as an important practice for efficient rendering of complex 3D models. Meshlets can be processed efficiently using mesh shaders on modern graphics processing units, in order to achieve streamlined geometry processing in just two tightly coupled shader stages that allow for dynamic workload manipulation in-between. The additional granularity layer between entire models and individual triangles enables new opportunities for fine-grained visibility culling methods. However, in contrast to static models, view frustum and backface culling on a per-meshlet basis for skinned, animated models are difficult to achieve while respecting the conservative spatio-temporal bounds that are required for robust rendering results. In this paper, we describe a solution for computing and exploiting relevant conservative bounds for culling meshlets of models that are animated using linear blend skinning. By enabling visibility culling for animated meshlets, our approach can help to improve rendering performance and alleviate bottlenecks in the notoriously performanceand memory-intensive skeletal animation pipelines of modern real-time graphics applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 849,
            "image_height": 653,
            "name": "unterguggenberger-2021-msh-teaser.png",
            "type": "image/png",
            "size": 990337,
            "path": "Publication:unterguggenberger-2021-msh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848,
            1650,
            1795,
            193
        ],
        "booktitle": "Computer Graphics Forum",
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "982263",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-10-18",
        "date_to": "2021-10-21",
        "doi": "10.1111/cgf.14401",
        "event": "Pacific Graphics 2021",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            848
        ],
        "location": "online",
        "number": "7",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "57",
        "pages_to": "69",
        "publisher": "Eurographics Association",
        "volume": "40",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "meshlet",
            "mesh shader",
            "task shader",
            "view frustum culling",
            "backface culling",
            "Vulkan",
            "vertex skinning",
            "animation",
            "conservative bounds",
            "bounding boxes",
            "Rodrigues' rotation formula",
            "spatio-temporal bounds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Conservative Meshlet Bounds for Robust Culling of Skinned Meshes",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2021-msh-paper.pdf",
                "type": "application/pdf",
                "size": 13842539,
                "path": "Publication:unterguggenberger-2021-msh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-paper:thumb{{size}}.png"
            },
            {
                "description": "Slides used for the talk",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2021-msh-slides.pdf",
                "type": "application/pdf",
                "size": 4963013,
                "path": "Publication:unterguggenberger-2021-msh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 849,
                "image_height": 653,
                "name": "unterguggenberger-2021-msh-teaser.png",
                "type": "image/png",
                "size": 990337,
                "path": "Publication:unterguggenberger-2021-msh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/unterguggenberger-2021-msh-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/unterguggenberger-2021-msh/",
        "__class": "Publication"
    },
    {
        "id": "Kolter_2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Creating an Interactive Web App for Computer Graphics Topics",
        "date": "2021-09-28",
        "abstract": "Computer Graphics is, as the name suggests, a subdomain of Computer Science with strong relation to visuals. Often a lot of complex math is necessary to make a computer render a visual representation of something onto the screen. However, in many cases the algorithms used can also be explained nicely in a very visual manner. The goal of this Bachelor’s Thesis was to find novel ways to introduce people interested in Computer Graphics to selected topics, mainly focusing on Bézier Curves and their generalizations (B-Spline and NURBS curves). To reach this goal, interactive web-based demos that can be viewed with any state-of-the-art browser were created.\nRelated existing work is presented (publications on approaches to teaching Computer Graphics and existing teaching material, as well as learning resources/demos that were found online). The ways in which the collected knowledge was used when implementing the demos are described as well as key decisions that had to be made for the concrete implementation of the web app. Important implementation details are discussed, too. Finally, an overview of the lessons learnt over the course of the whole project is given.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1856
        ],
        "date_end": "2021-09-30",
        "date_start": "2021-03-10",
        "matrikelnr": "11810909",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Kolter_2021-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 431252,
                "path": "Publication:Kolter_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/Kolter_2021-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/Kolter_2021-Bachelor thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kolter_2021/",
        "__class": "Publication"
    },
    {
        "id": "rait_alexius-2021-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Radial Search for Progressive Photon Mapping",
        "date": "2021-09-15",
        "abstract": "In many applications, we need to find neighbors in a point cloud for a large number of locations, so we want to be able to do that quickly. This task can be achieved by locating the k-nearest neighbors (kNN) but just querying the interior of a fixed-sized ball - radius search - is faster since we do not have to iteratively adjust the search radius. For fast retrieval of points in 3D, Fast kNN projects the point cloud to a grid, e.g. screen space sized, and packs it densely so that points can be read consecutively from memory (see Bachelor thesis of Reinwald). An example application is described by Hachisuka et al. \"Progressive Photon Mapping\" and an open source implementation based on that is available here. Projective radial search is also described by Bewley and Upcroft \"Advantages of exploiting projection structure for segmenting dense 3D point clouds\".\nTasks\n\n    Adapt the existing CUDA kNN implementation of Reinwald to a fixed search radius wiith thrust::count to create the packed buffer\n    Optimize the querying code for parallel processing\n    Compare with radius search and photon mapping implementations given above\n    Clean up code for release as an open source project.\n\nRequirements\n\nGood optimizing skills. Shader or CUDA experience is a bonus.\nEnvironment\n\nC/C++ and CUDA, platform-independent, LGPL license\n\nA bonus of €500 if completed to satisfaction within an agreed time-frame of 6 months.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 198,
            "image_height": 199,
            "name": "rait_alexius-2021-baa-image.png",
            "type": "image/png",
            "size": 47394,
            "path": "Publication:rait_alexius-2021-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1849
        ],
        "date_end": "2022-03-15",
        "date_start": "2021-09-15",
        "matrikelnr": "11777774",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "k-nearest neighbors",
            "photon mapping",
            "parallel optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 198,
                "image_height": 199,
                "name": "rait_alexius-2021-baa-image.png",
                "type": "image/png",
                "size": 47394,
                "path": "Publication:rait_alexius-2021-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rait_alexius-2021-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 13322204,
                "path": "Publication:rait_alexius-2021-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/rait_alexius-2021-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/rait_alexius-2021-baa/",
        "__class": "Publication"
    },
    {
        "id": "Zeng_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data-Driven Colormap Adjustment for Exploring Spatial Variations in Scalar Fields",
        "date": "2021-09-01",
        "abstract": "Colormapping is an effective and popular visualization technique for analyzing patterns in scalar fields. Scientists usually adjust a default colormap to show hidden patterns by shifting the colors in a trial-and-error process. To improve efficiency, efforts have been made to automate the colormap adjustment process based on data properties (e.g., statistical data value or distribution). However, as the data properties have no direct correlation to the spatial variations, previous methods may be insufficient to reveal the dynamic range of spatial variations hidden in the data. To address the above issues, we conduct a pilot analysis with domain experts and summarize three requirements for the colormap adjustment process. Based on the requirements, we formulate colormap adjustment as an objective function, composed of a boundary term and a fidelity term, which is flexible enough to support interactive functionalities. We compare our approach with alternative methods under a quantitative measure and a qualitative user study (25 participants), based on a set of data with broad distribution diversity. We further evaluate our approach via three case studies with six domain experts. Our method is not necessarily more optimal than alternative methods of revealing patterns, but rather is an additional color adjustment option for exploring data with a dynamic range of spatial variations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 576,
            "image_height": 323,
            "name": "Zeng_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 41637,
            "path": "Publication:Zeng_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1883,
            1884,
            1590,
            1885,
            1886,
            171,
            1887
        ],
        "doi": "10.1109/TVCG.2021.3109014",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "15",
        "volume": "9",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 576,
                "image_height": 323,
                "name": "Zeng_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 41637,
                "path": "Publication:Zeng_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Zeng_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 23696916,
                "path": "Publication:Zeng_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/Zeng_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Zeng_2021/",
        "__class": "Publication"
    },
    {
        "id": "magg2021",
        "type_id": "inproceedings",
        "tu_id": 300509,
        "repositum_id": "20.500.12708/58638",
        "title": "Visual Assessment of Growth Prediction in Brain Structures after Pediatric Radiotherapy",
        "date": "2021-09",
        "abstract": "Pediatric brain tumor radiotherapy research is investigating how radiation influences the development and function of a pa-\ntient’s brain. To better understand how brain growth is affected by the treatment, the brain structures of the patient need to be\nexplored and analyzed pre- and post-treatment. In this way, anatomical changes are observed over a long period, and are as-\nsessed as potential early markers of cognitive or functional damage. In this early work, we propose an automated approach for\nthe visual assessment of the growth prediction of brain structures in pediatric brain tumor radiotherapy patients. Our approach\nreduces the need for re-segmentation, and the time required for it. We employ as a basis pre-treatment Computed Tomography\n(CT) scans with manual delineations (i.e., segmentation masks) of specific brain structures of interest. These pre-treatment\nmasks are used as initialization, to predict the corresponding masks on multiple post-treatment follow-up Magnetic Resonance\n(MR) images, using an active contour model approach. For the accuracy quantification of the automatically predicted post-\ntreatment masks, a support vector regressor (SVR) with features related to geometry, intensity, and gradients is trained on the\npre-treatment data. Finally, a distance transform is employed to calculate the distances between pre- and post-treatment data\nand to visualize the predicted growth of a brain structure, along with its respective accuracy. Although segmentations of larger\nstructures are more accurately predicted, the growth behavior of all structures is learned correctly, as indicated by the SVR\nresults. This suggests that our pipeline is a positive initial step for the visual assessment of brain structure growth predictio",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 609,
            "preview_image_height": 541,
            "name": "magg2021-.pdf",
            "type": "application/pdf",
            "size": 1423124,
            "path": "Publication:magg2021",
            "preview_name": "magg2021-:preview.PNG",
            "preview_type": "image/png",
            "preview_size": 209086,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1860,
            1863,
            1445,
            1864,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2021).",
        "cfp": {
            "name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "229013",
            "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.2312/vcbm.20211343",
        "event": "EG VCBM 2021",
        "lecturer": [
            1860
        ],
        "pages": "5",
        "pages_from": "31",
        "pages_to": "35",
        "publisher": "Eurographics Association",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 609,
                "preview_image_height": 541,
                "name": "magg2021-.pdf",
                "type": "application/pdf",
                "size": 1423124,
                "path": "Publication:magg2021",
                "preview_name": "magg2021-:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 209086,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/magg2021-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/magg2021/",
        "__class": "Publication"
    },
    {
        "id": "batik-2021-gd",
        "type_id": "poster",
        "tu_id": 300510,
        "repositum_id": "20.500.12708/55642",
        "title": "Mixed Metro Maps with User-Specied Motifs",
        "date": "2021-09",
        "abstract": "In this poster, we propose an approach to generalize mixed metro map layouts with user-deﬁned shapes for route-ﬁnding and ad-vertisement purposes. In a mixed layout, speciﬁc lines are arranged in an iconic shape, and the remaining are in octilinear styles. The shape is expected to be recognizable, while the layout still fulﬁlling the classical octilinear design criteria for metro maps. The approach is in three steps, where we ﬁrst search for the best ﬁtting edge segment that approximates the guide shape and utilize least squares optimization to synthesize the layout automatically.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1637,
            "image_height": 1030,
            "name": "batik-2021-gd-image.png",
            "type": "image/png",
            "size": 116119,
            "path": "Publication:batik-2021-gd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date,authors",
        "repositum_presentation_id": null,
        "authors": [
            1830,
            1699,
            1579,
            1877,
            1464
        ],
        "cfp": {
            "name": "cfp2-gd2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "90251",
            "orig_name": "cfp2-gd2021.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-09-14",
        "date_to": "2021-09-17",
        "event": "29th International Symposium on Graph Drawing and Network Visualization",
        "location": "Tübingen",
        "pages": "4",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1637,
                "image_height": 1030,
                "name": "batik-2021-gd-image.png",
                "type": "image/png",
                "size": 116119,
                "path": "Publication:batik-2021-gd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "batik-2021-gd-paper.pdf",
                "type": "application/pdf",
                "size": 1561630,
                "path": "Publication:batik-2021-gd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/batik-2021-gd-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/batik-2021-gd/",
        "__class": "Publication"
    },
    {
        "id": "Radwan_2021_Occ",
        "type_id": "journalpaper",
        "tu_id": 300508,
        "repositum_id": "20.500.12708/58637",
        "title": "Fast occlusion-based point cloud exploration",
        "date": "2021-09",
        "abstract": "Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appropriate subset from out-of-core storage for rendering the current view. However, as soon as we need structures within the point cloud, e.g., for interactions between objects, the construction of state-of-the-art data structures requires O(NlogN) time for N points, which is not feasible in real time for millions of points that are possibly updated in each frame. Therefore, we propose to use a surface representation structure which trades off the (here negligible) disadvantage of single-frame use for both output-dominated and near-linear construction time in practice, exploiting the inherent 2D property of sampled surfaces in 3D. This structure tightly encompasses the assumed surface of unstructured points in a set of bounding depth intervals for each cell of a discrete 2D grid. The sorted depth samples in the structure permit fast surface queries, and on top of that an occlusion graph for the scene comes almost for free. This graph enables novel real-time user operations such as revealing partially occluded objects, or scrolling through layers of occluding objects, e.g., walls in a building. As an example application we showcase a 3D scene exploration framework that enables fast, more sophisticated interactions with point clouds rendered in real time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 533,
            "image_height": 746,
            "name": "Radwan_2021_Occ-.png",
            "type": "image/png",
            "size": 645321,
            "path": "Publication:Radwan_2021_Occ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            923,
            948,
            193
        ],
        "booktitle": "The Visual Computer",
        "cfp": {
            "name": "CGI-call for papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1893892",
            "orig_name": "CGI-call for papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-09-06",
        "date_to": "2021-09-10",
        "doi": "10.1007/s00371-021-02243-x",
        "event": "Computer Graphics International 2021",
        "first_published": "2021-07-28",
        "issn": "1432-2315",
        "journal": "The Visual Computer Journal",
        "lecturer": [
            923
        ],
        "location": "online",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "2769",
        "pages_to": "2781",
        "publisher": "Springer",
        "volume": "37",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Software",
            "Computer Graphics and Computer-Aided Design",
            "Computer Vision and Pattern Recognition"
        ],
        "weblinks": [
            {
                "href": "https://rdcu.be/ctQay",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 533,
                "image_height": 746,
                "name": "Radwan_2021_Occ-.png",
                "type": "image/png",
                "size": 645321,
                "path": "Publication:Radwan_2021_Occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Radwan_2021_Occ-paper.pdf",
                "type": "application/pdf",
                "size": 2364366,
                "path": "Publication:Radwan_2021_Occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/Radwan_2021_Occ-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Radwan_2021_Occ/",
        "__class": "Publication"
    },
    {
        "id": "musleh_maath_2021_mam",
        "type_id": "poster",
        "tu_id": 300507,
        "repositum_id": "20.500.12708/58636",
        "title": "Agritology: A Decision Support System for Local Farmers in Malta and Palestine",
        "date": "2021-09",
        "abstract": " In this project, we are utilizing the potential of Semantic Web in organizing shareable knowledge. We constructed an ontology of the farming process that is reusable and interoperable in the domain of Agriculture. The ontology supports the decision making of farmers in Malta and Palestine. The web application uses the ontology to share knowledge based primarily on user input and other external data sources. In addition to English, information is also presented in Maltese and Arabic in aim to preserve domain-specific vocabulary in these languages.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "GUI of the Solution",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 847,
            "image_height": 784,
            "name": "musleh_maath_2021_mam-image.png",
            "type": "image/png",
            "size": 188463,
            "path": "Publication:musleh_maath_2021_mam",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            5215,
            1867
        ],
        "cfp": {
            "name": "3rd International Workshop on Semantics for Biodiversity.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "141009",
            "orig_name": "3rd International Workshop on Semantics for Biodiversity.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-09-11",
        "date_to": "2021-09-18",
        "event": "3rd International Workshop on Semantics for Biodiversity (S4BioDiv)",
        "journal": "CEUR Workshop Proceedings ",
        "location": "Bolzano, Italy",
        "open_access": "yes",
        "pages": "5",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Semantic Web",
            "Urban Agriculture",
            "Ontology"
        ],
        "weblinks": [
            {
                "href": "http://ceur-ws.org/Vol-2969/paper3-s4biodiv.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "GUI of the Solution",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 847,
                "image_height": 784,
                "name": "musleh_maath_2021_mam-image.png",
                "type": "image/png",
                "size": 188463,
                "path": "Publication:musleh_maath_2021_mam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/musleh_maath_2021_mam-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath_2021_mam/",
        "__class": "Publication"
    },
    {
        "id": "musleh_maath-2021-mam1",
        "type_id": "inproceedings",
        "tu_id": 300419,
        "repositum_id": "20.500.12708/55641",
        "title": "Visual Analysis of Industrial Multivariate Time Series",
        "date": "2021-09",
        "abstract": "The recent development in the data analytics field provides a boost in production for modern industries. Small-sized factories intend to take full advantage of the data collected by sensors used in their machinery. The ultimate goal is to minimize cost and maximize quality, resulting in an increase in profit. In collaboration with domain experts, we implemented a data visualization tool to enable decision-makers in a plastic factory to improve their production process. We investigate three different aspects: methods for preprocessing multivariate time series data, clustering approaches for the already refined data, and visualization techniques that aid domain experts in gaining insights into the different stages of the production process. Here we present our ongoing results grounded in a human-centered development process. We adopt a formative evaluation approach to continuously upgrade our dashboard design that eventually meets partners' requirements and follows the best practices within the field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "GUI of the Solution",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 916,
            "image_height": 621,
            "name": "musleh_maath-2021-mam1-image.png",
            "type": "image/png",
            "size": 369431,
            "path": "Publication:musleh_maath-2021-mam1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1867,
            5213,
            5214
        ],
        "address": "New York, NY, USA",
        "booktitle": "The 14th International Symposium on Visual Information Communication and Interaction",
        "cfp": {
            "name": "Submissions - VINCI 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "2566211",
            "orig_name": "Submissions - VINCI 2021.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-09-06",
        "date_to": "2021-09-08",
        "doi": "10.1145/3481549.3481557",
        "editor": "Karsten Klein, Michael Burch, Daniel Limberger, Matthias Trapp",
        "event": "VINCI 2021: The 14th International Symposium on Visual Information Communication and Interaction",
        "first_published": "2021-09",
        "isbn": "9781450386470",
        "lecturer": [
            1867
        ],
        "location": "Potsdam, germany",
        "note": "Best Short Paper Award",
        "open_access": "no",
        "pages": "5",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": "Association for Computing Machinery",
        "series": "VINCI 2021",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "time series data",
            "unsupervised machine learning",
            "visualization"
        ],
        "weblinks": [
            {
                "href": "https://dl.acm.org/doi/10.1145/3481549.3481557",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "GUI of the Solution",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 916,
                "image_height": 621,
                "name": "musleh_maath-2021-mam1-image.png",
                "type": "image/png",
                "size": 369431,
                "path": "Publication:musleh_maath-2021-mam1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/musleh_maath-2021-mam1-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam1/",
        "__class": "Publication"
    },
    {
        "id": "pahr-2021-vologram",
        "type_id": "inproceedings",
        "tu_id": 300436,
        "repositum_id": "20.500.12708/58633",
        "title": "Vologram: An Educational Holographic Sculpture for Volumetric Medical Data Physicalization",
        "date": "2021-09",
        "abstract": "Real-world sculptures that display patient imaging data for anatomical education purposes have seen a recent resurgence through the field of data physicalization. In this paper, we describe an automated process for the computer-assisted generation of sculptures that can be employed for anatomical education among the general population. We propose a workflow that supports non-expert users to generate and physically display volumetric medical data in a visually appealing and engaging way. Our approach generates slide-based, interactive sculptures-called volograms-that resemble holograms of underlying medical data. The volograms are made out of affordable and readily available materials (e.g., transparent foils and cardboard) and can be produced through commonly available means. To evaluate the educational value of the proposed approach with our target audience, we assess the volograms, as opposed to classical, on-screen medical visualizations in a user study. The results of our study, while highlighting current weaknesses of our physicalization, also point to interesting future directions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4032,
            "image_height": 3024,
            "name": "pahr-2021-vologram-Image.JPG",
            "type": "image/jpeg",
            "size": 954594,
            "path": "Publication:pahr-2021-vologram",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1813,
            1464,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "cfp": {
            "name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "446938",
            "orig_name": "Full, Short & Survey Papers – VCBM 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.2312/vcbm.20211341",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "issn": "2070-5786",
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "lecturer": [
            1813
        ],
        "pages": "5",
        "pages_from": "19",
        "pages_to": "23",
        "publisher": "Eurographics Association",
        "volume": "VCBM 2021",
        "research_areas": [
            "Fabrication",
            "IllVis",
            "MedVis"
        ],
        "keywords": [
            "Physicalization",
            "Anatomy Education"
        ],
        "weblinks": [
            {
                "href": "https://doi.org/10.2312/vcbm.20211341",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4032,
                "image_height": 3024,
                "name": "pahr-2021-vologram-Image.JPG",
                "type": "image/jpeg",
                "size": 954594,
                "path": "Publication:pahr-2021-vologram",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "pahr-2021-vologram-Video.mp4",
                "type": "video/mp4",
                "size": 138438430,
                "path": "Publication:pahr-2021-vologram",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/pahr-2021-vologram-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pahr-2021-vologram/",
        "__class": "Publication"
    },
    {
        "id": "eibens-2021-tsgpmg",
        "type_id": "inproceedings",
        "tu_id": 300511,
        "repositum_id": "20.500.12708/58634",
        "title": "Temporal-Scope Grammars for Polyphonic Music Generation",
        "date": "2021-08-27",
        "abstract": "We present temporal-scope grammars for automatic composition of polyphonic music. In the context of this work, polyphony can refer to any arrangement of musical entities (notes, chords, measures, etc.) that is not purely sequential in the time dimension. Given that the natural output of a grammar is a sequence, the generation of sequential structures, such as melodies, harmonic progressions, and rhythmic patterns, follows intuitively. By contrast, we associate each musical entity with an independent temporal scope, allowing the representation of arbitrary note arrangements on every level of the grammar. With overlapping entities we can model chords, drum patterns, and parallel voices – polyphony on small and large scales. We further propose the propagation of sub-grammar results through the derivation tree for synchronizing independently generated voices. For example, we can synchronize the notes of a melody and bass line by reading from a shared harmonic progression.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumb",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 679,
            "image_height": 660,
            "name": "eibens-2021-tsgpmg-thumb.png",
            "type": "image/png",
            "size": 11252,
            "path": "Publication:eibens-2021-tsgpmg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1362,
            1303,
            193
        ],
        "address": "New York, NY, USA",
        "booktitle": "Proceedings of the 9th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design (FARM ’21)",
        "cfp": {
            "name": "FARM - FARM 2021 CFP.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "3140755",
            "orig_name": "FARM - FARM 2021 CFP.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-08-27",
        "date_to": "2021-08-27",
        "doi": "10.1145/3471872.3472971",
        "event": "ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design",
        "first_published": "2021-08-27",
        "isbn": "978-1-4503-8613-5/21/08",
        "lecturer": [
            1362
        ],
        "location": "Virtual",
        "open_access": "no",
        "pages": "12",
        "pages_from": "23",
        "pages_to": "34",
        "publisher": "ACM Press",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "algorithmic composition",
            "music",
            "domain specific language"
        ],
        "weblinks": [
            {
                "href": "https://github.com/eibens/farm-2021",
                "caption": "demo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eibens-2021-tsgpmg-preprint.pdf",
                "type": "application/pdf",
                "size": 677499,
                "path": "Publication:eibens-2021-tsgpmg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumb",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 679,
                "image_height": 660,
                "name": "eibens-2021-tsgpmg-thumb.png",
                "type": "image/png",
                "size": 11252,
                "path": "Publication:eibens-2021-tsgpmg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/eibens-2021-tsgpmg-thumb:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibens-2021-tsgpmg/",
        "__class": "Publication"
    },
    {
        "id": "Nowak_2021",
        "type_id": "masterthesis",
        "tu_id": 300512,
        "repositum_id": "20.500.12708/79755",
        "title": "Interactive Correlation Panels for the Geological Mapping of the Martian Surface",
        "date": "2021-08-09",
        "abstract": "In recent years, digital outcrop models have become a popular tool to carry out geological investigations on the computer. These high-resolution, 3-dimensional models of outcrops are also created for the exploration of Mars. With specialized software, geologists can annotate geological attributes on digital outcrop models, such as the boundaries between di˙erent rock layers. After annotating, geologists create logs, a graphic description of the rock layers. To establish a geological model of a larger region, corresponding layers are correlated in multiple logs. The correlated layers of the logs are graphically linked in a correlation panel. Creating correlation panels is very time-consuming, and they are usually created by hand with drawing programs. Due to this restriction, the diagrams are created at the end of the interpretation process to avoid time-consuming editing afterwards. When switching to a drawing program, the connection between the original data and the encoded data in the diagram is also lost. This work is part of a design study with the aim of automating the creation of correlation panels, and turning a static illustration into an interactive application that can be integrated into the interpretation process. In this work, after a short introduction to the exploration of Mars with the help of geology, we analyse published correlation panels to explore the design space of these illustrations. In addition to that analysis we conducted workshops and a research stay at Imperial College London with our domain collaborators. Using the information gained from the analysis and our collaborators, we describe possible design choices, and extract the minimum requirements for a prototype. The prototype created in the course of this work was later extended and presented in a paper that encompasses the whole design study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 678,
            "image_height": 348,
            "name": "Nowak_2021-image.JPG",
            "type": "image/jpeg",
            "size": 47583,
            "path": "Publication:Nowak_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1817
        ],
        "date_end": "2021-08-09",
        "date_start": "2019-10-09",
        "diploma_examina": "2021-08-09",
        "matrikelnr": "00626227",
        "open_access": "yes",
        "pages": "133",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual analytics",
            "2D-3D integration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 678,
                "image_height": 348,
                "name": "Nowak_2021-image.JPG",
                "type": "image/jpeg",
                "size": 47583,
                "path": "Publication:Nowak_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Nowak_2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 3965095,
                "path": "Publication:Nowak_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Nowak_2021-Poster.pdf",
                "type": "application/pdf",
                "size": 1682015,
                "path": "Publication:Nowak_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/Nowak_2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Nowak_2021/",
        "__class": "Publication"
    },
    {
        "id": "Mortezapoor2021ssc",
        "type_id": "inproceedings",
        "tu_id": 300514,
        "repositum_id": "20.500.12708/58640",
        "title": "Safety and Security Challenges for Collaborative Robotics in VR",
        "date": "2021-08-06",
        "abstract": "Virtual reality (VR) security and privacy are not limited to existing software solutions and applications. In this article, we present to the community the challenges of VR systems with robot integration. Integrating robots under ROS poses a massive risk in terms of data security. At the same time, using a robot for simulations in VR requires, first and foremost, the user's safety - hence redundant data collection and sharing. We want to draw the community's attention to these problems through our example in order to ensure that such systems are thoroughly developed in all directions and well prepared for further deployment to the consumer market. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 670,
            "image_height": 699,
            "name": "Mortezapoor2021ssc-image.png",
            "type": "image/png",
            "size": 653220,
            "path": "Publication:Mortezapoor2021ssc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1881,
            1712
        ],
        "booktitle": "Proceedings of the 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021",
        "cfp": {
            "name": "home_call.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "367194",
            "orig_name": "home_call.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-08-06",
        "event": "The 1st International Workshop on Security for XR and XR for Security (VR4Sec) at Symposium On Usable Privacy and Security (SOUPS) 2021",
        "lecturer": [
            1881
        ],
        "open_access": "yes",
        "pages": "4",
        "pages_from": "1",
        "pages_to": "4",
        "publisher": "USENIX Conference Proceedings",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "robotics",
            "security",
            "Virtual Reality",
            "ROS"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 670,
                "image_height": 699,
                "name": "Mortezapoor2021ssc-image.png",
                "type": "image/png",
                "size": 653220,
                "path": "Publication:Mortezapoor2021ssc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mortezapoor2021ssc-paper.pdf",
                "type": "application/pdf",
                "size": 1932989,
                "path": "Publication:Mortezapoor2021ssc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/Mortezapoor2021ssc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mortezapoor2021ssc/",
        "__class": "Publication"
    },
    {
        "id": "Heinzl2021",
        "type_id": "habilthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Analysis of X-ray Computed Tomography Data",
        "date": "2021-07-16",
        "abstract": "Visualization and analysis of primary and secondary X-ray computed tomography (XCT) data has become highly attractive for boosting research endeavors in the materials science domain. On the one hand, XCT allows to generate detailed and cumulative data of the specimens under investigation\nin a non-destructive way. On the other hand, through the conception, the development, and the implementation of novel, tailored analysis and visualization techniques, in-depth investigations of complex material systems turned into reality, e.g., in the form of interactive visualization of\nspatial and quantitative data, uncertainty quantification and visualization, comparative visualization, ensemble analysis and visualization, visual parameter space analysis, and many others.\nVisual analysis of XCT data enables a detailed understanding of the internal structures and the characteristics of materials and thus facilitates studies on a multitude of phenomena, at multiple scales, in different dimensions, or even using different modalities. This was simply impossible\nbefore. This habilitation thesis presents contributions to computer science in terms of novel methodsand techniques as well as respective algorithms and data structures, which are advancing visual analysis and visualization for enabling insights into XCT data on material systems. The introduced\nmethods and techniques focus on three distinct technical areas of visual analysis and visualization of XCT data. For each area, the problem statements, important research questions to be solved as well as the contributions of the habilitation candidate are discussed:\n1. Interactive visualization of spatial and quantitative data: Visualization and analysis techniques are introduced in this thesis for exploring, encoding, connecting, abstracting\nelaborating, reconfiguring, filtering, and finally selecting in \"rich\" XCT data. To reveal insights into complex objects, MObjects (i.e., mean objects) is discussed as a novel aggregation and exploration technique, which computes average volumetric representations from selections of individual objects of interest. To analyze various of these mean objects and to compare them with regards to their individual characteristics, visual analysis techniques as presented in FiberScout facilitate a detailed exploration of primary spatial data together with derived quantitative data (i.e., secondary data).\n2. Visual parameter space analysis (vPSA): The contributions towards vPSA focus on concepts for exploring and analyzing the space of possible parameter combinations of algorithms, models, and data processing pipelines as well as their effects on the ensemble of results. The presented methods and techniques visually guide users in finding adequate\ninput parameter sets, leading to optimal output results. In particular, the vPSA of segmentation and reconstruction algorithms is investigated. Similarity Metrics are introduced for comparing features as well as their characteristics.\n3. Comparative visualization and ensemble analysis: The comparison of larger sets of ensemble members as generated by vPSA is difficult, tedious, and error-prone, which is often\nexacerbated by subtle differences in the individual members. Here, techniques are presented to study the differences between multiple results regarding their visual representation as well as their characteristics. Dynamic Volume Lines is a novel technique for the visual analysis and comparison of large sets of 3D volumes using linearization methods combined with interactive data exploration. This technique is accompanied by a comparative visualization in the spatial domain to establish a link between the abstracted data and real world representations.\nFinally, in terms of visualization theory and modeling, this thesis abstracts the characteristics of visual parameter space analysis in a holistic conceptual framework. It also classifies and frames the novel area of visual computing in materials science, identifying research gaps within this\ndomain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 472,
            "image_height": 326,
            "name": "Heinzl2021-image.JPG",
            "type": "image/jpeg",
            "size": 32717,
            "path": "Publication:Heinzl2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611
        ],
        "date_end": "2021-07-16",
        "date_start": "2010-01-01",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "HABILITATION THESIS",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Heinzl2021-HABILITATION THESIS.pdf",
                "type": "application/pdf",
                "size": 26448758,
                "path": "Publication:Heinzl2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-HABILITATION THESIS:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 472,
                "image_height": 326,
                "name": "Heinzl2021-image.JPG",
                "type": "image/jpeg",
                "size": 32717,
                "path": "Publication:Heinzl2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/Heinzl2021-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Heinzl2021/",
        "__class": "Publication"
    },
    {
        "id": "kerbl_2021_hdg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Providing Highly Detailed Geometry for Cloud and Edge Real-Time Rendering",
        "date": "2021-07-07",
        "abstract": "Mesh shading was recently introduced as a topical GPU feature in the NVIDIA Turing and AMD RDNA2 GPU architectures, offering an alternative pathway for executing the transformation, generation and augmentation of geometry for hardware rasterization. Future trends in game development will rely on mesh shading and “meshlets”, using highly detailed meshes with deep level of detail hierarchies. Particularly powerful applications of meshlets include arbtirary culling and subdivision methods. Furthermore, advanced pre-computation include visibility and lighting information that can be stored on a per-meshlet basis, thus promoting the compression of attributes through quantization and the acceleration of computations via hierarchical processing.\n\nAlthough meshlets can be comprised from arbitrary assemblages of primitives, their benefits are highest when meshlet formation is done in a way that already takes the usecase into account. Individual formation procedures can be defined in order to achieve specific goals. As an example, we may generate meshlets that are optimized for global illumination techniques, by minimizing their curvature and variance in material coefficients. Incoming light can then be ray-traced and cached per meshlet, along with view-dependent variance encoded in a discretized data structure. More uniform meshlets thus require less data transferred for accurately approximating their global illumination, reducing the consumption of critical memory bandwidth. We may also partition entire scenes into meshlets that foster fast visibility culling for large groups of primitives, without transforming even a single vertex. In fact, meshlet formation policies can leverage arbitrary attributes, such as the distribution of UV coordinates, ambient occlusion or mesh topology in order to optimize them according to desired runtime criteria. Cloud gaming offers a unique opportunity for leveraging this technology at a larger scale: dedicated data storages and servers can maintain multiple copies of complex triangle meshes, each partitioned by a particular meshlet formation policy. A live monitor can react to a specific bottleneck by dynamically switching meshlets to best accommodate the current GPU resource requirements. In this talk, we will present the various possibilities for real-time rendering to benefit from mesh shading by means of optimized meshlet formation procedures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1037,
            "image_height": 985,
            "name": "kerbl_2021_hdg-teaser.png",
            "type": "image/png",
            "size": 330411,
            "path": "Publication:kerbl_2021_hdg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1650
        ],
        "event": "InnovWave 2021",
        "location": "online",
        "open_access": "no",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "cloud",
            "real-time",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1037,
                "image_height": 985,
                "name": "kerbl_2021_hdg-teaser.png",
                "type": "image/png",
                "size": 330411,
                "path": "Publication:kerbl_2021_hdg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/kerbl_2021_hdg-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kerbl_2021_hdg/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2021-PCC",
        "type_id": "journalpaper",
        "tu_id": 300515,
        "repositum_id": "20.500.12708/58641",
        "title": "Rendering Point Clouds with Compute Shaders and Vertex Order Optimization",
        "date": "2021-07-01",
        "abstract": "While commodity GPUs provide a continuously growing range of features and sophisticated methods for accelerating compute jobs, many state-of-the-art solutions for point cloud rendering still rely on the provided point primitives (GL_POINTS, POINTLIST, ...) of graphics APIs for image synthesis. In this paper, we present several compute-based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute-based methods. Beyond basic closest-point rendering, we also introduce a fast, high-quality variant to reduce aliasing. We present and evaluate several variants of our proposed methods with different flavors of optimization, in order to ensure their applicability and achieve optimal performance on a range of platforms and architectures with varying support for novel GPU hardware features. During our experiments, the observed peak performance was reached rendering 796 million points (12.7GB) at rates of 62 to 64 frames per second (50 billion points per second, 802GB/s) on an RTX 3090 without the use of level-of-detail structures.\n\nWe further introduce an optimized vertex order for point clouds to boost the efficiency of GL_POINTS by a factor of 5x in cases where hardware rendering is compulsory. We compare different orderings and show that Morton sorted buffers are faster for some viewpoints, while shuffled vertex buffers are faster in others. In contrast, combining both approaches by first sorting according to Morton-code and shuffling the resulting sequence in batches of 128 points leads to a vertex buffer layout with high rendering performance and low sensitivity to viewpoint changes.  ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "fragcount",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1299,
            "image_height": 985,
            "name": "SCHUETZ-2021-PCC-fragcount.jpg",
            "type": "image/jpeg",
            "size": 836239,
            "path": "Publication:SCHUETZ-2021-PCC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1650,
            193
        ],
        "booktitle": "techreport",
        "cfp": {
            "name": "call-for-papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "6107441",
            "orig_name": "call-for-papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-06-29",
        "date_to": "2021-07-02",
        "doi": "10.1111/cgf.14345",
        "event": "Eurographics Symposium on Rendering 2021 (EGSR '21)",
        "first_published": "2021-07",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1116
        ],
        "location": "online",
        "number": "4",
        "open_access": "yes",
        "pages": "12",
        "pages_from": "115",
        "pages_to": "126",
        "publisher": "Eurographics Association",
        "volume": "40",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point-based rendering",
            "compute shader",
            "real-time rendering"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/compute_rasterizer",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "appendix",
                "filetitle": "appendix",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2021-PCC-appendix.pdf",
                "type": "application/pdf",
                "size": 5715741,
                "path": "Publication:SCHUETZ-2021-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-appendix:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "fragcount",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1299,
                "image_height": 985,
                "name": "SCHUETZ-2021-PCC-fragcount.jpg",
                "type": "image/jpeg",
                "size": 836239,
                "path": "Publication:SCHUETZ-2021-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-fragcount:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2021-PCC-paper.pdf",
                "type": "application/pdf",
                "size": 4255515,
                "path": "Publication:SCHUETZ-2021-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 625,
                "name": "SCHUETZ-2021-PCC-teaser.jpg",
                "type": "image/jpeg",
                "size": 722844,
                "path": "Publication:SCHUETZ-2021-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/SCHUETZ-2021-PCC-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "d4386",
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-PCC/",
        "__class": "Publication"
    },
    {
        "id": "roth_2021_vdst",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "View-Dependent Surrogate Terminals for Procedural Geometry Generation",
        "date": "2021-07",
        "abstract": "Procedural geometry generation plays an ever-increasing role in the movie- and video\ngaming industry. Shape grammars have established themselves as the preferred solution\nfor procedural architecture generation. Research in past decades drastically improved the\nspeed of geometry derivation through shape grammars, making it possible to generate\n3D buildings on-demand and in real-time. However, the constantly rising demand for\nhigh-quality visualizations requires new measures to reduce complexity in 3D models\ngenerated by shape grammars without sacrificing visual quality. This thesis explores\nthe feasibility and benefits of inserting view-dependent surrogate terminals into a shape\ngrammar. Surrogate terminals end grammar derivation early and approximate finer\ndetails with pre-rendered images. We find a possible solution for implementing view-dependent\nsurrogate terminals and describe a scheme to automatically insert them into a\nshape grammar. Results show that contrary to previous approaches, our method avoids\nthe generation of visibly incomplete geometry. However, even though the modified shape\ngrammars evaluate faster than the original in large scenes, previous methods provide a\nmore significant performance gain. We conclude that view-dependent surrogate terminals\nprovide promising results, but further optimization is necessary to match the performance\nof prior techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1920,
            "image_height": 1920,
            "name": "roth_2021_vdst-teaser.png",
            "type": "image/png",
            "size": 6785839,
            "path": "Publication:roth_2021_vdst",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1847
        ],
        "date_end": "2021-07",
        "date_start": "2020-08",
        "matrikelnr": "01633060",
        "supervisor": [
            1558
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "procedural geometry",
            "real-time",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1920,
                "name": "roth_2021_vdst-teaser.png",
                "type": "image/png",
                "size": 6785839,
                "path": "Publication:roth_2021_vdst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "roth_2021_vdst-Thesis.pdf",
                "type": "application/pdf",
                "size": 31209353,
                "path": "Publication:roth_2021_vdst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/roth_2021_vdst-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/roth_2021_vdst/",
        "__class": "Publication"
    },
    {
        "id": "Diehl_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 300516,
        "repositum_id": "20.500.12708/138614",
        "title": "Hornero: Thunderstorms Characterization using Visual Analytics",
        "date": "2021-06-29",
        "abstract": "Analyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic analysis and prediction of storm developments. However, they lack advanced visual features for efficient decision-making. We developed a visual analytics tool for the detection of hazardous thunderstorms and their characterization, using a visual design centered on a reformulated expert task workflow that includes visual features to overview storms and quickly identify high-impact weather events, a novel storm graph visualization to inspect and analyze the storm structure, as well as a set of interactive views for efficient identification of similar storm cells (known as analogs) in historical data and their use for nowcasting. Our tool was designed with and evaluated by meteorologists and expert forecasters working in short-term operational weather forecasting of severe weather events. Results show that our solution suits the forecasters' workflow. Our visual design is expressive, easy to use, and effective for prompt analysis and quick decision-making in the context of short-range operational weather forecasting.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 780,
            "image_height": 304,
            "name": "Diehl_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 48560,
            "path": "Publication:Diehl_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1121,
            5275,
            1529,
            1184,
            166,
            161
        ],
        "doi": "10.1111/cgf.14308",
        "first_published": "2021-06-29",
        "journal": "Computer Graphics Forum",
        "number": "3",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "12",
        "volume": "40",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 780,
                "image_height": 304,
                "name": "Diehl_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 48560,
                "path": "Publication:Diehl_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Diehl_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 54133751,
                "path": "Publication:Diehl_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/Diehl_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Diehl_2021/",
        "__class": "Publication"
    },
    {
        "id": "musleh_maath-2021-mam2",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Industrial Multivariate Time-Series Data: Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data",
        "date": "2021-06-21",
        "abstract": "Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. This project aims to process, cluster and visualise sensory data of a blow moulding machine in a plastic production factory. In collaboration with Lean Automation, we aim to develop a data visualisation solution to enable decision-makers in a plastic factory to improve their production process. We will investigate three different aspects of the solution: methods for processing multivariate time-series data, clustering approaches for the sensory-data cultivated, and visualisation techniques that maximises production process insights. We use a formative evaluation method to develop a solution that meets partners' requirements and best practices within the field. Through building the MTSI dashboard tool, we hope to answer questions on optimal techniques to represent, cluster and visualise multivariate time series data. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "GUI interaction snaps",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 861,
            "image_height": 597,
            "name": "musleh_maath-2021-mam2-image.png",
            "type": "image/png",
            "size": 243258,
            "path": "Publication:musleh_maath-2021-mam2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1867
        ],
        "date_end": "2021-06",
        "date_start": "2021-01",
        "diploma_examina": "2021-06-21",
        "matrikelnr": "19860127-T631",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "multivariate time-series",
            "visual analytics",
            "automated factories"
        ],
        "weblinks": [
            {
                "href": "https://lnu.diva-portal.org/smash/get/diva2:1570718/FULLTEXT01.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "GUI interaction snaps",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 861,
                "image_height": 597,
                "name": "musleh_maath-2021-mam2-image.png",
                "type": "image/png",
                "size": 243258,
                "path": "Publication:musleh_maath-2021-mam2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/musleh_maath-2021-mam2-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/musleh_maath-2021-mam2/",
        "__class": "Publication"
    },
    {
        "id": "Troidl_2021",
        "type_id": "masterthesis",
        "tu_id": 300521,
        "repositum_id": "20.500.12708/18083",
        "title": "Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures",
        "date": "2021-06-04",
        "abstract": "Recent high-resolution electron microscopy imaging allows neuroscientists to reconstruct not just entire cells but individual cell substructures (i.e., cell organelles) as well. Based on these data, scientists hope to get a better understanding of brain function and development through detailed analysis of local organelle neighborhoods. However, in-depth analyses require efficient and scalable comparison of a varying number of cell organelles, ranging from two to hundreds of local spatial neighborhoods. Scientists need to be able to analyze the 3D morphologies of organelles, their spatial distributions and\ndistances, and their spatial correlations. This thesis’s central premise is that it is hard to provide a one-size-fits-all comparative visualization solution to support the given broad range of tasks and scales.\nTo address this challenge, we have designed NeuroKit as an easily configurable toolkit that allows scientists to customize the tool’s workflow, visualizations, and supported user interactions to their specific tasks and domain questions. Furthermore, NeuroKit provides a scalable comparative visualization approach for spatial neighborhood analysis of nanoscale brain structures.\nNeuroKit supports small multiples of spatial 3D renderings as well as abstract quantitative visualizations, and arranges them in linked and juxtaposed views. To adapt to new domain-specific analysis scenarios, we allow the definition of individualized visualizations and their parameters for each analysis session. This configurability is tied in with a novel scalable visual comparison approach that automatically adjusts visualizations based on the number of structures that are being compared. We demonstrate an in-depth use case for mitochondria analysis in neuronal tissue and analyze the usefulness of NeuroKit in a qualitative user study with neuroscientists.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2409,
            "image_height": 1405,
            "name": "Troidl_2021-image.png",
            "type": "image/png",
            "size": 388000,
            "path": "Publication:Troidl_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1659
        ],
        "date_end": "2021-06-04",
        "date_start": "2020-07-01",
        "diploma_examina": "2021-06-04",
        "doi": "10.34726/hss.2021.73868",
        "matrikelnr": "01525071",
        "open_access": "yes",
        "pages": "98",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Comparative Visualization",
            "Computational Neuroscience"
        ],
        "weblinks": [
            {
                "href": "https://www.youtube.com/watch?v=cKvuucM3Uoc",
                "caption": "Video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2409,
                "image_height": 1405,
                "name": "Troidl_2021-image.png",
                "type": "image/png",
                "size": 388000,
                "path": "Publication:Troidl_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Troidl_2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 23037648,
                "path": "Publication:Troidl_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Troidl_2021-Poster.pdf",
                "type": "application/pdf",
                "size": 5587850,
                "path": "Publication:Troidl_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/Troidl_2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Troidl_2021/",
        "__class": "Publication"
    },
    {
        "id": "pichler_2022_fro",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Frontend for a photogrammetry webservice",
        "date": "2021-06",
        "abstract": "Subject of this student project is the frontend for a photogrammetry webservice. It consists of an upload page, an editor and the typical bookkeeping of a website.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Point cloud editor",
            "filetitle": "point_cloud_editor",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 914,
            "name": "pichler_2022_fro-point_cloud_editor.jpeg",
            "type": "image/jpeg",
            "size": 396812,
            "path": "Publication:pichler_2022_fro",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor.jpeg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1940
        ],
        "date_end": "2022-06",
        "date_start": "2021-06",
        "matrikelnr": "11933235",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "Frontend",
            "Editor",
            "Photogrammetry"
        ],
        "weblinks": [
            {
                "href": "https://netidee.cg.tuwien.ac.at/",
                "caption": "Pix2Model Live-System",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/ErlerPhilipp/Pix2Model",
                "caption": "Pix2Model Repo",
                "description": null,
                "main_file": 1
            }
        ],
        "files": {
            "1": {
                "description": "100 photos of crocheted elephants (test data)",
                "filetitle": "elephants",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "pichler_2022_fro-elephants.zip",
                "type": "application/x-zip-compressed",
                "size": 184116949,
                "path": "Publication:pichler_2022_fro",
                "preview_name": "pichler_2022_fro-elephants:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 2007553,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-elephants.zip",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-elephants:thumb{{size}}.png"
            },
            "2": {
                "description": "Point cloud editor",
                "filetitle": "point_cloud_editor",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 914,
                "name": "pichler_2022_fro-point_cloud_editor.jpeg",
                "type": "image/jpeg",
                "size": 396812,
                "path": "Publication:pichler_2022_fro",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor.jpeg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-point_cloud_editor:thumb{{size}}.png"
            },
            "3": {
                "description": "Pix2Model tech report draft",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "pichler_2022_fro-report.pdf",
                "type": "application/pdf",
                "size": 4262326,
                "path": "Publication:pichler_2022_fro",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/pichler_2022_fro-report:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend",
            "d4388"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pichler_2022_fro/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2021_BVM",
        "type_id": "WorkshopTalk",
        "tu_id": 300522,
        "repositum_id": "20.500.12708/87250",
        "title": "How to do a Successful PhD (in Visual Computing)",
        "date": "2021-05-20",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 945,
            "image_height": 623,
            "name": "Groeller_2021_BVM-Image.GIF",
            "type": "image/gif",
            "size": 280342,
            "path": "Publication:Groeller_2021_BVM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Image.GIF",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "cfp": {
            "name": "Spring School Program.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "125894",
            "orig_name": "Spring School Program.pdf",
            "ext": "pdf"
        },
        "event": "First Bio+Med+Vis Spring School",
        "lecturer": [
            1410
        ],
        "location": "Online",
        "open_access": "yes",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.dropbox.com/s/4b1wqvv2n291jgz/BioMedVis%20Spring%20School%20_%20How%20to%20do%20a%20Successful%20PhD%20%28in%20Visual%20Computing%29.mp4?dl=0",
                "caption": "Video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 945,
                "image_height": 623,
                "name": "Groeller_2021_BVM-Image.GIF",
                "type": "image/gif",
                "size": 280342,
                "path": "Publication:Groeller_2021_BVM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Image.GIF",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Groeller_2021_BVM-Presentation.pdf",
                "type": "application/pdf",
                "size": 8157272,
                "path": "Publication:Groeller_2021_BVM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/Groeller_2021_BVM-Presentation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Groeller_2021_BVM/",
        "__class": "Publication"
    },
    {
        "id": "scholz_2021",
        "type_id": "masterthesis",
        "tu_id": 300523,
        "repositum_id": "20.500.12708/17807",
        "title": "A Modular Domain-Specific Language for Interactive 3D Visualization ",
        "date": "2021-05-10",
        "abstract": "Visualizing data is an integral part of many scientific disciplines. Due to the complexity of 3D visualizations, their creation usually requires visualization experts. This thesis proposes a system for specifying visualizations without requiring in-depth knowledge about computer graphics. Instead, visualizations are defined in a domain-specific language. This language enables users to easily create and edit 3D visualizations on their own. The language provides configuration capabilities for all aspects of the visualization pipeline, ranging from data transformation up to rendering. Configuring the visualization pipeline is facilitated through a versatile extension mechanism, allowing the definition of modules. Pre-defined modules provide a wide range of 3D visualization techniques, such as volumes or point clouds. Additionally, users can create new modules to support other visualization techniques. Our visualization description is a declarative language specified in a human-readable text format. Due to this format, visualizations created with our language are simple to store and share. Using a text-based format is a natural method for communicating information over the web. Hence, it makes our visualization description easily transferable. Interactivity is another crucial aspect of 3D visualization that our language supports. User events emit messages that the visualization can then use to modify itself. The message system also makes it possible to visualize dynamic data. Modifications of the visualizations pass through our system to automatically analyze the changes. Then just the needed subset of rendering calls to achieve the change execute. With this approach, GPU resources like shaders, buffers, and textures only update when required. This strategy enhances rendering performance and hides implementation detail from the user making the system easier approachable. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3840,
            "image_height": 2160,
            "name": "scholz_2021-image.png",
            "type": "image/png",
            "size": 1337287,
            "path": "Publication:scholz_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1616
        ],
        "co_supervisor": [
            1387
        ],
        "date_end": "2021-05-10",
        "date_start": "2020-07-10",
        "diploma_examina": "2021-05-10",
        "doi": "10.34726/hss.2021.80484",
        "matrikelnr": "01527434",
        "open_access": "yes",
        "pages": "104",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "DSL",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3840,
                "image_height": 2160,
                "name": "scholz_2021-image.png",
                "type": "image/png",
                "size": 1337287,
                "path": "Publication:scholz_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "scholz_2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 10756705,
                "path": "Publication:scholz_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "scholz_2021-Poster.pdf",
                "type": "application/pdf",
                "size": 5250569,
                "path": "Publication:scholz_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/scholz_2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/scholz_2021/",
        "__class": "Publication"
    },
    {
        "id": "Mazza_2021_05",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/17606",
        "title": "Homomorphic-Encrypted Volume Rendering",
        "date": "2021-05-07",
        "abstract": "Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data and rendered image are uninterpretable to the rendering server. Our volume rendering pipeline introduces novel approaches for encrypted-data compositing, interpolation, and opacity modulation, as well as simple transfer function design, where each of these routines maintains the highest level of privacy. We present performance and memory overhead analysis that is associated with our privacy-preserving scheme. Our approach is open and secure by design, as opposed to secure through obscurity. Owners of the data only have to keep their secure key confidential to guarantee the privacy of their volume data and the rendered images. Our work is, to our knowledge, the first privacy-preserving remote volume-rendering approach that does not require that any server involved be trustworthy; even in cases when the server is compromised, no sensitive data will be leaked to a foreign party. Furthermore, we developed a big-integer (multiple-precision, or multiple word integer) library for Vulkan graphics pipeline. It facilitates the rendering of securely encrypted data on the GPU. It supports the calculation of common mathematical operations like addition, subtraction, multiplication, division. Moreover, it supports specialized operations for asymmetric cryptography like modular exponentiation with Montgomery reduction. We also introduce a testing framework for Vulkan that allows the automated testing of big-integer computations on the GPU.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 395,
            "image_height": 335,
            "name": "Mazza_2021_05-Image.JPG",
            "type": "image/jpeg",
            "size": 19131,
            "path": "Publication:Mazza_2021_05",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1035
        ],
        "date_end": "2021-05-07",
        "date_start": "2020-07-10",
        "diploma_examina": "2021-05-07",
        "doi": "10.34726/hss.2021.81045",
        "matrikelnr": "00825828",
        "open_access": "yes",
        "pages": "109",
        "supervisor": [
            171
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Volume Rendering",
            "Transfer Function",
            "Homomorphic-Encryption",
            "Paillier",
            "Big-Integer",
            "GPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 395,
                "image_height": 335,
                "name": "Mazza_2021_05-Image.JPG",
                "type": "image/jpeg",
                "size": 19131,
                "path": "Publication:Mazza_2021_05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mazza_2021_05-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 5437020,
                "path": "Publication:Mazza_2021_05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/Mazza_2021_05-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mazza_2021_05/",
        "__class": "Publication"
    },
    {
        "id": "sakai-2021-eif",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting A Priori Information for Filtering Monte Carlo Renderings",
        "date": "2021-05",
        "abstract": "Monte Carlo rendering techniques are capable of rendering photorealistic images by performing exhaustive stochastic sampling for each pixel but suffer from objectionable noise at low sampling rates.\nA possible way to mitigate this problem is to perform high-dimensional filtering on the rendered image. The effectiveness of this approach is highly dependent on secondary information regarding both the image structure (given as so-called feature buffers) and the recorded noise.\nPrevious approaches commonly use positions and normals as secondary information, and determine the local noise empirically based on the obtained samples.\nIn this work, we propose to take a priori information in the form of scene material descriptions into consideration.\nWe introduce a noise-estimation technique and a novel feature buffer, based on surface albedos to assist the noise filtering process based on this a priori information.\nWe present an implementation of our method as an extension of the adaptive manifold filter and demonstrate the capabilities of our system by effectively denoising highly undersampled scenes with multiple refractive and reflective materials as well as high-resolution geometry and textures in only a few seconds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "hidden",
            "image_width": 1440,
            "image_height": 1080,
            "name": "sakai-2021-eif-teaser.png",
            "type": "image/png",
            "size": 1385108,
            "path": "Publication:sakai-2021-eif",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sakai-2021-eif/sakai-2021-eif-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sakai-2021-eif/sakai-2021-eif-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1129,
            1073,
            808,
            193
        ],
        "number": "TR-193-02-2021-1",
        "open_access": "no",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Monte Carlo noise filtering",
            "photorealistic rendering"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "tech-report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sakai-2021-eif-tech-report.pdf",
                "type": "application/pdf",
                "size": 43205549,
                "path": "Publication:sakai-2021-eif",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sakai-2021-eif/sakai-2021-eif-tech-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/sakai-2021-eif/sakai-2021-eif-tech-report:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/sakai-2021-eif/",
        "__class": "Publication"
    },
    {
        "id": "kenzel_michael_2021_cuda",
        "type_id": "otherreviewed",
        "tu_id": 301615,
        "repositum_id": "20.500.12708/55659",
        "title": "CUDA and Applications to Task-based Programming",
        "date": "2021-05",
        "abstract": "To provide a profound understanding of how CUDA applications can achieve peak performance, the first two parts of this tutorial outline the modern CUDA architecture. Following a basic introduction, we expose how language features are linked to---and constrained by---the underlying physical hardware components. Furthermore, we describe common applications for massively parallel programming, offer a detailed breakdown of potential issues, and list ways to mitigate performance impacts. An exemplary analysis of PTX and SASS snippets illustrates how code patterns in CUDA are mapped to actual hardware instructions.\n\nIn parts 3 and 4, we focus on novel features that were enabled by the arrival of CUDA 10+ toolkits and the Volta+ architectures, such as ITS, tensor cores, and the graph API. In addition to basic use case demonstrations, we outline our own experiences with these capabilities and their potential performance benefits. We also discuss how long-standing best practices are affected by these changes and describe common caveats for dealing with legacy code on recent GPU models. We show how these considerations can be implemented in practice by presenting state-of-the-art research into task-based GPU scheduling, and how the dynamic adjustment of thread roles and group configurations can significantly increase performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1800,
            "image_height": 1151,
            "name": "kenzel_michael_2021_cuda-teaser.png",
            "type": "image/png",
            "size": 718260,
            "path": "Publication:kenzel_michael_2021_cuda",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1661,
            1650,
            1834,
            1662
        ],
        "booktitle": "Eurographics 2021 - Tutorials",
        "doi": "10.2312/egt.20211037",
        "editor": "Carol O'Sullivan and Dieter Schmalstieg",
        "location": "Vienna",
        "open_access": "yes",
        "pages": "5",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Parallel Programming",
            "GPU"
        ],
        "weblinks": [
            {
                "href": "https://cuda-tutorial.github.io/index.html",
                "caption": "Tutorial Homepage",
                "description": "Course notes and code samples for the tutorial",
                "main_file": 0
            },
            {
                "href": "https://diglib.eg.org:443/handle/10.2312/egt20211037",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1800,
                "image_height": 1151,
                "name": "kenzel_michael_2021_cuda-teaser.png",
                "type": "image/png",
                "size": 718260,
                "path": "Publication:kenzel_michael_2021_cuda",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/kenzel_michael_2021_cuda-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kenzel_michael_2021_cuda/",
        "__class": "Publication"
    },
    {
        "id": "mahler-2021-mdar",
        "type_id": "masterthesis",
        "tu_id": 300525,
        "repositum_id": "20.500.12708/17526",
        "title": "A Study of Multi-Document Active Reading in Analog and Digital Environments",
        "date": "2021-05",
        "abstract": "Despite the many improvements in the digital domain, knowledge workers still frequently switch between digital and analog materials and tools during their work. In doing so, they accept \"switching costs\" (such as time and resources) to perform active reading and related activities in their preferred (analog) environment. Previous studies show that active reading is more efficient using analog materials and tools than using digital ones. However, up to now, it is not fully understood what exactly leads to the superiority of analog active reading over digital active reading. The goal of this thesis is to directly compare the behaviors and strategies employed by users during active reading of multiple documents in analog and digital environments. This comparison serves to gain more detailed insights into which (sub-)areas of active reading (annotating, highlighting, note-taking, and spatial organization) are different in the two environments, what might be possible reasons for these differences, and most importantly, how to improve the experience of digital active reading in the future. As part of the comparison, it is also possible to determine whether analog active reading is still more efficient than digital active reading when using a large screen that provides a similar amount of space as an analog workstation. Thus, in a qualitative, controlled, partly confirmatory, partly exploratory, user study, users' behaviors and strategies during active reading of multiple documents in analog and digital environments are compared to investigate the previously mentioned aspects. The results show that analog active reading is still more efficient than digital active reading despite the use of a large screen. Additionally, the evaluation was able to identify differences in behaviors and adaptations of strategies used due to the accessibility and availability of tools. In particular, there is still considerable potential for improvement in the area of spatial organization during digital active reading.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1696
        ],
        "date_end": "2021-05",
        "date_start": "2019",
        "diploma_examina": "2021-05-12",
        "doi": "10.34726/hss.2021.70704",
        "matrikelnr": "01325188",
        "open_access": "yes",
        "pages": "111",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual thinking",
            "active reading",
            "digital sensemaking",
            "information foraging theory",
            "knowledge workers",
            "user study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mahler-2021-mdar-poster.pdf",
                "type": "application/pdf",
                "size": 283699,
                "path": "Publication:mahler-2021-mdar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mahler-2021-mdar-thesis.pdf",
                "type": "application/pdf",
                "size": 4721993,
                "path": "Publication:mahler-2021-mdar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/mahler-2021-mdar-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/mahler-2021-mdar/",
        "__class": "Publication"
    },
    {
        "id": "KOCH-2021-GVS",
        "type_id": "journalpaper",
        "tu_id": 300527,
        "repositum_id": "20.500.12708/58642",
        "title": "Guided Visibility Sampling++",
        "date": "2021-04-20",
        "abstract": "Visibility computation is a common problem in the field of computer graphics. Examples include occlusion culling, where parts of the scene are culled away, or global illumination simulations, which are based on the mutual visibility of pairs of points to calculate lighting. In this paper, an aggressive from-region visibility technique called Guided Visibility Sampling++ (GVS++) is presented. The proposed technique improves the Guided Visibility Sampling algorithm through improved sampling strategies, thus achieving low error rates on various scenes, and being over four orders of magnitude faster than the original CPU-based Guided Visibility Sampling implementation. We present sampling strategies that adaptively compute sample locations and use ray casting to determine a set of triangles visible from a flat or volumetric rectangular region in space. This set is called a potentially visible set (PVS). Based on initial random sampling, subsequent exploration phases progressively grow an intermediate solution. A termination criterion is used to terminate the PVS search. A modern implementation using the Vulkan graphics API and RTX ray tracing is discussed. Furthermore, we show optimizations that allow for an implementation that is over 20 times faster than a naive implementation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2553,
            "image_height": 1495,
            "name": "KOCH-2021-GVS-image.jpg",
            "type": "image/jpeg",
            "size": 860042,
            "path": "Publication:KOCH-2021-GVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": "pages_to,pages_from",
        "repositum_presentation_id": null,
        "authors": [
            1604,
            193
        ],
        "cfp": {
            "name": "cfp-I3D 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1244094",
            "orig_name": "cfp-I3D 2021.pdf",
            "ext": "pdf"
        },
        "date_from": "2021-04-20",
        "date_to": "2021-04-22",
        "doi": "10.1145/3451266",
        "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            1604
        ],
        "location": "online",
        "number": "1",
        "open_access": "no",
        "pages": "16",
        "pages_from": "4:1",
        "pages_to": "4:16",
        "volume": "4",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "visibility culling",
            "real-time rendering",
            "ray tracing"
        ],
        "weblinks": [
            {
                "href": "https://github.com/einthomas/GVSPP",
                "caption": "Github repo",
                "description": "Full source code",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "author version",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KOCH-2021-GVS-author version.pdf",
                "type": "application/pdf",
                "size": 4520131,
                "path": "Publication:KOCH-2021-GVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-author version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-author version:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2553,
                "image_height": 1495,
                "name": "KOCH-2021-GVS-image.jpg",
                "type": "image/jpeg",
                "size": 860042,
                "path": "Publication:KOCH-2021-GVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/KOCH-2021-GVS-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/",
        "__class": "Publication"
    },
    {
        "id": "koeppel-2021",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/55660",
        "title": "Context-Responsive Labeling in Augmented Reality",
        "date": "2021-04-19",
        "abstract": "Route planning and navigation are common tasks that often require additional information on points of interest. Augmented Reality (AR) enables mobile users to utilize text labels, in order to provide a composite view associated with additional information in a real- world environment. Nonetheless, displaying all labels for points of interest on a mobile device will lead to unwanted overlaps between information, and thus a context-responsive strategy to properly ar- range labels is expected. The technique should remove overlaps, show the right level-of-detail, and maintain label coherence. This is necessary as the viewing angle in an AR system may change rapidly due to users’ behaviors. Coherence plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this paper, we develop an approach that sys- tematically manages label visibility and levels-of-detail, as well as eliminates unexpected incoherent movement. We introduce three label management strategies, including (1) occlusion management, (2) level-of-detail management, and (3) coherence management by balancing the usage of the mobile phone screen. A greedy approach is developed for fast occlusion handling in AR. A level-of-detail scheme is adopted to arrange various types of labels. A 3D scene manipulation is then built to simultaneously suppress the incoherent behaviors induced by viewing angle changes. Finally, we present the feasibility and applicability of our approach through one synthetic and two real-world scenarios, followed by a qualitative user study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "koeppel-2021-image.png",
            "type": "image/png",
            "size": 72689,
            "path": "Publication:koeppel-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1367,
            166,
            1464
        ],
        "booktitle": "Proceedings of the 14th IEEE Pacific Visualization Symposium ",
        "cfp": {
            "name": "PVIS 2021.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1338305",
            "orig_name": "PVIS 2021.pdf",
            "ext": "pdf"
        },
        "doi": "10.1109/pacificvis52677.2021.00020",
        "event": "IEEE Pacific Visualization Symposium ",
        "lecturer": [
            1464
        ],
        "pages": "10",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "koeppel-2021-image.png",
                "type": "image/png",
                "size": 72689,
                "path": "Publication:koeppel-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koeppel-2021-paper.pdf",
                "type": "application/pdf",
                "size": null,
                "path": "Publication:koeppel-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-paper.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koeppel-2021-video.mp4",
                "type": "video/mp4",
                "size": 50783014,
                "path": "Publication:koeppel-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/koeppel-2021-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koeppel-2021/",
        "__class": "Publication"
    },
    {
        "id": "eibensteiner-2021-pmcg",
        "type_id": "masterthesis",
        "tu_id": 301655,
        "repositum_id": "20.500.12708/17307",
        "title": "Polyphonic music composition with grammars",
        "date": "2021-04-15",
        "abstract": "We present a theoretical framework for automatic music composition with formal grammars and a focus on polyphonic structures. In the context of this thesis, a polyphonic structure is any arrangement of musical entities (notes, chords, measures, etc.) that is not purely sequential in the time dimension. Given that the natural output of a grammar is a sequence, the generation of sequential structures, such as melodies, harmonic progressions, and rhythmic patterns, follows intuitively and has already been explored in prior works. By contrast, we associate each musical entity with an independent temporal scope, allowing the representation of both sequential and parallel arrangements. With overlapping entities we can model chords, drum patterns, and parallel voices---polyphony on small and large scales. Beyond a foundational discussion of functional techniques for polyphonic composition with non-deterministic context-free grammars, we demonstrate the implementation and practical application of an automated composition system developed on these principles.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1388,
            "image_height": 689,
            "name": "eibensteiner-2021-pmcg-teaser.png",
            "type": "image/png",
            "size": 136748,
            "path": "Publication:eibensteiner-2021-pmcg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1362
        ],
        "co_supervisor": [
            1303
        ],
        "date_end": "2021-04",
        "date_start": "2019",
        "diploma_examina": "2021-05-18",
        "doi": "10.34726/hss.2021.90440",
        "matrikelnr": "01225627",
        "open_access": "yes",
        "pages": "128",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural",
            "music",
            "composition",
            "functional",
            "context-free",
            "probabilistic",
            "temporal",
            "parametric",
            "attribute-based",
            "grammars"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eibensteiner-2021-pmcg-poster.pdf",
                "type": "application/pdf",
                "size": 434212,
                "path": "Publication:eibensteiner-2021-pmcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1388,
                "image_height": 689,
                "name": "eibensteiner-2021-pmcg-teaser.png",
                "type": "image/png",
                "size": 136748,
                "path": "Publication:eibensteiner-2021-pmcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eibensteiner-2021-pmcg-thesis.pdf",
                "type": "application/pdf",
                "size": 18608916,
                "path": "Publication:eibensteiner-2021-pmcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/eibensteiner-2021-pmcg-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eibensteiner-2021-pmcg/",
        "__class": "Publication"
    },
    {
        "id": "Sprung_2021",
        "type_id": "masterthesis",
        "tu_id": 301661,
        "repositum_id": "20.500.12708/17530",
        "title": "Mobile Collaborating Robots for Direct Haptics in Mixed Reality",
        "date": "2021-04-12",
        "abstract": "After technological advancements in computer graphics and miniaturization of electric circuits, virtual reality has finally found its way into the consumer market. Commercial VR systems like HTC ’s Vive allow their wearers to experience virtual worlds realistically enough to feel audio-visually immersed. However, when interacting with the simulated environment, the limitations of such a system become apparent quickly. They o˙er no haptic capabilities or feedback beyond what is integrated in their hand-held input devices. Additional body-worn equipment, like haptic suits or exoskeletons, deliver only rudimentary haptic experiences or encumber the user’s ease of movement with excessive weight. Haptic hardware of the ‘encounter’ type are often constrained to a specific location within the simulation area or deliver only soft touching sensations because of their highly mobile but fragile architecture. Therfore, this thesis covers the topic of creating a VR system with haptic feedback and describes its design and implementation in a room sized setup. The paper shows how a mobile manipulator, like the RB-Kairos, can be combined with a virtual reality headset, like the Vive, to deliver real world props into the hands of users to enhance their virtual experience. To track the manipulator’s position with the same accuracy of the VR headset, the Vive’s Lighthouse tracking solution is integrated into the robot. On the software side, the system takes advantage of the Robot Operating System (ROS), which is already configured to control the robot’s basic functionality and is extended to include new modules handling the deliverance of haptic sensations. The simulation of the visual part of this project is handled by the gaming engine Unity, which features a variety of plugins suitable to create basic VR applications with minimal e˙ort. The communication between VR application, RB-Kairos and user is handled wirelessly via radio signals which allows unrestricted mobility for participants and robots within the simulation area. The subsequent technical evaluation o˙ers insights to operating parameters and lists potential enhancement and upgrade possibilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 259,
            "image_height": 253,
            "name": "Sprung_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 19711,
            "path": "Publication:Sprung_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1866
        ],
        "date_end": "2011-02-10",
        "date_start": "2012-04-12",
        "diploma_examina": "2012-04-12",
        "doi": "10.34726/hss.2021.62304",
        "matrikelnr": "00725956",
        "open_access": "yes",
        "pages": "111",
        "supervisor": [
            378
        ],
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "virtual reality",
            "haptics",
            "collaborate",
            "robot",
            "rb-kairos",
            "ur-10",
            "vive",
            "robot operating system",
            "ros",
            "steamvr"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 259,
                "image_height": 253,
                "name": "Sprung_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 19711,
                "path": "Publication:Sprung_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Sprung_2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 18428267,
                "path": "Publication:Sprung_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Sprung_2021-Poster.pdf",
                "type": "application/pdf",
                "size": 2538198,
                "path": "Publication:Sprung_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/Sprung_2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sprung_2021/",
        "__class": "Publication"
    },
    {
        "id": "korpitsch-2021-lov",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "LSOVOMAN - Large-Scale Online Visualization of Austria's Media- Advertisement Networks",
        "date": "2021-04-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3775,
            "image_height": 1960,
            "name": "korpitsch-2021-lov-screenshot.JPG",
            "type": "image/jpeg",
            "size": 265358,
            "path": "Publication:korpitsch-2021-lov",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1697
        ],
        "date_end": "2021-04",
        "date_start": "2020-10",
        "matrikelnr": "01529243",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "bipartite graphs",
            "large networks",
            "web-based visualization",
            "media transparency"
        ],
        "weblinks": [
            {
                "href": "https://gitlab.cg.tuwien.ac.at/tkorpitsch/lsovaman",
                "caption": "Gitlab",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch-2021-lov-Documentation.pdf",
                "type": "application/pdf",
                "size": 141424,
                "path": "Publication:korpitsch-2021-lov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Documentation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch-2021-lov-Report.pdf",
                "type": "application/pdf",
                "size": 36864,
                "path": "Publication:korpitsch-2021-lov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-Report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3775,
                "image_height": 1960,
                "name": "korpitsch-2021-lov-screenshot.JPG",
                "type": "image/jpeg",
                "size": 265358,
                "path": "Publication:korpitsch-2021-lov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/korpitsch-2021-lov-screenshot:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/korpitsch-2021-lov/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2021-phdthesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/17725",
        "title": "Interactive Visualization of Dense and Multi-Scale Data for Science Outreach",
        "date": "2021-04",
        "abstract": "This thesis focuses on the problem of navigating complex 3D models composed of large numbers of molecular instances packed densely in the three-dimensional space. Due to the large environment encompassing several magnitudes of scale, the traditional navigational paradigms applied in real-time computer graphics are becoming insufficient when applied to biological environments. In the first part of the thesis, I analyze navigation challenges presented by such a use case and recognize several modes of navigation that can be employed when interfacing a complex 3D visualization system with the end-user. We discuss three such modes of navigation: augmentive, declarative, and automative. First, in augmentive navigation, the user is given fully manual control over all aspects of navigation, such as controlling the camera's position and rotation, or the visibility of the individual model's parts. Their manual exploration is, however, augmented by automatically deployed annotation to help make sense of the environment. In declarative navigation, the user interaction is simplified to declaring their target. The visualization system then takes over the low-level controls of the visualization, e.g., camera path animation and scene visibility transition, which are computed to navigate the user directly to their declared target. The third stage, automative navigation, relieves the user from even this responsibility and places the choice of what gets shown to an algorithmic solution. In this case, such automated fly-through can then be guided by a specific storyline. In the second part of the thesis, I present specific methods addressing technical gaps and contributing to realizing the navigational stages presented in the first part. I start by introducing an approach for textual labeling of multi-scale molecular models inspired by the level-of-detail concept. That way, a scenario of augmentive navigation is provided. Second, I propose a navigational method for traversing a dense molecular model with a hierarchical organization, implementing the declarative navigation concept. The presented method uses textual labels for browsing the three-dimensional model, essentially providing a way of traversing the hierarchical organization and exploring the spatial characteristics of the model. Finally, I propose a pipeline for producing automated tours of molecular models, demonstrating the automative navigation mode.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2854,
            "image_height": 1266,
            "name": "kouril-2021-phdthesis-teaser.png",
            "type": "image/png",
            "size": 4190080,
            "path": "Publication:kouril-2021-phdthesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383
        ],
        "date_end": "2021-04",
        "date_start": "2017-03",
        "doi": "10.34726/hss.2021.91703",
        "open_access": "yes",
        "pages": "123",
        "reviewer_1": [
            1448
        ],
        "reviewer_2": [
            563
        ],
        "rigorosum": "2021-04-07",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "biological",
            "visualization",
            "multi-scale",
            "dense",
            "navigation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2854,
                "image_height": 1266,
                "name": "kouril-2021-phdthesis-teaser.png",
                "type": "image/png",
                "size": 4190080,
                "path": "Publication:kouril-2021-phdthesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2021-phdthesis-thesis.pdf",
                "type": "application/pdf",
                "size": 80152274,
                "path": "Publication:kouril-2021-phdthesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/kouril-2021-phdthesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/kouril-2021-phdthesis/",
        "__class": "Publication"
    },
    {
        "id": "raidou_previs2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 301682,
        "repositum_id": "20.500.12708/138838",
        "title": "PREVIS: Predictive visual analytics of anatomical variability for radiotherapy decision support",
        "date": "2021-04",
        "abstract": "adiotherapy (RT) requires meticulous planning prior to treatment, where the RT plan is optimized with organ delineations on a pre-treatment Computed Tomography (CT) scan of the patient. The conventionally fractionated treatment usually lasts several weeks. Random changes (e.g., rectal and bladder filling in prostate cancer patients) and systematic changes (e.g., weight loss) occur while the patient is being treated. Therefore, the delivered dose distribution may deviate from the planned. Modern technology, in particular image guidance, allows to minimize these deviations, but risks for the patient remain.\n\nWe present PREVIS, a visual analytics tool for:\n\n(i) the exploration and prediction of changes in patient anatomy during the upcoming treatment, and\n\n(ii) the assessment of treatment strategies, with respect to the anticipated changes.\n\nRecords of during-treatment changes from a retrospective imaging cohort with complete data are employed in PREVIS, to infer expected anatomical changes of new incoming patients with incomplete data, using a generative model. Abstracted representations of the retrospective cohort partitioning provide insight into an underlying automated clustering, showing main modes of variation for past patients. Interactive similarity representations support an informed selection of matching between new incoming patients and past patients. A Principal Component Analysis (PCA)-based generative model describes the predicted spatial probability distributions of the incoming patient’s organs in the upcoming weeks of treatment, based on observations of past patients. The generative model is interactively linked to treatment plan evaluation, supporting the selection of the optimal treatment strategy.\n\nWe present a usage scenario, demonstrating the applicability of PREVIS in a clinical research setting, and we evaluate our visual analytics tool with eight clinical researchers.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1733,
            1445,
            1444,
            1568,
            1569,
            1844,
            1410
        ],
        "doi": "https://doi.org/10.1016/j.cag.2021.04.010",
        "journal": "Computers and Graphics",
        "open_access": "yes",
        "pages_from": "126",
        "pages_to": "138",
        "volume": "97",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://renataraidou.com/previs-predictive-visual-analytics-of-anatomical-variability-for-radiotherapy-decision-support/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 590,
                "name": "raidou_previs2021-paper.pdf",
                "type": "application/pdf",
                "size": null,
                "path": "Publication:raidou_previs2021",
                "preview_name": "raidou_previs2021-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 184775,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/raidou_previs2021-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/raidou_previs2021-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/raidou_previs2021/",
        "__class": "Publication"
    },
    {
        "id": "reimer-2021-CVR",
        "type_id": "journalpaper_notalk",
        "tu_id": 299074,
        "repositum_id": "20.500.12708/138272",
        "title": "Colocation for SLAM-Tracked VR Headsets with Hand Tracking",
        "date": "2021-04",
        "abstract": "In colocated multi-user Virtual Reality applications, relative user positions in the virtual environment need to match their relative positions in the physical tracking space. A mismatch between virtual and real relative user positions might lead to harmful events such as physical user collisions. This paper examines three calibration methods that enable colocated Virtual Reality scenarios for SLAM-tracked head-mounted displays without the need for an external tracking system. Two of these methods—fixed-point calibration and marked-based calibration—have been described in previous research; the third method that uses hand tracking capabilities of head-mounted displays is novel. We evaluated the accuracy of these three methods in an experimental procedure with two colocated Oculus Quest devices. The results of the evaluation show that our novel hand tracking-based calibration method provides better accuracy and consistency while at the same time being easy to execute. The paper further discusses the potential of all evaluated calibration methods. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1944,
            "image_height": 972,
            "preview_image_width": 1944,
            "preview_image_height": 972,
            "name": "reimer-2021-CVR-image.jpg",
            "type": "image/jpeg",
            "size": 301602,
            "path": "Publication:reimer-2021-CVR",
            "preview_name": "reimer-2021-CVR-image:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 301602,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1832,
            1945,
            1833,
            378
        ],
        "doi": "10.3390/computers10050058",
        "first_published": "2021-04",
        "issn": "2073-431X",
        "journal": "Computers",
        "number": "5",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "17",
        "volume": "10",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            " colocation",
            "multi-user VR",
            "hand tracking ",
            "shared space"
        ],
        "weblinks": [
            {
                "href": "https://www.mdpi.com/2073-431X/10/5/58",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1944,
                "image_height": 972,
                "preview_image_width": 1944,
                "preview_image_height": 972,
                "name": "reimer-2021-CVR-image.jpg",
                "type": "image/jpeg",
                "size": 301602,
                "path": "Publication:reimer-2021-CVR",
                "preview_name": "reimer-2021-CVR-image:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 301602,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/reimer-2021-CVR-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/reimer-2021-CVR/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2021-DISS",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/17701",
        "title": "Interactive Exploration of Point Clouds",
        "date": "2021-04",
        "abstract": "Laser scanning, photogrammetry and other 3D scanning approaches generate data sets comprising millions to trillions of points. Modern GPUs can easily render a few million and up to tens of millions of points in real time, but data sets with hundreds of millions of points and more require acceleration structures to be rendered in real time. In this thesis, we present three contributions to the state of the art with the goal of improving the performance as well as the quality of real-time rendered point clouds.\n\nTwo of our contributions address the performance of LOD structure generation. State-of-the-art approaches achieve a throughput of up to around 1 million points per second, which requires users to wait minutes even for smaller data sets with a few hundred million points. Our proposed solutions are: A bottom-up LOD generation approach that creates LOD structures up to an order of magnitude faster than previous work, and a progressive rendering approach that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate LOD structures at all. The former achieves a throughput of up to 10 million points per second, and the latter is capable of loading point clouds at rates of up to 37 million points per second from an industry-standard point-cloud format (LAS), and up to 100 million points per second if the file format matches the vertex buffer format. Since it does not need LOD structures, the progressive rendering approach can render already loaded points right away while additional points are still being loaded. \n\nOur third contribution improves the quality of LOD-based point-cloud rendering by introducing a continuous level-of-detail approach that produces gradual transitions in point density, rather than the characteristic and noticeable blocks from discrete LOD structures. It is mainly targeted towards VR applications, where discrete levels of detail are especially noticeable and disturbing, in a large part due to the popping of chunks of points during motion. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116
        ],
        "doi": "10.34726/hss.2021.91668",
        "duration": "5",
        "open_access": "yes",
        "pages": "107",
        "reviewer_1": [
            1855
        ],
        "reviewer_2": [
            1245
        ],
        "rigorosum": "2021-04-07",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point cloud rendering",
            "lidar"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "dissertation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2021-DISS-dissertation.pdf",
                "type": "application/pdf",
                "size": 4739921,
                "path": "Publication:SCHUETZ-2021-DISS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/SCHUETZ-2021-DISS-dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/SCHUETZ-2021-DISS-dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/SCHUETZ-2021-DISS/",
        "__class": "Publication"
    },
    {
        "id": "pirch_2021_VRN",
        "type_id": "journalpaper_notalk",
        "tu_id": 299243,
        "repositum_id": "20.500.12708/138336",
        "title": "The VRNetzer platform enables interactive network analysis in Virtual Reality",
        "date": "2021-04",
        "abstract": "Networks provide a powerful representation of interacting components within complex\nsystems, making them ideal for visually and analytically exploring big data. However, the size\nand complexity of many networks render static visualizations on typically-sized paper or\nscreens impractical, resulting in proverbial ‘hairballs’. Here, we introduce a Virtual Reality\n(VR) platform that overcomes these limitations by facilitating the thorough visual, and\ninteractive, exploration of large networks. Our platform allows maximal customization and\nextendibility, through the import of custom code for data analysis, integration of external\ndatabases, and design of arbitrary user interface elements, among other features. As a proof\nof concept, we show how our platform can be used to interactively explore genome-scale\nmolecular networks to identify genes associated with rare diseases and understand how they\nmight contribute to disease development. Our platform represents a general purpose, VRbased\ndata exploration platform for large and diverse data types by providing an interface\nthat facilitates the interaction between human intuition and state-of-the-art analysis\nmethods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1835,
            1836,
            1837,
            1838,
            1839,
            1840,
            1841,
            1842,
            1945,
            378,
            1843
        ],
        "doi": "10.1038/s41467-021-22570-w",
        "first_published": "2021-04",
        "journal": "Nature Communications",
        "number": "2432",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "12",
        "research_areas": [
            "InfoVis",
            "VR"
        ],
        "keywords": [
            "virtual realitz"
        ],
        "weblinks": [
            {
                "href": "https://www.nature.com/articles/s41467-021-22570-w",
                "caption": "Publication",
                "description": "The text of the publicatoin (open access). ",
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/pirch_2021_VRN/",
        "__class": "Publication"
    },
    {
        "id": "eiweck-hnv-2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Immersive Exploration of Hierarchical Networks in VR",
        "date": "2021-04",
        "abstract": "Our world is becoming more digital each year, new parts of our daily life become\nconnected and the amount and complexity of the produced data increases steadily.\nThe analysis of this data enables big opportunities for science and industry. A\nsubset of this data is organized in the form of hierarchical networks or can be\ntransformed by clustering algorithms into hierarchical layers. We see this in multiple\napplication domains for example medical research where connections, group and\ncluster memberships of diseases are tracked; social science where relationships\nare mapped in company organization charts; in software engineering in the form of\nbuild-, dependency- and source code version management software with hierarchical\nconnections between software modules, versions and layered software architecture.\n\nHowever, getting insight into this complex data with traditional two-dimensional\nvisualization is getting more difficult as the visual clutter increases significantly with\nthe exponentially growth of data we saw in recent years. Therefore, we need new\nmethods and techniques to facilitate and expedite the analysis process. In this thesis,\nwe investigate a new approach to visualize hierarchical network data by extending\nalready existing concepts of two-dimensional hierarchical network visualizations\nwith a third dimension and applying it to a virtual reality based visualization system.\nWe believe that the capabilities of virtual reality devices, such as improved\nspatial impression and interaction possibilities by room-scale tracked headsets and\ncontrollers allow the visualization to fully utilize the benefits of three-dimensional\ninformation visualization. Therefore, it should be possible to analyze even bigger\nand more complex hierarchical networks than currently possible with conventional\ntwo-dimensional visualizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 942,
            "image_height": 663,
            "name": "eiweck-hnv-2021-teaser.PNG",
            "type": "image/png",
            "size": 250349,
            "path": "Publication:eiweck-hnv-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1781
        ],
        "co_supervisor": [
            1072
        ],
        "date_end": "2021-04",
        "date_start": "2020-09",
        "matrikelnr": "01633012",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://3dmultilayer.emanum.dev/",
                "caption": "video & tool",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 942,
                "image_height": 663,
                "name": "eiweck-hnv-2021-teaser.PNG",
                "type": "image/png",
                "size": 250349,
                "path": "Publication:eiweck-hnv-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eiweck-hnv-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 10795367,
                "path": "Publication:eiweck-hnv-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/eiweck-hnv-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/eiweck-hnv-2021/",
        "__class": "Publication"
    },
    {
        "id": "panfili-2021-myop",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": "20.500.12708/58726",
        "title": "Myopia in Head-Worn Virtual Reality",
        "date": "2021-03-27",
        "abstract": "In this work, we investigate the influence of myopia on the perceived visual acuity (VA) in head-worn virtual reality (VR). Factors such as display resolution or vision capabilities of users influence the VA in VR. We simulated eyesight tests in VR and on a desktop screen and conducted a user study comparing VA measurements of participants with normal sight and participants with myopia. Surprisingly, our results suggest that people with severe myopia can see better in VR than in the real world, while the VA of people with normal or corrected sight or mild myopia is reduced in VR.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1658,
            193,
            1030
        ],
        "booktitle": "2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
        "date_from": "2021-03-27",
        "date_to": "2021-04-01",
        "doi": "10.1109/VRW52623.2021.00197",
        "isbn": "978-1-6654-1166-0",
        "location": "online",
        "open_access": "no",
        "pages": "2",
        "pages_from": "629",
        "pages_to": "630",
        "publisher": "IEEE Computer Society Press",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "visual impairments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "panfili-2021-myop-abstract.pdf",
                "type": "application/pdf",
                "size": 1495051,
                "path": "Publication:panfili-2021-myop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/panfili-2021-myop-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/panfili-2021-myop-abstract:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/panfili-2021-myop/",
        "__class": "Publication"
    },
    {
        "id": "Mistelbauer_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/138958",
        "title": "Semi-automatic vessel detection for challenging cases of peripheral arterial disease ",
        "date": "2021-03-18",
        "abstract": "Objectives: Manual or semi-automated segmentation of the lower extremity arterial tree in patients with Pe-ripheral arterial disease (PAD) remains a notoriously difﬁcult and time-consuming task. The complex manifes-tations of the disease, including discontinuities of the vascular ﬂow channels, the presence of calciﬁed atherosclerotic plaque in close vicinity to adjacent bone, and the presence of metal or other imaging artifacts currently preclude fully automated vessel identiﬁcation. New machine learning techniques may alleviate this challenge, but require large and reasonably well segmented training data. \nMethods: We propose a novel semi-automatic vessel tracking approach for peripheral arteries to facilitate and accelerate the creation of annotated training data by expert cardiovascular radiologists or technologists, while limiting the number of necessary manual interactions, and reducing processing time. After automatically clas-sifying blood vessels, bones, and other tissue, the relevant vessels are tracked and organized in a tree-like structure for further visualization. \nResults: We conducted a pilot (N = 9) and a clinical study (N = 24) in which we assess the accuracy and required time for our approach to achieve sufﬁcient quality for clinical application, with our current clinically established workﬂow as the standard of reference. Our approach enabled expert physicians to readily identify all clinically relevant lower extremity arteries, even in problematic cases, with an average sensitivity of 92.9%, and an average speciﬁcity and overall accuracy of 99.9%. \nConclusions: Compared to the clinical workﬂow in our collaborating hospitals (28:40 ± 7:45 [mm:ss]), our approach (17:24 ± 6:44 [mm:ss]) is on average 11:16 [mm:ss] (39%) faster.   ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 782,
            "image_height": 478,
            "name": "Mistelbauer_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 53912,
            "path": "Publication:Mistelbauer_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869,
            1064,
            1047,
            1899,
            1391,
            1065,
            166
        ],
        "doi": "10.1016/j.compbiomed.2021.104344",
        "first_published": "2021-03-18",
        "journal": "Computers in Biology and Medicine ",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "133",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 782,
                "image_height": 478,
                "name": "Mistelbauer_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 53912,
                "path": "Publication:Mistelbauer_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mistelbauer_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 8475802,
                "path": "Publication:Mistelbauer_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/Mistelbauer_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mistelbauer_2021/",
        "__class": "Publication"
    },
    {
        "id": "schmidlehner2021",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Standards-based Clinical Data Repository",
        "date": "2021-03-10",
        "abstract": "During the treatment process of a patient the physician usually requests a Laboratory Report (e.g. a blood count) from the laboratory. The delivery of the Laboratory Report is ususally performed via fax or letter to the treating physician. The structured laboratory data, which were initially generated by the laboratory, are not available for the physician. Furthermore, the physician has to import the Laboratory Report manually to the Electronic Medical Record (EMR) system. Thus, enabling the electronic data exchange between a laboratory and relevant healthcare providers improves the current treatment processes.\nThe aim was the connection between a laboratory and an existing distributed Health Information Exchange (HIE), where several healthcare providers are connected to exchange medical docu-ments via the Cross-Enterprise Document Sharing (XDS) profile. A challenge was to perform the integration transparently with existing established exchange mechanisms and interfaces. While the Laboratory Information System (LIS) sends laboratory data via Health Level 7 (HL7) V2 messages over Transmission Control Protocol/Internet Protocol (TCP/IP), the HIE follows the document-based approach, and exchanges documents via XDS transactions over SOAP 1.2.\nA Clinical Data Repository (CDR) has been established for the storage and management of the laboratory data as Fast Healthcare Interoperability Resources (FHIR) resources. Furthermore, a Health Service Bus (HSB) has been developed to support the communication between the LIS, the CDR, and the HIE participating systems and components. The Clinical Document Architecture (CDA) standard was used to create a structured laboratory document, which has been exchanged with the participating healthcare providers of the HIE. The HSB integrates translation engines, which are responsible for the mapping from HL7 V2 messages into FHIR resources and further from FHIR resources into CDA documents.\nThe integration of the laboratory with the HIE was successful. An adequate mapping between the HL7 V2, FHIR, and CDA standards has been specified. Gaps between the particular standards have been identified and if necessary, an extension of the data structure has been defined. FHIR has proven its suitability as a flexible and robust storage format and its ability to provide the appropriate data structure to map laboratory data from HL7 V2 and convert FHIR resources to a CDA document.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 805,
            "image_height": 412,
            "name": "schmidlehner2021-image.JPG",
            "type": "image/jpeg",
            "size": 34864,
            "path": "Publication:schmidlehner2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1357
        ],
        "date_end": "2021-03-10",
        "date_start": "2020-07-02",
        "diploma_examina": "2021-03-10",
        "matrikelnr": "0626031",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 805,
                "image_height": 412,
                "name": "schmidlehner2021-image.JPG",
                "type": "image/jpeg",
                "size": 34864,
                "path": "Publication:schmidlehner2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "schmidlehner2021-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 1948814,
                "path": "Publication:schmidlehner2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "schmidlehner2021-Poster.pdf",
                "type": "application/pdf",
                "size": 134794,
                "path": "Publication:schmidlehner2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/schmidlehner2021-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schmidlehner2021/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger-2021-egs",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/58727",
        "title": "2D Points Curve Reconstruction Survey and Benchmark",
        "date": "2021-03-09",
        "abstract": "Curve reconstruction from unstructured points in a plane is a fundamental problem with many applications that has generated research interest for decades. Involved aspects like handling open, sharp, multiple and non-manifold outlines, run-time and provability as well as potential extension to 3D for surface reconstruction have led to many different algorithms. We survey the literature on 2D curve reconstruction and then present an open-sourced benchmark for the experimental study. Our unprecedented evaluation on a selected set of planar curve reconstruction algorithms aims to give an overview of both quantitative analysis and qualitative aspects for helping users to select the right algorithm for specific problems in the field. Our benchmark framework is available online to permit reproducing the results, and easy integration of new algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 5275,
            "image_height": 1881,
            "name": "ohrhallinger-2021-egs-image.png",
            "type": "image/png",
            "size": 1212842,
            "path": "Publication:ohrhallinger-2021-egs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1828,
            1825,
            1826,
            1827
        ],
        "cfp": {
            "name": "call.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "408947",
            "orig_name": "call.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2021-03-09",
        "event": "Eurographics 2021",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            948,
            1828,
            1825
        ],
        "location": "Online",
        "open_access": "yes",
        "pages": "22",
        "pages_from": "611",
        "pages_to": "632",
        "publisher": "Eurographics Association",
        "volume": "1",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve reconstruction",
            "state-of-the-art report",
            "benchmark"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/stef/curvebenchmark/",
                "caption": "Website",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 5275,
                "image_height": 1881,
                "name": "ohrhallinger-2021-egs-image.png",
                "type": "image/png",
                "size": 1212842,
                "path": "Publication:ohrhallinger-2021-egs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger-2021-egs-paper.pdf",
                "type": "application/pdf",
                "size": 4185295,
                "path": "Publication:ohrhallinger-2021-egs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/ohrhallinger-2021-egs-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/ohrhallinger-2021-egs/",
        "__class": "Publication"
    },
    {
        "id": "depner_dennis-2020-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Scan Integration",
        "date": "2021-03-01",
        "abstract": "3D scanning is often not complete after a single pass from a single sensor. Multiple scanners, e.g. from a crowd, or multiple autonomous vehicles, may contribute data simultaneously. Or, after looking at the resulting model, more passes may be made to fill holes or improve the quality.\n\nThis requires updating a 3D reconstruction with new points, integrating those into the model and considering them equally with the existing points. In order to avoid dynamic and massive storage requirements, their coordinate information required for reconstruction can be stored as single median+variance vectors, which can be updated incrementally with new points, see e.g.: http://datagenetics.com/blog/november22017/index.html). With the local information at nodes, marching cubes can be used to generate a triangulation at grid cells. Since the octree has varying depths at leaf nodes, we need to apply an adapted version from an existing algorithm, Screened Poisson  (for source and paper see: http://www.cs.jhu.edu/~misha/Code/PoissonRecon/Version8.0/). See also http://infinitam.org for the source code and the paper it is based on.\n\nTasks:\n    Use a Kinect 3D scanner with the Infinitam software to scan several overlapping passes of an interior room, resulting in an octree with data in its nodes\n    Hand-align scans with Meshlab or register them using ICP (http://pointclouds.org/documentation/tutorials/iterative_closest_point.php) so that they correspond spatially\n    Add new points into octree nodes which overlap in space\n    Apply a provided surface orientation operator which uses median+variance of nodes in order to mark vertices of nodes as in- or outside\n    Create a mesh from the octree on demand for visualization, using marching cubes adapted to octrees as in Screened Poisson\n    Evaluate the quality of the incrementally created reconstruction with a single-pass reconstruction of a merged point cloud where all points are considered at once\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 924,
            "image_height": 813,
            "name": "depner_dennis-2020-baa-image.png",
            "type": "image/png",
            "size": 614710,
            "path": "Publication:depner_dennis-2020-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1749
        ],
        "date_end": "2021-03-01",
        "date_start": "2020-03-16",
        "matrikelnr": "01632716",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "3d scanning",
            "scan integration",
            "geometry processing"
        ],
        "weblinks": [
            {
                "href": "https://gitlab.cg.tuwien.ac.at/stef/scan-integration",
                "caption": "source",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 924,
                "image_height": 813,
                "name": "depner_dennis-2020-baa-image.png",
                "type": "image/png",
                "size": 614710,
                "path": "Publication:depner_dennis-2020-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "depner_dennis-2020-baa-paper.pdf",
                "type": "application/pdf",
                "size": 34339857,
                "path": "Publication:depner_dennis-2020-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/depner_dennis-2020-baa-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "WorldScale"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/depner_dennis-2020-baa/",
        "__class": "Publication"
    },
    {
        "id": "Batik-2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Embedding User-Defined Shapes into Metro Map Layouts",
        "date": "2021-03",
        "abstract": "Metro maps are essential when navigating through a public transportation network. They are schematic maps that have the aim to make orientation and navigation through a metro system easier. But creating them is quite complicated. Therefore numerous algorithms have been developed in the past trying to generate these maps automatically. The downside to using this approach is, that the designer only has limited possibilities to influence the resulting layout as well as contextual information of the city can not be taken into account. In order to overcome this limitation, this thesis presents a method where a potential user could influence the resulting layout by adding a set of guide paths. This method can be used to create artistically pleasing metro maps as well as make metro lines follow symbolic shapes in the layout. A mixed-layout – where some edges are rotated to be parallel to the closest guide path and other parts are octilinear – is proposed to integrate the guide paths better into the layout. To outline the potentials of this approach, examples of several metro networks were generated and are later also discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 461,
            "image_height": 319,
            "name": "Batik-2021-image.png",
            "type": "image/png",
            "size": 56056,
            "path": "Publication:Batik-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1830
        ],
        "date_end": "2021",
        "date_start": "2020",
        "matrikelnr": "11701221",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 461,
                "image_height": 319,
                "name": "Batik-2021-image.png",
                "type": "image/png",
                "size": 56056,
                "path": "Publication:Batik-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Batik-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 4328824,
                "path": "Publication:Batik-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/Batik-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Batik-2021/",
        "__class": "Publication"
    },
    {
        "id": "Sarkis_2021",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/138952",
        "title": "Multiscale Unfolding: Illustratively Visualizing the Whole Genome at a Glance",
        "date": "2021-03",
        "abstract": "We present Multiscale Unfolding, an interactive technique for illustratively visualizing multiple hierarchical scales of DNA in a single view, showing the genome at different scales and demonstrating how one scale spatially folds into the next. The DNA’s extremely long sequential structure—arranged differently on several distinct scale levels—is often lost in traditional 3D depictions, mainly due to its multiple levels of dense spatial packing and the resulting occlusion. Furthermore, interactive exploration of this complex structure is cumbersome, requiring visibility management like cut-aways. In contrast to existing temporally controlled multiscale data exploration, we allow viewers to always see and interact with any of the involved scales. For this purpose we separate the depiction into constant-scale and scale transition zones. Constant-scale zones maintain a single-scale representation, while still linearly unfolding the DNA. Inspired by illustration, scale transition zones connect adjacent constant-scale zones via level unfolding, scaling, and transparency. We thus represent the spatial structure of the whole DNA macro-molecule, maintain its local organizational characteristics, linearize its higher-level organization, and use spatially controlled, understandable interpolation between neighboring scales. We also contribute interaction\ntechniques that provide viewers with a coarse-to-fine control for navigating within our all-scales-in-one-view representations and visual \naids to illustrate the size differences. Overall, Multiscale Unfolding allows viewers to grasp the DNA’s structural composition from \nchromosomes to the atoms, with increasing levels of “unfoldedness,” and can be applied in data-driven illustration and communication. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 797,
            "image_height": 289,
            "name": "Sarkis_2021-Image.JPG",
            "type": "image/jpeg",
            "size": 69327,
            "path": "Publication:Sarkis_2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1665,
            1383,
            1263,
            166,
            171,
            960
        ],
        "doi": "10.1109/TVCG.2021.3065443",
        "first_published": "2021-03-11",
        "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS ",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "13",
        "volume": "3",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 797,
                "image_height": 289,
                "name": "Sarkis_2021-Image.JPG",
                "type": "image/jpeg",
                "size": 69327,
                "path": "Publication:Sarkis_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Sarkis_2021-Paper.pdf",
                "type": "application/pdf",
                "size": 17061748,
                "path": "Publication:Sarkis_2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/Sarkis_2021-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Sarkis_2021/",
        "__class": "Publication"
    },
    {
        "id": "Kellner-2021-DA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Klassifikation Urbaner Punktwolken Mittels 3D CNNs In Kombination mit Rekonstruktion von Gehsteigen",
        "date": "2021-03",
        "abstract": "LiDAR devices are able to capture the physical world very accurately. Therefore, they\nare often used for 3D reconstruction. Unfortunately, such data can become extremely\nlarge very quickly and usually only a small part of the point cloud is of interest. Thus,\nthe point cloud is filtered beforehand in order to apply algorithms only on those points\nthat are relevant for it. A semantic information about the points can be used for such a\nfiltering. Semantic segmentation of point clouds is a popular field of research and here\nthere has been a trend towards deep learning in recent years too. However, contrary to\nimages, point clouds are unstructured. Hence, point clouds are often rasterized, but this\nhas to be done, such that the underlying structure is represented well.\nIn this thesis, a 3D Convolutional Neural Network is developed and trained for a semantic\nsegmentation of LiDAR point clouds. Thereby, a point cloud is represented with an\noctree data structure, which makes it easy to rasterize only relevant parts. Since, just\ndense parts of the point cloud, in which important information about the structure is\nlocated, are subdivided further. This allows to simply take nodes of a certain level of the\noctree and rasterize them as data samples.\nThere are many application areas for 3D reconstructions based on point clouds. In an\nurban scenario, these can be for example whole city models or buildings. However, in this\nthesis, the reconstruction of sidewalks is explored. Since, for flood simulations in cities, an\nincrease in height of a few centimeters can make a great difference and information about\nthe curb geometry helps to make them more accurate. In the sidewalk reconstruction\nprocess, the point cloud is filtered first, based on a semantic segmentation of a 3D CNN,\nand then point cloud features are calculated to detect curb points. With these curb\npoints, the geometry of the curb, sidewalk and street are computed.\nTaken all together, this thesis develops a proof-of-concept prototype for semantic point\ncloud segmentation using 3D CNNs and based on that, a curb detection and reconstruction\nalgorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2559,
            "image_height": 830,
            "name": "Kellner-2021-DA-image.png",
            "type": "image/png",
            "size": 4022399,
            "path": "Publication:Kellner-2021-DA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1466
        ],
        "date_end": "2021",
        "date_start": "2020",
        "diploma_examina": "2021-04-14",
        "matrikelnr": "01428183",
        "note": "1",
        "open_access": "yes",
        "supervisor": [
            190
        ],
        "research_areas": [
            "Geometry",
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Diploma Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kellner-2021-DA-Diploma Thesis.pdf",
                "type": "application/pdf",
                "size": 72361959,
                "path": "Publication:Kellner-2021-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-Diploma Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2559,
                "image_height": 830,
                "name": "Kellner-2021-DA-image.png",
                "type": "image/png",
                "size": 4022399,
                "path": "Publication:Kellner-2021-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kellner-2021-DA-poster.pdf",
                "type": "application/pdf",
                "size": 3185169,
                "path": "Publication:Kellner-2021-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/Kellner-2021-DA-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kellner-2021-DA/",
        "__class": "Publication"
    },
    {
        "id": "KOCH-2021-GVSDA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16967",
        "title": "Visibility precomputation with RTX ray tracing",
        "date": "2021-03",
        "abstract": "Visibility computation is a common problem in the field of computer graphics. Examples\ninclude occlusion culling, where parts of the scene are culled away, or global illumination\nsimulations, which are based on the mutual visibility of pairs of points to calculate lighting.\nIn this thesis, an aggressive from-region visibility technique called Guided Visibility\nSampling++ (GVS++) is presented. The proposed technique improves the Guided\nVisibility Sampling algorithm through improved sampling strategies, thus achieving low\nerror rates on various scenes, and being over four orders of magnitude faster than the\noriginal CPU-based Guided Visibility Sampling implementation. We present intelligent\nsampling strategies that use ray casting to determine a set of triangles visible from a\nflat or volumetric rectangular region in space. This set is called a potentially visible set\n(PVS). Based on initial random sampling, subsequent exploration phases progressively\ngrow an intermediate solution. A termination criterion is used to terminate the PVS\nsearch. A modern implementation using the Vulkan graphics API and RTX ray tracing\nis discussed. Furthermore, optimizations are shown that allow for an implementation\nthat is over 20 times faster than a naive implementation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2553,
            "image_height": 1495,
            "name": "KOCH-2021-GVSDA-image.jpg",
            "type": "image/jpeg",
            "size": 860042,
            "path": "Publication:KOCH-2021-GVSDA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1604
        ],
        "date_end": "2021-03-09",
        "date_start": "2020-03-01",
        "diploma_examina": "2021-03-09",
        "doi": "10.34726/hss.2021.79729",
        "matrikelnr": "01526232",
        "open_access": "yes",
        "pages": "89",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "visibitility culling",
            "ray tracing"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVS/",
                "caption": "publication",
                "description": "i3D paper from the thesis",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2553,
                "image_height": 1495,
                "name": "KOCH-2021-GVSDA-image.jpg",
                "type": "image/jpeg",
                "size": 860042,
                "path": "Publication:KOCH-2021-GVSDA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KOCH-2021-GVSDA-poster.pdf",
                "type": "application/pdf",
                "size": 2150388,
                "path": "Publication:KOCH-2021-GVSDA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KOCH-2021-GVSDA-thesis.pdf",
                "type": "application/pdf",
                "size": 19847336,
                "path": "Publication:KOCH-2021-GVSDA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/KOCH-2021-GVSDA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/KOCH-2021-GVSDA/",
        "__class": "Publication"
    },
    {
        "id": "Kompatscher-2021",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Gradient-Preserving Stencilization of Raster Images",
        "date": "2021-03",
        "abstract": "Stencils are used as intermediate objects with designed gaps in them, to create patterns on surfaces by applying pigments on the surface through the stencil, which allows the pigment to reach the surface through the gaps and thereby to create the pattern on the surface. For the production of a stencil out of any raster image, it is not enough to assume the background color as the parts of the material that will be cut out and the other color as the material remaining in the stencil. There has to be cohesion between all the independent parts that are left in so that they do not have to be held in place individually. The needed connections between the components could be made very obvious and easy to distinguish from the intended shapes in order to draw over them later on with a paintbrush. The goal of this work however, will be an algorithm that produces connections between the shapes that can be left in the image the stencil produces, without disturbing the appearance of the shapes present (too much). This is done by finding the directions of the shapes’ contours on a vectorized version of the original image, to be able to continue in the same direction with the connections between different shapes. Then from all the possible connections the ones that will be used are found by creating a graph data structure and finding a maximum matching of that graph. In the end, it will be possible to input a binary image and get back a continuous stencil form that can be used as-is.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 496,
            "image_height": 278,
            "name": "Kompatscher-2021-image.png",
            "type": "image/png",
            "size": 79093,
            "path": "Publication:Kompatscher-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1829
        ],
        "date_end": "2021",
        "date_start": "2020",
        "matrikelnr": "01527584",
        "supervisor": [
            1464
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 496,
                "image_height": 278,
                "name": "Kompatscher-2021-image.png",
                "type": "image/png",
                "size": 79093,
                "path": "Publication:Kompatscher-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kompatscher-2021-thesis.pdf",
                "type": "application/pdf",
                "size": 2126015,
                "path": "Publication:Kompatscher-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/Kompatscher-2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kompatscher-2021/",
        "__class": "Publication"
    },
    {
        "id": "wu-2021-vi",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/138953",
        "title": "Visualization working group at TU Wien: Visibile Facimus Quod Ceteri Non Possunt",
        "date": "2021-03",
        "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2021-vi-image.png",
            "type": "image/png",
            "size": 37909,
            "path": "Publication:wu-2021-vi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1170,
            1366,
            1285,
            1383,
            1263,
            1577,
            935,
            1410,
            171,
            1110,
            166
        ],
        "doi": "https://doi.org/10.1016/j.visinf.2021.02.003",
        "journal": "Visual Informatics",
        "open_access": "yes",
        "pages_from": "76",
        "pages_to": "84",
        "volume": "5",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2021-vi-image.png",
                "type": "image/png",
                "size": 37909,
                "path": "Publication:wu-2021-vi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2021-vi-paper.pdf",
                "type": "application/pdf",
                "size": 4057176,
                "path": "Publication:wu-2021-vi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/wu-2021-vi-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/wu-2021-vi/",
        "__class": "Publication"
    },
    {
        "id": "Vonach021",
        "type_id": "journalpaper_notalk",
        "tu_id": 298566,
        "repositum_id": "20.500.12708/138122",
        "title": "StARboard & TrACTOr: Actuated Tangibles in an Educational TAR Application",
        "date": "2021-02-09",
        "abstract": "We explore the potential of direct haptic interaction in a novel approach to Tangible Augmented Reality in an educational context. Employing our prototyping platform ACTO, we developed a tabletop Augmented Reality application StARboard for sailing students. In this personal viewpoint environment virtual objects, e.g., sailing ships, are physically represented by actuated micro robots. These align with virtual objects, allowing direct physical interaction with the scene. When a user tries to pick up a virtual ship, its physical robot counterpart is grabbed instead. We also developed a tracking solution TrACTOr, employing a depth sensor to allow tracking independent of the table surface. In this paper we present concept and development of StARboard and TrACTOr. We report results of our user study with 18 participants using our prototype. They show that direct haptic interaction in tabletop AR scores en-par with traditional mouse interaction on a desktop setup in usability (mean SUS = 86.7 vs. 82.9) and performance (mean RTLX = 15.0 vs. 14.8), while outperforming the mouse in factors related to learning like presence (mean 6.0 vs 3.1) and absorption (mean 5.4 vs. 4.2). It was also rated the most fun (13× vs. 0×) and most suitable for learning (9× vs. 4×).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "ACTO with overlay",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 785,
            "image_height": 541,
            "name": "Vonach021-ACTO with overlay.jpg",
            "type": "image/jpeg",
            "size": 259725,
            "path": "Publication:Vonach021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1944,
            1871,
            378
        ],
        "doi": "10.3390/mti5020006",
        "issn": "2414-4088",
        "journal": "Multimodal Technologies and Interaction",
        "number": "2",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "22",
        "volume": "5",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Tangible Augmented Reality; Tangible User Interface; tabletop interaction; robots; actuation; haptics"
        ],
        "weblinks": [
            {
                "href": "https://www.mdpi.com/2414-4088/5/2/6",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "ACTO with overlay",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 785,
                "image_height": 541,
                "name": "Vonach021-ACTO with overlay.jpg",
                "type": "image/jpeg",
                "size": 259725,
                "path": "Publication:Vonach021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/Vonach021-ACTO with overlay:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Vonach021/",
        "__class": "Publication"
    },
    {
        "id": "klein-2020-rtgi",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Framework For Real-Time Global Illumination Algorithms",
        "date": "2021-01-31",
        "abstract": "If someone were in need of a real-time global illumination algorithm regarding their specific requirements, they would have no issue finding many possible options nowadays. There are many algorithms that are unmatched in realism, interactivity or performance. However, it might be challenging to compare different approaches side by side.\n\nIn this thesis, a framework is proposed that is capable of building a foundation for the comparison of real-time global illumination algorithms. This framework depends on an unified handling of various algorithms while aiming to be nonrestrictive towards them. All modules of the application are designed to be as mutable, generic, extendable, and reusable as possible to avoid the reimplementation of similar concepts. A consistent concept is integrated into the framework to provide a great amount of configurability, even at runtime.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1543
        ],
        "date_end": "2020-01-31",
        "date_start": "2017-09-20",
        "matrikelnr": "01426483",
        "supervisor": [
            193,
            1129
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://gitlab.com/markus_k/real-time-global-illumination-algorithms",
                "caption": "Code",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 980,
                "image_height": 717,
                "name": "klein-2020-rtgi-teaser.jpg",
                "type": "image/jpeg",
                "size": 292665,
                "path": "Publication:klein-2020-rtgi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein-2020-rtgi-thesis.pdf",
                "type": "application/pdf",
                "size": 2889336,
                "path": "Publication:klein-2020-rtgi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/klein-2020-rtgi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/klein-2020-rtgi/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2021-leo",
        "type_id": "journalpaper_notalk",
        "tu_id": 301684,
        "repositum_id": "20.500.12708/138840",
        "title": "Linking unstructured evidence to structured observations",
        "date": "2021-01-14",
        "abstract": "Many professionals, like journalists, writers, or consultants, need to acquire information from various sources, make sense of this unstructured evidence, structure their observations, and finally create and deliver their product, such as a report or a presentation. In formative interviews, we found that tools allowing structuring of observations are often disconnected from the corresponding evidence. Therefore, we designed a sensemaking environment with a flexible observation graph that visually ties together evidence in unstructured documents with the user’s structured knowledge. This is achieved through bi-directional deep links between highlighted document portions and nodes in the observation graph. In a controlled study, we compared users’ sensemaking strategies using either the observation graph or a simple text editor on a large display. Results show that the observation graph represents a holistic, compact representation of users’ observations, which can be linked to unstructured evidence on demand. In contrast, users taking textual notes required much more display space to spatially organize source documents containing unstructured evidence. This implies that spatial organization is a powerful strategy to structure observations even if the available space is limited.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "observation graph",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 700,
            "name": "waldner-2021-leo-observation graph.png",
            "type": "image/png",
            "size": 523772,
            "path": "Publication:waldner-2021-leo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1477,
            202,
            1690
        ],
        "doi": "https://doi.org/10.1177/1473871620986249",
        "journal": "Information Visualization",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "mind map",
            "concept map",
            "observation graph",
            "visual links",
            "sensemaking"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "observation graph",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 700,
                "name": "waldner-2021-leo-observation graph.png",
                "type": "image/png",
                "size": 523772,
                "path": "Publication:waldner-2021-leo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-observation graph:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "waldner-2021-leo-Paper.pdf",
                "type": "application/pdf",
                "size": 4071473,
                "path": "Publication:waldner-2021-leo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-Paper:thumb{{size}}.png"
            },
            {
                "description": "accepted version",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2021-leo-preprint.pdf",
                "type": "application/pdf",
                "size": 6410358,
                "path": "Publication:waldner-2021-leo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/waldner-2021-leo-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/waldner-2021-leo/",
        "__class": "Publication"
    },
    {
        "id": "RUMPLER-2021-VOGL",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vulkan and OpenGL Interoperability",
        "date": "2021-01-14",
        "abstract": "The main goal of this project is to implement a working solution for the\ninteroperability between new Vulkan applications and an existing OpenGL framework for\nmobile platforms. For brevity, this existing OpenGL framework is also referred to as the\nframework in this work. A working prototype for specific hardware with a particular driver has\nto be developed and integrated into the framework without breaking its interface for existing\napplications. Furthermore, this prototype should be as platform-independent as possible and\npoint to limitations and problems regarding the interoperability under the existing constraints.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1660
        ],
        "date_end": "2021-01-14",
        "date_start": "2020-06-18",
        "matrikelnr": "01526299",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "graphics APIs",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "RUMPLER-2021-VOGL-report.pdf",
                "type": "application/pdf",
                "size": 197832,
                "path": "Publication:RUMPLER-2021-VOGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/RUMPLER-2021-VOGL/RUMPLER-2021-VOGL-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/RUMPLER-2021-VOGL/RUMPLER-2021-VOGL-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/RUMPLER-2021-VOGL/",
        "__class": "Publication"
    },
    {
        "id": "cardoso-2021-cost",
        "type_id": "inproceedings",
        "tu_id": 301688,
        "repositum_id": null,
        "title": "Cost Volume Refinement for Depth Prediction",
        "date": "2021-01-10",
        "abstract": "Light-field cameras are becoming more popular in\nthe consumer market. Their data redundancy allows, in theory,\nto accurately refocus images after acquisition and to predict the\ndepth of each point visible from the camera. Combined, these\ntwo features allow for the generation of full-focus images, which\nis impossible in traditional cameras.\nMultiple methods for depth prediction from light fields (or\nstereo) have been proposed over the years. A large subset of\nthese methods relies on cost-volume estimates – 3D objects where\neach layer represents a heuristic of whether each point in the\nimage is at a certain distance from the camera. Generally, this\nvolume is used to regress a depth map, which is then refined\nfor better results. In this paper, we argue that refining the cost\nvolumes is superior to refining the depth maps in order to further\nincrease the accuracy of depth predictions. We propose a set of\ncost-volume refinement algorithms and show their effectiveness.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "header",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 217,
            "image_height": 145,
            "name": "cardoso-2021-cost-header.jpg",
            "type": "image/jpeg",
            "size": 34129,
            "path": "Publication:cardoso-2021-cost",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1639,
            1801,
            193
        ],
        "booktitle": "Proceedings of the 25th International Conference on Pattern Recognition",
        "cfp": {
            "name": "1.html",
            "type": "text/html",
            "error": "0",
            "size": "51497",
            "orig_name": "1.html",
            "ext": "html"
        },
        "date_from": "2021-01-10",
        "date_to": "2021-01-15",
        "doi": "10.1109/ICPR48806.2021.9412730",
        "event": "25th International Conference on Pattern Recognition (ICPR)",
        "isbn": "978-1-7281-8809-6",
        "lecturer": [
            1639
        ],
        "location": "Milan, Italy",
        "open_access": "yes",
        "pages_from": "354",
        "pages_to": "361",
        "publisher": "IEEE",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "depth reconstruction",
            "light fields",
            "cost volumes"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Acknowledgements section added.",
                "filetitle": "amended-paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cardoso-2021-cost-amended-paper.pdf",
                "type": "application/pdf",
                "size": 11789393,
                "path": "Publication:cardoso-2021-cost",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-amended-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "header",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 217,
                "image_height": 145,
                "name": "cardoso-2021-cost-header.jpg",
                "type": "image/jpeg",
                "size": 34129,
                "path": "Publication:cardoso-2021-cost",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-header:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "original-paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "cardoso-2021-cost-original-paper.pdf",
                "type": "application/pdf",
                "size": 11772629,
                "path": "Publication:cardoso-2021-cost",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/cardoso-2021-cost-original-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/cardoso-2021-cost/",
        "__class": "Publication"
    },
    {
        "id": "perl_oskar_2021_DVR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distributed Multi-User VR With Full-Body Avatars",
        "date": "2021-01-10",
        "abstract": "Social Virtual Reality applications have the potential to provide a unique way to convey a sense of social presence when compared with other ways of communication in the area of computer mediated communication. Having a virtual body in a social Virtual Reality application can not only heighten the sense of embodiment of the user but can also convey a sense of presence to other users. General interest in social virtual reality applications is rising partly due to virtual reality devices become more affordable, including input technologies like hand tracking. This thesis aims to create a multi-user Virtual Reality application that heightens social presence by representing users with a full-body avatar utilizing current entry level consumer grade virtual reality hardware. Hand tracking in combination with inverse kinematics is used to enhance perceived social presence. Those technologies provide a sufficiently convincing representation of the performed action of the user in a multi user context, while being significantly less cumbersome as solutions using additional trackers or controllers to realize a full body avatar.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1319,
            "image_height": 590,
            "name": "perl_oskar_2021_DVR-image.PNG",
            "type": "image/png",
            "size": 859897,
            "path": "Publication:perl_oskar_2021_DVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1831
        ],
        "date_end": "2021",
        "date_start": "2020",
        "matrikelnr": "01625757",
        "supervisor": [
            1945
        ],
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "virtual reality; multi-user; hand tracking; Inverse Kinematics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1319,
                "image_height": 590,
                "name": "perl_oskar_2021_DVR-image.PNG",
                "type": "image/png",
                "size": 859897,
                "path": "Publication:perl_oskar_2021_DVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "perl_oskar_2021_DVR-thesis.pdf",
                "type": "application/pdf",
                "size": 5144298,
                "path": "Publication:perl_oskar_2021_DVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/perl_oskar_2021_DVR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/perl_oskar_2021_DVR/",
        "__class": "Publication"
    },
    {
        "id": "Mirzaei_Mohammad-2021",
        "type_id": "inproceedings",
        "tu_id": 298519,
        "repositum_id": "20.500.12708/58545",
        "title": "Multi-modal Spatial Object Localization in Virtual Reality for Deaf and Hard-of-Hearing People",
        "date": "2021",
        "abstract": "Information visualization techniques play an important role in Virtual Reality (VR) because they improve task performance, support cognitive processes, and eventually increase the feeling of immersion. Deaf and Hard-of-Hearing (DHH) persons have special needs for information presentation because they feel and perceive VR environments differently. Therefore, it is necessary to pay attention to requirements about presenting information in VR for this group of users. Previous research showed that adding special features and using haptic methods helps DHH persons to do VR tasks better. In this paper, we propose a novel Omni-directional particle visualization method and also evaluate multi-modal presentation methods in VR for DHH persons, such as audio, visual, haptic, and a combination of them (AVH). Additionally, we compare the results with the results of persons without hearing problems. The methods for information presentation in our study focus on spatial object localization in VR. Our user studies show that both DHH persons and persons without hearing problems were able to do VR tasks significantly faster using AVH. Also, we found out that DHH persons can do visual-related VR tasks faster than persons without hearing problems by using our new proposed visualization method. Our results suggest that the benefits of using audio among persons without hearing problems and the benefits of using vision among DHH persons cause an interesting balance in the results of AVH between both groups. Finally, our qualitative and quantitative evaluation indicates that both groups of participants preferred and enjoyed AVH modality more than other modalities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "directional_visualization",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 755,
            "image_height": 650,
            "name": "Mirzaei_Mohammad-2021-directional_visualization.jpg",
            "type": "image/jpeg",
            "size": 217348,
            "path": "Publication:Mirzaei_Mohammad-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1803,
            1720,
            378
        ],
        "booktitle": "IEEE Virtual Reality and 3D User Interfaces (VR)",
        "doi": "10.1109/VR50410.2021.00084",
        "event": "IEEE VR 2021",
        "pages": "9",
        "pages_from": "588",
        "pages_to": "596",
        "publisher": "IEEE Computer Society",
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "Information Presentation",
            "Visualization Techniques",
            "Spatial Object Localization",
            "Deaf and Hard-of- Hearing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "directional_visualization",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 755,
                "image_height": 650,
                "name": "Mirzaei_Mohammad-2021-directional_visualization.jpg",
                "type": "image/jpeg",
                "size": 217348,
                "path": "Publication:Mirzaei_Mohammad-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/Mirzaei_Mohammad-2021-directional_visualization:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021/",
        "__class": "Publication"
    },
    {
        "id": "Mirzaei_Mohammad-2021-HeadUp",
        "type_id": "inproceedings",
        "tu_id": 298516,
        "repositum_id": "20.500.12708/58544",
        "title": "Head Up Visualization of Spatial Sound Sources in Virtual Reality for Deaf and Hard-of-Hearing People",
        "date": "2021",
        "abstract": "This paper presents a novel method for the visualization of 3D spatial sounds in Virtual Reality (VR) for Deaf and Hard-of-Hearing (DHH) people. Our method enhances traditional VR devices with additional haptic and visual feedback, which aids spatial sound localization. The proposed system automatically analyses 3D sound from VR application, and it indicates the direction of sound sources to a user by two Vibro-motors and two Light-Emitting Diodes (LEDs). The benefit of automatic sound analysis is that our method can be used in any VR application without modifying the application itself. We evaluated the proposed method for 3D spatial sound visualization in a user study. Additionally, the conducted user study investigated which condition (corresponding to different senses) leads to faster performance in 3D sound localization task. For this purpose, we compared three conditions: haptic feedback only, LED feedback only, combined haptic and LED feedback. Our study results suggest that DHH participants could complete sound-related VR tasks significantly faster using LED and haptic+LED conditions in comparison to only haptic feedback. The presented method for spatial sound visualization can be directly used to enhance VR applications for use by DHH persons, and the results of our user study can serve as guidelines for the future design of accessible VR systems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Head up display extended with a LEDs (on both sides) for indicating direction of incoming sound",
            "filetitle": "head-up",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 595,
            "image_height": 362,
            "name": "Mirzaei_Mohammad-2021-HeadUp-head-up.jpg",
            "type": "image/jpeg",
            "size": 210940,
            "path": "Publication:Mirzaei_Mohammad-2021-HeadUp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1803,
            1720,
            378
        ],
        "booktitle": "IEEE Virtual Reality and 3D User Interfaces (VR)",
        "doi": "10.1109/VR50410.2021.00083",
        "event": "IEEE VR 2021",
        "pages": "6",
        "pages_from": "582",
        "pages_to": "587",
        "publisher": "IEEE Computer Society",
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "Haptic",
            "Vision",
            "Sound Localization",
            "Deaf",
            "Hard-of-Hearing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Head up display extended with a LEDs (on both sides) for indicating direction of incoming sound",
                "filetitle": "head-up",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 595,
                "image_height": 362,
                "name": "Mirzaei_Mohammad-2021-HeadUp-head-up.jpg",
                "type": "image/jpeg",
                "size": 210940,
                "path": "Publication:Mirzaei_Mohammad-2021-HeadUp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/Mirzaei_Mohammad-2021-HeadUp-head-up:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohammad-2021-HeadUp/",
        "__class": "Publication"
    },
    {
        "id": "Mirzaei_Mohhamad-2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 298522,
        "repositum_id": "20.500.12708/138107",
        "title": "Effects of Using Vibrotactile Feedback on Sound Localization by Deaf and Hard-of-Hearing People in Virtual Environments",
        "date": "2021",
        "abstract": "Sound source localization is important for spatial awareness and immersive Virtual Reality (VR) experiences. Deaf and Hard-of-Hearing (DHH) persons have limitations in completing sound-related VR tasks efficiently because they perceive audio information differently. This paper presents and evaluates a special haptic VR suit that helps DHH persons efficiently complete sound-related VR tasks. Our proposed VR suit receives sound information from the VR environment wirelessly and indicates the direction of the sound source to the DHH user by using vibrotactile feedback. Our study suggests that using different setups of the VR suit can significantly improve VR task completion times compared to not using a VR suit. Additionally, the results of mounting haptic devices on different positions of users´ bodies indicate that DHH users can complete a VR task significantly faster when two vibro-motors are mounted on their arms and ears compared to their thighs. Our quantitative and qualitative analysis demonstrates that DHH persons prefer using the system without the VR suit and prefer mounting vibro-motors in their ears. In an additional study, we did not find a significant difference in task completion time when using four vibro-motors with the VR suit compared to using only two vibro-motors in users´ ears without the VR suit.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "HapticSuit",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 670,
            "image_height": 697,
            "name": "Mirzaei_Mohhamad-2021-HapticSuit.jpg",
            "type": "image/jpeg",
            "size": 212299,
            "path": "Publication:Mirzaei_Mohhamad-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1803,
            1720,
            378
        ],
        "doi": "10.3390/electronics10222794",
        "journal": "Electronics",
        "number": "22",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "10",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "haptic feedback",
            "tactile sensation",
            "sound source localization",
            "deaf and hard-of-hearing"
        ],
        "weblinks": [
            {
                "href": "https://www.mdpi.com/2079-9292/10/22/2794",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "HapticSuit",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 670,
                "image_height": 697,
                "name": "Mirzaei_Mohhamad-2021-HapticSuit.jpg",
                "type": "image/jpeg",
                "size": 212299,
                "path": "Publication:Mirzaei_Mohhamad-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/Mirzaei_Mohhamad-2021-HapticSuit:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Mirzaei_Mohhamad-2021/",
        "__class": "Publication"
    },
    {
        "id": "Podkosova_2021",
        "type_id": "talk",
        "tu_id": 299069,
        "repositum_id": "20.500.12708/58575",
        "title": "Exploring behaviour towards avatars and agents in immersive virtual environments with mixed-agency interactions",
        "date": "2021",
        "abstract": "Immersive virtual environments (IVEs) in which multiple users nav-\n igate by walking and interact with each other in natural ways are\n perfectly suited for team applications from training to recreation. At\n the same time, they can solve scheduling conflicts by employing\n virtual agents in place of missing team members or additional par-\n ticipants of a scenario. While this idea has been long discussed in\n IVEs research there are no prior publications on social interactions\n in systems with multiple embodied users and agents. This paper\n presents an experiment at a work-in-progress stage that addresses\n the impact of perceived agency and control of a virtual character in\n a collaborative scenario with two embodied users and one virtual\n agent. Our future study will investigate whether users treat avatars\n and agents differently within a mixed-agency scenario, analysing\n several behavioural metrics and self-report of participants",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1945,
            1912,
            1913,
            1914,
            1740
        ],
        "date_from": "2021-03-27",
        "date_to": "2021-04-01",
        "doi": "10.1109/VRW52623.2021.00033",
        "event": "IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops",
        "lecturer": [
            1945
        ],
        "location": "Lisbon, Portugal",
        "research_areas": [],
        "keywords": [
            "Collaborative Virtual Reality",
            "Avatars",
            "Virtual Agents"
        ],
        "weblinks": [
            {
                "href": "https://publik.tuwien.ac.at/files/publik_299069.pdf",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Podkosova_2021/",
        "__class": "Publication"
    },
    {
        "id": "Reisinger_Julia-2021-parametricscript",
        "type_id": "inproceedings",
        "tu_id": 296846,
        "repositum_id": "20.500.12708/62967",
        "title": "Framework proposal for automated generation of production layout scenarios: A parametric design technique to connect production planning and structural industrial building design",
        "date": "2021",
        "abstract": "To increase the flexibility and expandability of production plants the focus needs to be on a coherent planning of the production layout and building systems. The frequent reconfiguration of production layouts bears challenges on the load-bearing structure of industrial buildings, decreasing the building service life due to rescheduling or demolition. Currently there is no method established to integrate production layout planning into structural building design processes. In this paper, a novel parametric generative design method for automated production layout generation and optimisation (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study methodology are combined to develop a novel concept of integrated production cubes (IPC). The IPC concept is translated into a parametric PLGO framework, which is tested on a pilot-project of a food-and hygiene production facility and the defined objectives and constraints are validated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Production layout",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 286,
            "image_height": 226,
            "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg",
            "type": "image/jpeg",
            "size": 61797,
            "path": "Publication:Reisinger_Julia-2021-parametricscript",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1874,
            1875,
            1799,
            1720,
            1876
        ],
        "booktitle": "EG-ICE 2021 Workshop on Intelligent Computing in Engineering",
        "date_from": "2021-06-30",
        "date_to": "2021-07-02",
        "doi": "10.14279/depositonce-12021",
        "event": "28th EG-ICE International Workshop on Intelligent Computing in Engineering 2021",
        "isbn": "978-3-7983-3212-6",
        "location": "Berlin, Deutschland",
        "pages": "12",
        "pages_from": "22",
        "pages_to": "33",
        "publisher": "Universitätsverlag der TU Berlin",
        "research_areas": [],
        "keywords": [
            "Parametric modelling",
            "multi-objective optimisation",
            "production layout planning",
            "automated layout generation",
            "generative design",
            "integrated industrial building design"
        ],
        "weblinks": [
            {
                "href": "https://publik.tuwien.ac.at/files/publik_296846.pdf",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Production layout",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 286,
                "image_height": 226,
                "name": "Reisinger_Julia-2021-parametricscript-Production layout.jpg",
                "type": "image/jpeg",
                "size": 61797,
                "path": "Publication:Reisinger_Julia-2021-parametricscript",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/Reisinger_Julia-2021-parametricscript-Production layout:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BimFlexi"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger_Julia-2021-parametricscript/",
        "__class": "Publication"
    },
    {
        "id": "Reisinger-2021-JOBE",
        "type_id": "journalpaper_notalk",
        "tu_id": 298813,
        "repositum_id": "20.500.12708/138206",
        "title": "Integrated multi-objective evolutionary optimization of production layout scenarios for parametric structural design of flexible industrial buildings",
        "date": "2021",
        "abstract": "Due to product individualization, customization and rapid technological advances in manufacturing, production systems are faced with frequent reconfiguration and expansion. Industrial buildings that allow changing production scenarios require flexible load-bearing structures and a coherent planning of the production layout and building systems. Yet, current production planning and structural building design are mostly sequential and the data and models lack interoperability. In this paper, a novel parametric evolutionary design method for automated production layout generation and optimization (PLGO) is presented, producing layout scenarios to be respected in structural building design. Results of a state-of-the-art analysis and a case study are combined to develop a novel concept of integrated production cubes and the design space for PLGO as basis for a parametric production layout design method. The integrated production cubes concept is then translated into a parametric PLGO framework, which is tested on a pilot-project of a hygiene production facility to evaluate the framework and validate the defined constraints and objectives. Results suggest that our framework can produce feasible production layout scenarios which respect flexibility and building requirements. In future research the design process will be extended by the development of a multi-objective evolutionary optimization process for industrial buildings to provide flexible building solutions that can accommodate a selection of several prioritized production layouts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "IPC",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 616,
            "image_height": 523,
            "name": "Reisinger-2021-JOBE-IPC.jpg",
            "type": "image/jpeg",
            "size": 146214,
            "path": "Publication:Reisinger-2021-JOBE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png"
        },
        "sync_repositum_override": "projects",
        "repositum_presentation_id": null,
        "authors": [
            1874,
            1875,
            1799,
            1720,
            1876,
            378
        ],
        "doi": "10.1016/j.jobe.2021.103766",
        "issn": "2352-7102",
        "journal": "Journal of Building Engineering",
        "number": "103766",
        "pages_from": "1",
        "pages_to": "18",
        "volume": "46",
        "research_areas": [],
        "keywords": [
            "Parametric modelling",
            "Multi-objective optimization",
            "Layout planning",
            "Automated production layout generation",
            "Evolutionary algorithm",
            "Integrated industrial building design"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S2352710221016247?via%3Dihub",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "IPC",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 616,
                "image_height": 523,
                "name": "Reisinger-2021-JOBE-IPC.jpg",
                "type": "image/jpeg",
                "size": 146214,
                "path": "Publication:Reisinger-2021-JOBE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/Reisinger-2021-JOBE-IPC:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BimFlexi"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Reisinger-2021-JOBE/",
        "__class": "Publication"
    },
    {
        "id": "schlager-2021-ddo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/18679",
        "title": "Design and development of an immersive collaborative geographical environment for tactical decision-making",
        "date": "2021",
        "abstract": "Planning tactical and strategical military operations is a well-structured and complex process and involves interdisciplinary expertise. A crucial part of the decision-making process of planning tasks that contains geographical data, is familiarizing professionals with the terrain and surrounding infrastructure. This is commonly operated by analog planning tools such as terrain models, sand tables, and standard 2D paper maps. The shortcoming of traditional equipment for tactical analysis is the lack of intuitive transfer of spatial relationships and geographical structures for visibility tasks and height judgment of ground elements. Immersive Virtual Geographical Environments (VGEs) provide advantageous perspectives for rapid decision-making and reasoning in spatial structures. 2D displays offer a 2D impression of a reduced 3D environment, while immersive displays transfer true depth information. Further, digital planning tools support remote collaboration using a virtual task space for the planning process. A virtual task space has several benefits compared to analog equivalents, such as the option to save planning states, visualize a common mental concept, no physical boundaries, and increased engagement.In this thesis, we set out to investigate how to utilize the benefits of immersive virtual spaces for tactical planning and decision-making in the context of a military staff exercise, to overcome the limitations of current analog and 2D digital planning tools. We design and implement a collaborative Virtual Reality (VR) prototype based on requirements derived from observations of an on-site military staff training and unstructured interviews with consultants from the Austrian Institute for Military Geography (IMG). The key contribution of this thesis is the design, implementation, and evaluation of a VR prototype that supports the decision-making and mission planning for officers in training and commanders during a military staff training. The development of our prototype represents a case study for comparable planning tasks in other domains, such as space missions or disaster prevention management.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5222
        ],
        "doi": "10.34726/hss.2021.91667",
        "open_access": "yes",
        "pages": "103",
        "supervisor": [
            378
        ],
        "research_areas": [],
        "keywords": [
            "Virtual Reality (VR)",
            "Geographic Information System (GIS)",
            "Collaborative Virtual Environment (CVE)",
            "Staff Training"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schlager-2021-ddo-thesis.pdf",
                "type": "application/pdf",
                "size": 12703717,
                "path": "Publication:schlager-2021-ddo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/schlager-2021-ddo-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/schlager-2021-ddo-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/schlager-2021-ddo/",
        "__class": "Publication"
    },
    {
        "id": "Honic_2021",
        "type_id": "techreport",
        "tu_id": 299184,
        "repositum_id": "20.500.12708/40378",
        "title": "SCI_BIM Scanning and data capturing for Integrated Resources and Energy Assessment using Building Information Modelling",
        "date": "2021",
        "abstract": "Due to the rapidly increasing consumption of resources and land worldwide, as well as the growing generation of waste, the building stock plays a crucial role not only for the reduction of the energy \n consumption, but also as a future source of materials (urban mining). However, there is a lack of information on the detailed material composition of the building stock, which is the main obstacle for \n modelling and predicting its future use. Therefore, the main research question is whether the use of the digital technologies \"Laser Scanning\" and \"Ground Penetrating Radar\" (GPR) as well as a \n gamification concept, enable to develop and maintain a digital twin (BIM model) which serves as a basis for urban mining.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1798,
            1799,
            1904,
            1905,
            1906,
            1907,
            1908,
            1800,
            193,
            1909,
            1910,
            1911,
            240,
            1720
        ],
        "number": "TR-193-02-2021-2",
        "open_access": "yes",
        "pages": "62",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Honic_2021/",
        "__class": "Publication"
    },
    {
        "id": "Kan_Peter-2021-BuildingMonitoring",
        "type_id": "inproceedings",
        "tu_id": 298512,
        "repositum_id": "20.500.12708/58543",
        "title": "Building Information Monitoring via Gamification",
        "date": "2021",
        "abstract": "For efficient facility management it is of high importance to monitor building information, such as energy consumption, indoor temperature, occupancy as well as changes in building structure. In this paper we present a novel methodology for monitoring information about building via gamification. In our approach, the employees of a facility record the states of building elements by playing a competitive mobile game. Traditionally, external sensors are used to automatically collect information about the building usage. In contrast to that, our methodology utilizes personal mobile phones of employees as sensors to identify objects of interest and report their state. Moreover, we propose to use crowdsourcing as a tool for data collection. This way the users of the mobile game are collecting points and compete with each other. At the end of the game the winning team gets the reward. We utilized various gamification strategies to increase motivation of users to collect building data. We ex tended the traditional 3D BIM model with temporal domain to enable tracking of building changes over time. Finally, we run an experiment with real use case building in which the employees used our system for the duration of three months. We studied our approach and our motivation strategies in a post-experiment study. Our results suggest that gamification can be a viable tool for building information monitoring. Additionally, we note that motivation plays a critical role in the data acquisition by gamification.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Building information monitoring via gamification - web visualization of measured building properties",
            "filetitle": "model",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 792,
            "image_height": 622,
            "name": "Kan_Peter-2021-BuildingMonitoring-model.jpg",
            "type": "image/jpeg",
            "size": 306766,
            "path": "Publication:Kan_Peter-2021-BuildingMonitoring",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1720,
            240,
            1798,
            1799
        ],
        "booktitle": "Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP",
        "doi": "10.5220/0010288902610270",
        "event": "GRAPP 2021",
        "isbn": "978-989-758-488-6",
        "pages": "10",
        "pages_from": "261",
        "pages_to": "270",
        "publisher": "SciTePress",
        "research_areas": [],
        "keywords": [
            "Gamification",
            "Building Monitoring",
            "Building Information Modeling",
            "Spatial Localization",
            "3D Visualization",
            "Mobile Applications",
            "Crowdsourcing"
        ],
        "weblinks": [
            {
                "href": "https://www.scitepress.org/Papers/2021/102889/102889.pdf",
                "caption": "Paper link",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Building information monitoring via gamification - web visualization of measured building properties",
                "filetitle": "model",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 792,
                "image_height": 622,
                "name": "Kan_Peter-2021-BuildingMonitoring-model.jpg",
                "type": "image/jpeg",
                "size": 306766,
                "path": "Publication:Kan_Peter-2021-BuildingMonitoring",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/Kan_Peter-2021-BuildingMonitoring-model:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-BuildingMonitoring/",
        "__class": "Publication"
    },
    {
        "id": "Kan_Peter-2021-MDPI",
        "type_id": "journalpaper_notalk",
        "tu_id": 298527,
        "repositum_id": "20.500.12708/138110",
        "title": "Automatic Interior Design in Augmented Reality Based on Hierarchical Tree of Procedural Rules",
        "date": "2021",
        "abstract": "Augmented reality has a high potential in interior design due to its capability of visualizing numerous prospective designs directly in a target room. In this paper, we present our research on utilization of augmented reality for interactive and personalized furnishing. We propose a new algorithm for automated interior design which generates sensible and personalized furniture configurations. This algorithm is combined with mobile augmented reality system to provide a user with an interactive interior design try-out tool. Personalized design is achieved via a recommender system which uses user preferences and room data as input. We conducted three user studies to explore different aspects of our research. The first study investigated the user preference between augmented reality and on-screen visualization for interactive interior design. In the second user study, we studied the user preference between our algorithm for automated interior design and optimization-based algorithm. Finally, the third study evaluated the probability of sensible design generation by the compared algorithms. The main outcome of our research suggests that augmented reality is viable technology for interactive home furnishing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "ARDesign",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1001,
            "image_height": 678,
            "name": "Kan_Peter-2021-MDPI-ARDesign.jpg",
            "type": "image/jpeg",
            "size": 373887,
            "path": "Publication:Kan_Peter-2021-MDPI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1720,
            1872,
            923,
            1873
        ],
        "doi": "10.3390/electronics10030245",
        "journal": "Electronics",
        "number": "3",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "17",
        "volume": "10",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "interior design",
            "augmented reality",
            "3D content generation",
            "user study",
            "personalized recommender"
        ],
        "weblinks": [
            {
                "href": "https://www.mdpi.com/2079-9292/10/3/245",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "ARDesign",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1001,
                "image_height": 678,
                "name": "Kan_Peter-2021-MDPI-ARDesign.jpg",
                "type": "image/jpeg",
                "size": 373887,
                "path": "Publication:Kan_Peter-2021-MDPI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/Kan_Peter-2021-MDPI-ARDesign:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/Kan_Peter-2021-MDPI/",
        "__class": "Publication"
    },
    {
        "id": "koessler-2021-i3d",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16973",
        "title": "Interactive 3D dense surface exploration in immersive virtual reality",
        "date": "2021",
        "abstract": "Dense 3D reconstructions of real-world environments become wide spread and are foreseen to act as data base to solve real world problems, such as remote inspections. Therefore not only scene viewing is required but also the ability to interact with the environment,such as selection of a user-defined part of the reconstruction for later usage. However, inter-object occlusion is inherent to large dense 3D reconstructions, due to scene geometry or reconstruction artifacts that might result in object containment. Since prior art lacks approaches for occlusion management in environments that consist of one or multiple(large) continuous surfaces, we propose the novel technique Large Scale Cut Plane that enables segmentation and subsequent selection of visible, partly or fully occluded patches within a large 3D reconstruction, even at far distance. An immersive Virtual reality setup consisting of a Head-Mounted Display, a locomotion device (omni-directional treadmill)and a 6DOF-hand-tracking device are combined with the Large Scale Cut Plane technique to foster 3D scene understanding and natural user interactions. We furthermore present results from a user study where we investigate performance and usability of our proposed technique compared to a baseline technique. Our results indicate Large Scale Cut Plane to be superior in terms of speed and precision, while we found need of improvement of the user interface.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1101
        ],
        "doi": "10.34726/hss.2021.28546",
        "open_access": "yes",
        "pages": "72",
        "supervisor": [
            378
        ],
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "3D Interaction",
            "Oclulus Rift",
            "Virtualizer",
            "Interactive Scene Exploration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koessler-2021-i3d-thesis.pdf",
                "type": "application/pdf",
                "size": 2008553,
                "path": "Publication:koessler-2021-i3d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/koessler-2021-i3d-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/koessler-2021-i3d-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/koessler-2021-i3d/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2021-diss",
        "type_id": "phdthesis",
        "tu_id": 301689,
        "repositum_id": "20.500.12708/19584",
        "title": "Visual Analysis of Defects",
        "date": "2021",
        "abstract": "In everyday life, we use many objects on which we rely and expect them to work correctly. We use phones to communicate with friends, bicycles to commute, payment cards to buy groceries. However, due to defects, these objects may fail at some time, leading to adverse outcomes. Modern industry continually improves the quality of outputs (e.g., products and services) and ensures that they meet their specifications. A common quality management strategy is the defect analysis used to identify and control outputs that do not conform to their specifications. Traditional defect analysis methods are often manual and, therefore, time-consuming procedures. To build more efficient solutions, defect analysis increasingly employs visual analytics techniques. These techniques automatize and enhance the up-to-now manual analysis steps and support new visual approaches for defect representations that resolve existing defects without introducing new ones. In this dissertation, visual analytics techniques applied to defect analysis are referred to as visual analysis of defects. Being a rapidly developing area, the domain of visual analysis of defects is still missing a formalized basis.\n\nThis dissertation presents and discusses a workflow for the visual analysis of defects based on the plan-do-check-act cycle of continual improvement. The workflow consists of four steps: defect prevention, control of defective outputs, performance evaluation, and improvement. During the defect prevention step, domain experts plan the design and development processes to ensure that intended results can be achieved while forecasting risks and opportunities. During the control of defective outputs step, domain experts implement the processes and control defects arising throughout these processes. During the performance evaluation step, domain experts ensure that defective outputs are identified by measuring the object's characteristics. During the improvement step, domain experts explore possible actions that improve the object quality.\n\nThis dissertation presents four solutions that advance the visual analysis of defects at the four distinct steps of the workflow. The first solution corresponds to the defect prevention step and provides a preview of dental treatment. It helps dental technicians to identify the most suitable treatment option and avoid cases when patients are unsatisfied with the results due to poor denture aesthetics. The second solution corresponds to the control of defective outputs step and supports dental technicians in designing aesthetic and functional dentures. The approach provides immediate visual feedback on a change in the denture design, which helps to evaluate how the change affects aesthetics. The third solution corresponds to the performance evaluation step and supports material engineers in investigating the damage mechanism in composite materials. First, the system captures and measures various defects such as matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. Later, users analyze these defects using several interactive visualization techniques. The fourth solution corresponds to the improvement step and visualizes 4D dynamical systems describing various phenomena. The solution enables the 4D representation of dynamical systems and allows the 4D representation to seamlessly transition into, familiar to the user, lower-dimensional plots.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1731,
            "image_height": 1726,
            "name": "amirkhanov-2021-diss-teaser.jpg",
            "type": "image/jpeg",
            "size": 119695,
            "path": "Publication:amirkhanov-2021-diss",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": "date",
        "repositum_presentation_id": null,
        "authors": [
            1170
        ],
        "co_supervisor": [
            869,
            611
        ],
        "date_end": "2021",
        "date_start": "2014",
        "doi": "10.34726/hss.2022.99023",
        "open_access": "yes",
        "pages": "178",
        "reviewer_1": [
            1711
        ],
        "reviewer_2": [
            563
        ],
        "rigorosum": "2021-10-18",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis",
            "VisMat"
        ],
        "keywords": [
            "visualization",
            "visual analytics",
            "defect analysis",
            "dentistry",
            "material science",
            "mathematical visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Dissertation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2021-diss-Dissertation.pdf",
                "type": "application/pdf",
                "size": 12790468,
                "path": "Publication:amirkhanov-2021-diss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-Dissertation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1731,
                "image_height": 1726,
                "name": "amirkhanov-2021-diss-teaser.jpg",
                "type": "image/jpeg",
                "size": 119695,
                "path": "Publication:amirkhanov-2021-diss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/amirkhanov-2021-diss-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Smile Analytics"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/amirkhanov-2021-diss/",
        "__class": "Publication"
    },
    {
        "id": "belo-2021-XRG",
        "type_id": "inproceedings",
        "tu_id": 294824,
        "repositum_id": "20.500.12708/58440",
        "title": "XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces",
        "date": "2021",
        "abstract": "Arm discomfort is a common issue in Cross Reality applications involving prolonged mid-air interaction. Solving this problem is\n difficult because of the lack of tools and guidelines for 3D user interface design. Therefore, we propose a method to make existing\n ergonomic metrics available to creators during design by estimating the interaction cost at each reachable position in the user´s\n environment. We present XRgonomics, a toolkit to visualize the interaction cost and make it available at runtime, allowing creators\n to identify UI positions that optimize users´ comfort. Two scenarios show how the toolkit can support 3D UI design and dynamic\n adaptation of UIs based on spatial constraints. We present results from a walkthrough demonstration, which highlight the potential of\n XRgonomics to make ergonomics metrics accessible during the design and development of 3D UIs. Finally, we discuss how the toolkit\n may address design goals beyond ergonomics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1821,
            1822,
            1823,
            1824
        ],
        "booktitle": "CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems",
        "doi": "10.1145/3411764.3445349",
        "event": "2021 CHI Conference on Human Factors in Computing Systems",
        "pages": "11",
        "pages_to": "10",
        "publisher": "ACM Digital Library",
        "research_areas": [],
        "keywords": [
            "Virtual reality",
            "3D User Interfaces",
            "Graphical user interfaces",
            "Human-centered computing",
            "Mixed / augmented reality",
            "Systems and tools for interaction design",
            "Accessibility design and evaluation methods",
            "Walkthrough evaluations",
            "Ergonomics",
            "Toolkit"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/belo-2021-XRG/",
        "__class": "Publication"
    },
    {
        "id": "fourousan2021",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/17529",
        "title": "Visual Analytics for the Exploration of Cultural Models",
        "date": "2021",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1889
        ],
        "date_end": "2021",
        "date_start": "2020",
        "diploma_examina": "2021-04-14",
        "doi": "10.34726/hss.2021.72580",
        "matrikelnr": "01429718",
        "pages": "172",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Visualization",
            "Cultural Models"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fourousan2021-thesis.pdf",
                "type": "application/pdf",
                "size": 6602504,
                "path": "Publication:fourousan2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/fourousan2021-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/fourousan2021-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2021/fourousan2021/",
        "__class": "Publication"
    },
    {
        "id": "Pahr2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16617",
        "title": "Vologram: Educational Craftworks for Volume Physicalization",
        "date": "2020-22-24",
        "abstract": "Long before the onset of computer technology, anatomical sculptures were already used for educational purposes. Digital imaging technology and its incorporation into the clinical workflow through the advancements of medical visualization led to a steady decline in the use of sculpture-based teaching aids. Currently, anatomical volume visualizations are predominantly presented on computer screens. Recent developments in augmented, mixed, and virtual reality o˙er new, exciting ways to digitally display medical imaging data. In recent years, the application of real-world sculptures to display patient imaging data has seen a resurgence through the field of data physicalization. Predominantly, it has been used to enhance the education of medical personnel and laymen through the use of physical models. Expensive 3D printing technology is often employed in the creation of high fidelity anatomical sculptures, with realistic look-and-feel. However, few approaches make use of a˙ordable physicalizations in the field of layman anatomical education.\nIn the course of this thesis di˙erent ways to introduce self-made, custom physical-izations into layman medical education are explored. We propose a suitable concept, the Vologram, to display medical volume data in a visually appealing way for medical non-experts. This takes the form of slide-based sculptures, made out of a˙ordable ma-terials available to the general public with a high degree of interactivity, and can be produced through commonly available means. To support a customizable workflow in the creation of these sculptures, we provide a stand-alone desktop application, which allows layman users to create custom educational sculptures. Real medical imaging data can be filtered and displayed in di˙erent ways, delivering optically diverse results. We evaluate the concept in a small scale study, to determine the e˙ect of interactive medical visualizations as opposed to physicalizations on the target audience. The results of this study point to a great potential for the application of interactive educational concepts for layman anatomical education.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 228,
            "image_height": 213,
            "name": "Pahr2020-Image.JPG",
            "type": "image/jpeg",
            "size": 15174,
            "path": "Publication:Pahr2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1813
        ],
        "co_supervisor": [
            1464
        ],
        "date_end": "2020-11-24",
        "date_start": "2020-01-12",
        "diploma_examina": "2020-11-29",
        "doi": "10.34726/hss.2021.79540",
        "matrikelnr": "0906438",
        "open_access": "yes",
        "pages": "131",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Phyiscalizations",
            "Anatomy Education"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 228,
                "image_height": 213,
                "name": "Pahr2020-Image.JPG",
                "type": "image/jpeg",
                "size": 15174,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pahr2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 4742026,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pahr2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4546791,
                "path": "Publication:Pahr2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/Pahr2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pahr2020/",
        "__class": "Publication"
    },
    {
        "id": "Ortner_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/18026",
        "title": "Tight Integration of Visual Analysis and 3D Real-Time Rendering",
        "date": "2020-12-29",
        "abstract": "In many domains, such as urban planning, civil engineering, or disaster management, analysts\nneed to deal with complex geometric data that also contain multivariate attributes. In addition to\nthe visual analysis of the attribute data, typical tasks involve the localization and understanding\nof shapes, and judging spatial relations between geometric objects and the surrounding geometry,\nas for instance a digital terrain model. One way to address this in a visualization design is with\ncoordinated multiple views, combining a 3D geometric view and attribute views by brushing\n& linking. However, a naive coordination of such views highlights challenges inherent to 3D\nvisualization, as brushed objects may be occluded or lie outside of the current viewing volume.\nThis can easily lead to disorientation and failing of localization, shape understanding, and spatial\nrelation tasks, which ultimately breaks the iterative analysis loop provided through coordinated\nmultiple views.\nIn this thesis we explore different visual integration approaches for combining geometric and\nattribute views with respect to three application domains. In the first chapter, we deal with the\ndomain of tunnel inspection and documentation, concerned with revealing patterns in tunnel\ncrack data. We integrate a 3D geometric view with multiple attribute views to a coordinated\nmultiple view solution and present several domain-specific visualization and interaction strategies\nto overcome the aforementioned challenges. We conclude the chapter with a methodological\nframework that provides visualization designers with integration guidelines regarding ‘Guided\nNavigation’, ‘Enhanced Geometric Rendering’, and ‘Similarity-based Analysis’.\nIn the second chapter, we explore the potential visual impact of candidate buildings to a cityscape\nin the context of visibility-aware urban planning. We present the visualization system Vis-A-Ware\nto qualitatively and quantitatively evaluate and compare visibility data of candidate buildings\nwith respect to a large number of viewpoints. Vis-A-Ware features a 3D view of an urban scene\nand a novel ranking view to compare and filter candidates with respect to visual impact data\nderived from visibility evaluations. The ranking view is tightly integrated with the other views\nfor qualitative evaluation and to judge spatial relations in the cityscape. We provide users with a\nworkflow to ultimately arrive at a small set of candidates supporting a jury-based decision-making\nprocess.\nIn the third chapter, we are concerned with the domain of geological analysis of digital outcrop\nmodels (DOMs) which plays an essential role in the current NASA and ESA missions seeking\nsigns of past life on Mars. Geologists interpret and measure DOMs, create sedimentary logs, and\ncombine them in ‘correlation panels’. Currently, the creation of correlation panels is manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that\nencompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with\nthe stratigraphic analysis. Correlation panels are an important part of geological publications.\nWith InCorr we provide geologists with an interactive correlation panel that is reproducible and\ntakes significantly less effort to create.\nThe results of this thesis demonstrate that the tight integration of 3D geometric and attribute\nviews is essential for certain domains and needs to be approached in a methodological way with\nthoughtful visualization and interaction design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 510,
            "image_height": 341,
            "name": "Ortner_PhD-image.JPG",
            "type": "image/jpeg",
            "size": 47751,
            "path": "Publication:Ortner_PhD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1277
        ],
        "doi": "10.34726/hss.2021.92046",
        "duration": "4",
        "matrikelnr": "00928153",
        "open_access": "yes",
        "pages": "116",
        "reviewer_1": [
            1690
        ],
        "reviewer_2": [
            1248
        ],
        "rigorosum": "2021-03-12",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Interactive Visualization",
            "Integration Spatial and Non-Spatial Data Visualization",
            "Methodology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 510,
                "image_height": 341,
                "name": "Ortner_PhD-image.JPG",
                "type": "image/jpeg",
                "size": 47751,
                "path": "Publication:Ortner_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Ortner_PhD-PhD thesis.pdf",
                "type": "application/pdf",
                "size": 59685331,
                "path": "Publication:Ortner_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/Ortner_PhD-PhD thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner_PhD/",
        "__class": "Publication"
    },
    {
        "id": "AA2020",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2020",
        "date": "2020-12-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Cover",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1755,
            "image_height": 2481,
            "name": "AA2020-Cover.jpg",
            "type": "image/jpeg",
            "size": 433045,
            "path": "Publication:AA2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "AA2020-Card.pdf",
                "type": "application/pdf",
                "size": 8130125,
                "path": "Publication:AA2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Cover",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1755,
                "image_height": 2481,
                "name": "AA2020-Cover.jpg",
                "type": "image/jpeg",
                "size": 433045,
                "path": "Publication:AA2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/AA2020-Cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/AA2020/",
        "__class": "Publication"
    },
    {
        "id": "sakr_sherif-2020-cacm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Future is Big Graphs! A Community View on Graph Processing Systems",
        "date": "2020-12",
        "abstract": "Graphs are by nature ‘unifying abstractions’ that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users and consumers of graph instances and graph workloads understand these abstractions, future problems will require new abstractions and systems. What needs to happen in the next decade for big graph processing to continue to succeed?\nWe are witnessing an unprecedented growth of interconnected data, which underscores the vital role of graph processing in our society. To name only a few remarkable examples of late, the importance of this field for practitioners is evidenced by the large number (over 50,000) of people registered2 to download the Neo4j book “​Graph Algorithms​” in just over 1.5 years, and by the enormous interest in the use of graph processing in the Artificial Intelligence and Machine Learning fields3. Furthermore, the timely Graphs4Covid-19 initiative4 provides evidence for the importance of big graph analytics in alleviating the global COVID-19 pandemic.\nThis article addresses the questions: How do the next-decade big graph processing systems look like from the perspectives of the data management and the large scale systems communities5? What can we say today about the guiding design principles of these systems in the next 10 years?",
        "authors_et_al": true,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "sakr_sherif-2020-cacm-image.png",
            "type": "image/png",
            "size": 43693,
            "path": "Publication:sakr_sherif-2020-cacm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1805,
            1806,
            1807,
            1808,
            1464
        ],
        "journal": "Communications of the ACM ",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "x",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "sakr_sherif-2020-cacm-image.png",
                "type": "image/png",
                "size": 43693,
                "path": "Publication:sakr_sherif-2020-cacm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sakr_sherif-2020-cacm-paper.pdf",
                "type": "application/pdf",
                "size": 711422,
                "path": "Publication:sakr_sherif-2020-cacm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/sakr_sherif-2020-cacm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/sakr_sherif-2020-cacm/",
        "__class": "Publication"
    },
    {
        "id": "spegel-gruenberger-2020",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Charakterisierung der Population von Pflegepatienten in zwei Pflegespitälern mithilfe interaktiver Visualisierungen elektronischer Patientendaten",
        "date": "2020-12",
        "abstract": "Results only accessible for members of the research unit. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1814
        ],
        "date_end": "2020-12",
        "date_start": "2020-09",
        "matrikelnr": "08726501",
        "note": "194.047 Interdisciplinary Project in Data Science",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/spegel-gruenberger-2020/",
        "__class": "Publication"
    },
    {
        "id": "Mossel_Annette_2020-TVR",
        "type_id": "journalpaper_notalk",
        "tu_id": 294049,
        "repositum_id": "20.500.12708/141658",
        "title": "Immersive training of first responder squad leaders in untethered virtual reality",
        "date": "2020-12",
        "abstract": "We present the VROnSite platform that supports immersive training of first responder units´ on-site squad leaders. Our training platform is fully immersive, entirely untethered to ease use and provides two means of navigation-abstract and natural walking-to simulate stress and exhaustion, two important factors for decision making. With the platform´s capabilities, we close a gap in prior art for first responder training. Our research is closely interlocked with stakeholders from multiple fire brigades to gather early feedback in an iterative design process. In this paper, we present the system´s design rationale, provide insight into the process of training scenario development and present results of a user study with 41 squad leaders from the firefighting domain. Virtual disaster environments with two different navigation types were evaluated using quantitative and qualitative measures. Participants considered our platform highly suitable for training of decision making in complex first responder scenarios and results show the importance of the provided navigation technologies in this context.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1815,
            1731,
            1816,
            1727,
            1726,
            378
        ],
        "doi": "10.1007/s10055-020-00487-x",
        "journal": "Virtual Reality",
        "pages_from": "1",
        "pages_to": "15",
        "volume": "204",
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "Mixed Reality",
            "Augmented Virtuality",
            "Training",
            "First Responder",
            "Interaction",
            "3D Object Interaction"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mossel_Annette_2020-TVR/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2020-PHD",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "unknown",
        "date": "2020-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1525
        ],
        "date_start": "2020-12",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/LIPP-2020-PHD/",
        "__class": "Publication"
    },
    {
        "id": "luidolt-2020-lightperceptionVR",
        "type_id": "journalpaper",
        "tu_id": 291224,
        "repositum_id": "20.500.12708/140951",
        "title": "Gaze-Dependent Simulation of Light Perception in Virtual Reality",
        "date": "2020-12",
        "abstract": "The perception of light is inherently different inside a virtual reality (VR) or augmented reality (AR) simulation when compared to the real world. Conventional head-worn displays (HWDs) are not able to display the same high dynamic range of brightness and color as the human eye can perceive in the real world. To mimic the perception of real-world scenes in virtual scenes, it is crucial to reproduce the effects of incident light on the human visual system. In order to advance virtual simulations towards perceptual realism, we present an eye-tracked VR/AR simulation comprising effects for gaze-dependent temporal eye adaption, perceptual glare, visual acuity reduction, and scotopic color vision. Our simulation is based on medical expert knowledge and medical studies of the healthy human eye. We conducted the first user study comparing the perception of light in a real-world low-light scene to a VR simulation. Our results show that the proposed combination of simulated visual effects is well received by users and also indicate that an individual adaptation is necessary, because perception of light is highly subjective.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1478,
            "image_height": 534,
            "name": "luidolt-2020-lightperceptionVR-image.jpg",
            "type": "image/jpeg",
            "size": 1390298,
            "path": "Publication:luidolt-2020-lightperceptionVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1577,
            193,
            1030
        ],
        "cfp": {
            "name": "Screenshot_2020-10-30 Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.png",
            "type": "image/png",
            "error": "0",
            "size": "219516",
            "orig_name": "Screenshot_2020-10-30 Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.png",
            "ext": "png"
        },
        "date_from": "2020-11-09",
        "date_to": "2020-11-13",
        "doi": "10.1109/TVCG.2020.3023604",
        "event": "ISMAR 2020​",
        "first_published": "2020-09-17",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1577
        ],
        "location": "online",
        "pages_from": "3557",
        "pages_to": "3567",
        "volume": "Volume 26, Issue 12",
        "research_areas": [
            "Perception",
            "Rendering",
            "VR"
        ],
        "keywords": [
            "perception",
            "virtual reality",
            "user studies"
        ],
        "weblinks": [
            {
                "href": "https://youtu.be/cY6z2pD7dWc",
                "caption": "Conference Talk",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "additional-material",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "luidolt-2020-lightperceptionVR-additional-material.pdf",
                "type": "application/pdf",
                "size": 37540896,
                "path": "Publication:luidolt-2020-lightperceptionVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-additional-material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-additional-material:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1478,
                "image_height": 534,
                "name": "luidolt-2020-lightperceptionVR-image.jpg",
                "type": "image/jpeg",
                "size": 1390298,
                "path": "Publication:luidolt-2020-lightperceptionVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "luidolt-2020-lightperceptionVR-paper.pdf",
                "type": "application/pdf",
                "size": 31511229,
                "path": "Publication:luidolt-2020-lightperceptionVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "luidolt-2020-lightperceptionVR-slides.pdf",
                "type": "application/pdf",
                "size": 2661389,
                "path": "Publication:luidolt-2020-lightperceptionVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "luidolt-2020-lightperceptionVR-video.mp4",
                "type": "video/mp4",
                "size": 30909955,
                "path": "Publication:luidolt-2020-lightperceptionVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/luidolt-2020-lightperceptionVR-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luidolt-2020-lightperceptionVR/",
        "__class": "Publication"
    },
    {
        "id": "KROESL-2020-SVI",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16475",
        "title": "Simulating Vision Impairments in Virtual and Augmented Reality",
        "date": "2020-11-30",
        "abstract": "There are at least 2.2 billion people affected by vision impairments worldwide, and the number of people suffering from common eye diseases like cataracts, diabetic retinopathy, glaucoma or macular degeneration, which show a higher prevalence with age, is expected to rise in the years to come, due to factors like aging of the population.\n\nMedical publications, ophthalmologists and patients can give some insight into the effects of vision impairments, but for people with normal eyesight (even medical personnel) it is often hard to grasp how certain eye diseases can affect perception. We need to understand and quantify the effects of vision impairments on perception, to design cities, buildings, or lighting systems that are accessible for people with vision impairments. Conducting studies on vision impairments in the real world is challenging, because it requires a large number of participants with exactly the same type of impairment. Such a sample group is often hard or even impossible to find, since not every symptom can be assessed precisely and the same eye disease can be experienced very differently between affected people.\n\nIn this thesis, we address these issues by presenting a system and a methodology to simulate vision impairments, such as refractive errors, cataracts, cornea disease, and age-related macular degeneration in virtual reality (VR) and augmented reality (AR), which allows us to conduct user studies in VR or AR with people with healthy eyesight and graphically simulated vision impairments. We present a calibration technique that allows us to calibrate individual simulated symptoms to the same level of severity for every user, taking hardware constraints as well as vision capabilities of users into account.\n\nWe measured the influence of simulated reduced visual acuity on maximum recognition distances of signage in a VR study and showed that current international standards and norms do not sufficiently consider people with vision impairments. In a second study, featuring our medically based cataract simulations in VR, we found that different lighting systems can positively or negatively affect the perception of people with cataracts. We improved and extended our cataract simulation to video–see-through AR and evaluated and adjusted each simulated symptom together with cataract patients in a pilot study, showing the flexibility and potential of our approach. In future work we plan to include further vision impairments and open source our software, so it can be used for architects and lighting designers to test their designs for accessibility, for training of medical personnel, and to increase empathy for people with vision impairments. This way, we hope to contribute to making this world more inclusive for everyone.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 539,
            "image_height": 270,
            "name": "KROESL-2020-SVI-image.jpg",
            "type": "image/jpeg",
            "size": 32618,
            "path": "Publication:KROESL-2020-SVI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030
        ],
        "co_supervisor": [
            1559
        ],
        "date_end": "2020-10",
        "date_start": "2016-04",
        "duration": "4.5 years",
        "open_access": "yes",
        "reviewer_1": [
            1299
        ],
        "reviewer_2": [
            1299
        ],
        "rigorosum": "2020-11-30",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 539,
                "image_height": 270,
                "name": "KROESL-2020-SVI-image.jpg",
                "type": "image/jpeg",
                "size": 32618,
                "path": "Publication:KROESL-2020-SVI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KROESL-2020-SVI-thesis.pdf",
                "type": "application/pdf",
                "size": 7596645,
                "path": "Publication:KROESL-2020-SVI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/KROESL-2020-SVI-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/KROESL-2020-SVI/",
        "__class": "Publication"
    },
    {
        "id": "Brandstaetter2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16613",
        "title": "Building a Sandbox Towards Investigating the Behavior of Control Algorithms and Training of Real-World Robots",
        "date": "2020-11-26",
        "abstract": "The control of legged robots and teaching robotic hands to grasp are still challenging tasks. Machine learning approaches already work well in simulation. However, the discrepancy between simulation and reality sometimes causes diÿculties when applying simulation results to the real robot. Learning algorithms also require a huge amount of training data. The goal of this work is to build a sandbox that provides a detailed comparison between simulated and real-world robots and o˙ers a way of controlled and continuous data collection and exploration.\nThe sandbox consists of a motion capture and a simulation component. The motion capture component is responsible for the continuous data collection and is realized with a system from OptiTrack with six high-precision infrared cameras. The simulation com-ponent is realized with Simulink and the Simscape Multibody Library. This component is responsible for the exploration and comparison of simulated data with real-world data. The robot that is selected for this work is a small four-legged puppy robot from ROBOTIS that is actuated with 15 Dynamixel servomotors. To integrate the robot into the sandbox, the robot’s controller is reprogrammed to make a transfer from motion data to the robot easier and to control the robot remotely. The robot is programmed with a straight walking gait and equipped with reflective markers to track its movements.\nWith the computer-aided design (CAD) software SolidWorks, a 3D model of the puppy robot is constructed that is used for simulation in Simulink.\nThe result is a system that accurately gathers 6 degrees of freedom (DOF) data of a small robot. This data is transferred to the simulation and can be compared to simulated data. Data from the simulation can also be tested easily on the real robot and tracked again. This way, a closed-loop system is provided for iterative robot exploration.\nTwo datasets are compared with the help of the resulting sandbox: A dataset from ROBOTIS containing ideal joint angles for the robot, and a dataset that is obtained with the motion capture system, containing tracked joint angles. The datasets are simulated and the position and orientation of the robot are compared to the data from the motion capture. Despite strong variations in the simulated results, the simulated robot kept a similar direction and was only a few centimetres o˙ from the real robot.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 382,
            "image_height": 266,
            "name": "Brandstaetter2020-Image.JPG",
            "type": "image/jpeg",
            "size": 19533,
            "path": "Publication:Brandstaetter2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1502
        ],
        "date_end": "2020-11-26",
        "date_start": "2020-10-20",
        "diploma_examina": "2020-11-26",
        "doi": "10.34726/hss.2021.69348",
        "matrikelnr": "01326465",
        "open_access": "yes",
        "pages": "108",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "robotic motion analysis",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 382,
                "image_height": 266,
                "name": "Brandstaetter2020-Image.JPG",
                "type": "image/jpeg",
                "size": 19533,
                "path": "Publication:Brandstaetter2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Brandstaetter2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 20202554,
                "path": "Publication:Brandstaetter2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Brandstaetter2020-Poster.pdf",
                "type": "application/pdf",
                "size": 3741067,
                "path": "Publication:Brandstaetter2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/Brandstaetter2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Brandstaetter2020/",
        "__class": "Publication"
    },
    {
        "id": "Gogel2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16605",
        "title": "Visualization-Guided  Classification of Carbonized  Seeds from Early Human  Civilizations",
        "date": "2020-11-25",
        "abstract": "Since the Neolithic Revolution approximately 10.000 years ago, crop plants are an important part of our food. Researchers of archeobotany try to ﬁnd and determine the species that humankind used already in the past. Most of the gathered samples are preserved due to carbonization, but the shape and inner structures are deformed because of this process. The amount of distortion is given by the temperature and the time they are heated. Normally, an expert is consulted to classify them. Since there are only a few experts in this ﬁeld, an automatic approach is requested. The result of this work is a software, which can load the Computed Tomography (CT) scans, segment and separate the seeds within the samples, calculate diﬀerent shape features as descriptors, and train a classiﬁer. To have an overview of how the seeds look like, diﬀerent volume visualizations are available to show selected samples or median seeds of each class. To validate the probabilities of the learner, additional visualizations are available, which show the inﬂuence of the extracted features on the classiﬁcation. A cross validation method with 1043 known samples results in a classiﬁcation accuracy of 85 %. The incorrectly classiﬁed samples of the ground truth are visualized to display the expert user where they are located regard to the extracted features and which results are especially inaccurate. It turned out, that the opportunity to export the features into a tabular ﬁletype and the visualization of the output probabilities of the classiﬁer for each species were particularly helpful for the domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 638,
            "image_height": 331,
            "name": "Gogel2020-Image.JPG",
            "type": "image/jpeg",
            "size": 29779,
            "path": "Publication:Gogel2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1617
        ],
        "co_supervisor": [
            1110
        ],
        "date_end": "2020-11-25",
        "date_start": "2020-01-12",
        "diploma_examina": "2020-12-15",
        "doi": "10.34726/hss.2021.62641",
        "matrikelnr": "0801243",
        "open_access": "yes",
        "pages": "105",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Visualization-Guided Classification",
            "Ancient Seeds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 638,
                "image_height": 331,
                "name": "Gogel2020-Image.JPG",
                "type": "image/jpeg",
                "size": 29779,
                "path": "Publication:Gogel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gogel2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 11583640,
                "path": "Publication:Gogel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gogel2020-Poster.pdf",
                "type": "application/pdf",
                "size": 3402234,
                "path": "Publication:Gogel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/Gogel2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gogel2020/",
        "__class": "Publication"
    },
    {
        "id": "Ortner2020",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/55606",
        "title": "InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis",
        "date": "2020-11-25",
        "abstract": "Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rover and the NASA 2020 Rover Perseverance missions in seeking signs of past life on Mars. Geologists measure and interpret 3D DOMs, create sedimentary logs and combine them in ‘correlation panels’ to map the extents of key geological horizons, and build a stratigraphic model to understand their position in the ancient landscape. Currently, the creation of correlation panels is completely manual and therefore time-consuming, and inflexible. With InCorr we present a visualization solution that encompasses a 3D logging tool and an interactive data-driven correlation panel that evolves with the stratigraphic analysis. For the creation of InCorr we closely cooperated with leading planetary geologists in the form of a design study. We verify our results by recreating an existing correlation analysis with InCorr and validate our correlation panel against a manually created illustration. Further, we conducted a user-study with a wider circle of geologists. Our evaluation shows that InCorr efficiently supports the domain experts in tackling their research questions and that it has the potential to significantly impact how geologists work with digital outcrop representations in general.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 453,
            "image_height": 323,
            "name": "Ortner2020-Image.JPG",
            "type": "image/jpeg",
            "size": 47209,
            "path": "Publication:Ortner2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1277,
            1494,
            1817,
            1818,
            1819,
            166
        ],
        "cfp": {
            "name": "Papers - Call For Participation VAST 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "797195",
            "orig_name": "Papers - Call For Participation VAST 2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-10",
        "date_to": "2020-10",
        "doi": "10.1109/TVCG.2020.3030409",
        "event": "VAST 2020: IEEE Symposium on Visual Analytics Science and Technology",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1277
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "10",
        "volume": "21",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 453,
                "image_height": 323,
                "name": "Ortner2020-Image.JPG",
                "type": "image/jpeg",
                "size": 47209,
                "path": "Publication:Ortner2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Ortner2020-Paper.pdf",
                "type": "application/pdf",
                "size": 16071836,
                "path": "Publication:Ortner2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/Ortner2020-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Ortner2020/",
        "__class": "Publication"
    },
    {
        "id": "Gall2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16616",
        "title": "Immersive Analytics of Multidimensional Volumetric Data",
        "date": "2020-11-24",
        "abstract": "Understanding and interpreting volumetric multidimensional data is a complex and cognitively demanding task. Especially in the ﬁeld of material science the exploration of large spatial data is crucial. Non-destructive testing (NDT) plays an essential role in industrial production, especially in the ﬁeld of material and component testing, regarding the analysis, visualization, and optimization of new, highly complex material systems such as ﬁber composites. In order to support the increasing demands on these materials and components of the future in industrial applications, extensive inspections and controls are essential. NDT inspection data generated by imaging techniques such as X-ray computed tomography (XCT) include 2D images, volumetric models, and derived high-dimensional data spaces. They can rarely, or only to a limited extent, be evaluated on desktop monitors using standard 2D visualization techniques. Therefore, novel immersive visualization and interaction techniques using Virtual Reality (VR) were developed in this thesis to investigate highly complex, heterogeneous material systems. We present a novel technique called \"Model in Miniature\" for an eﬀective and interactive exploration and visual analysis of ﬁber characteristics. Furthermore, we combine diﬀerent approaches like exploded views, histograms, and node-link diagrams to provide unique insights into the composite materials. Using embodied interaction and navigation, and enhancing the user’s abilities, previously impossible insights into the most complex material structures are possible. We use the latest ﬁndings from the ﬁeld of Immersive Analytics to make the spatial data more comprehensible and test the results in a qualitative study with domain experts. The evaluation of our techniques has shown positive results, which indicate the beneﬁts of an immersive analysis of composite materials and the exploration of overall high-dimensional volumes. The insights gained therefore represent an important step towards the further development of future immersive analysis platforms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 502,
            "image_height": 298,
            "name": "Gall2020-Image.JPG",
            "type": "image/jpeg",
            "size": 31463,
            "path": "Publication:Gall2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1355
        ],
        "co_supervisor": [
            611
        ],
        "date_end": "2020-11-24",
        "date_start": "2020-01-15",
        "diploma_examina": "2020-11-24",
        "matrikelnr": "01225540",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 502,
                "image_height": 298,
                "name": "Gall2020-Image.JPG",
                "type": "image/jpeg",
                "size": 31463,
                "path": "Publication:Gall2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gall2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 17524989,
                "path": "Publication:Gall2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gall2020-Poster.pdf",
                "type": "application/pdf",
                "size": 2277755,
                "path": "Publication:Gall2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/Gall2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gall2020/",
        "__class": "Publication"
    },
    {
        "id": "Heim_2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16606",
        "title": "Visual Comparison of Multivariate Data Ensembles",
        "date": "2020-11-24",
        "abstract": "In safety-critical areas such as aeronautics, but also in other sectors such as the leisure industry, the advancement of respective products is largely driven by the improvement of the materials used. In order to analyze the targeted properties of these new materials, data of the internal structures is generated, using imaging techniques such as X-ray computed tomography (XCT), which is then analyzed in detail using segmentation and quantification algorithms. For materials scientists, the exact design of the internal structures is crucial for the characterization of materials and a comparison of several material candidates based on their characteristics is therefore indispensable for the investigation of di˙erent manufacturing and optimization processes or property behavior.\nCurrently, material scientists are dependent on sequential comparisons when analyzing several material candidates. Distributions of the individual attributes across the material systems need to be compared, which is why this task is typically cognitively demanding, time consuming, and thus error-prone. This work aims to support domain experts in their daily tasks of analysing large ensembles of material data. For this purpose we developed a comparative visualization framework that provides a holistic picture of similarities and dissimilarities in the data by means of an overview visualization and three detailed visualization techniques. Using the dimension reduction method Multidimensional Scaling, the individual structures are summarized and rendered in a table-based visualization technique called Histogram-Table. Information, describing in which attributes the structures are most similar as well as their exact characteristics, is evaluated by statistical calculations, the results of which are visualized in a bar chart and box plot. Finally, the linear correlations between the individual characteristics can be explored in a correlation map. We present the usability of this visualization system by means of three concrete usage scenarios and verify its applicability by means of a qualitative study with 12 material experts. The knowledge gained from our work represents a significant step in the field of comparative material analysis of high-dimensional data and supports experts in making their work easier and more eÿcient.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 262,
            "image_height": 520,
            "name": "Heim_2020-Image.JPG",
            "type": "image/jpeg",
            "size": 29877,
            "path": "Publication:Heim_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1354
        ],
        "co_supervisor": [
            611
        ],
        "date_end": "2020-11-24",
        "date_start": "2020-01-12",
        "diploma_examina": "2020-11-24",
        "matrikelnr": "01226809",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 262,
                "image_height": 520,
                "name": "Heim_2020-Image.JPG",
                "type": "image/jpeg",
                "size": 29877,
                "path": "Publication:Heim_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Heim_2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 20005273,
                "path": "Publication:Heim_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Heim_2020-Poster.pdf",
                "type": "application/pdf",
                "size": 889017,
                "path": "Publication:Heim_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/Heim_2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Heim_2020/",
        "__class": "Publication"
    },
    {
        "id": "Antonini2020",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141814",
        "title": "Spinel web: an interactive web application for visualizing the chemical composition of spinel group minerals",
        "date": "2020-11-23",
        "abstract": "The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed, constituting excellent petrogenetic indicators, and guides in the search for mineral deposits of economic interest. In this article, we present the Spinel Web, a web application to visualize the chemical composition of spinel group minerals. Spinel Web integrates most of the diagrams commonly used for analyzing the chemical characteristics of the spinel group minerals. It incorporates parallel coordinates and a 3D representation of the spinel prisms. It also provides coordinated views and appropriate interactions for users to interact with their datasets. Spinel Web also supports semi-automatic categorization of the geological environment of formation through a standard Web browser.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 222,
            "name": "Antonini2020-Image.JPG",
            "type": "image/jpeg",
            "size": 15627,
            "path": "Publication:Antonini2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1820,
            1228,
            1229,
            1233,
            235,
            166,
            1232,
            1231
        ],
        "doi": "10.1007/s12145-020-00542-w",
        "first_published": "2020-11-23",
        "issn": "18650473",
        "journal": "Earth Science Informatics",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "8",
        "volume": "13",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 222,
                "name": "Antonini2020-Image.JPG",
                "type": "image/jpeg",
                "size": 15627,
                "path": "Publication:Antonini2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Antonini2020-Paper.pdf",
                "type": "application/pdf",
                "size": 1324523,
                "path": "Publication:Antonini2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/Antonini2020-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Antonini2020/",
        "__class": "Publication"
    },
    {
        "id": "Koeppel2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16611",
        "title": "Context-Responsive Labeling in Augmented Reality",
        "date": "2020-11-18",
        "abstract": "Route planning is a common task that often requires additional information on Points-of-Interest (POIs). Augmented Reality (AR) enables mobile users to explore text labels and provides a composite view associated with additional information in a real-world environment. Displaying all labels for Points-of-Interest on a mobile device will lead to unwanted overlaps, and thus a context-responsive strategy to properly arrange labels is expected. This framework should consider removing overlaps, the correct Level-of-Detail to be presented, and also label coherence. This is necessary as the viewing angle in an AR system may change frequently due to users’ behaviors. The consistency of labels plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this thesis, we aim to develop an approach that systematically manages label visibility and Levels-of-Detail, as well as eliminates unexpected incoherent label movement. To achieve this, we introduce three label management strategies, including (1) Occlusion Management, (2) Level-of-Detail Management, and (3) Coherence Management. A greedy approach is developed for fast occlusion handling. A Level-of-Detail scheme is adopted to arrange various types of labels in AR. A 3D scene manipulation is built to simultaneously suppress the incoherent behaviors induced by the changes of viewing angles. Finally, we present our approach’s feasibility and applicability by demonstrating one synthetic and two real-world scenarios, followed by a qualitative user study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 342,
            "image_height": 315,
            "name": "Koeppel2020-Image.JPG",
            "type": "image/jpeg",
            "size": 18157,
            "path": "Publication:Koeppel2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1367
        ],
        "co_supervisor": [
            1464
        ],
        "date_end": "2020-11-18",
        "date_start": "2020-02-12",
        "diploma_examina": "2020-11-18",
        "matrikelnr": "01327052",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 342,
                "image_height": 315,
                "name": "Koeppel2020-Image.JPG",
                "type": "image/jpeg",
                "size": 18157,
                "path": "Publication:Koeppel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Koeppel2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 16776419,
                "path": "Publication:Koeppel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Koeppel2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4132411,
                "path": "Publication:Koeppel2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/Koeppel2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Koeppel2020/",
        "__class": "Publication"
    },
    {
        "id": "wu-2020-tvcg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/140950",
        "title": "Multi-level Area Balancing of Clustered Graphs",
        "date": "2020-11-17",
        "abstract": "We present a multi-level area balancing technique for laying out clustered graphs to facilitate a comprehensive understanding of the complex relationships that exist in various fields, such as life sciences and sociology. Clustered graphs are often used to model relationships that are accompanied by attribute-based grouping information. Such information is essential for robust data analysis, such as for the study of biological taxonomies or educational backgrounds. Hence, the ability to smartly arrange textual labels and packing graphs within a certain screen space is therefore desired to successfully convey the attribute data . Here we propose to hierarchically partition the input screen space using Voronoi tessellations in multiple levels of detail. In our method, the position of textual labels is guided by the blending of constrained forces and the forces derived from centroidal Voronoi cells. The proposed algorithm considers three main factors: (1) area balancing, (2) schematized space partitioning, and (3) hairball management. We primarily focus on area balancing, which aims to allocate a uniform area for each textual label in the diagram. We achieve this by first untangling a general graph to a clustered graph through textual label duplication, and then coupling with spanning-tree-like visual integration. We illustrate the feasibility of our approach with examples and then evaluate our method by comparing it with well-known conventional approaches and collecting feedback from domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2020-tvcg-image.png",
            "type": "image/png",
            "size": 85239,
            "path": "Publication:wu-2020-tvcg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            171
        ],
        "doi": "https://doi.org/10.1109/TVCG.2020.3038154",
        "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "15",
        "volume": "x",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [
            "Graph drawing",
            "Voronoi tessellation",
            "multi-level",
            "spatially-efficient layout"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2020-tvcg-image.png",
                "type": "image/png",
                "size": 85239,
                "path": "Publication:wu-2020-tvcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2020-tvcg-paper.pdf",
                "type": "application/pdf",
                "size": 48103600,
                "path": "Publication:wu-2020-tvcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2020-tvcg-video.mov",
                "type": "video/quicktime",
                "size": 12802528,
                "path": "Publication:wu-2020-tvcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/wu-2020-tvcg-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-tvcg/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2020-ASG",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Applications of Smart Graphics",
        "date": "2020-11-12",
        "abstract": "For a long period of time, the focus of computer graphics was mostly the quality and speed of image generation. Meanwhile, commercial rendering engines leave little to be desired, but computer graphics research has expanded to solve application problems through so-called “smart graphics”. In this talk, I will present some of our latest advances in “smart” computer graphics in simulation, rendering and content generation. I will show how we can now simulate visual impairments in virtual reality, which could be used to create empathy for people affected by these impairments. I will describe how we have advanced point-based rendering techniques to allow incorporating real environments into rendering applications with basically no preprocessing. On the other hand, virtual environments could be created efficiently by collaborative crowed-sourced procedural modeling. Finally, efficient simulations of floods and heavy rainfall may help experts and increase public awareness of natural disasters and the effects of climate change.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2020-11-12",
        "date_to": "2020-11-13",
        "event": "Smart Tools and Applications in Graphics (STAG) 2020",
        "location": "online",
        "open_access": "yes",
        "research_areas": [
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "computer graphics",
            "rendering",
            "simulation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/WIMMER-2020-ASG/",
        "__class": "Publication"
    },
    {
        "id": "Kroesl_2020_11_09",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/55554",
        "title": "CatARact: Simulating Cataracts in Augmented Reality",
        "date": "2020-11-09",
        "abstract": "For our society to be more inclusive and accessible, the more than 2.2 billion people worldwide with limited vision should be considered more frequently in design decisions, such as architectural planning. To help architects in evaluating their designs and give medical per-sonnel some insight on how patients experience cataracts, we worked with ophthalmologists to develop the first medically-informed, pilot-studied simulation of cataracts in eye-tracked augmented reality (AR). To test our methodology and simulation, we conducted a pilot study with cataract patients between surgeries of their two cataract-affected eyes. Participants compared the vision of their corrected eye, viewing through simulated cataracts, to that of their still affected eye, viewing an unmodified AR view. In addition, we conducted remote experiments via video call, live adjusting our simulation and comparing it to related work, with participants who had cataract surgery a few months before. We present our findings and insights from these experiments and outline avenues for future work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 512,
            "name": "Kroesl_2020_11_09-image.png",
            "type": "image/png",
            "size": 483244,
            "path": "Publication:Kroesl_2020_11_09",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1633,
            1577,
            1636,
            1635,
            1634,
            193
        ],
        "booktitle": "IEEE International Symposium on Mixed and Augmented Reality (ISMAR).",
        "cfp": {
            "name": "Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1595938",
            "orig_name": "Call for Papers – ISMAR 2020 – International Symposium on Mixed and Augmented Reality.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-11-09",
        "date_to": "2020-11-13",
        "event": "IEEE International Symposium on Mixed and Augmented Reality (ISMAR).",
        "lecturer": [
            1030
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 512,
                "name": "Kroesl_2020_11_09-image.png",
                "type": "image/png",
                "size": 483244,
                "path": "Publication:Kroesl_2020_11_09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kroesl_2020_11_09-Paper.pdf",
                "type": "application/pdf",
                "size": 1809637,
                "path": "Publication:Kroesl_2020_11_09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/Kroesl_2020_11_09-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kroesl_2020_11_09/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_V5_2020",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87185",
        "title": "Interactive Visual Data Analysis",
        "date": "2020-11-09",
        "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error, and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The concepts will be especially exemplified with a geospatial decision support system for flood management. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2020-11-09",
        "date_to": "2020-11-09",
        "event": "KAUST CEMSE Graduate Seminar (virtual)",
        "location": "KAUST, Saudi Arabia",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://cemse.kaust.edu.sa/events/event/interactive-visual-data-analysis",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V5_2020/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2020-MPC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/58254",
        "title": "Fast Out-of-Core Octree Generation for Massive Point Clouds",
        "date": "2020-11",
        "abstract": "We propose an efficient out-of-core octree generation method for arbitrarily large point clouds. It utilizes a hierarchical counting sort to quickly split the point cloud into small chunks, which are then processed in parallel. Levels of detail are generated by subsampling the full data set bottom up using one of multiple exchangeable sampling strategies. We introduce a fast hierarchical approximate blue-noise strategy and compare it to a uniform random sampling strategy. The throughput, including out-of-core access to disk, generating the octree, and writing the final result to disk, is about an order of magnitude faster than the state of the art, and reaches up to around 6 million points per second for the blue-noise approach and up to around 9 million points per second for the uniform random approach on modern SSDs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2400,
            "image_height": 692,
            "name": "SCHUETZ-2020-MPC-.png",
            "type": "image/png",
            "size": 848082,
            "path": "Publication:SCHUETZ-2020-MPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            948,
            193
        ],
        "cfp": {
            "name": "For Authors - PG2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "909462",
            "orig_name": "For Authors - PG2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2021",
        "date_to": "2021",
        "doi": "10.1111/cgf.14134",
        "event": "Pacific Graphics 2020",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1116
        ],
        "location": "Wellington, NZ",
        "number": "7",
        "open_access": "yes",
        "pages": "13",
        "pages_from": "1",
        "pages_to": "13",
        "publisher": "John Wiley & Sons, Inc.",
        "volume": "39",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point clouds",
            "point-based rendering",
            "level of detail"
        ],
        "weblinks": [
            {
                "href": "https://github.com/potree/PotreeConverter/releases/tag/2.0",
                "caption": "PotreeConverter 2.0 at github ",
                "description": "PotreeConverter generates an octree LOD structure for streaming and real-time rendering of massive point clouds. The results can be viewed in web browsers with Potree or as a desktop application with PotreeDesktop.\n\n",
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=g6k-flKWaNI",
                "caption": "Video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2400,
                "image_height": 692,
                "name": "SCHUETZ-2020-MPC-.png",
                "type": "image/png",
                "size": 848082,
                "path": "Publication:SCHUETZ-2020-MPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2020-MPC-paper.pdf",
                "type": "application/pdf",
                "size": 25053214,
                "path": "Publication:SCHUETZ-2020-MPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/SCHUETZ-2020-MPC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/SCHUETZ-2020-MPC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_V42020",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87184",
        "title": "Medicinae Notitia Visibilis Fac – Quo Vadis?",
        "date": "2020-10-29",
        "abstract": "Medical Visualization is a scientific field that takes advantage of human vision and perception to amplify cognition and gain insight in (complex) medical data. The interdisciplinarity and the diversity of stakeholders and their greatly varying expertises and expectations, make it a demanding area with many overlapping, but distinct domains. Collaboration and communication is challenged by: “Die Grenzen meiner Sprache bedeuten die Grenzen meiner Welt“ (Ludwig Wittgenstein). This talk reflects on the feedback from an ad hoc and random sampling of my professional network with comments, e.g., from basic and applied visual and medical computing experts, commercial developers of medical software, clinical researchers and practitioners.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2020-10-29",
        "date_to": "2020-10-29",
        "event": "IEEE Vis 2020 Application Spotlight (virtual): Recent Challenges in Medical Visualization",
        "location": "Salt Lake City, USA",
        "open_access": "yes",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://virtual.ieeevis.org/session_l-med.html",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V42020/",
        "__class": "Publication"
    },
    {
        "id": "erler-2020-p2s",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/55555",
        "title": "Points2Surf: Learning Implicit Surfaces from Point Clouds",
        "date": "2020-10-28",
        "abstract": "A key step in any scanning-based asset creation workflow is to convert unordered point clouds to a surface. Classical methods (e.g., Poisson reconstruction) start to degrade in the presence of noisy and partial scans. Hence, deep learning based methods have recently been proposed to produce complete surfaces, even from partial scans. However, such data-driven methods struggle to generalize to new shapes with large geometric and topological variations. We present Points2Surf, a novel patch-based learning framework that produces accurate surfaces directly from raw scans without normals.\n\nLearning a prior over a combination of detailed local patches and coarse global information improves generalization performance and reconstruction accuracy.\n\nOur extensive comparison on both synthetic and real data demonstrates a clear advantage of our method over state-of-the-art alternatives on previously unseen classes (on average, Points2Surf brings down reconstruction error by 30% over SPR and by 270%+ over deep learning based SotA methods) at the cost of longer computation times and a slight increase in small-scale topological noise in some cases. \nOur source code, pre-trained model, and dataset are available on: https://github.com/ErlerPhilipp/points2surf\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4161,
            "image_height": 2179,
            "name": "erler-2020-p2s-teaser.png",
            "type": "image/png",
            "size": 4130897,
            "path": "Publication:erler-2020-p2s",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1395,
            627,
            948,
            193,
            1771
        ],
        "address": "Cham",
        "booktitle": "Computer Vision -- ECCV 2020",
        "cfp": {
            "name": "eccv_2020_call_for_papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "255221",
            "orig_name": "eccv_2020_call_for_papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-08-24",
        "date_to": "2020-08-27",
        "doi": "10.1007/978-3-030-58558-7_7",
        "editor": "Vedaldi, Andrea and Bischof, Horst and Brox, Thomas and Frahm, Jan-Michael",
        "event": "ECCV 2020",
        "first_published": "2020-10-28",
        "isbn": "978-3-030-58558-7",
        "journal": "Computer Vision – ECCV 2020",
        "lecturer": [
            1395
        ],
        "location": "Glasgow, UK (online)",
        "open_access": "yes",
        "pages": "17",
        "pages_from": "108",
        "pages_to": "124",
        "publisher": "Springer International Publishing",
        "series": "Lecture Notes in Computer Science",
        "volume": "12350",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "surface reconstruction",
            "implicit surfaces",
            "point clouds",
            "patch-based",
            "local and global",
            "deep learning",
            "generalization"
        ],
        "weblinks": [
            {
                "href": "https://github.com/ErlerPhilipp/points2surf",
                "caption": "Github Repo",
                "description": "Access the source code, pre-trained models and datasets from Github.",
                "main_file": 0
            },
            {
                "href": "https://arxiv.org/abs/2007.10453",
                "caption": "Arxiv Pre-Print",
                "description": "Access the paper pre-print on arXiv.",
                "main_file": 0
            },
            {
                "href": "https://link.springer.com/chapter/10.1007%2F978-3-030-58558-7_7",
                "caption": "Official Publication",
                "description": "Access the paper Springer Link.",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Our normalized ground-truth meshes from the ABC dataset.",
                "filetitle": "abc_meshes",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-abc_meshes.zip",
                "type": "application/x-zip-compressed",
                "size": 726933282,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_meshes.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Our processed extract from the ABC dataset that can be used to train Points2Surf.",
                "filetitle": "abc_training",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-abc_training.zip",
                "type": "application/x-zip-compressed",
                "size": 1786245314,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc_training.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Our processed extract from the ABC dataset that can be used to replicate the results of Points2Surf.",
                "filetitle": "abc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-abc.zip",
                "type": "application/x-zip-compressed",
                "size": 138638856,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-abc.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Our pre-trained models (ablation versions) to reproduce the results.",
                "filetitle": "ablation_models",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-ablation_models.zip",
                "type": "application/x-zip-compressed",
                "size": 242492525,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-ablation_models.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Our processed Famous dataset that can be used to replicate the results of Points2Surf.",
                "filetitle": "famous",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-famous.zip",
                "type": "application/x-zip-compressed",
                "size": 1525449349,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-famous.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "8 min video for ECCV 2020",
                "filetitle": "long video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-long video.mp4",
                "type": "video/mp4",
                "size": 85439106,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-long video:video.mp4"
            },
            {
                "description": "A new model version with even better results.",
                "filetitle": "max_model",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-max_model.zip",
                "type": "application/x-zip-compressed",
                "size": 20010604,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-max_model.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Points2Surf paper (Arxiv version)",
                "filetitle": "points2surf_paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-points2surf_paper.pdf",
                "type": "application/pdf",
                "size": 9135835,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-points2surf_paper:thumb{{size}}.png"
            },
            {
                "description": "Our processed real-world dataset that can be used to replicate the results of Points2Surf.",
                "filetitle": "real_world",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-real_world.zip",
                "type": "application/x-zip-compressed",
                "size": 5942947,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-real_world.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "2 min video for ECCV 2020",
                "filetitle": "short video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-short video.mp4",
                "type": "video/mp4",
                "size": 13862480,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-short video:video.mp4"
            },
            {
                "description": "We present Points2Surf, a method to reconstruct an accurate implicit surface from a noisy point cloud. Unlike current data-driven surface reconstruction methods like DeepSDF and AtlasNet, it is patch-based, improves detail reconstruction, and unlike Screened Poisson Reconstruction (SPR), a learned prior of low-level patch shapes improves reconstruction accuracy. \nNote the quality of reconstructions, both geometric and topological, against the original surfaces. The ability of Points2Surf to generalize to new shapes makes it the first learning-based approach with significant generalization ability under both geometric and topological variations.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4161,
                "image_height": 2179,
                "name": "erler-2020-p2s-teaser.png",
                "type": "image/png",
                "size": 4130897,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-teaser:thumb{{size}}.png"
            },
            {
                "description": "Our processed extract from the Thingi10k dataset that can be used to replicate the results of Points2Surf.",
                "filetitle": "thingi10k",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-thingi10k.zip",
                "type": "application/x-zip-compressed",
                "size": 940826980,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-thingi10k.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Our pre-trained model (vanilla version) to reproduce the results.",
                "filetitle": "vanilla_model",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler-2020-p2s-vanilla_model.zip",
                "type": "application/x-zip-compressed",
                "size": 23009153,
                "path": "Publication:erler-2020-p2s",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/erler-2020-p2s-vanilla_model.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Superhumans",
            "MAKE-IT-FAB",
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/erler-2020-p2s/",
        "__class": "Publication"
    },
    {
        "id": "Meusburger_2020",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Comparison of Spatial Deviations via Geospatial Slicing",
        "date": "2020-10-28",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 495,
            "image_height": 229,
            "name": "Meusburger_2020-Image.JPG",
            "type": "image/jpeg",
            "size": 28468,
            "path": "Publication:Meusburger_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1811
        ],
        "date_end": "2020-10-28",
        "date_start": "2020-04-12",
        "matrikelnr": "01526330",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Meusburger_2020-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 8033013,
                "path": "Publication:Meusburger_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 495,
                "image_height": 229,
                "name": "Meusburger_2020-Image.JPG",
                "type": "image/jpeg",
                "size": 28468,
                "path": "Publication:Meusburger_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/Meusburger_2020-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Meusburger_2020/",
        "__class": "Publication"
    },
    {
        "id": "pointner_simon-2020",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Controllable Animation for Information Visualisation",
        "date": "2020-10-23",
        "abstract": "Understanding and identifying the alternations between different visualisations are cognitively demanding tasks. Distinct visualisations can lead to a different interpretation of data, thus it is important to understand how visualisations correlate with each other and how the insight to the data gained might vary. An approach to achieve the correlation understanding is to introduce animated transitions between different visualisations that allows to precisely follow changes, pursuing the research in the field of animated transitions. In particular, the focus of this research is on animated transitions between commonly used visualisations like bar, doughnut, pie and radial column charts with the addition of implementing them controllable. A controllable animation allows the user to control the animation with a seek-bar like in a video player. This work proposes and implements two new animated transitions, one animation between bar and pie charts and another one for hierarchical bar charts, both utilising other charts as intermediate steps. Expectations are to further improve the effectiveness and graphical perception of animated transitions. Though, a quantitative user study yielded no significant improvements apart from a little effectiveness gain among elder persons.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1796
        ],
        "date_end": "2020-10-23",
        "date_start": "2019-02-26",
        "matrikelnr": "01612401",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "pointner_simon-2020-thesis.pdf",
                "type": "application/pdf",
                "size": 2063267,
                "path": "Publication:pointner_simon-2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/pointner_simon-2020-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/pointner_simon-2020-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pointner_simon-2020/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2020-nch",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87073",
        "title": "VR and Visualization in Industry",
        "date": "2020-10-19",
        "abstract": "We can argue why VR and AR will become more important:\n- Virtual and Augmented Reality are efficient forms of visualizing content for the human:\n\tthey are immersive, 3 dimensional, interactive, natural, and easy to learn\n- Why did that not happen already? Simply because the technology was not ready, there were too many weaknesses. Now technology is ready!\n- And why is visualization important? Visualization is one fundamental pillar of modern computer science.\n- The human eyes carry 80-90% of all information input, images have the highest bandwidth       (you know the saying: a picture is worth a thousand words)\n- And a visual summary of information makes it much easier to identify patterns and trends, \tand to analyze data communication easier and more efficient\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "event": "World VR Industry Conference Cloud Summit",
        "location": "Nanchang, China",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/purgathofer-2020-nch/",
        "__class": "Publication"
    },
    {
        "id": "lipp-2019-rtxq3",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16178",
        "title": "Real-Time Ray Tracing in Quake III",
        "date": "2020-10-15",
        "abstract": "This work discusses the extension of the popular Quake III game engine using real-time raytracing.\nIt investigates how ray tracing can be implemented using the most recent graphics card generation by NVIDIA, which offers dedicated hardware support and acceleration via an new API.\nIn addition, strategies will be discussed about how offline ray-tracing algorithms can be transformed to an online real-time context.\n\nIn order to implement ray tracing, Quake III needs to be extended with a Vulkan backend.\nNext, distributed ray tracing is implemented and is used to render the whole game world except for the user interface (UI) elements. The UI will be handled by the rasterizer.\n\nThe performance and efficiency of ray tracing in a game engine using the RTX hardware features is analyzed and discussed.\nThe focus lies on how quality and performance relate to each other, and how far ray tracing can be pushed with still acceptable frame rate of around 30/60 frames per second.\nFurthermore, implementation strategies that improve the quality, performance or both will be discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 834,
            "image_height": 594,
            "name": "lipp-2019-rtxq3-image.png",
            "type": "image/png",
            "size": 963441,
            "path": "Publication:lipp-2019-rtxq3",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1525
        ],
        "date_end": "2020-10-15",
        "date_start": "2019-03-19",
        "diploma_examina": "2020-11-19",
        "matrikelnr": "01425235",
        "supervisor": [
            193,
            1128
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Rendering",
            "Ray Tracing",
            "RTX",
            "Quake III"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 834,
                "image_height": 594,
                "name": "lipp-2019-rtxq3-image.png",
                "type": "image/png",
                "size": 963441,
                "path": "Publication:lipp-2019-rtxq3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp-2019-rtxq3-poster.pdf",
                "type": "application/pdf",
                "size": 7028484,
                "path": "Publication:lipp-2019-rtxq3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp-2019-rtxq3-thesis.pdf",
                "type": "application/pdf",
                "size": 7214480,
                "path": "Publication:lipp-2019-rtxq3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/lipp-2019-rtxq3-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/lipp-2019-rtxq3/",
        "__class": "Publication"
    },
    {
        "id": "zechmeister2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16181",
        "title": "Interactive Visualization of Vector Data on Heightfields",
        "date": "2020-10-13",
        "abstract": "The accurate visualization of huge amounts of georeferenced vector data on heightfields in real-time is a common problem in the field of geographic information systems (GIS). Vector data usually consist of lines and polygons, which represent objects such as roads, rivers, buildings, and parks. The interactive exploration of these vector entities in large-scale virtual 3D environments and the resulting large zoom range pose an additional performance challenge for their visualization. Ensuring clear visibility of all objects of interest in overview and of their details in close-up views is diÿcult in such large-scale environments.\nIn this thesis, a screen-based visualization method of vector data is proposed, which combines two di˙erent approaches, a static and a dynamic approach, to control the behavior and the visibility of the corresponding vector entities. The vector data can represent real-world objects and to preserve their relative size to the rest of the 3D world, a constant object size is used for the static approach. But, this static behavior can cause vector entities to disappear when zooming out. Since lines are especially a˙ected due to their small width, the dynamic approach scales them according to the current view in order to be clearly visible even from far away.\nThe evaluation results show that both screen-based visualization approaches can be applied in real-world use cases of a geospatial decision support system with large-scale environments and vector data consisting of several millions of vertices and still provide real-time performance. The results also highlight that the proposed screen-based visualization method produces larger render overheads compared with a volume-based visualization, but for large vector data sets, the new method outperforms it.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 447,
            "image_height": 315,
            "name": "zechmeister2020-image.JPG",
            "type": "image/jpeg",
            "size": 47750,
            "path": "Publication:zechmeister2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1793
        ],
        "co_supervisor": [
            877
        ],
        "date_end": "2020-10-13",
        "date_start": "2020-01-20",
        "diploma_examina": "2020-10-13",
        "doi": "10.34726/hss.2020.75003",
        "matrikelnr": "01327455",
        "open_access": "yes",
        "pages": "107",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "View-dependent Visualization",
            "Vector Data Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 447,
                "image_height": 315,
                "name": "zechmeister2020-image.JPG",
                "type": "image/jpeg",
                "size": 47750,
                "path": "Publication:zechmeister2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "zechmeister2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 26225569,
                "path": "Publication:zechmeister2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "zechmeister2020-Poster.pdf",
                "type": "application/pdf",
                "size": 2301383,
                "path": "Publication:zechmeister2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/zechmeister2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zechmeister2020/",
        "__class": "Publication"
    },
    {
        "id": "Mazza_2020",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/140975",
        "title": "Homomorphic-Encrypted Volume Rendering",
        "date": "2020-10-13",
        "abstract": "Computationally demanding tasks are typically calculated in dedicated data centers, and real-time visualizations also follow this trend. Some rendering tasks, however, require the highest level of confidentiality so that no other party, besides the owner, can read or see the sensitive data. Here we present a direct volume rendering approach that performs volume rendering directly on encrypted volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data by using the homomorphic Paillier encryption algorithm. This approach ensures that the volume data and rendered image are uninterpretable to the rendering server. Our volume rendering pipeline introduces novel approaches for encrypted-data compositing, interpolation, and opacity modulation, as well as simple transfer function design, where each of these routines maintains the highest level of privacy. We present performance and memory overhead analysis that is associated with our privacy-preserving scheme. Our approach is open and secure by design, as opposed to secure through obscurity. Owners of the data only have to keep their secure key confidential to guarantee the privacy of their volume data and the rendered images. Our work is, to our knowledge, the first privacy-preserving remote volume-rendering approach that does not require that any server involved be trustworthy; even in cases when the server is compromised, no sensitive data will be leaked to a foreign party.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1871,
            "image_height": 757,
            "name": "Mazza_2020-image.JPG",
            "type": "image/jpeg",
            "size": 151232,
            "path": "Publication:Mazza_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1035,
            616,
            171
        ],
        "cfp": {
            "name": "Papers - IEEE VIS 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "954206",
            "orig_name": "Papers - IEEE VIS 2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-01-10",
        "date_to": "2020-10-13",
        "doi": "10.1109/TVCG.2020.3030436",
        "event": "IEEE VIS (SciVis) 2020 conference",
        "first_published": "2020-10-13",
        "journal": "IEEE Transactions on Visualization andComputer Graphics",
        "lecturer": [
            1035
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "10",
        "volume": "27",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Volume Rendering, Transfer Function, Homomorphic-Encryption, Paillier"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1871,
                "image_height": 757,
                "name": "Mazza_2020-image.JPG",
                "type": "image/jpeg",
                "size": 151232,
                "path": "Publication:Mazza_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mazza_2020-Paper.pdf",
                "type": "application/pdf",
                "size": 1728814,
                "path": "Publication:Mazza_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/Mazza_2020-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mazza_2020/",
        "__class": "Publication"
    },
    {
        "id": "pernsteinre_jakob_2020_eechc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ensuring the Effectiveness of CHC++ in Vulkan",
        "date": "2020-10",
        "abstract": "Real-time occlusion culling is a valuable tool to increase the performance of real-time rendering applications by detecting and removing invisible geometry from the rendering pipeline. Through new rendering Application Programming Interface (API) like Vulkan and modern hardware, these culling algorithms can become even more powerful. This thesis tries to ensure and evaluate the performance of Coherent Hierarchical Culling Revisited (CHC++) in this new environment by performing various optimisations to the algorithm. The changes include the batching of consecutive draw-calls and occlusion queries into single GPU-queue submits to reduce the overhead on the CPU and GPU. Additionally, the support for alpha blended transparent objects was added to the algorithm, which allows for correct culling and rendering of these objects. The algorithm performs great in environments with high occlusion and does not degrade in performance in the worst case scenario. But the high performance increase of the original implementation could not be replicated, which is attributed to the difference in rendering APIs and hardware improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1912,
            "image_height": 1009,
            "name": "pernsteinre_jakob_2020_eechc-teaser.jpg",
            "type": "image/jpeg",
            "size": 348241,
            "path": "Publication:pernsteinre_jakob_2020_eechc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1795
        ],
        "date_end": "2020-10",
        "date_start": "2019-10",
        "matrikelnr": "01627767",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "culling",
            "real-time",
            "GPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1912,
                "image_height": 1009,
                "name": "pernsteinre_jakob_2020_eechc-teaser.jpg",
                "type": "image/jpeg",
                "size": 348241,
                "path": "Publication:pernsteinre_jakob_2020_eechc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pernsteinre_jakob_2020_eechc-Thesis.pdf",
                "type": "application/pdf",
                "size": 2552714,
                "path": "Publication:pernsteinre_jakob_2020_eechc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/pernsteinre_jakob_2020_eechc-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/pernsteinre_jakob_2020_eechc/",
        "__class": "Publication"
    },
    {
        "id": "furmanova_2020",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/140976",
        "title": "VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy",
        "date": "2020-10",
        "abstract": "In radiation therapy (RT) for prostate cancer, changes in patient anatomy during treatment might lead to inadequate tumor coverage and higher irradiation of healthy tissues in the nearby pelvic organs. Exploring and analyzing anatomical variability throughout the course of RT can support the design of more robust treatment strategies, while identifying patients that are prone to radiation-induced toxicity. We present VAPOR, a novel application for the exploration of pelvic organ variability in a cohort of patients, across the entire treatment process. Our application addresses: (i) the global exploration and analysis of anatomical variability in an abstracted tabular view, (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated, and (iii) the correlation of anatomical variability with radiation doses and potential toxicity. The workflow is based on available retrospective cohort data, which include segmentations of the bladder, the prostate, and the rectum through the entire treatment period. VAPOR is applied to four usage scenarios, which were conducted with two medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment adaptation to anatomical changes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1733,
            1366,
            1445,
            1444,
            1568,
            1569,
            166,
            1410
        ],
        "doi": "https://doi.org/10.1016/j.cag.2020.07.001",
        "journal": "Computer & Graphics",
        "note": "Special Section on VCBM 2019",
        "pages_from": "25",
        "pages_to": "38",
        "volume": "91",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1186,
                "preview_image_height": 641,
                "name": "furmanova_2020-paper.pdf",
                "type": "application/pdf",
                "size": 3355311,
                "path": "Publication:furmanova_2020",
                "preview_name": "furmanova_2020-paper:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 382697,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/furmanova_2020-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/furmanova_2020-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/furmanova_2020/",
        "__class": "Publication"
    },
    {
        "id": "raidou_slicedice",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/140980",
        "title": "Slice and Dice: A PhysicalizationWorkflow for Anatomical Edutainment",
        "date": "2020-10",
        "abstract": "During the last decades, anatomy has become an interesting topic in education—even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications have emerged. Still, anatomical models are often preferred, as they facilitate 3D localization of anatomical structures. Recently, data physicalizations (i.e., physical visualizations) have proven to be effective and engaging—sometimes, even more than their virtual counterparts. So far, medical data physicalizations involve mainly 3D printing, which is still expensive and cumbersome. We investigate alternative forms of physicalizations, which use readily available technologies (home printers) and inexpensive materials (paper or semi-transparent films) to generate crafts for anatomical edutainment. To the best of our knowledge, this is the first computer-generated crafting approach within an anatomical edutainment context. Our approach follows a cost-effective, simple, and easy-to-employ workflow, resulting in assemblable data sculptures (i.e., semi-transparent sliceforms). It primarily supports volumetric data (such as CT or MRI), but mesh data can also be imported. An octree slices the imported volume and an optimization step simplifies the slice configuration, proposing the optimal order for easy assembly. A packing algorithm places the resulting slices with their labels, annotations, and assembly instructions on a paper or transparent film of user-selected size, to be printed, assembled into a sliceform, and explored. We conducted two user studies to assess our approach, demonstrating that it is an initial positive step towards the successful creation of interactive and engaging anatomical physicalizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 195,
            "name": "raidou_slicedice-image.png",
            "type": "image/png",
            "size": 51885,
            "path": "Publication:raidou_slicedice",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            166,
            1464
        ],
        "cfp": {
            "name": "For Authors - PG2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "248544",
            "orig_name": "For Authors - PG2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020",
        "date_to": "2020",
        "event": "PG2020",
        "journal": "Computer Graphics Forum (CGF)",
        "lecturer": [
            1410
        ],
        "pages_from": "1",
        "pages_to": "12",
        "volume": "x",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Data Physicalization",
            "Life and Medical Sciences",
            "Anatomical Education"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "example",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_slicedice-example.pdf",
                "type": "application/pdf",
                "size": 1447424,
                "path": "Publication:raidou_slicedice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-example:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 195,
                "name": "raidou_slicedice-image.png",
                "type": "image/png",
                "size": 51885,
                "path": "Publication:raidou_slicedice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 3045,
                "preview_image_height": 3045,
                "name": "raidou_slicedice-paper.pdf",
                "type": "application/pdf",
                "size": 20867356,
                "path": "Publication:raidou_slicedice",
                "preview_name": "raidou_slicedice-paper:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 1021219,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_slicedice-video.mp4",
                "type": "video/mp4",
                "size": 166880657,
                "path": "Publication:raidou_slicedice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/raidou_slicedice-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_slicedice/",
        "__class": "Publication"
    },
    {
        "id": "schindler_2020vis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58250",
        "title": "The Anatomical Edutainer",
        "date": "2020-10",
        "abstract": "Physical visualizations (i.e., data representations by means of physical objects) have been used for many centuries in medical and anatomical education. Recently, 3D printing techniques started also to emerge. Still, other medical physicalizations that rely on affordable and easy-to-find materials are limited, while smart strategies that take advantage of the optical properties of our physical world have not been thoroughly investigated. We propose the Anatomical Edutainer, a workflow to guide the easy, accessible, and affordable generation of physicalizations for tangible, interactive anatomical edutainment. The Anatomical Edutainer supports 2D printable and 3D foldable physicalizations that change their visual properties (i.e., hues of the visible spectrum) under colored lenses or colored lights, to reveal distinct anatomical structures through user interaction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "schindler_2020vis-image.png",
            "type": "image/png",
            "size": 75476,
            "path": "Publication:schindler_2020vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1760,
            1464,
            1410
        ],
        "booktitle": "IEEE Vis Short Papers 2020",
        "cfp": {
            "name": "Short Paper Call for Participation.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "132515",
            "orig_name": "Short Paper Call for Participation.pdf",
            "ext": "pdf"
        },
        "event": "IEEE Vis 2020",
        "lecturer": [
            1410
        ],
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [
            "Fabrication",
            "IllVis",
            "MedVis",
            "Perception"
        ],
        "keywords": [
            "Data Physicalization",
            "Medical Visualization",
            "Anatomical Education"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "schindler_2020vis-image.png",
                "type": "image/png",
                "size": 75476,
                "path": "Publication:schindler_2020vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 416,
                "preview_image_height": 421,
                "name": "schindler_2020vis-paper preprint.pdf",
                "type": "application/pdf",
                "size": 26317989,
                "path": "Publication:schindler_2020vis",
                "preview_name": "schindler_2020vis-paper preprint:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 43449,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/schindler_2020vis-paper preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler_2020vis/",
        "__class": "Publication"
    },
    {
        "id": "cmolik-2020-tvcg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/58318",
        "title": "Mixed Labeling: Integrating Internal and External Labels",
        "date": "2020-09-28",
        "abstract": "In this paper, we present an algorithm capable of mixed labeling of 2D and 3D objects. In mixed labeling, the given objects are labeled with both internal labels placed (at least partially) over the objects and external labels placed in the space around the objects and connected with the labeled objects with straight-line leaders. The proposed algorithm determines the position and type of each label based on the user-specified ambiguity threshold and eliminates overlaps between the labels, as well as between the internal labels and the straight-line leaders of external labels. The algorithm is a screen-space technique; it operates in an image where the 2D objects or projected 3D objects are encoded. In other words, we can use the algorithm whenever we can render the objects to an image, which makes the algorithm fit for use in many domains. The algorithm operates in real-time, giving the results immediately. Finally, we present results from an expert evaluation, in which a professional illustrator has evaluated the label layouts produced with the proposed algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "cmolik-2020-tvcg-image.png",
            "type": "image/png",
            "size": 47074,
            "path": "Publication:cmolik-2020-tvcg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1246,
            1782,
            1464,
            1579
        ],
        "doi": "10.1109/TVCG.2020.3027368",
        "journal": "IEEE Transactions on Visualization and Computer Graphics (TVCG)",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "x",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "cmolik-2020-tvcg-image.png",
                "type": "image/png",
                "size": 47074,
                "path": "Publication:cmolik-2020-tvcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cmolik-2020-tvcg-paper.pdf",
                "type": "application/pdf",
                "size": 12960199,
                "path": "Publication:cmolik-2020-tvcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/cmolik-2020-tvcg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/cmolik-2020-tvcg/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_V3_2020",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87183",
        "title": " Interactive Visual Data Analysis",
        "date": "2020-09-19",
        "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error, and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. Several examples of interactively and visually analyzing data will be discussed in detail. These include: geospatial decision support, radiation therapy planning, and integrative cell biology. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Conference on Image and Graphics Technology and Application (IGTA) 2021",
        "location": "Bejing ",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.bsig.org.cn/detail/2420",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V3_2020/",
        "__class": "Publication"
    },
    {
        "id": "Gietl_2020",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Charakterisierung von Röntgen-CT-Volumendaten von Multi-Material-Messobjekten",
        "date": "2020-09-08",
        "abstract": "Die Computertomografie hat sich in der industriellen Messtechnik in den letzten Jahren als Verfahren zur zerstörungsfreien und schnellen Erfassung aller äußeren und inneren Oberflächen bewährt. Die Ergebnisse einer Computertomografie liegen zunächst in Form eines Volumendatensatzes vor. Für die messtechnische Anwendung müssen Oberflächen-punkte ermittelt werden. Besteht das gemessene Werkstück nur aus einem Material, im Folgenden Monomaterial genannt, so reicht zumeist ein Binarisierungsverfahren aus (z.B. Marching Cubes). Besteht es jedoch aus mehreren Materialien, im Folgenden Multi-Material genannt, werden Segmentierungsverfahren benötigt, insbesondere dann, wenn eine geschlossene Oberflächenbeschreibung (z.B. als Dreiecksnetz) gefordert ist. Die meisten Segmentierungsalgorithmen benötigen eine umfassende Parametrierung, um hinreichend gute Ergebnisse zu erzielen. Die Parametrierung unterscheidet sich jedoch stark für verschiedene Volumendaten. Um die Parameterwerte korrekt zu wählen, sind dazu Kenntnisse über bestimmte Eigenschaften der Daten erforderlich. Es wurde ein Ver-fahren entwickelt, implementiert und validiert, das mithilfe morphologischer Operatoren ermöglicht, umfangreiche Metadaten speichereÿzient zu extrahieren und anschließend abzulegen. Zusätzlich wurde ein Werkzeug implementiert, welches es ermöglicht die-se, i.A. mehrdimensionalen, Statistiken zu visualisieren. Eine intuitive Einschätzung bestimmter Eigenschaften wird hierdurch ermöglicht, was die Parametrierung von Seg-mentierungsalgorithmen vereinfacht. Ansätze zur automatischen Auswertung werden präsentiert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "hidden",
            "image_width": 133,
            "image_height": 132,
            "name": "Gietl_2020-image.JPG",
            "type": "image/jpeg",
            "size": 12220,
            "path": "Publication:Gietl_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gietl_2020/Gietl_2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gietl_2020/Gietl_2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1779
        ],
        "date_end": "2020-09-08",
        "date_start": "2020-02",
        "matrikelnr": "01527148",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Gietl_2020/",
        "__class": "Publication"
    },
    {
        "id": "Iijima-2020-iV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58172",
        "title": "Visualization of Semantic Differential Studies with a Large Number of Images, Participants and Attributes",
        "date": "2020-09-07",
        "abstract": "The Semantic Differential (SD) Method is a rating scale to measure the semantics. Attributes of SD are constructed by collecting the responses of participant’s impres- sions of the objects expressed through Likert scales representing multiple contrasting with some adjective pairs, for example, dark and bright, formal and casual, etc. Impression evaluation can be used as an index that reflects a human subjective feelings to some extent. Impression evaluations using the SD method consist of the responses of many participants, and therefore, the individual differences in the impressions of the participants greatly affect the content of the data. In this study, we propose a visualization system to analyze three aspects of SD, objects (images), participants, and attributes defined by adjective pairs. We visualize the impression evaluation data by applying dimension reduction so that, users can discover the trends and outliers of the data, such as images that are hard to judge or participants that act unpredictably. The system firstly visualizes the attributes or color distribution of the images by applying a dimensional reduction method to the impression or RGB values of each image. Then, our approach displays the average and median of each attribute near the images. This way, we can visualize the three aspects of objects, participants and attributes on a single screen and observe the relationships between image features and user impressions / attribute space. We introduce visualization examples of our system with the dataset inviting 21 participants who performed impression evaluations with 300 clothing images.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 479,
            "image_height": 339,
            "name": "Iijima-2020-iV-image.png",
            "type": "image/png",
            "size": 104231,
            "path": "Publication:Iijima-2020-iV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1787,
            1754,
            1464,
            1366
        ],
        "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)",
        "cfp": {
            "name": "CFP-iV2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "59112",
            "orig_name": "CFP-iV2020.pdf",
            "ext": "pdf"
        },
        "event": "The 24th International Conference on Information Visualisation (iV2020)",
        "lecturer": [
            1787
        ],
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 479,
                "image_height": 339,
                "name": "Iijima-2020-iV-image.png",
                "type": "image/png",
                "size": 104231,
                "path": "Publication:Iijima-2020-iV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Iijima-2020-iV-paper.pdf",
                "type": "application/pdf",
                "size": 4114864,
                "path": "Publication:Iijima-2020-iV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/Iijima-2020-iV-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Iijima-2020-iV/",
        "__class": "Publication"
    },
    {
        "id": "Kuroko-2020-iV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58251",
        "title": "Visualization of Correlations between Places of Music Listening and Acoustic Features ",
        "date": "2020-09-07",
        "abstract": "Users often choose songs with respect to special situations and environments. We designed and developed a music recommendation method inspired by this fact. This method selects songs based on the distribution of acoustic features of the songs listened by a user at particular places that have higher ordinariness for the user. It is important to verify the relationship between the places where the songs are listened to and the acoustic features in this. Hence, we conducted the visualization to explore potential correlations between geographic locations and the music features of single users. In this paper, we designed an interactive visualization tool methods and results for the analysis of the relationship between the places and the acoustic features while listening to the songs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 491,
            "image_height": 364,
            "name": "Kuroko-2020-iV-image.png",
            "type": "image/png",
            "size": 94249,
            "path": "Publication:Kuroko-2020-iV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1785,
            1786,
            1754,
            1366,
            1464
        ],
        "booktitle": "Proceedings of the 24th International Conference on Information Visualisation (iV2020)",
        "cfp": {
            "name": "CFP-iV2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "59112",
            "orig_name": "CFP-iV2020.pdf",
            "ext": "pdf"
        },
        "event": "The 24th International Conference on Information Visualisation (iV2020)",
        "lecturer": [
            1785
        ],
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 491,
                "image_height": 364,
                "name": "Kuroko-2020-iV-image.png",
                "type": "image/png",
                "size": 94249,
                "path": "Publication:Kuroko-2020-iV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kuroko-2020-iV-paper.pdf",
                "type": "application/pdf",
                "size": 1282476,
                "path": "Publication:Kuroko-2020-iV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/Kuroko-2020-iV-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kuroko-2020-iV/",
        "__class": "Publication"
    },
    {
        "id": "Purchase-2020-gd",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58252",
        "title": "The Turing Test for Graph Drawing Algorithms",
        "date": "2020-09",
        "abstract": "DoalgorithmsfordrawinggraphspasstheTuringTest?That is, are their outputs indistinguishable from graphs drawn by humans? We address this question through a human-centred experiment, focusing on ‘small’ graphs, of a size for which it would be reasonable for someone to choose to draw the graph manually. Overall, we find that hand-drawn layouts can be distinguished from those generated by graph drawing al- gorithms, although this is not always the case for graphs drawn by force- directed or multi-dimensional scaling algorithms, making these good can- didates for Turing Test success. We show that, in general, hand-drawn graphs are judged to be of higher quality than automatically generated ones, although this result varies with graph size and algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "Purchase-2020-gd-image.png",
            "type": "image/png",
            "size": 29720,
            "path": "Publication:Purchase-2020-gd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1623,
            1619,
            1783,
            1579,
            1784,
            1464
        ],
        "booktitle": "Proceedings of the 28th International Symposium on Graph Drawing and Network Visualization (GD2020)",
        "cfp": {
            "name": "gd20-cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "182950",
            "orig_name": "gd20-cfp.pdf",
            "ext": "pdf"
        },
        "event": "28th International Symposium on Graph Drawing and Network Visualization ",
        "lecturer": [
            1623
        ],
        "pages_from": "1",
        "pages_to": "16",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "Purchase-2020-gd-image.png",
                "type": "image/png",
                "size": 29720,
                "path": "Publication:Purchase-2020-gd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purchase-2020-gd-paper.pdf",
                "type": "application/pdf",
                "size": 3933269,
                "path": "Publication:Purchase-2020-gd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/Purchase-2020-gd-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Purchase-2020-gd/",
        "__class": "Publication"
    },
    {
        "id": "Presch_2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/15583",
        "title": "Semi-Automatic Creation of Concept Maps",
        "date": "2020-08-20",
        "abstract": "Concept maps are a method for the visualization of knowledge and an established tool in education, knowledge organization and a variety of other fields. They are composed of concepts and interlinked relations between them and are displayed as a node-link diagram. Concept map mining is the process of extracting concept maps from unstructured text. The three approaches to mine concept maps are: manual, semi-automatic or fully automatic. A fully automatic approach cannot mirror the mental knowledge model, which a user would transfer to a manually created concept map. The manual process is often perceived as tedious and ineÿcient, limiting a wide-range application of concept maps.\nThis thesis presents a semi-automatic concept map mining approach that tries to bridge the gap between all manual construction and fully automatic approaches. The advantage of this approach is that the users still have control over how their concept map is constructed, but are not impeded by manual tasks that are often repetitive and ineÿcient. The presented approach is composed of an automatic text processing part, which extracts concepts and relations out of an unstructured text document and is powered by state-of-the-art natural language processing and neural coreference resolution. The second manual concept map creation part allows the creation of concept maps in a user interface and presents the extracted concepts and relations as suggestions to the user.\nIn a user study, an implemented prototype of the proposed semi-automatic concept map mining approach was evaluated. Manual gold standard concept maps that were created by the users and concept maps created by a fully automatic tool were compared to concept maps that were created with the prototype, proving the usefulness of the process. Results show that concept maps created with the semi-automatic prototype are significantly more similar to the gold standard than the ones created by the fully automatic tool. Additionally, considerably improved eÿciency in creation duration and user satisfaction could be observed in comparison to the manual creation of the gold standard maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1423,
            "image_height": 654,
            "name": "Presch_2020-teaser.png",
            "type": "image/png",
            "size": 262144,
            "path": "Publication:Presch_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1687
        ],
        "co_supervisor": [
            1110
        ],
        "date_end": "2020-08-20",
        "date_start": "2020-01-23",
        "diploma_examina": "2020-08-20",
        "doi": "10.34726/hss.2020.70123",
        "matrikelnr": "0602554",
        "open_access": "yes",
        "pages": "122",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Concept Map",
            "Natural language processing",
            "NLP"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Presch_2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 5681227,
                "path": "Publication:Presch_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Presch_2020-Poster.pdf",
                "type": "application/pdf",
                "size": 743440,
                "path": "Publication:Presch_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1423,
                "image_height": 654,
                "name": "Presch_2020-teaser.png",
                "type": "image/png",
                "size": 262144,
                "path": "Publication:Presch_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/Presch_2020-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Presch_2020/",
        "__class": "Publication"
    },
    {
        "id": "Bechtold2020",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Getting Insight on Animal Behaviour through Interactive Visualization of Multiple T-Maze Ensembles",
        "date": "2020-08-20",
        "abstract": "behaviourists and ethologists study cognitive abilities such as learning and memory in rodents to get a better understanding of how similar processes in humans proceed. Often such studies are based on experiments of rodents placed and observed in a Multiple T-Maze. There, the path of the animals are recorded as they move inside the maze, and the resulting trajectories are then analysed. State-of-the-art analysis is based on descriptive parameters and standard statistics where one trajectory at a time is analysed. Usually it is not possible to examine multiple animal paths simultaneously. Together with experts on the field we abstracted the typical work-flow of such analyses and developed an interactive visual analytics tool, with the goal to facilitate the experts’ work and enable a deeper and novel understanding of the learning ability and decision making in rodents. After giving an overview of related works and computer-aided analysis tools in the beginning, the analysis demands and task-breakdown is presented, followed by an Explanation of the data acquisition process, data preprocessing and aggregation. The underlying data structure will be explained as well. The developed analysis tool — the T-Maze Explorer — supports multiple, linked views, which support several traditional methods of visualizations, as well as two newly proposed visualizations fitted to meet the experts’ analysis demands. The first view — the T-Maze View — displays all trajectories of an ensemble with additional options such as highlighting the return path. The purpose of the second view — the Gate-O-Gon view — is to extract information from the trajectories on how often returns in the path occurred and between which parts of the maze these occurred. This information is depicted in a compact and informative novel visualization. The purpose of the T-Maze Explorer is to enable its user to easily find patterns in the data and identify irregular behaviour while inspecting a single path, multiple or the whole trajectory ensemble simultaneously. This thesis provides an insight on how the proposed visualizations were developed, the T-Maze Explorer’s characteristics and benefits as well as it’s limitations. Lastly, a brief excerpt is given on how the T-Maze Explorer could be extended in the future.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 341,
            "image_height": 306,
            "name": "Bechtold2020-image.JPG",
            "type": "image/jpeg",
            "size": 23611,
            "path": "Publication:Bechtold2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1778
        ],
        "date_end": "2020-08-20",
        "date_start": "2020-03-02",
        "matrikelnr": "00827420",
        "supervisor": [
            235
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Bechtold2020-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 1852939,
                "path": "Publication:Bechtold2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 341,
                "image_height": 306,
                "name": "Bechtold2020-image.JPG",
                "type": "image/jpeg",
                "size": 23611,
                "path": "Publication:Bechtold2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/Bechtold2020-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Bechtold2020/",
        "__class": "Publication"
    },
    {
        "id": "Stoll2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/15401",
        "title": " Tactile Multi-Media Guide - Interaction design on tactile reliefs",
        "date": "2020-08-18",
        "abstract": "This thesis was part of the three year ARCHES project. We have set ourselves the goal to create an inclusive cultural environment. The main contribution of this thesis is the development of a new Tactile Multi-Media Guide (TMG). The TMG is an interaction design on tactile reliefs, which makes art accessible for visitors with various visual, hearing and cognitive access preferences. Over 200 people with diverse disabilities from participatory research groups in London, Madrid, Oviedo and Vienna met in the museums, developed ideas, tested and helped shape the prototypes. This thesis establishes a Design for all mixed reality prototype, where users can explore six artworks with their hands and trigger information with speciﬁc gestures. The TMG provides information in form of audio ﬁles, subtitles, sign language videos, as well as texts. It also supports visitors with learning diﬃculties with an easy read version. This thesis shows that experiencing art can be interesting and accessible for everyone. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 500,
            "image_height": 667,
            "name": "Stoll2020-Image.jpg",
            "type": "image/jpeg",
            "size": 80416,
            "path": "Publication:Stoll2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1810
        ],
        "date_end": "2020-08-18",
        "date_start": "2019-09-20",
        "diploma_examina": "2020-08-18",
        "doi": "10.34726/hss.2020.58901",
        "matrikelnr": "00804929",
        "open_access": "yes",
        "pages": "87",
        "supervisor": [
            190
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Interaction",
            "human-centered design",
            "multimedia",
            "tactile"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 500,
                "image_height": 667,
                "name": "Stoll2020-Image.jpg",
                "type": "image/jpeg",
                "size": 80416,
                "path": "Publication:Stoll2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stoll2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 3591058,
                "path": "Publication:Stoll2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stoll2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4009292,
                "path": "Publication:Stoll2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/Stoll2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Stoll2020/",
        "__class": "Publication"
    },
    {
        "id": "riegler_2020_framework",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Performance Framework for Dataset Generation",
        "date": "2020-08-05",
        "abstract": "The aim of this bachelor thesis is the development of a Python framework. The main task for this framework is the generation of datasets, which can be further used for surface reconstruction. They are needed for training a neural network, which is then able to reconstruct meshes on its own given a point cloud of a mesh. In order to optimize the training of the neural network, a lot of training data is needed. This framework utilizes multi-processing to achieve a faster generation process in comparison to sequentially generating one mesh after another.\n\nIn addition, the framework is also able to handle any kind of similar pipeline. The user is able to define the steps of such pipeline in an XML document, which then can make calls to arbitrary programs. This fact makes the framework an all-purpose tool for any kind of task that needs to process a lot of data independent from each other.\n\nThe results show a great performance increase when generating datasets. This can be seen in the benchmarks that have been done. The time of execution for a fixed amount of files has been measured with different modes of execution. The custom process pool we developed shows a faster time overall compared to using Python's process pool for each step of the pipeline independently. It is also way faster in comparison to running every step for each file sequentially.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The processing steps of the dataset generation shown as a graph.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1229,
            "image_height": 755,
            "name": "riegler_2020_framework-teaser.png",
            "type": "image/png",
            "size": 87801,
            "path": "Publication:riegler_2020_framework",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1758
        ],
        "date_end": "2020-08-05",
        "date_start": "2020-04-02",
        "matrikelnr": "1634877",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "dataset generation",
            "framework",
            "surface reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The processing steps of the dataset generation shown as a graph.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1229,
                "image_height": 755,
                "name": "riegler_2020_framework-teaser.png",
                "type": "image/png",
                "size": 87801,
                "path": "Publication:riegler_2020_framework",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "riegler_2020_framework-thesis.pdf",
                "type": "application/pdf",
                "size": 708911,
                "path": "Publication:riegler_2020_framework",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/riegler_2020_framework-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/riegler_2020_framework/",
        "__class": "Publication"
    },
    {
        "id": "Sebernegg2020",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": "20.500.12708/40238",
        "title": "Motion Similarity Modeling - A State of the Art Report",
        "date": "2020-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "MoSiMo",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1278,
            "image_height": 887,
            "name": "Sebernegg2020-MoSiMo.jpg",
            "type": "image/jpeg",
            "size": 148448,
            "path": "Publication:Sebernegg2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1804,
            1720,
            378
        ],
        "number": "TR-193-02-2020-5",
        "open_access": "yes",
        "research_areas": [
            "VR"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/2008.05872",
                "caption": "arXiv",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "MoSiMo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1278,
                "image_height": 887,
                "name": "Sebernegg2020-MoSiMo.jpg",
                "type": "image/jpeg",
                "size": 148448,
                "path": "Publication:Sebernegg2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/Sebernegg2020-MoSiMo:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Sebernegg2020/",
        "__class": "Publication"
    },
    {
        "id": "OTEPKA-2020-PPC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Loading and Visualization of Massive Feature-Richt Point Clouds Without Hierarchical Acceleration Structures",
        "date": "2020-08",
        "abstract": "Nowadays, point clouds are the standard product when capturing reality independent of scale and measurement technique. Especially, Dense Image Matching (DIM) and Laser Scanning (LS) are state of the art capturing methods for a great variety of applications producing detailed point clouds up to billions of points. In-depth analysis of such huge point clouds typically requires sophisticated spatial indexing structures to support potentially long-lasting automated non-interactive processing tasks like feature extraction, semantic labelling, surface generation, and the like. Nevertheless, a visual inspection of the point data is often necessary to obtain an impression of the scene, roughly check for completeness, quality, and outlier rates of the captured data in advance. Also intermediate processing results, containing additional per-point computed attributes, may require visual analyses to draw conclusions or to parameterize further processing. Over the last decades a variety of commercial, free, and open source viewers have been developed that can visualise huge point clouds and colorize them based on available attributes. However, they have either a poor loading and navigation performance, visualize only a subset of the points, or require the creation of spatial indexing structures in advance. In this paper, we evaluate a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time without the need of time consuming hierarchical acceleration structure generation. In combination with our multi-threaded LAS and LAZ loaders, we achieve load performance of up to 20 million points per second, display points already while loading, support flexible switching between different attributes, and rendering up to one billion points with visually appealing navigation behaviour. Furthermore, loading times of different data sets for different open source and commercial software packages are analysed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 521,
            "image_height": 591,
            "name": "OTEPKA-2020-PPC-image.jpg",
            "type": "image/jpeg",
            "size": 59602,
            "path": "Publication:OTEPKA-2020-PPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1701,
            1700,
            1116,
            1797,
            193
        ],
        "cfp": {
            "name": "isprs-archives-XLIII-B2-2020-1-2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1916748",
            "orig_name": "isprs-archives-XLIII-B2-2020-1-2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-08-31",
        "date_to": "2020-09-02",
        "doi": "10.5194/isprs-archives-XLIII-B2-2020-293-2020",
        "event": "XXIV ISPRS Congress (2020 edition)",
        "issn": "1682-1750",
        "journal": "ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
        "lecturer": [
            1701
        ],
        "location": "online",
        "open_access": "yes",
        "pages_from": "293",
        "pages_to": "300",
        "volume": "XLIII-B2-2020",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 521,
                "image_height": 591,
                "name": "OTEPKA-2020-PPC-image.jpg",
                "type": "image/jpeg",
                "size": 59602,
                "path": "Publication:OTEPKA-2020-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "OTEPKA-2020-PPC-paper.pdf",
                "type": "application/pdf",
                "size": 17113367,
                "path": "Publication:OTEPKA-2020-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/OTEPKA-2020-PPC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "External",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/OTEPKA-2020-PPC/",
        "__class": "Publication"
    },
    {
        "id": "honic-2020-w78",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/62920",
        "title": "Scan to BIM for the Semi-Automated Generation of a Material Passport for an Existing Building",
        "date": "2020-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1798,
            1799,
            1800,
            193
        ],
        "booktitle": " Proceedings of the 37th International Conference of CIB W78",
        "cfp": {
            "name": "ICCCBE-CIBW78 2020 in São Paulo - Brazil.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "733465",
            "orig_name": "ICCCBE-CIBW78 2020 in São Paulo - Brazil.pdf",
            "ext": "pdf"
        },
        "event": "Proceedings of the 37th International Conference of CIB W78, Sao Paulo - online",
        "pages_from": "338",
        "pages_to": "346",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://itc.scix.net/paper/w78-2020-paper-024",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/honic-2020-w78/",
        "__class": "Publication"
    },
    {
        "id": "freude_2020_rs",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "R-Score: A Novel Approach to Compare Monte Carlo Renderings",
        "date": "2020-08",
        "abstract": "In this paper, we propose a new approach for the comparison and analysis of Monte Carlo (MC) rendering algorithms. It is based on a novel similarity measure called render score (RS) that is specically designed for MC rendering, statistically motivated, and incorporates bias and variance. Additionally, we propose a comparison scheme that alleviates the need for practically converged reference images (RIs). Our approach can be used to compare and analyze dierent rendering methods by revealing detailed (per-pixel) dierences and subsequently potential conceptual or implementation-related issues, thereby offering a more informative and meaningful alternative to commonly used metrics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser-image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 630,
            "image_height": 533,
            "name": "freude_2020_rs-teaser-image.png",
            "type": "image/png",
            "size": 89069,
            "path": "Publication:freude_2020_rs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1128,
            1129,
            1073,
            193
        ],
        "number": "TR-193-02-2020-4",
        "open_access": "no",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser-image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 630,
                "image_height": 533,
                "name": "freude_2020_rs-teaser-image.png",
                "type": "image/png",
                "size": 89069,
                "path": "Publication:freude_2020_rs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-teaser-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "technical-report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude_2020_rs-technical-report.pdf",
                "type": "application/pdf",
                "size": 1215341,
                "path": "Publication:freude_2020_rs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/freude_2020_rs-technical-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/freude_2020_rs/",
        "__class": "Publication"
    },
    {
        "id": "brugger-2020-tdp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Test Scene Design for Physically Based Rendering",
        "date": "2020-08",
        "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world. Complex scenes can be difficult to compute for rendering algorithms. This paper introduces a new comprehensive test database of scenes that treat different light setups in conjunction with diverse materials and discusses its design principles. A lot of research is focused on the development of new algorithms that can deal with difficult light conditions and materials efficiently. This database delivers a comprehensive foundation for evaluating existing and newly developed rendering techniques. A final evaluation compares different results of different rendering algorithms for all scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser-image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1600,
            "image_height": 900,
            "name": "brugger-2020-tdp-teaser-image.png",
            "type": "image/png",
            "size": 1883053,
            "path": "Publication:brugger-2020-tdp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1780,
            1128,
            193
        ],
        "open_access": "no",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/2008.11657",
                "caption": "arXiv",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brugger-2020-tdp-paper.pdf",
                "type": "application/pdf",
                "size": 45483139,
                "path": "Publication:brugger-2020-tdp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser-image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 900,
                "name": "brugger-2020-tdp-teaser-image.png",
                "type": "image/png",
                "size": 1883053,
                "path": "Publication:brugger-2020-tdp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/brugger-2020-tdp-teaser-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tdp/",
        "__class": "Publication"
    },
    {
        "id": "Nowak_2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/16969",
        "title": "Hierarchical Multi-resolution Data Structure for Molecular Visualization",
        "date": "2020-07-27",
        "abstract": "The complexity of biomolecular data sets is both high, and still rising. Three-dimensional models of molecules are used in research to test and investigate their properties. Such models can consist of several millions of atoms. Additionally, visual enhancement methods\nand molecular surface models are helpful when visualizing molecules. There is therefore a demand for efficient and flexible data structures to accommodate such large point-based data sets.\nExisting solutions in the field of molecular visualization for large data sets include the use of, in most cases, regular grid-based data structures, as well as levels of detail. Other papers focus on repeating structures or improving the efficiency of surface models.\nWe propose an octree-based data structure that divides space into areas of similar density, and provides several levels of detail. Our approach is optimized for a single time-step, moving much of the computational overhead into a pre-processing step. This allows us to speed up frame rates for interactive visualizations using visibility culling, least recently used caching based on the pre-built octree data structure, and level of detail solutions such as depth-based level of detail rendering.\nIn our evaluation, we show that level of detail rendering significantly improves frame rates, especially in the case of distance-based level of detail selection while keeping the amount of details in the foreground high. Both the possibility to reduce the resolution and the\ncaching strategy that allows us to only upload visible parts of the data set make it possible to render data sets that previously exhausted the capacities of our test set-up. We found the main advantage of a density based octree, instead of a regular division of space, to be\nin neighbourhood-based calculations, such as the clustering algorithm required to build levels of detail. This could prove particularly useful for the implementation of a Solvent Excluded Surface (SES) representation model, which would be an important feature to include when developing the framework further.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1068,
            "image_height": 324,
            "name": "Nowak_2020-Image.JPG",
            "type": "image/jpeg",
            "size": 105988,
            "path": "Publication:Nowak_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1923
        ],
        "date_end": "2020-07-27",
        "date_start": "2010-02-21",
        "diploma_examina": "2020-07-27",
        "doi": "10.34726/hss.2021.53962",
        "matrikelnr": "0927584",
        "open_access": "yes",
        "pages": "110",
        "supervisor": [
            161
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "Molecular Visualization",
            "Real-Time Rendering",
            "Computer Graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1068,
                "image_height": 324,
                "name": "Nowak_2020-Image.JPG",
                "type": "image/jpeg",
                "size": 105988,
                "path": "Publication:Nowak_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Nowak_2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 4783960,
                "path": "Publication:Nowak_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/Nowak_2020-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Nowak_2020/",
        "__class": "Publication"
    },
    {
        "id": "Neubauer2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/15249",
        "title": "Volumetric Image Segmentation on Multimodal Medical Images using Deep Learning",
        "date": "2020-07-25",
        "abstract": "The automatic segmentation of tumors on different imaging modalities supports medical experts in patient diagnosis and treatment. Magnetic resonance imaging (MRl), Computed Tomography (CT), or Positron Emission Tomography (PET) show the tumor in a different anatomical. functional, or molecular context. The fusion of this multimodal information leads to more profound knowledge and enabler more precise diagnoses. So far, the potential of multimodal data is only used by a few established segmentation methods. Moreover, much less is known about multimodal methods that provide several multimodal-specific tumor segmentations instead of single segmentations for a specific modality. \nThis thesis aims to develop a segmentation method that uses multimodal context to improve t the modality-specific segmentation results. For the implementation, an artificial neural network is used, which is based on a fully convolution neural network. The network architecture  has been designed to learn complex multimodal features to predict multiple tumor segmentations on different modalities efficiently. \nThe evaluation is based on a dataset consisting of MRl aid PET /CT scans of soft soft tissue tumors. The experiment investigated how different network architectures, multimodal fusion strategies, and input modalities affect the segmentation results. Tbc investigation showed that multimodal rondels lead to significantly better results than models for single modalities. Promising results have been achieved with multimodal models that segment several modality-specific tumor contours simultaneously.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 236,
            "image_height": 286,
            "name": "Neubauer2020-image.JPG",
            "type": "image/jpeg",
            "size": 23529,
            "path": "Publication:Neubauer2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1777
        ],
        "co_supervisor": [
            231
        ],
        "date_end": "2020-07-25",
        "date_start": "2019-12-10",
        "diploma_examina": "2020-08-05",
        "doi": "10.34726/hss.2020.73220",
        "matrikelnr": "01609920",
        "open_access": "yes",
        "pages": "118",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "tumor segmentation",
            "deep learning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 236,
                "image_height": 286,
                "name": "Neubauer2020-image.JPG",
                "type": "image/jpeg",
                "size": 23529,
                "path": "Publication:Neubauer2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Neubauer2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 9032923,
                "path": "Publication:Neubauer2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neubauer2020-Poster.pdf",
                "type": "application/pdf",
                "size": 9820244,
                "path": "Publication:Neubauer2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/Neubauer2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Neubauer2020/",
        "__class": "Publication"
    },
    {
        "id": "miao_nar_2020",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141025",
        "title": "Adenita: interactive 3D modelling and visualization of DNA nanostructures",
        "date": "2020-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1229,
            "preview_image_height": 579,
            "name": "miao_nar_2020-.pdf",
            "type": "application/pdf",
            "size": 1444761,
            "path": "Publication:miao_nar_2020",
            "preview_name": "miao_nar_2020-:preview.png",
            "preview_type": "image/png",
            "preview_size": 391675,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1474,
            1263,
            1471,
            1774,
            1775,
            171,
            1473
        ],
        "doi": "10.1093/nar/gkaa593",
        "journal": "Nucleic Acids Research",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://academic.oup.com/nar/article-pdf/doi/10.1093/nar/gkaa593/33517747/gkaa593.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1229,
                "preview_image_height": 579,
                "name": "miao_nar_2020-.pdf",
                "type": "application/pdf",
                "size": 1444761,
                "path": "Publication:miao_nar_2020",
                "preview_name": "miao_nar_2020-:preview.png",
                "preview_type": "image/png",
                "preview_size": 391675,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/miao_nar_2020-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/miao_nar_2020/",
        "__class": "Publication"
    },
    {
        "id": "kerbl-2020-improvencoding",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improved Triangle Encoding for Cached Adaptive Tessellation",
        "date": "2020-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Lod",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1680,
            "image_height": 850,
            "name": "kerbl-2020-improvencoding-Lod.png",
            "type": "image/png",
            "size": 19386,
            "path": "Publication:kerbl-2020-improvencoding",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1772,
            1650,
            193
        ],
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1255664",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-05-01",
        "date_to": "2020-06-22",
        "event": "HPG 2020",
        "location": "online",
        "open_access": "yes",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "GPU",
            "tessellation",
            "real-time"
        ],
        "weblinks": [
            {
                "href": "https://www.highperformancegraphics.org/2020/program/",
                "caption": "HPG 2020 page with download link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Lod",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1680,
                "image_height": 850,
                "name": "kerbl-2020-improvencoding-Lod.png",
                "type": "image/png",
                "size": 19386,
                "path": "Publication:kerbl-2020-improvencoding",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-Lod:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kerbl-2020-improvencoding-paper.pdf",
                "type": "application/pdf",
                "size": 2356615,
                "path": "Publication:kerbl-2020-improvencoding",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kerbl-2020-improvencoding-poster.pdf",
                "type": "application/pdf",
                "size": 1126638,
                "path": "Publication:kerbl-2020-improvencoding",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "terrain",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1680,
                "image_height": 850,
                "name": "kerbl-2020-improvencoding-terrain.png",
                "type": "image/png",
                "size": 1397504,
                "path": "Publication:kerbl-2020-improvencoding",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-terrain.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/kerbl-2020-improvencoding-terrain:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kerbl-2020-improvencoding/",
        "__class": "Publication"
    },
    {
        "id": "reznicek-2020-fpgaray",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/15010",
        "title": "FPGARay: Accelerating Physically Based Rendering Using FPGAs",
        "date": "2020-06-30",
        "abstract": "The synthesis of an image from a scene stored on a computer is called rendering, which is able to deliver photo-realistic results, e.g., by using specific variants of the class of ray tracing\nalgorithms. However, these variants (e.g., path tracing) possess a stochastic characteristic which results in a high computational expense. This is explained by the nature of stochastic algorithms, which use a high number of samples to compute a result—in case of ray tracing, these samples manifest in a high number of rays needed for a complete rendering.\n\nOne possibility to accelerate ray tracing—no matter if using a stochastic or simpler variants—is the use of customized hardware. FPGRay is such an approach, which combines the use of customized hardware with the software of an off-the-shelf PC to a hybrid solution. This allows increasing the efficiency by specialized hardware and delivers a sustainability in case of changing algorithms at the same time.\n\nThe results point towards a possible efficiency gain. Unfortunately, in the scope of this thesis this was not realizable and the specific implementation showed a lower efficiency compared to the software implementation. Nevertheless, the possibility to achieve a higher efficiency with this approach by indicating FPGRay’s potential could be shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2473,
            "image_height": 1643,
            "name": "reznicek-2020-fpgaray-image.jpg",
            "type": "image/jpeg",
            "size": 222318,
            "path": "Publication:reznicek-2020-fpgaray",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1541
        ],
        "date_end": "2020-06-30",
        "date_start": "2017-03-16",
        "diploma_examina": "2020-06-30",
        "doi": "10.34726/hss.2020.45543",
        "matrikelnr": "01125076",
        "open_access": "yes",
        "pages": "121",
        "supervisor": [
            1129,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Rendering",
            "FPGA",
            "hardware acceleration",
            "ray tracing",
            "path tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2473,
                "image_height": 1643,
                "name": "reznicek-2020-fpgaray-image.jpg",
                "type": "image/jpeg",
                "size": 222318,
                "path": "Publication:reznicek-2020-fpgaray",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "reznicek-2020-fpgaray-poster.pdf",
                "type": "application/pdf",
                "size": 758792,
                "path": "Publication:reznicek-2020-fpgaray",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "reznicek-2020-fpgaray-thesis.pdf",
                "type": "application/pdf",
                "size": 19196600,
                "path": "Publication:reznicek-2020-fpgaray",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/reznicek-2020-fpgaray-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reznicek-2020-fpgaray/",
        "__class": "Publication"
    },
    {
        "id": "zsolnaifeher-2020-pme",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/141026",
        "title": "Photorealistic Material Editing Through Direct Image Manipulation",
        "date": "2020-06-29",
        "abstract": "Creating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained artist with specialized knowledge. In this work, we present a technique that aims to empower novice and intermediate-level users to synthesize high-quality photorealistic materials by only requiring basic image processing knowledge. In the proposed workflow, the user starts with an input image and applies a few intuitive transforms (e.g., colorization, image inpainting) within a 2D image editor of their choice, and in the next step, our technique produces a photorealistic result that approximates this target image. Our method combines the advantages of a neural network-augmented optimizer and an encoder neural network to produce high-quality output results within 30 seconds. We also demonstrate that it is resilient against poorly-edited target images and propose a simple extension to predict image sequences with a strict time budget of 1-2 seconds per image.\n\nVideo: https://www.youtube.com/watch?v=8eNHEaxsj18",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 883,
            "image_height": 934,
            "name": "zsolnaifeher-2020-pme-image.jpg",
            "type": "image/jpeg",
            "size": 239774,
            "path": "Publication:zsolnaifeher-2020-pme",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073,
            194,
            193
        ],
        "cfp": {
            "name": "[Members] Updated EGSR CFP.eml",
            "type": "message/rfc822",
            "error": "0",
            "size": "23492",
            "orig_name": "[Members] Updated EGSR CFP.eml",
            "ext": "eml"
        },
        "date_from": "2020-06-29",
        "date_to": "2020-07-03",
        "doi": "10.1111/cgf.14057",
        "event": "Eurographics Symposium on Rendering 2020",
        "first_published": "2020-07-20",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1073
        ],
        "location": "London, UK",
        "number": "4",
        "open_access": "yes",
        "pages": "14",
        "pages_from": "107",
        "pages_to": "120",
        "volume": "39",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "neural rendering",
            "neural networks",
            "photorealistic rendering",
            "photorealistic material editing"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/photorealistic-material-editing/",
                "caption": "Source code",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=8eNHEaxsj18",
                "caption": "Supplementary video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 883,
                "image_height": 934,
                "name": "zsolnaifeher-2020-pme-image.jpg",
                "type": "image/jpeg",
                "size": 239774,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2768,
                "image_height": 2959,
                "name": "zsolnaifeher-2020-pme-image2.jpg",
                "type": "image/jpeg",
                "size": 976205,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "zsolnaifeher-2020-pme-image3.jpg",
                "type": "image/jpeg",
                "size": 631004,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image3:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "zsolnaifeher-2020-pme-image4.jpg",
                "type": "image/jpeg",
                "size": 666732,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image4.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image4:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image5",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3840,
                "image_height": 2160,
                "name": "zsolnaifeher-2020-pme-image5.jpg",
                "type": "image/jpeg",
                "size": 616892,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image5.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-image5:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnaifeher-2020-pme-paper.pdf",
                "type": "application/pdf",
                "size": 11320226,
                "path": "Publication:zsolnaifeher-2020-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/zsolnaifeher-2020-pme-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PathSpace"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/zsolnaifeher-2020-pme/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2020-nan",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Role of Visual Computing in the Digitization Process",
        "date": "2020-06-23",
        "abstract": "We are living in interesting times, with the fastest technological development that humankind has ever experienced.\nThe last 200 years have brought us the industrial revolution.\nPeople have learned to build machines to release themselves from hard muscle work and from dangerous work.\nPeople have developed new technologies that enabled the realization of dreams from the past like the telephone, the car, the airplane, electrical light, or radio and television.\nAnd industrialization has enabled the production of enough goods for everyone, so that poverty has a much higher threshold today.\nNow we are in the middle of the information revolution, which tries to improve our lives through computers.\nWe are using electronic banking, social media, Computer Aided Design and Manufacturing, tomography diagnosis in medicine, smartphones, GPS, notebooks, computer games, and there are many more appearances of computers in everyday life.\nCurrently we are developing smart cities, digital twins, intelligent factories, autonomous cars and more.\nOur tools include Artificial Intelligence, Deep Learning, fast communication such as 5G, Cloud Computing, Augmented and Virtual Reality, and many others.\nDigital twins, that are digital representations of real world objects, they are the basis for the simulation and augmentation of scenarios, necessary to provide insight for better human decisions.\nIn this context, Visual Computing plays a central role, as it provides the key technologies to include the human into the decision making processes:\n- as the interface between computers and people, - as the most efficient channel to transfer data into users via images.\nVisual computing was also a main driver in developing parallel computing and the GPU. The full potential of visual computing has not yet been exploited in industrial applications, often because real world data are more difficult to handle that clean test data in science labs.\nSix V’s are the six challenges that we have to cope with in visual data processing:\nThe Volume of data is ever increasing. More and more sensors produce more and more data for more and more computers.\nThe Velocity with which such data is produced is steadily increasing.\nThe Variety of data that shall be utilized is becoming more complex. Not only numerical data, but also categorical data, functions, pictures and videos, complex relations shall be processed.\nThe Validity of available data has to be better checked the more data there are. Are some data wrong? Are data missing?\nThe Veracity of data is the next issue. Where do the data come from? Can we trust the data sources? Are some data manipulated or simply made up?\nAnd finally, the Value of our conclusions and results has to be analyzed. Not everything that can be calculated makes the world better.\nThe coping with these 6 V-challenges is essential for the practical utilization of big data.\nBut there is a seventh issue, the Confidentiality of the data. Companies are reluctant to give away their internal data without control who sees or uses them. And people want to maintain some privacy, they want their private data protected, according to data protection laws. Companies like Google or Amazon, but also governments in many countries, store a lot of data about individuals that contradict with such concerns. It must stay one of our most important goals to preserve enough data protection to avoid any misuse of private data. Big data is only a blessing if it is not misused.\nOur research institute VRVis, together with its Chinese partner VR-KB, works in the field of transferring scientific results from visual computing into valuable and innovative products in industry. International cooperation is a success factor in bringing these fields together.\nAnd international conferences such as this one provide the contacts for international cooperation and better understanding between the diverse disciplines profiting from the digitization process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "event": "Nanjing Tech Week",
        "location": "Nanjing, China",
        "research_areas": [],
        "keywords": [
            "visual computing",
            "digitization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/purgathofer-2020-nan/",
        "__class": "Publication"
    },
    {
        "id": "Pilizar_-2020-bachelor",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Artistic Metro Maps",
        "date": "2020-06-10",
        "abstract": "The creation of visually pleasing artistic metro maps usually requires a designer and a lot of effort, and while the automatic generation of regular metro maps has been done via several methods, none focus on the artistic aspect. To make the process easier for designers this thesis introduces a method that automatically creates maps that can either be used as they are, or used as baseline for the future design process. The goal of this thesis is to find a method and based on that create a prototype that generates metro maps in arbitrary shapes that simply requires the map and contour as input. Additional parameters are supposed to allow a user to make adjustments if so desired. The general approach is to first prepare the map as well as the contour for the following least squares calculations that reshape the map in a way to fit the contour and then create the look of a typical metro map. To test the algorithm and showcase its results it is applied to two different maps and seven different shapes. These results indicate that the introduced approach is capable of creating metro maps in arbitrary shapes, but need further adjustments by a designer to finalize the map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1019,
            "image_height": 870,
            "name": "Pilizar_-2020-bachelor-image.png",
            "type": "image/png",
            "size": 48994,
            "path": "Publication:Pilizar_-2020-bachelor",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1764
        ],
        "date_end": "2020-06",
        "date_start": "2019-06",
        "matrikelnr": "01525787",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1019,
                "image_height": 870,
                "name": "Pilizar_-2020-bachelor-image.png",
                "type": "image/png",
                "size": 48994,
                "path": "Publication:Pilizar_-2020-bachelor",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pilizar_-2020-bachelor-thesis.pdf",
                "type": "application/pdf",
                "size": 3508257,
                "path": "Publication:Pilizar_-2020-bachelor",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/Pilizar_-2020-bachelor-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Pilizar_-2020-bachelor/",
        "__class": "Publication"
    },
    {
        "id": "raidou_pingu2020",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58256",
        "title": "PINGU Principles of Interactive Navigation for Geospatial Understanding",
        "date": "2020-06",
        "abstract": "Monitoring conditions in the periglacial areas of Antarctica helps geographers and geologists to understand physical processes associated with mesoscale land systems. Analyzing these unique temporal datasets poses a significant challenge for domain experts, due to the complex and often incomplete data, for which corresponding exploratory tools are not available. In this paper, we present a novel visual analysis tool for extraction and interactive exploration of temporal measurements captured at the polar station at the James Ross Island in Antarctica. The tool allows domain experts to quickly extract information about the snow level, originating from a series of photos acquired by trail cameras. Using linked views, the domain experts can interactively explore and combine this information with other spatial and non-spatial measures, such as temperature or wind speed, to reveal the interplay of periglacial and aeolian processes. An abstracted interactive map of the area indicates the position of measurement spots to facilitate navigation. The design of the tool was made in tight collaboration with geographers, which resulted in an early prototype, tested in the pilot study. The following version of the tool and its usability has been evaluated in the user study with five domain experts and their feedback was incorporated into the final version, presented in this paper. This version was again discussed with two experts in an informal interview. Within these evaluations, they confirmed the significant benefit of the tool for their research tasks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1766,
            1767,
            1768,
            1769,
            1254,
            1410,
            1248
        ],
        "booktitle": "2020 IEEE Pacific Visualization Symposium (PacificVis)",
        "cfp": {
            "name": "PacificVis 2020 call.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "168569",
            "orig_name": "PacificVis 2020 call.pdf",
            "ext": "pdf"
        },
        "doi": "10.1109/PacificVis48177.2020.7567",
        "event": "IEEE Pacific Vis 2020",
        "lecturer": [
            1410
        ],
        "pages_from": "216",
        "pages_to": "225",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1899,
                "image_height": 943,
                "name": "raidou_pingu2020-image.bmp",
                "type": "image/bmp",
                "size": 5375154,
                "path": "Publication:raidou_pingu2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_pingu2020-paper.pdf",
                "type": "application/pdf",
                "size": 2925903,
                "path": "Publication:raidou_pingu2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/raidou_pingu2020-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/",
        "__class": "Publication"
    },
    {
        "id": "wu-2020-eurovis-star",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/140650",
        "title": "A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives",
        "date": "2020-05-25",
        "abstract": "Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time-consuming process, which requires iterative information selection, layout design, and usability validation, and thus maps cannot easily be customised or updated frequently. To improve this, scientists investigate fully- or semi-automatic techniques in order to produce high quality transit maps using computers and further examine their corresponding usability. Nonetheless, the quality gap between manually-drawn maps and machine-generated maps is still large. To elaborate the current research status, this state-of-the-art report provides an overview of the transit map generation process, primarily from Design, Machine, and Human perspectives. A systematic categorisation is introduced to describe the design pipeline, and an extensive analysis of perspectives is conducted to support the proposed taxonomy. We conclude this survey with a discussion on the current research status, open challenges, and future directions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2020-eurovis-star-image.png",
            "type": "image/png",
            "size": 20954,
            "path": "Publication:wu-2020-eurovis-star",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1675,
            1580,
            1765,
            1579
        ],
        "cfp": {
            "name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "468579",
            "orig_name": "Eurovis – STARS – Eurographics & Eurovis 2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-05-25",
        "date_to": "2020-05-29",
        "doi": "10.1111/cgf.14030",
        "event": "EuRoVis 2020",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1464
        ],
        "number": "3",
        "open_access": "yes",
        "pages": "28",
        "pages_from": "619",
        "pages_to": "646",
        "volume": "39",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Computer Graphics and Computer-Aided Design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2020-eurovis-star-image.png",
                "type": "image/png",
                "size": 20954,
                "path": "Publication:wu-2020-eurovis-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2020-eurovis-star-paper.pdf",
                "type": "application/pdf",
                "size": 13228908,
                "path": "Publication:wu-2020-eurovis-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/wu-2020-eurovis-star-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wu-2020-eurovis-star/",
        "__class": "Publication"
    },
    {
        "id": "Korpitsch-2020-wscg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58257",
        "title": "Simulated Annealing to Unfold 3D Meshes and Assign Glue Tabs",
        "date": "2020-05-19",
        "abstract": "3D mesh unfolding transforms a 3D mesh model into one or multiple 2D planar patches. The technique is widely used to fabricate papercrafts, where 3D objects can be reconstructed from printed paper or paper-like materials. The applicability, visual quality, and stability of such papercraft productions is still challenging since it requires a reasonable formulation of these factors. In this paper, we unfold a 3D mesh into a single connected 2D patch. We also introduce glue tabs as additional indicators in order to provide users with extra space to apply glue for better reconstruction quality. To improve space efficiency, we do not apply glue tabs on every edge, while still guaranteeing the stability of the constructed paper model. A minimum spanning tree (MST) describes possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding. Our approach allows us to unfold 3D triangular meshes into single 2D patches without shape distortions, and employing only a small number of glue tabs. A visual indicator scheme is also incorporated as a post-process to guide users during the model reconstruction process. Finally, we qualitatively evaluate the applicability of the presented approach in comparison to the conventional technique and the achieved results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "Korpitsch-2020-wscg-image.png",
            "type": "image/png",
            "size": 49162,
            "path": "Publication:Korpitsch-2020-wscg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1697,
            1580,
            166,
            1464
        ],
        "booktitle": "Proceedings of the 28th International Conference in Central Europe on Computer Graphics",
        "cfp": {
            "name": "wscg-cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1699728",
            "orig_name": "wscg-cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-05-19",
        "date_to": "2020-05-21",
        "event": "WSCG 2020",
        "lecturer": [
            1464
        ],
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "Korpitsch-2020-wscg-image.png",
                "type": "image/png",
                "size": 49162,
                "path": "Publication:Korpitsch-2020-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Korpitsch-2020-wscg-paper.pdf",
                "type": "application/pdf",
                "size": 19530461,
                "path": "Publication:Korpitsch-2020-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Korpitsch-2020-wscg-video.mp4",
                "type": "video/mp4",
                "size": 10733469,
                "path": "Publication:Korpitsch-2020-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/Korpitsch-2020-wscg-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Korpitsch-2020-wscg/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_V2_2020",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87182",
        "title": "Visual Analytics in Radiation Therapy Planning",
        "date": "2020-05-15",
        "abstract": "Visual analytics concerns analytical reasoning supported by interactive visual interfaces. Radiation therapy is a complex treatment approach that requires careful planning. Visual analytics and visual computing are supportive in the entire radiation therapy workflow. After a brief survey on the workflow, concrete examples about radiation therapy planning for pelvic organs will be treated in detail. One example discusses visual analytics for the exploration of radio-therapy-induced bladder toxicity in a cohort study. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. In another example the pelvic organ variability in a cohort of radiotherapy patients is visualized. The application addresses the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. Research challenges and directions are sketched at the end of the talk.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Mohn Medical Imaging and Visualization Centre (MMIV) Virtual Seminar",
        "location": "Bergen, Norway",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://mmiv.no/upcoming/mmiv-seminar-eduard-groeller/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V2_2020/",
        "__class": "Publication"
    },
    {
        "id": "Mautner 2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1119",
        "title": "Interactive 3D Storytelling for Planetary Exploration",
        "date": "2020-05-04",
        "abstract": "The Planetary Robotics 3D Viewer (PRo3D) is an interactive visualization tool thatallows for geological analyses of planetary surfaces. The primary goal is to supportgeologists at NASA and ESA in their mission to find signs of life on Mars by enablingthem to perform analyses on a high-resolution 3D surface model. While PRo3D facilitatesan exploratory workflow to gain new insights, there is a lack of support to communicatenew findings. In this thesis, we discuss the design and implementation of storytellingmechanisms into PRo3D that allow for an easy, fast, and interactive communicationof results. Moreover, we show how provenance information can be incorporated intostories, enabling geoscientists to present how they arrived at a certain discovery orinterpretation. Provenance includes the individual steps in the analysis process thatlead to a given finding, supporting its verification and reproducibility. We present abroad overview about storytelling and provenance in visualization, and discuss the designspace of a provenance-based storytelling approach in the context of geological analysesas conducted in PRo3D. Finally, we present a prototype as a proof of concept based onthese deliberations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 434,
            "image_height": 249,
            "name": "Mautner 2020-image.JPG",
            "type": "image/jpeg",
            "size": 30292,
            "path": "Publication:Mautner 2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1567
        ],
        "date_end": "2020-05-04",
        "date_start": "2019-09",
        "diploma_examina": "2020-06",
        "matrikelnr": "1127229",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 434,
                "image_height": 249,
                "name": "Mautner 2020-image.JPG",
                "type": "image/jpeg",
                "size": 30292,
                "path": "Publication:Mautner 2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mautner 2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 13991167,
                "path": "Publication:Mautner 2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mautner 2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4976703,
                "path": "Publication:Mautner 2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/Mautner 2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mautner 2020/",
        "__class": "Publication"
    },
    {
        "id": "Panayotov",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/15053",
        "title": " A Visual Exploration Tool forTemporal Analysis of CustomerReviews",
        "date": "2020-05-04",
        "abstract": "This thesis explores textual review data and how it changes over time.  The thesisis motivated by the constantly generated textual reviews. Review sites like Yelp andTripAdvisor are generating hundreds of thousands of reviews monthly. Analysing thisamount of data is impossible by simply reading every individual review. We look forways to answer questions that business analysts, business owners, and investors ask aboutcustomer review data. This thesis asks questions such as: Why do review scores andtopics change over time? What are the major topics people discuss? What are the typicalreasons why review scores suddenly increase or decrease? What are topics that invokepermanent or transient changes in a large collection of review scores?We created a tool called Review Watcher, which provides novel approaches to examineand analyse review changes over time. The tool aims to provide simple, easily accessibleinformation regarding temporal changes in a collection of restaurant reviews. The tooluses real data provided by Yelp. It employs graphical ways to indicate changes in reviewscores over different periods of time. The tool analyses the review scores over time, andit tries to explain changes in these scores based on the textual content of the reviews.The tool utilises automated text processing algorithms to highlight important and oftenused words in text corpora.We used a qualitative evaluation to determine how well the tool manages to answer theresearch questions. We completed a user study with experts in the field of economics.They shared the insights they gathered using Review Watcher and compared them totheir experiences working with other tools for customer satisfaction and review analysis.As a result of our research, we show that Review Watcher manages to provide betterinsight into what are major topics in a collection of textual reviews. In the thesis, we showthat Review Watcher is better suited to highlighting review changes occurring over timeand giving insights to why the changes occurred, compared to existing tools for reviewexploration. The tool is also proving capable of handling millions of textual reviews oftens of thousands of restaurants with acceptable loading times for the user. The userstudy also reveals some of the tool’s limitations and potential for future work, for examplein introducing improved categorisation functions and geographical information about restaurants.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 365,
            "image_height": 207,
            "name": "Panayotov-image.JPG",
            "type": "image/jpeg",
            "size": 14323,
            "path": "Publication:Panayotov",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1686
        ],
        "co_supervisor": [
            1110
        ],
        "date_end": "2020-05-04",
        "date_start": "2019-06",
        "diploma_examina": "2020-06",
        "doi": "10.34726/hss.2020.70281",
        "matrikelnr": "01643722",
        "open_access": "yes",
        "pages": "106",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Information Visualization",
            "Business Intelligence",
            "Social Network Analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 365,
                "image_height": 207,
                "name": "Panayotov-image.JPG",
                "type": "image/jpeg",
                "size": 14323,
                "path": "Publication:Panayotov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Panayotov-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 4730518,
                "path": "Publication:Panayotov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Panayotov-Poster.pdf",
                "type": "application/pdf",
                "size": 683771,
                "path": "Publication:Panayotov",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/Panayotov-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Panayotov/",
        "__class": "Publication"
    },
    {
        "id": "korpitsch-2020-cescg",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimising 3D Mesh Unfoldings with Additional Gluetabs using Simulated Annealing",
        "date": "2020-05-03",
        "abstract": "3D Mesh unfolding is a process of transforming a 3D mesh into one or several 2D planar patches. The technique is widely used to produce papercraft models, where 3D ob- jects can be reconstructed from printed paper or paper-like materials. Nonetheless, the reconstruction of such mod- els can be arduous. In this paper, we aim to unfold a 3D mesh into a single 2D patch and introduce Gluetabs as ad- ditional indicators and in order to give users extra space to apply glue for better reconstruction quality. To avoid unnecessary Gluetabs, we reduce their number, while still guaranteeing the stability of the constructed model. To achieve this, a minimum spanning tree (MST) is used to describe possible unfoldings, whereas simulated annealing optimisation is used to find an optimal unfolding without overlaps. We aim to unfold 3D triangular meshes into sin- gle 2D patches without applying shape distortions, while appropriately assigning a reasonable amount of Gluetabs. Moreover, we incorporate a visual indicator scheme as a post-process to guide users during the model reconstruc- tion process. Our quantitative evaluation suggests that the proposed approach produces fast results for meshes under 400 faces.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 382,
            "image_height": 268,
            "name": "korpitsch-2020-cescg-image.png",
            "type": "image/png",
            "size": 95348,
            "path": "Publication:korpitsch-2020-cescg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1697,
            1464
        ],
        "booktitle": "CESCG ",
        "number": "TR-193-02-2020-2",
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 382,
                "image_height": 268,
                "name": "korpitsch-2020-cescg-image.png",
                "type": "image/png",
                "size": 95348,
                "path": "Publication:korpitsch-2020-cescg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-image:thumb{{size}}.png"
            },
            {
                "description": "This paper has been selected for the Best Paper Award at CESCG 2020.",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch-2020-cescg-paper.pdf",
                "type": "application/pdf",
                "size": 13734147,
                "path": "Publication:korpitsch-2020-cescg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/korpitsch-2020-cescg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/korpitsch-2020-cescg/",
        "__class": "Publication"
    },
    {
        "id": "luksch_2020",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/58258",
        "title": "Real-Time Approximation of Photometric Polygonal Lights",
        "date": "2020-05-01",
        "abstract": "We present a real-time rendering technique for photometric polygonal lights. Our method uses a numerical integration technique based on a triangulation to calculate noise-free diffuse shading. We include a dynamic point in the triangulation that provides a continuous near-field illumination resembling the shape of the light emitter and its characteristics. We evaluate the accuracy of our approach with a diverse selection of photometric measurement data sets in a comprehensive benchmark framework. Furthermore, we provide an extension for specular reflection on surfaces with arbitrary roughness that facilitates the use of existing real-time shading techniques. Our technique is easy to integrate into real-time rendering systems and extends the range of possible applications with photometric area lights.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1621,
            "image_height": 343,
            "name": "luksch_2020-image.jpg",
            "type": "image/jpeg",
            "size": 71419,
            "path": "Publication:luksch_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659,
            1377,
            193
        ],
        "cfp": {
            "name": "I3D 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "128401",
            "orig_name": "I3D 2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-09-14",
        "date_to": "2020-09-18",
        "doi": "10.1145/3384537",
        "event": "ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games",
        "issn": "2577-6193",
        "journal": "Proceedings of the ACM on Computer Graphics and Interactive Techniques",
        "lecturer": [
            659
        ],
        "location": "online",
        "number": "1",
        "open_access": "yes",
        "pages_from": "4.1",
        "pages_to": "4.18",
        "volume": "3",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "area lights",
            "photometric lights",
            "real-time rendering"
        ],
        "weblinks": [
            {
                "href": "https://doi.org/10.1145/3384537",
                "caption": null,
                "description": null,
                "main_file": 0
            },
            {
                "href": "http://download.vrvis.at/acquisition/HILITE/60421ab2-455e-42e4-8f22-ecdb009e9829/I3D2020_PhotometricAreaLights_Final.mp4",
                "caption": "Video",
                "description": "Video",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1621,
                "image_height": 343,
                "name": "luksch_2020-image.jpg",
                "type": "image/jpeg",
                "size": 71419,
                "path": "Publication:luksch_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "luksch_2020-Paper.pdf",
                "type": "application/pdf",
                "size": 6754960,
                "path": "Publication:luksch_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/luksch_2020-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/luksch_2020/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2020-fmvr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58271",
        "title": "Fast Multi-View Rendering for Real-Time Applications",
        "date": "2020-05",
        "abstract": "Efficient rendering of multiple views can be a critical performance factor for real-time rendering applications. Generating more than one view multiplies the amount of rendered geometry, which can cause a huge performance impact. Minimizing that impact has been a target of previous research and GPU manufacturers, who have started to equip devices with dedicated acceleration units. However, vendor-specific acceleration is not the only option to increase multi-view rendering (MVR) performance. Available graphics API features, shader stages and optimizations can be exploited for improved MVR performance, while generally offering more versatile pipeline configurations, including the preservation of custom tessellation and geometry shaders. In this paper, we present an exhaustive evaluation of MVR pipelines available on modern GPUs. We provide a detailed analysis of previous\ntechniques, hardware-accelerated MVR and propose a novel method, leading to the creation of an MVR catalogue. Our analyses cover three distinct applications to help gain clarity on overall MVR performance characteristics. Our interpretation of the observed results provides a guideline for selecting the most appropriate one for various use cases on different GPU architectures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 917,
            "image_height": 687,
            "name": "unterguggenberger-2020-fmvr-image.png",
            "type": "image/png",
            "size": 62276,
            "path": "Publication:unterguggenberger-2020-fmvr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848,
            1650,
            1662,
            202,
            193
        ],
        "booktitle": "Eurographics Symposium on Parallel Graphics and Visualization",
        "cfp": {
            "name": "Call for Papers – EGPGV 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "348754",
            "orig_name": "Call for Papers – EGPGV 2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-05-25",
        "date_to": "2020-05-25",
        "doi": "10.2312/pgv.20201071",
        "editor": "Frey, Steffen and Huang, Jian and Sadlo, Filip",
        "event": "EGPGV 2020",
        "isbn": "978-3-03868-107-6",
        "lecturer": [
            848
        ],
        "location": "online",
        "open_access": "yes",
        "organization": "Eurographics",
        "pages_from": "13",
        "pages_to": "23",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-Time Rendering",
            "Rasterization",
            "Multi-View",
            "OVR_multiview",
            "Geometry Shader",
            "Evaluation"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/pgv20201071",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 917,
                "image_height": 687,
                "name": "unterguggenberger-2020-fmvr-image.png",
                "type": "image/png",
                "size": 62276,
                "path": "Publication:unterguggenberger-2020-fmvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-image:thumb{{size}}.png"
            },
            {
                "description": "Fast Multi-View Rendering for Real-Time Applications",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2020-fmvr-paper.pdf",
                "type": "application/pdf",
                "size": 300803,
                "path": "Publication:unterguggenberger-2020-fmvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-paper:thumb{{size}}.png"
            },
            {
                "description": "Slides used for the talk",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2020-fmvr-slides.pdf",
                "type": "application/pdf",
                "size": 4201932,
                "path": "Publication:unterguggenberger-2020-fmvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/unterguggenberger-2020-fmvr-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/unterguggenberger-2020-fmvr/",
        "__class": "Publication"
    },
    {
        "id": "Mirzaei_Mohammadreza_2020-EVR",
        "type_id": "journalpaper",
        "tu_id": 291029,
        "repositum_id": "20.500.12708/140902",
        "title": "EarVR: Using Ear Haptics in Virtual Reality for Deaf and Hard-of-Hearing People",
        "date": "2020-05",
        "abstract": "Virtual Reality (VR) has a great potential to improve skills of Deaf and Hard-of-Hearing (DHH) people. Most VR applications and devices are designed for persons without hearing problems. Therefore, DHH persons have many limitations when using VR. Adding special features in a VR environment, such as subtitles, or haptic devices will help them. Previously, it was necessary to design a special VR environment for DHH persons. We introduce and evaluate a new prototype called \"EarVR\" that can be mounted on any desktop or mobile VR Head-Mounted Display (HMD). EarVR analyzes 3D sounds in a VR environment and locates the direction of the sound source that is closest to a user. It notifies the user about the sound direction using two vibro-motors placed on the user's ears. EarVR helps DHH persons to complete sound-based VR tasks in any VR application with 3D audio and a mute option for background music. Therefore, DHH persons can use all VR applications with 3D audio, not only those applications designed for them. Our user study shows that DHH participants were able to complete a simple VR task significantly faster with EarVR than without. The completion time of DHH participants was very close to participants without hearing problems. Also, it shows that DHH participants were able to finish a complex VR task with EarVR, while without it, they could not finish the task even once. Finally, our qualitative and quantitative evaluation among DHH participants indicates that they preferred to use EarVR and it encouraged them to use VR technology more.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "EarVR",
            "filetitle": "EarVR",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1110,
            "image_height": 602,
            "name": "Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg",
            "type": "image/jpeg",
            "size": 499544,
            "path": "Publication:Mirzaei_Mohammadreza_2020-EVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1803,
            1720,
            378
        ],
        "cfp": {
            "name": "cfp2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "516819",
            "orig_name": "cfp2020.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-03-22",
        "date_to": "2020-03-26",
        "doi": "10.1109/TVCG.2020.2973441",
        "event": "IEEE  VR 2021",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            378
        ],
        "number": "05",
        "open_access": "no",
        "pages_from": "2084",
        "pages_to": "2093",
        "volume": "26",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Handicapped Aids",
            "Haptic Interfaces",
            "Helmet Mounted Displays",
            "Virtual Reality",
            "3 D Sounds",
            "3 D Audio",
            "Deaf And Hard Of Hearing People",
            "Head Mounted Display",
            "VR Application",
            "Ear VR",
            "VR Technology",
            "Haptic Devices",
            "DHH Persons",
            "Hearing Problems",
            "VR Apps."
        ],
        "weblinks": [
            {
                "href": "https://www.computer.org/csdl/journal/tg/2020/05/08998298/1hrXce2Kmhq",
                "caption": "TVCG",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "EarVR",
                "filetitle": "EarVR",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1110,
                "image_height": 602,
                "name": "Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg",
                "type": "image/jpeg",
                "size": 499544,
                "path": "Publication:Mirzaei_Mohammadreza_2020-EVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/Mirzaei_Mohammadreza_2020-EVR-EarVR:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Mirzaei_Mohammadreza_2020-EVR/",
        "__class": "Publication"
    },
    {
        "id": "raidou_visgap2020",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58269",
        "title": "Lessons Learnt from Developing Visual Analytics Applications for Adaptive Prostate Cancer Radiotherapy",
        "date": "2020-05",
        "abstract": "In radiotherapy (RT), changes in patient anatomy throughout the treatment period might lead to deviations between planned\nand delivered dose, resulting in inadequate tumor coverage and/or overradiation of healthy tissues. Adapting the treatment to\naccount for anatomical changes is anticipated to enable higher precision and less toxicity to healthy tissues. Corresponding\ntools for the in-depth exploration and analysis of available clinical cohort data were not available before our work. In this\npaper, we discuss our on-going process of introducing visual analytics to the domain of adaptive RT for prostate cancer. This\nhas been done through the design of three visual analytics applications, built for clinical researchers working on the deployment\nof robust RT treatment strategies. We focus on describing our iterative design process, and we discuss the lessons learnt from\nour fruitful collaboration with clinical domain experts and industry, interested in integrating our prototypes into their workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1733,
            1366,
            1444,
            1568,
            1569,
            166,
            1445
        ],
        "booktitle": "The Gap between Visualization Research and Visualization Software (VisGap) (2020)",
        "cfp": {
            "name": "VisGap Workshop 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "183556",
            "orig_name": "VisGap Workshop 2020.pdf",
            "ext": "pdf"
        },
        "event": "EGEV2020 - VisGap Workshop",
        "lecturer": [
            1410
        ],
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "Visual Analytics",
            "Life and Medical Sciences"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1837,
                "preview_image_height": 998,
                "name": "raidou_visgap2020-paper.pdf",
                "type": "application/pdf",
                "size": 2068564,
                "path": "Publication:raidou_visgap2020",
                "preview_name": "raidou_visgap2020-paper:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 87558,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/raidou_visgap2020-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/raidou_visgap2020-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_visgap2020/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-2020-PPC",
        "type_id": "journalpaper",
        "tu_id": 291874,
        "repositum_id": "20.500.12708/58262",
        "title": "Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures",
        "date": "2020-05",
        "abstract": "Research in rendering large point clouds traditionally focused on the generation and use of hierarchical acceleration structures that allow systems to load and render the smallest fraction of the data with the largest impact on the output. The generation of these structures is slow and time consuming, however, and therefore ill-suited for tasks such as quickly looking at scan data stored in widely used unstructured file formats, or to immediately display the results of point-cloud processing tasks.\n\n   \nWe propose a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate hierarchical acceleration structures in advance. Our method supports data sets with a large amount of attributes per point, achieves a load performance of up to 100 million points per second, displays already loaded data in real time while remaining data is still being loaded, and is capable of rendering up to one billion points using an on-the-fly generated shuffled vertex buffer as its data structure, instead of slow-to-generate hierarchical structures. Shuffling is done during loading in order to allow efficiently filling holes with random subsets, which leads to a higher quality convergence behavior. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4061,
            "image_height": 1183,
            "name": "schuetz-2020-PPC-.jpg",
            "type": "image/jpeg",
            "size": 376597,
            "path": "Publication:schuetz-2020-PPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1700,
            1701,
            193
        ],
        "booktitle": "EUROGRAPHICS",
        "cfp": {
            "name": "EG_2020_call_for_papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "268041",
            "orig_name": "EG_2020_call_for_papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-05-25",
        "date_to": "2020-05-29",
        "doi": "10.1111/cgf.13911",
        "event": "EUROGRAPHICS 2020",
        "first_published": "2020-07-13",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1116
        ],
        "location": "Norköpping, Sweden",
        "number": "2",
        "pages": "14",
        "pages_from": "51",
        "pages_to": "64",
        "publisher": "John Wiley & Sons Ltd.",
        "volume": "39",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point-based rendering"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/skye",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=6_ivIcynok8",
                "caption": "Video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4061,
                "image_height": 1183,
                "name": "schuetz-2020-PPC-.jpg",
                "type": "image/jpeg",
                "size": 376597,
                "path": "Publication:schuetz-2020-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-2020-PPC-paper.pdf",
                "type": "application/pdf",
                "size": 27594913,
                "path": "Publication:schuetz-2020-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/schuetz-2020-PPC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schuetz-2020-PPC/",
        "__class": "Publication"
    },
    {
        "id": "tatzgern-2020-sst",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": "20.500.12708/58270",
        "title": "Stochastic Substitute Trees for Real-Time Global Illumination",
        "date": "2020-05",
        "abstract": "With the introduction of hardware-supported ray tracing and deep learning for denoising, computer graphics has made a considerable step toward real-time global illumination. In this work, we present an alternative global illumination method: The stochastic substitute tree (SST), a hierarchical structure inspired by lightcuts with light probability distributions as inner nodes. Our approach distributes virtual point lights (VPLs) in every frame and efficiently constructs the SST over those lights by clustering according to Morton codes. Global illumination is approximated by sampling the SST and considers the BRDF at the hit location as well as the SST nodes’ intensities for importance sampling directly from inner nodes of the tree. To remove the introduced Monte Carlo noise, we use a recurrent autoencoder. In combination with temporal filtering, we deliver real-time global illumination for complex scenes with challenging light distributions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 449,
            "preview_image_height": 270,
            "name": "tatzgern-2020-sst-.png",
            "type": "image/png",
            "size": null,
            "path": "Publication:tatzgern-2020-sst",
            "preview_name": "tatzgern-2020-sst-:preview.png",
            "preview_type": "image/png",
            "preview_size": 152699,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1762,
            1763,
            1650,
            1662
        ],
        "booktitle": "Symposium on Interactive 3D Graphics and Games",
        "cfp": {
            "name": "I3D 2020.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1135142",
            "orig_name": "I3D 2020.pdf",
            "ext": "pdf"
        },
        "event": "I3D ’20",
        "first_published": "2020-05",
        "lecturer": [
            1650
        ],
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://dl.acm.org/doi/10.1145/3384382.3384521",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 449,
                "preview_image_height": 270,
                "name": "tatzgern-2020-sst-.png",
                "type": "image/png",
                "size": null,
                "path": "Publication:tatzgern-2020-sst",
                "preview_name": "tatzgern-2020-sst-:preview.png",
                "preview_type": "image/png",
                "preview_size": 152699,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/tatzgern-2020-sst-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/tatzgern-2020-sst/",
        "__class": "Publication"
    },
    {
        "id": "Kovacs_2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "VR Bridges: An Approach to Simulating Uneven Surfaces in VR",
        "date": "2020-04-30",
        "abstract": "Virtual reality (VR) promises boundless potential for experiences. Yet, due to technical restrictions, current VR experiences are often limited in many ways and incomparable to their real-world counterparts. Walkable smooth uneven surfaces are inherent to reality but lacking in VR. At the same time, VR enables the alteration and manipulation of perception, o˙ering tools for reshaping the experience. In this thesis, we explore the possibility of simulating walkable smooth uneven surfaces in VR via a multi-sensory stimulation approach. We examine human height and slant perception and incorporate our findings into a multi-modal approach by combining visual manipulations, haptic and vibrotactile stimuli.\nOur approach is realized by constructing physical bridge props and creating a complex software application to introduce multi-sensory stimuli to the user. The simulation is evaluated in two user studies, each focusing on one of two di˙erently shaped physical bridge props. In the studies, we evaluate the feasibility of a flat and an upward curved prop for the simulation of di˙erent virtual surface heights. The data collected during the studies is subjected to a qualitative and quantitative analysis.\nOur results suggest that the use of a curved prop enables the convincing simulation of significantly higher uneven surfaces than the actual height of the prop. The haptic feedback of the curved surface and the proprioceptive cues of actual vertical traversal facilitate user provided height and slant estimations to be closer to the values suggested by the visual cues. The use of a flat prop is less realistic and leads to height and slant underestimations, despite the simulated visual height and slant cues. However, a flat surface might be still used to simulate indentations and protrusions with smaller height di˙erences.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 348,
            "image_height": 181,
            "name": "Kovacs_2020-Image.JPG",
            "type": "image/jpeg",
            "size": 22461,
            "path": "Publication:Kovacs_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1487
        ],
        "co_supervisor": [
            1712
        ],
        "date_end": "2020-04-30",
        "date_start": "2019-10-20",
        "diploma_examina": "2020-04-30",
        "matrikelnr": "01227520",
        "open_access": "yes",
        "supervisor": [
            378
        ],
        "research_areas": [
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 348,
                "image_height": 181,
                "name": "Kovacs_2020-Image.JPG",
                "type": "image/jpeg",
                "size": 22461,
                "path": "Publication:Kovacs_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Kovacs_2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 7768413,
                "path": "Publication:Kovacs_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/Kovacs_2020-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Kovacs_2020/",
        "__class": "Publication"
    },
    {
        "id": "Unger2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1114",
        "title": "Interactive Visual Exploration ofLarge Bipartite Graphs usingFirework Plots",
        "date": "2020-04-30",
        "abstract": "In this thesis, we introduce a web-based interactive exploration interface for a broadaudience to investigate large, weighted, bipartite graphs. The motivation of this workis based on theMedia Transparency Databasewhich arises from an Austrian law thatcompels legal entities to announce their advertisement spendings to media organizationsand meets the specified characteristics.Most current interactive exploration tools use complex visualizations because they weredeveloped for domain experts. As the Media Transparency Database is of potentialinterest to a broad audience, we provide a framework not just for domain experts butalso for inexperienced users.Therefore, we conducted systematic benchmarks to compare state-of-the-art web-basedrendering techniques. Furthermore, we compared the performance of different librariesto determine the most efficient rendering solution and current limitations of web-basedrendering.We introduce the concept of Firework Plots, which aims to provide a common visualizationthat scales well with the size of the data. Our visualization concept is based on intuitivenode-link visualization in combination with multiple visualization and interaction concepts.Hierarchical aggregation is used to improve scalability. Constrained, layered, force-basedgraph layouts, as well as firework animations and seamless zoom, are used to allowinexperienced users to drill down the graph hierarchy and track nodes through thehierarchy.  Moreover, visibility management is used to reduce clutter and improveperformance.Based on the insights of our web-based graph rendering analysis, we implementedour framework and the concept of Firework Plots.  We show the usefulness of theimplementation by discussing different use cases and comparing it to related work.Moreover, we conducted multiple benchmarks to show the rendering performance and calculation times.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 430,
            "image_height": 275,
            "name": "Unger2020-image.JPG",
            "type": "image/jpeg",
            "size": 44075,
            "path": "Publication:Unger2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1530
        ],
        "date_end": "2020-04-30",
        "date_start": "2019-04-01",
        "diploma_examina": "2020-05",
        "doi": "10.34726/hss.2020.66221",
        "matrikelnr": "01325652",
        "open_access": "yes",
        "pages": "104",
        "supervisor": [
            166,
            1110
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Node-Link Diagram",
            "Bipartite Projection"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/kunger/da-bipartite-node-link/?data=MTD-20123-20194_filtered_o31t",
                "caption": "Firework Plots Online",
                "description": "Firework plots showing the Media Transparency Database data 2012 to 2019 (without §31).  ",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 430,
                "image_height": 275,
                "name": "Unger2020-image.JPG",
                "type": "image/jpeg",
                "size": 44075,
                "path": "Publication:Unger2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Unger2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 18029327,
                "path": "Publication:Unger2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Unger2020-Poster.pdf",
                "type": "application/pdf",
                "size": 1727745,
                "path": "Publication:Unger2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Unger2020-video.mp4",
                "type": "video/mp4",
                "size": 30258086,
                "path": "Publication:Unger2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/Unger2020-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Unger2020/",
        "__class": "Publication"
    },
    {
        "id": "schindler2020",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Anatomical Entertainer: Physical Visualization in a Medical Context",
        "date": "2020-04-24",
        "abstract": "Visualizations are essential for anatomical education of the general public. Traditional\nvisualization methods focus on 2D and 3D information representations, either digital\nor printed, but visualizations also have a physical form. Physical visualization is a\nsubdomain of the traditional visualization domain, where the data is represented by\nmeans of a physical object. Physical visualizations have been reported to lead to greater information insights for the interacting user, but a lot of the fabrication methods to create physical visualizations of the anatomy are not accessible for the general public. In\nthis thesis, we present a workflow to ease the process of creating physical visualizations, made out of paper. The proposed workflow can be used to create two different types of anatomical visualizations. First, we generate 2D visualizations, examinable with color\nfilters that enhance the interactivity of the visualization. To encode multiple channels of information from the anatomical structures, a specific method of color blending is used, which enables the users to access the different anatomical structures selectively, without occlusion. That way the users explore the single layers of the printed visualizations using color filters. Second, 3D papercrafts are generated, which are also examinable with color filters. The anatomical model is unfolded on the paper sheet, can be printed and the user can assemble it and examine it under the color lenses, similarly to the 2D case. The papercrafts may be used as an educational toy in school teaching or for entertainment, since they are very easy to produce and to distribute. We present several 2D and 3D examples of the workflow of the Anatomical Entertainer on models for anatomical education.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1084,
            "image_height": 324,
            "name": "schindler2020-image.PNG",
            "type": "image/png",
            "size": 602230,
            "path": "Publication:schindler2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1760
        ],
        "date_end": "2020-04-24",
        "date_start": "2019-09-01",
        "matrikelnr": "01627754",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1084,
                "preview_image_height": 324,
                "name": "schindler2020-Bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 10893906,
                "path": "Publication:schindler2020",
                "preview_name": "schindler2020-Bachelor thesis:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 602230,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-Bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-Bachelor thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1084,
                "image_height": 324,
                "name": "schindler2020-image.PNG",
                "type": "image/png",
                "size": 602230,
                "path": "Publication:schindler2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/schindler2020-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/",
        "__class": "Publication"
    },
    {
        "id": "Spelitz2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1120",
        "title": "BrainGait: Gait Event Detection and Visualization for Robotic Rehabilitation",
        "date": "2020-04-21",
        "abstract": "Mobility impairment in adults is one of most prevalent types of disabilities in developed countries. Gait rehabilitation can be used to regain some or all motor functions, especially after a stroke. In recent years, robot-assisted gait training attracted increasing interest in rehabilitation facilities and scientific research. With this advent of robotic recovery comes the need to objectively measure the patient’s performance. Physiotherapists need essential information about the current status during training and how to improve the patient’s gait, presented in an easy to grasp and compact form. On the other hand, physicians rely on statistical measures in order to evaluate the patient’s progress throughout the therapy. This thesis discusses commonly used visualizations and statistics while proposing improvements and adaptations in the context of PerPedes, a novel robotic gait rehabilitation device. In order to measure the patient’s performance, a new algorithm for gait event detection was developed, based on force data from pressure plates. The following work demonstrates that standard algorithms fail with PerPedes, while the proposed solution can robustly handle highly distorted gait patterns, such as hemiplegic gait, foot drop, or walking backwards. The software application developed during this thesis provides feedback to the therapist and generates suggestions for gait improvement. Furthermore, gait statistics are inferred from each therapy session and collected in order to be used for future analysis and inter-patient comparison.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1713,
            "image_height": 1025,
            "name": "Spelitz2020-image.jpg",
            "type": "image/jpeg",
            "size": 430173,
            "path": "Publication:Spelitz2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1015
        ],
        "date_end": "2020-04-21",
        "date_start": "2019-03",
        "diploma_examina": "2020-05",
        "doi": "10.34726/hss.2020.57203",
        "matrikelnr": "0925601",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Mobility rehabilitation",
            "Electroencephalography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1713,
                "image_height": 1025,
                "name": "Spelitz2020-image.jpg",
                "type": "image/jpeg",
                "size": 430173,
                "path": "Publication:Spelitz2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Spelitz2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 18131909,
                "path": "Publication:Spelitz2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "Spelitz2020-Poster.pdf",
                "type": "application/pdf",
                "size": 2797037,
                "path": "Publication:Spelitz2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/Spelitz2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Spelitz2020/",
        "__class": "Publication"
    },
    {
        "id": "reina-2020-mtv",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141135",
        "title": "The moving target of visualization software for an increasingly complex world",
        "date": "2020-04",
        "abstract": "Visualization has evolved into a mature scientific field and it has also become widely accepted as a standard approach in diverse fields, including physics, life sciences, and business intelligence. However, despite its successful development, there are still many open research questions that require customized implementations in order to explore and establish concepts, and to perform experiments and take measurements. Many methods and tools have been developed and published but most are stand-alone prototypes and have not reached a mature state that can be used in a reliable manner by collaborating domain scientists or a wider audience. In this study, we discuss the challenges, solutions, and open research questions that affect the development of sophisticated, relevant, and novel scientific visualization solutions with minimum overheads. We summarize and discuss the results of a recent National Institute of Informatics Shonan seminar on these topics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 301,
            "image_height": 121,
            "name": "reina-2020-mtv-teaser.jpg",
            "type": "image/jpeg",
            "size": 15741,
            "path": "Publication:reina-2020-mtv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1750,
            1751,
            235,
            231,
            1110,
            1752,
            1248,
            951,
            1753,
            1754,
            166,
            1249
        ],
        "doi": "https://doi.org/10.1016/j.cag.2020.01.005",
        "journal": "Computers & Graphics",
        "pages_from": "12",
        "pages_to": "29",
        "volume": "87",
        "research_areas": [],
        "keywords": [
            "Software engineering",
            "Visualization",
            "Visualization community",
            "Visualization research",
            "Visualization software"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S0097849320300078",
                "caption": "paper",
                "description": "Online paper on ScienceDirect",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 301,
                "image_height": 121,
                "name": "reina-2020-mtv-teaser.jpg",
                "type": "image/jpeg",
                "size": 15741,
                "path": "Publication:reina-2020-mtv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/reina-2020-mtv-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reina-2020-mtv/",
        "__class": "Publication"
    },
    {
        "id": "Schoenauer_2020_POI",
        "type_id": "inproceedings",
        "tu_id": 292700,
        "repositum_id": "20.500.12708/58314",
        "title": "Physical object interaction in first responder mixed reality training",
        "date": "2020-04",
        "abstract": "Virtual Reality (VR) systems can improve the training of first responders for crisis preparedness in a number of ways. Realistic simulation of physical objects, however, is challenging. The huge variety of equipment pieces and other objects specialists in first responder units - and in particular CBRN-troops - interact with further increases the effort. In this paper, we present a novel and flexible Mixed Reality (MR) training system for first responders that enables the integration of physical objects by using Augmented Virtuality (AV) and \"binary tracking\". A Head Mounted Display (HMD) immerses the user in VR, while augmenting the visualization with 3D imagery of real objects, captured by an RGB-D sensor. In addition, a RFID-reader at the user's hand detects the presence or absence (binary response) of certain equipment items. Our proposed MR system fuses this information with data of an inertial motion capture suit to an approximate global object pose and distributes it. Our solution provides a wide range of options for physical object interaction and collaboration in a multi-user MR environment. In addition, we demonstrate the training capabilities of our proposed system with a multi-user training scenario, simulating a CBRN crisis. Results of our technical and quantitative user evaluation with 13 experts in CBRN response from the Austrian Armed Forces (National Defense Academy & Competence Center NBC Defense) indicate strong applicability and user acceptance. Over 80% of the participants found it easy or very easy to interact with physical objects and liked the multi-user training much or very much.",
        "authors_et_al": true,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1731,
            1174,
            1726,
            1727,
            378
        ],
        "booktitle": "Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations",
        "cfp": {
            "name": "CFP.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "460766",
            "orig_name": "CFP.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-04-26",
        "date_to": "2020-04-30",
        "doi": "http://dx.doi.org/10.1117/12.255739",
        "event": "SPIE Defense + Commercial Sensing",
        "lecturer": [
            1731
        ],
        "pages_from": "61",
        "pages_to": "73",
        "publisher": "SPIE",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Virtual Reality, Mixed Reality, Augmented Virtuality, Training, CBRN, Interaction, 3D Object Interaction, Physical Object Interaction "
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schoenauer_2020_POI/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2020-tbg",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141146",
        "title": "Interactive exploration of large time-dependent bipartite graphs",
        "date": "2020-04",
        "abstract": "Bipartite graphs are typically visualized using linked lists or matrices, but these visualizations neither scale well nor do they convey temporal development. We present a new interactive exploration interface for large, time-dependent bipartite graphs. We use two clustering techniques to build a hierarchical aggregation supporting different exploration strategies. Aggregated nodes and edges are visualized as linked lists with nested time series. We demonstrate two use cases: finding advertising expenses of public authorities following similar temporal patterns and comparing author-keyword co-occurrences across time. Through a user study, we show that linked lists with hierarchical aggregation lead to more insights than without.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Dynamic BicFlows with nested time series visualization per cluster per set.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1121,
            "image_height": 936,
            "name": "waldner-2020-tbg-teaser.png",
            "type": "image/png",
            "size": 250456,
            "path": "Publication:waldner-2020-tbg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1378,
            166
        ],
        "doi": "https://doi.org/10.1016/j.cola.2020.100959",
        "journal": "Journal of Computer Languages",
        "volume": "57",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "Information visualization",
            "Bipartite graphs",
            "Clustering",
            "Time series data",
            "Insight-based evaluation"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S2590118420300198",
                "caption": "paper",
                "description": "Open Access article at ScienceDirect",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Dynamic BicFlows with nested time series visualization per cluster per set.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1121,
                "image_height": 936,
                "name": "waldner-2020-tbg-teaser.png",
                "type": "image/png",
                "size": 250456,
                "path": "Publication:waldner-2020-tbg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/waldner-2020-tbg-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/waldner-2020-tbg/",
        "__class": "Publication"
    },
    {
        "id": "gundacker-2020-wlm",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Wilangyman - Eine Google-Chrome Erweiterung die Wikipedia-Artikel um fremdsprachliche Inhalte ergänzt",
        "date": "2020-04",
        "abstract": "Wikipedia-Artikel unterscheiden sich in den unterschiedlichen Sprachversionen oft in\nStruktur und Inhalt. Manche Informationen sind nicht in allen Sprachen verfügbar.\nDas hat zur Folge, dass NutzerInnen wichtige Daten aus der Online Enzyklopädie\nentgehen, wenn sie sich auf eine Sprache beschränken. Ziel von Wilangyman ist es, diese\nInformationen zusammenzuführen und sie in übersichtlicher Art dem Nutzer oder der\nNutzerin zu präsentieren. Die Artikel werden mittels Natural Language Processing (NLP)\nverglichen und und anhand ihrer Ähnlichkeiten miteinander verknüpft. Korrespondierende\nPassagen mit zusätzlichem Informationsgehalt werden absatzweise dargestellt. Inhaltliche\nRedundanzen sollen dabei vermieden werden.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 814,
            "image_height": 377,
            "name": "gundacker-2020-wlm-screenshot.png",
            "type": "image/png",
            "size": 132524,
            "path": "Publication:gundacker-2020-wlm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1649
        ],
        "date_end": "2020-04",
        "date_start": "2019-04",
        "matrikelnr": "08908802",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 814,
                "image_height": 377,
                "name": "gundacker-2020-wlm-screenshot.png",
                "type": "image/png",
                "size": 132524,
                "path": "Publication:gundacker-2020-wlm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-screenshot:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "gundacker-2020-wlm-thesis.pdf",
                "type": "application/pdf",
                "size": 1436642,
                "path": "Publication:gundacker-2020-wlm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/gundacker-2020-wlm-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/gundacker-2020-wlm/",
        "__class": "Publication"
    },
    {
        "id": "hanko-2019-ani",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Higher Hand-Drawn Detail Quality using Convolutional Assistant",
        "date": "2020-04",
        "abstract": "The field of research in the use of neural networks to help artists or advance 2D animation\nis very underdeveloped. Most of the little research that is done does not even ask questions\nthat are relevant for animators but is done in a pure research mindset. We, however,\ntried to find a problem that would actually be relevant in the animation industry and\ncame up with the idea of enhancing the feature quality of poorly drawn features in 2D\nanimation. The basis for this idea is that, as a cost and time-saving measure, in 2d\nanimation features are often drawn in different levels of detail depending on the current\nfocus of the scene and other factors. The focus will thereby lie on the enhancement of\ncharacters’ eyes with the idea that other features could be done in a similar way in future\nwork. To achieve this quality enhancing we train the FUNIT network on a\nmanually created dataset consisting of crops of eyes from different characters in different\nquality with the goal that it will be able to consistently transform low-quality eye images\ninto high-quality eye images",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 217,
            "image_height": 145,
            "name": "hanko-2019-ani-teaser.jpg",
            "type": "image/jpeg",
            "size": 45990,
            "path": "Publication:hanko-2019-ani",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1744
        ],
        "date_end": "2020-04",
        "date_start": "2019-10",
        "matrikelnr": "01625726",
        "supervisor": [
            1639,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 217,
                "image_height": 145,
                "name": "hanko-2019-ani-teaser.jpg",
                "type": "image/jpeg",
                "size": 45990,
                "path": "Publication:hanko-2019-ani",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/hanko-2019-ani-teaser:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/hanko-2019-ani/",
        "__class": "Publication"
    },
    {
        "id": "brugger-2020-tsdpbr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Test Scene Design for Physically Based Rendering",
        "date": "2020-04",
        "abstract": "Physically based rendering is a discipline in computer graphics which aims at reproducing certain light and material appearances that occur in the real world.\nComplex scenes can be diﬃcult to compute for rendering algorithms.\nThe goal of this thesis is to create a comprehensive test database of scenes that treat diﬀerent light setups in conjunction with diverse materials.\nA lot of research is focused on the development of new algorithms that can deal with diﬃcult light conditions and materials eﬃciently.\nThis database should deliver a comprehensive foundation for evaluating existing and newly developed rendering techniques.\nA ﬁnal evaluation will compare diﬀerent results of diﬀerent rendering algorithms for all scenes. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1780
        ],
        "date_end": "2020-04",
        "date_start": "2019-10",
        "matrikelnr": "01527088",
        "supervisor": [
            193,
            1128
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Physically Based Rendering",
            "Database",
            "Verification",
            "Tests"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brugger-2020-tsdpbr-thesis.pdf",
                "type": "application/pdf",
                "size": 55508619,
                "path": "Publication:brugger-2020-tsdpbr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/brugger-2020-tsdpbr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/brugger-2020-tsdpbr/",
        "__class": "Publication"
    },
    {
        "id": "leimer_2020-cag",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141145",
        "title": "Pose to Seat: Automated design of body-supporting surfaces",
        "date": "2020-04",
        "abstract": "The design of functional seating furniture is a complicated process which often requires extensive manual design effort and empirical evaluation. We propose a computational design framework for pose-driven automated generation of body-supports which are optimized for comfort of sitting. Given a human body in a specified pose as input, our method computes an approximate pressure distribution that also takes frictional forces and body torques into consideration which serves as an objective measure of comfort. Utilizing this information to find out where the body needs to be supported in order to maintain comfort of sitting, our algorithm can create a supporting mesh suited for a person in that specific pose. This is done in an automated fitting process, using a template model capable of supporting a large variety of sitting poses. The results can be used directly or can be considered as a starting point for further interactive design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 627,
            "image_height": 636,
            "name": "leimer_2020-cag-image.png",
            "type": "image/png",
            "size": 270901,
            "path": "Publication:leimer_2020-cag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019,
            1422,
            948,
            844
        ],
        "date_from": "2020-01-01",
        "date_to": "2020-01-01",
        "event": "Conference",
        "journal": "Computer Aided Geometric Design",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "1",
        "volume": "79",
        "research_areas": [
            "Fabrication",
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "pose estimation",
            "furniture",
            "computational design"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/pdf/2003.10435.pdf",
                "caption": "paper",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 627,
                "image_height": 636,
                "name": "leimer_2020-cag-image.png",
                "type": "image/png",
                "size": 270901,
                "path": "Publication:leimer_2020-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "leimer_2020-cag-Paper.pdf",
                "type": "application/pdf",
                "size": 3539714,
                "path": "Publication:leimer_2020-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/leimer_2020-cag-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Superhumans",
            "MAKE-IT-FAB",
            "geo-materials"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/leimer_2020-cag/",
        "__class": "Publication"
    },
    {
        "id": "Schrempf_2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": " Fantastic Voyage: An AugmentedReality Approach to AnatomicalEducation for the General Public",
        "date": "2020-03-05",
        "abstract": "The purpose of this master thesis is the development of a mobile, anatomical educationapplication for the general public, which shifts the passive, unthoughtful mobile deviceusage to a more active, teaching usage by utilizing macroscopic and regional anatomy. The new, immersive learning experience with interactive, Three Dimensional (3D), Aug-mented Reality (AR) anatomy models synchronizes the models in realtime with the user’sface. Individuals of the general public can digitally dissect their own facial anatomy tolearn geometrical, spatial, and textual anatomy features.Immanent features of the created learning process are self-directed anatomy learning,less cognitive load, a motivation-, attention-, concentration increase, longer preserved sat-isfaction, new anatomical knowledge, and better spatial abilities compared to traditionallearning. The high complexity of the human anatomy restricts the synchronized anatomymodels to the head. Notwithstanding, all human anatomy models can be viewed as TwoDimensional (2D) or AR 3D renderings, whereby only the head anatomy is synchronizedwith the user’s head. The answered research questions are “How can interactive AR be used in anatomicaleducation for the general public?” and “How much and what anatomy can be learned inwhich time with the developed application compared to state of the art works?”. HeadPose Estimation (HPE) links AR managed by the framework ARCore with 3D anatomymodels from Body Parts 3D (BP3D)  and anatomy information from FoundationalModel of Anatomy (FMA) to educate the general public in anatomy. Recommended requirements from professional literature are fulfilled by the developed mobile application named ARnatomy, which is a jointed, anatomical, interactive learning experience. The development result has been evaluated in an informal study with eight participants, whichshowed that mobile AR can be used for the anatomical education of the general public.Seven of eight participants gained anatomical knowledge in a geometrical, spatial, and textual form.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 224,
            "image_height": 302,
            "name": "Schrempf_2020-image.PNG",
            "type": "image/png",
            "size": 164985,
            "path": "Publication:Schrempf_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1552
        ],
        "date_end": "2020-03-05",
        "date_start": "2019-06-05",
        "diploma_examina": "2020-03-25",
        "matrikelnr": "00920136",
        "open_access": "yes",
        "supervisor": [
            166,
            1410
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 224,
                "image_height": 302,
                "name": "Schrempf_2020-image.PNG",
                "type": "image/png",
                "size": 164985,
                "path": "Publication:Schrempf_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Schrempf_2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 8899312,
                "path": "Publication:Schrempf_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Schrempf_2020-Poster.pdf",
                "type": "application/pdf",
                "size": 4760141,
                "path": "Publication:Schrempf_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/Schrempf_2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Schrempf_2020/",
        "__class": "Publication"
    },
    {
        "id": "reimer-2020-CBG",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Influence of Full-Body Representation on Translation and CurvatureGain",
        "date": "2020-03",
        "abstract": "Redirected Walking (RDW) techniques allow users to navigate immersive virtual environments much larger than the available tracking space by natural walking. Whereas several approaches exist, numerous RDW techniques operate by applying gains of different types to the user’s viewport. These gains must remain undetected by the user in order for a RDW technique to support plausible navigation within a virtual environment. The present paper explores the relationship between detection thresholds of redirection gains and the presence of a self-avatar within the virtual environment. In four psychophysical experiments we estimated the thresholds of curvature and translation gain with and without a virtual body. The goal was to evaluate whether a full-body representation has an impact on the detection thresholds of these gains. The results indicate that although the presence of a virtual body does not significantly affect the detectability of these gains, it supports users with the illusion of easier detection. We discuss the possibility of a future combination of full-body representations and redirected walking and if these findings influence the implementation of large virtual environments with immersive virtual body representation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "banner_paper",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1772,
            "image_height": 591,
            "name": "reimer-2020-CBG-banner_paper.jpg",
            "type": "image/jpeg",
            "size": 165848,
            "path": "Publication:reimer-2020-CBG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1832,
            1880,
            378,
            452
        ],
        "booktitle": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstractsand Workshops (VRW)",
        "cfp": {
            "name": "VHCIE@IEEEVR2020 - Submission.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "40118",
            "orig_name": "VHCIE@IEEEVR2020 - Submission.pdf",
            "ext": "pdf"
        },
        "doi": "10.1109/VRW50115.2020.00032",
        "event": "IEEEVR 2020",
        "isbn": "978-1-7281-6532-5",
        "issn": "978-1-7281-6533-2",
        "location": "Atlanta, US",
        "pages": "154-159",
        "pages_from": "154",
        "pages_to": "159",
        "publisher": "IEEE",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "redirected walking",
            "body representation",
            "curvature gain",
            "translation gain"
        ],
        "weblinks": [
            {
                "href": "https://ieeexplore.ieee.org/document/9090671",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "banner_paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1772,
                "image_height": 591,
                "name": "reimer-2020-CBG-banner_paper.jpg",
                "type": "image/jpeg",
                "size": 165848,
                "path": "Publication:reimer-2020-CBG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/reimer-2020-CBG-banner_paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/reimer-2020-CBG/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2020-XREye",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "XREye: Simulating Visual Impairments in Eye-Tracked XR ",
        "date": "2020-03",
        "abstract": "Many people suffer from visual impairments, which can be difficult for patients to describe and others to visualize. To aid in understanding what people with visual impairments experience, we demonstrate a set of medically informed simulations in eye-tracked XR of several common conditions that affect visual perception: refractive errors (myopia, hyperopia, and presbyopia), cornea disease, and age-related macular degeneration (wet and dry).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "live demo in mozilla social hubs room",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 561,
            "image_height": 414,
            "name": "kroesl-2020-XREye-image.png",
            "type": "image/png",
            "size": 327573,
            "path": "Publication:kroesl-2020-XREye",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1633,
            1636,
            1635,
            1634,
            193
        ],
        "booktitle": "2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",
        "location": "(Atlanta) online",
        "open_access": "yes",
        "publisher": "IEEE",
        "research_areas": [
            "Perception",
            "Rendering",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "extended abstract of the research demo",
                "filetitle": "extended abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2020-XREye-extended abstract.pdf",
                "type": "application/pdf",
                "size": 121548,
                "path": "Publication:kroesl-2020-XREye",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-extended abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-extended abstract:thumb{{size}}.png"
            },
            {
                "description": "live demo in mozilla social hubs room",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 561,
                "image_height": 414,
                "name": "kroesl-2020-XREye-image.png",
                "type": "image/png",
                "size": 327573,
                "path": "Publication:kroesl-2020-XREye",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2020-XREye-poster.pdf",
                "type": "application/pdf",
                "size": 3057039,
                "path": "Publication:kroesl-2020-XREye",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2020-XREye-video.mp4",
                "type": "video/mp4",
                "size": 8756217,
                "path": "Publication:kroesl-2020-XREye",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/kroesl-2020-XREye-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kroesl-2020-XREye/",
        "__class": "Publication"
    },
    {
        "id": "Vasylevska2020VRB",
        "type_id": "inproceedings",
        "tu_id": 292209,
        "repositum_id": null,
        "title": "VR Bridges: An Approach to Uneven Surfaces Simulation in VR ",
        "date": "2020-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1256,
            "image_height": 496,
            "name": "Vasylevska2020VRB-image.png",
            "type": "image/png",
            "size": 896522,
            "path": "Publication:Vasylevska2020VRB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1712,
            1487,
            378
        ],
        "booktitle": "Proceedings of IEEE Conference on Virtual Reality 2020",
        "cfp": {
            "name": "Call for Papers.html",
            "type": "text/html",
            "error": "0",
            "size": "134732",
            "orig_name": "Call for Papers.html",
            "ext": "html"
        },
        "date_from": "2020-03-22",
        "date_to": "2020-03-26",
        "doi": "10.1109/VR46266.2020.00-45",
        "event": "IEEE Conference on Virtual Reality 2020",
        "lecturer": [
            1712
        ],
        "location": "Atlanta, USA",
        "open_access": "yes",
        "pages_from": "388",
        "pages_to": "397",
        "publisher": "IEEE",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Virtual Reality",
            "height perception",
            "haptics",
            "simulation",
            "vibration",
            "physical props "
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1256,
                "image_height": 496,
                "name": "Vasylevska2020VRB-image.png",
                "type": "image/png",
                "size": 896522,
                "path": "Publication:Vasylevska2020VRB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-image:thumb{{size}}.png"
            },
            {
                "description": "Author's copy of the publication",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vasylevska2020VRB-paper.pdf",
                "type": "application/pdf",
                "size": 2854687,
                "path": "Publication:Vasylevska2020VRB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/Vasylevska2020VRB-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Vasylevska2020VRB/",
        "__class": "Publication"
    },
    {
        "id": "wiesinger_2020_odpr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Open Database for Physically Based Rendering",
        "date": "2020-03",
        "abstract": "The propagation of light and its interaction with matter can be simulated using mathematical models,\nmost commonly Bidirectional Reflectance Distribution Functions (BRDFs).\nHowever, the creation of physically accurate BRDFs and their verification can be challenging.\nIn order to be able to test and verify physically-based rendering algorithms, various methods have been researched.\nHowever, they are rarely used by the community.\nOne key to the verification of rendering algorithms is to provide test-methods and test-data.\nAnother key is to motivate the community to actually use them and run more tests.\nThis thesis focuses on the latter. For this purpose, the author designed a web-application called “Open Database for Physically-based Rendering (ODPR)”,\nwhere test-scenes of different types and from different studies will be merged into one publicly available place.\nA prototype for ODPR was implemented.\nThe web-application uses community-driven design-patterns similar to StackExchange-sites,\nand allows scientists to register and upload test-scenes.\nThe idea is, that ODPR will be built up and maintained with the help of the community,\nby providing free downloads of test-scenes and additional privileges to registered users. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1614
        ],
        "co_supervisor": [
            1128
        ],
        "date_end": "2020-03",
        "date_start": "2018-03",
        "matrikelnr": "01429087",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wiesinger_2020_odpr-thesis.pdf",
                "type": "application/pdf",
                "size": 2109257,
                "path": "Publication:wiesinger_2020_odpr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/wiesinger_2020_odpr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/wiesinger_2020_odpr/",
        "__class": "Publication"
    },
    {
        "id": "breitenecker-2020-bct",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "BibTeX Consitency Tool - Web Service for Consistency Checks of BibTeX Files",
        "date": "2020-03",
        "abstract": "This thesis presents cleanBibTeX, an application that can detect and correct inconsistencies in BibTEX files. BibTEX is a popular reference management system for LATEX. Unfortunately, when BibTEX files grow with respect to size or come from different sources, they can get inconsistent. For example, titles may have an inconsistent capitalization style, or the bibliography includes abbreviated author names. For a user, it can take a\nlong time to detect such inconsistencies manually. cleanBibTeX allows the user to clean up a bibliography with a few mouseclicks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1685
        ],
        "date_end": "2020-04",
        "date_start": "2019-08",
        "matrikelnr": "01346716",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bachelor thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "breitenecker-2020-bct-bachelor thesis.pdf",
                "type": "application/pdf",
                "size": 757926,
                "path": "Publication:breitenecker-2020-bct",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/breitenecker-2020-bct-bachelor thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/breitenecker-2020-bct-bachelor thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/breitenecker-2020-bct/",
        "__class": "Publication"
    },
    {
        "id": "djuric-2020-wvo",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Web-based visualization of classification and community detection in medical data",
        "date": "2020-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1198,
            "preview_image_height": 568,
            "name": "djuric-2020-wvo-.pdf",
            "type": "application/pdf",
            "size": 6761303,
            "path": "Publication:djuric-2020-wvo",
            "preview_name": "djuric-2020-wvo-:preview.jpg",
            "preview_type": "image/jpeg",
            "preview_size": 57582,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5336
        ],
        "date_end": "2020",
        "date_start": "2019",
        "matrikelnr": "01227873",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1198,
                "preview_image_height": 568,
                "name": "djuric-2020-wvo-.pdf",
                "type": "application/pdf",
                "size": 6761303,
                "path": "Publication:djuric-2020-wvo",
                "preview_name": "djuric-2020-wvo-:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 57582,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/djuric-2020-wvo-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/djuric-2020-wvo/",
        "__class": "Publication"
    },
    {
        "id": "Swoboda2020",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisation and Interaction Techniques for the Exploration of the Fruit Fly’s Neural Structure",
        "date": "2020-02-27",
        "abstract": "In their studies of the brain of the common fruit fly Drosophila melanogaster, neuro-biologists investigate neural connectivity with the goal to discover how complex be-haviour is generated. Gaining information on potential connectivity between neurons is an essential step in their workflow. This thesis presents a way to compute and visualise such potential connectivity information from segmented neurons. It shortens the tedious month-long search for potential connectivity down to a few minutes.\nOverlaps of arborisations of two or more neurons indicate a potential anatomical connection, and thus a potential functional connection. The computation of this data starts from neuron meshes. The meshes—segmented from confocal light-microscopy images of the fruit fly—are intersected to find overlapping areas, i.e. areas of potential anatomical connectivity. This information can then help to discover actual functional connectivity in a neural circuit.\nAnalysing higher order overlaps, i.e. intersections of more than two arborisations of segmented neuron data in the same location, poses new challenges. The visualisation in 2D sections or 3D is impeded by visual clutter and occlusion. Computation of relevant volumetric information becomes difficult for higher order overlaps, because the number of possible overlaps increases exponentially with the number of arborisations. This makes the pre-computation for all possible combinations infeasible. Previous tools have thus been restricted to the quantification and visualisation of pairwise overlaps.\nThe thesis presents a novel solution addressing these issues for higher order over-laps. A novel abstracting design is coupled with a modern approach for on-demand GPU computations. Our tool calculates for the first time volumetric information of higher order overlaps on the GPU using A-buffers. The thesis addresses the visual com-plexity of the data with the implementation of an innovative novel design created by the graphics designer Judith Moosburner. We realised this design using non-photorealistic rendering techniques and perspicuous user interfaces, including interactive glyphs and linked views on quantitative overlap information. To complement the neuroscientists’ workflows the resulting interactive tool has been integrated into BrainGazer, a software tool for advanced visualisation and exploration of neural images and circuit data. Qual-itative evaluation with neuroscientists and non-expert users demonstrated the utility and usability of the tool.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 329,
            "image_height": 311,
            "name": "Swoboda2020-image.JPG",
            "type": "image/jpeg",
            "size": 22737,
            "path": "Publication:Swoboda2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1358
        ],
        "co_supervisor": [
            231
        ],
        "date_end": "2020-02-27",
        "date_start": "2019-09-20",
        "diploma_examina": "2020-05",
        "matrikelnr": "0425828",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 329,
                "image_height": 311,
                "name": "Swoboda2020-image.JPG",
                "type": "image/jpeg",
                "size": 22737,
                "path": "Publication:Swoboda2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Swoboda2020-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 14837665,
                "path": "Publication:Swoboda2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Swoboda2020-Poster.pdf",
                "type": "application/pdf",
                "size": 2513316,
                "path": "Publication:Swoboda2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/Swoboda2020-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Swoboda2020/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2020-hyperlabels",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "HyperLabels: Browsing of Dense and Hierarchical Molecular 3D Models",
        "date": "2020-02-24",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 255,
            "image_height": 189,
            "name": "kouril-2020-hyperlabels-image.JPG",
            "type": "image/jpeg",
            "size": 25538,
            "path": "Publication:kouril-2020-hyperlabels",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383,
            960,
            1248,
            1746,
            166,
            171
        ],
        "cfp": {
            "name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "124288",
            "orig_name": "Gmail - IEEE VIS 2020 - Call for Participation_ Papers; Workshops; Doctoral Colloquium.pdf",
            "ext": "pdf"
        },
        "date_from": "2020-02-24",
        "date_to": "2020-02-24",
        "doi": "10.1109/TVCG.2020.2975583",
        "event": "IEEE Vis 2020",
        "first_published": "2020-02-24",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1383
        ],
        "note": "to appear",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "12",
        "volume": "1",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 255,
                "image_height": 189,
                "name": "kouril-2020-hyperlabels-image.JPG",
                "type": "image/jpeg",
                "size": 25538,
                "path": "Publication:kouril-2020-hyperlabels",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "kouril-2020-hyperlabels-Paper.pdf",
                "type": "application/pdf",
                "size": 17304362,
                "path": "Publication:kouril-2020-hyperlabels",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/kouril-2020-hyperlabels-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/kouril-2020-hyperlabels/",
        "__class": "Publication"
    },
    {
        "id": "houska-2020-IPGM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improved Persistent Grid Mapping",
        "date": "2020-02-07",
        "abstract": "We propose a novel heightmap-based terrain rendering algorithm that enhances the Persistent Grid Mapping (PGM) method. As in the underlying method, we cache a regular triangulated grid in video memory and use the GPU to project the mesh onto the ground plane each frame anew. Each vertex in the grid is then displaced according to the sampled heightmap value along the ground plane’s normal vector. The perspective mapping of the grid results in a view-dependent, continuous level-of-detail approximation of the terrain dataset.\n\nPGM is a simple and elegant terrain rendering algorithm, however, as the camera hovers over the terrain, projected vertex positions slide over the terrain. This leads to the underlying static terrain surface changing shape slightly from frame to frame. We address these swimming artifacts by introducing four improvements: tailoring the projected grid, which pushes most otherwise culled vertices back into the view frustum, redistributing grid vertices according to an importance function for more faithful mipmap selection when sampling the heightmap, local terrain edge search for vertices within a certain proximity to the camera, and exploiting temporal coherence between frames. While our algorithm cannot guarantee a maximum screen-space error, it nevertheless reduces PGM’s inherent temporal aliasing artifacts considerably.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "houska-2020-IPGM-image.jpg",
            "type": "image/jpeg",
            "size": 73012,
            "path": "Publication:houska-2020-IPGM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            782
        ],
        "date_end": "2020-02-07",
        "date_start": "2009-01-01",
        "diploma_examina": "2020-02-07",
        "matrikelnr": "9907459",
        "open_access": "yes",
        "supervisor": [
            452,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "houska-2020-IPGM-image.jpg",
                "type": "image/jpeg",
                "size": 73012,
                "path": "Publication:houska-2020-IPGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "houska-2020-IPGM-poster.pdf",
                "type": "application/pdf",
                "size": 2273192,
                "path": "Publication:houska-2020-IPGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "houska-2020-IPGM-thesis.pdf",
                "type": "application/pdf",
                "size": 12544262,
                "path": "Publication:houska-2020-IPGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/houska-2020-IPGM-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/houska-2020-IPGM/",
        "__class": "Publication"
    },
    {
        "id": "Luidolt-2020-DA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1203",
        "title": "Perception of Light in Virtual Reality",
        "date": "2020-02",
        "abstract": "The perception of light and light incidence in the human eye is substantially different in real-world scenarios and virtual reality (VR) simulations. Standard low dynamic range displays, as used in common VR headsets, are not able to replicate the same light intensities we see in reality. Therefore, light phenomenons, such as temporal eye adaptation, perceptual glare, visual acuity reduction and scotopic color vision need to be simulated to generate realistic images. Even though, a physically based simulation of these effects could increase the perceived reality of VR applications, this topic has not been thoroughly researched yet. \nWe propose a post-processing workflow for VR and augmented reality (AR), using eye tracking, that is based on medical studies of the healthy human eye and is able to run in real time, to simulate light effects as close to reality as possible. We improve an existing temporal eye adaptation algorithm to be view-dependent. We adapt a medically based glare simulation to run in VR and AR. Additionally, we add eye tracking to adjust the glare intensity according to the viewing direction and the glare appearance depending on the user’s pupil size. We propose a new function fit for the reduction of visual acuity in VR head mounted displays. Finally, we include scotopic color vision for more realistic rendering of low-light scenes. \nWe conducted a primarily qualitative pilot study, comparing a real-world low-light scene to our VR simulation through individual, perceptual evaluation. Most participants mentioned, that the simulation of temporal eye adaptation, visual acuity reduction and scotopic color vision was similar or the same as their own perception in the real world. However, further work is necessary to improve the appearance and movement of our proposed glare kernel. We conclude, that our work has laid a ground base for further research regarding the simulation and individual adaptation to the perception of light in VR.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1080,
            "name": "Luidolt-2020-DA-image.png",
            "type": "image/png",
            "size": 1606001,
            "path": "Publication:Luidolt-2020-DA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1577
        ],
        "date_end": "2020-02-02",
        "date_start": "2019-04",
        "diploma_examina": "2020-02-10",
        "matrikelnr": "01427250 ",
        "supervisor": [
            1030,
            193
        ],
        "research_areas": [
            "Perception",
            "Rendering",
            "VR"
        ],
        "keywords": [
            "perception",
            "temporal eye adaptation",
            "glare",
            "virtual reality",
            "scotopic vision",
            "visual acuity reduction",
            "augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "Luidolt-2020-DA-image.png",
                "type": "image/png",
                "size": 1606001,
                "path": "Publication:Luidolt-2020-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Luidolt-2020-DA-poster.pdf",
                "type": "application/pdf",
                "size": 6507701,
                "path": "Publication:Luidolt-2020-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Luidolt-2020-DA-thesis.pdf",
                "type": "application/pdf",
                "size": 15289421,
                "path": "Publication:Luidolt-2020-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/Luidolt-2020-DA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Luidolt-2020-DA/",
        "__class": "Publication"
    },
    {
        "id": "raidou_shonan167",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "NII Shonan Meeting Report No. 167: Formalizing Biological and Medical Visualization",
        "date": "2020-02",
        "abstract": "Medicine and biology are among the most important research fields, having a significant impact on humans and their health.  For decades, these fields have been highly dependent on visualization—establishing a tight coupling which is crucial for the development of visualization techniques, designed exclusively for the disciplines of medicine and biology.  These visualization techniques can be  generalized  by  the  term  Biological  and  Medical  Visualization—for  short,BioMedical Visualization.  BioMedical Visualization is not only an enabler for medical diagnosis and treatment, but also an influential component of today’s life science research.  Many BioMedical domains can now be studied at various scales and dimensions, with different imaging modalities and simulations, and for a variety of purposes.  Accordingly, BioMedical Visualization has also innumerable contributions in industrial applications.  However, despite its proven scientific maturity and societal value, BioMedical Visualization is often treated within Computer  Science  as  a  mere  application  subdomain  of  the  broader  field  of Visualization.To  enable  BioMedical  Visualization  to  further  thrive,  it  is  important  to formalize its characteristics independently from the general field of Visualization.Also, several lessons learnt within the context of BioMedical Visualization may be applicable and extensible to other application domains or to the parent field of Visualization.  Formalization has become particularly urgent, with the latest advances of BioMedical Visualization—in particular, with respect to dealing with Big Data Visualization, e.g., for the visualization of multi-scale, multi-modal,cohort, or computational biology data.  Rapid changes and new opportunities in  the  field,  also  regarding  the  incorporation  of  Artificial  Intelligence  with“human-in-the-loop” concepts within the field of Visual Analytics, compel further this formalization.  By enabling the BioMedical Visualization community to have intensive discussions on the systematization of current knowledge, we can adequately  prepare ourselves  for  future  prospects  and  challenges,  while  also contributing to the broader Visualization community.\nDuring this 4-day seminar, which was the 150th NII Shonan meeting to be organized, we brought together 25 visualization experts from diverse institutions,backgrounds and expertise to discuss,  identify,  formalize,  and document the specifics of our field.  This has been a great opportunity to cover a range of relevant and contemporary topics, and as a systematic effort towards establishing better fundaments for the field and towards determining novel future challenges.In the upcoming sections of this report, we summarize the content of invited talks and of the eight main topics that were discussed within the working groups during the seminar.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1248,
            818,
            951,
            590
        ],
        "note": "ISSN 2186-7437",
        "number": "TR-193-02-2020-1",
        "open_access": "yes",
        "research_areas": [
            "BioVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://shonan.nii.ac.jp/seminars/167/",
                "caption": "workshop page",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 2497,
                "preview_image_height": 1361,
                "name": "raidou_shonan167-report.pdf",
                "type": "application/pdf",
                "size": 2764706,
                "path": "Publication:raidou_shonan167",
                "preview_name": "raidou_shonan167-report:preview.PNG",
                "preview_type": "image/png",
                "preview_size": 332855,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/raidou_shonan167-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/raidou_shonan167-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_shonan167/",
        "__class": "Publication"
    },
    {
        "id": "rumpelnik_martin_2020_PRM",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Planetary Rendering with Mesh Shaders",
        "date": "2020-02",
        "abstract": "Planetary rendering solutions often suffer from artifacts or low performance when rendering very big terrains with high details. In this thesis, we present a method that targets real-time applications and therefore aims to achieve high performance. The method can be applied with an arbitrary amount of detail, which enables stable performance under runtime or hardware restriction. In contrast to existing methods, like quadtrees and clipmaps, our method avoids artifacts, such as popping or swimming, as much as possible. The method submits coarse, rectangular regions of cells around the viewer to NVidia’s new geometry pipeline that was introduced with their Turing Architecture. Due to the capabilities of the new pipeline, we can make efficient level-of-detail decisions on the graphics processing unit (GPU) and produce work to create circular regions from the rectangular ones. These circular regions provide uniform terrain resolution for the viewer in all directions, while maintaining low rendering times.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1346,
            "image_height": 952,
            "name": "rumpelnik_martin_2020_PRM-image.png",
            "type": "image/png",
            "size": 667153,
            "path": "Publication:rumpelnik_martin_2020_PRM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1702
        ],
        "date_end": "2020-02-24",
        "date_start": "2019-06",
        "matrikelnr": "01633397",
        "supervisor": [
            193,
            1650
        ],
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "rendering",
            "real-time",
            "GPU",
            "terrain"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1346,
                "image_height": 952,
                "name": "rumpelnik_martin_2020_PRM-image.png",
                "type": "image/png",
                "size": 667153,
                "path": "Publication:rumpelnik_martin_2020_PRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 978,
                "image_height": 985,
                "name": "rumpelnik_martin_2020_PRM-image2.png",
                "type": "image/png",
                "size": 990356,
                "path": "Publication:rumpelnik_martin_2020_PRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rumpelnik_martin_2020_PRM-Thesis.pdf",
                "type": "application/pdf",
                "size": 32373464,
                "path": "Publication:rumpelnik_martin_2020_PRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/rumpelnik_martin_2020_PRM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/rumpelnik_martin_2020_PRM/",
        "__class": "Publication"
    },
    {
        "id": "PUEYO-2019-SCL",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shrinking City Layouts",
        "date": "2020-02",
        "abstract": "One important use of realistic city environments is in the video game industry. When a company works on a game whose action occurs in a real-world environment, a team of designers usually creates a simplified model of the real city. In particular, the resulting city is desired to be smaller in extent to increase playability and fun, avoiding long walks and “boring” neighborhoods. This is manual work, usually started from scratch, where the first step is to take the original city map as input, and from it create the street network of the final city, removing insignificant streets and bringing important places closer together in the process. This first draft of the city street network is like a kind of skeleton with the most important places connected, from which the artist can (and should) start working until the desired result is obtained. In this paper, we propose a solution to automatically generate such a first simplified street network draft. This is achieved by using the well-established seam-carving technique applied to a sckeleton of the city layout, built with the important landmarks and streets of the city. The output that our process provides is a street network that reduces the city area as much as the designer wants, preserving landmarks and key streets, while keeping the relative positions between them. For this, we run a shrinking process that reduces the area in an irregular way, prioritizing the removal of areas of less importance. This way, we achieve a smaller city but retain the essence of the real-world one. To further help the designer, we also present an automatic filling algorithm that adds unimportant streets to the shrunken skeleton.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1717,
            1718,
            440,
            193,
            1719
        ],
        "doi": "10.1016/j.cag.2019.11.004",
        "first_published": "2019-11-22",
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "open_access": "no",
        "pages_from": "15",
        "pages_to": "26",
        "volume": "86",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling",
            "computer games"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/PUEYO-2019-SCL/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_V1_2020",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": "20.500.12708/87163",
        "title": "Interactive Visual Analysis in the Computational Sciences",
        "date": "2020-01-29",
        "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, scalable visualizations, and linked/integrated views. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the computational sciences will be discussed in detail. These concern: parameter studies of dataset series; visual analytics for the exploration and assessment of segmentation errors; quantitative visual analytics with structured brushing and linked statistics; visual comparison of 3D volumes through space-filling curves. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "High Visual Computing (HiVisComp) 2020",
        "location": "Hotel Praha, Ore Mountains, Czech Republic",
        "open_access": "yes",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Groeller_V1_2020/",
        "__class": "Publication"
    },
    {
        "id": "Cornel_2020",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1225",
        "title": "Interactive Visualization of Simulation Data for GeospatialDecision Support",
        "date": "2020-01-19",
        "abstract": "Floods are catastrophic events that claim thousands of human lives every year. For theprediction of these events, interactive decision support systems with integrated floodsimulation have become a vital tool. Recent technological advances made it possibleto simulate flooding scenarios of unprecedented scale and resolution, resulting in verylarge time-dependent data. The amount of simulation data is further amplified by theuse of ensemble simulations to make predictions more robust, yielding high-dimensionaland uncertain data far too large for manual exploration. New strategies are thereforeneeded to filter these data and to display only the most important information to supportdomain experts in their daily work. This includes the communication of results to decisionmakers, emergency services, stakeholders, and the general public. A modern decisionsupport system has to be able to provide visual results that are useful for domain experts,but also comprehensible for larger audiences. Furthermore, for an efficient workflow, theentire process of simulation, analysis, and visualization has to happen in an interactivefashion, putting serious time constraints on the system.In this thesis, we present novel visualization techniques for time-dependent and uncertainflood, logistics, and pedestrian simulation data for an interactive decision support system.As the heterogeneous tasks in flood management require very diverse visualizations fordifferent target audiences, we provide solutions to key tasks in the form of task-specificand user-specific visualizations. This allows the user to show or hide detailed informationon demand to obtain comprehensible and aesthetic visualizations to support the task athand. In order to identify the impact of flooding incidents on a building of interest, onlya small subset of all available data is relevant, which is why we propose a solution toisolate this information from the massive simulation data. To communicate the inherentuncertainty of resulting predictions of damages and hazards, we introduce a consistentstyle for visualizing the uncertainty within the geospatial context. Instead of directlyshowing simulation data in a time-dependent manner, we propose the use of bidirectionalflow maps with multiple components as a simplified representation of arbitrary materialflows. For the communication of flood risks in a comprehensible way, however, thedirect visualization of simulation data over time can be desired. Apart from the obviouschallenges of the complex simulation data, the discrete nature of the data introducesadditional problems for the realistic visualization of water surfaces, for which we proposerobust solutions suitable for real-time applications. All of our findings have been acquiredthrough a continuous collaboration with domain experts from several flood-related fieldsof work. The thorough evaluation of our work by these experts confirms the relevanceand usefulness of our presented solutions. \n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 436,
            "image_height": 277,
            "name": "Cornel_2020-image.JPG",
            "type": "image/jpeg",
            "size": 53075,
            "path": "Publication:Cornel_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877
        ],
        "doi": "10.34726/hss.2020.75784",
        "duration": "5",
        "matrikelnr": "0726194",
        "open_access": "yes",
        "pages": "167",
        "reviewer_1": [
            1745
        ],
        "reviewer_2": [
            823
        ],
        "rigorosum": "2020-01",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Interactive visualization",
            "uncertainty",
            "flood management",
            "decision support",
            "flood simulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 436,
                "image_height": 277,
                "name": "Cornel_2020-image.JPG",
                "type": "image/jpeg",
                "size": 53075,
                "path": "Publication:Cornel_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Cornel_2020-PhD Thesis.pdf",
                "type": "application/pdf",
                "size": 43001362,
                "path": "Publication:Cornel_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-PhD Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/Cornel_2020-PhD Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Cornel_2020/",
        "__class": "Publication"
    },
    {
        "id": "raidou_2020Onc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": "20.500.12708/141410",
        "title": "Principles of Visualization in Radiation Oncology",
        "date": "2020-01-15",
        "abstract": "Background: Medical visualization employs elements from computer graphics to create meaningful, interactive visual representations of medical data, and it has become an influential field of research for many advanced applications like radiation oncology, among others. Visual representations employ the user’s cognitive capabilities to support and accelerate diagnostic, planning, and quality assurance workflows based on involved patient data. Summary: This article discusses the basic underlying principles of visualization in the application domain of radiation oncology. The main visualization strategies, such as slice-based representations and surface and volume rendering are presented. Interaction topics, i.e., the combination of visualization and automated analysis methods, are also discussed. Key Messages: Slice-based representations are a common approach in radiation oncology, while volume visualization also has a long-standing history in the field. Perception within both representations can benefit further from advanced approaches, such as image fusion and multivolume or hybrid rendering. While traditional slice-based and volume representations keep evolving, the dimensionality and complexity of medical data are also increasing. To address this, visual analytics strategies are valuable, particularly for cohort or uncertainty visualization. Interactive visual analytics approaches represent a new opportunity to integrate knowledgeable experts and their cognitive abilities in exploratory processes which cannot be conducted by solely automatized methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1651,
            563,
            231,
            1410
        ],
        "doi": "https://doi.org/10.1159/000504940",
        "journal": "Oncology and Informatics",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "11",
        "volume": "1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_2020Onc-paper.pdf",
                "type": "application/pdf",
                "size": 900790,
                "path": "Publication:raidou_2020Onc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/raidou_2020Onc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_2020Onc/",
        "__class": "Publication"
    },
    {
        "id": "Halladjian_2020",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/141411",
        "title": "ScaleTrotter: Illustrative Visual Travels Across Negative Scales",
        "date": "2020-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "scale_trotter",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 770,
            "image_height": 838,
            "name": "Halladjian_2020-scale_trotter.png",
            "type": "image/png",
            "size": 746352,
            "path": "Publication:Halladjian_2020",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1665,
            1263,
            1383,
            166,
            171,
            960
        ],
        "date_from": "2019-10",
        "date_to": "2019-10",
        "event": "IEEE Vis 2019",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1665
        ],
        "number": "1",
        "volume": "26",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Halladjian_2020-paper.pdf",
                "type": "application/pdf",
                "size": 14976666,
                "path": "Publication:Halladjian_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "scale_trotter",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 770,
                "image_height": 838,
                "name": "Halladjian_2020-scale_trotter.png",
                "type": "image/png",
                "size": 746352,
                "path": "Publication:Halladjian_2020",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/Halladjian_2020-scale_trotter:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/Halladjian_2020/",
        "__class": "Publication"
    },
    {
        "id": "heim-gall-2020-dde",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "DDE - Dynamic Data Explorer: Dynamic data exploration in a collaborative spatial-aware environment",
        "date": "2020-01",
        "abstract": "Collaborative decision-making has become an integral part of the analysis process aiming to get insight into multivariate\ndata. To further encourage this workflow numerous co-located, multi-user systems have been developed consisting of large\nmulti-touch screens or interactive tabletops. But such frameworks are typically expensive and unavailable outside dedicated\nenvironments as for example laboratories. Therefore we developed the Dynamic Data Explorer, short DDE, a multi-user system\nthat enables users to join, in an ad-hoc manner, with their own mobile devices. Since forming groups should be possible in\nvarious locations, the tracking system, enabling spatial awareness of the devices, has to be light-weight and small. Near Field\nCommunication (NFC) is a widespread transmission technology which fulfils these properties and is used in our framework to\nenable different side-by-side arrangements of devices. This allows users to explore multivarate data visualizations on a system\nwhere the number of devices and their set-up can be modified at all times.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "setup",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2220,
            "image_height": 1900,
            "name": "heim-gall-2020-dde-setup.jpg",
            "type": "image/jpeg",
            "size": 1379498,
            "path": "Publication:heim-gall-2020-dde",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1354,
            1355
        ],
        "date_end": "2020-01",
        "date_start": "2019-04",
        "matrikelnr": "1226809, 1225540",
        "supervisor": [
            1110,
            1643
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/nonsens949/Practicum/wiki",
                "caption": "GitHub",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "heim-gall-2020-dde-report.pdf",
                "type": "application/pdf",
                "size": 1583282,
                "path": "Publication:heim-gall-2020-dde",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "setup",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2220,
                "image_height": 1900,
                "name": "heim-gall-2020-dde-setup.jpg",
                "type": "image/jpeg",
                "size": 1379498,
                "path": "Publication:heim-gall-2020-dde",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/heim-gall-2020-dde-setup:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/heim-gall-2020-dde/",
        "__class": "Publication"
    },
    {
        "id": "TOMASCHITZ-2020-EP",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1251",
        "title": "Erlernen von Programmieren an Oberstufen der Gymnasien Österreichs durch Computergrafik-unterstützte Ausgabe",
        "date": "2020-01",
        "abstract": "Learning programming is a challenging task as several skills, have to be learned. Some of those are mathematical knowledge, logical knowledge and knowledge about handling the computer. By having these skills, someone could start learning programming in a more or less effective way. However, the skill „programming“ describes the way of thinking some-one should achieve, not only writing correct code with the help of a programming language.\n\nBut learning to think like a programmer needs time, as described above. Many different skills for solving software problems are needed. Therefore the way of learning is essential. Many books teaching how to program only show the right way of using a programming language and do not focus on the essential part: the way of thinking. Another problem shown in past researches is based on the way of teaching. Motivated by the right factors, student could achieve better results when learning new content. Using the method of active learning with combined audio and video sources for teaching caused much more effective learning results as humans are trained to remember faster and longer what they have seen or heard.\n\nIn Austria, students are forced to learn a variety of clearly separated topics within three years to gain knowledge about informatics before leaving high school. Breaking it down, the time for learning programming basics within a year are about 8 weeks, having 2 units à 50 minutes. So time is short and the teacher is forced to use an effective way to teach programming and show students how to think like a programmer.\n\nHaving all these facts in mind, a method shown in this document is developed that is effective enough to achieve the goal of an effective learning curve. As personally experienced, learning programming is much easier having the right way of representing what is going on. The „classic“ way of showing what is going on is by having textual output, while the method developed here uses graphical output to represent what has been programmed. The aim of this research is to analyse the effectiveness of graphical output over textual out-put. The structure of the document is as follows: analysis of actual research, basics used in the learning method developed and comparison between programming with textual output and programming with graphical output. In the end, the results are shown and a perspec-tive is shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1105,
            "image_height": 640,
            "name": "TOMASCHITZ-2020-EP-image.jpg",
            "type": "image/jpeg",
            "size": 28990,
            "path": "Publication:TOMASCHITZ-2020-EP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1759
        ],
        "date_end": "2020-03",
        "date_start": "2018-10",
        "diploma_examina": "2020-03-02",
        "doi": "10.34726/hss.2020.62900",
        "matrikelnr": "00051491",
        "open_access": "yes",
        "pages": "112",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "Lernmethode",
            "Lerneffizienz",
            "Programmieren",
            "textuell",
            "visuell"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1105,
                "image_height": 640,
                "name": "TOMASCHITZ-2020-EP-image.jpg",
                "type": "image/jpeg",
                "size": 28990,
                "path": "Publication:TOMASCHITZ-2020-EP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TOMASCHITZ-2020-EP-poster.pdf",
                "type": "application/pdf",
                "size": 514733,
                "path": "Publication:TOMASCHITZ-2020-EP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TOMASCHITZ-2020-EP-thesis.pdf",
                "type": "application/pdf",
                "size": 5691212,
                "path": "Publication:TOMASCHITZ-2020-EP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/TOMASCHITZ-2020-EP-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/TOMASCHITZ-2020-EP/",
        "__class": "Publication"
    },
    {
        "id": "nguyen_2020-covid",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models",
        "date": "2020",
        "abstract": "We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics of the macromolecular elements on the membrane. This information is utilized in 3D model construction. Once all imaging evidence is incorporated in the model, additional information can be incorporated by interactively defining rules that spatially characterize the rest of the biological entity, such as mutual interactions among macromolecules, their distances and orientations to other structures. These rules are defined through an intuitive 3D interactive visualization and modeling feedback loop. We demonstrate the utility of our approach on a use case of the modeling procedure of the SARS-CoV-2 virus particle ultrastructure. Its first complete atomistic model, which we present here, can steer biological research to new promising directions in fighting spread of the virus.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2160,
            "image_height": 1824,
            "name": "nguyen_2020-covid-image.png",
            "type": "image/png",
            "size": 3574056,
            "path": "Publication:nguyen_2020-covid",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1788,
            1789,
            1285,
            1791,
            194,
            1792,
            935,
            1260,
            1365,
            171
        ],
        "date_from": "2020",
        "date_to": "2020 (to appear)",
        "event": "IEEE VIS 2020",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2160,
                "image_height": 1824,
                "name": "nguyen_2020-covid-image.png",
                "type": "image/png",
                "size": 3574056,
                "path": "Publication:nguyen_2020-covid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/nguyen_2020-covid-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/nguyen_2020-covid/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov2020visual",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics in Dental Aesthetics",
        "date": "2020",
        "abstract": "Dental healthcare increasingly employs computer-aided design software,\nto provide patients with high-quality dental prosthetic devices. In\nmodern dental reconstruction, dental technicians address the unique\nanatomy of each patient individually, by capturing the dental impression\nand measuring the mandibular movements. Subsequently, dental technicians\ndesign a custom denture that fits the patient from a functional point of\nview. The current workflow does not include a systematic analysis of\naesthetics, and dental technicians rely only on an aesthetically\npleasing mock-up that they discuss with the patient, and on their\nexperience. Therefore, the final denture aesthetics remain unknown until\nthe dental technicians incorporate the denture into the patient. In this\nwork, we present a solution that integrates aesthetics analysis into the\nfunctional workflow of dental technicians. Our solution uses a video\nrecording of the patient, to preview the denture design at any stage of\nthe denture design process. We present a teeth pose estimation technique\nthat enables denture preview and a set of linked visualizations that\nsupport dental technicians in the aesthetic design of dentures. These\nvisualizations assist dental technicians in choosing the most\naesthetically fitting preset from a library of dentures, in identifying\nthe suitable denture size, and in adjusting the denture position. We\ndemonstrate the utility of our system with four use cases, explored by a\ndental technician. Also, we performed a quantitative evaluation for\nteeth pose estimation, and an informal usability evaluation, with\npositive outcomes concerning the integration of aesthetics analysis into\nthe functional workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            660,
            925,
            1628,
            1629,
            166,
            869
        ],
        "doi": "https://doi.org/10.1111/cgf.14174",
        "journal": "Computer Graphics Forum",
        "number": "7",
        "pages": "635–646",
        "pages_from": "635",
        "pages_to": "646",
        "volume": "39",
        "research_areas": [],
        "keywords": [
            "Applied computing -> Life and medical sciences",
            "Human-centered computing -> Visualization application domains"
        ],
        "weblinks": [
            {
                "href": "https://amirkhanov.net/visual-analytics-in-dental-aesthetics/",
                "caption": "Official page",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2020/amirkhanov2020visual/",
        "__class": "Publication"
    },
    {
        "id": "wieser-2019-ani",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Classification of Production Ready 2D Animation using Contour and Distance Fields",
        "date": "2019-12",
        "abstract": "Image classification is one of the most common use cases of Convolutional Neural Networks. In this thesis, our goal is to increase the accuracy of a neural network classifier for frames of production ready 2D animations and to create a model from a dataset with high accuracy for classification. This can be seen as groundwork for future work that applies neural networks on production ready 2D animation data, by reusing and tweaking the model for different applications.\n\nWe compare training a neural network with the color channels of images to training with\ngrayscale images, predicted contours or distance fields generated from those contours.\nFurthermore, different combinations of the data will be used to evaluate the best option.\nThis means that the comparison of the accuracy not only includes color data compared\nto color with contours and distance fields but every combination of the aforementioned\nfour types of input.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 217,
            "image_height": 145,
            "name": "wieser-2019-ani-teaser.jpg",
            "type": "image/jpeg",
            "size": 14419,
            "path": "Publication:wieser-2019-ani",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1657
        ],
        "date_end": "2019-12",
        "date_start": "2019-06",
        "matrikelnr": "01633066",
        "supervisor": [
            193,
            1639
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 217,
                "image_height": 145,
                "name": "wieser-2019-ani-teaser.jpg",
                "type": "image/jpeg",
                "size": 14419,
                "path": "Publication:wieser-2019-ani",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/wieser-2019-ani-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wieser-2019-ani/",
        "__class": "Publication"
    },
    {
        "id": "zsolnai-feher-thesis-2019",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photorealistic Material Learning and Synthesis",
        "date": "2019-12",
        "abstract": "Light transport simulations are the industry-standard way of creating convincing photorealistic imagery and are widely used in creating animation movies, computer animations, medical and architectural visualizations among many other notable applications. These techniques simulate how millions of rays of light interact with a virtual scene, where the realism of the final output depends greatly on the quality of the used materials and the geometry of the objects within this scene. In this thesis, we endeavor to address two key issues pertaining to photorealistic material synthesis: first, creating convincing photorealistic materials requires years of expertise in this field and requires a non-trivial amount of trial and error from the side of the artist. We propose two learning-based methods that enables novice users to easily and quickly synthesize photorealistic materials by learning their preferences and recommending arbitrarily many new material models that are in line with their artistic vision. We also augmented these systems with a neural renderer that performs accurate light-transport simulation for these materials orders of magnitude quicker than the photorealistic rendering engines commonly used for these tasks. As a result, novice users are now able to perform mass-scale material synthesis, and even expert users experience a significant improvement in modeling times when many material models are sought.\n\nSecond, simulating subsurface light transport leads to convincing translucent material visualizations, however, most published techniques either take several hours to compute an image, or make simplifying assumptions regarding the underlying physical laws of volumetric scattering. We propose a set of real-time methods to remedy this issue by decomposing well-known 2D convolution filters into a set of separable 1D convolutions while retaining a high degree of visual accuracy. These methods execute within a few milliseconds and can be inserted into state-of-the-art rendering systems as a simple post-processing step without introducing intrusive changes into the rendering pipeline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2688,
            "image_height": 1512,
            "name": "zsolnai-feher-thesis-2019-image.jpg",
            "type": "image/jpeg",
            "size": 1467354,
            "path": "Publication:zsolnai-feher-thesis-2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073
        ],
        "date_end": "2019",
        "date_start": "2013",
        "open_access": "yes",
        "reviewer_1": [
            196
        ],
        "reviewer_2": [
            1736
        ],
        "rigorosum": "2020-01",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "neural rendering",
            "machine learning",
            "photorealistic rendering",
            "ray tracing",
            "global illumination",
            "material synthesis"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/zsolnai/",
                "caption": "More information, supplementary videos and materials",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2688,
                "image_height": 1512,
                "name": "zsolnai-feher-thesis-2019-image.jpg",
                "type": "image/jpeg",
                "size": 1467354,
                "path": "Publication:zsolnai-feher-thesis-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnai-feher-thesis-2019-thesis.pdf",
                "type": "application/pdf",
                "size": 149439876,
                "path": "Publication:zsolnai-feher-thesis-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/zsolnai-feher-thesis-2019-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PathSpace"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnai-feher-thesis-2019/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2019-odn",
        "type_id": "inproceedings",
        "tu_id": 284199,
        "repositum_id": null,
        "title": "Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation",
        "date": "2019-12",
        "abstract": "Analysis of large dynamic networks is a thriving research field, typically relying on 2D graph representations. The advent of affordable head mounted displays sparked new interest in the potential of 3D visualization for immersive network analytics. Nevertheless, most solutions do not scale well with the number of nodes and edges and rely on conventional fly- or walk-through navigation. In this paper, we present a novel approach for the exploration of large dynamic graphs in virtual reality that interweaves two navigation metaphors: overview exploration and immersive detail analysis. We thereby use the potential of state-of-the-art VR headsets, coupled with a web-based 3D rendering engine that supports heterogeneous input modalities to enable ad-hoc immersive network analytics. We validate our approach through a performance evaluation and a case study with experts analyzing medical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "detail view",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 900,
            "name": "sorger-2019-odn-detail view.jpg",
            "type": "image/jpeg",
            "size": 203956,
            "path": "Publication:sorger-2019-odn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            1110,
            853,
            1705
        ],
        "booktitle": "2nd International Conference on Artificial Intelligence & Virtual Reality",
        "cfp": {
            "name": "IEEE AIVR 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "203068",
            "orig_name": "IEEE AIVR 2019.pdf",
            "ext": "pdf"
        },
        "event": "AIVR 2019",
        "lecturer": [
            1072
        ],
        "location": "San Diego, California, USA",
        "open_access": "yes",
        "organization": "IEEE",
        "pages_from": "144",
        "pages_to": "151",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "Immersive Network Analytics",
            "Web-Based Visualization",
            "Dynamic Graph Visualization"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/pdf/1910.06825.pdf",
                "caption": "arxiv preprint",
                "description": null,
                "main_file": 1
            },
            {
                "href": "http://aivr.science.uu.nl/",
                "caption": "IEEE AIVR 2019",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "detail view",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 900,
                "name": "sorger-2019-odn-detail view.jpg",
                "type": "image/jpeg",
                "size": 203956,
                "path": "Publication:sorger-2019-odn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-detail view:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2019-odn-video.mp4",
                "type": "video/mp4",
                "size": 97540271,
                "path": "Publication:sorger-2019-odn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/sorger-2019-odn-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sorger-2019-odn/",
        "__class": "Publication"
    },
    {
        "id": "stappen-2019-vrs",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving Real-Time Rendering Quality and Efficiency using Variable Rate Shading on Modern Hardware",
        "date": "2019-12",
        "abstract": "With the NVIDIA Turing graphics card micro-architecture released in 2018, not only\nperformance in terms of operations per second is increased but also new hardware features\nare introduced, like Variable Rate Shading (VRS). VRS allows focussing the processing\npower by dividing the framebuffer into tiles and dynamically controlling the resolution of\neach tile. To be precise, the screen is partitioned into tiles of 16x16 pixels and for each tile,\nit can be specified how often the fragment shader shall be executed. It is both possible,\nto have fewer fragment shader invocations than there are fragments, or more fragment\nshader invocations than there are fragments. This allows individually defining lower\nsampling rates or supersampling for regions of the screen. Regions of less interest or with\nless visual details can be assigned less computational power in terms of shader executions\nwhile regions that should provide high fidelity can be supersampled. The challenges here\nare to find and distinguish these regions in a dynamic scene, like it is the case for games,\nand how this technique integrates with commonly used techniques in the industry, like\ndeferred shading. NVIDIA already proposed some strategies on how these regions can\nbe distinguished and how the shading rate can be selected. Among these strategies are\nContent-Adaptive Shading and Motion-Adaptive Shading. Content-Adaptive Shading\nvaries the shading rate according to the current content of a frame and does not take\ntemporal coherence into account. Motion-Adaptive Shading adapts the shading rate\naccording to the changes in the scene. Stable regions, like for example the horizon and\nthe car in a driving simulation, will be rendered with higher quality. In contrast, moving\nregions like the street will be rendered more coarsely because the viewer cannot focus on\nthese regions anyway. Another approach for selecting the shading rate is to adapt the\nresolution to the viewer’s focus. This can be done in combination with an eye-tracking\ndevice and is called foveated rendering. We invented a novel approach that utilizes data\nfrom temporal anti-aliasing techniques to detect under- and oversampled regions and\nselect the appropriate shading rate for these regions. We developed five algorithms,\nedge-based and texel-differential based Content-Adaptive Shading, Motion-Adaptive\nShading integrating the motion over multiple frames, single-pass foveated rendering\nand TAA-Adaptive Shading. The applicability of each algorithm to modern renderer\narchitectures with forward and deferred shading and anti-aliasing post-processing has\nbeen evaluated. The major advantage of our VRS techniques is that some of them enable\nup to 4x higher rendering resolution with the same performance or up to 4x better\nperformance at the same resolution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1598,
            "image_height": 899,
            "name": "stappen-2019-vrs-image.jpg",
            "type": "image/jpeg",
            "size": 112873,
            "path": "Publication:stappen-2019-vrs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1406
        ],
        "date_end": "2019-12",
        "date_start": "2018-10",
        "diploma_examina": "2020-01-23",
        "matrikelnr": "01329020",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Variable Rate Shading"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1598,
                "image_height": 899,
                "name": "stappen-2019-vrs-image.jpg",
                "type": "image/jpeg",
                "size": 112873,
                "path": "Publication:stappen-2019-vrs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-image:thumb{{size}}.png"
            },
            {
                "description": "Poster (PDF)",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stappen-2019-vrs-poster.pdf",
                "type": "application/pdf",
                "size": 3468825,
                "path": "Publication:stappen-2019-vrs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-poster:thumb{{size}}.png"
            },
            {
                "description": "Thesis (PDF)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stappen-2019-vrs-thesis.pdf",
                "type": "application/pdf",
                "size": 14233046,
                "path": "Publication:stappen-2019-vrs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/stappen-2019-vrs-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/stappen-2019-vrs/",
        "__class": "Publication"
    },
    {
        "id": "fraiss-2019-rtx",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "\"Focus\": Using Real-Time Ray Tracing Innovatively for Gameplay in a Puzzle Game",
        "date": "2019-12",
        "abstract": "\"Focus\" uses Real-Time Ray Tracing (or NVIDIA RTX) not only for rendering the entire scene. It also features innovative usage of Real-Time Ray Tracing for its gameplay by tracing the player's view rays in order to detect if they hit the Focussphere, focussing on which the player's goal is.\n\nThe project is available on GitHub: https://github.com/cg-tuwien/focus_rt",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 371,
            "image_height": 245,
            "name": "fraiss-2019-rtx-image.png",
            "type": "image/png",
            "size": 148109,
            "path": "Publication:fraiss-2019-rtx",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1495
        ],
        "date_end": "2019-12",
        "date_start": "2019-06",
        "matrikelnr": "01425602",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Real-Time Rendering",
            "Real-Time Ray Tracing",
            "NVIDIA RTX",
            "Game",
            "cg_base"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/focus_rt",
                "caption": "Focus on GitHub",
                "description": "Source code and additional documentation",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 371,
                "image_height": 245,
                "name": "fraiss-2019-rtx-image.png",
                "type": "image/png",
                "size": 148109,
                "path": "Publication:fraiss-2019-rtx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-image:thumb{{size}}.png"
            },
            {
                "description": "Describes some implementation details and focuses on the hardest challenges and pitfalls during development.",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fraiss-2019-rtx-Report.pdf",
                "type": "application/pdf",
                "size": 389782,
                "path": "Publication:fraiss-2019-rtx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/fraiss-2019-rtx-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/fraiss-2019-rtx/",
        "__class": "Publication"
    },
    {
        "id": "leopold-2019-vox",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adding Voxelization using the Hardware Rasterizer to a Cross-Platform C++/OpenGL Engine",
        "date": "2019-12",
        "abstract": "Two tasks were performed:\n1) Ported Engine186 to Linux\n2) Implemented a voxelization algorithm using Engine186",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "leopold-2019-vox-image.jpg",
            "type": "image/jpeg",
            "size": 156949,
            "path": "Publication:leopold-2019-vox",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1491
        ],
        "date_end": "2019-12",
        "date_start": "2018-07",
        "matrikelnr": "01327344",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "OpenGL",
            "Voxelization",
            "Linux",
            "Hardware Acceleration"
        ],
        "weblinks": [
            {
                "href": "https://github.com/lemurni/Engine186-Linux/tree/voxelization-pull-requests",
                "caption": "Project on GitHub",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "leopold-2019-vox-image.jpg",
                "type": "image/jpeg",
                "size": 156949,
                "path": "Publication:leopold-2019-vox",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-image:thumb{{size}}.png"
            },
            {
                "description": "The document describes the steps neccessary to port a specific, given, real-time rendering framework from a Microsoft Visual Studio setup to Linux.",
                "filetitle": "Linux Port",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leopold-2019-vox-Linux Port.pdf",
                "type": "application/pdf",
                "size": 76265,
                "path": "Publication:leopold-2019-vox",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Linux Port.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Linux Port:thumb{{size}}.png"
            },
            {
                "description": "Describes how a voxelization algorithm has been implemented and added to Engine186.",
                "filetitle": "Voxelization Algorithm",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leopold-2019-vox-Voxelization Algorithm.pdf",
                "type": "application/pdf",
                "size": 644379,
                "path": "Publication:leopold-2019-vox",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Voxelization Algorithm.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/leopold-2019-vox-Voxelization Algorithm:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/leopold-2019-vox/",
        "__class": "Publication"
    },
    {
        "id": "klein_2019_PHD",
        "type_id": "phdthesis",
        "tu_id": 284011,
        "repositum_id": null,
        "title": "Instant Construction of Atomistic Models for Visualization in Integrative Cell Biology",
        "date": "2019-11-23",
        "abstract": "AbstractComputational models have advanced research of integrative cell biology in variousways.  Especially in the biological mesoscale,  the scale between atoms and cellularenvironments, computational models improve the understanding and qualitative anal-ysis.   The  mesoscale  is  an  important  range,  since  it  represents  the  range  of  scalesthat are not fully accessible to a single experimental technique.  Complex molecularassemblies within this scale have been visualized with x-ray crystallography, thoughonly in isolation.  Mesoscale models shows how molecules are assembled into morecomplex subcelluar environments that orchestrate the processes of life.  The skillfulcombination of the results of imaging and experimental techniques provides a glimpseof the processes,  which are happening here.  Only recently,  biologists have startedto  unify  the  various  sources  of  information.   They  have  begun  to  computationallyassemble and subsequently visualize complex environments, such as viruses or bacteria.Currently, we live in an opportune time for researching integrative structural biologydue to several factors. First and foremost, the wealth of data, driven through sourceslike online databases, makes structural information about biological entities publiclyavailable. In addition to that, the progress of parallel processors builds the foundationto instantly construct and render large mesoscale environments in atomistic detail.Finally, new scientific advances in visualization allow the efficient rendering of complexbiological phenomena with millions of structural units.In this cumulative thesis, we propose several novel techniques that facilitate the instantconstruction of mesoscale structures.  The common methodological strategy of thesetechniques and insight from this thesis is “compute instead of store”. This approacheliminates  the  storage  and  memory  management  complexity,  and  enables  instantchanges of the constructed models. Combined, our techniques are capable of instantlyconstructing large-scale biological environments using the basic structural buildingblocks of cells.  These building blocks are mainly nucleic acids,  lipids,  and solubleproteins.   For  the  generation  of  long  linear  polymers  formed  by  nucleic  acids,  wepropose a parallel construction technique that makes use of a midpoint displacementalgorithm.  The efficient generation of lipid membranes is realized through a texturesynthesis approach that makes use of the Wang tiling concept. For the population ofsoluble proteins, we present a staged algorithm, whereby each stage is processed inparallel. We have integrated the instant construction approach into a visual environmentin order to improve several aspects. First, it allows immediate feedback on the createdix\nstructures  and  the  results  of  parameter  changes.   Additionally,  the  integration  ofconstruction in visualization builds the foundation for visualization systems that striveto construct large-scale environments on-the-fly.  Lastly,  it advances the qualitativeanalysis of biological mesoscale environments, where a multitude of synthesized modelsis required.  In order to disseminate the physiology of biological mesoscale models,we  propose  a  novel  concept  that  simplifies  the  creation  of  multi-scale  proceduralanimations.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 891,
            "image_height": 439,
            "name": "klein_2019_PHD-image.JPG",
            "type": "image/jpeg",
            "size": 144960,
            "path": "Publication:klein_2019_PHD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285
        ],
        "co_supervisor": [
            166
        ],
        "date_end": "2019",
        "date_start": "2016",
        "open_access": "yes",
        "reviewer_1": [
            592
        ],
        "reviewer_2": [
            951
        ],
        "rigorosum": "2019-11-29",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 891,
                "image_height": 439,
                "name": "klein_2019_PHD-image.JPG",
                "type": "image/jpeg",
                "size": 144960,
                "path": "Publication:klein_2019_PHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2019_PHD-thesis.pdf",
                "type": "application/pdf",
                "size": 99211024,
                "path": "Publication:klein_2019_PHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/klein_2019_PHD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PHD/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2019-MoD",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Master of Disaster: Virtual-Reality Response Training in Disaster Management",
        "date": "2019-11-15",
        "abstract": "To be prepared for flooding events, disaster response personnel has to be trained to execute developed action plans.\nWe present a flood response training system which connects an interactive flood simulation with a VR client.\nThe collaborative operator-trainee setup of our system allows a trainee to steer the remote simulation from within the virtual environment, evaluate the effectiveness of deployed protection measures, and compare the results across multiple simulation runs.\nAn operator supervises the trainee's actions from a linked desktop application to provide assistance in complex tasks.\nThe versatility of our system is demonstrated on four different city models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1200,
            "name": "kroesl-2019-MoD-image.jpg",
            "type": "image/jpeg",
            "size": 1658126,
            "path": "Publication:kroesl-2019-MoD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1387,
            1266,
            877,
            798
        ],
        "cfp": {
            "name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "2196455",
            "orig_name": "SUBMISSIONS – ACM SIGGRAPH VRCAI 2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-11-14",
        "date_to": "2019-11-16",
        "doi": "10.1145/3359997.3365729",
        "event": "VRCAI 2019",
        "isbn": "978-1-4503-7002-8",
        "journal": "Proceeding VRCAI '19 The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry Article No. 49",
        "location": "Brisbane, Australia",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "virtual reality",
            "flood simulation",
            "disaster training"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "author's version",
                "filetitle": "extended abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-MoD-extended abstract.pdf",
                "type": "application/pdf",
                "size": 4942595,
                "path": "Publication:kroesl-2019-MoD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-extended abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1200,
                "name": "kroesl-2019-MoD-image.jpg",
                "type": "image/jpeg",
                "size": 1658126,
                "path": "Publication:kroesl-2019-MoD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 8997,
                "image_height": 12720,
                "name": "kroesl-2019-MoD-poster.png",
                "type": "image/png",
                "size": 13621472,
                "path": "Publication:kroesl-2019-MoD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-MoD-video.mp4",
                "type": "video/mp4",
                "size": 81933045,
                "path": "Publication:kroesl-2019-MoD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/kroesl-2019-MoD-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-MoD/",
        "__class": "Publication"
    },
    {
        "id": "Weissenboeck_2019_PhD",
        "type_id": "phdthesis",
        "tu_id": 283986,
        "repositum_id": null,
        "title": "Visual Analysis of Methods for Processing 3D X-ray Computed Tomography Data of Advanced Composites",
        "date": "2019-11-04",
        "abstract": "Advanced composites have excellent mechanical properties at low weight and can be realized as complex components that can be manufactured quickly and cost-effectively. Due to these outstanding characteristics, these materials are used in many di˙erent areas of industry, such as aviation and automotive. Industrial 3D X-ray computed tomography (XCT) is used as a non-destructive testing (NDT) method to inspect the quality of components and to develop new advanced composite materials. XCT has the ability to determine the inner and outer geometries of a specimen non-destructively. For example, interesting features in fiber-reinforced polymers (FRPs) such as fibers, pores, and higher-density inclusions can be detected. The high resolutions of modern XCT devices generate large volume datasets, which reveal very fine structures. However, this high information content makes the exploration and analysis of the datasets with conventional methods very diÿcult and time-consuming.\nIn this doctoral thesis, typical NDT application scenarios of advanced composites using XCT are addressed and visual analysis methods and visualization techniques are designed to provide material experts with tools to improve their workflow and to eÿciently analyze the XCT data, so that domain-specific questions can be answered easily and quickly. This work describes a novel visualization system for the interactive exploration and detailed analysis of FRPs, a tool for the visual analysis and evaluation of segmentation filters to accurately determine porosity in FRPs, and a more general system for the visual comparison of interesting features in an ensemble of XCT datasets are presented. The results of the individual visualization systems are presented using real-world and simulated XCT data. The proposed visual analysis methods support the experts in their workflows by enabling improved data analysis processes that are simple, fast, and well-founded, and provide new insights into material characterization with XCT.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 233,
            "image_height": 270,
            "name": "Weissenboeck_2019_PhD-image.JPG",
            "type": "image/jpeg",
            "size": 19128,
            "path": "Publication:Weissenboeck_2019_PhD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1169
        ],
        "co_supervisor": [
            611
        ],
        "duration": " ",
        "matrikelnr": "0325215",
        "open_access": "yes",
        "reviewer_1": [
            1028
        ],
        "reviewer_2": [
            1735
        ],
        "rigorosum": "2019-12-05",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 233,
                "image_height": 270,
                "name": "Weissenboeck_2019_PhD-image.JPG",
                "type": "image/jpeg",
                "size": 19128,
                "path": "Publication:Weissenboeck_2019_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Weissenboeck_2019_PhD-PhD Thesis.pdf",
                "type": "application/pdf",
                "size": 31521977,
                "path": "Publication:Weissenboeck_2019_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-PhD Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/Weissenboeck_2019_PhD-PhD Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019_PhD/",
        "__class": "Publication"
    },
    {
        "id": "klein_2019_PGG",
        "type_id": "journalpaper",
        "tu_id": 283953,
        "repositum_id": null,
        "title": "Parallel Generation and Visualization of Bacterial Genome Structures",
        "date": "2019-11",
        "abstract": "Visualization of biological mesoscale models provides a glimpse at the inner workings of living cells. One of the most complex components of these models is DNA, which is of fundamental importance for all forms of life. Modeling the 3D structure of genomes has previously only been attempted by sequential approaches. We present the first parallel approach for the instant construction of DNA structures. Traditionally, such structures are generated with algorithms like random walk, which have inherent sequential constraints. These algorithms result in the desired structure, are easy to control, and simple to formulate. Their execution, however, is very time-consuming, as they are not designed to exploit parallelism. We propose an approach to parallelize the process, facilitating an implementation on the GPU.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1534,
            "image_height": 782,
            "name": "klein_2019_PGG-teaser.png",
            "type": "image/png",
            "size": 2567699,
            "path": "Publication:klein_2019_PGG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285,
            935,
            1260,
            1365,
            1475,
            166,
            171
        ],
        "cfp": {
            "name": "Capture.JPG",
            "type": "image/jpeg",
            "error": "0",
            "size": "167470",
            "orig_name": "Capture.JPG",
            "ext": "JPG"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "10.1111/cgf.13816",
        "event": "Pacific Graphics 2109",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1285
        ],
        "number": "7",
        "pages_from": "57",
        "pages_to": "68",
        "volume": "38",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2019_PGG-paper.pdf",
                "type": "application/pdf",
                "size": 9192118,
                "path": "Publication:klein_2019_PGG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1534,
                "image_height": 782,
                "name": "klein_2019_PGG-teaser.png",
                "type": "image/png",
                "size": 2567699,
                "path": "Publication:klein_2019_PGG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/klein_2019_PGG-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PGG/",
        "__class": "Publication"
    },
    {
        "id": "adolf-2019-jug",
        "type_id": "inproceedings",
        "tu_id": 283044,
        "repositum_id": null,
        "title": "Juggling in VR: Advantages of Immersive Virtual Reality in Juggling Learning",
        "date": "2019-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 462,
            "image_height": 279,
            "name": "adolf-2019-jug-.jpg",
            "type": "image/jpeg",
            "size": 112678,
            "path": "Publication:adolf-2019-jug",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1721,
            1720,
            1722,
            378,
            1723,
            1724
        ],
        "booktitle": "25th ACM Symposium on Virtual Reality Software and Technology",
        "cfp": {
            "name": "vrstcfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1742542",
            "orig_name": "vrstcfp.pdf",
            "ext": "pdf"
        },
        "event": "25th ACM Symposium on Virtual Reality Software and Technology",
        "lecturer": [
            378
        ],
        "open_access": "no",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": "ACM",
        "research_areas": [
            "VR"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://dl.acm.org/citation.cfm?id=3364246",
                "caption": "ACM",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 462,
                "image_height": 279,
                "name": "adolf-2019-jug-.jpg",
                "type": "image/jpeg",
                "size": 112678,
                "path": "Publication:adolf-2019-jug",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/adolf-2019-jug-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/adolf-2019-jug/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2019-PCC",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Point Clouds with Compute Shaders",
        "date": "2019-11",
        "abstract": "We propose a compute shader based point cloud rasterizer with up to 10 times higher performance than classic point-based rendering with the GL_POINT primitive. In addition to that, our rasterizer offers 5 byte depth-buffer precision with uniform or customizable distribution, and we show that it is possible to implement a highquality splatting method that blends together overlapping fragments while still maintaining higher frame-rates than the traditional approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1145,
            "image_height": 445,
            "name": "SCHUETZ-2019-PCC-image.png",
            "type": "image/png",
            "size": 90952,
            "path": "Publication:SCHUETZ-2019-PCC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            193
        ],
        "cfp": {
            "name": "cfp_siggraph_asia2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "715388",
            "orig_name": "cfp_siggraph_asia2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-11",
        "date_to": "2019-11",
        "event": "SIGGRAPH Asia",
        "isbn": "978-1-4503-6943-5/19/11",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/compute_rasterizer",
                "caption": "source",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2019-PCC-abstract.pdf",
                "type": "application/pdf",
                "size": 487892,
                "path": "Publication:SCHUETZ-2019-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1145,
                "image_height": 445,
                "name": "SCHUETZ-2019-PCC-image.png",
                "type": "image/png",
                "size": 90952,
                "path": "Publication:SCHUETZ-2019-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2019-PCC-poster.pdf",
                "type": "application/pdf",
                "size": 15302985,
                "path": "Publication:SCHUETZ-2019-PCC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/SCHUETZ-2019-PCC-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/SCHUETZ-2019-PCC/",
        "__class": "Publication"
    },
    {
        "id": "panfili-2019-VAVR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Effects of VR-Displays on Visual Acuity",
        "date": "2019-11",
        "abstract": "The perceived visual acuity (VA) of people in virtual reality (VR), using a head-mounted display (HMD), is not equal to their VA in the real world. The reason for this difference is the reduction of visual acuity in the virtual environment that is caused by various factors, such as the low resolution of the VR display. Based on those circumstances, the capacity of an individual to distinguish small details diminishes visibly. Previous studies regarding eyesight in VR have already verified how the best visual resolution in virtual environments is always lower than the natural vision and therefore this aspect could be seen as a mild vision impairment for the users of an HMD.\nThe goal of this project is to investigate how much the VA is reduced in VR and respectively whether the decrease of VA in VR is perceived similar by everyone or if visual impairments like Myopia, influence the visual perception.\nBased on a previous project, two different tests were implemented with the game engine Unreal Engine 4, a VR version for which an HTC VIVE headset was used, along with a desktop version. These tests were used to investigate the VA of the participant in a user study and the results have been compared to each other in order to find the extent to which visual impairments have an impact on VA.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1075,
            "image_height": 918,
            "name": "panfili-2019-VAVR-image.png",
            "type": "image/png",
            "size": 637497,
            "path": "Publication:panfili-2019-VAVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1658
        ],
        "date_end": "2019-11",
        "date_start": "2019-04",
        "matrikelnr": "01527648",
        "supervisor": [
            1030
        ],
        "research_areas": [
            "Perception",
            "Rendering",
            "VR"
        ],
        "keywords": [
            "virtual reality",
            "visual acuity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1075,
                "image_height": 918,
                "name": "panfili-2019-VAVR-image.png",
                "type": "image/png",
                "size": 637497,
                "path": "Publication:panfili-2019-VAVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "panfili-2019-VAVR-thesis.pdf",
                "type": "application/pdf",
                "size": 4765683,
                "path": "Publication:panfili-2019-VAVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/panfili-2019-VAVR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/panfili-2019-VAVR/",
        "__class": "Publication"
    },
    {
        "id": "WINKLER-2019-PDG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pose-Driven Generation and Optimization of Seating Furniture",
        "date": "2019-10-21",
        "abstract": "Modern furniture design systems provide seating solutions for various applications,\nranging from general purpose solutions to specific environments. The central goal of\nfurniture design is to create comfortable seating surfaces. To provide optimal comfort for\na specific person and environment, personalized furniture design is required. As comfort\nis generally seen as the user’s subjective feeling, objective comfort measures are defined\nthat approximate a person’s comfort for a given seating surface. Computational furniture\ndesign systems create seating solutions for a given scenario using interactive algorithms.\nSpecialized seating surfaces often require extensive manual design effort.\nIn this thesis, a computational furniture design framework to generate personalized\nseating surfaces is proposed. Utilizing a notation of sitting comfort based on equal\npressure distribution, our algorithm generates seating surface models fitted to a person\nin a specific pose. We introduce an automated furniture design framework able to create\ncomfortable seating surfaces for specific body shapes and poses. We developed a generic\ntemplate model capable of supporting a large variety of sitting poses and human body\nshapes that is matched to an input pose in multi stage fitting process. Furthermore, we\nintroduce a non-linear mesh optimization algorithm for further functional and visual\nimprovements.\nIn addition, the proposed framework serves as a fully automated solution to create\nspecialized control meshes usable as input meshes in other design frameworks, thus\neliminating the need for manual design effort.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 663,
            "image_height": 656,
            "name": "WINKLER-2019-PDG-image.jpg",
            "type": "image/jpeg",
            "size": 45401,
            "path": "Publication:WINKLER-2019-PDG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1422
        ],
        "date_end": "2019-10-21",
        "date_start": "2018-11",
        "diploma_examina": "2020-01-22",
        "matrikelnr": "01129264",
        "supervisor": [
            193,
            844
        ],
        "research_areas": [
            "Fabrication",
            "Modeling"
        ],
        "keywords": [
            "optimization",
            "fabrication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 663,
                "image_height": 656,
                "name": "WINKLER-2019-PDG-image.jpg",
                "type": "image/jpeg",
                "size": 45401,
                "path": "Publication:WINKLER-2019-PDG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WINKLER-2019-PDG-poster.pdf",
                "type": "application/pdf",
                "size": 3600871,
                "path": "Publication:WINKLER-2019-PDG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WINKLER-2019-PDG-thesis.pdf",
                "type": "application/pdf",
                "size": 19964084,
                "path": "Publication:WINKLER-2019-PDG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/WINKLER-2019-PDG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WINKLER-2019-PDG/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-visworkshop",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges",
        "date": "2019-10-20",
        "abstract": "The concept of multilayer networks has become recently integrated into complex systems modeling since it encapsulates a very general concept of complex relationships. Biological pathways are an exam- ple of complex real-world networks, where vertices represent biolog- ical entities, and edges indicate the underlying connectivity. For this reason, using multilayer networks to model biological knowledge allows us to formally cover essential properties and theories in the field, which also raises challenges in visualization. This is because, in the early days of pathway visualization research, only restricted types of graphs, such as simple graphs, clustered graphs, and others were adopted. In this paper, we revisit a heterogeneous definition of biological networks and aim to provide an overview to see the gaps between data modeling and visual representation. The contribution will, therefore, lie in providing guidelines and challenges of using multilayer networks as a unified data structure for the biological pathway visualization.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2019-visworkshop-image.png",
            "type": "image/png",
            "size": 22606,
            "path": "Publication:wu-2019-visworkshop",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            171
        ],
        "cfp": {
            "name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "508927",
            "orig_name": "Multilayer_Network_Visualization_Workshop_VIS_2019.pdf",
            "ext": "pdf"
        },
        "event": "Vis 2019 Workshop",
        "lecturer": [
            1464
        ],
        "location": "Canada",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [
            "Graph drawing",
            "multilayer network",
            "biological pathway"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2019-visworkshop-image.png",
                "type": "image/png",
                "size": 22606,
                "path": "Publication:wu-2019-visworkshop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2019-visworkshop-paper.pdf",
                "type": "application/pdf",
                "size": 252096,
                "path": "Publication:wu-2019-visworkshop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/wu-2019-visworkshop-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-visworkshop/",
        "__class": "Publication"
    },
    {
        "id": "Goellner_2019-ABC",
        "type_id": "inproceedings",
        "tu_id": 283368,
        "repositum_id": null,
        "title": "Virtual Reality CBRN Defence",
        "date": "2019-10-18",
        "abstract": "Over the past decade, training in virtual reality for military and disaster preparedness has been increasingly recognized as an important adjunct to traditional modalities of real-life drills. However, there are only a few existing solutions that provide immersive virtual reality training and improve learning through an increased amount of presence. In this paper, we present a novel and flexible Virtual Reality (VR) training system for military and first responders that enables realistic multi-user training in large environments. We show how the requirements of peer stakeholders for disaster relief with an explicit focus on CBRN disaster preparedness transfer to the concept, current implementation and future features of our system. The development and integration of multiple technologies allows a wide variety of interaction and collaboration within our immersive system. In addition, we demonstrate the training capabilities of our proposed system with a multi-user training scenario, simulating a CBRN crisis. Results from our technical and user evaluation with 13 experts in CBRN response from the Austrian Armed Forces (National Defence Academy & Competence Center NBC Defence) indicate strong applicability and user acceptance. Over 80% of the participants agreed “much” or “very much” that the presented system can be used to support training for CBRN-crisis preparedness.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1726,
            1727,
            1728,
            1729,
            1731,
            378
        ],
        "booktitle": "Meeting Proceedings of the Simulation and Modelling Group Symposium 171",
        "cfp": {
            "name": "Call_for_Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "409042",
            "orig_name": "Call_for_Papers.pdf",
            "ext": "pdf"
        },
        "event": "Simulation and Modelling Group Symposium 171",
        "lecturer": [
            1731,
            1726
        ],
        "location": "Vienna",
        "open_access": "yes",
        "organization": "NATO S & T",
        "pages_from": "1",
        "pages_to": "25",
        "publisher": "STO",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Virtual Reality",
            "Mixed Reality",
            "first responder training",
            "CBRN",
            "ABC"
        ],
        "weblinks": [
            {
                "href": "https://www.sto.nato.int/publications/STO%20Meeting%20Proceedings/STO-MP-MSG-171/MP-MSG-171-16.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Goellner_2019-ABC-Paper.pdf",
                "type": "application/pdf",
                "size": 797322,
                "path": "Publication:Goellner_2019-ABC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/Goellner_2019-ABC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/Goellner_2019-ABC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Goellner_2019-ABC/",
        "__class": "Publication"
    },
    {
        "id": "rinortner_susanne-2019-vpicc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Protein Interactions in Corresponding Compartments",
        "date": "2019-10-16",
        "abstract": "The visualization of networks for protein interactions is an important step to understand them. There are already many approaches for this task, but most of them do not show any information about the compartment of the cell the proteins belong to. Since the placement of proteins inside a cell is important information, because it helps to understand their interactions, this thesis proposes a method to visualize protein inside cell compartments. The objective of this project is a clear and understandable visualization of interactions between proteins and where these interactions or reactions happen inside the cell. This project uses a three-dimensional model of a cell as a base and intersects it using cutting planes. Then the intersection surface is sampled and reconstructed using Delaunay triangulation. To the mesh created by the triangulation, a force-directed algorithm is applied. This algorithm is used to scale single-cell parts in order to fit all proteins inside. This ensures that none of the cell parts get overfilled. The result is a new method that makes it possible to visualize not only protein-protein interactions but also in which compartment of the cell the proteins are located.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1650,
            "image_height": 832,
            "name": "rinortner_susanne-2019-vpicc-image.png",
            "type": "image/png",
            "size": 864375,
            "path": "Publication:rinortner_susanne-2019-vpicc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1704
        ],
        "date_end": "2019-10-15",
        "date_start": "2019-03-05",
        "matrikelnr": "01526772",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "Biological pathways"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1650,
                "image_height": 832,
                "name": "rinortner_susanne-2019-vpicc-image.png",
                "type": "image/png",
                "size": 864375,
                "path": "Publication:rinortner_susanne-2019-vpicc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "rinortner_susanne-2019-vpicc-thesis.pdf",
                "type": "application/pdf",
                "size": 21289575,
                "path": "Publication:rinortner_susanne-2019-vpicc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/rinortner_susanne-2019-vpicc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rinortner_susanne-2019-vpicc/",
        "__class": "Publication"
    },
    {
        "id": "mazurek-2018-vac",
        "type_id": "masterthesis",
        "tu_id": 282668,
        "repositum_id": null,
        "title": "Visual Active Learning for News Stream Classification",
        "date": "2019-10-10",
        "abstract": "In many domains, the sheer quantity of text documents that have to be parsed increases\ndaily. To keep up with this continuous text stream, a considerable amount of time has to be invested. We developed a classification interface for text streams that learns user-specific topics from the user’s labeling process and partitions the incoming data into these topics.\nCurrent approaches that try to derive content categorization from a vast number of unstructured text documents use pre-trained learning models to perform text classification.\nThese models assign predefined categories to the text according to its content. Depending on the use case, a user’s interests might not coincide with the given categories. The model cannot adapt to changing terminology that was not present during training. Besides these factors, users often do not trust pre-trained models as they are a black box for them.\nTo solve this problem, our application lets users define a classification problem and\ntrain a learning model through interaction with a Star Coordinates visualization. The\napproach that makes this interaction efficient is a variant of active learning. This active learning variant states that a learning model can achieve greater accuracy with fewer labeled training instances, if a user provides data purposefully from which it learns. We adapted this strategy for text stream classification by visualizing the topic affiliation probabilities of the learning model and providing novel interaction tools to enhance the model’s performance iteratively. By simulating different selection strategies common in active learning, we found that our visual selection strategies correspond closely to the classic active learning selection\nstrategies. Further, users performed on par with the best simulated selection strategies in the results from our preliminary user study. Our evaluation concludes that there are benefits from incorporating information visualization into the active learning process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 668,
            "image_height": 638,
            "name": "mazurek-2018-vac-image.png",
            "type": "image/png",
            "size": 56667,
            "path": "Publication:mazurek-2018-vac",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1364
        ],
        "date_end": "2019-10-10",
        "date_start": "2018-03",
        "matrikelnr": "0123456",
        "open_access": "yes",
        "supervisor": [
            1110,
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 668,
                "image_height": 638,
                "name": "mazurek-2018-vac-image.png",
                "type": "image/png",
                "size": 56667,
                "path": "Publication:mazurek-2018-vac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "mazurek-2018-vac-Master thesis.pdf",
                "type": "application/pdf",
                "size": 5490435,
                "path": "Publication:mazurek-2018-vac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "mazurek-2018-vac-Poster.pdf",
                "type": "application/pdf",
                "size": 1520895,
                "path": "Publication:mazurek-2018-vac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/mazurek-2018-vac-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mazurek-2018-vac/",
        "__class": "Publication"
    },
    {
        "id": "Pfahler-2016-MT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung hochdimensionaler Daten mit hierarchischer Gruppierung von Teilmengen",
        "date": "2019-10-01",
        "abstract": "The number of installed sensors to acquire data, for example electricity meters in smart grids, is increasing rapidly. The huge amount of collected data needs to be analyzed and monitored by transmission-system operators. This task is supported by visual analytics techniques, but traditional multi-dimensional data visualization techniques do not scale\nvery well for high-dimensional data. The main contribution of this thesis is a framework to efficiently examine and compare such high-dimensional data. The key idea is to divide the data by the semantics of the underlying dimensions into groups. Domain experts are familiar with the meta-information of the data and are able to structure these groups into a hierarchy. Various statistical properties are calculated from the subdivided data. These\nare then visualized by the proposed system using appropriate means. The hierarchy and\nthe visualizations of the calculated statistical values are displayed in a tabular layout.\nThe rows contain the subdivided data and the columns visualize their statistics. Flexible interaction possibilities with the visual representation help the experts to fulfill their analysis tasks. The tasks include searching for structures, sorting by statistical properties, identifying correlations of the subdivided data, and interactively subdivide or combine\nthe data. A usage scenario evaluates the design of the framework with a data set of the target domain in the energy sector.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 459,
            "image_height": 234,
            "name": "Pfahler-2016-MT-image.JPG",
            "type": "image/jpeg",
            "size": 29864,
            "path": "Publication:Pfahler-2016-MT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1283
        ],
        "date_end": "2019-10-01",
        "date_start": "2016-09",
        "matrikelnr": "1126287 ",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 459,
                "image_height": 234,
                "name": "Pfahler-2016-MT-image.JPG",
                "type": "image/jpeg",
                "size": 29864,
                "path": "Publication:Pfahler-2016-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pfahler-2016-MT-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 6056490,
                "path": "Publication:Pfahler-2016-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Pfahler-2016-MT-Poster.pdf",
                "type": "application/pdf",
                "size": 545027,
                "path": "Publication:Pfahler-2016-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/Pfahler-2016-MT-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Pfahler-2016-MT/",
        "__class": "Publication"
    },
    {
        "id": "Edi_2019_10_01",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Wide Role of Informatics at Universities ",
        "date": "2019-10-01",
        "abstract": "In this report, we discuss the results of the online survey conducted by Informatics Europe Working Group on the Wide Role of Informatics at Universities. The main goals were to understand the value universities place on interdisciplinary research and teaching, what happens in practice with hiring and supporting interdisciplinary academics, and what structures are in place to support interdisciplinary work. We also examined Data Science’s impact in detail, given its rapid rise and importance. Forty eight universities from nineteen European countries have participated in the survey providing answers on these strategic topics.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 343,
            "image_height": 154,
            "name": "Edi_2019_10_01-image.JPG",
            "type": "image/jpeg",
            "size": 19902,
            "path": "Publication:Edi_2019_10_01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1737,
            1738,
            1739,
            166
        ],
        "open_access": "yes",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 343,
                "image_height": 154,
                "name": "Edi_2019_10_01-image.JPG",
                "type": "image/jpeg",
                "size": 19902,
                "path": "Publication:Edi_2019_10_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Edi_2019_10_01-Report.pdf",
                "type": "application/pdf",
                "size": 2014768,
                "path": "Publication:Edi_2019_10_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/Edi_2019_10_01-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Edi_2019_10_01/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2019-manylands",
        "type_id": "journalpaper",
        "tu_id": 282817,
        "repositum_id": null,
        "title": "ManyLands: A Journey Across 4D Phase Space of Trajectories",
        "date": "2019-10",
        "abstract": "Mathematical models of ordinary differential equations are used to describe and understand biological phenomena. These models are dynamical systems that often describe the time evolution of more than three variables, i.e., their dynamics take place in a multi-dimensional space, called the phase space. Currently, mathematical domain scientists use plots of typical trajectories in the phase space to analyze the qualitative behavior of dynamical systems. These plots are called phase portraits and they perform well for 2D and 3D dynamical systems. However, for 4D, the visual exploration of trajectories becomes challenging, as simple subspace juxtaposition is not sufficient. We propose ManyLands to support mathematical domain scientists in analyzing 4D models of biological systems. By describing the subspaces as Lands, we accompany domain scientists along a continuous journey through 4D HyperLand, 3D SpaceLand, and 2D FlatLand, using seamless transitions. The Lands are also linked to 1D TimeLines. We offer an additional dissected view of trajectories that relies on small-multiple compass-alike pictograms for easy navigation across subspaces and trajectory segments of interest. We show three use cases of 4D dynamical systems from cell biology and biochemistry. An informal evaluation with mathematical experts confirmed that ManyLands helps them to visualize and analyze complex 4D dynamics, while facilitating mathematical experiments and simulations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4939,
            "image_height": 2158,
            "name": "amirkhanov-2019-manylands-Teaser.png",
            "type": "image/png",
            "size": 1836064,
            "path": "Publication:amirkhanov-2019-manylands",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            1692,
            418,
            817,
            869,
            166,
            1410
        ],
        "cfp": {
            "name": "Pacific Graphics 2019 - call for papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "1632206",
            "orig_name": "Pacific Graphics 2019 - call for papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-01-01",
        "date_to": "2019-06-07",
        "doi": "10.1111/cgf.13828",
        "event": "Pacific Graphics 2019",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1170
        ],
        "location": "Seoul, South Korea",
        "number": "7",
        "pages_from": "191",
        "pages_to": "202",
        "volume": "38",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "Visual analytics",
            "Web-based interaction"
        ],
        "weblinks": [
            {
                "href": "https://amirkhanov.net/manylands",
                "caption": "ManyLands repository",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13828",
                "caption": "E-print",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2019-manylands-Paper.pdf",
                "type": "application/pdf",
                "size": 2824013,
                "path": "Publication:amirkhanov-2019-manylands",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4939,
                "image_height": 2158,
                "name": "amirkhanov-2019-manylands-Teaser.png",
                "type": "image/png",
                "size": 1836064,
                "path": "Publication:amirkhanov-2019-manylands",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video demo",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2019-manylands-Video demo.mp4",
                "type": "video/mp4",
                "size": 116969399,
                "path": "Publication:amirkhanov-2019-manylands",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/amirkhanov-2019-manylands-Video demo:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/amirkhanov-2019-manylands/",
        "__class": "Publication"
    },
    {
        "id": "Arleo-2019-vis",
        "type_id": "inproceedings",
        "tu_id": 280935,
        "repositum_id": null,
        "title": "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge",
        "date": "2019-10",
        "abstract": "Investment planning requires knowledge of the financial landscape on a large scale, both in terms of geo-spatial and industry sector distribution. There is plenty of data available, but it is scattered across heterogeneous sources (newspapers, open data, etc.), which makes it difficult for financial analysts to understand the big picture. In this paper, we present Sabrina, a financial data analysis and visualization approach that incorporates a pipeline for the generation of firm-to-firm financial transaction networks. The pipeline is capable of fusing the ground truth on individual firms in a region with (incremental) domain knowledge on general macroscopic aspects of the economy. Sabrina unites these heterogeneous data sources within  a uniform visual interface that enables the visual analysis process. In a user study with three domain experts, we illustrate the usefulness of Sabrina, which eases their analysis process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The different visualizations composing the Sabrina system",
            "filetitle": "sab_tease_nolabels",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4770,
            "image_height": 2496,
            "name": "Arleo-2019-vis-sab_tease_nolabels.png",
            "type": "image/png",
            "size": 3157916,
            "path": "Publication:Arleo-2019-vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1705,
            1706,
            1558,
            1707,
            1708,
            1598,
            1709,
            966,
            193,
            1072
        ],
        "booktitle": "IEEE VIS 2019",
        "cfp": {
            "name": "VIS 2019-Short Papers Call for Participation.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "450180",
            "orig_name": "VIS 2019-Short Papers Call for Participation.pdf",
            "ext": "pdf"
        },
        "event": " IEEE Visualization Conference (VIS)",
        "lecturer": [
            1705
        ],
        "location": "Vancouver, British Columbia, Canada",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Visualization",
            "Visual Analytics"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/1908.07479",
                "caption": "paper",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "The different visualizations composing the Sabrina system",
                "filetitle": "sab_tease_nolabels",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4770,
                "image_height": 2496,
                "name": "Arleo-2019-vis-sab_tease_nolabels.png",
                "type": "image/png",
                "size": 3157916,
                "path": "Publication:Arleo-2019-vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/Arleo-2019-vis-sab_tease_nolabels:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Arleo-2019-vis/",
        "__class": "Publication"
    },
    {
        "id": "ESCHNER-2019-GDT",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Synthetic Training Data for Video Surveillance Applications",
        "date": "2019-10",
        "abstract": "As the demand for ever-more capable computer vision systems has been increasing in\nrecent years, there is a growing need for labeled ground-truth data for such systems.\nThese ground-truth datasets are used for the training and evaluation of computer vision\nalgorithms and are usually created by manually annotating images or image sequences\nwith semantic labels. Synthetic video generation provides an alternative approach to\nthe problem of generating labels. Here, the label data and the image sequences can be\ncreated simultaneously by utilizing a 3D render engine. Many of the existing frameworks\nfor generating such synthetic datasets focus the context of autonomous driving, where\nvast amounts of labeled input data are needed.\nIn this thesis an implementation of a synthetic data generation framework for evaluating\ntracking algorithms in the context of video surveillance is presented. This framework uses\na commercially available game engine as a renderer to generate synthetic video clips that\ndepict different scenarios that can occur in a video surveillance setting. These scenarios\ninclude a multitude of interactions of different characters in a reconstructed environment.\nA collection of such synthetic clips is then compared to real videos by using it as an input\nfor two different tracking algorithms. While producing synthetic ground-truth data in\nreal time using a game engine is less work intensive than manual annotation, the results\nof the evaluation show that both tracking algorithms perform better on real data. This\nsuggests that the synthetic data coming from the framework is limited in its suitability\nfor evaluating tracking algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 639,
            "image_height": 359,
            "name": "ESCHNER-2019-GDT-image.jpg",
            "type": "image/jpeg",
            "size": 35929,
            "path": "Publication:ESCHNER-2019-GDT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1653
        ],
        "date_end": "2019-10-10",
        "date_start": "2019-03",
        "matrikelnr": "01633402",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "neural networks"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 639,
                "image_height": 359,
                "name": "ESCHNER-2019-GDT-image.jpg",
                "type": "image/jpeg",
                "size": 35929,
                "path": "Publication:ESCHNER-2019-GDT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ESCHNER-2019-GDT-thesis.pdf",
                "type": "application/pdf",
                "size": 5814823,
                "path": "Publication:ESCHNER-2019-GDT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/ESCHNER-2019-GDT-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ESCHNER-2019-GDT/",
        "__class": "Publication"
    },
    {
        "id": "rumpler_2019_PPC",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Rendering of Massive Point Clouds in WebGL 2.0 Compute",
        "date": "2019-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1660
        ],
        "date_end": "2019",
        "date_start": "2019",
        "matrikelnr": "01526299",
        "supervisor": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/rumpler_2019_PPC/",
        "__class": "Publication"
    },
    {
        "id": "Rumpler-2019-PPC",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Rendering of Massive Point Clouds in WebGL 2.0 Compute",
        "date": "2019-10",
        "abstract": "Rendering large point clouds is a computationally expensive task, and various optimizations are required to achieve the desired performance for realtime applications. It is typical to store the point data hierarchically to enable fast retrieval and visibility testing in point clouds that consist of billions of points. However, rendering the selected nodes is still a demanding task for the graphics units on modern devices. Especially on mobile devices rendering millions of points every frame is often not possible with sufficient frame rates. Techniques that progressively render the points of a point cloud were proposed to reduce the load on the GPU. The results of the previous frames are recycled, and details are accumulated over multiple frames. Combining hierarchical structures with progressive rendering, therefore, houses an exciting opportunity for increasing the performance for massive point clouds.\n\n\nThis work investigates a novel approach to render massive point clouds progressively in the browser by transforming the hierarchical structure locally into an unstructured pool of points. The pool is then rendered progressively with compute shaders and continuously updated with new nodes from the octree.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1660
        ],
        "date_end": "2019-10",
        "date_start": "2019-07",
        "matrikelnr": "01526299",
        "supervisor": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point cloud",
            "progressive rendering",
            "webgl"
        ],
        "weblinks": [
            {
                "href": "https://github.com/ifl0w/potree",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rumpler-2019-PPC-thesis.pdf",
                "type": "application/pdf",
                "size": 7887821,
                "path": "Publication:Rumpler-2019-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/Rumpler-2019-PPC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/Rumpler-2019-PPC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rumpler-2019-PPC/",
        "__class": "Publication"
    },
    {
        "id": "sietzen-ifv-2019",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Feature Visualization in the Browser",
        "date": "2019-10",
        "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 759,
            "image_height": 614,
            "name": "sietzen-ifv-2019-screenshot.png",
            "type": "image/png",
            "size": 293509,
            "path": "Publication:sietzen-ifv-2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1373,
            1110
        ],
        "booktitle": "Proceedings of the Workshop on Visualization for AI explainability (VISxAI)",
        "cfp": {
            "name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "409701",
            "orig_name": "2nd VISxAI Workshop at IEEE VIS 2019.pdf",
            "ext": "pdf"
        },
        "editor": "El-Assady, Mennatallah and Chau, Duen Horng (Polo) and Hohman, Fred and Perer, Adam and Strobelt, Hendrik and Viégas, Fernanda",
        "event": "Workshop on Visualization for AI explainability (VISxAI) at IEEE VIS 2019",
        "lecturer": [
            1373
        ],
        "location": "Vancouver",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://visxai.stefansietzen.at/",
                "caption": "Explainable URL",
                "description": "Peer-reviewed submission for the workshop. ",
                "main_file": 1
            },
            {
                "href": "https://visxai.io/",
                "caption": "VISxAI Workshop 2019",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 759,
                "image_height": 614,
                "name": "sietzen-ifv-2019-screenshot.png",
                "type": "image/png",
                "size": 293509,
                "path": "Publication:sietzen-ifv-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-ifv-2019-video.mp4",
                "type": "video/mp4",
                "size": 51123687,
                "path": "Publication:sietzen-ifv-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/sietzen-ifv-2019-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-ifv-2019/",
        "__class": "Publication"
    },
    {
        "id": "grossmann_2019_pelvisrunner_poster",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pelvis Runner: A Visual Analytics Tool for Pelvic Organ Variability Exploration in Prostate Cancer Cohorts",
        "date": "2019-10",
        "abstract": "Pelvis Runner is a visual analysis tool for the exploration of the variability of segmented pelvic organs in multiple patients, across the course of radiation therapy treatment. Radiation treatment is performed through the course of weeks, during which the anatomy of the patient changes. This variability may be responsible for side effects, due to the potential over-irradiation of healthy tissues. Exploring and analyzing organ variability in patient cohorts can help clinical researchers to design more robust treatment strategies. Our work addresses, first, the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view for the entire cohort. Second, local exploration and analysis of the variability are provided on-demand in anatomical 2D/3D views for cohort partitions. The Pelvis Runner has been evaluated by two clinical researchers and is a promising basis for the exploration of pelvic organ variability.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366,
            1444,
            1445,
            1568,
            1569,
            166,
            1410
        ],
        "cfp": {
            "name": "call_for_posters.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "179727",
            "orig_name": "call_for_posters.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-10-20",
        "date_to": "2019-10-25",
        "event": "IEEE VIS VAST",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann_2019_pelvisrunner_poster-poster.pdf",
                "type": "application/pdf",
                "size": 1938168,
                "path": "Publication:grossmann_2019_pelvisrunner_poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/grossmann_2019_pelvisrunner_poster-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/grossmann_2019_pelvisrunner_poster-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/grossmann_2019_pelvisrunner_poster/",
        "__class": "Publication"
    },
    {
        "id": "TR 193-02-2019-4",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures",
        "date": "2019-10",
        "abstract": "Research in rendering large point clouds traditionally focused on the generation and use of hierarchical acceleration structures that allow systems to load and render the smallest fraction of the data with the largest impact on the output. The generation of these structures is slow and time consuming, however, and therefore ill-suited for tasks such as quickly looking at scan data stored in widely used unstructured file formats, or to immediately display the results of point-cloud processing tasks.\n   \n\nWe propose a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate hierarchical acceleration structures in advance. Our method supports data sets with a large amount of attributes per point, achieves a load performance of up to 100 million points per second, displays already loaded data in real time while remaining data is still being loaded, and is capable of rendering up to one billion points using an on-the-fly generated shuffled vertex buffer as its data structure, instead of slow-to-generate hierarchical structures. Shuffling is done during loading in order to allow efficiently filling holes with random subsets, which leads to a higher quality convergence behavior. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "TR 193-02-2019-4-.jpg",
            "type": "image/jpeg",
            "size": null,
            "path": "Publication:TR 193-02-2019-4",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-02-2019-4/TR 193-02-2019-4-.jpg",
            "thumb_image_sizes": []
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            193,
            1700,
            1701
        ],
        "number": "TR-193-02-2019-4",
        "open_access": "yes",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point clouds",
            "progressive rendering"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/skye",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=6_ivIcynok8",
                "caption": "Video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "TR 193-02-2019-4-.jpg",
                "type": "image/jpeg",
                "size": null,
                "path": "Publication:TR 193-02-2019-4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-02-2019-4/TR 193-02-2019-4-.jpg",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR 193-02-2019-4-preprint.pdf",
                "type": "application/pdf",
                "size": null,
                "path": "Publication:TR 193-02-2019-4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-02-2019-4/TR 193-02-2019-4-preprint.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-02-2019-4/",
        "__class": "Publication"
    },
    {
        "id": "TR 193-2-2019-4",
        "type_id": "misc",
        "tu_id": 282669,
        "repositum_id": null,
        "title": "Progressive Real-Time Rendering of One Billion Points Without Hierarchical Acceleration Structures",
        "date": "2019-10",
        "abstract": "Research in rendering large point clouds traditionally focused on the generation and use of hierarchical acceleration structures that allow systems to load and render the smallest fraction of the data with the largest impact on the output. The generation of these structures is slow and time consuming, however, and therefore ill-suited for tasks such as quickly looking at scan data stored in widely used unstructured file formats, or to immediately display the results of point-cloud processing tasks.\n\n   \nWe propose a progressive method that is capable of rendering any point cloud that fits in GPU memory in real time, without the need to generate hierarchical acceleration structures in advance. Our method supports data sets with a large amount of attributes per point, achieves a load performance of up to 100 million points per second, displays already loaded data in real time while remaining data is still being loaded, and is capable of rendering up to one billion points using an on-the-fly generated shuffled vertex buffer as its data structure, instead of slow-to-generate hierarchical structures. Shuffling is done during loading in order to allow efficiently filling holes with random subsets, which leads to a higher quality convergence behavior. ",
        "authors_et_al": false,
        "substitute": "schuetz-2020-PPC",
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4061,
            "image_height": 1183,
            "name": "TR 193-2-2019-4-.jpg",
            "type": "image/jpeg",
            "size": 376597,
            "path": "Publication:TR 193-2-2019-4",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1700,
            1701,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/skye",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=6_ivIcynok8",
                "caption": "Video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4061,
                "image_height": 1183,
                "name": "TR 193-2-2019-4-.jpg",
                "type": "image/jpeg",
                "size": 376597,
                "path": "Publication:TR 193-2-2019-4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR 193-2-2019-4-preprint.pdf",
                "type": "application/pdf",
                "size": 27534759,
                "path": "Publication:TR 193-2-2019-4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/TR 193-2-2019-4-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/TR 193-2-2019-4/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2019-rld",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparison of Radial and Linear Charts for Visualizing Daily Patterns",
        "date": "2019-10",
        "abstract": "Radial charts are generally considered less effective than linear charts. Perhaps the only exception is in visualizing periodical time-dependent data, which is believed to be naturally supported by the radial layout. It has been demonstrated that the\ndrawbacks of radial charts outweigh the benefits of this natural mapping. Visualization of daily patterns, as a special case, has not been systematically evaluated using radial charts. In contrast to yearly or weekly recurrent trends, the analysis of daily patterns on a radial chart may benefit from our trained skill on reading radial clocks that are ubiquitous in our culture. In a crowd-sourced experiment with 92 non-expert users, we evaluated the accuracy, efficiency, and subjective ratings of radial and linear charts for visualizing daily traffic accident patterns. We systematically compared juxtaposed 12-hours variants and single 24-hours variants for both layouts in four low-level tasks and one high-level interpretation task. Our results show that over all tasks, the most elementary 24-hours linear bar chart is most accurate and efficient and is also preferred by the users. This provides strong evidence for the use of linear layouts – even for visualizing periodical daily patterns.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Daily patterns visualized in a 24-hours radial chart. ",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 497,
            "image_height": 474,
            "name": "waldner-2019-rld-teaser.png",
            "type": "image/png",
            "size": 53565,
            "path": "Publication:waldner-2019-rld",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1121,
            581,
            1204,
            1122,
            235
        ],
        "cfp": {
            "name": "IEEE VIS 2019 Call For Participation.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "545751",
            "orig_name": "IEEE VIS 2019 Call For Participation.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-10-20",
        "date_to": "2019-10-25",
        "doi": "10.1109/TVCG.2019.2934784",
        "event": "IEEE VIS InfoVis",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1110
        ],
        "location": "Vancouver, Canada",
        "pages_from": "1033",
        "pages_to": "1042",
        "volume": "26",
        "research_areas": [
            "InfoVis",
            "Perception"
        ],
        "keywords": [
            "radial charts",
            "time series data",
            "daily patterns",
            "crowd-sourced experiment"
        ],
        "weblinks": [
            {
                "href": "https://vimeo.com/371939694",
                "caption": "Presentation recording from IEEE VIS 2019 (VGTC Vimeo)",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2019-rld-paper.pdf",
                "type": "application/pdf",
                "size": 892625,
                "path": "Publication:waldner-2019-rld",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-paper:thumb{{size}}.png"
            },
            {
                "description": "Powerpoint slides of presentation at IEEE VIS 2019 (do not contain animations and videos). ",
                "filetitle": "slides ",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2019-rld-slides .pdf",
                "type": "application/pdf",
                "size": 12853249,
                "path": "Publication:waldner-2019-rld",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides .pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-slides :thumb{{size}}.png"
            },
            {
                "description": "Supplemental information about the user study",
                "filetitle": "supplement",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2019-rld-supplement.pdf",
                "type": "application/pdf",
                "size": 2511402,
                "path": "Publication:waldner-2019-rld",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-supplement:thumb{{size}}.png"
            },
            {
                "description": "Daily patterns visualized in a 24-hours radial chart. ",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 497,
                "image_height": 474,
                "name": "waldner-2019-rld-teaser.png",
                "type": "image/png",
                "size": 53565,
                "path": "Publication:waldner-2019-rld",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2019-rld-video preview.mp4",
                "type": "video/mp4",
                "size": 3082628,
                "path": "Publication:waldner-2019-rld",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/waldner-2019-rld-video preview:video.mp4"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldner-2019-rld/",
        "__class": "Publication"
    },
    {
        "id": "li-2019-gdc",
        "type_id": "unknown",
        "tu_id": 282819,
        "repositum_id": null,
        "title": "World map of recipes",
        "date": "2019-09-19",
        "abstract": "This poster visualises the Meal Ingredients dataset with 151 international food recipes and their corresponding ingredients. The underlying graph layout in the image is automatically generated using a new multi-level force-based algorithm developed by the authors, but not yet published. The background flags were added manually to identify the countries from the data set. The algorithm aims to untangle mutually nested subgraphs by harmonizing the available space for the labels and improving edge visibility by duplicating high-frequency ingredient nodes. Ingredients occurring in multiple countries also receive at least one node per country. The idea is inspired by map diagrams, which often show the semantics enclosed by country boundaries. In our diagram, countries are represented by octolinear polygons, and are placed next to each other if they share many ingredients in their recipes. The actual placement of the countries by the algorithm is entirely data driven. As we can see, this design naturally gathers countries that are located on the same continent, due to the accessibility of the ingredients. The names of recipes are visualized using textual labels with sharp corners, and they are enclosed by the country polygon they belong to. Contrarily, ingredients are represented by textual labels with rounded corners. Moreover, ingredients are visually classified into common (pink) and special (blue) ingredients based on their frequency in the dataset. \nFor visually analyzing the data set, we can generate smoothed spanning trees along the boundaries of an (invisible) Voronoi diagram of all textual labels to connect identical nodes to visually integrate all copies of one ingredient. For example, we highlighted the ingredient \"soy sauce\", one of the most commonly used ingredients in Asia, to discover that it has spread to the UK as well. We can also perform visual queries for related recipes based on sharing rare ingredients. For example, the British dish \"steak and kidney pie\" is highlighted in green together with three blue spanning trees connecting all recipes related to that dish via at least one of its special (blue) ingredients.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "li-2019-gdc-image.png",
            "type": "image/png",
            "size": 109353,
            "path": "Publication:li-2019-gdc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1698,
            1699,
            1579,
            171,
            1464
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "1st Place Award, Creative Topic-\"Meal Ingredients\", of the 28th Annual Graph Drawing Contest",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "li-2019-gdc-image.png",
                "type": "image/png",
                "size": 109353,
                "path": "Publication:li-2019-gdc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "li-2019-gdc-poster.pdf",
                "type": "application/pdf",
                "size": 1508060,
                "path": "Publication:li-2019-gdc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/li-2019-gdc-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/li-2019-gdc/",
        "__class": "Publication"
    },
    {
        "id": "korpitsch_thorsten-2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimising 3D Mesh Unfoldings with Additional Gluetags using Simulated Annealing",
        "date": "2019-09-17",
        "abstract": "3D Mesh Unfolding is the process of transforming a 3D mesh into a 2D planar patch. This\ntechnique can be used to create papercraft models, where 3D objects get reconstructed\nfrom planar paper or paper-like material. As the reconstruction of unfolded models\ncan be very hard, users need indicators of which faces have to be glued together. In\nthis thesis, Gluetags are introduced to give users extra space to apply glue to ease\nthe reconstruction. The addition of these Gluetags increases the difficulty of finding\noverlap-free unfoldings that can be cut out of a single piece of paper to reconstruct the\nmodel. The amount of possible unfoldings increases while the solution space shrinks when\nGluetags are added. A minimum spanning tree approach is used to compute possible\nunfoldings, whereas simulated annealing is used to find an unfolding with no overlaps.\nQuantitative experiments suggest that the proposed method can yield fast results for\nsmaller meshes. Results for larger meshes are achievable within an increased timeframe,\nbut they also show time limitations for this approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1330,
            "image_height": 987,
            "name": "korpitsch_thorsten-2019-image.png",
            "type": "image/png",
            "size": 828356,
            "path": "Publication:korpitsch_thorsten-2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1697
        ],
        "date_end": "2019-09-27",
        "date_start": "2019-03-22",
        "matrikelnr": "01529243",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "mesh unfolding"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1330,
                "image_height": 987,
                "name": "korpitsch_thorsten-2019-image.png",
                "type": "image/png",
                "size": 828356,
                "path": "Publication:korpitsch_thorsten-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch_thorsten-2019-paper.pdf",
                "type": "application/pdf",
                "size": 2650367,
                "path": "Publication:korpitsch_thorsten-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "korpitsch_thorsten-2019-slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 9566545,
                "path": "Publication:korpitsch_thorsten-2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/korpitsch_thorsten-2019-slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/korpitsch_thorsten-2019/",
        "__class": "Publication"
    },
    {
        "id": "zsolnaifeher-2019-pme",
        "type_id": "techreport",
        "tu_id": 282833,
        "repositum_id": null,
        "title": "Photorealistic Material Editing Through Direct Image Manipulation",
        "date": "2019-09-12",
        "abstract": "Creating photorealistic materials for light transport algorithms requires carefully fine-tuning a set of material properties to achieve a desired artistic effect. This is typically a lengthy process that involves a trained artist with specialized knowledge. In this work, we present a technique that aims to empower novice and intermediate-level users to synthesize high-quality photorealistic materials by only requiring basic image processing knowledge. In the proposed workflow, the user starts with an input image and applies a few intuitive transforms (e.g., colorization, image inpainting) within a 2D image editor of their choice, and in the next step, our technique produces a photorealistic result that approximates this target image. Our method combines the advantages of a neural network-augmented optimizer and an encoder neural network to produce high-quality output results within 30 seconds. We also demonstrate that it is resilient against poorly-edited target images and propose a simple extension to predict image sequences with a strict time budget of 1-2 seconds per image.\n\nVideo: https://www.youtube.com/watch?v=8eNHEaxsj18",
        "authors_et_al": false,
        "substitute": "zsolnaifeher-2020-pme",
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 883,
            "image_height": 934,
            "name": "zsolnaifeher-2019-pme-image.jpg",
            "type": "image/jpeg",
            "size": 239774,
            "path": "Publication:zsolnaifeher-2019-pme",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073,
            194,
            193
        ],
        "number": "TR-193-02-2019-3",
        "open_access": "yes",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "neural rendering",
            "neural networks",
            "photorealistic rendering",
            "photorealistic material editing"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/photorealistic-material-editing/",
                "caption": "Source code",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=8eNHEaxsj18",
                "caption": "Supplementary video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 883,
                "image_height": 934,
                "name": "zsolnaifeher-2019-pme-image.jpg",
                "type": "image/jpeg",
                "size": 239774,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2768,
                "image_height": 2959,
                "name": "zsolnaifeher-2019-pme-image2.jpg",
                "type": "image/jpeg",
                "size": 976205,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "zsolnaifeher-2019-pme-image3.jpg",
                "type": "image/jpeg",
                "size": 631004,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image3:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image4",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "zsolnaifeher-2019-pme-image4.jpg",
                "type": "image/jpeg",
                "size": 666732,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image4.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image4:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image5",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3840,
                "image_height": 2160,
                "name": "zsolnaifeher-2019-pme-image5.jpg",
                "type": "image/jpeg",
                "size": 616892,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image5.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-image5:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnaifeher-2019-pme-paper.pdf",
                "type": "application/pdf",
                "size": 11711324,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementary materials",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnaifeher-2019-pme-supplementary materials.pdf",
                "type": "application/pdf",
                "size": 328359,
                "path": "Publication:zsolnaifeher-2019-pme",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-supplementary materials.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/zsolnaifeher-2019-pme-supplementary materials:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PathSpace"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/zsolnaifeher-2019-pme/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2019-CGSG",
        "type_id": "talk",
        "tu_id": 282835,
        "repositum_id": null,
        "title": "Computer Graphics for Serious Games",
        "date": "2019-09-04",
        "abstract": "10 years ago, the focus of computer graphics was mostly the quality and speed of image generation, and serious games set in realistic environments profited from these advances. Meanwhile, commercial rendering engines leave little to be desired, but computer graphics research has opened other doors which might be relevant for application in serious games. In this talk, I will present some of our latest advances in computer graphics in simulation, rendering and content generation. I will show how we can now simulate visual impairments in virtual reality, which could be used in games to create empathy for people affected by these impairments. I will describe how we have advanced point-based rendering techniques to allow incorporating real environments into rendering applications with basically no preprocessing. On the other hand, virtual environments for serious games could be created efficiently by collaborative crowed-sourced procedural modeling. Finally, efficient simulations of floods and heavy rainfall may not only help experts, but might be the basis of serious games to increase public awareness of natural disasters and the effects of climate change.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2019-09-04",
        "date_to": "2019-09-06",
        "event": "11th International Conference on Virtual Worlds and Games for Serious Applications",
        "location": "Vienna, Austria",
        "open_access": "no",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "serious games"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WIMMER-2019-CGSG/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-vcbm",
        "type_id": "unknown",
        "tu_id": null,
        "repositum_id": null,
        "title": "Map of Metabolic Harmony",
        "date": "2019-09-03",
        "abstract": "As the human body is healthy when the\nmetabolic harmony is maintained, the human metabolic pathways are\ninterpretable when its visual representation is harmonized. We\ndeveloped an automatic approach to hierarchically decompose the screen\nspace to multiple functional regions and embed sub-pathways into their\ncorresponding regions to unveil complex metabolite relationships.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2019-vcbm-image.png",
            "type": "image/png",
            "size": 109418,
            "path": "Publication:wu-2019-vcbm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            171
        ],
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image-full",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 8878,
                "image_height": 6919,
                "name": "wu-2019-vcbm-image-full.png",
                "type": "image/png",
                "size": 15607607,
                "path": "Publication:wu-2019-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image-full:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2019-vcbm-image.png",
                "type": "image/png",
                "size": 109418,
                "path": "Publication:wu-2019-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/wu-2019-vcbm-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-vcbm/",
        "__class": "Publication"
    },
    {
        "id": "Sbardellati-2019-vcbm",
        "type_id": "inproceedings",
        "tu_id": 282838,
        "repositum_id": null,
        "title": "Interactive Exploded Views for Molecular Structures",
        "date": "2019-09-03",
        "abstract": "We propose an approach to interactively create exploded views of molecular structures with the goal to help domain experts in their design process and provide them with a meaningful visual representation of component relationships. Exploded views are excellently suited to manage visual occlusion of structure components, which is one of the main challenges when visualizing complex 3D data. In this paper, we discuss four key parameters of an exploded view: explosion distance, direction, order, and the selection of explosion components. We propose two strategies, namely the structure-derived exploded view and the interactive free-form exploded view, for computing these four parameters systematically. The first strategy allows scientists to automatically create exploded views by computing the parameters from the given object structures. The second strategy further supports them to design and customize detailed explosion paths through user interaction. Our approach features the possibility to animate exploded views, to incorporate ease functions into these animations and to display the explosion path of components via arrows. Finally, we demonstrate three use cases with various challenges that we investigated in collaboration with a domain scientist. Our approach, therefore, provides interesting new ways of investigating and presenting the design layout and composition of complex molecular structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "Sbardellati-2019-vcbm-image.png",
            "type": "image/png",
            "size": 46683,
            "path": "Publication:Sbardellati-2019-vcbm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1555,
            1263,
            1464,
            166,
            1473,
            171
        ],
        "booktitle": "Proceedings of the 9th Eurographics Workshop on Visual Computing for Biology and Medicine",
        "cfp": {
            "name": "vcbm2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "270183",
            "orig_name": "vcbm2019.pdf",
            "ext": "pdf"
        },
        "event": "VCBM 2019",
        "lecturer": [
            1555
        ],
        "pages_from": "103",
        "pages_to": "112",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "Sbardellati-2019-vcbm-image.png",
                "type": "image/png",
                "size": 46683,
                "path": "Publication:Sbardellati-2019-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sbardellati-2019-vcbm-paper.pdf",
                "type": "application/pdf",
                "size": 9377764,
                "path": "Publication:Sbardellati-2019-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sbardellati-2019-vcbm-video.mp4",
                "type": "video/mp4",
                "size": 164367569,
                "path": "Publication:Sbardellati-2019-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/Sbardellati-2019-vcbm-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Sbardellati-2019-vcbm/",
        "__class": "Publication"
    },
    {
        "id": "raidou_2019_pelvisrunner",
        "type_id": "inproceedings",
        "tu_id": 283994,
        "repositum_id": null,
        "title": "Pelvis Runner: Visualizing Pelvic Organ Variability in a Cohort of Radiotherapy Patients",
        "date": "2019-09",
        "abstract": "In radiation therapy, anatomical changes in the patient might lead to deviations between the planned and delivered dose--including inadequate tumor coverage, and overradiation of healthy tissues. Exploring and analyzing anatomical changes throughout the entire treatment period can help clinical researchers to design appropriate treatment strategies, while identifying patients that are more prone to radiation-induced toxicity. We present the Pelvis Runner, a novel application for exploring the variability of segmented pelvic organs in multiple patients, across the entire radiation therapy treatment process. Our application addresses (i) the global exploration and analysis of pelvic organ shape variability in an abstracted tabular view and (ii) the local exploration and analysis thereof in anatomical 2D/3D views, where comparative and ensemble visualizations are integrated. The workflow is based on available retrospective cohort data, which incorporate segmentations of the bladder, the prostate, and the rectum through the entire radiation therapy process. The Pelvis Runner is applied to four usage scenarios, which were conducted with two clinical researchers, i.e., medical physicists. Our application provides clinical researchers with promising support in demonstrating the significance of treatment plan adaptation to anatomical changes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366,
            1444,
            1445,
            1568,
            1569,
            166,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "cfp": {
            "name": "For submitters - VCBM 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "340448",
            "orig_name": "For submitters - VCBM 2019.pdf",
            "ext": "pdf"
        },
        "doi": "10.2312/vcbm.20191233",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "lecturer": [
            1366
        ],
        "pages_from": "69",
        "pages_to": "78",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 9269,
                "preview_image_height": 4095,
                "name": "raidou_2019_pelvisrunner-paper.pdf",
                "type": "application/pdf",
                "size": 2868471,
                "path": "Publication:raidou_2019_pelvisrunner",
                "preview_name": "raidou_2019_pelvisrunner-paper:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 1955471,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_2019_pelvisrunner-video.mp4",
                "type": "video/mp4",
                "size": 35722536,
                "path": "Publication:raidou_2019_pelvisrunner",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/raidou_2019_pelvisrunner-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_pelvisrunner/",
        "__class": "Publication"
    },
    {
        "id": "raidou_2019_preha",
        "type_id": "inproceedings",
        "tu_id": 283963,
        "repositum_id": null,
        "title": "preha: Establishing Precision Rehabilitation with Visual Analytics",
        "date": "2019-09",
        "abstract": "This design study paper describes preha, a novel visual analytics application in the field of in-patient rehabilitation. We conducted extensive interviews with the intended users, i.e., engineers and clinical rehabilitation experts, to determine specific requirements of their analytical process.We identified nine tasks, for which suitable solutions have been designed and developed in the flexible environment of kibana. Our application is used to analyze existing rehabilitation data from a large cohort of 46,000 patients, and it is the first integrated solution of its kind. It incorporates functionalities for data preprocessing (profiling, wrangling and cleansing), storage, visualization, and predictive analysis on the basis of retrospective outcomes. A positive feedback from the first evaluation with domain experts indicates the usefulness of the newly proposed approach and represents a solid foundation for the introduction of visual analytics to the rehabilitation domain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1654,
            235,
            166,
            1410
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "cfp": {
            "name": "For submitters - VCBM 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "340448",
            "orig_name": "For submitters - VCBM 2019.pdf",
            "ext": "pdf"
        },
        "doi": "10.2312/vcbm.20191234",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "lecturer": [
            1410
        ],
        "pages_from": "79",
        "pages_to": "89",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "raidou_2019_preha-paper.pdf",
                "type": "application/pdf",
                "size": 4173646,
                "path": "Publication:raidou_2019_preha",
                "preview_name": "raidou_2019_preha-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 821513,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_2019_preha-slides.pdf",
                "type": "application/pdf",
                "size": 1577612,
                "path": "Publication:raidou_2019_preha",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_2019_preha-video.mp4",
                "type": "video/mp4",
                "size": 19827660,
                "path": "Publication:raidou_2019_preha",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/raidou_2019_preha-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_preha/",
        "__class": "Publication"
    },
    {
        "id": "vitruvian_2019",
        "type_id": "journalpaper",
        "tu_id": 283956,
        "repositum_id": null,
        "title": "The Vitruvian Baby: Interactive Reformation of Fetal Ultrasound Data to a T-Position",
        "date": "2019-09",
        "abstract": "Three-dimensional (3D) ultrasound imaging and visualization is often used in medical diagnostics, especially in prenatal\nscreening. Screening the development of the fetus is important to assess possible complications early on. State of the art approaches involve taking standardized measurements to compare them with standardized tables. The measurements are taken\nin a 2D slice view, where precise measurements can be difficult to acquire due to the fetal pose. Performing the analysis in a\n3D view would enable the viewer to better discriminate between artefacts and representative information. Additionally making\ndata comparable between different investigations and patients is a goal in medical imaging techniques and is often achieved by\nstandardization. With this paper, we introduce a novel approach to provide a standardization method for 3D ultrasound fetus\nscreenings. Our approach is called “The Vitruvian Baby” and incorporates a complete pipeline for standardized measuring\nin fetal 3D ultrasound. The input of the method is a 3D ultrasound screening of a fetus and the output is the fetus in a standardized T-pose. In this pose, taking measurements is easier and comparison of different fetuses is possible. In addition to the\ntransformation of the 3D ultrasound data, we create an abstract representation of the fetus based on accurate measurements.\nWe demonstrate the accuracy of our approach on simulated data where the ground truth is known.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "vitruvian_2019-.pdf",
            "type": "application/pdf",
            "size": 1371768,
            "path": "Publication:vitruvian_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1345,
            1410,
            171,
            1694
        ],
        "cfp": {
            "name": "For submitters - VCBM 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "340448",
            "orig_name": "For submitters - VCBM 2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "10.2312/vcbm.20191245",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2019)",
        "lecturer": [
            1345
        ],
        "pages_from": "201",
        "pages_to": "205",
        "volume": "9",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vitruvian_2019-.pdf",
                "type": "application/pdf",
                "size": 1371768,
                "path": "Publication:vitruvian_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/vitruvian_2019-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vitruvian_2019/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2019-mci",
        "type_id": "misc",
        "tu_id": 282839,
        "repositum_id": null,
        "title": "Microtubule Catastrophe",
        "date": "2019-09",
        "abstract": "This is a procedural model of microtubule dynamics. It is rendered in real-time in the Marion molecular visualization framework. The image shows the \"catastrophe\" event, i.e., a sudden switch between the growth and rapid shortening of a microtubule, a filament which is a part of cytoskeleton. In the background, molecules of proteins cell cytoplasm proteins are visible. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.",
            "filetitle": "Microtubule Catastrophe",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2560,
            "image_height": 1440,
            "name": "mindek-2019-mci-Microtubule Catastrophe.png",
            "type": "image/png",
            "size": 5531356,
            "path": "Publication:mindek-2019-mci",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            1285,
            1260,
            1695
        ],
        "note": "VCBM 2019, Image Contest Jury's Award",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "molecular visualization",
            "microtubules",
            "biology"
        ],
        "weblinks": [
            {
                "href": "https://conferences.eg.org/vcbm2019/awards",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Real-time rendered model of dynamic instability of a microtubule - part of a skeleton of a cell.",
                "filetitle": "Microtubule Catastrophe",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2560,
                "image_height": 1440,
                "name": "mindek-2019-mci-Microtubule Catastrophe.png",
                "type": "image/png",
                "size": 5531356,
                "path": "Publication:mindek-2019-mci",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/mindek-2019-mci-Microtubule Catastrophe:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mindek-2019-mci/",
        "__class": "Publication"
    },
    {
        "id": "miao_thesis_2019",
        "type_id": "phdthesis",
        "tu_id": 282842,
        "repositum_id": null,
        "title": "Geometric Abstraction for Effective Visualization and Modeling",
        "date": "2019-08-19",
        "abstract": "In this cumulative thesis, I describe geometric abstraction as a strategy to create an integrated visualization system for spatial scientific data. The proposed approach creates a multitude of representations of spatial data in two dominant ways. Along the spatiality axis, it gradually removes spatial details and along the visual detail axis, the features are increasingly aggregated and represented by different visual objects. These representations are then integrated into a conceptual abstraction space that enables users to efficiently change the representation to adjust the abstraction level to a task in mind. To enable the expert to perceive correspondence between these representations, controllable animated transitions are provided. Finally, the abstraction space can record user interactions and provides visual indications to guide the expert towards interesting representations for a particular task and data set. Mental models of the experts play a crucial role in the understanding of the abstract representations and are considered in the design of the visualization system to keep the cognitive load low on the user’s side. This approach is demonstrated in two distinct fields of placenta research and in silico design of DNA nanostructures. For both fields geometric abstraction facilitates effective visual inspection and modeling. The Adenita toolkit, a software for the design of novel DNA nanostructures, implements the proposed visualization concepts. This toolkit, together with the proposed visualization concepts, is currently deployed to several research groups to help them in nanotechnology research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "duration": "90",
        "matrikelnr": "00726810",
        "reviewer_1": [
            176
        ],
        "reviewer_2": [
            1711
        ],
        "rigorosum": "2019-08-19",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "MedVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 5083,
                "preview_image_height": 2903,
                "name": "miao_thesis_2019-thesis.pdf",
                "type": "application/pdf",
                "size": 25599678,
                "path": "Publication:miao_thesis_2019",
                "preview_name": "miao_thesis_2019-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 9915151,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/miao_thesis_2019-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/miao_thesis_2019-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_thesis_2019/",
        "__class": "Publication"
    },
    {
        "id": "gruber_horst-2019-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extensible Image Classification",
        "date": "2019-08-16",
        "abstract": "Struktur des Systems:\nInput: Bereits segmentierte Objekte\n1) Labeling: Input: Objekt(e), Output: Manuelle Zuordnung eines (neuen bzw. korrigierten) Labels pro Objekt\n2) Clustering: Input: Cluster mit Objekten, mit k (mindestens, oder genau zwei) verschiedenen Label, Unterteilung durch k-means Clustering, Output: k Cluster von 'ähnlichen' Objekten pro Label\n3) Training: Input: Objekte mit Label (ihres Clusters), Output: Network, das die Objekte in die derzeit gelabelten Cluster klassifiziert\nDann geht's iterativ mit Schritt 1 weiter - Objekte werden dem User angezeigt und bei Bedarf relabeled, wonach Schritt 2 folgt usw.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1008,
            "image_height": 502,
            "name": "gruber_horst-2019-baa-image.jpg",
            "type": "image/jpeg",
            "size": 189279,
            "path": "Publication:gruber_horst-2019-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1645
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2019-08-16",
        "date_start": "2019-04-11",
        "matrikelnr": "8330864",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "deep learning",
            "ontology",
            "image classification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1008,
                "image_height": 502,
                "name": "gruber_horst-2019-baa-image.jpg",
                "type": "image/jpeg",
                "size": 189279,
                "path": "Publication:gruber_horst-2019-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/gruber_horst-2019-baa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gruber_horst-2019-baa/",
        "__class": "Publication"
    },
    {
        "id": "Gruber2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extended Image Classification",
        "date": "2019-08-16",
        "abstract": "In this thesis, we developed an image classification model with improving classification performance over a training phase. The model is using a pre-trained convolutional neuronal network (CNN) for feature extraction and a k-means algorithm for clustering. Performance optimization is realized by optimized weight factors for the extracted feature values. The optimization of the weight factors is calculated iteratively during a training\nphase. The measure of the weight factor adoption in a training step is related to the ground-truth dependent clustering contribution of the newly added image feature.\nWe see as an advantage of our approach that the optimization requires no internal changes of the applied feature extraction and clustering algorithms, hence pre-trained models or closed-source implementations can be used. As a further advantage, we see the step-wise\ntransparency of the performance development during the training phase for each newly\nadded image as opposed to batch-based training for CNNs. This enables dynamic control of the training phase by the user. Another advantage is the small number of parameters to be optimized, which results in reduced processing time. A further advantage is the classification performance of our model that outperforms the reference model without feature weight optimization.\nIn the course of our work, we developed a Python application that implements our model and provides a user-friendly interface. It allows easy set-up of test cases and provides graphics and tables for a comprehensive evaluation on process steps level. We consider this application as a starting point for future work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 280,
            "image_height": 107,
            "name": "Gruber2019-image.JPG",
            "type": "image/jpeg",
            "size": 18204,
            "path": "Publication:Gruber2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1645
        ],
        "date_end": "2019-08-16",
        "date_start": "2019-01-20",
        "matrikelnr": "08330864",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gruber2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 10171020,
                "path": "Publication:Gruber2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 280,
                "image_height": 107,
                "name": "Gruber2019-image.JPG",
                "type": "image/jpeg",
                "size": 18204,
                "path": "Publication:Gruber2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/Gruber2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Gruber2019/",
        "__class": "Publication"
    },
    {
        "id": "Hainoun2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Data Flags in Table Lens Views to Improve the Readability of Metadata and the Tracking of Data Cleaning",
        "date": "2019-08-15",
        "abstract": "Recent evaluation indicates that wrong decisions resulting from systems operating based on bad data costed worldwide about $30 billion in the year 2006. This work addresses the importance of Data Quality (DQ) as a critical requirement in any information system. In this regard, DQ criteria and problems such as missing entries, duplicates, and faulty values are identified. Different approaches and techniques used for data cleaning to fix\nDQ issues are reviewed. In this work a new technique is integrated into VISPLORE, a\nframework for data analysis and visualization, that allows the framework to visualize multiple types of per-value meta-information. We will show how our work enhances the readability of the table lens view, one of the many viewing modes provided in VISPLORE, and helps the user understand the status of data entries to decide on what entries need to be cleaned and how. This work also expands on the interactive data cleaning tools provided by VISPLORE, by allowing the user to manually delete implausible values or replace them with more plausible ones, while keeping track of this cleaning process. With\nthe integrated new features to the table lens view, VISPLORE is now able to present\nmore detailed data with enhanced visualization features and interactive data cleaning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 446,
            "image_height": 305,
            "name": "Hainoun2019-image.JPG",
            "type": "image/jpeg",
            "size": 38319,
            "path": "Publication:Hainoun2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1691
        ],
        "date_end": "2019-08-15",
        "date_start": "2019-01-15",
        "matrikelnr": "01325827",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Hainoun2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 2113204,
                "path": "Publication:Hainoun2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 446,
                "image_height": 305,
                "name": "Hainoun2019-image.JPG",
                "type": "image/jpeg",
                "size": 38319,
                "path": "Publication:Hainoun2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/Hainoun2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Hainoun2019/",
        "__class": "Publication"
    },
    {
        "id": "Bayat_2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Visualization of the Evolution of Cultural Models",
        "date": "2019-08-13",
        "abstract": "Culture is a fascinating phenomenon influencing various aspects of our lives. Cultural models seek to describe the complex structure of ethical and societal values. Two main cultural models have been defined so far: the Hofstede model [Hof11] and the GLOBE project [GLO04]. Both models define similar attributes to describe characteristics of a society, summarized in so-called cultural dimensions.\nTo better understand the complexity of cultural models and the information given\nthere are tools that visualize the complex data provided. Current tools for the visualization of cultural models make use of barcharts, boxplots and scatterplots, while only covering a small part of the data and information given. The existing tools do not cover the information completely and miss vital aspects. We want to fill these gaps and seek to find a way to easily compare selected data with each other. Moreover, we want to design a visualization that can identify cultures and cultural regions. We try to create a tool to visualize cultural models. The tool displays the given data in an easy way, by using new approaches and improving existing ones. First, we analyze the data given, to crystallize the core information and main feature of our visualization.\nNext, the goal is to define the advantages and disadvantages of the current and latest\nvisualization approaches. By combining the strengths and improving the weaknesses of\nthese existing tools we try to specify the difficulties and goals we want to achieve with the new approach. Lastly, we look at ongoing cultural applications by using the developed visualization tool and look for similarities where we do not expect them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 464,
            "image_height": 311,
            "name": "Bayat_2019-image.JPG",
            "type": "image/jpeg",
            "size": 21066,
            "path": "Publication:Bayat_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1693
        ],
        "date_end": "2019-08-13",
        "date_start": "2019-04-10",
        "matrikelnr": "01614855",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Bayat_2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 3536287,
                "path": "Publication:Bayat_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 464,
                "image_height": 311,
                "name": "Bayat_2019-image.JPG",
                "type": "image/jpeg",
                "size": 21066,
                "path": "Publication:Bayat_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/Bayat_2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bayat_2019/",
        "__class": "Publication"
    },
    {
        "id": "Grossmann_MA",
        "type_id": "masterthesis",
        "tu_id": 282844,
        "repositum_id": null,
        "title": "Pelvis Runner - Comparative Visualization of Anatomical Changes",
        "date": "2019-08-05",
        "abstract": "Pelvic organs such as the bladder, rectum or prostate have highly variable shapes that change over time, due to their soft and flexible tissue and varying filling. Recent clinical work suggests that these variations might affect the effectiveness of radiation therapy treatment in patients with prostate cancer. Although in clinical practice small correction steps are performed to re-align the treated region if the organs are shifted, a more in-depth\nunderstanding and modeling might prove beneficial for the adaptation of the employed treatment planning strategy. To evaluate the viability and to account for the variability in the population of certain treatment strategies, cohort studies are performed analyzing\nthe shape and position variability of pelvic organs. In this thesis, we propose a web-based tool that is able to analyze a cohort of pelvic organs from 24 patients across 13 treatment instances. Hereby we have two goals: On the one hand, we want to support medical researchers analyzing large groups of patients for their shape variability and the possible correlations to side effects. On the other hand, we want to provide support for medical experts performing individual patient treatment planning. Our tool offers both the option to analyze a large cohort of different organ shapes, by first modeling them in a shape space and then analyzing the shape variations on a per-patient basis. While this first part aims at providing users with an overview of the data, we also give them the option to perform a detailed shape analysis, where we highlight the statistically aggregated shape of a patient or a specified group using a contour variability plot. Finally, we demonstrate several possible usage scenarios for our\ntool and perform an informal evaluation with two medical experts. Our tool is the first significant step in supporting medical experts in demonstrating the need for adaptation in radiation therapy treatments to account for shape variability.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 353,
            "image_height": 326,
            "name": "Grossmann_MA-image.JPG",
            "type": "image/jpeg",
            "size": 24279,
            "path": "Publication:Grossmann_MA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366
        ],
        "date_end": "2019-08-05",
        "date_start": "2018-05-05",
        "matrikelnr": "01325103",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 353,
                "image_height": 326,
                "name": "Grossmann_MA-image.JPG",
                "type": "image/jpeg",
                "size": 24279,
                "path": "Publication:Grossmann_MA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Grossmann_MA-Master thesis.pdf",
                "type": "application/pdf",
                "size": 15124205,
                "path": "Publication:Grossmann_MA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Grossmann_MA-Poster.pdf",
                "type": "application/pdf",
                "size": 1971657,
                "path": "Publication:Grossmann_MA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/Grossmann_MA-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Grossmann_MA/",
        "__class": "Publication"
    },
    {
        "id": "2019-ic",
        "type_id": "techreport",
        "tu_id": 282845,
        "repositum_id": null,
        "title": "Collecting and Structuring Information in the Information Collage",
        "date": "2019-08",
        "abstract": "Knowledge workers, such as scientists, journalists, or consultants, adaptively seek, gather, and consume information. These processes are often inefficient as existing user interfaces provide limited possibilities to combine information from various sources and different formats into a common knowledge representation. In this paper, we present the concept of an information collage (IC) -- a web browser extension combining manual spatial organization of gathered information fragments and automatic text analysis for interactive content exploration and expressive visual summaries. We used IC for case studies with knowledge workers from different domains and longer-term field studies over a period of one month. We identified three different ways how users collect and structure information and provide design recommendations how to support these observed usage strategies. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1243,
            "image_height": 832,
            "name": "2019-ic-teaser.png",
            "type": "image/png",
            "size": 279699,
            "path": "Publication:2019-ic",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1211,
            1690,
            1110
        ],
        "number": "TR-193-02-2019-2",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/1909.00608",
                "caption": "arXiv report",
                "description": "Technical Report at arXiv",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1243,
                "image_height": 832,
                "name": "2019-ic-teaser.png",
                "type": "image/png",
                "size": 279699,
                "path": "Publication:2019-ic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "2019-ic-video.mp4",
                "type": "video/mp4",
                "size": 13549543,
                "path": "Publication:2019-ic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/2019-ic-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/2019-ic/",
        "__class": "Publication"
    },
    {
        "id": "sietzen-2019-wnn",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Web-Interface for neural network feature visualization",
        "date": "2019-08",
        "abstract": "Excellent explanations of feature visualization already exist in the form of interactive articles, e.g. DeepDream, Feature Visualization, The Building Blocks of Interpretability, Activation Atlas, Visualizing GoogLeNet Classes. They mostly rely on curated prerendered visualizations, additionally providing colab notebooks or public repositories allowing the reader to reproduce those results. While precalculated visualizations have many advantages (directability, more processing budget), they are always discretized samples of a continuous parameter space. In the spirit of Tensorflow Playground, this project aims at providing a fully interactive interface to some basic functionality of the originally Python-based Lucid library, roughly corresponding to the concepts presented in the “Feature Visualization\" article. The user is invited to explore the effect of parameter changes in a playful way and without requiring any knowledge of programming, enabled by an implementation on top of TensorFlow.js. Live updates of the generated input image as well as feature map activations should give the user a visual intuition to the otherwise abstract optimization process. Further, this interface opens the domain of feature visualization to non-experts, as no scripting is required.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 759,
            "image_height": 614,
            "name": "sietzen-2019-wnn-screenshot.png",
            "type": "image/png",
            "size": 293509,
            "path": "Publication:sietzen-2019-wnn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1373
        ],
        "date_end": "2019-08",
        "date_start": "2019-04",
        "matrikelnr": "0372194",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://visxai.stefansietzen.at/",
                "caption": "VISxAI URL",
                "description": "Explainable URL, accepted for the IEEE VIS 2019 Workshop on Visualization for AI Explainability. ",
                "main_file": 1
            },
            {
                "href": "https://visxai.io/",
                "caption": "VISxAI workshop",
                "description": "2nd workshop on Visualization for AI Explainability in Vancover, Canada, October 21, 2019. ",
                "main_file": 0
            },
            {
                "href": "https://github.com/stefsietz/LucidPlayground",
                "caption": "LucidPlayground GitHub",
                "description": "Source code",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "JSDoc, zipped",
                "filetitle": "documentation LucidPlayground",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2019-wnn-documentation LucidPlayground.zip",
                "type": "application/x-zip-compressed",
                "size": 556043,
                "path": "Publication:sietzen-2019-wnn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-documentation LucidPlayground.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 759,
                "image_height": 614,
                "name": "sietzen-2019-wnn-screenshot.png",
                "type": "image/png",
                "size": 293509,
                "path": "Publication:sietzen-2019-wnn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-screenshot:thumb{{size}}.png"
            },
            {
                "description": "Submission video for VISxAI workshop. ",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sietzen-2019-wnn-video.mp4",
                "type": "video/mp4",
                "size": 51123687,
                "path": "Publication:sietzen-2019-wnn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/sietzen-2019-wnn-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/sietzen-2019-wnn/",
        "__class": "Publication"
    },
    {
        "id": "klein_2019_PMP",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": "20.500.12708/57947",
        "title": "Multi-Scale Procedural Animations of Microtubule Dynamics Based on Measured Data",
        "date": "2019-08",
        "abstract": "Biologists often use computer graphics to visualize structures, which due to physical limitations are not possible to imagewith a microscope. One example for such structures are microtubules, which are present in every eukaryotic cell. They are part ofthe cytoskeleton maintaining the shape of the cell and playing a key role in the cell division. In this paper, we propose a scientifically-accurate multi-scale procedural model of microtubule dynamics as a novel application scenario for procedural animation, which cangenerate visualizations of their overall shape, molecular structure, as well as animations of the dynamic behaviour of their growth anddisassembly. The model is spanning from tens of micrometers down to atomic resolution. All the aspects of the model are driven byscientific data. The advantage over a traditional, manual animation approach is that when the underlying data change, for instance dueto new evidence, the model can be recreated immediately. The procedural animation concept is presented in its generic form, withseveral novel extensions, facilitating an easy translation to other domains with emergent multi-scale behavior.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1706,
            "image_height": 770,
            "name": "klein_2019_PMP-image.jpg",
            "type": "image/jpeg",
            "size": 953504,
            "path": "Publication:klein_2019_PMP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285,
            171,
            166,
            935
        ],
        "cfp": {
            "name": "Call For Participation.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "356286",
            "orig_name": "Call For Participation.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "10.1109/TVCG.2019.2934612",
        "event": "IEEE VIS 2019",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1285
        ],
        "number": "1",
        "pages_from": "622",
        "pages_to": "632",
        "volume": "26",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1706,
                "image_height": 770,
                "name": "klein_2019_PMP-image.jpg",
                "type": "image/jpeg",
                "size": 953504,
                "path": "Publication:klein_2019_PMP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2019_PMP-paper.pdf",
                "type": "application/pdf",
                "size": 3283919,
                "path": "Publication:klein_2019_PMP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "suppl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2019_PMP-suppl.pdf",
                "type": "application/pdf",
                "size": 229898,
                "path": "Publication:klein_2019_PMP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/klein_2019_PMP-suppl:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_PMP/",
        "__class": "Publication"
    },
    {
        "id": "koch-2019-PR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation of Diabetic Macular Edema in Virtual Reality",
        "date": "2019-08",
        "abstract": "Simulation of diabetic macular edema (DME) is implemented in a virtual reality simulation using Unreal Engine 4. Common symptoms of DME are blurry vision, loss of contrast, floaters and distorted vision. We use different computer graphics techniques to create effects which resemble such symptoms.\nAn eye tracker from Pupil Labs is used in order to make effects gaze dependent.\nThe implementation of these effects is discussed and adjustable parameters\nof the effects are explained.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1920,
            "image_height": 1026,
            "name": "koch-2019-PR-image.jpg",
            "type": "image/jpeg",
            "size": 206235,
            "path": "Publication:koch-2019-PR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1604
        ],
        "date_end": "2019-08",
        "date_start": "2019-04",
        "matrikelnr": "01526232 ",
        "note": "1",
        "supervisor": [
            1030
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1026,
                "name": "koch-2019-PR-image.jpg",
                "type": "image/jpeg",
                "size": 206235,
                "path": "Publication:koch-2019-PR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koch-2019-PR-report.pdf",
                "type": "application/pdf",
                "size": 3704736,
                "path": "Publication:koch-2019-PR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/koch-2019-PR-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/koch-2019-PR/",
        "__class": "Publication"
    },
    {
        "id": "horvath-2018-ism",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-Space Metaballs Using Deep Learning",
        "date": "2019-07-24",
        "abstract": "Metaballs are a type of implicit surface that are used to model organic-looking shapes and fluids. Accurate rendering of three-dimensional metaballs is typically done using ray-casting, which is computationally expensive and not suitable for real-time applications, therefore di˙erent approximate methods for rendering metaballs have been developed.\nIn this thesis, the foundations of metaballs and neural networks are discussed, and a new approach to rendering metaballs using Deep Learning that is fast enough for use in real-time applications is presented. The system uses an image-to-image translation approach. For that, first the metaballs are rendered using a very simplified representation to an image. This image is then used as input to a neural network that outputs a depth, normal and base color bu˙er that can be combined using a deferred shading renderer to produce a final image.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 355,
            "image_height": 237,
            "name": "horvath-2018-ism-image.JPG",
            "type": "image/jpeg",
            "size": 28384,
            "path": "Publication:horvath-2018-ism",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1561
        ],
        "date_end": "2019-07-24",
        "date_start": "2018",
        "matrikelnr": "01025519",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 355,
                "image_height": 237,
                "name": "horvath-2018-ism-image.JPG",
                "type": "image/jpeg",
                "size": 28384,
                "path": "Publication:horvath-2018-ism",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "horvath-2018-ism-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 19182819,
                "path": "Publication:horvath-2018-ism",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/horvath-2018-ism-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/horvath-2018-ism/",
        "__class": "Publication"
    },
    {
        "id": "raidou_2019_springer",
        "type_id": "inbook",
        "tu_id": 283965,
        "repositum_id": null,
        "title": "Visual Analytics for the Representation, Exploration and Analysis of High-Dimensional, Multi-Faceted Medical Data",
        "date": "2019-07-17",
        "abstract": "Medicine is among research fields with a significant impact on\nhumans and their health. Already for decades, medicine has established\na tight coupling with the visualization domain, proving the importance\nof developing visualization techniques, designed exclusively for this\nresearch discipline. However, medical data is steadily increasing in\ncomplexity with the appearance of heterogeneous, multi-modal, multiparametric,\ncohort or population, as well as uncertain data. To deal with\nthis kind of complex data, the field of Visual Analytics has emerged.\nIn this chapter, we discuss the many dimensions and facets of medical\ndata. Based on this classification, we provide a general overview of\nstate-of-the-art visualization systems and solutions dealing with highdimensional,\nmulti-faceted data. Our particular focus will be on multimodal,\nmulti-parametric data, on data from cohort or population studies\nand on uncertain data, especially with respect to Visual Analytics\napplications for the representation, exploration, and analysis of highdimensional,\nmulti-faceted medical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "booktitle": "Biomedical Visualisation",
        "chapter": "10",
        "doi": "https://doi.org/10.1007/978-3-030-14227-8_10",
        "editor": "Springer",
        "note": "https://www.springer.com/gp/book/9783030142261",
        "pages_from": "137",
        "pages_to": "162",
        "publisher": "Springer",
        "volume": "2",
        "research_areas": [
            "BioVis",
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.springer.com/gp/book/9783030142261",
                "caption": "link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_2019_springer/",
        "__class": "Publication"
    },
    {
        "id": "schefcik_juergen_2015_baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of Coherent Hierarchical Culling Revisited with Varied Parameters",
        "date": "2019-07-12",
        "abstract": "When rendering huge point clouds (Euclideon, potree), the impression of a surface can be generated by blending splats with their neighbors. However, without having the surface connectivity, many occluded points are unnecessarily loaded from the octree on disk, generating high latency accesses. By inferring that connectivity from arbitrary levels in an augmented octree, we can avoid loading occluded nodes and unnecessary detail, thus limiting loaded data size to screen resolution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 267,
            "image_height": 200,
            "name": "schefcik_juergen_2015_baa-image.png",
            "type": "image/png",
            "size": 56821,
            "path": "Publication:schefcik_juergen_2015_baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1279
        ],
        "date_end": "2019-07-12",
        "date_start": "2015",
        "duration": "6 months",
        "matrikelnr": "1025543",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "occlusion",
            "point cloud",
            "loading strategy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schefcik_juergen_2015_baa-.pdf",
                "type": "application/pdf",
                "size": 7557502,
                "path": "Publication:schefcik_juergen_2015_baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 267,
                "image_height": 200,
                "name": "schefcik_juergen_2015_baa-image.png",
                "type": "image/png",
                "size": 56821,
                "path": "Publication:schefcik_juergen_2015_baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/schefcik_juergen_2015_baa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schefcik_juergen_2015_baa/",
        "__class": "Publication"
    },
    {
        "id": "mizuno-2019-eurovis",
        "type_id": "journalpaper",
        "tu_id": 282848,
        "repositum_id": null,
        "title": "Optimizing Stepwise Animation in Dynamic Set Diagrams",
        "date": "2019-07-10",
        "abstract": "A set diagram represents the membership relation among data elements. It is often visualized as secondary information on top of primary information, such as the spatial positions of elements on maps and charts. Visualizing the temporal evolution of such set diagrams as well as their primary features is quite important; however, conventional approaches have only focused on the temporal behavior of the primary features and do not provide an effective means to highlight notable transitions within the set relationships. This paper presents an approach for generating a stepwise animation between set diagrams by decomposing the entire transition into atomic changes associated with individual data elements. The key idea behind our approach is to optimize the ordering of the atomic changes such that the synthesized animation minimizes unwanted set occlusions by considering their depth ordering and reduces the gaze shift between two consecutive stepwise changes. Experimental results and a user study demonstrate that the proposed approach effectively facilitates the visual identification of the detailed transitions inherent in dynamic set diagrams.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "mizuno-2019-eurovis-image.png",
            "type": "image/png",
            "size": 100164,
            "path": "Publication:mizuno-2019-eurovis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1674,
            1464,
            1580,
            1040
        ],
        "cfp": {
            "name": "eurovis2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "37147",
            "orig_name": "eurovis2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "https://doi.org/10.1111/cgf.13668",
        "event": "EuroVis 2019",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1674
        ],
        "note": "Best Paper Honorable Mention at EuroVis 2019",
        "pages_from": "13",
        "pages_to": "24",
        "volume": "38",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://youtu.be/dMphkr6nAHQ",
                "caption": "video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "mizuno-2019-eurovis-image.png",
                "type": "image/png",
                "size": 100164,
                "path": "Publication:mizuno-2019-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mizuno-2019-eurovis-paper.pdf",
                "type": "application/pdf",
                "size": 20180512,
                "path": "Publication:mizuno-2019-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/mizuno-2019-eurovis-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/mizuno-2019-eurovis/",
        "__class": "Publication"
    },
    {
        "id": "pogrzebacz-2014-gggm",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Graph Grammar for Modelling of 2D Shapes",
        "date": "2019-07",
        "abstract": "The creation of models for computer graphics is a very work intensive task, which places\nsevere limits on the size of projects. Procedural modelling is an ongoing field of research\nwhich aims to alleviate this pressure by automatically generating multiple differing variations of models at multiple levels of detail. Within the realm of procedural model\ngeneration, there are a number of techniques specializing in either modelling plants e.g.\nL-Systems or in modelling buildings e.g. shape grammars or other such specialization.\nThe following paper aims to show a possibility of improving this situation, by describing\nthe conception and implementation of a graph grammar and support software, suitable\nfor procedural modelling of both artificial (e.g. buildings and furniture) and organic (e.g.\ntrees and flowers) objects in 2D space. A graph grammar with such aims was previously\nintroduced by Christiansen and Bærentzen [CB13], but with a different definition and\ndifferent characteristics. This work aims specifically to make using the introduced graph\ngrammar simple and improve intuitiveness. The proposed graph grammars versatility\nis displayed through example production definitions creating a Koch snowflake, circular\nand square patterns, a building façade schematic and a tree.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1222
        ],
        "date_end": "2019-07-09",
        "date_start": "2014-11-12",
        "duration": "6 months",
        "matrikelnr": "1028937",
        "supervisor": [
            1303
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pogrzebacz-2014-gggm-thesis.pdf",
                "type": "application/pdf",
                "size": 3956692,
                "path": "Publication:pogrzebacz-2014-gggm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/pogrzebacz-2014-gggm-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/pogrzebacz-2014-gggm-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/pogrzebacz-2014-gggm/",
        "__class": "Publication"
    },
    {
        "id": "Preiner_2019",
        "type_id": "journalpaper",
        "tu_id": 282850,
        "repositum_id": null,
        "title": "Gaussian-Product Subdivision Surfaces",
        "date": "2019-07",
        "abstract": "Probabilistic distribution models like Gaussian mixtures have shown great\npotential for improving both the quality and speed of several geometric operators. This is largely due to their ability to model large fuzzy data using only a reduced set of atomic distributions, allowing for large compression rates at minimal information loss. We introduce a new surface model that utilizes these qualities of Gaussian mixtures for the definition and control of a parametric smooth surface. Our approach is based on an enriched mesh data structure, which describes the probability distribution of spatial surface locations around each vertex via a Gaussian covariance matrix. By incorporating this additional covariance information, we show how to define a smooth surface via a nonlinear probabilistic subdivision operator based on products of Gaussians, which is able to capture rich details at fixed control mesh resolution. This entails new applications in surface reconstruction,\nmodeling, and geometric compression.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 802,
            "image_height": 537,
            "name": "Preiner_2019-image.jpg",
            "type": "image/jpeg",
            "size": 184075,
            "path": "Publication:Preiner_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799,
            1518,
            193
        ],
        "date_from": "2019-07-28",
        "date_to": "2019-08-01",
        "doi": "10.1145/3306346.3323026",
        "event": "ACM SIGGRAPH 2019",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            799
        ],
        "location": "Los Angeles, USA",
        "number": "4",
        "open_access": "yes",
        "pages_from": "35:1",
        "pages_to": "35:11",
        "volume": "38",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Gaussian mixtures",
            "surface reconstruction",
            "subdivision surfaces"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 802,
                "image_height": 537,
                "name": "Preiner_2019-image.jpg",
                "type": "image/jpeg",
                "size": 184075,
                "path": "Publication:Preiner_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Preiner_2019-Paper.pdf",
                "type": "application/pdf",
                "size": 22292400,
                "path": "Publication:Preiner_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/Preiner_2019-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Preiner_2019/",
        "__class": "Publication"
    },
    {
        "id": "celarek_adam-2019-qelta",
        "type_id": "journalpaper",
        "tu_id": 282852,
        "repositum_id": null,
        "title": "Quantifying the Error of Light Transport Algorithms",
        "date": "2019-07",
        "abstract": "This paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two-fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per-pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per-pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Error spectrum ensemble",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 594,
            "image_height": 372,
            "name": "celarek_adam-2019-qelta-image.png",
            "type": "image/png",
            "size": 39262,
            "path": "Publication:celarek_adam-2019-qelta",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013,
            1667,
            193,
            1666
        ],
        "cfp": {
            "name": "EGSR-2019_Call-for-Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "174109",
            "orig_name": "EGSR-2019_Call-for-Papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-07-10",
        "date_to": "2019-07-12",
        "doi": "10.1111/cgf.13775",
        "event": "Eurographics Symposium on Rendering 2019",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1013
        ],
        "number": "4",
        "open_access": "yes",
        "pages_from": "111",
        "pages_to": "121",
        "publisher": "The Eurographics Association and John Wiley & Sons Ltd.",
        "volume": "38",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "measuring error",
            "light transport",
            "global illumination"
        ],
        "weblinks": [
            {
                "href": "https://github.com/cg-tuwien/Quantifying-the-Error-of-Light-Transport-Algorithms",
                "caption": "Git repository",
                "description": "Git repository with the implementation of the error spectrum ensemble and short rendering generator.",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Error spectrum ensemble",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 594,
                "image_height": 372,
                "name": "celarek_adam-2019-qelta-image.png",
                "type": "image/png",
                "size": 39262,
                "path": "Publication:celarek_adam-2019-qelta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-image:thumb{{size}}.png"
            },
            {
                "description": "Paper",
                "filetitle": "paper_preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "celarek_adam-2019-qelta-paper_preprint.pdf",
                "type": "application/pdf",
                "size": 2849560,
                "path": "Publication:celarek_adam-2019-qelta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-paper_preprint:thumb{{size}}.png"
            },
            {
                "description": "Slides from the presentation at EGSR",
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "celarek_adam-2019-qelta-presentation.pdf",
                "type": "application/pdf",
                "size": 3561061,
                "path": "Publication:celarek_adam-2019-qelta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-presentation:thumb{{size}}.png"
            },
            {
                "description": "Additional examples, experiments and similar.",
                "filetitle": "supplemental_material",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "celarek_adam-2019-qelta-supplemental_material.pdf",
                "type": "application/pdf",
                "size": 81913248,
                "path": "Publication:celarek_adam-2019-qelta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-supplemental_material:thumb{{size}}.png"
            },
            {
                "description": "Teaser",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1826,
                "image_height": 484,
                "name": "celarek_adam-2019-qelta-teaser.png",
                "type": "image/png",
                "size": 407655,
                "path": "Publication:celarek_adam-2019-qelta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/celarek_adam-2019-qelta-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "EVOCATION",
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/",
        "__class": "Publication"
    },
    {
        "id": "maruyama-2019-iv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scale-Aware Cartographic Displacement Based on Constrained Optimization",
        "date": "2019-07",
        "abstract": "Abstract—The consistent arrangement of map features in accordance with the map scale has recently been technically important in digital cartographic generalization. This is primarily due to the recent demand for informative mapping systems, especially for use in smartphones and tablets. However, such sophisticated generalization has usually been conducted manually by expert cartographers and thus results in a time-consuming and error-prone process. In this paper, we focus on the displacement process within cartographic generalization and formulate them as a constrained optimization problem to provide an associated algorithm implementation and its effective solution. We first identify the underlying spatial relationships among map features, such as points and lines, on each map scale as constraints and optimize the cost function that penalizes excessive displacement of the map features in terms of the map scale. Several examples are also provided to demonstrate that the proposed approach allows us to maintain consistent mapping regardless of changes to the map scale.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "maruyama-2019-iv-image.png",
            "type": "image/png",
            "size": 58725,
            "path": "Publication:maruyama-2019-iv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1625,
            1580,
            1464,
            1676,
            1627
        ],
        "booktitle": "Proceedings of the 23th International Conference on Information Visualisation (iV2019)",
        "cfp": {
            "name": "iv2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "91598",
            "orig_name": "iv2019.pdf",
            "ext": "pdf"
        },
        "doi": "https://dx.doi.org/10.1109/IV.2019.00022",
        "event": " The 23th International Conference on Information Visualisation ",
        "lecturer": [
            1580
        ],
        "pages_from": "74",
        "pages_to": "80",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Cartographic generalization",
            "displacement",
            "constrained optimization",
            "scale-aware mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "maruyama-2019-iv-image.png",
                "type": "image/png",
                "size": 58725,
                "path": "Publication:maruyama-2019-iv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/maruyama-2019-iv-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/maruyama-2019-iv/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2019-ThesisFF",
        "type_id": "otherreviewed",
        "tu_id": 282889,
        "repositum_id": null,
        "title": "Simulating Vision Impairments in VR and AR",
        "date": "2019-06-30",
        "abstract": "1.3 billion people worldwide are affected by vision impairments,\naccording to the World Health Organization. However, vision impairments\nare hardly ever taken into account when we design our\ncities, buildings, emergency signposting, or lighting systems. With\nthis research, we want to develop realistic, medically based simulations\nof eye diseases in VR and AR, which allow calibrating vision\nimpairments to the same level for different users. This allows us\nto conduct user studies with participants with normal sight and\ngraphically simulated vision impairments, to determine the effects\nof these impairments on perception, and to investigate lighting\nconcepts under impaired vision conditions. This thesis will, for the\nfirst time, provide methods for architects and designers to evaluate\ntheir designs for accessibility and to develop lighting systems that\ncan enhance the perception of people with vision impairments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 720,
            "image_height": 412,
            "name": "kroesl-2019-ThesisFF-image.jpg",
            "type": "image/jpeg",
            "size": 188500,
            "path": "Publication:kroesl-2019-ThesisFF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030
        ],
        "booktitle": "ACM SIGGRAPH THESIS FAST FORWARD 2019",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "vision impairments",
            "cataracts",
            "virtual reality",
            "augmented reality",
            "user study"
        ],
        "weblinks": [
            {
                "href": "https://s2019.siggraph.org/conference/programs-events/organization-events/thesis-papers-fast-forward/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "extended abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-ThesisFF-extended abstract.pdf",
                "type": "application/pdf",
                "size": 260300,
                "path": "Publication:kroesl-2019-ThesisFF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-extended abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-extended abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 720,
                "image_height": 412,
                "name": "kroesl-2019-ThesisFF-image.jpg",
                "type": "image/jpeg",
                "size": 188500,
                "path": "Publication:kroesl-2019-ThesisFF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-image:thumb{{size}}.png"
            },
            {
                "description": "submitted video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-ThesisFF-video.mp4",
                "type": "video/mp4",
                "size": 55490769,
                "path": "Publication:kroesl-2019-ThesisFF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/kroesl-2019-ThesisFF-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "abteilung"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ThesisFF/",
        "__class": "Publication"
    },
    {
        "id": "Thann_2019_01",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of Coherent Hierarchical Culling Revisited with Varied Parameters",
        "date": "2019-06-30",
        "abstract": "Point clouds received through various types of 3D-scanning techniques increase in size\nconstantly. To compensate for this fact,the performance of rendering point clouds has\nto be improved accordingly. In addition to view frustum culling, occlusion culling can be used to reduce the number of points that has to be loaded. The occlusion culling algorithm I evaluate is called \"CHC++: Coherent Hierarchical Culling Revisited\" [MBW08]. For this thesis, I implemented a parameterizable point cloud renderer that allowed me to test varied values for multiple parameters. While not all parameters are defined in the evaluated paper, all influence the algorithm’s performance. My evaluation shows that\nthe algorithm increases performance clearly for non-synthetic scenes. However, with\nthe scenes in this evaluation, Tighter Bounding Volumes introduced a slight decrease in performance instead of improving it. Furthermore, using an SSD instead of an HDD did not yield the expected impact on the loading speed.  Finally, I provide a general use case\nspecific decision guideline for choosing values for the parameters. My mplementation\nproduced for this thesis is available under the GNU Lesser General Public License, Version 3.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 483,
            "image_height": 212,
            "name": "Thann_2019_01-image.JPG",
            "type": "image/jpeg",
            "size": 24477,
            "path": "Publication:Thann_2019_01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1279
        ],
        "date_end": "2019-06-30",
        "date_start": "2015-10-12",
        "matrikelnr": "01025543",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Thann_2019_01-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 7557502,
                "path": "Publication:Thann_2019_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 483,
                "image_height": 212,
                "name": "Thann_2019_01-image.JPG",
                "type": "image/jpeg",
                "size": 24477,
                "path": "Publication:Thann_2019_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/Thann_2019_01-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Thann_2019_01/",
        "__class": "Publication"
    },
    {
        "id": "clemenz_2019_rosy_fields",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Rotationally Symmetric Direction Fields on 3D Surfaces",
        "date": "2019-06-28",
        "abstract": "We demonstrate the implementation of the Globally Optimal Direction Field algorithm\nby Knöppel et al. as a plugin for a geometry processing software. The plugin constructs\nN-RoSy fields of arbitrary degree by solving a smallest eigenvalue problem. For that, we\nuse a sparse Cholesky solver and the Inverse Power Method. The field can optionally be\naligned to the principal curvature induced by the geometry. We also added the option\nto use the improvements proposed by Pellenard et al. These improvements contain\nconstraints imposed on certain areas of the mesh. A linear least squares approach is\nthen used for solving the over-constrained system. Our main contribution is to clarify\nambiguities we found in these papers, especially regarding the constraints.\n\nWe tested the algorithm using meshes of different common sizes used in 3D modeling\nfor the computation time and ease of usage. Although the algorithm is very fast the\nresponsiveness starts to decline at about 6 * 10^4 polygons. We recommend not to use\nit on huge meshes or detailed 3D scans if fast results are important. The degree of\ncurvature alignment can be difficult to adjust. However, together with fast results,\ndifferent parameter settings can be tested relatively easy.\n\nThe results look very smooth and singularities are often located at geometric features.\nUsing constraints helps to align the field to mesh boundaries, sharp edges or, if it is\nwarped, to the principal curvature directions. Their use is very easy because the results\nare predictable. Only curvature constraints can sometimes be hard to predict and are\nbest used in conjunction with other constraints.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3840,
            "image_height": 1581,
            "name": "clemenz_2019_rosy_fields-image.jpg",
            "type": "image/jpeg",
            "size": 1417796,
            "path": "Publication:clemenz_2019_rosy_fields",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1562
        ],
        "co_supervisor": [
            1395
        ],
        "date_end": "2019-06-28",
        "date_start": "2018-05-22",
        "matrikelnr": "01226279",
        "supervisor": [
            1395
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "Direction Fields",
            "RoSy Fields",
            "Global Approach"
        ],
        "weblinks": [
            {
                "href": "https://gitlab.cg.tuwien.ac.at/perler/crossfields",
                "caption": "Source",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://instalod.com/#Home",
                "caption": "In Cooperation with InstaLOD",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3840,
                "image_height": 1581,
                "name": "clemenz_2019_rosy_fields-image.jpg",
                "type": "image/jpeg",
                "size": 1417796,
                "path": "Publication:clemenz_2019_rosy_fields",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "clemenz_2019_rosy_fields-thesis.pdf",
                "type": "application/pdf",
                "size": 7665923,
                "path": "Publication:clemenz_2019_rosy_fields",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/clemenz_2019_rosy_fields-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/clemenz_2019_rosy_fields/",
        "__class": "Publication"
    },
    {
        "id": "ganglberger2019",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "From Neurons to Behavior: Visual Analytics Methods for Heterogeneous Spatial Big Brain Data ",
        "date": "2019-06-25",
        "abstract": "Advances in neuro-imaging have allowed big brain initiatives and consortia to create vast resources of brain data that can be mined for insights into mental processes and biological principles. Research in this area does not only relate to mind and consciousness, but also to the understanding of many neurological disorders, such as Alzheimer’s disease, autism, and anxiety. Exploring the relationships between genes, brain circuitry, and behavior is therefore a key element in research that requires the joint analysis of a heterogeneous set of spatial brain data, including 3D imaging data, anatomical data, and brain networks at varying scales, resolutions, and modalities. Due to high-throughput imaging platforms, this data’s size and complexity goes beyond the state-of-the-art by several orders of magnitude. Current analytical workflows involve time-consuming manual data aggregation and extensive computational analysis in script-based toolboxes. Visual analytics methods for exploring big brain data can support neuroscientists in this process, so they can focus on understanding the data rather than handling it.\nIn this thesis, several contributions that target this problem are presented. The first contribution is a computational method that fuses genetic information with spatial gene expression data and connectivity data to predict functional neuroanatomical maps. These maps indicate, which brain areas might be related to a specific function or behavior. The approach has been applied to predict yet unknown functional neuroanatomy underlying multigeneic behavioral traits identified in genetic association studies and has demonstrated that rather than being randomly distributed throughout the brain, functionally-related gene sets accumulate in specific networks. The second contribution is the creation of a data structure that enables the interactive exploration of big brain network data with billions of edges. By utilizing the resulting hierarchical and spatial organization of the data, this approach allows neuroscientists on-demand queries of incoming/outgoing connections of arbitrary regions of interest on different anatomical scales. These queries would otherwise exceed the limits of current consumer level PCs. The data structure is used in the third contribution, a novel web-based framework to explore neurobiological imaging and connectivity data of different types, modalities, and scale. It employs a query-based interaction scheme to retrieve 3D spatial gene expressions and various types of connectivity to enable an interactive dissection of networks in real-time with respect to their genetic composition. The data is related to a hierarchical organization of common anatomical atlases that enables neuroscientists to compare multimodal networks on different scales in their anatomical context. Furthermore, the framework is designed to facilitate collaborative work with shareable comprehensive workflows on the web.\nAs a result, the approaches presented in this thesis may assist neuroscientists to refine their understanding of the functional organization of the brain beyond simple anatomical domains and expand their knowledge about how our genes affect our mind. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1235,
            "image_height": 709,
            "name": "ganglberger2019-image.png",
            "type": "image/png",
            "size": 460582,
            "path": "Publication:ganglberger2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1747
        ],
        "co_supervisor": [
            231
        ],
        "date_end": "2019",
        "date_start": "2014",
        "open_access": "yes",
        "reviewer_1": [
            459
        ],
        "reviewer_2": [
            1748
        ],
        "rigorosum": "2019-09-03",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1235,
                "image_height": 709,
                "name": "ganglberger2019-image.png",
                "type": "image/png",
                "size": 460582,
                "path": "Publication:ganglberger2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "ganglberger2019-PhD Thesis.pdf",
                "type": "application/pdf",
                "size": 7590840,
                "path": "Publication:ganglberger2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-PhD Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/ganglberger2019-PhD Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ganglberger2019/",
        "__class": "Publication"
    },
    {
        "id": "byska-2019-mdfc",
        "type_id": "journalpaper",
        "tu_id": 283263,
        "repositum_id": null,
        "title": "Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization",
        "date": "2019-06",
        "abstract": "Analyzing molecular dynamics (MD) simulations is a key aspect to understand protein dynamics and function. With increasing computational power, it is now possible to generate very long and complex simulations, which are cumbersome to explore using traditional 3D animations of protein movements. Guided by requirements derived from multiple focus groups with protein engineering experts, we designed and developed a novel interactive visual analysis approach for long and crowded MD simulations. In this approach, we link a dynamic 3D focus+context visualization with a 2D chart of time series data to guide the detection and navigation towards important spatio-temporal events. The 3D visualization renders elements of interest in more detail and increases the temporal resolution dependent on the time series data or the spatial region of interest. In case studies with different MD simulation data sets and research questions, we found that the proposed visual analysis approach facilitates exploratory analysis to generate, confirm, or reject hypotheses about causalities. Finally, we derived design guidelines for interactive visual analysis of complex MD simulation data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 783,
            "image_height": 717,
            "name": "byska-2019-mdfc-teaser.jpg",
            "type": "image/jpeg",
            "size": 95308,
            "path": "Publication:byska-2019-mdfc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1254,
            1196,
            1669,
            1499,
            1248,
            1110
        ],
        "cfp": {
            "name": "Eurovis 2019 CFP.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "91823",
            "orig_name": "Eurovis 2019 CFP.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-06-03",
        "date_to": "2019-06-07",
        "doi": "10.1111/cgf.13701",
        "event": "EuroVis 2019",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1254
        ],
        "location": "Porto, Portugal",
        "number": "3",
        "pages_from": "441",
        "pages_to": "453",
        "volume": "38",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [
            "scientific visualization",
            "user centered design"
        ],
        "weblinks": [
            {
                "href": "https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13701",
                "caption": "Wiley Online ",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "byska-2019-mdfc-paper.pdf",
                "type": "application/pdf",
                "size": 5805942,
                "path": "Publication:byska-2019-mdfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-paper:thumb{{size}}.png"
            },
            {
                "description": "Domain expert report of findings",
                "filetitle": "supplement",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "byska-2019-mdfc-supplement.pdf",
                "type": "application/pdf",
                "size": 2846584,
                "path": "Publication:byska-2019-mdfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-supplement:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 783,
                "image_height": 717,
                "name": "byska-2019-mdfc-teaser.jpg",
                "type": "image/jpeg",
                "size": 95308,
                "path": "Publication:byska-2019-mdfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "byska-2019-mdfc-video.mp4",
                "type": "video/mp4",
                "size": 222623560,
                "path": "Publication:byska-2019-mdfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/byska-2019-mdfc-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/byska-2019-mdfc/",
        "__class": "Publication"
    },
    {
        "id": "CORNEL-2019-IVF",
        "type_id": "journalpaper",
        "tu_id": 282894,
        "repositum_id": null,
        "title": "Interactive Visualization of Flood and Heavy Rain Simulations",
        "date": "2019-06",
        "abstract": "In this paper, we present a real-time technique to visualize large-scale adaptive height fields withC1-continuous surfacereconstruction. Grid-based shallow water simulation is an indispensable tool for interactive flood management applications.Height fields defined on adaptive grids are often the only viable option to store and process the massive simulation data. Theirvisualization requires the reconstruction of a continuous surface from the spatially discrete simulation data. For regular grids,fast linear and cubic interpolation are commonly used for surface reconstruction. For adaptive grids, however, there exists nohigher-order interpolation technique fast enough for interactive applications.Our proposed technique bridges the gap between fast linear and expensive higher-order interpolation for adaptive surfacereconstruction. During reconstruction, no matter if regular or adaptive, discretization and interpolation artifacts can occur,which domain experts consider misleading and unaesthetic. We take into account boundary conditions to eliminate these artifacts,which include water climbing uphill, diving towards walls, and leaking through thin objects. We apply realistic water shadingwith visual cues for depth perception and add waves and foam synthesized from the simulation data to emphasize flow directions.The versatility and performance of our technique are demonstrated in various real-world scenarios. A survey conducted withdomain experts of different backgrounds and concerned citizens proves the usefulness and effectiveness of our technique.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 567,
            "image_height": 321,
            "name": "CORNEL-2019-IVF-image.png",
            "type": "image/png",
            "size": 323302,
            "path": "Publication:CORNEL-2019-IVF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877,
            1688,
            1205,
            1207,
            193,
            1689,
            798
        ],
        "cfp": {
            "name": "Eurovis 2019-cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "138759",
            "orig_name": "Eurovis 2019-cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-06-03",
        "date_to": "2019-06-07",
        "doi": "10.1111/cgf.13669",
        "event": "Eurographics/VGTC Conference on Visualization (EuroVis) 2019",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            877
        ],
        "location": "Porto, Portugal",
        "number": "3",
        "pages_from": "25",
        "pages_to": "39",
        "volume": "38",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 567,
                "image_height": 321,
                "name": "CORNEL-2019-IVF-image.png",
                "type": "image/png",
                "size": 323302,
                "path": "Publication:CORNEL-2019-IVF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "CORNEL-2019-IVF-Paper.pdf",
                "type": "application/pdf",
                "size": 5349440,
                "path": "Publication:CORNEL-2019-IVF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/CORNEL-2019-IVF-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/CORNEL-2019-IVF/",
        "__class": "Publication"
    },
    {
        "id": "raidou_star2019",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "State-of-the-Art Report: Visual Computing in Radiation Therapy Planning",
        "date": "2019-06",
        "abstract": "Radiation therapy (RT) is one of the major curative approaches for cancer. It is a complex and risky treatment approach, which\nrequires precise planning, prior to the administration of the treatment. Visual Computing (VC) is a fundamental component of\nRT planning, providing solutions in all parts of the process—from imaging to delivery. Despite the significant technological\nadvancements of RT over the last decades, there are still many challenges to address. This survey provides an overview of\nthe compound planning process of RT, and of the ways that VC has supported RT in all its facets. The RT planning process\nis described to enable a basic understanding in the involved data, users and workflow steps. A systematic categorization and\nan extensive analysis of existing literature in the joint VC/RT research is presented, covering the entire planning process. The\nsurvey concludes with a discussion on lessons learnt, current status, open challenges, and future directions in VC/RT research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": null,
            "preview_image_height": null,
            "name": "raidou_star2019-.pdf",
            "type": "application/pdf",
            "size": 8627472,
            "path": "Publication:raidou_star2019",
            "preview_name": "raidou_star2019-:preview.pdf",
            "preview_type": "application/pdf",
            "preview_size": 295636,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1651,
            1410,
            1445,
            563,
            231
        ],
        "cfp": {
            "name": "Eurovis 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "81765",
            "orig_name": "Eurovis 2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "event": "EuroVis 2019",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1410
        ],
        "number": "38",
        "pages_from": "753",
        "pages_to": "779",
        "volume": "3",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "raidou_star2019-.pdf",
                "type": "application/pdf",
                "size": 8627472,
                "path": "Publication:raidou_star2019",
                "preview_name": "raidou_star2019-:preview.pdf",
                "preview_type": "application/pdf",
                "preview_size": 295636,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/raidou_star2019-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_star2019/",
        "__class": "Publication"
    },
    {
        "id": "takahashi-2019-acdt",
        "type_id": "journalpaper_notalk",
        "tu_id": 283264,
        "repositum_id": null,
        "title": "Mental Map Preservation for Progressively Labeling Railway Networks",
        "date": "2019-06",
        "abstract": "Schematizing railway networks for better readability is often achieved by aligning railway lines along the octilinear directions. However, such railway map layouts require further adjustment when placing station name labels. In this article, the authors present a novel approach to automating the placement of station names around the railway network while maximally respecting its original layout as the mental map. The key idea is to progressively annotate stations from congested central downtown areas to sparse rural areas. This is accomplished by introducing the sum of geodesic distances over the railway network to properly order the stations to be annotated first, and then elongating the line segments of the railway network while retaining their directions to spare enough labeling space around each station. Additional constraints are also introduced to restrict the aspect ratios of the region confined by the railway network for better preservation of the mental map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "takahashi-2019-acdt-image.png",
            "type": "image/png",
            "size": 29890,
            "path": "Publication:takahashi-2019-acdt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1580,
            1625,
            1626,
            1464,
            1676,
            1627
        ],
        "doi": "https://doi.org/10.4018/IJACDT.2019010103",
        "journal": "International Journal of Art, Culture and Design Technologies",
        "number": "1",
        "pages_from": "31",
        "pages_to": "50",
        "volume": "8",
        "research_areas": [
            "IllVis",
            "InfoVis"
        ],
        "keywords": [
            "Geodesic Distances",
            "Mental Maps",
            "Mixed-Integer Programming",
            "Progressive Annotation",
            "Railway Maps",
            "Schematic Layouts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "takahashi-2019-acdt-image.png",
                "type": "image/png",
                "size": 29890,
                "path": "Publication:takahashi-2019-acdt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "takahashi-2019-acdt-pdf.pdf",
                "type": "application/pdf",
                "size": 1599109,
                "path": "Publication:takahashi-2019-acdt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/takahashi-2019-acdt-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/takahashi-2019-acdt/",
        "__class": "Publication"
    },
    {
        "id": "kan-2019-dli",
        "type_id": "journalpaper",
        "tu_id": 280958,
        "repositum_id": null,
        "title": "DeepLight: Light Source Estimation for Augmented Reality using Deep Learning",
        "date": "2019-06",
        "abstract": "This paper presents a novel method for illumination estimation from RGB-D images. The main focus of the proposed method is to enhance visual coherence in augmented reality applications by providing accurate and temporally coherent estimates of real illumination. For this purpose, we designed and trained a deep neural network which calculates a dominant light direction from a single RGB-D image. Additionally, we propose a novel method for real-time outlier detection to achieve temporally coherent estimates. Our method for light source estimation in augmented reality was evaluated on the set of real scenes. Our results demonstrate that the neural network can successfully estimate light sources even in scenes which were not seen by the network during training. Moreover, we compared our results with illumination estimates calculated by the state-of-the-art method for illumination estimation. Finally, we demonstrate the applicability of our method on numerous augmented reality scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 627,
            "image_height": 458,
            "name": "kan-2019-dli-.jpg",
            "type": "image/jpeg",
            "size": 220193,
            "path": "Publication:kan-2019-dli",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1720,
            378
        ],
        "cfp": {
            "name": "CGI-Proceeding-CFP-v5.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "314155",
            "orig_name": "CGI-Proceeding-CFP-v5.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "10.1007/s00371-019-01666-x",
        "event": " Computer Graphics International 2019",
        "journal": "The Visual Computer",
        "lecturer": [
            378
        ],
        "number": "6",
        "open_access": "yes",
        "pages_from": "873",
        "pages_to": "883",
        "volume": "35",
        "research_areas": [
            "VR"
        ],
        "keywords": [
            "Light source estimation",
            "Augmented reality",
            "Photometric registration",
            "Deep learning"
        ],
        "weblinks": [
            {
                "href": "https://link.springer.com/article/10.1007/s00371-019-01666-x",
                "caption": null,
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 627,
                "image_height": 458,
                "name": "kan-2019-dli-.jpg",
                "type": "image/jpeg",
                "size": 220193,
                "path": "Publication:kan-2019-dli",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/kan-2019-dli-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kan-2019-dli/",
        "__class": "Publication"
    },
    {
        "id": "Troidl_2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Flow Visualization on Curved Manifolds",
        "date": "2019-05-28",
        "abstract": "Climate researchers often use simulations to generate 2D vector fields of wind or ocean currents. They need visualization tools to validate and further improve their research. In this work, we present a framework that is capable of visualizing unsteady 2D flow fields on curved surfaces. An important property of our framework is that it works intrinsically in 2D, instead of in 3D ambient space. Our primary example is the visualization of 2D geophysical flow on the 2-sphere. We build on methods from differential geometry to compute line integral convolution and path lines intrinsically on curved surfaces.\nWhile line integral convolution provides an overview of one time step of an unsteady\nflow field, path lines give us a more detailed insight into an unsteady flow field. We animate the line integral convolution images and the path lines to show the direction of the flow. Furthermore, we illuminate the path lines to improve spatial perception. Our visualizations are all computed in real time and can be used interactively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1431,
            "image_height": 1434,
            "name": "Troidl_2019-image.PNG",
            "type": "image/png",
            "size": 2199579,
            "path": "Publication:Troidl_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1659
        ],
        "date_end": "2019-05-29",
        "date_start": "2018-11-02",
        "matrikelnr": "01525071",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.youtube.com/watch?v=5B0BHSpi_6g&t=1s",
                "caption": "Youtube: Flow Visualization on Curved Manifolds",
                "description": "Flow Visualization on Curved Manifolds",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Troidl_2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 15846221,
                "path": "Publication:Troidl_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1431,
                "image_height": 1434,
                "name": "Troidl_2019-image.PNG",
                "type": "image/png",
                "size": 2199579,
                "path": "Publication:Troidl_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/Troidl_2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Troidl_2019/",
        "__class": "Publication"
    },
    {
        "id": "miao_nantech_2019",
        "type_id": "poster",
        "tu_id": 283265,
        "repositum_id": null,
        "title": "Interactive Visual Analysis for the Design of DNA Nanostructures",
        "date": "2019-05-27",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 647,
            "preview_image_height": 918,
            "name": "miao_nantech_2019-.pdf",
            "type": "application/pdf",
            "size": 2548866,
            "path": "Publication:miao_nantech_2019",
            "preview_name": "miao_nantech_2019-:preview.png",
            "preview_type": "image/png",
            "preview_size": 470720,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            1474,
            171,
            1473
        ],
        "date_from": "2019-05-27",
        "date_to": "2019-05-29",
        "event": "NANTECH 2019 – Nucleic Acid Nanotechnology: From Algorithmic Design to Biochemical Applications – Espoo, Finland",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 647,
                "preview_image_height": 918,
                "name": "miao_nantech_2019-.pdf",
                "type": "application/pdf",
                "size": 2548866,
                "path": "Publication:miao_nantech_2019",
                "preview_name": "miao_nantech_2019-:preview.png",
                "preview_type": "image/png",
                "preview_size": 470720,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/miao_nantech_2019-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/miao_nantech_2019/",
        "__class": "Publication"
    },
    {
        "id": "plank-2017-sldg",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/8559",
        "title": "Effective Line Drawing Generation",
        "date": "2019-05-27",
        "abstract": "Advanced rendering algorithms such as suggestive contours are able to depict objects in the style of line drawings with various levels of detail. How to select an appropriate level of detail is based on visual aesthetics rather than on substantial characteristics like the accuracy of 3D shape perception. The aim of this thesis is to develop a novel approach for effectively generating line drawings in the style of suggestive contours that are optimized for human 3D shape perception while retaining the amount of ink to a minimum. The proposed post-processing meta-heuristic for optimizing line drawings uses empirical thresholds based on probing human shape perception. The heuristic can also\nbe used to optimize line drawings in terms of other visual characteristics, e.g., cognitive load, and for other line drawings styles such as ridges and valleys.\nThe optimization routine is based on a conducted perceptual user study using the gauge figure task to collect more than 17, 000 high-quality user estimates of surface normals from suggestive contours renderings. By analyzing these data points, more in-depth understanding of how humans perceive 3D shape from line drawings is gained. Particularly the accuracy of 3D shape perception and shape ambiguity in regards to changing the level of detail and type of object presented is investigated. In addition, the collected data points are used to calculate two pixel-based perceptual characteristics: the optimal size of a local neighborhood area to estimate 3D shape from and the optimal local ink percentage in this area.\nIn the analysis, a neighborhood size of 36 pixels with an optimal ink percentage of\n17.3% could be identified. These thresholds are used to optimize suggestive contours\nrenderings in a post-processing stage using a greedy nearest neighbor optimization scheme.\nThe proposed meta-heuristic procedure yields visually convincing results where each\npixel value is close to the identified thresholds. In terms of practical application, the optimization scheme can be used in areas where high 3D shape understanding is essential such as furniture manuals or architectural renderings. Both the empirical results regarding shape understanding as well as the practical applications of the thesis’s results form the basis to optimize other line drawing methods and to understand better how humans\nperceive shape from lines.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 190,
            "name": "plank-2017-sldg-image.JPG",
            "type": "image/jpeg",
            "size": 16355,
            "path": "Publication:plank-2017-sldg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1293
        ],
        "date_end": "2019-05-27",
        "date_start": "2017-07-01",
        "diploma_examina": "2019-05-27",
        "doi": "10.34726/hss.2018.56226",
        "matrikelnr": "1225804",
        "open_access": "yes",
        "pages": "84",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis",
            "Perception"
        ],
        "keywords": [
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 190,
                "name": "plank-2017-sldg-image.JPG",
                "type": "image/jpeg",
                "size": 16355,
                "path": "Publication:plank-2017-sldg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "plank-2017-sldg-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 17505561,
                "path": "Publication:plank-2017-sldg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/plank-2017-sldg-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/plank-2017-sldg/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-bmc",
        "type_id": "journalpaper_notalk",
        "tu_id": 280645,
        "repositum_id": null,
        "title": "Metabopolis: Scalable Network Layout for Biological Pathway Diagrams in Urban Map Style",
        "date": "2019-05-15",
        "abstract": "Background\nBiological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms often sacrifice low-level details to maintain high-level information, which complicates the entire image to large biochemical systems such as human metabolic pathways.\n\nResults\nOur work is inspired by concepts from urban planning since we create a visual hierarchy of biological pathways, which is analogous to city blocks and grid-like road networks in an urban area. We automatize the manual drawing process of biologists by first partitioning the map domain into multiple sub-blocks, and then building the corresponding pathways by routing edges schematically, to maintain the global and local context simultaneously. Our system incorporates constrained floor-planning and network-flow algorithms to optimize the layout of sub-blocks and to distribute the edge density along the map domain. We have developed the approach in close collaboration with domain experts and present their feedback on the pathway diagrams based on selected use cases.\n\nConclusions\nWe present a new approach for computing biological pathway maps that untangles visual clutter by decomposing large networks into semantic sub-networks and bundling long edges to create space for presenting relationships systematically.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2019-bmc-image.png",
            "type": "image/png",
            "size": 107492,
            "path": "Publication:wu-2019-bmc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            1673,
            171
        ],
        "doi": "http://doi.org/10.1186/s12859-019-2779-4",
        "journal": "BMC Bioinformatics",
        "number": "187",
        "pages_from": "1",
        "pages_to": "20",
        "volume": "20",
        "research_areas": [
            "BioVis",
            "IllVis",
            "InfoVis"
        ],
        "keywords": [
            "Biological pathways",
            "Graph drawing",
            "Mapmetaphor",
            "Orthogonallayout",
            "Floorplanning",
            "Edgerouting"
        ],
        "weblinks": [
            {
                "href": "https://www.youtube.com/watch?v=AhWCIGTxqAg",
                "caption": "video",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2019-bmc-image.png",
                "type": "image/png",
                "size": 107492,
                "path": "Publication:wu-2019-bmc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2019-bmc-paper.pdf",
                "type": "application/pdf",
                "size": 8528804,
                "path": "Publication:wu-2019-bmc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/wu-2019-bmc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-bmc/",
        "__class": "Publication"
    },
    {
        "id": "Riegelnegg_2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Conveying a Sense of Scale in 3D Planetary Environments",
        "date": "2019-05-05",
        "abstract": "3D visualizations of Mars enable scientists to explore the Martian surface in great detail and play an essential role in planetary science, mission planning, and the communication of scientific findings. Due to the unfamiliar environment depicted in these visualizations, conveying a sense of scale is necessary. In this thesis, we characterize the problem space of conveying scale in 3D visualizations of Mars projected onto a 2D screen and design\nrepresentations that satisfy the  requirements of specific use cases. We discuss challenges posed by different types of scale, magnitudes of scale, use cases, and levels of expertise.\nThe designed representations include scale-bars, scale-boxes, known-object comparison,\ntrue-layer-thickness, contour-lines, vertical exaggeration, distance shading, and landing ellipses. We received informal feedback for each representation from a planetary scientist and conducted an experiment for known-object comparison with 20 non-experts. The feedback suggests that our representations are capable of  conveying a sense of scale in 3D visualizations of Mars for their specific use cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 236,
            "image_height": 163,
            "name": "Riegelnegg_2019-image.JPG",
            "type": "image/jpeg",
            "size": 13110,
            "path": "Publication:Riegelnegg_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1655
        ],
        "date_end": "2019-05-05",
        "date_start": "2018-12-10",
        "matrikelnr": "00510453",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Riegelnegg_2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 10791049,
                "path": "Publication:Riegelnegg_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 236,
                "image_height": 163,
                "name": "Riegelnegg_2019-image.JPG",
                "type": "image/jpeg",
                "size": 13110,
                "path": "Publication:Riegelnegg_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/Riegelnegg_2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Riegelnegg_2019/",
        "__class": "Publication"
    },
    {
        "id": "STEINLECHNER-2019-APS",
        "type_id": "inproceedings",
        "tu_id": 283267,
        "repositum_id": null,
        "title": "Adaptive Point-cloud Segmentation for Assisted Interactions",
        "date": "2019-05",
        "abstract": "In this work, we propose an interaction-driven approach streamlined to\nsupport and improve a wide range of real-time 2D interaction metaphors\nfor arbitrarily large pointclouds based on detected primitive shapes.\nRather than performing shape detection as a costly pre-processing step\non the entire point cloud at once, a user-controlled interaction\ndetermines the region that is to be segmented next. By keeping the size\nof the region and the number of points small, the algorithm produces\nmeaningful results and therefore feedback on the local geometry within a\nfraction of a second. We can apply these finding for improved picking\nand selection metaphors in large point clouds, and propose further novel\nshape-assisted interactions that utilize this local semantic information\nto improve the user’s workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1573,
            "image_height": 588,
            "name": "STEINLECHNER-2019-APS-teaser.PNG",
            "type": "image/png",
            "size": 1889379,
            "path": "Publication:STEINLECHNER-2019-APS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1387,
            1539,
            678,
            1640,
            1002,
            228,
            193
        ],
        "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games",
        "cfp": {
            "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "31008",
            "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-05-21",
        "date_to": "2019-05-23",
        "doi": "10.1145/3306131.3317023",
        "editor": "Blenkhorn, Ari Rapkin",
        "event": "33rd Symposium on Interactive 3D Graphics and Games",
        "isbn": "978-1-4503-6310-5",
        "lecturer": [
            1387
        ],
        "location": "Montreal, Quebec, Canada",
        "pages_from": "14:1",
        "pages_to": "14:9",
        "publisher": "ACM",
        "series": "I3D ’19",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Pointcloud Segmentation",
            "Shape Detection",
            "Interactive Editing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STEINLECHNER-2019-APS-draft.pdf",
                "type": "application/pdf",
                "size": 19929621,
                "path": "Publication:STEINLECHNER-2019-APS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-draft:thumb{{size}}.png"
            },
            {
                "description": "Our novel interactive approach for shape detection in point clouds allows for sophisticated interactions, like shape-assisted lasso selection, shape-assisted volumetric brush, and shape-assisted local LoD increment.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1573,
                "image_height": 588,
                "name": "STEINLECHNER-2019-APS-teaser.PNG",
                "type": "image/png",
                "size": 1889379,
                "path": "Publication:STEINLECHNER-2019-APS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/STEINLECHNER-2019-APS-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-APS/",
        "__class": "Publication"
    },
    {
        "id": "kerbl_2019_planet_poster",
        "type_id": "poster",
        "tu_id": 283273,
        "repositum_id": null,
        "title": "Real-time Rendering of Procedural Planets at Arbitrary Altitudes",
        "date": "2019-05",
        "abstract": "Focusing on real-time, high-fidelity rendering, we present a novel approach for combined consideration of four major phenomena that define the visual representation of entire planets: We present a simple and fast solution for a distortion-free generation of 3D planetary terrain, spherical ocean waves and efficient rendering of volumetric clouds along with atmospheric scattering. Our approach to terrain and ocean mesh generation relies on a projected, persistent grid that can instantaneously and smoothly adapt to fast-changing viewpoints. For generating planetary ocean surfaces, we present a wave function that creates seamless, evenly spaced waves across the entire planet without causing unsightly artifacts. We further show how to render volumetric clouds in combination with precomputed atmospheric scattering and account for their contribution to light transport above ground. Our method provides mathematically consistent approximations of cloud-atmosphere interactions and works for any view point and direction, ensuring continuous transitions in appearance as the viewer moves from ground to space. Among others, our approach supports cloud shadows, light shafts, ocean reflections, and earth shadows on the clouds. The sum of these effects can be visualized at more than 120 frames per second on current graphics processing units.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "atmosphere",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1537,
            "image_height": 1074,
            "name": "kerbl_2019_planet_poster-atmosphere.png",
            "type": "image/png",
            "size": 692730,
            "path": "Publication:kerbl_2019_planet_poster",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1663,
            1661,
            1664,
            1650,
            1662
        ],
        "cfp": {
            "name": "cfp.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "352813",
            "orig_name": "cfp.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-05-21",
        "date_to": "2019-05-23",
        "event": "I3D 2019",
        "location": "Montreal, Canada",
        "note": "Voted best poster of I3D '19",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "planet, rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "atmosphere",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1537,
                "image_height": 1074,
                "name": "kerbl_2019_planet_poster-atmosphere.png",
                "type": "image/png",
                "size": 692730,
                "path": "Publication:kerbl_2019_planet_poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-atmosphere:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "ground",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "kerbl_2019_planet_poster-ground.png",
                "type": "image/png",
                "size": 771796,
                "path": "Publication:kerbl_2019_planet_poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-ground.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-ground:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "sunrise",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "kerbl_2019_planet_poster-sunrise.png",
                "type": "image/png",
                "size": 6232017,
                "path": "Publication:kerbl_2019_planet_poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-sunrise.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-sunrise:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "waves",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "kerbl_2019_planet_poster-waves.png",
                "type": "image/png",
                "size": 788596,
                "path": "Publication:kerbl_2019_planet_poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-waves.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/kerbl_2019_planet_poster-waves:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kerbl_2019_planet_poster/",
        "__class": "Publication"
    },
    {
        "id": "LUKSCH-2019-IGI",
        "type_id": "inproceedings",
        "tu_id": 283266,
        "repositum_id": null,
        "title": "Incrementally Baked Global Illumination",
        "date": "2019-05",
        "abstract": "Global Illumination is affected by the slightest change in a 3D scene,\nrequiring a complete reevaluation of the distributed light. In cases\nwhere real-time algorithms are not applicable due to high demands on the\nachievable accuracy, this recomputation from scratch results in\nartifacts like flickering or noise, disturbing the visual appearance and\nnegatively affecting interactive lighting design workflows. We propose a\nnovel system tackling this problem by providing incremental updates of a\nbaked global illumination solution after scene modifications, and a\nre-convergence after a few seconds. Using specifically targeted\nincremental data structures and prioritization strategies in a\nmany-light global illumination algorithm, we compute a differential\nupdate from one illumination state to another. We further demonstrate\nthe use of a novel error balancing strategy making it possible to\nprioritize the illumination updates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 601,
            "image_height": 240,
            "name": "LUKSCH-2019-IGI-teaser.png",
            "type": "image/png",
            "size": 152670,
            "path": "Publication:LUKSCH-2019-IGI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659,
            193,
            678
        ],
        "booktitle": "Proceedings of the 33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)",
        "cfp": {
            "name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "31008",
            "orig_name": "I3D 2019 _ Symposium on Interactive 3D Graphics and Games.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-05-21",
        "date_to": "2019-05-23",
        "doi": "10.1145/3306131.3317015",
        "editor": "Blenkhorn, Ari Rapkin",
        "event": "33rd Symposium on Interactive 3D Graphics and Games (I3D 2019)",
        "isbn": "978-1-4503-6310-5",
        "lecturer": [
            659
        ],
        "location": "Montreal, Quebec, Canada",
        "pages_from": "4:1",
        "pages_to": "4:10",
        "publisher": "ACM",
        "series": "I3D ’19",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Global Illumination",
            "Instant Radiosity",
            "Lightmaps"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "bonus video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "LUKSCH-2019-IGI-bonus video.mp4",
                "type": "video/mp4",
                "size": 50423564,
                "path": "Publication:LUKSCH-2019-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-bonus video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LUKSCH-2019-IGI-draft.pdf",
                "type": "application/pdf",
                "size": 42229929,
                "path": "Publication:LUKSCH-2019-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 601,
                "image_height": 240,
                "name": "LUKSCH-2019-IGI-teaser.png",
                "type": "image/png",
                "size": 152670,
                "path": "Publication:LUKSCH-2019-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LUKSCH-2019-IGI-video.mp4",
                "type": "video/mp4",
                "size": 108320845,
                "path": "Publication:LUKSCH-2019-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/LUKSCH-2019-IGI-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/LUKSCH-2019-IGI/",
        "__class": "Publication"
    },
    {
        "id": "Bernold_2019",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Establishing Precision Rehabilitation: Visual Analytics for predicting the outcome of personalized rehabilitation processes",
        "date": "2019-04-30",
        "abstract": "Precision medicine is a promising approach aiming to improve a patient’s treatment by\ntaking individual variability into account. Means to analyze and predict the impact of\nvarying treatment strategies to subcohorts of patients are required in order to successfully introduce precision medicine into rehabilitation, i.e., precision rehabilitation. Large and complex data sets are the necessary foundation for this kind of analysis. As the existing means of analysis are limited, the exploration of available data is currently challenging.\nThe thesis aims to address this issue by designing new Visual Analytics strategies that support the exploratory tasks of users involved in precision rehabilitation.\nThe main contribution of the diploma thesis is a Visual Analytics application called\npreha that allows clinical domain experts and engineers to fulfil their data analytics tasks in the rehabilitation context. This application was designed and implemented in cooperation with employees of the Austrian rehabilitation provider VAMED. Flexible interactive dashboards including a variety of visualizations are used as the front end. Additionally, a user task analysis accomplished through interview sessions with clinical and technical experts is presented. For the data analysis, we use a data set of 46,000\npatients from VAMED’s electronic health record. A comprehensive tool for preprocessing rehabilitation data, including cleaning non-validated health assessment scores, is provided.\nRehabilitation outcome is predicted by utilizing a machine learning application based on random forest regression. Another contribution is the design and implementation of an interactive tree map visualization for the used dashboard. Usage scenarios and evaluation sessions are performed to prove the feasibility of the proposed solution, showing that Visual Analytics is capable of establishing precision rehabilitation. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "hidden",
            "image_width": 611,
            "image_height": 333,
            "name": "Bernold_2019-image.JPG",
            "type": "image/jpeg",
            "size": 44608,
            "path": "Publication:Bernold_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bernold_2019/Bernold_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bernold_2019/Bernold_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1654
        ],
        "date_end": "2019-04-30",
        "date_start": "2018-09-17",
        "matrikelnr": "01325845",
        "open_access": "no",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Bernold_2019/",
        "__class": "Publication"
    },
    {
        "id": "Rippberger_2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data-Driven Anatomical Layouting of Brain Network Graphs",
        "date": "2019-04-18",
        "abstract": "The visualization of brain networks today offers a variety of different tools and approaches. Representations in 2D such as connectograms, connectivity matrices, and node-link diagrams are common but an abstract visualization of the network without any anatomical context. Visualizations tools show anatomical context in 2D but adjust it especially for\na certain species as for example the fruit fly’s brain. This project presents a tool for data-driven brain network visualization using the open-source graph library Cytoscape.js to avoid hard coded spatial constraints. The goal of the project was to find a layout algorithm that resembles the anatomical structure of the brain visualized without any hard coded constraints. After testing the layouts, they have been evaluated on different\nproperties like symmetry, node overlapping, and anatomical resemblence. Additionally,\nwe conducted an open discussion with collaborators of the Research Institute of Molecular Pathology (IMP) in Vienna and present the results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 220,
            "image_height": 180,
            "name": "Rippberger_2019-image.JPG",
            "type": "image/jpeg",
            "size": 18446,
            "path": "Publication:Rippberger_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1648
        ],
        "date_end": "2019-04-18",
        "date_start": "2018-10-10",
        "matrikelnr": "01307685",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Rippberger_2019-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 19036695,
                "path": "Publication:Rippberger_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 220,
                "image_height": 180,
                "name": "Rippberger_2019-image.JPG",
                "type": "image/jpeg",
                "size": 18446,
                "path": "Publication:Rippberger_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/Rippberger_2019-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Rippberger_2019/",
        "__class": "Publication"
    },
    {
        "id": "vasileva-2019-smw",
        "type_id": "poster",
        "tu_id": 283326,
        "repositum_id": null,
        "title": "OptiRoute: Interactive Maps for Wayfinding in a Complex Environment",
        "date": "2019-04-11",
        "abstract": "Visitors to amusement parks use mobile map appli- cations to decide where to go and to plan efficient routes. Such applications are especially helpful when visitors wish to avoid re-tracking their steps or visiting regions in the park several times. Visitors have limited time in the park, which typically covers a very large area, and the attractions have waiting times of varying duration. Time management is therefore important. In this paper, we propose a new visualization technique to support such route decision making, using an interactive environment. The main contribution of our system, OptiRoute, is the automatic computation of an optimal route between selected attractions as well as its effective visualization, which focuses on reducing visual clutter. This is achieved by improving the branch and bound route-finding algorithm, and introducing an intersection minimization algorithm for route representation. We demonstrate the feasibility of our approach through a case study of Tokyo Disneyland, in addition to a user study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1068,
            "image_height": 726,
            "name": "vasileva-2019-smw-image.png",
            "type": "image/png",
            "size": 255384,
            "path": "Publication:vasileva-2019-smw",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1593,
            1464
        ],
        "cfp": {
            "name": "sm2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "78789",
            "orig_name": "sm2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "event": "schematic Mapping Workshop 2019",
        "note": "Best Poster Award",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            " Maps",
            "Route finding",
            "Wayfinding"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1068,
                "image_height": 726,
                "name": "vasileva-2019-smw-image.png",
                "type": "image/png",
                "size": 255384,
                "path": "Publication:vasileva-2019-smw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vasileva-2019-smw-paper.pdf",
                "type": "application/pdf",
                "size": 357111,
                "path": "Publication:vasileva-2019-smw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/vasileva-2019-smw-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/vasileva-2019-smw/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-smw",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": " A Survey on Computing Schematic Network Maps: The Challenge to Interactivity",
        "date": "2019-04-11",
        "abstract": "Schematic maps are in daily use to show the connec- tivity of subway systems and to facilitate travellers to plan their journeys effectively. This study surveys up-to-date algorithmic approaches in order to give an overview of the state of the art in schematic network mapping. The study investigates the hypothesis that the choice of algorithmic approach is often guided by the requirements of the mapping application. For example, an algorithm that computes globally optimal solutions for schematic maps is capable of producing results for printing, while it is not suitable for computing instant layouts due to its long running time. Our analysis and discussion, therefore, focus on the compu- tational complexity of the problem formulation and the running times of the schematic map algorithms, including algorithmic network layout techniques and station labeling techniques. The correlation between problem complexity and running time is then visually depicted using scatter plot diagrams. Moreover, since metro maps are common metaphors for data visualization, we also investigate online tools and application domains using metro map representations for analytics purposes, and finally summarize the potential future opportunities for schematic maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2019-smw-image.png",
            "type": "image/png",
            "size": 36787,
            "path": "Publication:wu-2019-smw",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1675,
            1580,
            1579
        ],
        "cfp": {
            "name": "sm2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "78789",
            "orig_name": "sm2019.pdf",
            "ext": "pdf"
        },
        "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-position-5.pdf",
        "event": "The 2nd Schematic Mapping Workshop 2019",
        "lecturer": [
            1464
        ],
        "location": "Vienna, Austria",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Metro Maps",
            "Graph Drawing",
            "Metaphors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2019-smw-image.png",
                "type": "image/png",
                "size": 36787,
                "path": "Publication:wu-2019-smw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2019-smw-paper.pdf",
                "type": "application/pdf",
                "size": 2849219,
                "path": "Publication:wu-2019-smw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/wu-2019-smw-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smw/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-smwp",
        "type_id": "poster",
        "tu_id": 283325,
        "repositum_id": null,
        "title": "Aspect-Ratio-Preserved Labeling on Metro Maps",
        "date": "2019-04-11",
        "abstract": "For better readability, metro lines are often aligned along the octilinear directions. Predefined layouts, however, limit the feasibility of placing station name labels. In this paper, we present a novel approach to automating the placement of station names around a schematic network while maximally respecting its original layout as the mental map. The idea behind the proposed approach is to progressively annotate stations from congested central downtown areas to sparse rural areas by intro- ducing the sum of geodesic distances over the network to identify the proper order of stations to be annotated. Our approach elongates line segments of the network without changing their directions to spare labeling space around the station. Additional constraints are introduced to restrict the aspect ratios of the region confined by the metro network for better preservation of the mental map in the original schematic layout.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 205,
            "name": "wu-2019-smwp-image.png",
            "type": "image/png",
            "size": 27213,
            "path": "Publication:wu-2019-smwp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1625,
            1626,
            1676,
            1627,
            1580
        ],
        "cfp": {
            "name": "sm2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "78789",
            "orig_name": "sm2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019",
        "date_to": "2019",
        "doi": "https://www.ac.tuwien.ac.at/files/pub/smw19-paper-5.pdf",
        "event": "Schematic Mapping Workshop 2019",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Progressive Annotation",
            "Geodesic Distances",
            "Schematic Layout",
            "Mental Maps",
            "Mixed-Integer Programming"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 205,
                "name": "wu-2019-smwp-image.png",
                "type": "image/png",
                "size": 27213,
                "path": "Publication:wu-2019-smwp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2019-smwp-paper.pdf",
                "type": "application/pdf",
                "size": 401145,
                "path": "Publication:wu-2019-smwp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/wu-2019-smwp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-smwp/",
        "__class": "Publication"
    },
    {
        "id": "bernold-2019-epr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Establishing Precision Rehabilitation: Visual Analytics for predicting the outcome of personalized rehabilitation processes",
        "date": "2019-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 1916,
            "preview_image_height": 1070,
            "name": "bernold-2019-epr-.pdf",
            "type": "application/pdf",
            "size": 14511527,
            "path": "Publication:bernold-2019-epr",
            "preview_name": "bernold-2019-epr-:preview.png",
            "preview_type": "image/png",
            "preview_size": 1090868,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1654
        ],
        "co_supervisor": [
            1410
        ],
        "date_end": "2019",
        "date_start": "2018",
        "diploma_examina": "2019-06",
        "matrikelnr": "01325845",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1916,
                "preview_image_height": 1070,
                "name": "bernold-2019-epr-.pdf",
                "type": "application/pdf",
                "size": 14511527,
                "path": "Publication:bernold-2019-epr",
                "preview_name": "bernold-2019-epr-:preview.png",
                "preview_type": "image/png",
                "preview_size": 1090868,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/bernold-2019-epr-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/bernold-2019-epr/",
        "__class": "Publication"
    },
    {
        "id": "raidou_RO2019",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "PO-0962 Bladder changes during first week of RT for prostate cancer determine the risk of urinary toxicity",
        "date": "2019-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1444,
            1410,
            1670,
            1568,
            1569,
            1671,
            1672,
            1445
        ],
        "booktitle": "Radiotherapy and Oncology",
        "cfp": {
            "name": "1-s2.0-S0167814019326374-main.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "91275",
            "orig_name": "1-s2.0-S0167814019326374-main.pdf",
            "ext": "pdf"
        },
        "doi": "https://doi.org/10.1016/S0167-8140(19)31382-9",
        "event": "ESTRO 38",
        "lecturer": [
            1444
        ],
        "pages_from": "S522",
        "pages_to": "S523",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.thegreenjournal.com/article/S0167-8140(19)31382-9/fulltext",
                "caption": "Link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou_RO2019/",
        "__class": "Publication"
    },
    {
        "id": "samoul-2019-cnp",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Comparison of NLP Pipelines",
        "date": "2019-04",
        "abstract": "Natural Language Processing (NLP) is a sub-field of artificial intelligence (AI). It enables computers to understand, process\nand analyze large amounts of unstructured natural language data (raw text). Nowadays with the new techniques of machine\nlearning, we got good performance and brings us closer to unfolding the semantic meaning of the text. However, it is far\nfrom perfect. Therefore, an alternative approach to helping humans understand a text corpus is to provide a visualization of the\ncontent. To generate such a visualization, several NLP steps are necessary to convert the raw text into features, such as weighted\nkeywords or phrases, that can be visualized. The words to be visualized and their weights strongly depend on which NLP steps\nare performed, in which order, and with which parameters. However, there is currently no standard how to set up such an\nNLP pipeline and NLP pipeline configurations vary significantly across visualizations and input texts. Our project consists of\nvisualizing high dimensional data with different pre-processing steps with a different order. To compare the results, we choose\na well-known and wide-spread overview visualization technique: word clouds. Word clouds are composed of words used in a\nparticular text or subject, in which the size of each word indicates its weight computed in the course of the NLP pipeline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1599,
            "image_height": 754,
            "name": "samoul-2019-cnp-screenshot.jpg",
            "type": "image/jpeg",
            "size": 415531,
            "path": "Publication:samoul-2019-cnp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1644
        ],
        "date_end": "2019-04",
        "date_start": "2018-11",
        "matrikelnr": "11833154",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "samoul-2019-cnp-Report.pdf",
                "type": "application/pdf",
                "size": 538545,
                "path": "Publication:samoul-2019-cnp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-Report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1599,
                "image_height": 754,
                "name": "samoul-2019-cnp-screenshot.jpg",
                "type": "image/jpeg",
                "size": 415531,
                "path": "Publication:samoul-2019-cnp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/samoul-2019-cnp-screenshot:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/samoul-2019-cnp/",
        "__class": "Publication"
    },
    {
        "id": "heinz-2019-psi",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Rendering of Interactive Particle Systems for Real-Time Applications",
        "date": "2019-04",
        "abstract": "Particle systems are widely used in real-time applications. This thesis presents and compares several state-of-the-art methods for rendering and simulating particle systems. In computer graphics, particle systems are used to represent fluids like water, gas-like substances like fire and smoke or effects like explosions and fireworks. In the case of water, each particle can be interpreted as one or more waterdrops. To simulate a firework, the particles can be seen as sparks, and for smoke or fire big particles can be used and blended over each other. In the context of this thesis all described techniques can be associated with either rendering or simulation. For rendering a single particle using the graphics processing unit (GPU), several methods exist. Probably the easiest would be to draw a texture onto a quad that is always looking towards the camera. This is called Billboarding and can be implemented very easily and efficiently. One drawback is that the hard edges of the drawn quad can become visible, when parts of the particle overlap with other objects in the scene. In this case the volumetric appearance of the particle can easily be destroyed. In order to avoid this, the transparency can be adapted near the region of overlap in such a way that the hard edges are smoothed out. This method is called Soft Particles and is used, because it increases the picture quality of the particle. The simulation, as the main topic of this work, can be interpreted as the approximation of a physical behavior, that can be achieved by manipulation of the data. Therefore it is about the changing, creation and deletion of particles. A raindrop-particle, as an example, is created in the sky in a cloud, then fall towards the ground, and at the ground the particle gets deleted. It is obvious that a system may contain a high number of particles in order to obtain the phenomenon to be approximated. In real-time applications, all particles should ideally be simulated at least 60 times per second, but this is not absolutely necessary in the type of simulation, that underlies this work. Therefore, an efficient method for simulation is very important. In this work three different basic methods for simulation are presented and compared. The two most important differences are the memory management and the way of computation of the simulation. While in one technique the particle data is stored in the main memory and the computation is done by the CPU, these two processes are outsourced to the GPU, when using one of the other methods. At the end of each simulation step the particles are checked against collision with other scene objects. In case of a collision the particle is reflected respectively. In order to represent transparent substances like smoke properly the particles have to be sorted and - starting with the farthest away - rendered. The easiest way would be to sort the particles according to their distance to the camera. When simulation is done on the CPU this can be easily achieved using classical sort algorithms, but when storing the particle data on the GPU other algorithms, like the Bitonic Merge Sort, have to be used. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1308,
            "image_height": 1308,
            "name": "heinz-2019-psi-image.jpg",
            "type": "image/jpeg",
            "size": 353479,
            "path": "Publication:heinz-2019-psi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1528
        ],
        "date_end": "2019-04",
        "date_start": "2017-12",
        "matrikelnr": "1426648",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Particle System",
            "Real-time Rendering",
            "Particle Interaction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1308,
                "image_height": 1308,
                "name": "heinz-2019-psi-image.jpg",
                "type": "image/jpeg",
                "size": 353479,
                "path": "Publication:heinz-2019-psi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-image:thumb{{size}}.png"
            },
            {
                "description": "Thesis (PDF)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "heinz-2019-psi-thesis.pdf",
                "type": "application/pdf",
                "size": 12255390,
                "path": "Publication:heinz-2019-psi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/heinz-2019-psi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/heinz-2019-psi/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-2019-LCO",
        "type_id": "poster",
        "tu_id": 283339,
        "repositum_id": null,
        "title": "Live Coding of a VR Render Engine in VR",
        "date": "2019-03-27",
        "abstract": "Live coding in virtual reality allows users to create and modify their surroundings through code without the need to leave the virtual reality environment. Previous work focuses on modifying the scene. We propose an application that allows developers to modify virtually everything at runtime, including the scene but also the render engine, shader code and input handling, using standard desktop IDEs through a desktop mirror.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Modifying brush generation and rendering code at runtime in VR.",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1006,
            "image_height": 743,
            "name": "schuetz-2019-LCO-.png",
            "type": "image/png",
            "size": 460185,
            "path": "Publication:schuetz-2019-LCO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            193
        ],
        "address": "http://ieeevr.org/2019/",
        "cfp": {
            "name": "cfposters_ieeevr_2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "516102",
            "orig_name": "cfposters_ieeevr_2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-03",
        "date_to": "2019-03",
        "doi": "https://doi.org/10.1109/VR.2019.8797760",
        "event": "IEEE VR 2019",
        "location": "Osaka",
        "pages_from": "1150",
        "pages_to": "1151",
        "publisher": "IEEE",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "virtual reality",
            "live coding",
            "VR"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/Fenek",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Modifying brush generation and rendering code at runtime in VR.",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1006,
                "image_height": 743,
                "name": "schuetz-2019-LCO-.png",
                "type": "image/png",
                "size": 460185,
                "path": "Publication:schuetz-2019-LCO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-:thumb{{size}}.png"
            },
            {
                "description": "Two page poster abstract",
                "filetitle": "poster_abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-2019-LCO-poster_abstract.pdf",
                "type": "application/pdf",
                "size": 1554925,
                "path": "Publication:schuetz-2019-LCO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster_abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster_abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-2019-LCO-poster.pdf",
                "type": "application/pdf",
                "size": 13220664,
                "path": "Publication:schuetz-2019-LCO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/schuetz-2019-LCO-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-LCO/",
        "__class": "Publication"
    },
    {
        "id": "moerth-2018-tpose",
        "type_id": "masterthesis",
        "tu_id": 284109,
        "repositum_id": null,
        "title": "Interactive Reformation of Fetal Ultrasound Data to a T-Position",
        "date": "2019-03-05",
        "abstract": "Three dimensional ultrasound images are commonly used in prenatal screening. The acquisition delivers detailed information about the skin as well as the inner organs of the fetus. Prenatal screenings in terms of growth analysis are very important to support a healthy development of the fetus. The analysis of this data involves viewing of two dimensional (2D) slices in order to take measurements or calculate the volume and weight of the fetus. These steps involve manual investigation and are dependent on the skills of the person who performs them. These measurements and calculations are very important to analyze the development of the fetus and for the birth preparation.\nUltrasound imaging is a˙ected by artifacts like speckles, noise and also of structures obstructing the regions of interest. These artifacts occur because the imaging technique is using sound waves and their echo to create images. 2D slices as used as basis for the measurement of the fetus therefore might not be the best solution. Analyzing the data in a three dimensional (3D) way would enable the viewer to have a better overview and to better distinguish between artifacts and the real data of the fetus. The growth of a fetus can be analysed by comparing standardized measurements like the crown foot length, the femur length or the derived head circumference as well as the abdominal circumference.\nStandardization is well known in many fields of medicine and is used to enable compa-rability between investigations of the same patient or between patients. Therefore we introduce a standardized way of analyzing 3D ultrasound images of fetuses. Bringing the fetus in a standardized position would enable automatized measurements by the machine and there could also be new measurements applied like the volume of specific body parts. A standardized pose would also provide possibilities to compare the re-sults of di˙erent measurements of one fetus as well as the measurements of di˙erent fetuses.\nThe novel method consists of six steps, namely the loading of the data, the preprocessing, the rigging of the model, the weighting of the data, the actual transformation called the \"Vitruvian Baby\" and at the end the analysis of the result. We tried to automatize the workflow as far as possible resulting in some manual tasks and some automatic ones. The loading of the data works with standard medical image formats and the preprocessing involves some interaction in order to get rid of the ultrasound induced artifacts. Transforming data into a specific position is a complex task which might involve a manual processing steps. In the method presented in this work one step of the transformation namely the rigging of the model, where a skeleton is placed in the data, is performed manually. The weighting as well as the transformation although are performed completely automatically resulting in a T-pose representation of the data.\nWe analysed the performance of our novel approach in several ways. We first use a phantom model which has been used as a reference already presented in a T-pose. After using seven di˙erent fetus poses of the model as input the result was an average of 79,02%voxel overlapping between the output of the method and the goal T-pose. When having a look at the similarity of the finger to finger span and the head to toe measurement we considered a value of 91,08% and 94,05% in average. The time needed for the most complex manual task was in average seven minutes. After using a phantom model of a man, we also assessed the performance of the method using a computer model of a fetus and a phantom model of a 3D ultrasound investigation. The results also look very promising.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 232,
            "image_height": 335,
            "name": "moerth-2018-tpose-image.JPG",
            "type": "image/jpeg",
            "size": 31183,
            "path": "Publication:moerth-2018-tpose",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1345
        ],
        "date_end": "2019-03-05",
        "date_start": "2018",
        "matrikelnr": "01325306",
        "supervisor": [
            171
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 232,
                "image_height": 335,
                "name": "moerth-2018-tpose-image.JPG",
                "type": "image/jpeg",
                "size": 31183,
                "path": "Publication:moerth-2018-tpose",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "moerth-2018-tpose-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 18441360,
                "path": "Publication:moerth-2018-tpose",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/moerth-2018-tpose-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/moerth-2018-tpose/",
        "__class": "Publication"
    },
    {
        "id": "wu-2019-report",
        "type_id": "techreport",
        "tu_id": 283365,
        "repositum_id": null,
        "title": "From Cells to Atoms - Biological Information Visualization (in Chinese)",
        "date": "2019-03-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1263,
            171
        ],
        "number": "TR-193-02-2019-1",
        "open_access": "no",
        "research_areas": [
            "BioVis",
            "IllVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://dl.ccf.org.cn/institude/institudeDetail?id=4320599515842560&_ack=1",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2019-report-paper.pdf",
                "type": "application/pdf",
                "size": 8399742,
                "path": "Publication:wu-2019-report",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/wu-2019-report-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/wu-2019-report/",
        "__class": "Publication"
    },
    {
        "id": "VASCO-2019-EVR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extending a VR Rendering Engine (SSAO, async loading, ...)",
        "date": "2019-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "VASCO-2019-EVR-.pdf",
            "type": "application/pdf",
            "size": 482670,
            "path": "Publication:VASCO-2019-EVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/VASCO-2019-EVR/VASCO-2019-EVR-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/VASCO-2019-EVR/VASCO-2019-EVR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1646
        ],
        "date_end": "2019-02",
        "date_start": "2018-10",
        "matrikelnr": "e11833146",
        "supervisor": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "VASCO-2019-EVR-.pdf",
                "type": "application/pdf",
                "size": 482670,
                "path": "Publication:VASCO-2019-EVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/VASCO-2019-EVR/VASCO-2019-EVR-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/VASCO-2019-EVR/VASCO-2019-EVR-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/VASCO-2019-EVR/",
        "__class": "Publication"
    },
    {
        "id": "Vasylevska_Khrystyna-2019-TEFVR",
        "type_id": "inproceedings",
        "tu_id": 279159,
        "repositum_id": null,
        "title": "Towards Eye-Friendly VR: How Bright Should It Be?",
        "date": "2019-03",
        "abstract": "Visual information plays an important part in the perception of the world around us. Recently, head-mounted displays (HMD) came to the consumer market and became a part of the everyday life of thousands of people. Like with the desktop screens or hand-held devices before, the public is concerned with the possible health consequences of the prolonged usage and question the adequacy of the default settings. It has been shown that the brightness and contrast of a display should be adjusted to match the external light to decrease eye strain and other symptoms. Currently, there is a noticeable mismatch in brightness between the screen and dark background of an HMD that might cause eye strain, insomnia, and other unpleasant symptoms.\n\nIn this paper, we explore the possibility to significantly lower the screen brightness in the HMD and successfully compensate for the loss of the visual information on a dimmed screen. We designed a user study to explore the connection between the screen brightness HMD and task performance, cybersickness, users’ comfort, and preferences. We have tested three levels of brightness: the default Full Brightness, the optional Night Mode and a significantly lower brightness with original content and compensated content.   Our results suggest that although users still prefer the brighter setting, the HMDs can be successfully used with significantly lower screen brightness, especially if the low screen brightness is compensated",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1712,
            1713,
            1714,
            378
        ],
        "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
        "cfp": {
            "name": "IEEE VR 2019 Call for Conference Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "312223",
            "orig_name": "IEEE VR 2019 Call for Conference Papers.pdf",
            "ext": "pdf"
        },
        "doi": "10.1109/VR.2019.8797752",
        "event": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)",
        "issn": "2642-5246 ",
        "lecturer": [
            1712
        ],
        "location": "Osaka, Japan",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "9",
        "publisher": "IEEE",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "Virtual Reality",
            "User Study",
            "Perception",
            " Head-Mounted Display"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vasylevska_Khrystyna-2019-TEFVR-paper.pdf",
                "type": "application/pdf",
                "size": 2620917,
                "path": "Publication:Vasylevska_Khrystyna-2019-TEFVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/Vasylevska_Khrystyna-2019-TEFVR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/Vasylevska_Khrystyna-2019-TEFVR-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Vasylevska_Khrystyna-2019-TEFVR/",
        "__class": "Publication"
    },
    {
        "id": "waldin-2019-ccm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cuttlefish: Color Mapping for Dynamic Multi‐Scale Visualizations",
        "date": "2019-03",
        "abstract": "Visualizations of hierarchical data can often be explored interactively. For example, in geographic visualization, there are continents, which can be subdivided into countries, states, counties and cities. Similarly, in models of viruses or bacteria at the highest level are the compartments, and below that are macromolecules, secondary structures (such as α‐helices), amino‐acids, and on the finest level atoms. Distinguishing between items can be assisted through the use of color at all levels. However, currently, there are no hierarchical and adaptive color mapping techniques for very large multi‐scale visualizations that can be explored interactively. We present a novel, multi‐scale, color‐mapping technique for adaptively adjusting the color scheme to the current view and scale. Color is treated as a resource and is smoothly redistributed. The distribution adjusts to the scale of the currently observed detail and maximizes the color range utilization given current viewing requirements. Thus, we ensure that the user is able to distinguish items on any level, even if the color is not constant for a particular feature. The coloring technique is demonstrated for a political map and a mesoscale structural model of HIV. The technique has been tested by users with expertise in structural biology and was overall well received.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Multiple color zoom levels. ",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 509,
            "image_height": 447,
            "name": "waldin-2019-ccm-teaser.png",
            "type": "image/png",
            "size": 690229,
            "path": "Publication:waldin-2019-ccm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1339,
            1110,
            1189,
            166,
            1365,
            1260,
            1475,
            171
        ],
        "doi": "10.1111/cgf.13611",
        "journal": "Computer Graphics Forum",
        "number": "6",
        "pages_from": "150",
        "pages_to": "164",
        "volume": "38",
        "research_areas": [
            "BioVis",
            "IllVis",
            "InfoVis"
        ],
        "keywords": [
            "multiscale visualization",
            "illustrative visualization",
            "molecular visualization"
        ],
        "weblinks": [
            {
                "href": "https://onlinelibrary.wiley.com/doi/10.1111/cgf.13611",
                "caption": "Open Access Article in Wiley Online Library",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Multiple color zoom levels. ",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 509,
                "image_height": 447,
                "name": "waldin-2019-ccm-teaser.png",
                "type": "image/png",
                "size": 690229,
                "path": "Publication:waldin-2019-ccm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/waldin-2019-ccm-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/waldin-2019-ccm/",
        "__class": "Publication"
    },
    {
        "id": "ZOTTI-2016-VAA",
        "type_id": "inproceedings",
        "tu_id": 283908,
        "repositum_id": null,
        "title": "Virtual Archaeoastronomy: Stellarium for Research and Outreach",
        "date": "2019-03",
        "abstract": "In the last few years, the open-source desktop planetarium program Stellarium has become ever more popular for research and dissemination of results in Cultural Astronomy.\n\nIn this time we have added significant capabilities for applications in cultural astronomy to the program. The latest addition allows its use in a multi-screen installation running both completely automated and manually controlled setups. During the development time, also the accuracy of astronomical simulation has been greatly improved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            1093,
            193,
            480
        ],
        "booktitle": "Archaeoastronomy in the Roman World (Proceedings 16th Conference of the Italian Society for Archaeoastronomy)",
        "date_from": "2016-11-03",
        "date_to": "2016-11-04",
        "event": "SIA 2016 (16th Conference of the Italian Society for Archaeoastronomy)",
        "isbn": "978-3-319-97006-6",
        "lecturer": [
            222
        ],
        "location": "Milano, Italy",
        "pages_from": "187",
        "pages_to": "205",
        "publisher": "Springer",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "stellarium"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ZOTTI-2016-VAA/",
        "__class": "Publication"
    },
    {
        "id": "raidou2019_prsps",
        "type_id": "journalpaper",
        "tu_id": 283349,
        "repositum_id": null,
        "title": "Relaxing Dense Scatter Plots with Pixel-Based Mappings",
        "date": "2019-03",
        "abstract": "Scatter plots are the most commonly employed technique for the visualization of bivariate data. Despite their versatility and expressiveness in showing data aspects, such as clusters, correlations, and outliers, scatter plots face a main problem. For large and dense data, the representation suffers from clutter due to overplotting. This is often partially solved with the use of density plots. Yet, data overlap may occur in certain regions of a scatter or density plot, while other regions may be partially, or even completely empty. Adequate pixel-based techniques can be employed for effectively filling the plotting space, giving an additional notion of the numerosity of data motifs or clusters. We propose the Pixel-Relaxed Scatter Plots, a new and simple variant, to improve the display of dense scatter plots, using pixel-based, space-filling mappings. Our Pixel-Relaxed Scatter Plots make better use of the plotting canvas, while avoiding data overplotting, and optimizing space coverage and insight in the presence and size of data motifs. We have employed different methods to map scatter plot points to pixels and to visually present this mapping. We demonstrate our approach on several synthetic and realistic datasets, and we discuss the suitability of our technique for different tasks. Our conducted user evaluation shows that our Pixel-Relaxed Scatter Plots can be a useful enhancement to traditional scatter plots.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            166,
            1451
        ],
        "cfp": {
            "name": "PacificVis 2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "380233",
            "orig_name": "PacificVis 2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-03-18",
        "date_to": "2019-03-18",
        "doi": "10.1109/TVCG.2019.2903956",
        "event": "PacificVis 2019",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1410
        ],
        "pages_from": "1",
        "pages_to": "12",
        "volume": "25",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1548,
                "preview_image_height": 877,
                "name": "raidou2019_prsps-paper.pdf",
                "type": "application/pdf",
                "size": 5294590,
                "path": "Publication:raidou2019_prsps",
                "preview_name": "raidou2019_prsps-paper:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 274161,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/raidou2019_prsps-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/raidou2019_prsps-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/raidou2019_prsps/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-2019-CLOD",
        "type_id": "inproceedings",
        "tu_id": 283354,
        "repositum_id": null,
        "title": "Real-Time Continuous Level of Detail Rendering of Point Clouds",
        "date": "2019-03",
        "abstract": "Real-time rendering of large point clouds requires acceleration structures that reduce the number of points drawn on screen. State-of-the art algorithms group and render points in hierarchically organized chunks with varying extent and density, which results in sudden changes of density from one level of detail to another, as well as noticeable popping artifacts when additional chunks are blended in or out. \nThese popping artifacts are especially noticeable at lower levels of detail, and consequently in virtual reality, where high performance requirements impose a reduction in detail.\n\nWe propose a continuous level-of-detail method that exhibits gradual rather than sudden changes in density. Our method continuously recreates a down-sampled vertex buffer from the full point cloud, based on camera orientation, position, and distance to the camera, in a point-wise rather than chunk-wise fashion and at speeds up to 17 million points per millisecond.\nAs a result, additional details are blended in or out in a less noticeable and significantly less irritating manner as compared to the state of the art. The improved acceptance of our method was successfully evaluated in a user study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot_1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 961,
            "image_height": 878,
            "name": "schuetz-2019-CLOD-screenshot_1.png",
            "type": "image/png",
            "size": 870310,
            "path": "Publication:schuetz-2019-CLOD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            1030,
            193
        ],
        "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces",
        "cfp": {
            "name": "cfpapers_ieeevr_2019.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "829256",
            "orig_name": "cfpapers_ieeevr_2019.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-03-23",
        "date_to": "2019-03-27",
        "doi": "10.1109/VR.2019.8798284",
        "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces",
        "lecturer": [
            1116
        ],
        "location": "Osaka, Japan",
        "pages_from": "103",
        "pages_to": "110",
        "publisher": "IEEE",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point clouds, virtual reality, VR"
        ],
        "weblinks": [
            {
                "href": "https://github.com/m-schuetz/ieeevr_2019_clod",
                "caption": "Essential source code samples",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "continuous LOD subsample selected for the users current viewpoint",
                "filetitle": "birds_eye",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1494,
                "image_height": 1221,
                "name": "schuetz-2019-CLOD-birds_eye.png",
                "type": "image/png",
                "size": 2051540,
                "path": "Publication:schuetz-2019-CLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-birds_eye:thumb{{size}}.png"
            },
            {
                "description": "More uniform distribution of points in screen space, compared to staircase artifacts from discrete LOD methods.",
                "filetitle": "distribution",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 498,
                "image_height": 228,
                "name": "schuetz-2019-CLOD-distribution.png",
                "type": "image/png",
                "size": 94654,
                "path": "Publication:schuetz-2019-CLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-distribution:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper_preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-2019-CLOD-paper_preprint.pdf",
                "type": "application/pdf",
                "size": 15684243,
                "path": "Publication:schuetz-2019-CLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-paper_preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "screenshot_1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 961,
                "image_height": 878,
                "name": "schuetz-2019-CLOD-screenshot_1.png",
                "type": "image/png",
                "size": 870310,
                "path": "Publication:schuetz-2019-CLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/schuetz-2019-CLOD-screenshot_1:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuetz-2019-CLOD/",
        "__class": "Publication"
    },
    {
        "id": "schuller_reichl-2019-avt",
        "type_id": "masterthesis",
        "tu_id": 283046,
        "repositum_id": null,
        "title": "Mapping of Realism in Rendering onto Perception of Presence in Augmented Reality",
        "date": "2019-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1725
        ],
        "date_end": "2019",
        "date_start": "2017",
        "matrikelnr": "00825849",
        "supervisor": [
            378
        ],
        "research_areas": [
            "Perception",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/schuller_reichl-2019-avt/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2019-ICthroughVR",
        "type_id": "inproceedings",
        "tu_id": 283362,
        "repositum_id": null,
        "title": "ICthroughVR: Illuminating Cataracts through Virtual Reality",
        "date": "2019-03",
        "abstract": "Vision impairments, such as cataracts, affect how many people interact with their environment, yet are rarely considered by architects and lighting designers because of a lack of design tools. To address this, we present a method to simulate vision impairments caused by cataracts in virtual reality (VR), using eye tracking for gaze-dependent effects. We conducted a user study to investigate how lighting affects visual perception for users with cataracts. Unlike past approaches, we account for the user's vision and some constraints of VR headsets, allowing for calibration of our simulation to the same level of degraded vision for all participants.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 828,
            "image_height": 828,
            "name": "kroesl-2019-ICthroughVR-image.png",
            "type": "image/png",
            "size": 700309,
            "path": "Publication:kroesl-2019-ICthroughVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1633,
            1636,
            1635,
            193,
            1634
        ],
        "booktitle": "2019 IEEE Conference on Virtual Reality and 3D User Interfaces",
        "cfp": {
            "name": "IEEE VR 2019 Call for Conference Papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "226992",
            "orig_name": "IEEE VR 2019 Call for Conference Papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-03-23",
        "date_to": "2019-03-27",
        "doi": "10.1109/VR.2019.8798239",
        "event": "IEEE VR 2019, the 26th IEEE Conference on Virtual Reality and 3D User Interfaces",
        "lecturer": [
            1030
        ],
        "location": "Osaka, Japan",
        "pages_from": "655",
        "pages_to": "663",
        "publisher": "IEEE",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "vision impairments",
            "cataracts",
            "virtual reality",
            "user study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 828,
                "image_height": 828,
                "name": "kroesl-2019-ICthroughVR-image.png",
                "type": "image/png",
                "size": 700309,
                "path": "Publication:kroesl-2019-ICthroughVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper_preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-ICthroughVR-paper_preprint.pdf",
                "type": "application/pdf",
                "size": 21654478,
                "path": "Publication:kroesl-2019-ICthroughVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-paper_preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2019-ICthroughVR-video.mp4",
                "type": "video/mp4",
                "size": 59381889,
                "path": "Publication:kroesl-2019-ICthroughVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/kroesl-2019-ICthroughVR-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kroesl-2019-ICthroughVR/",
        "__class": "Publication"
    },
    {
        "id": "Kugler_2019",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Profiling and Optimization of Large Biomolecular Scenes",
        "date": "2019-03",
        "abstract": "Scientific visualizations and entertainment purposes demand ways to quickly render larger and larger virtual scenes. Through their highly parallel architecture, GPUs are capable of providing for that demand. But with their processing capabilities, their complexity increases too. With each new version, APIs like OpenGL provide an increasing amount of interfaces to harness the available capabilities. However, using them efficiently can be difficult for programmers and application designers. This work attempts to guide the design of such applications by describing and implementing different existing methods and variations and measuring their impact on the performance of a real-world application.\nWhile some techniques are applicable to rendering of static geometry in general, the focus lies on rendering biomolecular data as spheres using billboards.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 985,
            "image_height": 319,
            "name": "Kugler_2019-image.JPG",
            "type": "image/jpeg",
            "size": 46214,
            "path": "Publication:Kugler_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1632
        ],
        "date_end": "2019-03",
        "date_start": "2018",
        "matrikelnr": "01526144",
        "supervisor": [
            1285,
            171
        ],
        "research_areas": [
            "BioVis",
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 985,
                "image_height": 319,
                "name": "Kugler_2019-image.JPG",
                "type": "image/jpeg",
                "size": 46214,
                "path": "Publication:Kugler_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kugler_2019-thesis.pdf",
                "type": "application/pdf",
                "size": 986070,
                "path": "Publication:Kugler_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/Kugler_2019-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Kugler_2019/",
        "__class": "Publication"
    },
    {
        "id": "BOKSANSKY-2019-RTS",
        "type_id": "inbook",
        "tu_id": 283359,
        "repositum_id": null,
        "title": "Ray Traced Shadows: Maintaining Real-Time Frame Rates",
        "date": "2019-03",
        "abstract": "Efficient and accurate shadow computation is a long-standing problem in computer graphics. In real-time applications, shadows have traditionally been computed using the rasterization-based pipeline. With recent advances of graphics hardware, it is now possible to use ray tracing in real-time applications, making ray traced shadows a viable alternative to rasterization. While ray traced shadows avoid many problems inherent in rasterized shadows, tracing every shadow ray independently can become a bottleneck if the number of required rays rises, e.g., for high-resolution rendering, for scenes with multiple lights, or for area lights. Therefore, the computation should focus on image regions where shadows actually appear, in particular on the shadow boundaries.\n\nWe present a practical method for ray traced shadows in real-time applications. Our method uses the standard rasterization pipeline for resolving primary-ray visibility and ray tracing for resolving visibility of light sources. We propose an adaptive sampling algorithm for shadow rays combined with an adaptive shadowfiltering method. These two techniques allow computing high-quality shadows with a limited number of shadow rays per pixel. We evaluated our method using a recent real-time ray tracing API (DirectX Raytracing) and compare the results with shadow mapping using cascaded shadow maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1703,
            193,
            198
        ],
        "address": "New York",
        "booktitle": "Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs",
        "doi": "10.1007/978-1-4842-4427-2_13",
        "editor": "Erik Haines and Tomas Akenine-Möller",
        "isbn": "978-1-4842-4426-5",
        "open_access": "yes",
        "pages_from": "159",
        "pages_to": "182",
        "publisher": "Springer",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/BOKSANSKY-2019-RTS/",
        "__class": "Publication"
    },
    {
        "id": "brument_2019_br19",
        "type_id": "inproceedings",
        "tu_id": 279441,
        "repositum_id": null,
        "title": "Virtual vs. Physical Navigation in VR: Study of Gaze and Body Segments Temporal Reorientation Behaviour",
        "date": "2019-03",
        "abstract": "This paper investigates whether the body anticipation synergies in real environments (REs) are preserved during navigation in virtual environments (VEs). Experimental studies related to the control of human locomotion in REs during curved trajectories report a top-down reorientation strategy with the reorientation of the gaze anticipating the reorientation of head, the shoulders and finally the global body motion. This anticipation behavior provides a stable reference frame to the walker to control and reorient his/her body according to the future walking direction. To assess body anticipation during navigation in VEs, we conducted an experiment where participants, wearing a head-mounted display, performed a lemniscate trajectory in a virtual environment (VE) using five different navigation techniques, including walking, virtual steering (head, hand or torso steering) and passive navigation. For the purpose of this experiment, we designed a new control law based on the power-law relation between speed and curvature during human walking. Taken together our results showed a similar ordered top-down sequence of reorientation of the gaze, head and shoulders during curved trajectories between walking in REs and in VEs (for all the evaluated techniques). However, the anticipation mechanism was significantly higher for the walking condition compared to the others. The results presented in this paper pave the way to the better understanding of the underlying mechanisms of human navigation in VEs and to the design of navigation techniques more adapted to humans.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1715,
            1945,
            378,
            1740,
            1741
        ],
        "booktitle": "Proceedings of IEEE VR 2019 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces",
        "cfp": {
            "name": "call_ieeevr.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "183340",
            "orig_name": "call_ieeevr.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-03",
        "date_to": "2019-03",
        "event": "Ieee Vr 2019",
        "lecturer": [
            1715
        ],
        "location": "Osaka, Japan",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "virtual reality"
        ],
        "weblinks": [
            {
                "href": "https://publik.tuwien.ac.at/files/publik_279441.pdf",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/brument_2019_br19/",
        "__class": "Publication"
    },
    {
        "id": "unger-2019_vcp",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Comparison of Organism-Specific Metabolic Pathways",
        "date": "2019-02",
        "abstract": "The Kyoto Encyclopaedia of Genes and Genomes\n(KEGG) resource is a combination of multiple databases,\ncontaining information about biochemical compounds, reactions,\npathways, genes and much more. This database\nis one of the main resources for bioinformaticians and biologists\nto gain an understanding of molecular functionality\ninside organisms. The Orthology (KO) database from\nKEGG assigns pathways and genes with identical functionality\nto the same ortholog groups (KO entries). Therefore\nit is possible to map genes onto the pathway maps\nand obtain organism-specific visualizations. KEGG offers\na web-based graph visualization to explore these pathways,\nhowever, the interaction possibilities are restricted\nand the rendering is inefficient. It is possible to visualize\norganism-specific pathways but a visual analysis tool to\ncompare ortholog groups of multiple organisms is missing.\nIn this work, we present an efficient interactive web application\nto compare ortholog groups of multiple organisms\nin the metabolic reference pathway. We introduce a graph\noverlay technique to mark the differences and similarities\nbetween multiple organisms and demonstrate it with two\nuse cases. Additionally, we compare it against an existing\npoint set membership visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1117,
            "image_height": 742,
            "name": "unger-2019_vcp-screenshot.png",
            "type": "image/png",
            "size": 563486,
            "path": "Publication:unger-2019_vcp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1530
        ],
        "date_end": "2019-02",
        "date_start": "2018-10",
        "matrikelnr": "01325652",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [
            "pathways",
            "web-based visualization"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/kunger/pr-pathway-exploration/",
                "caption": "Online tool",
                "description": "Best to be used with Chrome. Enter the organisms to be compared by entering them as a string like this: \"eco+hsa+mmu\" (compares E-Coli, Homo Sapiens, and Mus Musculus). ",
                "main_file": 0
            },
            {
                "href": "https://www.genome.jp/kegg/catalog/org_list.html",
                "caption": "List of KEGG organisms",
                "description": "List of organisms available in KEGG. ",
                "main_file": 0
            },
            {
                "href": "https://cescg.org/cescg_submission/visual-comparison-of-organism-specific-metabolic-pathways/",
                "caption": "CESCG paper",
                "description": "Paper presented at the Central European Seminar on Computer Graphics 2019. ",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "CESCG paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unger-2019_vcp-CESCG paper.pdf",
                "type": "application/pdf",
                "size": 4980072,
                "path": "Publication:unger-2019_vcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-CESCG paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "developer documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unger-2019_vcp-developer documentation.pdf",
                "type": "application/pdf",
                "size": 524187,
                "path": "Publication:unger-2019_vcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-developer documentation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1117,
                "image_height": 742,
                "name": "unger-2019_vcp-screenshot.png",
                "type": "image/png",
                "size": 563486,
                "path": "Publication:unger-2019_vcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "user documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unger-2019_vcp-user documentation.pdf",
                "type": "application/pdf",
                "size": 58613,
                "path": "Publication:unger-2019_vcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/unger-2019_vcp-user documentation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/unger-2019_vcp/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2018-cgf",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "FitConnect: Connecting Noisy 2D Samples by Fitted Neighborhoods",
        "date": "2019-02",
        "abstract": "We propose a parameter-free method to recover manifold connectivity in unstructured 2D point clouds with high noise in terms of the local feature size. This enables us to capture the features which emerge out of the noise. To achieve this, we extend the reconstruction algorithm HNN-Crust, which connects samples to two (noise-free) neighbors and has been proven to output a manifold for a relaxed sampling condition. Applying this condition to noisy samples by projecting their k-nearest neighborhoods onto local circular fits leads to multiple candidate neighbor pairs and thus makes connecting them consistently an NP-hard problem. To solve this efficiently, we design an algorithm that searches that solution space iteratively on different scales of k. It achieves linear time complexity in terms of point count plus quadratic time in the size of noise clusters. Our algorithm FitConnect extends HNN-Crust seamlessly to connect both samples with and without noise, performs as local as the recovered features and can output multiple open or closed piece-wise curves. Incidentally, our method simplifies the output geometry by eliminating all but a representative point from noisy clusters. Since local neighborhood fits overlap consistently, the resulting connectivity represents an ordering of the samples along a manifold. This permits us to simply blend the local fits for denoising with the locally estimated noise extent. Aside from applications like reconstructing silhouettes of noisy sensed data, this lays important groundwork to improve surface reconstruction in 3D. Our open-source algorithm is available online.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Manifold curve fitted samples with highly varying noise",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 704,
            "image_height": 704,
            "name": "ohrhallinger_stefan-2018-cgf-image.png",
            "type": "image/png",
            "size": 12741,
            "path": "Publication:ohrhallinger_stefan-2018-cgf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            193
        ],
        "cfp": {
            "name": "SGP_2018_Poster_v5_small.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "748681",
            "orig_name": "SGP_2018_Poster_v5_small.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-07-07",
        "date_to": "2018-07-11",
        "doi": "10.1111/cgf.13395",
        "event": "Eurographics Symposium on Geometry Processing",
        "first_published": "2018-05-11",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            948
        ],
        "location": "Paris, France",
        "number": "1",
        "pages_from": "126",
        "pages_to": "137",
        "volume": "38",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve fitting, noisy samples, guarantees, curve reconstruction"
        ],
        "weblinks": [
            {
                "href": "https://github.com/stefango74/fitconnect",
                "caption": "Replicability Source Code",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Manifold curve fitted samples with highly varying noise",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 704,
                "image_height": 704,
                "name": "ohrhallinger_stefan-2018-cgf-image.png",
                "type": "image/png",
                "size": 12741,
                "path": "Publication:ohrhallinger_stefan-2018-cgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2018-cgf-paper.pdf",
                "type": "application/pdf",
                "size": 842370,
                "path": "Publication:ohrhallinger_stefan-2018-cgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/ohrhallinger_stefan-2018-cgf-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2018-cgf/",
        "__class": "Publication"
    },
    {
        "id": "PROST-2019-RTPAL",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Photometric Area Light Approximation for Interactive Lighting Design",
        "date": "2019-02",
        "abstract": "Photometric light sources are modeled after real-world luminaires and are used in\nlighting design to accurately simulate lighting. While an accurate evaluation of their\nillumination is possible with offline global-illumination algorithms, currently used realtime\napproximations, which are required for an interactive lighting design work flow, are\nprone to errors when the light source is close to illuminated objects. This is due to the\nnon-zero dimensionality of photometric lights, which are often area or volume lights.\nIn this thesis, we present a new technique to approximate photometric area lights in\nreal time. This new technique is based on combining two sampling strategies that are\ncurrently used in game engines to approximate the illumination from diffuse area lights.\nOur technique samples the photometric area light with this combined sampling strategy\nand then computes the illumination with a cubature technique based the Delaunay\ntriangulation. To do this in real time, we implemented our method on the GPU and\ndeveloped a compact triangle data structure that enables an efficient generation of a\nDelaunay triangulation.\nThe result of this thesis is a new technique for photometric area lights that creates visually\nplausible approximations in real time, even if the light source is close to illuminated\nobjects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1917,
            "image_height": 1078,
            "name": "PROST-2019-RTPAL-image.jpg",
            "type": "image/jpeg",
            "size": 52742,
            "path": "Publication:PROST-2019-RTPAL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1377
        ],
        "date_end": "2019-03-07",
        "date_start": "2017-04",
        "matrikelnr": "01225511",
        "supervisor": [
            193,
            659
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1917,
                "image_height": 1078,
                "name": "PROST-2019-RTPAL-image.jpg",
                "type": "image/jpeg",
                "size": 52742,
                "path": "Publication:PROST-2019-RTPAL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PROST-2019-RTPAL-poster.pdf",
                "type": "application/pdf",
                "size": 894265,
                "path": "Publication:PROST-2019-RTPAL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PROST-2019-RTPAL-thesis.pdf",
                "type": "application/pdf",
                "size": 15010871,
                "path": "Publication:PROST-2019-RTPAL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/PROST-2019-RTPAL-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/PROST-2019-RTPAL/",
        "__class": "Publication"
    },
    {
        "id": "STEINLECHNER-2019-ICT",
        "type_id": "inproceedings",
        "tu_id": 283451,
        "repositum_id": null,
        "title": "A Novel Approach for Immediate, Interactive CT Data Visualization andEvaluation using GPU-based Segmentation and Visual Analysis",
        "date": "2019-02",
        "abstract": "CT data of industrially produced cast metal parts are often afflicted\nwith artefacts due to complex geometries ill-suited for the scanning\nprocess. Simple global threshold-based porosity detection algorithms\nusually fail to deliver meaningful results. Other adaptive methods can\nhandle image artefacts, but require long preprocessing times. This makes\nan efficient analysis workflow infeasible. We propose an alternative\napproach for analyzing and visualizing volume defects in a fully\ninteractive manner, where analyzing volumes becomes more of an\ninteractive exploration instead of time-consuming parameter guessing\ninterrupted by long processing times. Our system is based on a highly\nefficient GPU implementation of a segmentation algorithm for porosity\ndetection. The runtime is on the order of seconds for a full volume and\nparametrization is kept simple due to a single threshold parameter. A\nfully interactive user interface comprised of multiple linked views\nallows to quickly identify defects of interest, while filtering out\nartefacts even in noisy areas.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1680,
            "image_height": 1011,
            "name": "STEINLECHNER-2019-ICT-teaser.png",
            "type": "image/png",
            "size": 791896,
            "path": "Publication:STEINLECHNER-2019-ICT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1387,
            1640,
            1641,
            1642,
            228,
            678,
            166
        ],
        "booktitle": "International Conference on Industrial Computed Tomography (ICT) 2019",
        "cfp": {
            "name": "ICT 2019 call for papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "219852",
            "orig_name": "ICT 2019 call for papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2019-02-13",
        "date_to": "2019-02-15",
        "editor": "Simone Carmignato",
        "event": "International Conference on Industrial Computed Tomography (ICT) 2019",
        "lecturer": [
            1387
        ],
        "location": "Padova, Italy",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [
            "InfoVis",
            "Rendering"
        ],
        "keywords": [
            "CT",
            "GPU",
            "Inclusion Detection",
            "Interactive Visualisation",
            "VisualAnalysis",
            "Parallel Coordinates",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STEINLECHNER-2019-ICT-draft.pdf",
                "type": "application/pdf",
                "size": 9584761,
                "path": "Publication:STEINLECHNER-2019-ICT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1680,
                "image_height": 1011,
                "name": "STEINLECHNER-2019-ICT-teaser.png",
                "type": "image/png",
                "size": 791896,
                "path": "Publication:STEINLECHNER-2019-ICT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/STEINLECHNER-2019-ICT-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/",
        "__class": "Publication"
    },
    {
        "id": "gutekunst_2019",
        "type_id": "masterthesis",
        "tu_id": 283618,
        "repositum_id": null,
        "title": "Guided Data Cleansing of Large Connectivity Matrices",
        "date": "2019-01-29",
        "abstract": "Understanding the organization principle of the brain and its function is a continuing\nquest in neuroscience and psychiatry. Thus, understanding how the brain works, how\nit is functionally, structurally correlated as well as how the genes are expressed within the brain is one of the most important aims in neuroscience. The Biomedical Image Analysis Group at VRVis developed with the Wulf Haubensak Group at the Institute of Molecular Medicine an interactive framework that allows the real time exploration of large brain connectivity networks on multiple scales. The networks, represented as connectivity matrices, can be up to hundreds of  gigabytes, and are too large to hold in\ncurrent machines’ memory. Moreover, these connectivity matrices are redundant and\nnoisy. A cleansing step to threshold noisy connections and group together similar rows\nand columns can decrease the required size and thus ease the computations in order to\nmine the matrices. However, the choice of a good threshold and similarity value is not a trivial task. This document presents a visual guided cleansing tool. The sampling is based on random sampling within the anatomical brain hierarchies on a user-defined global hierarchical level and sampling size ratio. This tool will be a step in the connectivity matrices preprocessing pipeline. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 188,
            "image_height": 150,
            "name": "gutekunst_2019-image.JPG",
            "type": "image/jpeg",
            "size": 14060,
            "path": "Publication:gutekunst_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1631
        ],
        "date_end": "2019-01-29",
        "date_start": "2018-01-10",
        "matrikelnr": "01637640",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 188,
                "image_height": 150,
                "name": "gutekunst_2019-image.JPG",
                "type": "image/jpeg",
                "size": 14060,
                "path": "Publication:gutekunst_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "gutekunst_2019-Master thesis.pdf",
                "type": "application/pdf",
                "size": 12561549,
                "path": "Publication:gutekunst_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "gutekunst_2019-Poster.pdf",
                "type": "application/pdf",
                "size": 472245,
                "path": "Publication:gutekunst_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/gutekunst_2019-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/gutekunst_2019/",
        "__class": "Publication"
    },
    {
        "id": "donabauer_2019_1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "VR-Client for Scenario-based Response Training in Disaster Management",
        "date": "2019-01-23",
        "abstract": "In times of natural disasters like floods, the fast action of domain experts saves human lives and reduces high damages of the urban infrastructure. The training of different response plans of the responsible personnel should help in making the right decisions in time critical situations. As the creation of various physical training environments takes plenty of time, the use of virtual reality (VR) is a possible alternative. In recent years, different application domains with training purpose have been shifted to make use of the new developments in the field of VR. The desired benefits are a more flexible\ngeneration of different realistic training environments with low budget and material\nresources. Additionally, the VR application can serve as a public communication tool\nto raise the sense of awareness. Based on these considerations, the aim of this work\nis to create a VR training application to steer a remote flood simulation. The goal of the application is to provide a safe and realistic environment to train the responsible personnel. Through providing different scenarios, multiple flood events can be simulated and trained. The placement of barriers through interacting with the virtual environment offers possibilities to mitigate the results of the simulated floods. An Operator-Trainee setup enables the collaborative work between experts and trainees. While the expert works as an operator with a PC client, the trainee is able to perform instructions given\nby the operator within the virtual environment. VR applications demand for high and steady frame rates as well as two high resolution images for both eyes to provide an immersive VR experience. Based on these conditions, appropriate PC hardware is needed to run a VR application in general. Additionally, high computational power is needed to perform the different flood simulations in a fast way. In order to achieve the performance requirements, the VR application is implemented within a client-server\narchitecture. The server is responsible for performing the flood simulation, while the\nclient deals with the VR-related tasks. These tasks comprise the visualization of the simulation data in VR and a fast and efficient processing of the data. In combination with a high performance rendering engine and graphic commands suitable for the given data, the desired performance can be achieved. As the feeling of immersion is highly depending on the provided frame rates, the evaluation of this first prototype is based on the achieved rendering performance. This is measured and evaluated based on two\ndifferent implementation strategies. Another important measurement is the update time of the water flow. A comparison of a CPU and a GPU implementation is presented\nwithin the evaluation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 367,
            "image_height": 312,
            "name": "donabauer_2019_1-image.PNG",
            "type": "image/png",
            "size": 237628,
            "path": "Publication:donabauer_2019_1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1266
        ],
        "date_end": "2019-01-23",
        "date_start": "2017-07-06",
        "matrikelnr": "01226287",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 367,
                "image_height": 312,
                "name": "donabauer_2019_1-image.PNG",
                "type": "image/png",
                "size": 237628,
                "path": "Publication:donabauer_2019_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "donabauer_2019_1-Master thesis.pdf",
                "type": "application/pdf",
                "size": 20661653,
                "path": "Publication:donabauer_2019_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "donabauer_2019_1-Poster.pdf",
                "type": "application/pdf",
                "size": 4659101,
                "path": "Publication:donabauer_2019_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/donabauer_2019_1-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/donabauer_2019_1/",
        "__class": "Publication"
    },
    {
        "id": "Prossenitsch_2019-1",
        "type_id": "masterthesis",
        "tu_id": 283432,
        "repositum_id": null,
        "title": "Outdoor Inside-Out Linear Image Sensor Tracking",
        "date": "2019-01-23",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Prossenitsch_2019-1-.pdf",
            "type": "application/pdf",
            "size": 20665309,
            "path": "Publication:Prossenitsch_2019-1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1732
        ],
        "date_end": "2019",
        "date_start": "2017",
        "matrikelnr": "23.01.2019",
        "open_access": "yes",
        "supervisor": [
            378
        ],
        "research_areas": [
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Prossenitsch_2019-1-.pdf",
                "type": "application/pdf",
                "size": 20665309,
                "path": "Publication:Prossenitsch_2019-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/Prossenitsch_2019-1-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Prossenitsch_2019-1/",
        "__class": "Publication"
    },
    {
        "id": "laager_florian-2014-daa",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Robust Registration of Range Images",
        "date": "2019-01-08",
        "abstract": "Objects are scanned in 3D by taking overlapping depth images from different perspectives, which then must be registered together to reconstruct the mesh.\n\nMost current work detects a few corresponding points by features in order to find the transform which correctly positions the depth images to each other in 3D. Due to its nature of extracting and matching only a few data, it may not select the best global correspondence, especially if there are several close matches.\n\nIt is also difficult to detect complete failure, since the quality of the guess is not measured, so often manual intervention is necessary. Usually there are multiple depth images and several serial pair-wise registrations, so any errors in the determined transform propagate.\n\nTherefore a better approach to reconsider that problem to use all of the available data and determine only overlaps within an error threshold, e.g. based on confidence from the scanner noise model. This also has applications in shape retrieval, for high-quality partial shape matching. A simplified version of that problem would be to find an overlap of two functions in 2D with the difference in their y-value thresholded in some measure",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 729,
            "image_height": 528,
            "name": "laager_florian-2014-daa-image.jpg",
            "type": "image/jpeg",
            "size": 66878,
            "path": "Publication:laager_florian-2014-daa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1010
        ],
        "date_end": "2019-01-08",
        "date_start": "2014-06-01",
        "matrikelnr": "932 0525859",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "registration",
            "point clouds",
            "shape retrieval"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 729,
                "image_height": 528,
                "name": "laager_florian-2014-daa-image.jpg",
                "type": "image/jpeg",
                "size": 66878,
                "path": "Publication:laager_florian-2014-daa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "laager_florian-2014-daa-thesis.pdf",
                "type": "application/pdf",
                "size": 11268958,
                "path": "Publication:laager_florian-2014-daa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/laager_florian-2014-daa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/laager_florian-2014-daa/",
        "__class": "Publication"
    },
    {
        "id": "YOGHOURDJIAN2019",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploring the limits of complexity: A survey of empirical studies ongraph visualisation",
        "date": "2019-01-06",
        "abstract": "For decades, researchers in information visualisation and graph drawing\nhave focused on developing techniques for the layout and display of very\nlarge and complex networks. Experiments involving human participants\nhave also explored the readability of different styles of layout and\nrepresentations for such networks. In both bodies of literature,\nnetworks are frequently referred to as being ‘large’ or ‘complex’, yet\nthese terms are relative. From a human-centred, experiment\npoint-of-view, what constitutes ‘large’ (for example) depends on several\nfactors, such as data complexity, visual complexity, and the technology\nused. In this paper, we survey the literature on human-centred\nexperiments to understand how, in practice, different features and\ncharacteristics of node–link diagrams affect visual complexity.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "YOGHOURDJIAN2019-image.png",
            "type": "image/png",
            "size": 40040,
            "path": "Publication:YOGHOURDJIAN2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1618,
            1619,
            1620,
            1621,
            1622,
            1623,
            1464
        ],
        "doi": "https://doi.org/10.1016/j.visinf.2018.12.006",
        "issn": "2468-502X",
        "journal": "Visual Informatics",
        "number": "4",
        "open_access": "yes",
        "pages_from": "264",
        "pages_to": "282",
        "volume": "2",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Graph visualisation",
            "Network visualisation",
            "node–link diagrams",
            "Evaluations",
            "Empirical studies",
            "Cognitive scalability"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "YOGHOURDJIAN2019-image.png",
                "type": "image/png",
                "size": 40040,
                "path": "Publication:YOGHOURDJIAN2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "YOGHOURDJIAN2019-paper.pdf",
                "type": "application/pdf",
                "size": 2324636,
                "path": "Publication:YOGHOURDJIAN2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/YOGHOURDJIAN2019-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/YOGHOURDJIAN2019/",
        "__class": "Publication"
    },
    {
        "id": "Weissenboeck_2019",
        "type_id": "journalpaper_notalk",
        "tu_id": 283895,
        "repositum_id": null,
        "title": "Dynamic Volume Lines: Visual Comparison of 3D Volumes through Space-filling Curves",
        "date": "2019-01",
        "abstract": "The comparison of many members of an ensemble is difficult, tedious, and error-prone, which is aggravated by often justsubtle differences. In this paper, we introduceDynamic Volume Linesfor the interactive visual analysis and comparison of sets of 3Dvolumes. Each volume is linearized along a Hilbert space-filling curve into a 1D Hilbert line plot, which depicts the intensities over theHilbert indices. We present a nonlinear scaling of these 1D Hilbert line plots based on the intensity variations in the ensemble of 3Dvolumes, which enables a more effective use of the available screen space. The nonlinear scaling builds the basis for our interactivevisualization techniques. An interactive histogram heatmap of the intensity frequencies serves as overview visualization. When zoomingin, the frequencies are replaced by detailed 1D Hilbert line plots and optional functional boxplots. To focus on important regions of thevolume ensemble, nonlinear scaling is incorporated into the plots. An interactive scaling widget depicts the local ensemble variations.Our brushing and linking interface reveals, for example, regions with a high ensemble variation by showing the affected voxels ina 3D spatial view. We show the applicability of our concepts using two case studies on ensembles of 3D volumes resulting fromtomographic reconstruction. In the first case study, we evaluate an artificial specimen from simulated industrial 3D X-ray computedtomography (XCT). In the second case study, a real-world XCT foam specimen is investigated. Our results show thatDynamic VolumeLinescan identify regions with high local intensity variations, allowing the user to draw conclusions, for example, about the choice ofreconstruction parameters. Furthermore, it is possible to detect ring artifacts in reconstructions volumes.I",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 148,
            "image_height": 141,
            "name": "Weissenboeck_2019-image.JPG",
            "type": "image/jpeg",
            "size": 15246,
            "path": "Publication:Weissenboeck_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1169,
            1191,
            166,
            613,
            611
        ],
        "journal": "IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS",
        "number": "1",
        "open_access": "yes",
        "pages_from": "1040",
        "pages_to": "1049",
        "volume": "25",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "Ensemble data, comparative visualization, visual analysis, Hilbert curve, nonlinear scaling, X-ray computed tomography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 148,
                "image_height": 141,
                "name": "Weissenboeck_2019-image.JPG",
                "type": "image/jpeg",
                "size": 15246,
                "path": "Publication:Weissenboeck_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Weissenboeck_2019-Paper.pdf",
                "type": "application/pdf",
                "size": 2185242,
                "path": "Publication:Weissenboeck_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/Weissenboeck_2019-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Weissenboeck_2019/",
        "__class": "Publication"
    },
    {
        "id": "hromniak-2019-vcn",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Comparison of Natural Language Processing Pipelines",
        "date": "2019-01",
        "abstract": "Natural Language Processing comprises a variety of operations that can be applied on\nraw text to extract features. The sequence of operations is called NLP pipeline. However,\nthe sequence and parameters of these individual operations differ between applications.\nIn each step of the ongoing sequence, a single process is performed with a specialized task.\nSuch a task can be the determination of the end of sentences or the removal of so-called\nstop words. There is no best-practice which combination is most effective and accurate\nto determine the descriptive features (key words) of a single document. The goal of this\nbachelor thesis is to compute the features of different variations of NLP pipelines and\nvisualize them as basic word clouds. It is also important to know how the resulting word\ncloud of each pipeline is affected by varying the order of certain steps, adding steps or\nremoving steps. The presented interface gives an overview of performance and similarity\nvalues of each computed pipeline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 486,
            "name": "hromniak-2019-vcn-screenshot.png",
            "type": "image/png",
            "size": 37562,
            "path": "Publication:hromniak-2019-vcn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1556
        ],
        "date_end": "2019-01",
        "date_start": "2018-04",
        "matrikelnr": "1425731",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 486,
                "name": "hromniak-2019-vcn-screenshot.png",
                "type": "image/png",
                "size": 37562,
                "path": "Publication:hromniak-2019-vcn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-screenshot:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hromniak-2019-vcn-thesis.pdf",
                "type": "application/pdf",
                "size": 1302404,
                "path": "Publication:hromniak-2019-vcn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/hromniak-2019-vcn-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/hromniak-2019-vcn/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2018-LoL",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments",
        "date": "2019-01",
        "abstract": "Labeling is intrinsically important for exploring and understanding complex environments and models in a variety of domains. We present a method for interactive labeling of crowded 3D scenes containing very many instances of objects spanning multiple scales in size. In contrast to previous labeling methods, we target cases where many instances of dozens of types are present and where the hierarchical structure of the objects in the scene presents an opportunity to choose the most suitable level for each placed label. Our solution builds on and goes beyond labeling techniques in medical 3D visualization, cartography, and biological illustrations from books and prints. In contrast to these techniques, the main characteristics of our new technique are: 1) a novel way of labeling objects as part of a bigger structure when appropriate, 2) visual clutter reduction by labeling only representative instances for each type of an object, and a strategy of selecting those. The appropriate level of label is chosen by analyzing the scene's depth buffer and the scene objects' hierarchy tree. We address the topic of communicating the parent-children relationship between labels by employing visual hierarchy concepts adapted from graphic design. Selecting representative instances considers several criteria tailored to the character of the data and is combined with a greedy optimization approach. We demonstrate the usage of our method with models from mesoscale biology where these two characteristics-multi-scale and multi-instance-are abundant, along with the fact that these scenes are extraordinarily dense.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "preview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 580,
            "image_height": 416,
            "name": "kouril-2018-LoL-preview.png",
            "type": "image/png",
            "size": 528337,
            "path": "Publication:kouril-2018-LoL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383,
            1246,
            1248,
            1464,
            1379,
            1365,
            1475,
            166,
            171
        ],
        "cfp": {
            "name": "IEEE VIS 2018.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "91184",
            "orig_name": "IEEE VIS 2018.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-11",
        "date_to": "2018-03",
        "doi": "10.1109/TVCG.2018.2864491",
        "event": "IEEE VIS",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1383
        ],
        "location": "Berlin, Germany",
        "note": "SciVis Best Paper Honorable Mention",
        "open_access": "yes",
        "pages_from": "977",
        "pages_to": "986",
        "volume": "25",
        "research_areas": [],
        "keywords": [
            "labeling",
            "multi-scale data",
            "multi-instance data"
        ],
        "weblinks": [
            {
                "href": "https://www.youtube.com/watch?v=zqJmJfaLiDw",
                "caption": "Process video",
                "description": "Video showing the progress of the implementation of the method described in the paper.",
                "main_file": 0
            },
            {
                "href": "https://vimeo.com/303245396",
                "caption": "Conference Talk Recording",
                "description": "Recording of the talk delivered at IEEE VIS 2018 in Berlin",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": "Conference presentation of the paper",
                "filetitle": "LoL-conference-presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2018-LoL-LoL-conference-presentation.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 202678696,
                "path": "Publication:kouril-2018-LoL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-LoL-conference-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2018-LoL-paper.pdf",
                "type": "application/pdf",
                "size": 18362171,
                "path": "Publication:kouril-2018-LoL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 580,
                "image_height": 416,
                "name": "kouril-2018-LoL-preview.png",
                "type": "image/png",
                "size": 528337,
                "path": "Publication:kouril-2018-LoL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-preview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1272,
                "image_height": 416,
                "name": "kouril-2018-LoL-teaser.png",
                "type": "image/png",
                "size": 1506129,
                "path": "Publication:kouril-2018-LoL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/kouril-2018-LoL-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare",
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/kouril-2018-LoL/",
        "__class": "Publication"
    },
    {
        "id": "scholz_2017_bac",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tile-Based Procedural Terrain Generation",
        "date": "2019-01",
        "abstract": "In recent years, procedural content generation became a valuable tool to create virtual\nexperiences. In a multitude of computer graphics applications, it aids designers to\ngenerate vast, detailed worlds. Previous methods for procedural content generation, for\nexample, terrain generation, only cover certain distinct domains where highly specialized\nalgorithms are used. These specialized algorithms can only be configured by programmers\nor artists with a technical background. With a new approach to procedural generation,\ncalled Model Synthesis, it is possible to generate a variety of content, like textures or\nmodels with a general purpose algorithm that can be configured by users without domainspecific\nknowledge of grammars or logical expressions. In this thesis, a proof-of-concept\nimplementation is created to show how this new algorithmic approach can be utilized\nto generate infinite terrains. A widely used Model Synthesis algorithm named Wave\nFunction Collapse is incorporated into a system providing the complete pipeline needed\nfor the use in a production environment. This pipeline starts with processing of the\ninput: three-dimensional blocks of geometry called tiles. In the terrain generation, they\nare placed in a lattice such that their geometry matches with the neighboring ones. To\ncreate this matching information, the developed system analyzes the geometry of the tiles\nto generate neighborhood constraints. The terrain generator then uses this information\nto solve small patches of terrain with instances of the Wave Function Collapse algorithm.\nMerging these patches to an arbitrary large terrain that can be extended on runtime is\nalso achieved with the developed system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "scholz_2017_bac-.png",
            "type": "image/png",
            "size": 905372,
            "path": "Publication:scholz_2017_bac",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1616
        ],
        "date_end": "2019-01",
        "date_start": "2017-12",
        "matrikelnr": "01527434",
        "note": "1",
        "supervisor": [
            1120
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "procedural modelling",
            "model synthesis",
            "terrain generation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "scholz_2017_bac-.png",
                "type": "image/png",
                "size": 905372,
                "path": "Publication:scholz_2017_bac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scholz_2017_bac-thesis.pdf",
                "type": "application/pdf",
                "size": 13279301,
                "path": "Publication:scholz_2017_bac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/scholz_2017_bac-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/scholz_2017_bac/",
        "__class": "Publication"
    },
    {
        "id": "Miao_2019",
        "type_id": "journalpaper_notalk",
        "tu_id": 272339,
        "repositum_id": null,
        "title": "Multiscale Molecular Visualization",
        "date": "2019-01",
        "abstract": "We provide a high-level survey of multiscale molecular visualization techniques, with a focus on application-domain questions, challenges, and tasks. We provide a general introduction to molecular visualization basicsand describe a number of domain-specific tasks that drive this work. These tasks, in turn, serve as the generalstructure of the following survey. First, we discuss methods that support the visual analysis of moleculardynamics simulations. We discuss, in particular, visual abstraction and temporal aggregation. In the secondpart, we survey multiscale approaches that support the design, analysis, and manipulation of DNAnanostructures and related concepts for abstraction, scale transition, scale-dependent modeling, andnavigation of the resulting abstraction spaces. In the third part of the survey, we showcase approaches thatsupport interactive exploration within large structural biology assemblies up to the size of bacterial cells.We describe fundamental rendering techniques as well as approaches for element instantiation, visibilitymanagement, visual guidance, camera control, and support of depth perception. We close the survey with abrief listing of important tools that implement many of the discussed approaches and a conclusion thatprovides some research challenges in the field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 323,
            "image_height": 240,
            "name": "Miao_2019-image.JPG",
            "type": "image/jpeg",
            "size": 32385,
            "path": "Publication:Miao_2019",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            1285,
            1383,
            935,
            1605,
            166,
            1248,
            960,
            171
        ],
        "doi": "10.1016/j.jmb.2018.09.004.",
        "first_published": "2018-09",
        "journal": "Journal of Molecular Biology",
        "number": "31",
        "open_access": "no",
        "pages_from": "1049",
        "pages_to": "1070",
        "volume": "6",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "molecular visualization",
            "molecular dynamics",
            "modelitics",
            "DNA nanotechnology",
            "visual abstraction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 323,
                "image_height": 240,
                "name": "Miao_2019-image.JPG",
                "type": "image/jpeg",
                "size": 32385,
                "path": "Publication:Miao_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Miao_2019-Paper.pdf",
                "type": "application/pdf",
                "size": 6728324,
                "path": "Publication:Miao_2019",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/Miao_2019-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/Miao_2019/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2019-xms",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2019",
        "date": "2019",
        "abstract": "See right for correct solution of our connect-the-dots game :-)\nOf course, we not only reconstruct members of our institute but also\nhighly noisy point clouds, additionally denoise the reconstruction,\nand specify the minimum number of samples required for that.\nEduard Gröller\nSee here for the mystery present in the crib: youtu.be/-oVwXaaJNtY\n\nDie Auflösung unseres Punkte-verbinden-Spiels ist hier rechts :-)\nWir rekonstruieren nicht nur Institutsmitglieder, sondern auch\nstark verrauschte Punktewolken, entfernen das Rauschen\nund berechnen die Mindestanzahl der benötigten Messpunkte.\nHier ist das Geschenk in der Krippe zu sehen: youtu.be/-oVwXaaJNtY",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1368,
            "image_height": 975,
            "name": "ohrhallinger_stefan-2019-xms-image.png",
            "type": "image/png",
            "size": 701936,
            "path": "Publication:ohrhallinger_stefan-2019-xms",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1013
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve reconstruction",
            "sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1368,
                "image_height": 975,
                "name": "ohrhallinger_stefan-2019-xms-image.png",
                "type": "image/png",
                "size": 701936,
                "path": "Publication:ohrhallinger_stefan-2019-xms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2019-xms-pdf.pdf",
                "type": "application/pdf",
                "size": 1274436,
                "path": "Publication:ohrhallinger_stefan-2019-xms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/ohrhallinger_stefan-2019-xms-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/ohrhallinger_stefan-2019-xms/",
        "__class": "Publication"
    },
    {
        "id": "podkosova-2019-MVR",
        "type_id": "phdthesis",
        "tu_id": 278458,
        "repositum_id": null,
        "title": "Walkable Multi-User VR: Effects of Physical and Virtual Colocation",
        "date": "2019",
        "abstract": "The research presented in this dissertation focuses on multi-user VR, where multiple\n immersed users navigate the virtual world by physically walking in a large tracking area.\n In such a setup, different combinations of user colocation within the physical and the\n virtual space are possible. We consider a setup to be multi-user if at least one of these\n two spaces is shared. The dissertation starts with the classification of combinations of\n physical and virtual colocation. Four such combinations are defined: colocated shared VR,\n colocated non-shared VR, distributed shared VR and shared VR with mixed colocation.\n The characteristics of each of these four setups are discussed and the resulting problems\n and research questions outlined.\n The dissertation continues with the description of ImmersiveDeck - a large-scale multi-user\n VR platform that enables navigation by walking and natural interaction. Then, four\n experiments on multi-user walkable VR developed with the use of ImmersiveDeck are\n described.\n The first two experiments are set in colocated non-shared VR where walking users share\n a tracking space while being immersed into separate virtual worlds. We investigate users´\n mutual awareness in this setup and explore methods of preventing mutual collisions\n between walking users. The following two experiments study shared VR scenarios in\n situations of varied physical colocation. We investigate the effects that different modes\n of physical colocation have on locomotion, collision avoidance and proxemics patterns\n exhibited by walking users. The sense of copresence and social presence within the virtual\n world reported by users is investigated as well.\n The experiments in the colocated non-shared VR setup show that HMD-based VR can\n produce immersion so strong that users do not notice others being present in their\n immediate proximity, thus making collision prevention the task of utmost importance. In\n our proposed method of displaying notification avatars to prevent potential imminent\n collisions between colocated users, the suitability of a particular type of notification avatar\n was found to be dependent on the type of scenario experienced by users. The general\n result of the experiments in shared VR is that physical colocation affects locomotor and\n proxemics behavior of users as well as their subjective experience in terms of copresence.\n In particular, users are more cautious about possible collisions and more careful in their\n collision avoidance behavior in the colocated setup compared to the real environment. In\n the distributed setup, conventional collision avoidance is often abandoned.\n vi",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1945
        ],
        "duration": "7",
        "open_access": "no",
        "rigorosum": "2019-02-08",
        "supervisor": [
            378
        ],
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "multi-user VR"
        ],
        "weblinks": [
            {
                "href": "https://publik.tuwien.ac.at/files/publik_278458.pdf",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/podkosova-2019-MVR/",
        "__class": "Publication"
    },
    {
        "id": "huerbe-2019-BA",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "A VR Vision Impairment Simulator in Unreal Engine 4, Using Eye Tracking",
        "date": "2019",
        "abstract": "This thesis presents an Unreal Engine 4 framework to simulate vision impairments in virtual reality (VR). \nModules for eyesight tests demonstrate how medical tests can be integrated into the project.\nThe framework provides possibilities to implement different types of eye diseases and symptoms of vision impairment as new modules. A user study protocol for vision impairment simulations was created and can be extended or adapted for further experiments with different impairment simulations.\nThe developed framework incorporates an integration of the pupil labs eye tracker and routines to calibrate it for each user in VR. The simple proof-of-concept implementation has been improved and adapted for the simulation of gaze dependent effects for vision impairment simulations. The latency and accuracy of the eye tracker have been evaluated and verification methods have been added to the user study protocol to ensure maintaining the highest possible accuracy during the experiments.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1636
        ],
        "date_start": "2018-10",
        "matrikelnr": "00728266",
        "supervisor": [
            1030
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/huerbe-2019-BA/",
        "__class": "Publication"
    },
    {
        "id": "klein_2019_MSA_Poster",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Multi-Scale Animation Framework for Biological Fibrous Structures",
        "date": "2019",
        "abstract": "Fibrous structures are ubiquitous in cell biology and play essential structural and functional roles in the life cycle of a cell. They are long polymers, such as DNA carrying genetic information, or filaments forming the cytoskeleton, crucial for cell division and maintaining the cell shape. In order to disseminate new findings of such structures to peers or a general audience, animated 3D models of these structures have to be created, as they are too small to be imaged with microscopes. However, this is a tedious task carried out by scientific animators, who manually create expressive visual representations of biological phenomena. In this work, we present a novel concept which simplifies the process of animating multi-scale procedural models of biological fibrous structures. In contrast with existing work in the domain of molecular visualization, our approach can also capture dynamics, which are important to show when communicating biological processes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 900,
            "image_height": 1269,
            "name": "klein_2019_MSA_Poster-image.jpg",
            "type": "image/jpeg",
            "size": 642687,
            "path": "Publication:klein_2019_MSA_Poster",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285,
            171,
            935
        ],
        "doi": "https://doi.org/10.2312/eurp.20191149",
        "event": "EuroVis 2019",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2019_MSA_Poster-.pdf",
                "type": "application/pdf",
                "size": 87502421,
                "path": "Publication:klein_2019_MSA_Poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 900,
                "image_height": 1269,
                "name": "klein_2019_MSA_Poster-image.jpg",
                "type": "image/jpeg",
                "size": 642687,
                "path": "Publication:klein_2019_MSA_Poster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/klein_2019_MSA_Poster-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/klein_2019_MSA_Poster/",
        "__class": "Publication"
    },
    {
        "id": "manylands_award",
        "type_id": "unknown",
        "tu_id": null,
        "repositum_id": null,
        "title": "EG VCBM 2019 Image Contest Award, people's choice—ManyLands: A Journey Across 4D Phase Space of Biological Systems",
        "date": "2019",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image 2",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 11693,
            "image_height": 8163,
            "name": "manylands_award-Image 2.png",
            "type": "image/png",
            "size": 5379688,
            "path": "Publication:manylands_award",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            1692,
            418,
            817,
            869,
            166,
            1410
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4939,
                "image_height": 2158,
                "name": "manylands_award-Image 1.png",
                "type": "image/png",
                "size": 1836064,
                "path": "Publication:manylands_award",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 11693,
                "image_height": 8163,
                "name": "manylands_award-Image 2.png",
                "type": "image/png",
                "size": 5379688,
                "path": "Publication:manylands_award",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/manylands_award-Image 2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/manylands_award/",
        "__class": "Publication"
    },
    {
        "id": "WESSNER-2019-PCW",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Point Clouds in Web Browsers - Generate LOD on the fly",
        "date": "2019",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1652
        ],
        "date_end": "2019",
        "date_start": "2019",
        "matrikelnr": "0306353",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/WESSNER-2019-PCW/",
        "__class": "Publication"
    },
    {
        "id": "RUMPLTER_2019-LVR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Latency Compensation in VR",
        "date": "2019",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1660
        ],
        "date_end": "2019",
        "date_start": "2019",
        "matrikelnr": "01526299",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/RUMPLTER_2019-LVR/",
        "__class": "Publication"
    },
    {
        "id": "celarek-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": "2019",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013
        ],
        "date_end": "2022-04",
        "date_start": "2019-04",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2019/celarek-thesis/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-prague",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Annotation of Schematic Railway Maps",
        "date": "2018-12-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464
        ],
        "event": "Czech Technical University",
        "location": "Czech Technical University",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-prague/",
        "__class": "Publication"
    },
    {
        "id": "wang-sifuentes-2018-cgbase",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adding Basic Vulkan Support and other Features to a Generic Real-Time Rendering Framework",
        "date": "2018-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1570,
            1482
        ],
        "date_end": "2019-07",
        "date_start": "2018-12",
        "matrikelnr": "01226083, 00607000",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "cg_base",
            "Rendering Framework",
            "OpenGL",
            "Vulkan"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wang-sifuentes-2018-cgbase/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-shonan",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lost in Translation: Alignment of Mental Representations for Visual Analytics, Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting Seminar 127)",
        "date": "2018-12",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1619,
            1680,
            1681,
            1682,
            1683,
            1684,
            1464
        ],
        "number": "TR-193-02-2018-1",
        "open_access": "yes",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2018-shonan-paper.pdf",
                "type": "application/pdf",
                "size": 1672636,
                "path": "Publication:wu-2018-shonan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/wu-2018-shonan-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-shonan/",
        "__class": "Publication"
    },
    {
        "id": "dvdkouril_xmas_card_2018",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2018",
        "date": "2018-12",
        "abstract": "In this Christmas card we introduce a new way of research physicalization. We turned our recent papers into gingerbread cookies!\nOur cookies feature motifs from visualization of multiscale DNA nanostructures, Euler diagrams of expanded queries, levels of expanded bladders due to Glühwein consumption, beautiful smiles thanks to augmented reality, and finally several new technologies for biology communication.\n\nAuf dieser Weihnachtskarte zeigen wir neuartige Forschung im Bereich Physikalisierung. Wir verwandelten unsere aktuellen Publikationen in Lebkuchen.\nUnsere Kekse repräsentieren die multiskalare Visualisierung von DNA Nanostrukturen, Euler Diagramme von erweiterten Such-Abfragen, Pegel von expandierten Harnblasen nach Glühwein-Konsum, durch Augmented Reality verursachtes Lächeln und letztlich mehrere neue Technologien für die Kommunikation von Biologiewissen.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "X-mas card front",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2275,
            "image_height": 1587,
            "name": "dvdkouril_xmas_card_2018-X-mas card front.png",
            "type": "image/png",
            "size": 7236788,
            "path": "Publication:dvdkouril_xmas_card_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383,
            1615
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "X-mas card front",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2275,
                "image_height": 1587,
                "name": "dvdkouril_xmas_card_2018-X-mas card front.png",
                "type": "image/png",
                "size": 7236788,
                "path": "Publication:dvdkouril_xmas_card_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card front:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "X-mas card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dvdkouril_xmas_card_2018-X-mas card.pdf",
                "type": "application/pdf",
                "size": 62700677,
                "path": "Publication:dvdkouril_xmas_card_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/dvdkouril_xmas_card_2018-X-mas card:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dvdkouril_xmas_card_2018/",
        "__class": "Publication"
    },
    {
        "id": "themmer-2018-fbx",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Definition of a Workflow to Import FBX Models in Unity3D at Run-Time While Retaining Material Properties for Various Shader Types",
        "date": "2018-11-30",
        "abstract": "This bachelor thesis can be divided into two sequential parts. The first part examines physically-based shader analyses their functionality. In this context, shader were studied in general, while discussing core elements like the rendering equation and the graphics pipeline. Physically-based shader were subsequently brought to close attention. In this step, the study deals with various real life phenomenons, that occur in reality and were successfully implemented in computer graphics. For this purpose, the BRDF (Bidirectional Reflection Distribution Function) was explained theoretically and analysed mathematically. The second part of this thesis covers the import of FBX files into the game engine Unity3D. The goal of this chapter is to modify the import process to the extend that material information won’t get lost. When importing FBX files into Unity3D, textures have to be assigned to Unity materials by default. Therefore, the Autodesk API is used to examine FBX files and gain necessary information regarding textures and materials. The thesis covers the use-case of uploading FBX files to a server, analysing these files, generating Unity files in a native format (AssetBundles) with correct material information and storing them into a database. A client, that synchronises itself with the database during run-time and loading these models into a visual scene was also implemented. In this context, the process of modeling 3D objects, including materials and textures is covered as well. The workflow was implemented as a network application in order to outsource the conversion process and therefore substantially decrease the consumption of computational power. The workflow defines necessary steps, to automate the assignment of textures to Unity materials. A solution for the use-case of including FBX files into unity applications during run-time is hereby presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "themmer-2018-fbx-image.png",
            "type": "image/png",
            "size": 736332,
            "path": "Publication:themmer-2018-fbx",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1550
        ],
        "date_end": "2018-11-30",
        "date_start": "2018-03",
        "matrikelnr": "0929245",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "3": {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "themmer-2018-fbx-image.png",
                "type": "image/png",
                "size": 736332,
                "path": "Publication:themmer-2018-fbx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-image:thumb{{size}}.png"
            },
            "4": {
                "description": "Thesis (PDF)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "themmer-2018-fbx-thesis.pdf",
                "type": "application/pdf",
                "size": 7101661,
                "path": "Publication:themmer-2018-fbx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/themmer-2018-fbx-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/themmer-2018-fbx/",
        "__class": "Publication"
    },
    {
        "id": "Tucek_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "INTRA SPACE Agent An Agent-Based Architecture for an Artistic Real-Time Installation",
        "date": "2018-11-29",
        "abstract": "This work describes the processes involved in developing and embedding an agent\nsystem into an artistic real-time installation. The agent system would be responsible for controlling virtual figures on a screen, which interact with users of the installation. It was necessary to develop agents which displayed behavior pre-defined in stories designed by the project team, as well as to ensure that such agents acted in a way that was both\nwell received by visitors, while also stimulating interaction in a way that allowed the project team to conduct research on the interactions between humans and nonhumans. The agent system was implemented using Jason, a Java-based interpreter of the agentprogramming\nlanguage AgentSpeak. Over the course of the project, various agent scenarios were developed, with differing ways of implementation. An iterative process\nwas used for development and regular meetings with project members were instated, to discuss progress and ideas, while utilizing visualizations to aid communication. Behavior of developed agents was plagued by various problems, from being too reliant on reactions towards user behavior, to not interacting enough with active users. Various approaches\nto such problems were tried out, discussed, and documented. During the final installation, agents with indeterministic and emergent behavior were employed. Furthermore, agents were focused on both pursuing their own goals as well as\nconstantly paying attention to visitor behavior. This allowed users to realize agents as a social presence and interact with them in a way that was both novel and natural. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 343,
            "image_height": 296,
            "name": "Tucek_2018-image.PNG",
            "type": "image/png",
            "size": 10823,
            "path": "Publication:Tucek_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1534
        ],
        "date_end": "2018-11-29",
        "date_start": "2016-08-15",
        "matrikelnr": "01325775 ",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Jason; Agent System; Human-Agent Interaction; Real-Time; Art "
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tucek_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 9342466,
                "path": "Publication:Tucek_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 343,
                "image_height": 296,
                "name": "Tucek_2018-image.PNG",
                "type": "image/png",
                "size": 10823,
                "path": "Publication:Tucek_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/Tucek_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tucek_2018/",
        "__class": "Publication"
    },
    {
        "id": "mindek-tedx",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "TEDxDonauinsel: Scientific visualization meets biology",
        "date": "2018-11-29",
        "abstract": "https://www.youtube.com/watch?v=bz_99kE00WM",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 720,
            "image_height": 720,
            "name": "mindek-tedx-Teaser.png",
            "type": "image/png",
            "size": 661492,
            "path": "Publication:mindek-tedx",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2018-11-29",
        "event": "TEDxDonauinsel",
        "location": "International Atomic Energy Agency (IAEA)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://tedxdonauinsel.at/sciencenotfiction/",
                "caption": "TEDxDonainsel Science, not Fiction",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=bz_99kE00WM",
                "caption": "Youtube video of the talk",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-tedx-Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 84919174,
                "path": "Publication:mindek-tedx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 720,
                "image_height": 720,
                "name": "mindek-tedx-Teaser.png",
                "type": "image/png",
                "size": 661492,
                "path": "Publication:mindek-tedx",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/mindek-tedx-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-tedx/",
        "__class": "Publication"
    },
    {
        "id": "schuh-2018-mesh-blending",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Virtual Character Modelling with Mesh Fusion",
        "date": "2018-11-12",
        "abstract": "3D models are used in many areas, from medical applications to the development of\ngames. Especially in games and animated movies a lot of 3D models are required and\ncreated and the creation process of these is very time consuming. This is one point,\nwhich makes creating games or animated movies very expensive and time-consuming in\ngeneral. To create 3D models faster, artists could be supported by algorithms, which assist them in their workflow. The idea is to reuse parts of existing models and fuse them together with the help of algorithms. Thus in sum a huge amount of time could be saved in the creation of 3D models. We present an overview of existing blending techniques and their advantages and disadvantages. We create our own algorithms, which we use to evaluate how much time artists can save. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 212,
            "image_height": 190,
            "name": "schuh-2018-mesh-blending-image.PNG",
            "type": "image/png",
            "size": 43814,
            "path": "Publication:schuh-2018-mesh-blending",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1557
        ],
        "date_end": "2018-11-12",
        "date_start": "2018-04-19",
        "matrikelnr": "e1526991",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuh-2018-mesh-blending-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 2891650,
                "path": "Publication:schuh-2018-mesh-blending",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 212,
                "image_height": 190,
                "name": "schuh-2018-mesh-blending-image.PNG",
                "type": "image/png",
                "size": 43814,
                "path": "Publication:schuh-2018-mesh-blending",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/schuh-2018-mesh-blending-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuh-2018-mesh-blending/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2018-fyi",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Molecular Visualization",
        "date": "2018-11-10",
        "abstract": "Molecular visualization allows us to display nanoworlds of bacteria and viruses, which would otherwise be impossible to show at such level of fidelity",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 559,
            "image_height": 558,
            "name": "mindek-2018-fyi-teaser.png",
            "type": "image/png",
            "size": 197987,
            "path": "Publication:mindek-2018-fyi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "event": "FYI: Informationsdesign Konferenz Wien",
        "lecturer": [
            935
        ],
        "location": "Nordbahn-Halle, Vienna",
        "open_access": "yes",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "molecular visualization",
            "biology",
            "education"
        ],
        "weblinks": [
            {
                "href": "https://www.youtube.com/watch?v=ROzwq5k5d9Q",
                "caption": "video of the talk",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://fyi-conference.com/",
                "caption": "conference website",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2018-fyi-Slides.pdf",
                "type": "application/pdf",
                "size": 12247817,
                "path": "Publication:mindek-2018-fyi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-Slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 559,
                "image_height": 558,
                "name": "mindek-2018-fyi-teaser.png",
                "type": "image/png",
                "size": 197987,
                "path": "Publication:mindek-2018-fyi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/mindek-2018-fyi-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mindek-2018-fyi/",
        "__class": "Publication"
    },
    {
        "id": "Melo_2018_11",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transfer Function Widget for Tri-Modal Volume Exploration",
        "date": "2018-11-06",
        "abstract": "Volumetric visualization is an essential tool in medical studies and materials science, as it enables the analysis and exploration of the inner structure of objects. With the introduction of new equipment and techniques, the datasets become more complex, making it an increasingly common task in material analysis to handle three modalities at once. For instance, a single industrial computed-tomography scan of an object can\noutput absorption contrast, differential phase contrast and dark-field contrast volumes (modalities). However, modern software is falling behind with these advancements, as they still do not provide dedicated tools for this use. This thesis aims to test the feasibility of a transfer function user interface for tri-modal datasets, with a focus on usability, taking\ninto consideration the needs of material analysis experts. The development process (from the initial concepts to a software prototype) is described, and the resulting tool, developed as a module for open_iA (a visual analysis and volumetric processing application), is presented. It uses the standard 1D color-opacity transfer function for each modality together with a barycentric coordinates method to blend the three modalities together.\nFor the modalities of an industrial computed-tomography dataset (absorption contrast, differential phase contrast and dark-field contrast), the tool can successfully accelerate and facilitate volume exploration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 248,
            "image_height": 247,
            "name": "Melo_2018_11-image.PNG",
            "type": "image/png",
            "size": 27476,
            "path": "Publication:Melo_2018_11",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1610
        ],
        "date_end": "2018-11-06",
        "date_start": "2018-03-01",
        "matrikelnr": "01429462",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Melo_2018_11-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 15012365,
                "path": "Publication:Melo_2018_11",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 248,
                "image_height": 247,
                "name": "Melo_2018_11-image.PNG",
                "type": "image/png",
                "size": 27476,
                "path": "Publication:Melo_2018_11",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/Melo_2018_11-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Melo_2018_11/",
        "__class": "Publication"
    },
    {
        "id": "sbardellati_ba_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Exploded Views for Presenting DNA Nano-Structures",
        "date": "2018-11-02",
        "abstract": "As the complexity of computer-aided-designed DNA nano-structures progresses day by day, the presentation of these structures is becoming complex. To tackle the main presentation problem, visual occlusion of structure components, we developed a semiautomated method to create effective interactive exploded views for DNA nano-structures, especially for educational purposes. This is done by displacing selected components of a DNA nano-structure based on the four key parameters explosion direction, distance,\norder and component selection. In this thesis we describe three different strategies of choosing the explosion direction, with two of them being defined by the object structure and one by the user. For the two structure defined approaches a method to calculate the explosion distance and three different explosion orders is described. The explosion components for these two approaches are defined by the hierarchical structure of the dataset, that describes the object. The user defined approach lets the user decide on the explosion distance and features one possible explosion order. It also lets the user select the explosion components arbitrarily. The developed application additionally features the possibility to animate an explosion and to use easing in these animations. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 227,
            "image_height": 235,
            "name": "sbardellati_ba_2018-image.PNG",
            "type": "image/png",
            "size": 82795,
            "path": "Publication:sbardellati_ba_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1555
        ],
        "date_end": "2018-11-02",
        "date_start": "2018-03-19",
        "matrikelnr": "01526262",
        "supervisor": [
            171,
            1263
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sbardellati_ba_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 12130913,
                "path": "Publication:sbardellati_ba_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 227,
                "image_height": 235,
                "name": "sbardellati_ba_2018-image.PNG",
                "type": "image/png",
                "size": 82795,
                "path": "Publication:sbardellati_ba_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/sbardellati_ba_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/sbardellati_ba_2018/",
        "__class": "Publication"
    },
    {
        "id": "gangl-2018-cgbase",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adding Features to a Generic Real-Time Rendering Framework",
        "date": "2018-11",
        "abstract": "A new graphical user interface (ImGui) will be added into the cg-base framework. The framework will gain OpenGL ES support as well and it will be partly upgraded to OpenGL 4.6. For testing purposes a complex test scene will be supplied.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1483
        ],
        "date_end": "2019-03",
        "date_start": "2018-11",
        "matrikelnr": "01025756",
        "supervisor": [
            848,
            193
        ],
        "research_areas": [],
        "keywords": [
            "cg_base",
            "Rendering Framework",
            "OpenGL"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gangl-2018-cgbase/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-dagstuhl",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometry and Data Representation",
        "date": "2018-10-31",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464
        ],
        "event": "Dagstuhl Seminar 18442",
        "location": "Dagstuhl Seminar 18442",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-dagstuhl/",
        "__class": "Publication"
    },
    {
        "id": "GRIESHOFER-2018-GOS",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Game Optimization and Steam Publishing for Swarmlake",
        "date": "2018-10-29",
        "abstract": "Video games are complex pieces of software which require a certain\namount of prototyping and iteration to create the intended experience.\nThey are also real-time applications and need to be performant\nto run at the desired speed.\nMost software architecture is about creating more flexible code and\ntherefore making fewer assumptions which allow for faster prototyping\nand iteration time. However, optimizing is all about making\nassumptions and knowing limitations to be able to improve efficiency.\nSince optimal optimization is usually more natural to guarantee after\nmaking a well-designed game than vice versa, keeping the code\nflexible until the end is a valid compromise. Knowing game optimization\npatterns beforehand can be useful to make sure only the\nleast amount of code needs to be rewritten at the end of a game’s\ndevelopment cycle.\nSuccessfully selling a product such as a video game also requires\nmarketing and distribution. One of the most influential platform to\ndistribute computer games on PC is Steam. Knowing more about\nthe target platform a game releases on can make it more likely to\nmake the optimal decisions in that process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1080,
            "name": "GRIESHOFER-2018-GOS-image1.jpg",
            "type": "image/jpeg",
            "size": 665090,
            "path": "Publication:GRIESHOFER-2018-GOS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1606
        ],
        "date_end": "2018-10-29",
        "date_start": "2017-04-12",
        "matrikelnr": "1054878",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "computer games"
        ],
        "weblinks": [
            {
                "href": "https://store.steampowered.com/app/793350/Swarmlake/",
                "caption": "Game on Steam",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "GRIESHOFER-2018-GOS-image1.jpg",
                "type": "image/jpeg",
                "size": 665090,
                "path": "Publication:GRIESHOFER-2018-GOS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-image1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRIESHOFER-2018-GOS-thesis.pdf",
                "type": "application/pdf",
                "size": 6584323,
                "path": "Publication:GRIESHOFER-2018-GOS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/GRIESHOFER-2018-GOS-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GRIESHOFER-2018-GOS/",
        "__class": "Publication"
    },
    {
        "id": "Vasileva-2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Maps for Visualizing Optimal Route Planning Strategy",
        "date": "2018-10-26",
        "abstract": "There are many situations in our everyday life like events, concerts, landmarks, attraction parks, etc. that often require from visitors to line-up in front of long queues and thus spend hours in waiting. An example of that are the Disneyland amusement parks. They are all very popular and attract a significant number of people every day. For this reason, the lining-up in front of attractions may cost much time – even up to a couple of hours. Despite that, the Disneyland parks are visited by millions of people every year [sta].\nSo to avoid so much waiting they need to make a plan in advance – when and in which\norder to visit the wanted attractions. However, to make such a plan, it could be very time consuming, difficult and even unpleasant, because many prerequisites need to be considered in advance. Having the main problems and annoyances described, the goal of this thesis is to create an assisting application. Its purpose is to give the visitors the possibility to create their own plan for their visit to Tokyo Disneyland. It contains two main assisting components. Firstly, an optimization algorithm calculating an optimized\nroute of the chosen attractions as well as a route visualization for an easy attraction finding. Both will reduce the time for lining-up and pre-planning. Such a technique will make it easier for visitors to see as many attractions as possible for a single day and thus, make the most of their visit.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 337,
            "name": "Vasileva-2018-image.PNG",
            "type": "image/png",
            "size": 95697,
            "path": "Publication:Vasileva-2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1593
        ],
        "date_end": "2018-10-26",
        "date_start": "2018-05-23",
        "matrikelnr": "01426939",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vasileva-2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 7087860,
                "path": "Publication:Vasileva-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 337,
                "name": "Vasileva-2018-image.PNG",
                "type": "image/png",
                "size": 95697,
                "path": "Publication:Vasileva-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/Vasileva-2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Vasileva-2018/",
        "__class": "Publication"
    },
    {
        "id": "Niedermayer_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Shadows for Large-Scale Geospatial Visualization",
        "date": "2018-10-23",
        "abstract": "A flood is an often unforeseen event, which can happen at any time and causes enormous\ndamage. Simulations are used to predict risks and respond to them early, like in the decision-support system Visdom. The real-time application is useful and offers many possibilities, e.g., simulations of the rising of the river over a certain time or the building of barriers. However, there is a lack of a true-to-life representation of the entire scene, which is important, as the visualization of the results must be understandable also for non-experts, such as decision-makers or the general public. More precisely, shadows are missing in the application so far, although they are particularly well suited to recognize\nrelations of objects to each other.\nThis bachelor thesis covers the implementation of shadows in Visdom to increase the realism of the scene. This is very complex for such big scenes on city or even country scale and requires many self-developed strategies, as there are no ready-made solutions.\nWe present an adaptation of the cascaded shadow maps algorithm, which provides a good way to subdivide the scene for better results in shadow quality. Further improvements are presented to increase the quality of the resulting shadows, as well as avoid occurring artifacts. The result of this work is a flexible visualization of soft shadows for a variety of different-sized scenes in real time, which increase the realism and spatial perception\nand further do not influence the  performance too much.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 458,
            "image_height": 213,
            "name": "Niedermayer_2018-image.JPG",
            "type": "image/jpeg",
            "size": 31728,
            "path": "Publication:Niedermayer_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1638
        ],
        "date_end": "2018-10-23",
        "date_start": "2018-01-20",
        "matrikelnr": "01227211",
        "supervisor": [
            190
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Niedermayer_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 19298736,
                "path": "Publication:Niedermayer_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 458,
                "image_height": 213,
                "name": "Niedermayer_2018-image.JPG",
                "type": "image/jpeg",
                "size": 31728,
                "path": "Publication:Niedermayer_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/Niedermayer_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Niedermayer_2018/",
        "__class": "Publication"
    },
    {
        "id": "Deutsch-2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating seating plan images using clustering and concave hull algorithms",
        "date": "2018-10-21",
        "abstract": "This study presents a process of generating seating plan images for the Ticket Gretchen\napp. The app offers the ability to buy tickets for theaters and similar venues by using\nan interactive seating plan. A seating plan image is a venue’s abstract visualization\ndefined by the seating layout of a performance. It should give an impression of the spatial\nstructure to see which seats are in reach of each other. The proposed automated solution\nof generating these images replaces the previously used process of creating the seating\nplan images manually. The image is made up of polygons representing seat groups that\nshow the user which seats are near each other and which are separated from each other.\nThe grouping of seats is done with the DBSCAN clustering algorithm using the seats’ 2D\nposition, sector and box information. For the computation of the polygons two concave\nhull algorithms are compared.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1000,
            "image_height": 953,
            "name": "Deutsch-2018-image.png",
            "type": "image/png",
            "size": 78508,
            "path": "Publication:Deutsch-2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1592
        ],
        "date_end": "2018-10-21",
        "date_start": "2018-05-23",
        "matrikelnr": "01327587",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "IllVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Deutsch-2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 6601116,
                "path": "Publication:Deutsch-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 953,
                "name": "Deutsch-2018-image.png",
                "type": "image/png",
                "size": 78508,
                "path": "Publication:Deutsch-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/Deutsch-2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Deutsch-2018/",
        "__class": "Publication"
    },
    {
        "id": "Fischer-2018-sssvr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Subsurface Scattering in VR",
        "date": "2018-10-18",
        "abstract": "Subsurface Scattering is a physical phenomenon that appears in many materials but is most notable for human skin. Current research makes it possible to calculate the\nlocal scattering of light inside a  translucent medium around the point of entry with a convolution of a separable filter in screen-space. This thesis tries to evaluate this technique by Jimenez et al. for stereoscopic rendering and how it can be implemented for the currently popular game engine Unity. Unity offers support for VR applications and allows the implementation of post-processing effects and other techniques that rely on shaders. The implemented Subsurface Scattering method is combined with an approach\nfor translucency and a physically based specular model. In the developed application the effects can be observed with and without VR and important parameters can be changed by the user. The performance and visual quality are reviewed with respect to the viability of the effects in Unity, stereoscopic rendering and frame rate. The latter is especially\nimportant in VR applications to deliver a comfortable interactive experience.\n\nImplementation https://drive.google.com/file/d/19cWkXh19uDCIa6Mcu3qy1UeIxYlOmjJA/view?usp=sharing ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1014,
            "name": "Fischer-2018-sssvr-image.jpg",
            "type": "image/jpeg",
            "size": 134152,
            "path": "Publication:Fischer-2018-sssvr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1548
        ],
        "date_end": "2018-10-18",
        "date_start": "2018-02",
        "matrikelnr": "01527007",
        "supervisor": [
            193,
            1128
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "subsurface scattering",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fischer-2018-sssvr-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 2486446,
                "path": "Publication:Fischer-2018-sssvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1014,
                "name": "Fischer-2018-sssvr-image.jpg",
                "type": "image/jpeg",
                "size": 134152,
                "path": "Publication:Fischer-2018-sssvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/Fischer-2018-sssvr-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Fischer-2018-sssvr/",
        "__class": "Publication"
    },
    {
        "id": "ludwig-2012-MT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radial Diagrams for the Visual Analysis of Wind Energy Production Data",
        "date": "2018-10-10",
        "abstract": "Wind energy production is a fast growing sector in the field of renewable energy production. In the process of energy production, more and more data is produced and recorded every year. This data is usually worthless without further exploration, analysis, and presentation. This thesis presents a design study of the visual analysis of wind energy production data. The goal is to provide data analysts with tools to carry out common tasks in the field of wind energy production more efficiently. As the data commonly contains directional information of winds and gusts,\nanalysis techniques need to take the circular nature of such data into account.\nThis work proposes a set of techniques for the visualization and interaction with circular data in radial diagrams. The diagrams operate in the polar coordinate system and thus are well suited to solve the problems of maintaining the natural coherence and circular closure of circular data. \nThe thesis discusses important design decisions and gives practical guidance how to implement novel features into an existing software system. Implementation details on how to ensure large data scalability are presented. The work evaluates the results in a case study with real data carried out by an expert in the field of wind energy production. The results indicate an improved work flow of common tasks and a successful system integration. The reported deployment at a\nnational power grid operator further demonstrates the system’s user acceptance and importance. The thesis also reflects on the iterative design process and the within collected expert feedback.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 279,
            "image_height": 260,
            "name": "ludwig-2012-MT-image.PNG",
            "type": "image/png",
            "size": 45174,
            "path": "Publication:ludwig-2012-MT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1138
        ],
        "date_end": "2018-10-10",
        "date_start": "2012",
        "matrikelnr": "0526080",
        "supervisor": [
            451,
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 279,
                "image_height": 260,
                "name": "ludwig-2012-MT-image.PNG",
                "type": "image/png",
                "size": 45174,
                "path": "Publication:ludwig-2012-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "ludwig-2012-MT-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 16882134,
                "path": "Publication:ludwig-2012-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ludwig-2012-MT-Poster.pdf",
                "type": "application/pdf",
                "size": 711448,
                "path": "Publication:ludwig-2012-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/ludwig-2012-MT-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ludwig-2012-MT/",
        "__class": "Publication"
    },
    {
        "id": "trautner-2018-imd",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/7274",
        "title": "Importance-Driven Exploration of Molecular Dynamics Simulations",
        "date": "2018-10-03",
        "abstract": "The aim of this thesis is a novel real-time visualization approach for exploring molecular dynamics (MD-)simulations. Through the constantly improving hardware and everincreasing computing power, MD-simulations are more easily available. Additionally, they consist of hundreds, thousands or even millions of individual simulation frames and are getting more and more detailed. The calculation of such simulations is no longer limited by algorithms or hardware, nevertheless it is still not possible to efficiently explore this huge amount of simulation data, as animated 3D visualization, with ordinary and well established visualization tools. Using current software tools, the exploration of such long simulations takes too much time and due to the complexity of large molecular scenes, the visualizations highly suffer from visual clutter. It is therefore very likely that the user will miss important events.\nTherefore, we designed a focus & context approach for MD-simulations that guides the\nuser to the most relevant temporal and spatial events, and it is no longer necessary to explore the simulation in a linear fashion. Our contribution can be divided into the following four topics:\n1. Spatial importance through different levels of detail. Depending on the type of\nresearch task, different geometrical representations can be selected for both, focusand context elements.\n2. Importance driven visibility management through ghosting, to prevent context\nelements from occluding focus elements.\n3. Temporal importance through adaptive fast-forward. The playback speed of the\nsimulation is thereby dependent on a single or a combination of multiple importance\nfunctions.\n4. Visual declutter of accumulated frames through motion blur, which additionally\nillustrates the playback speed-up.\nSince the very beginning, this work was developed in close cooperation with biochemists from the Loschmidt Laboratories in Brno, Czech Republic. Together, we analyzed different use cases demonstrating the flexibility of our novel focus & context approach. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 567,
            "image_height": 480,
            "name": "trautner-2018-imd-image.png",
            "type": "image/png",
            "size": 278645,
            "path": "Publication:trautner-2018-imd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1196
        ],
        "date_end": "2018-11-03",
        "date_start": "2018-01",
        "doi": "10.34726/hss.2018.53541",
        "matrikelnr": "01125421",
        "open_access": "yes",
        "pages": "100",
        "supervisor": [
            1110,
            166
        ],
        "research_areas": [
            "BioVis",
            "Perception"
        ],
        "keywords": [
            "molecular dynamics simulation",
            "realtime visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 567,
                "image_height": 480,
                "name": "trautner-2018-imd-image.png",
                "type": "image/png",
                "size": 278645,
                "path": "Publication:trautner-2018-imd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "trautner-2018-imd-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 18870686,
                "path": "Publication:trautner-2018-imd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "trautner-2018-imd-Poster.pdf",
                "type": "application/pdf",
                "size": 4239145,
                "path": "Publication:trautner-2018-imd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/trautner-2018-imd-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/trautner-2018-imd/",
        "__class": "Publication"
    },
    {
        "id": "Konev-FCV2018",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast cutaway visualization of sub-terrain tubular networks",
        "date": "2018-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1333,
            "image_height": 753,
            "name": "Konev-FCV2018-image.jpg",
            "type": "image/jpeg",
            "size": 114614,
            "path": "Publication:Konev-FCV2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1205,
            1380,
            171,
            1337,
            877,
            798
        ],
        "doi": "https://doi.org/10.1016/j.cag.2018.07.004",
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "5",
        "open_access": "no",
        "pages": "25–35",
        "pages_from": "25",
        "pages_to": "35",
        "volume": "75",
        "research_areas": [
            "IllVis",
            "Rendering"
        ],
        "keywords": [
            "Cutaway visualization",
            "Procedural billboarding",
            "Subsurface networks"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1333,
                "image_height": 753,
                "name": "Konev-FCV2018-image.jpg",
                "type": "image/jpeg",
                "size": 114614,
                "path": "Publication:Konev-FCV2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/Konev-FCV2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Konev-FCV2018/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2018-DC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "[DC] Computational Design of Smart Lighting Systems for Visually Impaired People, using VR and AR Simulations",
        "date": "2018-10",
        "abstract": "This Doctoral Consortium paper presents my dissertation research in a multidisciplinary setting, spanning over the areas of architecture, specifically lighting design and building information modeling, to virtual reality (VR) and perception.\nSince vision impairments are hardly taken into account in architecture and lighting design today, this research aims to provide the necessary tools to quantify the effects of vision impairments, so design guidelines regarding these impairments can be developed.\nAnother research goal is the determination of the influence of different lighting conditions on the perception of people with vision impairments.\nThis would allow us to develop smart lighting systems that can aid visually impaired people by increasing their visual perception of their environment.\nThis paper also outlines the concept for a tool to automatically generate lighting solutions and compare and test them in VR, as design aid for architects and lighting designers.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 642,
            "image_height": 595,
            "name": "kroesl-2018-DC-image.png",
            "type": "image/png",
            "size": 316715,
            "path": "Publication:kroesl-2018-DC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030
        ],
        "booktitle": "Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)",
        "event": "ISMAR 2018",
        "lecturer": [
            1030
        ],
        "location": "Munich",
        "open_access": "no",
        "publisher": "IEEE",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "vision impairments",
            "lighting design",
            "virtual reality",
            "user study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 642,
                "image_height": 595,
                "name": "kroesl-2018-DC-image.png",
                "type": "image/png",
                "size": 316715,
                "path": "Publication:kroesl-2018-DC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-image:thumb{{size}}.png"
            },
            {
                "description": "author's version",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2018-DC-paper.pdf",
                "type": "application/pdf",
                "size": 3617601,
                "path": "Publication:kroesl-2018-DC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/kroesl-2018-DC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-DC/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2018-sar",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sit & Relax: Interactive Design of Body-Supporting Surfaces",
        "date": "2018-10",
        "abstract": "We propose a novel method for interactive design of well-fitting body-supporting surfaces that is driven by the pressure distribution on the body's surface. \n\nOur main contribution is an interactive modeling system that utilizes captured body poses and computes an importance field that is proportional to the pressure distribution on the body for a given pose. This distribution indicates where the body should be supported in order to easily hold a particular pose, which is one of the measures of comfortable sitting. \t\n\nUsing our approximation, we propose the entire workflow for interactive design of $C^2$ smooth surfaces which serve as seats, or generally, as body supporting furniture for comfortable sitting. Finally, we also provide a design tool for Rhino/Grasshopper that allows for  interactive creation of single designs or entire multi-person sitting scenarios. We also test the tool with design students and present several results. \t\t\n\nOur method aims at interactive design in order to help designers to create appropriate surfaces digitally without additional empirical design passes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1339,
            "image_height": 743,
            "name": "leimer-2018-sar-image.png",
            "type": "image/png",
            "size": 938874,
            "path": "Publication:leimer-2018-sar",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019,
            836,
            1063,
            844
        ],
        "cfp": {
            "name": "call_for_papers.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "2740870",
            "orig_name": "call_for_papers.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-10-08",
        "date_to": "2018-10-11",
        "doi": "10.1111/cgf.13573",
        "event": "Pacific Graphics 2018",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1019
        ],
        "location": "Hong Kong",
        "number": "7",
        "open_access": "yes",
        "pages_from": "349",
        "pages_to": "359",
        "volume": "37",
        "research_areas": [
            "Fabrication",
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "interactive modeling",
            "interactive design",
            "digital fabrication"
        ],
        "weblinks": [
            {
                "href": "https://doi.org/10.1111/cgf.13573 ",
                "caption": "DOI",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1339,
                "image_height": 743,
                "name": "leimer-2018-sar-image.png",
                "type": "image/png",
                "size": 938874,
                "path": "Publication:leimer-2018-sar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2018-sar-preprint.pdf",
                "type": "application/pdf",
                "size": 10955588,
                "path": "Publication:leimer-2018-sar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-preprint:thumb{{size}}.png"
            },
            {
                "description": "video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2018-sar-video.mp4",
                "type": "video/mp4",
                "size": 201674852,
                "path": "Publication:leimer-2018-sar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/leimer-2018-sar-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB",
            "geo-materials"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/leimer-2018-sar/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2018-withteeth",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "WithTeeth: Denture Preview in Augmented Reality",
        "date": "2018-10",
        "abstract": "Dentures are prosthetic devices replacing missing or damaged teeth, often used for dental reconstruction. Dental reconstruction improves the functional state and aesthetic appearance of teeth. State-of-the-art methods used by dental technicians typically do not include the aesthetic analysis, which often leads to unsatisfactory results for patients. In this paper, we present a virtual mirror approach for a dental treatment preview in augmented reality. Different denture presets are visually evaluated and compared by switching them on the fly. Our main goals are to provide a virtual dental treatment preview to facilitate early feedback, and hence to build the confidence and trust of patients in the outcome. The workflow of our algorithm is as follows. First, the face is detected and 2D facial landmarks are extracted. Then, 3D pose estimation of upper and lower jaws is performed and high-quality 3D models of the upper and lower dentures are fitted. The fitting uses the occlusal plane angle as determined manually by dental technicians. To provide a realistic impression of the virtual teeth, the dentures are rendered with motion blur. We demonstrate the robustness and visual quality of our approach by comparing the results of a webcam to a DSLR camera under natural, as well as controlled lighting conditions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            817,
            660,
            582,
            1628,
            1629,
            166
        ],
        "address": "https://diglib.eg.org/handle/10.2312/vmv20181250",
        "booktitle": "Vision, Modeling and Visualization",
        "cfp": {
            "name": "call_for_paper_vmv18.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "748387",
            "orig_name": "call_for_paper_vmv18.pdf",
            "ext": "pdf"
        },
        "editor": "Beck, Fabian and Dachsbacher, Carsten and Sadlo, Filip",
        "event": "VMV18",
        "isbn": "978-3-03868-072-7",
        "lecturer": [
            1170
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2018-withteeth-paper.pdf",
                "type": "application/pdf",
                "size": 4951324,
                "path": "Publication:amirkhanov-2018-withteeth",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video demo",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2018-withteeth-video demo.mp4",
                "type": "video/mp4",
                "size": 35459157,
                "path": "Publication:amirkhanov-2018-withteeth",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/amirkhanov-2018-withteeth-video demo:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Smile Analytics"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/amirkhanov-2018-withteeth/",
        "__class": "Publication"
    },
    {
        "id": "edlinger-2018-vwr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visually Linking web search results with bookmarked information",
        "date": "2018-10",
        "abstract": "This work presents a new approach of regaining access to stored information and for the visualization of similarities between new information and locally stored data. The fact that bookmarks are cumbersome to use and that there is no possibility to compare web search results with local information motivates the concept of this thesis. The\nimplementation was done as Google Chrome extension and based on the ’Information\nCollage’ environment. In order to improve the perceived ease of use, the visualization was integrated in the search engine results page to avoid a context switch for the user. The\nvisualization uses a word cloud to display similarities and differences between remote and\nlocal information. The word cloud layout focuses on the spatial arrangment and the text\ncolour of the words to encode their association to the remote or the local information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 761,
            "image_height": 758,
            "name": "edlinger-2018-vwr-teaser.png",
            "type": "image/png",
            "size": 267653,
            "path": "Publication:edlinger-2018-vwr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1465
        ],
        "date_end": "2018-10",
        "date_start": "2017-06",
        "matrikelnr": "1027088",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 761,
                "image_height": 758,
                "name": "edlinger-2018-vwr-teaser.png",
                "type": "image/png",
                "size": 267653,
                "path": "Publication:edlinger-2018-vwr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "edlinger-2018-vwr-thesis.pdf",
                "type": "application/pdf",
                "size": 9699891,
                "path": "Publication:edlinger-2018-vwr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/edlinger-2018-vwr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/edlinger-2018-vwr/",
        "__class": "Publication"
    },
    {
        "id": "steinboeck-2018-lbg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Casual Visual Exploration of Large Bipartite Graphs Using Hierarchical Aggregation and Filtering",
        "date": "2018-10",
        "abstract": "Bipartite graphs are typically visualized using linked\nlists or matrices. However, these classic visualization techniques\ndo not scale well with the number of nodes. Biclustering has\nbeen used to aggregate edges, but not to create linked lists\nwith thousands of nodes. In this paper, we present a new\ncasual exploration interface for large, weighted bipartite graphs,\nwhich allows for multi-scale exploration through hierarchical\naggregation of nodes and edges using biclustering in linked\nlists. We demonstrate the usefulness of the technique using two\ndata sets: a database of media advertising expenses of public\nauthorities and author-keyword co-occurrences from the IEEE\nVisualization Publication collection. Through an insight-based\nstudy with lay users, we show that the biclustering interface leads\nto longer exploration times, more insights, and more unexpected\nfindings than a baseline interface using only filtering. However,\nusers also perceive the biclustering interface as more complex.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "BiCFlows showing visualization authors and their key words",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 708,
            "image_height": 702,
            "name": "steinboeck-2018-lbg-teaser.png",
            "type": "image/png",
            "size": 137906,
            "path": "Publication:steinboeck-2018-lbg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1378,
            166,
            1110
        ],
        "booktitle": "International Symposium on Big Data Visual and Immersive Analytics",
        "event": "4th International Symposium on Big Data Visual and Immersive Analytics",
        "lecturer": [
            1110
        ],
        "location": "Konstanz, Germany",
        "organization": "IEEE",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "information visualization",
            "bipartite graphs",
            "biclustering",
            "insight-based evaluation"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/~waldner/bicflows/",
                "caption": "BiCFlows online",
                "description": "BiCFlows online for exploring Austria's media transparency database and the IEEE Visualization paper authors and their key words. ",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinboeck-2018-lbg-paper.pdf",
                "type": "application/pdf",
                "size": 1871535,
                "path": "Publication:steinboeck-2018-lbg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-paper:thumb{{size}}.png"
            },
            {
                "description": "BiCFlows showing visualization authors and their key words",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 708,
                "image_height": 702,
                "name": "steinboeck-2018-lbg-teaser.png",
                "type": "image/png",
                "size": 137906,
                "path": "Publication:steinboeck-2018-lbg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/steinboeck-2018-lbg-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2018-lbg/",
        "__class": "Publication"
    },
    {
        "id": "birsak-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/7025",
        "title": "Discrete Optimization on Graphs and Grids for the Creation of Navigational and Artistic Imagery",
        "date": "2018-09-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836
        ],
        "date_end": "2018-09",
        "date_start": "2012-08",
        "reviewer_1": [
            474
        ],
        "reviewer_2": [
            194
        ],
        "rigorosum": "2018-10-17",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Photo-Guide",
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-thesis/",
        "__class": "Publication"
    },
    {
        "id": "miao_plitvice_2018",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Modeling of DNA Nanostructures",
        "date": "2018-09-18",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1280,
            "image_height": 720,
            "name": "miao_plitvice_2018-.png",
            "type": "image/png",
            "size": 74461,
            "path": "Publication:miao_plitvice_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "event": "First DNA Engineering Workshop 2018",
        "location": "Plitvice Lakes, Croatia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "miao_plitvice_2018-.png",
                "type": "image/png",
                "size": 74461,
                "path": "Publication:miao_plitvice_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/miao_plitvice_2018-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_plitvice_2018/",
        "__class": "Publication"
    },
    {
        "id": "klaffenboeck-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(untitled)",
        "date": "2018-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1598
        ],
        "date_start": "2018-09",
        "duration": "2018-ongoing",
        "matrikelnr": "00301042",
        "supervisor": [
            193
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klaffenboeck-thesis/",
        "__class": "Publication"
    },
    {
        "id": "koch_bernhard_2018-1",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization",
        "date": "2018-09",
        "abstract": "Visual clutter is a major problem in large biological data visualization. It is often addressed through the means of level of detail\nschemes coupled with an appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used to\nimprove the depth perception. However, when used excessively, these techniques are sources of visual clutter themselves. In\nthis paper we present a new approach to screen-space illumination algorithms suitable for use in illustrative visualization. The\nillumination effect can be controlled so that desired levels of semantic scene organization cast shadows while other remain\nflat. This way the illumination design can be parameterized to keep visual clutter, originating from illumination, to a minimum,\nwhile also guiding the user in a multiscale model exploration. We achieve this by selectively applying occlusion shading based\non the inherent semantics of the visualized hierarchically-organized data. The technique is in principle generally applicable\nto any hierarchically organized 3D scene and has been demonstrated on an exemplary scene from integrative structural biology.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2120,
            "image_height": 734,
            "name": "koch_bernhard_2018-1-image.JPG",
            "type": "image/jpeg",
            "size": 371526,
            "path": "Publication:koch_bernhard_2018-1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1604,
            1383,
            1285,
            935,
            171
        ],
        "cfp": {
            "name": "Call for Papers – VCBM 2018.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "179394",
            "orig_name": "Call for Papers – VCBM 2018.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-09",
        "date_to": "2018-09",
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2120,
                "image_height": 734,
                "name": "koch_bernhard_2018-1-image.JPG",
                "type": "image/jpeg",
                "size": 371526,
                "path": "Publication:koch_bernhard_2018-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koch_bernhard_2018-1-paper.pdf",
                "type": "application/pdf",
                "size": 9041724,
                "path": "Publication:koch_bernhard_2018-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "koch_bernhard_2018-1-video.mp4",
                "type": "video/mp4",
                "size": 76794010,
                "path": "Publication:koch_bernhard_2018-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/koch_bernhard_2018-1-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch_bernhard_2018-1/",
        "__class": "Publication"
    },
    {
        "id": "GAMPER-2018-OSG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/7037",
        "title": "Ocean Surface Generation and Rendering",
        "date": "2018-09",
        "abstract": "The synthesis of a believable depiction of the ocean surface is a permanent topic of interest in\ncomputer graphics. It represents even more of a challenge for applications which require the\nreal-time display of a water body as large as the ocean. That is because the ocean is a highly\ndynamic system which combines waves at all scales, ranging from millimetres to kilometres.\nMoreover, the ocean may be observed from several distances, ranging from close-ups to views\nwhich reach the horizon. Thus, we present a framework to generate and render the open ocean in\nreal time, for arbitrary viewing distances and including waves at all scales. We focus our efforts\non the geometry of the animated ocean surface, for which we leverage a set of wave spectrum\nmodels from oceanographic research. We discuss the intricacies of said models, as well as their\nfitness for real-time rendering. Moreover, we delineate in detail how to integrate distinct wave\nspectrum models into a coherent framework, from which one is able obtain believable, consistent\nand coherent results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1278,
            "image_height": 719,
            "name": "GAMPER-2018-OSG-image.jpg",
            "type": "image/jpeg",
            "size": 97135,
            "path": "Publication:GAMPER-2018-OSG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            747
        ],
        "date_end": "2018-09",
        "date_start": "2007",
        "matrikelnr": "0107543",
        "open_access": "yes",
        "supervisor": [
            193,
            567
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "ocean rendering",
            "wave synthesis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1278,
                "image_height": 719,
                "name": "GAMPER-2018-OSG-image.jpg",
                "type": "image/jpeg",
                "size": 97135,
                "path": "Publication:GAMPER-2018-OSG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GAMPER-2018-OSG-poster.pdf",
                "type": "application/pdf",
                "size": 21604047,
                "path": "Publication:GAMPER-2018-OSG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GAMPER-2018-OSG-thesis.pdf",
                "type": "application/pdf",
                "size": 54905917,
                "path": "Publication:GAMPER-2018-OSG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/GAMPER-2018-OSG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GAMPER-2018-OSG/",
        "__class": "Publication"
    },
    {
        "id": "haushofer-2018-skinning",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic molecular animation: GPU skinning for molecular data",
        "date": "2018-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "preview-image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 597,
            "image_height": 663,
            "name": "haushofer-2018-skinning-preview-image.PNG",
            "type": "image/png",
            "size": 197912,
            "path": "Publication:haushofer-2018-skinning",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1554
        ],
        "co_supervisor": [
            1383
        ],
        "date_end": "2018-09",
        "date_start": "2018-03",
        "matrikelnr": "1525970",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "preview-image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 597,
                "image_height": 663,
                "name": "haushofer-2018-skinning-preview-image.PNG",
                "type": "image/png",
                "size": 197912,
                "path": "Publication:haushofer-2018-skinning",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-preview-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haushofer-2018-skinning-thesis.pdf",
                "type": "application/pdf",
                "size": 3180502,
                "path": "Publication:haushofer-2018-skinning",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haushofer-2018-skinning-video.webm",
                "type": "video/webm",
                "size": 10769911,
                "path": "Publication:haushofer-2018-skinning",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video.webm",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/haushofer-2018-skinning-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/haushofer-2018-skinning/",
        "__class": "Publication"
    },
    {
        "id": "raidou2018visualflatter",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures",
        "date": "2018-09",
        "abstract": "Projections of complex anatomical or biological structures from 3D to 2D are often used by visualization and domain experts\nto facilitate inspection and understanding. Representing complex structures, such as organs or molecules, in a simpler 2D\nway often requires less interaction, while enabling comparability. However, the most commonly employed projection methods\nintroduce size or shape distortions, in the resulting 2D representations. While simple projections display known distortion\npatterns, more complex projection algorithms are not easily predictable.We propose the VisualFlatter, a visual analysis tool that\nenables visualization and domain experts to explore and analyze projection-induced distortions, in a structured way. Our tool\nprovides a way to identify projected regions with semantically relevant distortions and allows users to comparatively analyze\ndistortion outcomes, either from alternative projection methods or due to different setups through the projection pipeline. The\nuser is given the ability to improve the initial projection configuration, after comparing different setups. We demonstrate the\nfunctionality of our tool using four scenarios of 3D to 2D projections, conducted with the help of domain or visualization experts\nworking on different application fields. We also performed a wider evaluation with 13 participants, familiar with projections,\nto assess the usability and functionality of the Visual Flatter.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366,
            1367,
            166,
            1410
        ],
        "cfp": {
            "name": "UI.PNG",
            "type": "image/png",
            "error": "0",
            "size": "739280",
            "orig_name": "UI.PNG",
            "ext": "PNG"
        },
        "date_from": "2018",
        "date_to": "2018",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine (2018)",
        "journal": "Eurographics Proceedings",
        "lecturer": [
            1410
        ],
        "research_areas": [
            "BioVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou2018visualflatter-demo.mp4",
                "type": "video/mp4",
                "size": 64003568,
                "path": "Publication:raidou2018visualflatter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-demo:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 972,
                "name": "raidou2018visualflatter-image.png",
                "type": "image/png",
                "size": 771897,
                "path": "Publication:raidou2018visualflatter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou2018visualflatter-paper.pdf",
                "type": "application/pdf",
                "size": 4204706,
                "path": "Publication:raidou2018visualflatter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/raidou2018visualflatter-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018visualflatter/",
        "__class": "Publication"
    },
    {
        "id": "Muehlbacher_diss_2018",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Human-Oriented Statistical Modeling: Making Algorithms Accessible through Interactive Visualization",
        "date": "2018-08-30",
        "abstract": "Statistical modeling is a key technology for generating business value from data. While the number of available algorithms and the need for them is growing, the number of people with the skills to effectively use such methods lags behind. Many application domain experts find it hard to use and trust algorithms that come as black boxes with insufficient interfaces to adapt. The field of Visual Analytics aims to solve this problem by a human-oriented approach that puts users in control of algorithms through interactive\nvisual interfaces. However, designing accessible solutions for a broad set of users while re-using existing, proven algorithms poses significant challenges for the design of analytical infrastructures, visualizations, and interactions.\nThis thesis provides multiple contributions towards a more human-oriented modeling\nprocess: As a theoretical basis, it investigates how user involvement during the execution of algorithms can be realized from a technical perspective. Based on a characterization of needs regarding intermediate feedback and control, a set of formal strategies to realize user involvement in algorithms with different characteristics is presented. Guidelines\nfor the design of algorithmic APIs are identified, and requirements for the re-use of algorithms are discussed. From a survey of frequently used algorithms within R, the\nthesis concludes that a range of pragmatic options for enabling user involvement in new and existing algorithms exist and should be used. After these conceptual considerations, the thesis presents two methodological contributions that demonstrate how even inexperienced modelers can be effectively involved in the\nmodeling process. First, a new technique called TreePOD guides the selection of decision trees along trade-offs between accuracy and other objectives, such as interpretability.\nUsers can interactively explore a diverse set of candidate models generated by sampling the parameters of tree construction algorithms. Visualizations provide an overview of possible tree characteristics and guide model selection, while details on the underlying machine learning process are only exposed on demand. Real-world evaluation with\ndomain experts in the energy sector suggests that TreePOD enables users with and without statistical background a confident identification of suitable decision trees. As the second methodological contribution, the thesis presents a framework for interactive\nbuilding and validation of regression models. The framework addresses limitations of automated regression algorithms regarding the incorporation of domain knowledge, identifying local dependencies, and building trust in the models. Candidate variables for model refinement are ranked, and their relationship with the target variable is visualized to support an interactive workflow of building regression models. A real-world case study and feedback from domain experts in the energy sector indicate a significant effort\nreduction and increased transparency of the modeling process.\nAll methodological contributions of this work were implemented as part of a commercially distributed Visual Analytics software called Visplore. As the last contribution, this thesis reflects upon years of experience in deploying Visplore for modeling-related tasks in the energy sector. Dissemination and adoption are important aspects of making statistical\nmodels more accessible for domain experts, making this work relevant for practitioners\nand application-oriented researchers alike.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 306,
            "image_height": 284,
            "name": "Muehlbacher_diss_2018-image.PNG",
            "type": "image/png",
            "size": 34227,
            "path": "Publication:Muehlbacher_diss_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            804
        ],
        "co_supervisor": [
            451
        ],
        "date_end": "2018-08",
        "date_start": "2012-06",
        "matrikelnr": "0625075",
        "reviewer_1": [
            176
        ],
        "reviewer_2": [
            1144
        ],
        "rigorosum": "2018-11-09",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 306,
                "image_height": 284,
                "name": "Muehlbacher_diss_2018-image.PNG",
                "type": "image/png",
                "size": 34227,
                "path": "Publication:Muehlbacher_diss_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/Muehlbacher_diss_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Muehlbacher_diss_2018/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2018-pg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples",
        "date": "2018-08-24",
        "abstract": "We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud.\nOur proposed method uses a two-pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along this manifold and express these as residuals in order to enable parametric denoising.\nThis separates recovering low-frequency features from denoising high frequencies, which avoids over-smoothing.\nThe noise probability density functions (PDFs) at samples are either taken from sensor noise models or from estimates of the connectivity recovered in the first pass.\nThe output curve balances the signed distances (inside/outside) to the samples.\nAdditionally, the angles between edges of the polygon representing the connectivity become minimized in the least-square sense.\nThe movement of the polygon's vertices is restricted to their noise extent, i.e., a cut-off distance corresponding to a maximum variance of the PDFs.\nWe approximate the resulting optimization model, which consists of higher-order functions, by a linear model with good correspondence.\nOur algorithm is parameter-free and operates fast on the local neighborhoods determined by the connectivity.\n%We augment a least-squares solver constrained by a linear system to also handle bounds.\nThis enables us to guarantee stochastic error bounds for sampled curves corrupted by noise, e.g., silhouettes from sensed data, and we improve on the reconstruction error from ground truth.\nSource code is available online. An extended version is available at: https://arxiv.org/abs/1808.07778",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 828,
            "image_height": 812,
            "name": "ohrhallinger_stefan-2018-pg-image.png",
            "type": "image/png",
            "size": 68562,
            "path": "Publication:ohrhallinger_stefan-2018-pg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            193
        ],
        "booktitle": "Proceedings of Pacific Graphics 2018",
        "date_from": "2018-10-08",
        "date_to": "2018-10-11",
        "editor": "H. Fu, A. Ghosh, and J. Kopf (Guest Editors)",
        "event": "Pacific Graphics 2018",
        "isbn": "978-3-03868-073-4",
        "lecturer": [
            948
        ],
        "location": "Hong Kong",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Denoising",
            "Curve reconstruction",
            "Optimization"
        ],
        "weblinks": [
            {
                "href": "https://arxiv.org/abs/1808.07778",
                "caption": "Extended version",
                "description": null,
                "main_file": 1
            },
            {
                "href": "https://github.com/stefango74/stretchdenoise",
                "caption": "source",
                "description": "source code on github",
                "main_file": 1
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 828,
                "image_height": 812,
                "name": "ohrhallinger_stefan-2018-pg-image.png",
                "type": "image/png",
                "size": 68562,
                "path": "Publication:ohrhallinger_stefan-2018-pg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2018-pg-paper.pdf",
                "type": "application/pdf",
                "size": 703514,
                "path": "Publication:ohrhallinger_stefan-2018-pg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/ohrhallinger_stefan-2018-pg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/ohrhallinger_stefan-2018-pg/",
        "__class": "Publication"
    },
    {
        "id": "Eckelt_2018_01",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data-Driven User Guidance in Multi-Attribute Data Exploration",
        "date": "2018-08-18",
        "abstract": "Seeking relationships in multi-dimensional datasets is a common task, but can quickly\nbecome tedious due to the heterogeneity and increasing size of the data. Its visualization can be approached in a variety of ways: (i) projection techniques decrease the number of dimensions to a fraction before visualizing items, creating clusters where similarities in the high-level space may be derived; (ii) overview visualization techniques display selected\nattributes and all of their items’ values to discover patterns and find relationships; (iii) tabular techniques give an insight into the individual items and thus favor their detailed\nanalysis and exploration.\nHowever, while the interactive selection of a data subset during exploration is most easily done with tabular visualizations, finding relationships and patterns is not. Also, with overview techniques the number of attribute combinations quickly outgrows reasonable dimensions.\nIn this thesis, a data-driven touring process for Visual Analytics (VA) tools is presented that guides users in discovering relationships for a data subset of their interest. Based on the user’s selection, attributes that show some kind of similarity are presented. The selection can be done on attribute and item level. While a selected attribute is compared to all other attributes in the dataset, item sets are compared to the individual\ncategories of attributes. This comparison can be based on a number of similarity measures.\nTo cope with heterogeneity of data types, numerical attributes are discretized to achieve maximum similarity. In hierarchical attributes, the most similar subtree is sought. The touring process is also independent of the data domain and its visualization. This independence is demonstrated by the use of three different datasets and the integration of the touring process into two VA systems. These extended systems were shown to medical experts of the Kepler University Hospital, who will use them in the near future. Their feedback was incorporated to improve the guidance process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 574,
            "image_height": 317,
            "name": "Eckelt_2018_01-image.JPG",
            "type": "image/jpeg",
            "size": 32290,
            "path": "Publication:Eckelt_2018_01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1401
        ],
        "date_end": "2018-08-18",
        "date_start": "2018-01-03",
        "matrikelnr": "1127705",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 574,
                "image_height": 317,
                "name": "Eckelt_2018_01-image.JPG",
                "type": "image/jpeg",
                "size": 32290,
                "path": "Publication:Eckelt_2018_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Eckelt_2018_01-Master thesis.pdf",
                "type": "application/pdf",
                "size": 12430400,
                "path": "Publication:Eckelt_2018_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Eckelt_2018_01-Poster.pdf",
                "type": "application/pdf",
                "size": 343124,
                "path": "Publication:Eckelt_2018_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/Eckelt_2018_01-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Eckelt_2018_01/",
        "__class": "Publication"
    },
    {
        "id": "OPPTIZ-2018-IVRL",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing Virtual Ray Lights for Rendering Scenes with Participating Media",
        "date": "2018-08-07",
        "abstract": "This thesis documents the full implementation of the method Virtual Ray Lights for\nRendering Scenes with Participating Media. As a basic understanding of the foundations\nof rendering and related approaches is necessary to understand this complex method,\nthese foundations are discussed first. There, the rendering equation and the physical\nbehaviour of light is described. Additionally, rendering approaches like Recursive Ray\nTracing and Photon Mapping that do not consider participating media, as well as methods\nlike Volumetric Photon Mapping, Virtual Point Lights and Photon Beams, which are\nable to render participating media, are evaluated.\nFor the discussion on Virtual Ray Lights, the evaluation takes place in three parts.\nFirst, the method is discussed in general with a mathematical analysis. Afterwards,\nimplementation details are evaluated where pseudocode examples are provided. Lastly,\nthe rendered results of the implementation are evaluated thoroughly. These results are\nalso compared to provided images from various research papers.\nThe goal of this thesis is to provide an implementation of Virtual Ray Lights, as\nwell as providing the tools to implement this method in other projects. We provide the\nwell-documented source code for this project, with the scene settings to recreate the\nexamples.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 639,
            "image_height": 511,
            "name": "OPPTIZ-2018-IVRL-image.jpg",
            "type": "image/jpeg",
            "size": 39420,
            "path": "Publication:OPPTIZ-2018-IVRL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1501
        ],
        "date_end": "2018-08-07",
        "date_start": "2018-01-01",
        "matrikelnr": "01227129",
        "supervisor": [
            1073,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "virtual point lights"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 639,
                "image_height": 511,
                "name": "OPPTIZ-2018-IVRL-image.jpg",
                "type": "image/jpeg",
                "size": 39420,
                "path": "Publication:OPPTIZ-2018-IVRL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "OPPTIZ-2018-IVRL-thesis.pdf",
                "type": "application/pdf",
                "size": 70710134,
                "path": "Publication:OPPTIZ-2018-IVRL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/OPPTIZ-2018-IVRL-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/OPPTIZ-2018-IVRL/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-2018-PPC",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Real-Time Rendering of Unprocessed Point Clouds",
        "date": "2018-08",
        "abstract": "Rendering tens of millions of points in real time usually requires either high-end \ngraphics cards, or the use of spatial acceleration structures. \nWe introduce a method to progressively display as many points as the GPU memory can hold in real time \nby reprojecting what was visible and randomly adding additional points to uniformly \nconverge towards the full result within a few frames. \n\nOur method heavily limits the number of points that have to be rendered each frame and \nit converges quickly and in a visually pleasing way, which makes it suitable even \nfor notebooks with low-end GPUs. \nThe data structure consists of a randomly shuffled array of points that is incrementally generated \non-the-fly while points are being loaded. \n\nDue to this, it can be used to directly view point clouds in common sequential formats such as LAS or LAZ while they are being loaded and without the need to generate spatial acceleration structures in advance, as long as the data fits into GPU memory.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1213,
            "image_height": 662,
            "name": "schuetz-2018-PPC-.png",
            "type": "image/png",
            "size": 1023977,
            "path": "Publication:schuetz-2018-PPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            193
        ],
        "cfp": {
            "name": "call_for_posters.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "630843",
            "orig_name": "call_for_posters.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-08-12",
        "date_to": "2018-08-16",
        "doi": "10.1145/3230744.3230816",
        "event": "ACM SIGGRAPH 2018",
        "isbn": "978-1-4503-5817-0/18/08",
        "location": "Vancouver, Canada",
        "pages_from": "Article 41",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point based rendering, point cloud, LIDAR"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1213,
                "image_height": 662,
                "name": "schuetz-2018-PPC-.png",
                "type": "image/png",
                "size": 1023977,
                "path": "Publication:schuetz-2018-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-2018-PPC-abstract.pdf",
                "type": "application/pdf",
                "size": 1041710,
                "path": "Publication:schuetz-2018-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1200,
                "preview_image_height": 857,
                "name": "schuetz-2018-PPC-poster.pdf",
                "type": "application/pdf",
                "size": 21784835,
                "path": "Publication:schuetz-2018-PPC",
                "preview_name": "schuetz-2018-PPC-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 582932,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/schuetz-2018-PPC-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schuetz-2018-PPC/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2018-TVS",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Virtual Schoolyard: Attention Training in Virtual Reality for Children with Attentional Disorders",
        "date": "2018-08",
        "abstract": "This work presents a virtual reality simulation for training different attentional abilities in children and adolescents. In an interdisciplinary project between psychology and computer science, we developed four mini-games that are used during therapy sessions to battle different aspects of attentional disorders. First experiments show that the immersive game-like application is well received by children. Our tool is also currently part of a treatment program in an ongoing clinical study.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1000,
            "name": "kroesl-2018-TVS-.png",
            "type": "image/png",
            "size": 2314610,
            "path": "Publication:kroesl-2018-TVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1599,
            1600,
            1601,
            1602,
            193,
            1603
        ],
        "cfp": {
            "name": "call_for_posters.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "630843",
            "orig_name": "call_for_posters.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-08-12",
        "date_to": "2018-08-16",
        "doi": "10.1145/3230744.3230817",
        "event": "ACM SIGGRAPH 2018",
        "isbn": "978-1-4503-5817-0",
        "location": "Vancouver, Canada",
        "pages_from": "Article 27",
        "publisher": "ACM",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "virtual reality",
            "attentional disorders",
            "user study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1000,
                "name": "kroesl-2018-TVS-.png",
                "type": "image/png",
                "size": 2314610,
                "path": "Publication:kroesl-2018-TVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2018-TVS-abstract.pdf",
                "type": "application/pdf",
                "size": 20280477,
                "path": "Publication:kroesl-2018-TVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 900,
                "preview_image_height": 1200,
                "name": "kroesl-2018-TVS-poster.pdf",
                "type": "application/pdf",
                "size": 5352291,
                "path": "Publication:kroesl-2018-TVS",
                "preview_name": "kroesl-2018-TVS-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 1288394,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 853,
                "preview_image_height": 481,
                "name": "kroesl-2018-TVS-video.mp4",
                "type": "video/mp4",
                "size": 161407034,
                "path": "Publication:kroesl-2018-TVS",
                "preview_name": "kroesl-2018-TVS-video:preview.png",
                "preview_type": "image/png",
                "preview_size": 105824,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/kroesl-2018-TVS-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/kroesl-2018-TVS/",
        "__class": "Publication"
    },
    {
        "id": "zsolnai-2018-gms",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gaussian Material Synthesis",
        "date": "2018-08",
        "abstract": "We present a learning-based system for rapid mass-scale material synthesis that is useful for novice and expert users alike. The user preferences are learned via Gaussian Process Regression and can be easily sampled for new recommendations. Typically, each recommendation takes 40-60 seconds to render with global illumination, which makes this process impracticable for real-world workflows. Our neural network eliminates this bottleneck by providing high-quality image predictions in real time, after which it is possible to pick the desired materials from a gallery and assign them to a scene in an intuitive manner. Workflow timings against Disney’s “principled” shader reveal that our system scales well with the number of sought materials, thus empowering even novice users to generate hundreds of high-quality material models without any expertise in material modeling. Similarly, expert users experience a significant decrease in the total modeling time when populating a scene with materials. Furthermore, our proposed solution also offers controllable recommendations and a novel latent space variant generation step to enable the real-time fine-tuning of materials without requiring any domain expertise.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2043,
            "image_height": 2229,
            "name": "zsolnai-2018-gms-teaser2.jpg",
            "type": "image/jpeg",
            "size": 1534101,
            "path": "Publication:zsolnai-2018-gms",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073,
            194,
            193
        ],
        "date_from": "2018-08-06",
        "date_to": "2018-08-12",
        "doi": "10.1145/3197517.3201307",
        "event": "SIGGRAPH 2018",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics (SIGGRAPH 2018)",
        "lecturer": [
            1073
        ],
        "location": "Vancouver, Canada",
        "number": "4",
        "open_access": "yes",
        "pages_from": "76:1",
        "pages_to": "76:14",
        "volume": "37",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "gaussian material synthesis",
            "neural rendering",
            "neural rendering"
        ],
        "weblinks": [
            {
                "href": "https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/",
                "caption": "Project webpage with source code",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnai-2018-gms-paper.pdf",
                "type": "application/pdf",
                "size": 53921452,
                "path": "Publication:zsolnai-2018-gms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementary",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnai-2018-gms-supplementary.pdf",
                "type": "application/pdf",
                "size": 19797132,
                "path": "Publication:zsolnai-2018-gms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-supplementary:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2688,
                "image_height": 1512,
                "name": "zsolnai-2018-gms-teaser.jpg",
                "type": "image/jpeg",
                "size": 1551044,
                "path": "Publication:zsolnai-2018-gms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2043,
                "image_height": 2229,
                "name": "zsolnai-2018-gms-teaser2.jpg",
                "type": "image/jpeg",
                "size": 1534101,
                "path": "Publication:zsolnai-2018-gms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-teaser2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zsolnai-2018-gms-video.mp4",
                "type": "video/mp4",
                "size": 635323427,
                "path": "Publication:zsolnai-2018-gms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/zsolnai-2018-gms-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "PathSpace"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/zsolnai-2018-gms/",
        "__class": "Publication"
    },
    {
        "id": "HECHER-2017-HDY",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "How Do Users Map Points Between Dissimilar Shapes?",
        "date": "2018-08",
        "abstract": "Finding similar points in globally or locally similar shapes has been studied extensively through the use of various point descriptors or shape-matching methods. However, little work exists on finding similar points in dissimilar shapes. In this paper, we present the results of a study where users were given two dissimilar two-dimensional shapes and asked to map a given point in the first shape to the point in the second shape they consider most similar. We find that user mappings in this study correlate strongly with simple geometric relationships between points and shapes. To predict the probability distribution of user mappings between any pair of simple two-dimensional shapes, two distinct statistical models are defined using these relationships. We perform a thorough validation of the accuracy of these predictions and compare our models qualitatively and quantitatively to well-known shape-matching methods. Using our predictive models, we propose an approach to map objects or procedural content between different shapes in different design scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1323,
            "image_height": 742,
            "name": "HECHER-2017-HDY-image.png",
            "type": "image/png",
            "size": 1637744,
            "path": "Publication:HECHER-2017-HDY",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            779,
            627,
            194,
            193
        ],
        "doi": "10.1109/TVCG.2017.2730877",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "8",
        "open_access": "no",
        "pages_from": "2327",
        "pages_to": "2338",
        "volume": "24",
        "research_areas": [
            "Modeling",
            "Perception"
        ],
        "keywords": [
            "shape matching",
            "transformations",
            "shape similarity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "HECHER-2017-HDY-draft.pdf",
                "type": "application/pdf",
                "size": 13870249,
                "path": "Publication:HECHER-2017-HDY",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1323,
                "image_height": 742,
                "name": "HECHER-2017-HDY-image.png",
                "type": "image/png",
                "size": 1637744,
                "path": "Publication:HECHER-2017-HDY",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/HECHER-2017-HDY-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/HECHER-2017-HDY/",
        "__class": "Publication"
    },
    {
        "id": "Bauer_David_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Visual Assessment of Osteoarthritis",
        "date": "2018-07-17",
        "abstract": "Computer-aided visualisations are a powerful tool to make large datasets more accessible. Artificial intelligence (AI) also offers diverse ways in which to extract semantic values from large data stocks. It enables users to analyse records in ways that often exceed conventional methods in their specificity and accuracy.\nMedicine - more specifically those specialisations requiring imaging methods - are in need of sophisticated visualisation techniques. Our team at ImageBiopsy Lab [Lju17] runs development and research in the field of AI aided visualisations in medicine. For my thesis I developed a system for measuring the joint space in x-rays of the knee, based on existing concepts. Results of the measurements are processed and presented to the user as an augmented picture. This is achieved by employing different layers of graphical\noverlays on top of the original image. All measurements are based on parameters of the\nKellgren and Lawrence System (KLS) for classification of Osteoarthritis (OA).\nThe proposed method enables its users to asses the stage and tendency of OA in the\nknee at first glance as compared to conventional methods, which can be tedious and time-consuming. Calculated focus points in the mask layers can also be adjusted in\nreal time to accommodate for statistical outliers. The system was incorporated into\nan existing web-based framework which already demonstrates its potential in a clinical environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 372,
            "image_height": 313,
            "name": "Bauer_David_2018-image.JPG",
            "type": "image/jpeg",
            "size": 21458,
            "path": "Publication:Bauer_David_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1597
        ],
        "date_end": "2018-07-17",
        "date_start": "2018-03-10",
        "matrikelnr": "01442385",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_David_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 12160314,
                "path": "Publication:Bauer_David_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 372,
                "image_height": 313,
                "name": "Bauer_David_2018-image.JPG",
                "type": "image/jpeg",
                "size": 21458,
                "path": "Publication:Bauer_David_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/Bauer_David_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_David_2018/",
        "__class": "Publication"
    },
    {
        "id": "Masopust_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Web-Based Osteoarthritis-Analysis Generating Data from Native Libraries and Machine-Learning Models",
        "date": "2018-07-08",
        "abstract": "As artificial intelligence (AI) progresses with seemingly unstoppable speed, its wide field of applications broadens by the day. One area where AI advancements appear to be\nespecially promising is their employment in the medical sector. Nowadays, due to the\nwider availability of processing power, algorithms based on neuronal networks can be used to generate far more data in areas where it previously seemed unthinkable.\nTraditional image-processing-algorithms often utilize computer vision (CV)-algorithms such as edge-detection to generate data from pixel input. While this method of gaining data worked well in the past, AI can help to improve the precision of such an analysis. The area I focussed on in this thesis is the generation of data from x-ray images of the knee joint. ImageBiopsy Lab (IB Lab)’s algorithms relied heavily on CV-based analysis\nfor the diagnosis of osteoarthritis (OA) in the knee. While this yielded good results in the past, this work will show that the use of deep neuronal networks improves accuracy in a significant way.\nFurther, neuronal networks can provide additional information that was a lot harder to be gained before, such as the laterality of a given image.\nThe aim of this project was to diagnose OA faster and more precisely than in the\npast and to embed it into a web-based solution for broader accessibility. To showcase the benefits of the described method, at the time of writing, our software is in the stage of\nbeing rolled out in a hospital in Lower Austria.\nBecause of the advancements mentioned above, this work will focus on the description and comparison of gaining information from x-ray images for a meaningful and efficient diagnosis of OA in the knee. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 703,
            "image_height": 466,
            "name": "Masopust_2018-image.JPG",
            "type": "image/jpeg",
            "size": 52585,
            "path": "Publication:Masopust_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1595
        ],
        "date_end": "2018-07-08",
        "date_start": "2018-03-08",
        "matrikelnr": "01427382",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Masopust_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 17023920,
                "path": "Publication:Masopust_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 703,
                "image_height": 466,
                "name": "Masopust_2018-image.JPG",
                "type": "image/jpeg",
                "size": 52585,
                "path": "Publication:Masopust_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/Masopust_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Masopust_2018/",
        "__class": "Publication"
    },
    {
        "id": "8564188",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Annotation of Schematic Railway Maps",
        "date": "2018-07",
        "abstract": "Octilinear network layouts are commonly used as the schematic\nrepresentation of railway maps due to their enhanced readability.\nHowever, it is often time-consuming to place station names on such\nrailway maps by trial and error, especially within the limited labeling\nspace around interchange stations. This paper presents a progressive\napproach to placing station names around stations in schematic railway\nmaps for better automation of map labeling processes. The idea behind\nour approach is to annotate stations in dense downtown areas around the\ninterchange stations first and then those in sparse rural areas. This is\nachieved by introducing the sum of geodesic distances over the railway\nnetwork to identify the proper order in which to annotate stations. In\nthe actual annotation process, we increase the labeling space around the\nrailway network when necessary by progressively stretching railway line\nsegments while retaining their original directions, which allows us to\nrespect the original schematic layout as much as possible. We present\nseveral experimental results to demonstrate the effectiveness of the\nproposed approach, together with a discussion on parameter tuning in our\nformulation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "8564188-image.png",
            "type": "image/png",
            "size": 28813,
            "path": "Publication:8564188",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1624,
            1625,
            1626,
            1464,
            1627,
            1580
        ],
        "booktitle": "Proceedings of the 22nd International Conference Information Visualisation (IV)",
        "doi": "10.1109/iV.2018.00070",
        "event": "The 22nd International Conference Information Visualisation (IV)",
        "lecturer": [
            1464
        ],
        "pages": "373-378",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Rail transportation;Layout;Labeling;Spacestations;Optimization;Programming;Visualization;Progressive annotation,geodesic distances",
            "schematic layouts",
            "railway maps",
            "mixed-integerprogramming"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "8564188-image.png",
                "type": "image/png",
                "size": 28813,
                "path": "Publication:8564188",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/8564188-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/8564188/",
        "__class": "Publication"
    },
    {
        "id": "Oancea_2018_1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Four Texture Algorithms for Recognizing Early Signs of Osteoarthritis. Data from the Multicenter Osteoarthritis Study.",
        "date": "2018-06-27",
        "abstract": "This master thesis aims to provide an in-depth comparison of four texture algorithms\nin their capacity of discriminating patients with osteoarthritis (OA) from the ones without, recognizing early signs of Osteoarthritis and tracking disease progression from 2D radiographs of the knee trabecular bone (TB). Given the fractal properties of the trabecular bone (TB), two fractal-based algorithms (Bone Variance Value (BVV) and Bone Score Value (BSV)) that try to characterize the complexity of the underlying 3D structure of the bone are presented. The third algorithm (Bone Entropy Value (BEV), based on Shannon’s Entropy) stems from the information theory and aims to describe the bone structure in terms of information complexity. The last algorithm (Bone Coocurrence Value (BCV)) is based on the co-occurrence matrix of an image and describes the image texture in terms of certain Haralick features. If successful, such algorithms posses a great potential to lower the costs (financial, time) associated with the diagnosis of osteoarthritis (OA) through automation of the procedure, and with the treatment. The earlier treatments and risk reduction measures are less costly than the\nprocedures involved due to a more advanced stage of the disease (surgery, implants, etc.).\nFirst, a motivation for the detection of early osteoarthritis (OA) is given. Second, a detailed description and mathematical background of the algorithms are presented and validated on sample, artificial data. Third, the employed data sets used for classification tests are introduced. Fourth, the statistical methods and neural network models employed are presented and discussed. Fifth, the features produced by each algorithm are discussed and their independent and combined capacity of discriminating between bones with early signs of OA and healthy bones. Also the capacity of tracking OA progression\nthrough the years is quantified by statistical tests. Also in this part we present the best classification scores obtained from the most optimal neural networks for each use case. Finally, thoughts on future improvements and the generalization of the algorithms in other anatomical contexts, for other diseases or in other fields, like histology and\nmammography, are made.\nIn this work we show that the state-of-the-art in OA prediction can be surpassed by\nutilizing only models based on texture features alone. Our gender-stratified analysis produces a prediction score of 83% for males and 81% for females in terms of Area Under the Receiver Operating Characteristic Curve (ROC-AUC).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 244,
            "image_height": 240,
            "name": "Oancea_2018_1-image.JPG",
            "type": "image/jpeg",
            "size": 25341,
            "path": "Publication:Oancea_2018_1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1361
        ],
        "date_end": "2018-06-27",
        "date_start": "2018-01-03",
        "matrikelnr": "01227706",
        "open_access": "yes",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 244,
                "image_height": 240,
                "name": "Oancea_2018_1-image.JPG",
                "type": "image/jpeg",
                "size": 25341,
                "path": "Publication:Oancea_2018_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "Oancea_2018_1-Master thesis.pdf",
                "type": "application/pdf",
                "size": 9691116,
                "path": "Publication:Oancea_2018_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Oancea_2018_1-poster.pdf",
                "type": "application/pdf",
                "size": 1104405,
                "path": "Publication:Oancea_2018_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/Oancea_2018_1-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea_2018_1/",
        "__class": "Publication"
    },
    {
        "id": "schwaerzler_2018_phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/7290",
        "title": "Advances in the Multimodal 3D Reconstruction and Modeling of Buildings",
        "date": "2018-06-27",
        "abstract": "Driven by the need for faster and more efficient workflows in the digitization of urban environments, the availability of affordable 3D data-acquisition systems for buildings has drastically increased in the last years: Laser scanners and  photogrammetric methods both produce millions of 3D points within minutes of acquisition time. They are applied both\non street-level as well as from above using drones, and are used to enhance traditional\ntachymetric measurements in surveying. However, these 3D data points are not the only available information: Extracted meta data from images, simulation results (e.g., from light simulations), 2D floor plans, and semantic tags – especially from the upcoming Building Information Modeling (BIM) systems – are becoming increasingly important.\nThe challenges this multimodality poses during the reconstruction of CAD-ready 3D\nbuildings are manifold: Apart from handling the enormous size of the data that is\ncollected during the acquisition steps, the different data sources must also be registered to each other in order to be applicable in a common context – which can be difficult in case of missing or erroneous information. Nevertheless, the potential for improving both\nthe workflow efficiency as well as the quality of the reconstruction results is huge: Missing information can be substituted by data from other sources, information about spatial or semantic relations can be utilized to overcome limitations, and interactive modeling\ncomplexity can be reduced (e.g., by limiting interactions to a two-dimensional space).\nIn this thesis, four publications are presented which aim at providing freely combinable “building blocks” for the creation of helpful methods and tools for advancing the field of Multimodal Urban Reconstruction. First, efficient methods for the calculation of shadows cast by area light sources are presented – one with a focus on the most efficient generation of physically accurate penumbras, and the other one with the goal of reusing\nsoft shadow information in consecutive frames to avoid costly recalculations. Then, a novel, optimization-supported reconstruction and modeling tool is presented, which employs sketch-based interactions and snapping techniques to create water-tight 3D building models. An extension to this system is demonstrated consecutively: There, 2D photos act as the only interaction canvas for the simple, sketch-based creation of building geometry and the corresponding textures. Together, these methods form a solid foundation for the creation of common, multimodal environments targeted at the reconstruction of 3D building models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 248,
            "image_height": 232,
            "name": "schwaerzler_2018_phd-image.PNG",
            "type": "image/png",
            "size": 61239,
            "path": "Publication:schwaerzler_2018_phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678
        ],
        "date_end": "2018",
        "date_start": "2010",
        "open_access": "yes",
        "reviewer_1": [
            823
        ],
        "reviewer_2": [
            378
        ],
        "rigorosum": "2018-10-23",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 248,
                "image_height": 232,
                "name": "schwaerzler_2018_phd-image.PNG",
                "type": "image/png",
                "size": 61239,
                "path": "Publication:schwaerzler_2018_phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD-Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schwaerzler_2018_phd-PhD-Thesis.pdf",
                "type": "application/pdf",
                "size": 7485949,
                "path": "Publication:schwaerzler_2018_phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/schwaerzler_2018_phd-PhD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/schwaerzler_2018_phd/",
        "__class": "Publication"
    },
    {
        "id": "Miao2018FDN",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Preview to Adenita: Visualization and Modeling of DNA Nanostructures",
        "date": "2018-06-08",
        "abstract": "We present Adenita, an open-source software that aims to provide an integrated in silico\ndesign toolkit for DNA Nanostructures. It facilitates the modular assembly of pre-existing\nand de novo designs, regardless of the used approach. Adenita is being developed in the\ncontext of the MARA project [1], a highly ambitious project aiming to produce a DNA\nnanorobot capable of targeted cell lyses. Currently, the existing design and visualization\ntools are insufficient to solve the specific challenges in our project. We aim to overcome\nthese limitations with Adenita, a new semi-automated approach that we are developing as\nthe MARA project advances. Adenita integrates visualizations [2] with user interactions and\nalgorithms in a semi-manual approach. At the core, we use a hierarchical data model that\nenables us to combine both a top-down (DAEDALUS [3]) and a bottom-up (caDNAno [4])\ndesign approach of the DNA Nanostructure. From the DNA data model, we create smooth\nvisualizations that depict the structure in multiple scales from its atomic details to a highlevel\ngeometric representation of the target shape. In addition, we employ different layouts\nfor the same structure [5]: 3D structural representations, 2D caDNAno-style diagrams, and\n1D display of the linear sequences. Creators enable the parametrized generation of\nstructural motifs, while Manipulators facilitate the advanced modifications of the structural\nproperties, such as connecting components and adding bridging strands. Analysis of the\ndesigns is still in a preliminary phase, but it already enables the straightforward estimation\nof distances and the melting temperatures [6] of binding regions. The first DNA\nnanostructures that we designed with the new tool are now under experimental evaluation.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 857,
            "image_height": 1242,
            "name": "Miao2018FDN-image.png",
            "type": "image/png",
            "size": 1074408,
            "path": "Publication:Miao2018FDN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1474,
            1263,
            960,
            166,
            171,
            1473
        ],
        "cfp": {
            "name": "fdn2018_abstracts.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "3495981",
            "orig_name": "fdn2018_abstracts.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-06-06",
        "date_to": "2018-06-08",
        "event": "3rd Functional DNA Nanotechnology Workshop",
        "location": "Rome",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 857,
                "image_height": 1242,
                "name": "Miao2018FDN-image.png",
                "type": "image/png",
                "size": 1074408,
                "path": "Publication:Miao2018FDN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 857,
                "preview_image_height": 1242,
                "name": "Miao2018FDN-Poster.pdf",
                "type": "application/pdf",
                "size": 2534428,
                "path": "Publication:Miao2018FDN",
                "preview_name": "Miao2018FDN-Poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 1074408,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/Miao2018FDN-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Miao2018FDN/",
        "__class": "Publication"
    },
    {
        "id": "mazurek-2018-veq",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Expanded Query Results",
        "date": "2018-06",
        "abstract": "When performing queries in web search engines, users often face difficulties choosing appropriate query terms. Search engines\ntherefore usually suggest a list of expanded versions of the user query to disambiguate it or to resolve potential term mismatches.\nHowever, it has been shown that users find it difficult to choose an expanded query from such a list. In this paper, we describe\nthe adoption of set-based text visualization techniques to visualize how query expansions enrich the result space of a given\nuser query and how the result sets relate to each other. Our system uses a linguistic approach to expand queries and topic\nmodeling to extract the most informative terms from the results of these queries. In a user study, we compare a common text list\nof query expansion suggestions to three set-based text visualization techniques adopted for visualizing expanded query results\n– namely, Compact Euler Diagrams, Parallel Tag Clouds, and a List View – to resolve ambiguous queries using interactive\nquery expansion. Our results show that text visualization techniques do not increase retrieval efficiency, precision, or recall.\nOverall, users rate Parallel Tag Clouds visualizing key terms of the expanded query space lowest. Based on the results, we derive\nrecommendations for visualizations of query expansion results, text visualization techniques in general, and discuss alternative\nuse cases of set-based text visualization techniques in the context of web search.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Density-based compact Euler Diagram",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 919,
            "image_height": 656,
            "name": "mazurek-2018-veq-teaser.png",
            "type": "image/png",
            "size": 34882,
            "path": "Publication:mazurek-2018-veq",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1364,
            1110
        ],
        "cfp": {
            "name": "EuroVis 2018 CfP.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "55844",
            "orig_name": "EuroVis 2018 CfP.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-06-04",
        "date_to": "2018-06-08",
        "event": "EG / VGTC Conference on Visualization (EuroVis)",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1364
        ],
        "location": "Brno, Czech Republic",
        "pages_from": "87",
        "pages_to": "98",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "Information visualization",
            "search interfaces",
            "empirical studies in visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazurek-2018-veq-paper.pdf",
                "type": "application/pdf",
                "size": 1891501,
                "path": "Publication:mazurek-2018-veq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-paper:thumb{{size}}.png"
            },
            {
                "description": "Density-based compact Euler Diagram",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 919,
                "image_height": 656,
                "name": "mazurek-2018-veq-teaser.png",
                "type": "image/png",
                "size": 34882,
                "path": "Publication:mazurek-2018-veq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazurek-2018-veq-video.mp4",
                "type": "video/mp4",
                "size": 30231176,
                "path": "Publication:mazurek-2018-veq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/mazurek-2018-veq-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazurek-2018-veq/",
        "__class": "Publication"
    },
    {
        "id": "miao2018Dimsum",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "DimSUM: Dimension and Scale Unifying Maps for Visual Abstraction of DNA Origami Structures",
        "date": "2018-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3302,
            "image_height": 1884,
            "name": "miao2018Dimsum-Image.png",
            "type": "image/png",
            "size": 2858278,
            "path": "Publication:miao2018Dimsum",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            1474,
            960,
            166,
            1473,
            171
        ],
        "date_from": "2017-06",
        "date_to": "2018-06",
        "event": "EuroVis Conference 2018",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1263
        ],
        "location": "Brno, Czech Republic",
        "number": "3",
        "volume": "37",
        "research_areas": [
            "BioVis",
            "IllVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3302,
                "image_height": 1884,
                "name": "miao2018Dimsum-Image.png",
                "type": "image/png",
                "size": 2858278,
                "path": "Publication:miao2018Dimsum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 3302,
                "preview_image_height": 1884,
                "name": "miao2018Dimsum-Paper.pdf",
                "type": "application/pdf",
                "size": 50814642,
                "path": "Publication:miao2018Dimsum",
                "preview_name": "miao2018Dimsum-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 2858278,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Recording",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "miao2018Dimsum-Recording.mp4",
                "type": "video/mp4",
                "size": 236260449,
                "path": "Publication:miao2018Dimsum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Recording:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 3302,
                "preview_image_height": 1884,
                "name": "miao2018Dimsum-Video.mp4",
                "type": "video/mp4",
                "size": 97832153,
                "path": "Publication:miao2018Dimsum",
                "preview_name": "miao2018Dimsum-Video:preview.png",
                "preview_type": "image/png",
                "preview_size": 2858278,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/miao2018Dimsum-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao2018Dimsum/",
        "__class": "Publication"
    },
    {
        "id": "GANTNER-2018-ARO",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "AR Overlays for Leica VIS with Vulkan",
        "date": "2018-06",
        "abstract": "Using the existing Visual Inertial System (VIS) for pose estimation, BIM (Building Information\nManagement) information is displayed using Augmented Reality technology. Specific usecases,\nfor example, stakeout or CAD previews are implemented to demonstrate the\nadvantages of such overlays.\nThe focus of the implementation is on creating a correct representation of the physical camera\nin the virtual scene and render objects on top of the incoming video stream of the device. For a\ngood AR experience the objects should be distorted according to the camera’s distortion\nmodel and be occluded correctly with the environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1142,
            "image_height": 899,
            "name": "GANTNER-2018-ARO-image.jpg",
            "type": "image/jpeg",
            "size": 229568,
            "path": "Publication:GANTNER-2018-ARO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1637
        ],
        "date_end": "2018-10-29",
        "date_start": "2018-06-13",
        "matrikelnr": "1576033",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "description",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GANTNER-2018-ARO-description.pdf",
                "type": "application/pdf",
                "size": 888137,
                "path": "Publication:GANTNER-2018-ARO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-description:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1142,
                "image_height": 899,
                "name": "GANTNER-2018-ARO-image.jpg",
                "type": "image/jpeg",
                "size": 229568,
                "path": "Publication:GANTNER-2018-ARO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/GANTNER-2018-ARO-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/GANTNER-2018-ARO/",
        "__class": "Publication"
    },
    {
        "id": "Raidou_2018_1",
        "type_id": "gallery_image",
        "tu_id": null,
        "repositum_id": null,
        "title": "Raidou_paper_EuroVis2018",
        "date": "2018-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1719,
            "image_height": 1225,
            "name": "Raidou_2018_1-.png",
            "type": "image/png",
            "size": 561205,
            "path": "Publication:Raidou_2018_1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_1/Raidou_2018_1-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_1/Raidou_2018_1-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1719,
                "image_height": 1225,
                "name": "Raidou_2018_1-.png",
                "type": "image/png",
                "size": 561205,
                "path": "Publication:Raidou_2018_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_1/Raidou_2018_1-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_1/Raidou_2018_1-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_1/",
        "__class": "Publication"
    },
    {
        "id": "Raidou_2018_2",
        "type_id": "gallery_image",
        "tu_id": null,
        "repositum_id": null,
        "title": "EuroVis Best PhD Award 2018 ",
        "date": "2018-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1225,
            "image_height": 1719,
            "name": "Raidou_2018_2-.png",
            "type": "image/png",
            "size": 590905,
            "path": "Publication:Raidou_2018_2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_2/Raidou_2018_2-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_2/Raidou_2018_2-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1225,
                "image_height": 1719,
                "name": "Raidou_2018_2-.png",
                "type": "image/png",
                "size": 590905,
                "path": "Publication:Raidou_2018_2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_2/Raidou_2018_2-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_2/Raidou_2018_2-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Raidou_2018_2/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-metabo",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Visual Comparison of Hand-Drawn and Machine-Generated Human Metabolic Pathways",
        "date": "2018-06",
        "abstract": "This poster abstract presents a visual comparison between three hand-drawn and one machine-generated human metabolic pathway diagrams. The human metabolic pathways, which describe significant biochemical reactions in the human body, have been increasingly investigated due to the development of analysis processes and are compiled into pathway diagrams to provide an overview of reaction in the human body. This complex network includes about 5,000 metabolites and 7,500 reactions, which are hierarchically nested and difficult to visualize. We collect and analyze well-known human metabolic pathway diagrams, and summarize the design choices of these diagrams, respectively. Together with a machine-generated diagram, we can understand the visual complexity of three hand-drawn and one machine-generated diagrams.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 566,
            "image_height": 800,
            "name": "wu-2018-metabo-image.png",
            "type": "image/png",
            "size": 677575,
            "path": "Publication:wu-2018-metabo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            171
        ],
        "cfp": {
            "name": "eurovis2018-poster.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "35735",
            "orig_name": "eurovis2018-poster.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-06-04",
        "date_to": "2018-06-08",
        "event": "EuroVis",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 566,
                "image_height": 800,
                "name": "wu-2018-metabo-image.png",
                "type": "image/png",
                "size": 677575,
                "path": "Publication:wu-2018-metabo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2018-metabo-poster.pdf",
                "type": "application/pdf",
                "size": 85587001,
                "path": "Publication:wu-2018-metabo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/wu-2018-metabo-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-metabo/",
        "__class": "Publication"
    },
    {
        "id": "steinboeck-2017-vbn",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Exploration Interface for Large Bipartite Networks",
        "date": "2018-05-30",
        "abstract": "In this thesis we introduce BiCFlows, a novel interactive visualization approach to explore large bipartite graphs. We were motivated by the Media Transparency Database, a public database established by the Austrian government to provide information about governmental advertising and subsidies expenses, which holds the characteristics of a large, weighted bipartite graph.\nCurrent approaches that deal with the visualization of the Media Transparency Database are limited by the fact that they do not offer a sufficient overview of the whole dataset. Other existing approaches that are not particularly designed for the Media Transparency Database, but deal with the visualization of bipartite graphs are in addition limited by their lack of scalability for large datasets.\nAggregation is an often used concept in reducing the amount of data by grouping together similar data objects. This only works if the appropriate object properties are present in the data to use them for the aggregation. If this additional information is missing, like in the Media Transparency Database, other aggregation techniques have to be used. Since we are dealing with bipartite graphs in our approach, we use the concept of biclustering to establish a hierarchical structure within the data that can be interactively explored by the user.\nWe showed that BiCFlows cannot only be used for the Media Transparency Database, but also for other datasets that share the characteristics of a weighted bipartite graph. Furthermore, we conducted an insight-based user study to compare BiCFlows with existing concepts and discussed advantages and drawbacks. We showed that BiCFlows supported users in their exploration process and let them gain more insight than with existing approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "sketch",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 649,
            "image_height": 462,
            "name": "steinboeck-2017-vbn-sketch.PNG",
            "type": "image/png",
            "size": 30764,
            "path": "Publication:steinboeck-2017-vbn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1378
        ],
        "date_end": "2018-05-30",
        "date_start": "2017-07",
        "matrikelnr": "0826088",
        "open_access": "yes",
        "supervisor": [
            166,
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "steinboeck-2017-vbn-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 14008127,
                "path": "Publication:steinboeck-2017-vbn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Master Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "steinboeck-2017-vbn-Poster.pdf",
                "type": "application/pdf",
                "size": 1309833,
                "path": "Publication:steinboeck-2017-vbn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "sketch",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 649,
                "image_height": 462,
                "name": "steinboeck-2017-vbn-sketch.PNG",
                "type": "image/png",
                "size": 30764,
                "path": "Publication:steinboeck-2017-vbn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/steinboeck-2017-vbn-sketch:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/steinboeck-2017-vbn/",
        "__class": "Publication"
    },
    {
        "id": "Karall2017CVAB",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients",
        "date": "2018-05-25",
        "abstract": "The most common cancer among the female population in the economically developed\nworld is breast cancer. To significantly reduce the mortality among affected women, an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease during and after treatment and to understand how different groups of patients respond to selected treatments. Currently this is a difficult task because of the multitude of involved (imaging and non-imaging) data, for which adequate\nvisualizations are required. The aim of this work is to help clinical researchers working on the analysis of the progress of chemotherapy to understand and explore the multitude of data they have.\nThis thesis introduces a web-based framework realizing three tasks of exploring and analyzing imaging and non-imaging data of breast cancer patients in a cohort. A functionality for single patient follow-up studies (intra-patient study), a functionality to compare two different patients (pairwise inter-patient study) and a functionality to compare groups of patients (groupwise inter-patient study) are provided to enable an easier exploration and analysis of the available multivariate cohort data. To begin with, the imaging and non-imaging data underwent some preprocessing steps, such as\nregistration, segmentation and calculation of tumor probability maps, to make them\ncomparable. Afterwards, we carefully designed and implemented several multiple linked views, where interactive representations show distinct aspects of the data from which the clinical researcher can understand and analyze the available cohort data. A number of use cases to demonstrate the results that can be achieved with the provided framework are\nperformed and they illustrate the functionality and also the importance of the designed and implemented visual analytics framework. Using this framework, clinical researchers are able to visually explore and analyze the multitude of both imaging and non-imaging data of a patient and compare patients within a cohort, which was not possible before with any available exploratory tools.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 465,
            "image_height": 179,
            "name": "Karall2017CVAB-image.JPG",
            "type": "image/jpeg",
            "size": 23788,
            "path": "Publication:Karall2017CVAB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1480
        ],
        "date_end": "2018-05-25",
        "date_start": "2017-08-01",
        "matrikelnr": "00625631",
        "supervisor": [
            1410,
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "comparative visual analytics",
            "breast cancer"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visual-analytics-breast-cancer-patients",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 465,
                "image_height": 179,
                "name": "Karall2017CVAB-image.JPG",
                "type": "image/jpeg",
                "size": 23788,
                "path": "Publication:Karall2017CVAB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Karall2017CVAB-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 20362428,
                "path": "Publication:Karall2017CVAB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/Karall2017CVAB-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2017CVAB/",
        "__class": "Publication"
    },
    {
        "id": "Karall2018_2",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visual Analytics in a Cohort of Breast Cancer Patients",
        "date": "2018-05-25",
        "abstract": "The most common cancer among the female population in the economically developed world is breast cancer. To signifcantly reduce the mortality among affected women an early diagnosis is essential, and also treatment strategies need to be selected carefully. Clinical researchers working on the selection of chemotherapy treatment need to analyze the progress of the disease\nduring and after treatment and to understand how diffent groups of patients respond to selected treatments. Currently this is a diffcult task because of the multitude of involved imaging and non-imaging) data, for which adequate visualizations are required. The aim of this work is to help clinical researchers, who are working on the analysis of the progress of chemotherapy, to understand and explore the multitude of data they have. To this end, the following three tasks were realized in a web-based framework:\n1. Functionality for single patient follow-up studies (intra-patient study)\n2. Functionality to compare two different patients (pairwise inter-patient study)\n3. Functionality to compare groups of patients (groupwise inter-patient study)\nIn the examples below, we demonstrate only the latter, as it can be considered an overset of the other two tasks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 458,
            "image_height": 438,
            "name": "Karall2018_2-image.JPG",
            "type": "image/jpeg",
            "size": 49900,
            "path": "Publication:Karall2018_2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1480
        ],
        "date_from": "2018-06-18",
        "date_to": "2018-06-18",
        "event": "EPILOG ",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 458,
                "image_height": 438,
                "name": "Karall2018_2-image.JPG",
                "type": "image/jpeg",
                "size": 49900,
                "path": "Publication:Karall2018_2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Karall2018_2-Poster.pdf",
                "type": "application/pdf",
                "size": 3168095,
                "path": "Publication:Karall2018_2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/Karall2018_2-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Karall2018_2/",
        "__class": "Publication"
    },
    {
        "id": "Tramberger_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Breast Lesion Evaluation for Comparative Studies",
        "date": "2018-05-18",
        "abstract": "Breast cancer is the most common cancer with a high mortality rate. Neoadjuvant\nchemotherapie is conducted before surgery to reduce the breast tumor mass. Currently,\na lot of trials are taking place, with the purpose of understanding the effects of different chemotherapy strategies. In this work a software is developed to analyse and compare the influence of these treatments. The study data is available as 4D Dynamic Contrast-Enhanced Magnetic Resonance Imaging data. To reduce the time of manual segmentation and the connection of segmented lesions over time a automatic procedure was implemented. This process uses the time-signal intensity curve and a support vector machine to classify\nlesions with calculated morphological features. To analyse the data, two views are available. The Intra-patient view visualizes the tumor behaviour of an individual patient over time. With the Multi-patient view the user is able to compare multiple patients’ lesions and additional added patient data. Both views are implemented with JavaScript and can be expanded easily. Because of missing ground truth an evaluation of the automatic segmentation method was not possible.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 481,
            "image_height": 259,
            "name": "Tramberger_2018-image.JPG",
            "type": "image/jpeg",
            "size": 29680,
            "path": "Publication:Tramberger_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1481
        ],
        "date_end": "2018-05-08",
        "date_start": "2017-12-01",
        "matrikelnr": "01326870",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Tramberger_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 2104529,
                "path": "Publication:Tramberger_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 481,
                "image_height": 259,
                "name": "Tramberger_2018-image.JPG",
                "type": "image/jpeg",
                "size": 29680,
                "path": "Publication:Tramberger_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/Tramberger_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger_2018/",
        "__class": "Publication"
    },
    {
        "id": "gusenbauer-2018",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bitstream - A bottom-up/top-down hybrid approach for web-based visual analysis of big data",
        "date": "2018-05-14",
        "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions. To do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately\nwithout a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 237,
            "image_height": 113,
            "name": "gusenbauer-2018-image.JPG",
            "type": "image/jpeg",
            "size": 11712,
            "path": "Publication:gusenbauer-2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1257
        ],
        "date_end": "2018-05-14",
        "date_start": "2016-11",
        "matrikelnr": "1125577",
        "supervisor": [
            1110,
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 237,
                "image_height": 113,
                "name": "gusenbauer-2018-image.JPG",
                "type": "image/jpeg",
                "size": 11712,
                "path": "Publication:gusenbauer-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "gusenbauer-2018-Master thesis.pdf",
                "type": "application/pdf",
                "size": 12125980,
                "path": "Publication:gusenbauer-2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/gusenbauer-2018-Master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018/",
        "__class": "Publication"
    },
    {
        "id": "gusenbauer-2018-P",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bitstream - Top-Down/Bottom-Up Data Processing for Interactive Bitcoin Visualization.",
        "date": "2018-05-14",
        "abstract": "Analyzing large amounts of data is becoming an ever increasing problem. Bitcoin as an\nexample has produced more data than is possible to analyze. In order to compensate for these difficulties, creative ideas that employ data aggregation or minimization have been proposed. Other work also focuses on introducing novel visualization types that are geared towards the visualization of blockchain data. However, visualization of graphs through node-link diagrams remains a difficult challenge. Analysis of the Bitcoin transaction graph to follow bitcoin (BTC) transactions (TXs) poses a difficult problem due to the Bitcoin\nprotocol and the amount of data. This thesis combines two data processing strategies to visualize big network data on commodity hardware. The idea is to use visualization as a technique to analyze a data-set containing Bitcoin transaction information. Criminals use Bitcoin as a means of payment because of its guaranteed pseudonymity. Through visualization we aim to identify patterns that will allow us to deanonymize transactions.\nTo do so we use a proxy server that does data preprocessing before they are visualized on a web client. The proxy leverages parallel computing to be able to do top-down and bottom-up data processing fast enough for interactive visualization. This is done through incremental loading (bottom-up), which enables to visualize data immediately without a (pre-)processing delay. The database containing the public Bitcoin ledger is over 163 gigabytes in size. The resulting graph has more than 800 million nodes. As this information is too much to be visualized, we also employ a top-down approach of data aggregation and graph minimization of the transactional graph. Through this methodology we intend to solve performance problems of long processing delays and the problem of fractured data where the data is shown only partially in the visualization.\nWe collaborate with security experts who share insights into their expertise through a continuously ongoing dialog. Exploratory analysis on a big data-set such as the Bitcoin ledger, enabled through the methodology presented in this thesis, will help security experts to analyze the money flow in a financial network that is used by criminals for its anonymity. We evaluate the result through the performance and feedback of these security experts as well as benchmark the performance against current best practice approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 279,
            "image_height": 149,
            "name": "gusenbauer-2018-P-image.JPG",
            "type": "image/jpeg",
            "size": 18488,
            "path": "Publication:gusenbauer-2018-P",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1257
        ],
        "date_from": "2018-06-18",
        "date_to": "2018-06-18",
        "event": "EPILOG",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 279,
                "image_height": 149,
                "name": "gusenbauer-2018-P-image.JPG",
                "type": "image/jpeg",
                "size": 18488,
                "path": "Publication:gusenbauer-2018-P",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "gusenbauer-2018-P-Poster.pdf",
                "type": "application/pdf",
                "size": 707107,
                "path": "Publication:gusenbauer-2018-P",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/gusenbauer-2018-P-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gusenbauer-2018-P/",
        "__class": "Publication"
    },
    {
        "id": "mazza-2012-bakk",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimized Sorting for Out-of-Core Surface Reconstruction",
        "date": "2018-05-04",
        "abstract": "In recent years the amount of acquisition methods for point clouds has been increasing consequently and it is getting more and more interesting for society. Even if it is possible to render point clouds directly, nowadays there exist many more algorithms which deal with triangle meshes than point clouds. For example 3D printer software requires watertight meshes as input. This makes automatic conversion of point sets to triangle meshes an important research topic. The aim of this Bachelor Thesis was to implement a plugin for Scanopy (a point cloud editing and rendering program) which can convert point clouds with hundreds of millions of samples in such a detailed degree that the data exceeds common main memory sizes. Therefore, an out-of-core algorithm was needed. The used out-of-core Poisson surface reconstruction approach requires the sorting of the input point samples in a preprocessing step. In this Bachelor Thesis it is shown that the sorting of the data with an optimized multithreaded merge sort algorithm can improve the total required time for the reconstruction process significantly. Further, this work indicates a problem which occurs while reconstructing meshes with a Poisson based reconstruction approach from scans of an open terrain. The problem leads to large unnecessary triangles which hide the reconstructed surface. A very basic solution approach for this problem is also stated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 758,
            "image_height": 836,
            "name": "mazza-2012-bakk-image.png",
            "type": "image/png",
            "size": 63835,
            "path": "Publication:mazza-2012-bakk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1035
        ],
        "date_end": "2018-05-04",
        "date_start": "2012-10-01",
        "matrikelnr": "0825828",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "surface reconstruction",
            "out-of-core",
            "point processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 758,
                "image_height": 836,
                "name": "mazza-2012-bakk-image.png",
                "type": "image/png",
                "size": 63835,
                "path": "Publication:mazza-2012-bakk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazza-2012-bakk-thesis.pdf",
                "type": "application/pdf",
                "size": 8761718,
                "path": "Publication:mazza-2012-bakk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/mazza-2012-bakk-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/mazza-2012-bakk/",
        "__class": "Publication"
    },
    {
        "id": "Schernthaner-2017-MCP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multipath Curved Planar Reformations of Peripheral CT Angiography: Diagnostic Accuracy and Time Efficiency",
        "date": "2018-05-01",
        "abstract": "Objectives To compare diagnostic performance and time\nefficiency between 3D multipath curved planar reformations\n(mpCPRs) and axial images of CT angiography for\nthe pre-interventional assessment of peripheral arterial\ndisease (PAD), with digital subtraction angiography as the\nstandard of reference.\nMethods Forty patients (10 females, mean age 72 years),\nreferred to CTA prior to endovascular treatment of PAD,\nwere prospectively included and underwent peripheral CT\nangiography. A semiautomated toolbox was used to render\nmpCPRs. Twenty-one arterial segments were defined in\neach leg; for each segment, the presence of stenosis[70%\nwas assessed on mpCPRs and axial images by two readers,\nindependently, with digital subtraction angiography as gold\nstandard.\nResults Both readers reached lower sensitivity (Reader 1:\n91 vs. 94%, p = 0.08; Reader 2: 89 vs. 93%, p = 0.03) but\nsignificantly higher specificity (Reader 1: 94 vs. 89%,\np\\0.01; Reader 2: 96 vs. 95%, p = 0.01) with mpCPRs\nthan with axial images. Reader 1 achieved significantly\nhigher accuracy with mpCPRs (93 vs. 91%, p = 0.02), and Reader 2 had similar overall accuracy in both evaluations\n(94 vs. 94%, p = 0.96). Both readers read mpCPRs significantly\nfaster than axial images (Reader 1: 504500 based\non mpCPRs vs. 704000 based on axial images; Reader 2:\n404100 based on mpCPRs vs. 605700 based on axial images;\np\\0.01).\nConclusions mpCPRs are a promising 3D reformation\ntechnique that facilitates a fast assessment of PAD with\nhigh diagnostic accuracy.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1531,
            1532,
            1533,
            1288,
            869,
            166,
            1289,
            1047
        ],
        "doi": "10.1007/s00270-017-1846-3",
        "issn": "0174-1551",
        "journal": "CardioVascular and Interventional Radiology",
        "number": "5",
        "pages_from": "718",
        "pages_to": "725",
        "volume": "41",
        "research_areas": [],
        "keywords": [
            "PAD",
            "CTA",
            "3D reformation",
            "mpCPRs"
        ],
        "weblinks": [
            {
                "href": "https://link.springer.com/article/10.1007%2Fs00270-017-1846-3",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Schernthaner-2017-MCP/",
        "__class": "Publication"
    },
    {
        "id": "birsak-2017-dpe",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Path Exploration on Mobile Devices",
        "date": "2018-05",
        "abstract": "We present a novel framework for visualizing routes on mobile devices. Our framework is suitable for helping users explore their environment.\nFirst, given a starting point and a maximum route length, the system retrieves nearby points of interest (POIs). Second, we automatically compute an attractive walking path through the environment trying to pass by as many highly ranked POIs as possible. Third, we automatically compute a route visualization that shows the current user position, POI locations via pins, and detail lenses for more information about the POIs. The visualization is an animation of an orthographic map view that follows the current user position. We propose an optimization based on a binary integer program (BIP) that models multiple requirements for an effective placement of detail lenses. We show that our path computation method outperforms recently proposed methods and we evaluate the overall impact of our framework in two user studies.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2002,
            "image_height": 1246,
            "name": "birsak-2017-dpe-thumbnail.png",
            "type": "image/png",
            "size": 1540567,
            "path": "Publication:birsak-2017-dpe",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            844,
            194,
            193
        ],
        "doi": "10.1109/TVCG.2017.2690294",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "5",
        "pages_from": "1784",
        "pages_to": "1798",
        "protocol": "null",
        "volume": "24",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "overview image",
                "filetitle": "overview",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2229,
                "image_height": 2762,
                "name": "birsak-2017-dpe-overview.png",
                "type": "image/png",
                "size": 3708886,
                "path": "Publication:birsak-2017-dpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-overview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2017-dpe-preprint.pdf",
                "type": "application/pdf",
                "size": 39449554,
                "path": "Publication:birsak-2017-dpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementary",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2017-dpe-supplementary.pdf",
                "type": "application/pdf",
                "size": 26746193,
                "path": "Publication:birsak-2017-dpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-supplementary:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2002,
                "image_height": 1246,
                "name": "birsak-2017-dpe-thumbnail.png",
                "type": "image/png",
                "size": 1540567,
                "path": "Publication:birsak-2017-dpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-thumbnail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2017-dpe-video.mp4",
                "type": "video/mp4",
                "size": 45077025,
                "path": "Publication:birsak-2017-dpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/birsak-2017-dpe-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide",
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/birsak-2017-dpe/",
        "__class": "Publication"
    },
    {
        "id": "VASILJEVS-2018-PMPL",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Modelling of Park Layouts",
        "date": "2018-05",
        "abstract": "Procedural Modelling in Computer Graphics automates content generation, where commonly\nmanual methods have been employed, as in using modelling applications like Maya.\nGrammar-based methods allow to describe creation of objects at a higher level, encoding\ndesign decisions in rule files and enabling generation of infinite variations by just altering\nthe parameters. Methods for the synthesis of landscapes, street networks, buildings,\nand vegetation have been described. In the context of the city generation, CityEngine\ncombines some such techniques into a commercial solution that can be used to generate\nthe whole city at once.\nIn the context of park synthesis, the process is divided into layout generation and placement\nof objects in it. Typically, a park layout is either created manually and inserted into\nthe reserved area, or a shape grammar designed for building synthesis is employed. In the\nfirst case, a change to the design or the surrounding regions could result in considerable\nmodifications required of the user. At the present moment, generation of parks and green\nspaces in a city is rather limited and mainly focused on vegetation placement.\nThe aim of our work was to design a method for park layout synthesis, which when\ncombined with basic placement methods could be used to create believable park models.\nBased on the observation of real-life parks and 3D models of parks, we have derived a\nnumber of patterns, which have been translated into the rules of our novel shape grammar.\nIn particular, we introduce a rule for creating curved regions, which, to our knowledge,\nhas not been addressed yet at this level in grammar-based methods. We also introduce a\nnovel way to index arbitrary subset of the boundary and provide an additional insetting\noperation based on that. In our work we have considered the context of CityEngine as a\npossible use case.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 360,
            "name": "VASILJEVS-2018-PMPL-image.jpg",
            "type": "image/jpeg",
            "size": 56641,
            "path": "Publication:VASILJEVS-2018-PMPL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1609
        ],
        "date_end": "2018-07-16",
        "date_start": "2016",
        "diploma_examina": "2018-07-16",
        "matrikelnr": "0727773",
        "open_access": "yes",
        "supervisor": [
            1303,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling",
            "park layouts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 360,
                "name": "VASILJEVS-2018-PMPL-image.jpg",
                "type": "image/jpeg",
                "size": 56641,
                "path": "Publication:VASILJEVS-2018-PMPL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "VASILJEVS-2018-PMPL-poster.pdf",
                "type": "application/pdf",
                "size": 5054949,
                "path": "Publication:VASILJEVS-2018-PMPL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "VASILJEVS-2018-PMPL-thesis.pdf",
                "type": "application/pdf",
                "size": 18212360,
                "path": "Publication:VASILJEVS-2018-PMPL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/VASILJEVS-2018-PMPL-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/VASILJEVS-2018-PMPL/",
        "__class": "Publication"
    },
    {
        "id": "Kathi-2018-VRB",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A VR-based user study on the effects of vision impairments on recognition distances of escape-route signs in buildings",
        "date": "2018-04-30",
        "abstract": "In workplaces or publicly accessible buildings, escape routes are signposted according to official norms or international standards that specify distances, angles and areas of interest for the positioning of escape-route signs. In homes for the elderly, in which the residents commonly have degraded mobility and suffer from vision impairments caused by age or eye diseases, the specifications of current norms and standards may be insufficient. Quantifying the effect of symptoms of vision impairments like reduced visual acuity on recognition distances is challenging, as it is cumbersome to find a large number of user study participants who suffer from exactly the same form of vision impairments. Hence, we propose a new methodology for such user studies: By conducting a user study in virtual reality (VR), we are able to use participants with normal or corrected sight and simulate vision impairments graphically. The use of standardized medical eyesight tests in VR allows us to calibrate the visual acuity of all our participants to the same level, taking their respective visual acuity into account. Since we primarily focus on homes for the elderly, we accounted for their often limited mobility by implementing a wheelchair simulation for our VR application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 327,
            "image_height": 327,
            "name": "Kathi-2018-VRB-image.JPG",
            "type": "image/jpeg",
            "size": 24451,
            "path": "Publication:Kathi-2018-VRB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1551,
            678,
            1492,
            193,
            1559
        ],
        "date_from": "2018-06-11",
        "date_to": "2018-06-14",
        "doi": "10.1007/s00371-018-1517-7",
        "event": "Computer Graphics International (CGI)",
        "issn": "0178-2789",
        "journal": "The Visual Computer",
        "lecturer": [
            1030
        ],
        "location": "Bintan, Indonesia",
        "number": "6-8",
        "open_access": "yes",
        "pages_from": "911",
        "pages_to": "923",
        "volume": "34",
        "research_areas": [
            "Perception",
            "Rendering",
            "VR"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://link.springer.com/article/10.1007%2Fs00371-018-1517-7",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 327,
                "image_height": 327,
                "name": "Kathi-2018-VRB-image.JPG",
                "type": "image/jpeg",
                "size": 24451,
                "path": "Publication:Kathi-2018-VRB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kathi-2018-VRB-Paper.pdf",
                "type": "application/pdf",
                "size": 1077352,
                "path": "Publication:Kathi-2018-VRB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/Kathi-2018-VRB-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Kathi-2018-VRB/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2018-EG",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Best Practice in Technology Transfer",
        "date": "2018-04-19",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "event": "Eurographics Industrial Presentations",
        "lecturer": [
            190
        ],
        "location": "Delft, NL",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-EG/",
        "__class": "Publication"
    },
    {
        "id": "Cai_2018",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Research on Graphical Interfaces to Perform Anatomical Queries on Large Collections of Gene Expression Images",
        "date": "2018-04-06",
        "abstract": "As image information is increasing sharply, searching and presenting interesting images\nin large databases have become more and more important in image management. In this\npaper, an optimizing graphical query interface was designed for anatomical search to present more valuable information from the large neuro-anatomical image collections of Drosophila (fruit fly) brains. In order to achieve the goal, the relevant websites of “Fly Circuit”, “Fly Light” and “Allen Mouse Brain Atlas”, and the image management software of PivotViewer and Zegami were investigated firstly. Then, analysis and comparison for\nthe mentioned tools using different perspectives were conducted to define the guidelines for best practices out of them. Based on the findings, several redesigns are proposed for neuro-anatomical query interfaces and part of them were implemented. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 506,
            "image_height": 278,
            "name": "Cai_2018-image.JPG",
            "type": "image/jpeg",
            "size": 38696,
            "path": "Publication:Cai_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1553
        ],
        "date_end": "2018-04-06",
        "date_start": "2017-10-06",
        "matrikelnr": "1425123",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Cai_2018-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 28622827,
                "path": "Publication:Cai_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 506,
                "image_height": 278,
                "name": "Cai_2018-image.JPG",
                "type": "image/jpeg",
                "size": 38696,
                "path": "Publication:Cai_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/Cai_2018-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Cai_2018/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2018-ved",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Data Exploration and Analysis in Emerging Display Environments ",
        "date": "2018-04-05",
        "abstract": "Increasingly powerful computing and display hardware open up entirely new ways for visual data exploration and analysis. Powerful machines and emerging display environments facilitate novel visual exploration techniques, collaborative data analysis, and even immersion into the scientific data. This talk will address the challenges we faced when bringing biomolecular visual analysis tools and complex molecular visualizations into such large, multi-user environments. A special focus lies on interfaces and attention guidance techniques we designed and evaluated to keep the user oriented and reduce visual clutter. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110
        ],
        "event": "Emerging Technologies in Scientific Data Visualisation - CECAM",
        "location": "Pisa, Italy",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.cecam.org/workshop-1586.html",
                "caption": "CECAM workshop",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/waldner-2018-ved/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-story",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Travel of a Metabolite",
        "date": "2018-04",
        "abstract": "Biological pathways are chains of molecule interactions and reactions in biological systems that jointly form complex, hierarchical networks. Although several pathway layout algorithms have been investigated, biologists still prefer to use hand-drawn ones, due to their high visual quality relied on domain knowledge. In this project, we propose a visualization for computing metabolic pathway maps that restrict the grouping structure defined by biologists to rectangles and apply orthogonal-style edge routing to simplify edge orientation. This idea is inspired by concepts from urban planning, where we consider reactions as city blocks and built up roads to connect identical metabolites occurred in multiple categories. We provide a story to present how glucose is broken down to phosphoenolpyruvate to release energy, which is often stored in adenosine triphosphate (ATP) in a human body. Finally, we demonstrate ATP is also utilized to synthesize urea to eliminate the toxic ammonia in our body.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2018-story-image.png",
            "type": "image/png",
            "size": 91891,
            "path": "Publication:wu-2018-story",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1579,
            171
        ],
        "note": "submitted to PacificVis 2018 Data Story Telling Contest",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vimeo.com/258174044",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2018-story-image.png",
                "type": "image/png",
                "size": 91891,
                "path": "Publication:wu-2018-story",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2018-story-paper.pdf",
                "type": "application/pdf",
                "size": 601059,
                "path": "Publication:wu-2018-story",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2018-story-video.mov",
                "type": "video/quicktime",
                "size": 15567398,
                "path": "Publication:wu-2018-story",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/wu-2018-story-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-story/",
        "__class": "Publication"
    },
    {
        "id": "Furmanova_2018",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "COZOID: contact zone identifier for visual analysis of protein-protein interactions",
        "date": "2018-04",
        "abstract": "Background: Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding thestructure and function of protein complexes. The exploration of the vast space of possible mutual configurations ofinteracting proteins and their contact zones is very time consuming and requires the proteomic expert knowledge.Results:In this paper, we propose a novel tool containing a set of visual abstraction techniques for the guidedexploration of PPI configuration space. It helps proteomic experts to select the most relevant configurations andexplore their contact zones at different levels of detail. The system integrates a set of methods that follow and supportthe workflow of proteomics experts. The first visual abstraction method, the Matrix view, is based on customizedinteractive heat maps and provides the users with an overview of all possible residue-residue contacts in all PPIconfigurations and their interactive filtering. In this step, the user can traverse all input PPI configurations and obtain anoverview of their interacting amino acids. Then, the models containing a particular pair of interacting amino acids canbe selectively picked and traversed. Detailed information on the individual amino acids in the contact zones and theirproperties is presented in the Contact-Zone list-view. The list-view provides a comparative tool to rank the best modelsbased on the similarity of their contacts to the template-structure contacts. All these techniques are interactivelylinked with other proposed methods, the Exploded view and the Open-Book view, which represent individualconfigurations in three-dimensional space. These representations solve the high overlap problem associated withmany configurations. Using these views, the structural alignment of the best models can also be visually confirmed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 223,
            "image_height": 172,
            "name": "Furmanova_2018-image.JPG",
            "type": "image/jpeg",
            "size": 15338,
            "path": "Publication:Furmanova_2018",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1733,
            1254,
            166,
            171,
            1734,
            1248
        ],
        "doi": " 10.1186/s12859-018-2113-6",
        "first_published": "2018-04",
        "journal": "BMC Bioinformatics",
        "number": "19:125 ",
        "open_access": "yes",
        "pages_from": "1",
        "pages_to": "25",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 223,
                "image_height": 172,
                "name": "Furmanova_2018-image.JPG",
                "type": "image/jpeg",
                "size": 15338,
                "path": "Publication:Furmanova_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Furmanova_2018-Paper.pdf",
                "type": "application/pdf",
                "size": 5104732,
                "path": "Publication:Furmanova_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/Furmanova_2018-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Furmanova_2018/",
        "__class": "Publication"
    },
    {
        "id": "PB-VRVis-2018-005",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Automated Verification Workflow for Planned Lighting Setups using BIM",
        "date": "2018-04",
        "abstract": "The use of Building Information Modeling (BIM) methods is becoming more\nand more established in the planning stage, during the construction, and\nfor the management of buildings. Tailored BIM software packages allow to\nhandle a vast amount of relevant aspects, but have so far not been\ncovering specialized tasks like the evaluation of light distributions in\nand around a 3D model of a building. To overcome this limitation, we\ndemonstrate the use of the open-source IFC format for preparing and\nexchanging BIM data to be used in our interactive light simulation\nsystem. By exploiting the availability of 3D data and semantic\ndescriptions, it is possible to automatically place measurement surfaces\nin the 3D scene, and evaluate the suitability and sustainability of a\nplanned lighting design according to given constraints and industry\nnorms. Interactive visualizations for fast analysis of the simulation\nresults, created using state-of-the-art web technologies, are seamlessly\nintegrated in the 3D work environment, helping the lighting designer to\nquickly improve the initial lighting solution with a few clicks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 448,
            "image_height": 309,
            "name": "PB-VRVis-2018-005-image.png",
            "type": "image/png",
            "size": 116117,
            "path": "Publication:PB-VRVis-2018-005",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1494,
            1030,
            659,
            1612,
            1613,
            678
        ],
        "booktitle": "REAL CORP 2018, Proceedings",
        "editor": "M. Schrenk and V. V. Popovich and P. Zeile and P. Elisei and C. Beyerand G. Navratil",
        "event": "REAL CORP 2018",
        "isbn": "978-3-9504173-5-7",
        "lecturer": [
            1030
        ],
        "pages": "55–65",
        "pages_from": "55",
        "pages_to": "65",
        "series": "REAL CORP",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 448,
                "image_height": 309,
                "name": "PB-VRVis-2018-005-image.png",
                "type": "image/png",
                "size": 116117,
                "path": "Publication:PB-VRVis-2018-005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PB-VRVis-2018-005-paper.pdf",
                "type": "application/pdf",
                "size": 2452259,
                "path": "Publication:PB-VRVis-2018-005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/PB-VRVis-2018-005-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/PB-VRVis-2018-005/",
        "__class": "Publication"
    },
    {
        "id": "An-2018-CHI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Thermorph: Democratizing 4D Printing of Self-Folding Materials and Interfaces",
        "date": "2018-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "An-2018-CHI-image.png",
            "type": "image/png",
            "size": 30709,
            "path": "Publication:An-2018-CHI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1582,
            1583,
            1584,
            1585,
            1586,
            1587,
            1588,
            1589,
            1580,
            1464,
            1590,
            1591
        ],
        "booktitle": "CHI 2018",
        "event": "CHI 2018",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "An-2018-CHI-image.png",
                "type": "image/png",
                "size": 30709,
                "path": "Publication:An-2018-CHI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/An-2018-CHI-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/An-2018-CHI/",
        "__class": "Publication"
    },
    {
        "id": "Birsak2018-SA",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "String Art: Towards Computational Fabrication of String Images",
        "date": "2018-04",
        "abstract": "In this paper we propose a novel method for the automatic computation and digital fabrication of artistic string images. String\nart is a technique used by artists for the creation of abstracted images which are composed of straight lines of strings ten-\nsioned between pins distributed on a frame. Together the strings fuse to a perceptible image. Traditionally, artists craft such\nimages manually in a highly sophisticated and tedious design process. To achieve this goal fully automatically we propose a\ncomputational setup driven by a discrete optimization algorithm which takes an ordinary picture as input and converts it into\na connected graph of strings that tries to reassemble the input image best possibly. Furthermore, we propose a hardware setup\nfor automatic digital fabrication of these images using an industrial robot that spans the strings. Finally, we demonstrate the\napplicability of our approach by generating and fabricating a set of real string art images.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 836,
            "image_height": 411,
            "name": "Birsak2018-SA-image.png",
            "type": "image/png",
            "size": 437058,
            "path": "Publication:Birsak2018-SA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            1063,
            194,
            844
        ],
        "date_from": "2018-04-16",
        "date_to": "2018-04-20",
        "doi": "10.1111/cgf.13359",
        "event": "EUROGRAPHICS 2018",
        "journal": "Computer Graphics Forum (Proc. EUROGRAPHICS 2018)",
        "lecturer": [
            836
        ],
        "location": "Delft, The Netherlands",
        "number": "2",
        "open_access": "yes",
        "pages": "accepted",
        "pages_from": "263",
        "pages_to": "274",
        "volume": "37",
        "research_areas": [
            "Fabrication",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/Exception1984/StringArt",
                "caption": "Source Code",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 836,
                "image_height": 411,
                "name": "Birsak2018-SA-image.png",
                "type": "image/png",
                "size": 437058,
                "path": "Publication:Birsak2018-SA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birsak2018-SA-preprint.pdf",
                "type": "application/pdf",
                "size": 11581681,
                "path": "Publication:Birsak2018-SA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birsak2018-SA-slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 783112566,
                "path": "Publication:Birsak2018-SA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birsak2018-SA-video.mp4",
                "type": "video/mp4",
                "size": 326776401,
                "path": "Publication:Birsak2018-SA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/Birsak2018-SA-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Birsak2018-SA/",
        "__class": "Publication"
    },
    {
        "id": "cizmic-2018-evd",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploratory Data Visualization Dashboard for Technical Analysis of Commodity Market Indicators",
        "date": "2018-04",
        "abstract": "Companies and traders working in the commodity market encounter a variety of different\ndata sets, including numerous economic indicators. The analysis of those indicators and\ntheir connection to certain markets can lead to important insights. The understanding of\nthe market can be improved and predictions of the future market development can be\ncreated. However, dozens of economic indicators exist and one of the main challenges is\nto show a clear overview of the indicators and identify those, which show a correlation\nto a certain market. Software tools are often utilised in order to perform the analysis\nof financial markets. However, according to domain experts, they often hit the limit of\nhuman perception capabilities. This thesis focuses on the development of a prototypical\nweb application dashboard, which enables the user to analyse the relation between\na defined commodity market and different economic indicators. Besides the relation\nbetween one indicator and a given market, the possibility to interactively create one’s own\ncomposite indicator, for comparison with the given market, is implemented. The process\nof creating a composite indicator is another challenge as it requires numerous decisions to\nbe made. The dashboard therefore offers a platform for exploring the different composite\nindicator configurations. Moreover, the web-application provides also some visualization\nand interaction techniques, like highlighting, brushing and details-on-demand to enhance\nthe comparison process and amplify human cognition.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "composite indicator view",
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 909,
            "image_height": 378,
            "name": "cizmic-2018-evd-screenshot.PNG",
            "type": "image/png",
            "size": 63662,
            "path": "Publication:cizmic-2018-evd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1462
        ],
        "date_end": "2018-04",
        "date_start": "2017-05",
        "matrikelnr": "1425788",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "composite indicator view",
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 909,
                "image_height": 378,
                "name": "cizmic-2018-evd-screenshot.PNG",
                "type": "image/png",
                "size": 63662,
                "path": "Publication:cizmic-2018-evd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "cizmic-2018-evd-thesis.pdf",
                "type": "application/pdf",
                "size": 2131622,
                "path": "Publication:cizmic-2018-evd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/cizmic-2018-evd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/cizmic-2018-evd/",
        "__class": "Publication"
    },
    {
        "id": "smiech-2018-tei",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Configurable Text Exploration Interface with NLP for Decision Support",
        "date": "2018-04",
        "abstract": "Having to read and understand lots of text documents and reports on a daily basis can\nbe quite challenging. The intended audience for these reports has limited resources and\nwants to reduce time spent on reading such reports. Therefore a need for a tool emerges\nthat assists the process of gaining relevant information out of reports/documents more\nquickly. These text documents are often unstructured and of varying length. They are\nwritten in the English language and are available from different sources (such as RSS\nfeeds and text files). The aim of this project is to offer a tool that supports the process of\nanalysing and understanding given texts. This is made possible by using natural language\nprocessing (NLP) and text visualization (TextVis). TextVis is already a well known and\nfrequently used solution. The herein described project uses an NLP pipeline which serves\nas preprocessing for TextVis. To provide quick insight into the data, topic extraction\nmechanisms like Latent Dirichlet Allocation (LDA) or Non-negative Matrix Factorization\n(NMF) are available for the user to be chosen within the aforementioned pipeline. A major\nchallenge for TextVis is the configuration of the NLP pipeline, because there are many\ndifferent ways of doing so and a wide range of parameters to chose from. To overcome this\nissue, this project provides a solution that enables users to easily configure and customize\ntheir own NLP pipeline. It is designed to encourage these users to experiment with\ndifferent sequences of NLP operations and parameter configurations to find a solution\nthat suites them best. In order to keep it easy to use the software, it is implemented\nentirely using web technologies to be accessible in a common web browser. The resulting\nvisualization will emphasize particular parts of the text based on a set of different factors,\nif selected so. These factors can be topics, sentiments and part-of-speech-tagged words.\nThe focus of this work lies on a visual interface that enables and encourages users to\nadjust/optimize the underlying NLP pipeline (by selecting steps and setting parameters)\nand comparing their results. Evaluation with help of user feedback showed that certain\npipeline configurations work better for certain types of texts than others. Using the\nsolution created within this work, users can adapt the tool to their needs and also tweak\nit according to requirements. There is no universal configuration that works for all\ndocuments, however.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "detail text view",
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 985,
            "image_height": 585,
            "name": "smiech-2018-tei-screenshot.PNG",
            "type": "image/png",
            "size": 125879,
            "path": "Publication:smiech-2018-tei",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1463
        ],
        "date_end": "2018-04",
        "date_start": "2017-05",
        "matrikelnr": "01426853",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "detail text view",
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 985,
                "image_height": 585,
                "name": "smiech-2018-tei-screenshot.PNG",
                "type": "image/png",
                "size": 125879,
                "path": "Publication:smiech-2018-tei",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "smiech-2018-tei-thesis.pdf",
                "type": "application/pdf",
                "size": 1305969,
                "path": "Publication:smiech-2018-tei",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/smiech-2018-tei-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/smiech-2018-tei/",
        "__class": "Publication"
    },
    {
        "id": "glanz-2017-pbrcomparison",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparison of Physically Based Rendering Systems",
        "date": "2018-03-30",
        "abstract": "In this thesis, a quantitative evaluation is performed to find the most relevant physically based rendering systems in research. As a consequence of this evaluation, the rendering systems Mitsuba, PBRT-v3 and LuxRender are compared to each other and their potential for interoperability is assessed. The goal is to find common materials and light models and analyze the effects of changing the parameters of those models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Visual comparison of various physically based rendering systems.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1220,
            "image_height": 1076,
            "name": "glanz-2017-pbrcomparison-teaser.png",
            "type": "image/png",
            "size": 1962544,
            "path": "Publication:glanz-2017-pbrcomparison",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1542
        ],
        "date_end": "2018-03-30",
        "date_start": "2017-03-06",
        "matrikelnr": "01329106",
        "supervisor": [
            1129,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "physically based rendering",
            "Monte Carlo rendering",
            "pbrt",
            "Mitsuba",
            "LuxRender"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visual comparison of various physically based rendering systems.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1220,
                "image_height": 1076,
                "name": "glanz-2017-pbrcomparison-teaser.png",
                "type": "image/png",
                "size": 1962544,
                "path": "Publication:glanz-2017-pbrcomparison",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "glanz-2017-pbrcomparison-thesis.pdf",
                "type": "application/pdf",
                "size": 34420089,
                "path": "Publication:glanz-2017-pbrcomparison",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/glanz-2017-pbrcomparison-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/glanz-2017-pbrcomparison/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2018-HiG",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Wolfgang Straßer Memorial Lecture:\u000bHis Engagement for Vienna and Austria",
        "date": "2018-03-15",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "event": "HiGraphics'2018",
        "location": "Riezlern, A",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Purgathofer-2018-HiG/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger-2018-TAC",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pictures in Your Mind: Using Interactive Gesture-Controlled Reliefs to Explore Art",
        "date": "2018-03",
        "abstract": "Tactile reliefs offer many benefits over the more classic\n                raised line drawings or tactile diagrams, as depth, 3D shape,\n                and surface textures are directly perceivable. Although often\n                created for blind and visually impaired (BVI) people, a wider\n                range of people may benefit from such multimodal material.\n                However, some reliefs are still difficult to understand without\n                proper guidance or accompanying verbal descriptions, hindering\n                autonomous exploration.\n                \n                In this work, we present a gesture-controlled interactive audio\n                guide (IAG) based on recent low-cost depth cameras that can be\n                operated directly with the hands on relief surfaces during\n                tactile exploration. The interactively explorable,\n                location-dependent verbal and captioned descriptions promise\n                rapid tactile accessibility to 2.5D spatial information in a\n                home or education setting, to online resources, or as a kiosk\n                installation at public places.\n                \n                We present a working prototype, discuss design decisions, and\n                present the results of two evaluation studies: the first with 13\n                BVI test users and the second follow-up study with 14 test users\n                across a wide range of people with differences and difficulties\n                associated with perception, memory, cognition, and\n                communication. The participant-led research method of this\n                latter study prompted new, significant and innovative\n                developments.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            1573,
            1574,
            1575,
            1576,
            1577,
            1578,
            204,
            228,
            190
        ],
        "journal": "ACM Transactions on Accessible Computing",
        "number": "2",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reichinger-2018-TAC/",
        "__class": "Publication"
    },
    {
        "id": "Reiter2017CVAP",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visualization of Pelvic Organ Segmentations",
        "date": "2018-03",
        "abstract": "Automatic segmentation of pelvic organs plays a major role in prostate cancer treatment and has high accuracy requirements. Segmentation experts are continuously working on improving their algorithms. However, natural anatomical variability of organs and structures is a common reason for which segmentation algorithms fail. Understanding why\nan algorithm fails in a specific case is of major importance. Segmentation experts expect that the shape and size of the organs can play an important role in the performance of their algorithms, but current means of exploration and analysis are limited and do not provide the necessary insight.\nThis thesis discusses the design and implementation of a web-based application allowing for easy exploration and analysis of shape variability in order to generate hypotheses about the relation between algorithm performance and shape of organs. A new way of comparatively visualizing multiple organs of multiple patients is introduced for a detailed shape comparison. The application was tested with segmentation meshes of a cohort of\n17 patients, each consisting of four pelvic organs and two organ-interfaces, which are\nlabeled and have per-triangle correspondence. The proposed tools already allow users to quickly identify mis-segmented organs and hypothesize about the relation of variability to anatomical features as well as segmentation quality. The approach was applied on pelvic organ segmentations, but it can be extended to other applications like comparison\nof segmentation algorithms or analysis of anatomical variability in general.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 385,
            "image_height": 345,
            "name": "Reiter2017CVAP-image.JPG",
            "type": "image/jpeg",
            "size": 23399,
            "path": "Publication:Reiter2017CVAP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1479
        ],
        "date_end": "2018-03-04",
        "date_start": "2017-04-01",
        "matrikelnr": "01226942",
        "supervisor": [
            1410,
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "comparative visualization",
            "statistical shape analysis"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/projekte/comparative-visualization-pelvic-organ-segmentations ",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 385,
                "image_height": 345,
                "name": "Reiter2017CVAP-image.JPG",
                "type": "image/jpeg",
                "size": 23399,
                "path": "Publication:Reiter2017CVAP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reiter2017CVAP-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 12069547,
                "path": "Publication:Reiter2017CVAP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/Reiter2017CVAP-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Reiter2017CVAP/",
        "__class": "Publication"
    },
    {
        "id": "Szabo-2018-DA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Composable and Reusable Photogrammetric Reconstruction Library",
        "date": "2018-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1002
        ],
        "date_end": "2018-03",
        "date_start": "2017-10",
        "matrikelnr": "00925269",
        "note": "1",
        "supervisor": [
            228,
            190
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "We identify the\nsame feature in\ntwo images.\nFeatures must\nlook and move\nsimilarly across\nviewpoints.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1240,
                "image_height": 466,
                "name": "Szabo-2018-DA-image.png",
                "type": "image/png",
                "size": 796141,
                "path": "Publication:Szabo-2018-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szabo-2018-DA-poster.pdf",
                "type": "application/pdf",
                "size": 673550,
                "path": "Publication:Szabo-2018-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szabo-2018-DA-thesis.pdf",
                "type": "application/pdf",
                "size": 10276451,
                "path": "Publication:Szabo-2018-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/Szabo-2018-DA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Szabo-2018-DA/",
        "__class": "Publication"
    },
    {
        "id": "Bauer_Dominik_2018_VR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of the Recognition Distances of Safety Signs in VR Considering Vision Impairments",
        "date": "2018-02",
        "abstract": "To facilitate the safe evacuation of buildings, escape-route safety signs need to be placed\nalong the whole escape route such that they are legible for building occupants. While\nstandards and legal requirements provide suggestions on how to select and place safety\nsigns to achieve this, they do not provide sufficient considerations concerning people\nsuffering from vision impairments. A main cause of vision impairment are age-related\neye diseases, with the most common symptom being the loss of visual acuity.\n\nWe investigate the influence of visual acuity on the ability to recognize safety signs using\na novel methodology, evaluating existing standards concerning vision impairments: We\ncalibrate the visual acuity of the test subjects to the same level via a standardized medical\ntest in VR. This is achieved by using test subjects with normal or corrected vision and\nsimulating the impairment in VR. Furthermore, we present a tool for lighting designers\nwhich enables them to check their designs considering maximum recognition distances to\ninvestigate problematic areas along an escape route.\n\nUsing our novel user-study methodology, we determined the recognition distances for\nsafety signs, observed under two different levels of visual acuity and varying observation\nangles. In addition, we determined the impact of the HTC Vive’s HMD on the visual\nacuity achievable in VR. We conclude that the existing standards fail to correctly estimate\nthe maximum recognition distances of safety signs for observers suffering from reduced\nvisual acuity.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 640,
            "image_height": 700,
            "name": "Bauer_Dominik_2018_VR-image.PNG",
            "type": "image/png",
            "size": 363350,
            "path": "Publication:Bauer_Dominik_2018_VR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1551
        ],
        "date_end": "2018-02-27",
        "date_start": "2017-02",
        "diploma_examina": "2018-02-27",
        "matrikelnr": "1227005",
        "supervisor": [
            193,
            1030
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "virtual reality",
            "vision impairment simulation",
            "emergency lighting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 640,
                "image_height": 700,
                "name": "Bauer_Dominik_2018_VR-image.PNG",
                "type": "image/png",
                "size": 363350,
                "path": "Publication:Bauer_Dominik_2018_VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 675,
                "image_height": 675,
                "name": "Bauer_Dominik_2018_VR-image2.PNG",
                "type": "image/png",
                "size": 118063,
                "path": "Publication:Bauer_Dominik_2018_VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_Dominik_2018_VR-poster.pdf",
                "type": "application/pdf",
                "size": 4262784,
                "path": "Publication:Bauer_Dominik_2018_VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_Dominik_2018_VR-thesis.pdf",
                "type": "application/pdf",
                "size": 20239365,
                "path": "Publication:Bauer_Dominik_2018_VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_Dominik_2018_VR-video.mp4",
                "type": "video/mp4",
                "size": 20669319,
                "path": "Publication:Bauer_Dominik_2018_VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/Bauer_Dominik_2018_VR-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Bauer_Dominik_2018_VR/",
        "__class": "Publication"
    },
    {
        "id": "gersthofer-2016-sosob",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reduced-Order Shape Optimization Using Offset Surfaces in Blender",
        "date": "2018-02",
        "abstract": "The advance of 3D printers’ capabilities and their sinking costs led to a huge trend of\npersonal and commercial fabrication. But those advances were restricted to the hardware\nside meaning that there was a lack of software to optimize the digital models before printing. This was necessary because physical properties like mass, center of mass or moments of inertia, were neglected in the design of digital 3D models. Those properties play an important role in the behavior of a real-world object. Examples of an objects behavior are the ability to stand in a specific pose, float in the water or stably rotate around a certain axis.\nIn the last few years methods have been presented to optimize digital models by altering\nspecific regions of their volume in order to change their physical properties and therefore\nto prepare them for printing. A recently presented method forms the basis of this thesis.\nDue to its flexibility and performance it is well suited to be integrated into current 3D modeling applications. The algorithm was implemented as a C/C++ library which can be integrated in almost every application. Afterwards this library was integrated into the open source 3D modeling application Blender as a modifier. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 482,
            "image_height": 517,
            "name": "gersthofer-2016-sosob-image.png",
            "type": "image/png",
            "size": 103557,
            "path": "Publication:gersthofer-2016-sosob",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1292
        ],
        "co_supervisor": [
            193
        ],
        "date_end": "2018-02-22",
        "date_start": "2015-11",
        "matrikelnr": "1325669",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Fabrication",
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "geometry processing",
            "shape optimization",
            "blender plugin"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 482,
                "image_height": 517,
                "name": "gersthofer-2016-sosob-image.png",
                "type": "image/png",
                "size": 103557,
                "path": "Publication:gersthofer-2016-sosob",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gersthofer-2016-sosob-thesis.pdf",
                "type": "application/pdf",
                "size": 18799264,
                "path": "Publication:gersthofer-2016-sosob",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/gersthofer-2016-sosob-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/gersthofer-2016-sosob/",
        "__class": "Publication"
    },
    {
        "id": "wu-2018-JVLC",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Overlap-Free Labeling of Clustered Networks Based on Voronoi Tessellation",
        "date": "2018-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 192,
            "name": "wu-2018-JVLC-teaser.png",
            "type": "image/png",
            "size": 23010,
            "path": "Publication:wu-2018-JVLC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1580,
            1581
        ],
        "journal": "Journal of Visual Languages & Computing",
        "number": "44",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2018-JVLC-paper.pdf",
                "type": "application/pdf",
                "size": 6440310,
                "path": "Publication:wu-2018-JVLC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 192,
                "name": "wu-2018-JVLC-teaser.png",
                "type": "image/png",
                "size": 23010,
                "path": "Publication:wu-2018-JVLC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/wu-2018-JVLC-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2018-JVLC/",
        "__class": "Publication"
    },
    {
        "id": "santos-2017-dacge",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distinctive Approaches to Computer Graphics Education",
        "date": "2018-02",
        "abstract": "This paper presents the latest advances and research in Computer Graphics education in a nutshell. It is concerned with topics that were presented at the Education Track of the Eurographics Conference held in Lisbon in 2016. We describe works corresponding to approaches to Computer Graphics education that are unconventional in some way and attempt to tackle unsolved problems and challenges regarding the role of arts in computer graphics education, the role of research-oriented activities in undergraduate education and the interaction among different areas of Computer Graphics, as well as their application to courses or extra-curricular activities. We present related works addressing these topics and report experiences, successes and issues in implementing the approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1503,
            1504,
            1505,
            1506,
            583,
            1507,
            1303,
            1256,
            266,
            730,
            1508,
            193,
            1509
        ],
        "doi": "10.1111/cgf.13305",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "1",
        "pages_from": "403",
        "pages_to": "412",
        "volume": "37",
        "research_areas": [],
        "keywords": [
            "Computer Graphics Education"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/santos-2017-dacge/",
        "__class": "Publication"
    },
    {
        "id": "polatsek-2018-stv",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploring visual attention and saliency modeling for task-based visual analysis",
        "date": "2018-02",
        "abstract": "Memory, visual attention and perception play a critical role in the design of visualizations. The way users observe a visualization is affected by salient stimuli in a scene as well as by domain knowledge, interest, and the task. While recent saliency models manage to predict the users’ visual attention in visualizations during exploratory analysis, there is little evidence how much influence bottom-up saliency has on task-based visual analysis. Therefore, we performed an eye-tracking study with 47 users to determine the users’ path of attention when solving three low-level analytical tasks using 30 different charts from the MASSVIS database [1]. We also compared our task-based eye tracking data to the data from the original memorability experiment by Borkin et al. [2]. We found that solving a task leads to more consistent viewing patterns compared to exploratory visual analysis. However, bottom-up saliency of a visualization has negligible influence on users’ fixations and task efficiency when performing a low-level analytical task. Also, the efficiency of visual search for an extreme target data point is barely influenced by the target’s bottom-up saliency. Therefore, we conclude that bottom-up saliency models tailored towards information visualization are not suitable for predicting visual attention when performing task-based visual analysis. We discuss potential reasons and suggest extensions to visual attention models to better account for task-based visual analysis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "graphical abstract",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 591,
            "image_height": 584,
            "name": "polatsek-2018-stv-graphical abstract.png",
            "type": "image/png",
            "size": 193042,
            "path": "Publication:polatsek-2018-stv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1545,
            1110,
            171,
            1546,
            1547
        ],
        "doi": "https://doi.org/10.1016/j.cag.2018.01.010",
        "journal": "Computers & Graphics",
        "number": "2",
        "open_access": "no",
        "research_areas": [
            "InfoVis",
            "Perception"
        ],
        "keywords": [
            "Information visualization",
            "Eye-tracking experiment",
            "Saliency",
            "Visual attention",
            "Low-level analytical tasks"
        ],
        "weblinks": [
            {
                "href": "https://www.sciencedirect.com/science/article/pii/S0097849318300104",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "graphical abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 591,
                "image_height": 584,
                "name": "polatsek-2018-stv-graphical abstract.png",
                "type": "image/png",
                "size": 193042,
                "path": "Publication:polatsek-2018-stv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-graphical abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "polatsek-2018-stv-paper.pdf",
                "type": "application/pdf",
                "size": 3228380,
                "path": "Publication:polatsek-2018-stv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/polatsek-2018-stv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/polatsek-2018-stv/",
        "__class": "Publication"
    },
    {
        "id": "koch-2018-sso",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Screen-Space Occlusion for Multiscale Molecular Visualization",
        "date": "2018-01-01",
        "abstract": "When visualizing large biological data sets the problem of visual clutter arises. This\nproblem is often counteracted with level of detail schemes and appropriate coloring of the visualized structures. Ambient occlusion and shadows are often used in order to improve the depth perception which however promote visual clutter when used excessively. In this work an approach is explored to utilize screen-space shading techniques to reduce the visual clutter by using hierarchy information that is provided with molecular models.\nThis is achieved by selectively applying screen-space shading techniques based on the semantics of the visualized hierarchically structured data. This technique is demonstrated by implementing a hierarchy-aware version of screen-space directional occlusion and screen-space ray traced shadows into Marion, an interactive rendering system to visualize biological data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 206,
            "image_height": 163,
            "name": "koch-2018-sso-image.JPG",
            "type": "image/jpeg",
            "size": 13053,
            "path": "Publication:koch-2018-sso",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1604
        ],
        "co_supervisor": [
            1383
        ],
        "date_end": "2018-01-01",
        "date_start": "2017-07-06",
        "matrikelnr": "01526232",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "koch-2018-sso-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 19662384,
                "path": "Publication:koch-2018-sso",
                "preview_name": "koch-2018-sso-Bachelor Thesis:preview.pdf",
                "preview_type": "application/pdf",
                "preview_size": 19662384,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 206,
                "image_height": 163,
                "name": "koch-2018-sso-image.JPG",
                "type": "image/jpeg",
                "size": 13053,
                "path": "Publication:koch-2018-sso",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/koch-2018-sso-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/koch-2018-sso/",
        "__class": "Publication"
    },
    {
        "id": "lipp-2017-mgpu",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Fiber Orientation in Glass Fiber Reinforced Polymers",
        "date": "2018-01",
        "abstract": "Fiber-reinforced composites are materials used for their extraordinary characteristics. The importance of these materials is constantly increasing, therefore, a wide range of variations exists of this material. Types range from Carbon Fiber Reinforced Polymer to Fiber-reinforced Foamed Urethane and more. Fiber-reinforced composites are lightweight,\nstrong, and durable, among others and are therefore used for printed circuit boards,\nrailway sleepers, airplanes or Formula 1 vehicles. To assure that these materials provide the required quality, they need to be tested and analyzed. To analyze these materials or to be more exact, the fibers within, special tools are needed. The first step is to scan the material with a X-ray Computed Tomography (CT) and save it as a volumetric CT-image on a computer. Now this data can be used to analyze the structure and find flaws in the dataset. In this thesis, a program for a later integration in a software called open_iA to extend its range of features, is developed. Purpose of the developed program is to analyze the orientation of fibers in a dataset. The result will be visualized with two different graphs. One shows the orientation of the fibers, while the other shows how\nmany fibers are visible to the analyst. With the option of different configurations, it is possible to further specify these visualizations and get a better understanding of the underlying data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 475,
            "image_height": 225,
            "name": "lipp-2017-mgpu-image.JPG",
            "type": "image/jpeg",
            "size": 32501,
            "path": "Publication:lipp-2017-mgpu",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1525
        ],
        "date_end": "2018-01-25",
        "date_start": "2017",
        "matrikelnr": "1425235",
        "supervisor": [
            166
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp-2017-mgpu-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 3396459,
                "path": "Publication:lipp-2017-mgpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 475,
                "image_height": 225,
                "name": "lipp-2017-mgpu-image.JPG",
                "type": "image/jpeg",
                "size": 32501,
                "path": "Publication:lipp-2017-mgpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/lipp-2017-mgpu-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lipp-2017-mgpu/",
        "__class": "Publication"
    },
    {
        "id": "miao_tvcg_2018",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multiscale Visualization and Scale-adaptive Modification of DNA Nanostructures",
        "date": "2018-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1640,
            "image_height": 951,
            "preview_image_width": 1640,
            "preview_image_height": 951,
            "name": "miao_tvcg_2018-image.png",
            "type": "image/png",
            "size": 1020459,
            "path": "Publication:miao_tvcg_2018",
            "preview_name": "miao_tvcg_2018-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 1020459,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            1474,
            1072,
            1471,
            1472,
            960,
            166,
            1473,
            171
        ],
        "date_from": "2017-01-01",
        "date_to": "2017-12-10",
        "event": "IEEE Vis 2017",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1263
        ],
        "number": "1",
        "volume": "24",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vimeo.com/238853739",
                "caption": "VIS presentation",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1640,
                "image_height": 951,
                "preview_image_width": 1640,
                "preview_image_height": 951,
                "name": "miao_tvcg_2018-image.png",
                "type": "image/png",
                "size": 1020459,
                "path": "Publication:miao_tvcg_2018",
                "preview_name": "miao_tvcg_2018-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 1020459,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1640,
                "preview_image_height": 951,
                "name": "miao_tvcg_2018-paper.pdf",
                "type": "application/pdf",
                "size": 36713848,
                "path": "Publication:miao_tvcg_2018",
                "preview_name": "miao_tvcg_2018-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 1020459,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "miao_tvcg_2018-video.mp4",
                "type": "video/mp4",
                "size": 80300196,
                "path": "Publication:miao_tvcg_2018",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/miao_tvcg_2018-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis",
            "Illustrare",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/miao_tvcg_2018/",
        "__class": "Publication"
    },
    {
        "id": "rraidou_clinical",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool",
        "date": "2018-01",
        "abstract": "Functional imaging techniques provide radiobiological information that can be included into tumour control probability (TCP) models to enable individualized outcome predictions in radiotherapy. However, functional imaging and the derived radiobiological information are influenced by uncertainties, translating into variations in individual TCP predictions. In this study we applied a previously developed analytical tool to quantify dose and TCP uncertainty bands when initial cell density is estimated from MRI-based apparent diffusion coefficient maps of eleven patients. TCP uncertainty bands of 16% were observed at patient level, while dose variations bands up to 8 Gy were found at voxel level for an iso-TCP approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1444,
            1410,
            1447,
            459,
            1445
        ],
        "journal": "Physics and Imaging in Radiation Oncology",
        "number": "5",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.phiro.science/article/S2405-6316(17)30058-1/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 512,
                "name": "rraidou_clinical-paper.pdf",
                "type": "application/pdf",
                "size": 748527,
                "path": "Publication:rraidou_clinical",
                "preview_name": "rraidou_clinical-paper:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 37473,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/rraidou_clinical-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/rraidou_clinical/",
        "__class": "Publication"
    },
    {
        "id": "Strohmayer-2018-BT",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Visual Analytics Approach to Hypocotyl/Root Transition Detection in Arabidopsis Thaliana",
        "date": "2018-01",
        "abstract": "Plant root phenotyping can be a tedious process if done manually, since it typically requires large data sets to be processed. The solution to this problem are automatic phenotyping pipelines, which allow significantly higher throughput than manual methods, by eliminating the need for human intervention. These pipelines rely on the robustness of automatic segmentation and detection methods for various plant characteristics. Due to numerous confounding factors, the detection of the hypocotyl/root transition point is still an unsolved task. In this thesis a novel approach to this problem, utilizing Statistical Break Point Analysis based on custom plant features, is presented. The approach has been developed using a visual analytics framework called PlateViewer, which was especially built for this task. The framework is able to analyze individual Arabidopsis Thaliana seedlings, taken from agar plate scan images, produced by an automatic phenotyping pipeline.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 920,
            "image_height": 1182,
            "name": "Strohmayer-2018-BT-image.png",
            "type": "image/png",
            "size": 560681,
            "path": "Publication:Strohmayer-2018-BT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1540
        ],
        "date_end": "2018-01",
        "date_start": "2017-08",
        "matrikelnr": "01426125",
        "supervisor": [
            1195
        ],
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 920,
                "image_height": 1182,
                "name": "Strohmayer-2018-BT-image.png",
                "type": "image/png",
                "size": 560681,
                "path": "Publication:Strohmayer-2018-BT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 920,
                "preview_image_height": 1182,
                "name": "Strohmayer-2018-BT-Thesis.pdf",
                "type": "application/pdf",
                "size": 6376986,
                "path": "Publication:Strohmayer-2018-BT",
                "preview_name": "Strohmayer-2018-BT-Thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 560681,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/Strohmayer-2018-BT-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Strohmayer-2018-BT/",
        "__class": "Publication"
    },
    {
        "id": "raidou_2018_bladderrunner",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bladder Runner: Visual Analytics for the Exploration of RT-Induced Bladder Toxicity in a Cohort Study",
        "date": "2018",
        "abstract": "We present the Bladder Runner, a novel tool to enable detailed visual exploration and analysis of the impact of bladder shape variation on the accuracy of dose delivery, during the course of prostate cancer radiotherapy (RT). Our tool enables the investigation of individual patients and cohorts through the entire treatment process, and it can give indications of RT-induced complications for the patient. In prostate cancer RT treatment, despite the design of an initial plan prior to dose administration, bladder toxicity remains very common. The main reason is that the dose is delivered in multiple fractions over a period of weeks, during which, the anatomical variation of the bladder - due to differences in urinary filling - causes deviations between planned and delivered doses. Clinical researchers want to correlate bladder shape variations to dose deviations and toxicity risk through cohort studies, to understand which specific bladder shape characteristics are more prone to side effects. This is currently done with Dose-Volume Histograms (DVHs), which provide limited, qualitative insight. The effect of bladder variation on dose delivery and the resulting toxicity cannot be currently examined with the DVHs. To address this need, we designed and implemented the Bladder Runner, which incorporates visualization strategies in a highly interactive environment with multiple linked views. Individual patients can be explored and analyzed through the entire treatment period, while inter-patient and temporal exploration, analysis and comparison are also supported. We demonstrate the applicability of our presented tool with a usage scenario, employing a dataset of 29 patients followed through the course of the treatment, across 13 time points. We conducted an evaluation with three clinical researchers working on the investigation of RT-induced bladder toxicity. All participants agreed that Bladder Runner provides better understanding and new opportunities for the exploration and analysis of the involved cohort data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1444,
            1170,
            1568,
            1445,
            1569,
            459,
            166
        ],
        "date_from": "2018-06",
        "date_to": "2018-06",
        "doi": "10.1111/cgf.13413",
        "event": "EuroVis 2018",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1410
        ],
        "number": "3",
        "pages": "205-216",
        "pages_from": "205",
        "pages_to": "216",
        "volume": "37",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1739,
                "preview_image_height": 707,
                "name": "raidou_2018_bladderrunner-Paper.pdf",
                "type": "application/pdf",
                "size": 2076364,
                "path": "Publication:raidou_2018_bladderrunner",
                "preview_name": "raidou_2018_bladderrunner-Paper:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 247274,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "raidou_2018_bladderrunner-Video.mp4",
                "type": "video/mp4",
                "size": 69890898,
                "path": "Publication:raidou_2018_bladderrunner",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/raidou_2018_bladderrunner-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_2018_bladderrunner/",
        "__class": "Publication"
    },
    {
        "id": "raidou_bestphd",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "EuroVis Best PhD Award 2018—Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline",
        "date": "2018",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 719,
            "image_height": 997,
            "name": "raidou_bestphd-.jpg",
            "type": "image/jpeg",
            "size": 182727,
            "path": "Publication:raidou_bestphd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 719,
                "image_height": 997,
                "name": "raidou_bestphd-.jpg",
                "type": "image/jpeg",
                "size": 182727,
                "path": "Publication:raidou_bestphd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/raidou_bestphd-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou_bestphd/",
        "__class": "Publication"
    },
    {
        "id": "raidou2018_rv3",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Uncertainty Visualization: Recent Developments and Future Challenges inProstate Cancer Radiotherapy Planning",
        "date": "2018",
        "abstract": "Radiotherapy is one of the most common treatment strategy for prostate cancer. Prior to radiotherapy, a complex process consisting of several steps is employed to create an optimal treatment plan. However, all these steps include several sources of uncertainty, which can be detrimental for the successful outcome of the treatment. In this work, we present a number of strategies from the field of Visual Analytics that have been recently designed and implemented, for the visualization of data, processes and uncertainties at each step of the planning pipeline. We additionally document our opinion on topics that have not been yet addressed, and could be interesting directions for future work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "booktitle": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018",
        "date_from": "2018",
        "date_to": "2018",
        "event": "EuroRV3",
        "journal": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) 2018",
        "pages": "013-017",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "raidou2018_rv3-Image.pdf",
                "type": "application/pdf",
                "size": 556976,
                "path": "Publication:raidou2018_rv3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "raidou2018_rv3-Paper.pdf",
                "type": "application/pdf",
                "size": 663354,
                "path": "Publication:raidou2018_rv3",
                "preview_name": "raidou2018_rv3-Paper:preview.pdf",
                "preview_type": "application/pdf",
                "preview_size": 556976,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/raidou2018_rv3-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/raidou2018_rv3/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-2018-ct-book",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Processing, Analysis and Visualization of CT Data in Industrial X-Ray Computed Tomography",
        "date": "2018",
        "abstract": "In an almost inexhaustible multitude of possibilities, CT allows to inspect highly complex systems and materials. Compared to other testing techniques CT provides results in a quick way: It is nondestructive and does not interfere with the specimen, it allows non-touching characterizations and what is most important CT allows to characterize hidden or internal features. However, CT would not have reached its current status in engineering without the achievements and possibilities in data processing. Only through processing, analysis and visualization of CT data, detailed insights into previously unachievable analyses are facilitated. Novel means of data analysis and visualization illustrate highly complex problems by means of clear and easy to understand renderings. In this chapter, we explore various aspects starting from the generalized data analysis pipeline, aspects of processing, analysis and visualization for metrology, nondestructive testing as well as specialized analyses.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            1170,
            571
        ],
        "booktitle": "Processing, Analysis and Visualization of CT Data",
        "pages_from": "99",
        "pages_to": "142",
        "publisher": "Springer",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/heinzl-2018-ct-book/",
        "__class": "Publication"
    },
    {
        "id": "klein_2017_IM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Construction and Visualization of Crowded Biological Environments",
        "date": "2018",
        "abstract": "We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations, and interactions. Their construction has previously been attempted only within a non-visual and non-interactive environment. Our solution unites the modeling and visualization aspect, enabling interactive construction of atomic resolution mesoscale models of large portions of a cell. We present a novel set of GPU algorithms that build the basis for the rapid construction of complex biological structures. These structures consist of multiple membrane-enclosed compartments including both soluble molecules and fibrous structures. The compartments are defined using volume voxelization of triangulated meshes. For membranes, we present an extension of the Wang\nTile concept that populates the bilayer with individual lipids. Soluble molecules are populated within compartments using the Halton\nsequence for their distribution. Fibrous structures, such as RNA or actin filaments, are created by self-avoiding random walks. Resulting overlaps of molecules are resolved by a forced-based system. Our approach opens new possibilities to the world of interactive\nconstruction of cellular compartments. We demonstrate its effectiveness by showcasing scenes of different scale and complexity that\ncomprise blood plasma, mycoplasma, and HIV.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "preview_image_width": 1726,
            "preview_image_height": 760,
            "name": "klein_2017_IM-image.png",
            "type": "image/png",
            "size": null,
            "path": "Publication:klein_2017_IM",
            "preview_name": "klein_2017_IM-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 706858,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285,
            1260,
            1248,
            1365,
            1475,
            166,
            171
        ],
        "doi": "10.1109/TVCG.2017.2744258",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1285
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vimeo.com/238851516",
                "caption": "VIS presentation",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1726,
                "preview_image_height": 760,
                "name": "klein_2017_IM-image.png",
                "type": "image/png",
                "size": null,
                "path": "Publication:klein_2017_IM",
                "preview_name": "klein_2017_IM-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 706858,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein_2017_IM-paper.pdf",
                "type": "application/pdf",
                "size": 26450869,
                "path": "Publication:klein_2017_IM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/klein_2017_IM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/klein_2017_IM/",
        "__class": "Publication"
    },
    {
        "id": "lawonn-2018-illvisstar",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Surface-Based Illustrative Rendering for Visualization",
        "date": "2018",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1544,
            171,
            563,
            960
        ],
        "doi": "10.1111/cgf.13322",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "NN",
        "open_access": "no",
        "pages": "n/a–n/a",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "scientific visualization",
            "visualization",
            "Categories and SubjectDescriptors (according to ACM CCS): I.3.3 [Computer Graphics]:Picture/Image GenerationLine and curve generation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/lawonn-2018-illvisstar/",
        "__class": "Publication"
    },
    {
        "id": "dietrich-2016-viseq2",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "\tSmart Visibility Technique for Linear and Planar Molecular Assemblies",
        "date": "2018",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1169,
            "image_height": 691,
            "name": "dietrich-2016-viseq2-image.jpg",
            "type": "image/jpeg",
            "size": 172846,
            "path": "Publication:dietrich-2016-viseq2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1384
        ],
        "date_end": "2018-05",
        "date_start": "2016-10",
        "matrikelnr": "1026167",
        "note": "3",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1169,
                "image_height": 691,
                "name": "dietrich-2016-viseq2-image.jpg",
                "type": "image/jpeg",
                "size": 172846,
                "path": "Publication:dietrich-2016-viseq2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dietrich-2016-viseq2-thesis.pdf",
                "type": "application/pdf",
                "size": 5627773,
                "path": "Publication:dietrich-2016-viseq2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/dietrich-2016-viseq2-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/dietrich-2016-viseq2/",
        "__class": "Publication"
    },
    {
        "id": "EuroVis2018-ShortPapers-Karall",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "ChemoExplorer: A Dashboard for the Visual Analysis of ChemotherapyResponse in Breast Cancer Patients",
        "date": "2018",
        "abstract": "In breast cancer chemotherapy treatment, different alternative strategies can be employed. Clinical researchers working on the optimization of chemotherapy strategies need to analyze the progress of the treatment and to understand how different groups of patients respond to selected therapies. This is a challenging task, because of the multitude of imaging and non-imaging health record data involved. We, hereby, introduce a web-based dashboard that facilitates the comparison and analysis of publicly available breast cancer chemotherapy response data, consisting of a follow-up study of 63 patients. Each patient received one of two available therapeutic strategies and their treatment response was documented. Our dashboard provides an initial basis for clinical researchers working on chemotherapy optimization, to analyze the progress of treatment and to compare the response of (groups of) patients with distinct treatment characteristics. Our approach consists of multiple linked representations that provide interactive views on different aspects of the available imaging and non-imaging data. To illustrate the functionality of the ChemoExplorer, we conducted a usage scenario that shows the initial results of our work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "name": "EuroVis2018-ShortPapers-Karall-.mp4",
            "type": "video/mp4",
            "size": 36056866,
            "path": "Publication:EuroVis2018-ShortPapers-Karall",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png",
            "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1480,
            166,
            1410
        ],
        "date_from": "2018-06",
        "date_to": "2018-06",
        "doi": "10.2312/eurovisshort.20181077",
        "event": "EuroVis 2018",
        "journal": "Computer Graphics Forum",
        "pages": "049-053",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "EuroVis2018-ShortPapers-Karall-.mp4",
                "type": "video/mp4",
                "size": 36056866,
                "path": "Publication:EuroVis2018-ShortPapers-Karall",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "EuroVis2018-ShortPapers-Karall-Paper.pdf",
                "type": "application/pdf",
                "size": 1251937,
                "path": "Publication:EuroVis2018-ShortPapers-Karall",
                "preview_name": "EuroVis2018-ShortPapers-Karall-Paper:preview.pdf",
                "preview_type": "application/pdf",
                "preview_size": 787536,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/EuroVis2018-ShortPapers-Karall-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Karall/",
        "__class": "Publication"
    },
    {
        "id": "EuroVis2018-ShortPapers-Reiter",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visual Analysis of Pelvic Organ Segmentations",
        "date": "2018",
        "abstract": "In prostate cancer treatment, automatic segmentations of the pelvic organs are often used as input to radiotherapy planning systems. However, natural anatomical variability of the involved organs is a common reason, for which segmentation algorithms fail, introducing errors in the radiotherapy treatment procedure, as well. Understanding how the shape and size of these organs affect the accuracy of segmentation is of major importance for developers of segmentation algorithms. However, current means of exploration and analysis provide limited insight. In this work, we discuss the design and implementation of a web-based framework, which enables easy exploration and detailed analysis of shape variability, and allows the intended users - i.e., segmentation experts - to generate hypotheses in relation to the performance of the involved algorithms. Our proposed approach was tested with segmentation meshes from a small cohort of 17 patients. Each mesh consists of four pelvic organs and two organ interfaces, which are labeled and have per-triangle correspondences. A usage scenario and an initial informal evaluation with a segmentation expert demonstrate that our framework allows the developers of the algorithms to quickly identify inaccurately segmented organs and to deliberate about the relation of variability to anatomical features and segmentation quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1479,
            679,
            166,
            1410
        ],
        "cfp": {
            "name": "Doc1.pdf",
            "type": "application/pdf",
            "error": "0",
            "size": "81198",
            "orig_name": "Doc1.pdf",
            "ext": "pdf"
        },
        "date_from": "2018-06",
        "date_to": "2018-06",
        "doi": "10.2312/eurovisshort.20181075",
        "event": "EuroVis 2018",
        "journal": "Computer Graphics Forum",
        "pages": "037-041",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/eurovisshort20181075",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Honorable Mention ",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1745,
                "image_height": 1309,
                "name": "EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg",
                "type": "image/jpeg",
                "size": 133647,
                "path": "Publication:EuroVis2018-ShortPapers-Reiter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention .jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Honorable Mention :thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "EuroVis2018-ShortPapers-Reiter-paper.pdf",
                "type": "application/pdf",
                "size": 986839,
                "path": "Publication:EuroVis2018-ShortPapers-Reiter",
                "preview_name": "EuroVis2018-ShortPapers-Reiter-paper:preview.pdf",
                "preview_type": "application/pdf",
                "preview_size": 296777,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "EuroVis2018-ShortPapers-Reiter-Video.mp4",
                "type": "video/mp4",
                "size": 41963961,
                "path": "Publication:EuroVis2018-ShortPapers-Reiter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/EuroVis2018-ShortPapers-Reiter-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/EuroVis2018-ShortPapers-Reiter/",
        "__class": "Publication"
    },
    {
        "id": "Oancea2018OAK",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparison of Four Texture Algorithms: Detecting Early Signs of Osteoarthritis in Knee  Trabecular Bone",
        "date": "2018",
        "abstract": "This master thesis aims to provide an in-depth comparison of four texture algorithms in their capacity\nof recognizing early signs of osteoarthritis in 2D radiographs of the knee trabecular bone. Given the\nfractal properties of the trabecular bone, two fractal-based algorithms (VOT and Bone Structure Value)\nthat try to characterize the complexity of the underlying structure of the bone are presented. The third\nalgorithm (based on Shannon’s Entropy) stems from the information theory and aims to describe the\nbone structure in terms of information complexity. The last algorithm is based on the co-occurrence\nmatrix of an image and describes the texture in terms of Haralick features.\nFirst, a motivation for the detection of early OA is given. Second, a detailed description and\nmathematical background of the algorithms are presented. Third, the data sets (MOST, Portugal) used\nfor classification and validation tests are introduced. Fourth, the results of each algorithm are\ndiscussed and their independent capacity of not discriminating between trabecular bones with early\nsigns of OA and healthy bones. Fifth, a discussion is given on the influence of resolution, pixel spacing\nand x-ray doses on the results of the algorithms. Finally, some ideas about an optimal feature selection\nare introduced.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1361
        ],
        "date_end": "2018-02-15",
        "date_start": "2017-07-15",
        "matrikelnr": "1227706",
        "supervisor": [
            166,
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Knee Osteoarthritis Detection"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Oancea2018OAK/",
        "__class": "Publication"
    },
    {
        "id": "Tramberger2017BCS",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Breast Lesion Evaluation for Comparative Studies",
        "date": "2018",
        "abstract": "coming soon",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1481
        ],
        "date_end": "2017-11-30",
        "date_start": "2017-08-15",
        "matrikelnr": "01326870",
        "supervisor": [
            1410,
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Breast Lesion Segmentation",
            "Visual Analysis"
        ],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/projekte/automatic-breast-lesion-evaluation-comparative-studies",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/Tramberger2017BCS/",
        "__class": "Publication"
    },
    {
        "id": "wu-2017-dagstuhl",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mapifying the Genome, Scalable Set Visualizations (Dagstuhl Seminar 17332)",
        "date": "2018",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1677,
            1678,
            1679,
            1464
        ],
        "number": "TR-193-02-2018-2",
        "open_access": "yes",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://doi.org/10.4230/DagRep.7.8.1",
                "caption": "Dagstuhl Seminar 17332",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2017-dagstuhl-paper.pdf",
                "type": "application/pdf",
                "size": 3647552,
                "path": "Publication:wu-2017-dagstuhl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/wu-2017-dagstuhl-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "BioNetIllustration"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2018/wu-2017-dagstuhl/",
        "__class": "Publication"
    },
    {
        "id": "miao_kaust_2018",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Abstraction and Modeling in DNA Nanotechnology",
        "date": "2017-12-14",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "date_from": "2018-12-14",
        "date_to": "2018-12-14",
        "event": "Workshop @ Visual Computing Center, KAUST",
        "location": "King Abdullah University of Science and Technology, Saudi Arabia",
        "research_areas": [
            "IllVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_kaust_2018/",
        "__class": "Publication"
    },
    {
        "id": "Pezenka-2016-MT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "BrainXPlore - Decision finding in Brain Biopsy Planning",
        "date": "2017-12",
        "abstract": "Neurosurgeons make decisions based on expert knowledge that takes factors such as\nsafety margins, the avoidance of risk structures, trajectory length and trajectory angle into consideration. While some of those factors are mandatory, others can be optimized in order to obtain the best possible trajectory under the given circumstances. Through comparison with the actually chosen trajectories from real biopsies and qualitative interviews with domain experts, we identified important rules for trajectory planning. In this thesis, we present BrainXplore, an interactive visual analysis tool for aiding\nneurosurgeons in planning brain biopsies. BrainXplore is an extendable Biopsy\nPlanning framework that incorporates those rules while at the same time leaving full\nflexibility for their customization and adding of new structures at risk. Automatically computed candidate trajectories can be incrementally refined in an interactive manner until an optimal trajectory is found. We employ a spatial index server as part of our system that allows us to access distance information on an unlimited number of risk structures at arbitrary resolution. Furthermore, we implemented InfoVis techniques such as Parallel Coordinates and risk signature charts to drive the decision process. As a case study, BrainXPlore offers a variety of information visualization modalities to present multivariate data in different ways. We evaluated BrainXPlore on a real dataset and accomplished acceptable results. The participating neurosurgeon gave us the feedback that BrainXPlore can decrease the time needed for biopsy planning and aid novice users in their decision making process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 197,
            "name": "Pezenka-2016-MT-image.JPG",
            "type": "image/jpeg",
            "size": 17214,
            "path": "Publication:Pezenka-2016-MT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1031
        ],
        "date_end": "2017-11-28",
        "date_start": "2016",
        "matrikelnr": "0625948 ",
        "supervisor": [
            231,
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 197,
                "name": "Pezenka-2016-MT-image.JPG",
                "type": "image/jpeg",
                "size": 17214,
                "path": "Publication:Pezenka-2016-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pezenka-2016-MT-Master Thesis.pdf",
                "type": "application/pdf",
                "size": 20385403,
                "path": "Publication:Pezenka-2016-MT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/Pezenka-2016-MT-Master Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Pezenka-2016-MT/",
        "__class": "Publication"
    },
    {
        "id": "kroesl_x_card_2017",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2017",
        "date": "2017-12",
        "abstract": "This Christmas we want to illuminate your holidays with luminaires specifically designed for this occasion. The festive scene on this card features semi-translucent luminaires in the shape of christmas trees. The light distribution  of the corresponding luminaire model was simulated in LiteMaker,an interactive luminaire development tool that was developed at TU Wien and VRVis. LiteMaker provides interactive editing functionality and very fast high-quality previews of the final physically correct simulated light distribution of a luminaire model. The final  scene  and  light  distributions  were  rendered  using  our  light­\nplanning software HILITE.\n\nDie weihnachtliche Szene auf dieser Karte wird durch Leuchten in Form von Christbäumen erhellt. Für das Lichtdesign der Szene wurde LiteMaker verwendet, ein an der TU Wien und am VRVis entwickeltes interaktives Entwicklungswerkzeug fur Beleuchtungskörper. Durch interaktives Bearbeiten, und sehr schnelle aber dennoch hochwertige physikalisch korrekte Vorschaubilder, ermöglicht LiteMaker ein rascheres Design von Beleuchtungskonzepten. Die fertige Szene wurde anschließend in unserer Lichtsimuationssoftware HILITE gerendert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "X max 2017",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1030,
            "image_height": 730,
            "name": "kroesl_x_card_2017-X max 2017.JPG",
            "type": "image/jpeg",
            "size": 83593,
            "path": "Publication:kroesl_x_card_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            1116
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "X Mas card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl_x_card_2017-X Mas card.pdf",
                "type": "application/pdf",
                "size": 998745,
                "path": "Publication:kroesl_x_card_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X Mas card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "X max 2017",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1030,
                "image_height": 730,
                "name": "kroesl_x_card_2017-X max 2017.JPG",
                "type": "image/jpeg",
                "size": 83593,
                "path": "Publication:kroesl_x_card_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/kroesl_x_card_2017-X max 2017:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl_x_card_2017/",
        "__class": "Publication"
    },
    {
        "id": "steiner_2016_isad",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrated Structural-Architectural Design for Interactive Planning",
        "date": "2017-12",
        "abstract": "Traditionally, building floorplans are designed by architects with their usability, functionality, and architectural aesthetics in mind, however, the structural properties of the distribution of load-bearing walls and columns are usually not taken into account at this stage. In this paper we propose a novel approach for the design of architectural floorplans by integrating structural layout analysis directly into the planning process. In order to achieve this, we introduce a planning tool which interactively enforces checks for structural stability of the current design, and which on demand proposes how to stabilize it if necessary. Technically, our solution contains an interactive architectural modeling framework as well as a constrained optimization module where both are based on respective architectural rules. Using our tool, an architect can predict already in a very early planning stage which designs are structurally sound such that later changes due to stability reasons can be prevented. We compare manually computed solutions with optimal results of our proposed automated design process in order to show how much our proposed system can help architects to improve the process of laying out structural models optimally.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1000,
            "preview_image_width": 1500,
            "preview_image_height": 1000,
            "name": "steiner_2016_isad-image.png",
            "type": "image/png",
            "size": 392167,
            "path": "Publication:steiner_2016_isad",
            "preview_name": "steiner_2016_isad-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 392167,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1120,
            1375,
            1376,
            193,
            844
        ],
        "doi": "10.1111/cgf.12996",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1120
        ],
        "number": "8",
        "pages_from": "80",
        "pages_to": "94",
        "volume": "36",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1111/cgf.12996",
                "caption": "doi",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1000,
                "preview_image_width": 1500,
                "preview_image_height": 1000,
                "name": "steiner_2016_isad-image.png",
                "type": "image/png",
                "size": 392167,
                "path": "Publication:steiner_2016_isad",
                "preview_name": "steiner_2016_isad-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 392167,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "steiner_2016_isad-preprint.pdf",
                "type": "application/pdf",
                "size": 5914360,
                "path": "Publication:steiner_2016_isad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/steiner_2016_isad-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA",
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steiner_2016_isad/",
        "__class": "Publication"
    },
    {
        "id": "sbert-2017-sa_course_0023",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information Theory In Visualization",
        "date": "2017-11-30",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            207,
            1527,
            171,
            1083,
            1512,
            608
        ],
        "date_from": "2017",
        "date_to": "2017",
        "event": "SIGGRAPH Asia 2017 Course 0023",
        "location": "Bangkok, Thailand",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://sa2017.siggraph.org/attendees/courses?view=session&sid=9",
                "caption": "SIGGRAPH Asia 2017 Course Information",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "course notes",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sbert-2017-sa_course_0023-course notes.pdf",
                "type": "application/pdf",
                "size": 10503939,
                "path": "Publication:sbert-2017-sa_course_0023",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/sbert-2017-sa_course_0023-course notes:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sbert-2017-sa_course_0023/",
        "__class": "Publication"
    },
    {
        "id": "unger_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of Machine Learning Frameworks on Tuberculosis Classification of Chest Radiographs",
        "date": "2017-11-28",
        "abstract": "In this thesis different state-of-the-art machine learning frameworks were implemented and evaluated on chest radiographs to classify them into tuberculotic or healthy radiographs.\nTraditional explicit feature engineering was performed, as well as different deep learning approaches were applied. For the deep learning experiments different publicly available architectures were compared in two different tasks. The first task with deep learning was to use a Convolutional Neural Network, already trained on a different task, to extract\nfeatures of the chest radiographs. These features were then classified separately. The second experiment was to use a Convolutional Neural Network, again pretrained on a different task, and train this network carefully again on the chest radiographs. The results of the different frameworks were summarized, evaluated and presented in tables.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 93,
            "name": "unger_2017-image.JPG",
            "type": "image/jpeg",
            "size": 11457,
            "path": "Publication:unger_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1530
        ],
        "date_end": "2017-11-28",
        "date_start": "2017-06-10",
        "matrikelnr": "01325652",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "unger_2017-Bachelor Thesis.PDF",
                "type": "application/pdf",
                "size": 3705785,
                "path": "Publication:unger_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis.PDF",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 93,
                "name": "unger_2017-image.JPG",
                "type": "image/jpeg",
                "size": 11457,
                "path": "Publication:unger_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/unger_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/unger_2017/",
        "__class": "Publication"
    },
    {
        "id": "Waldner_2017_11",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Guiding Attention in Complex Visualizations using Flicker",
        "date": "2017-11-17",
        "abstract": "Drawing the user’s gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker is also a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. While it is very salient, it is often perceived as annoying. In this talk, I will present our research on how flicker can be used as attention guidance technique in cluttered visualizations while lowering its negative side-effects. In particular, I will first present results of studies examining a two-stage flicker technique for dynamic visualizations on large displays. Then, I will present we our explorations of high frequency flicker (60 to 72 Hz) to guide the user’s attention in images. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. We show that high frequency flicker, using personalized attributes like patch size and luminance, can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user’s attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110
        ],
        "event": "S&T Cooperation Austria-Czech Republic",
        "location": "Czech Technical University",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldner_2017_11/",
        "__class": "Publication"
    },
    {
        "id": "ROEGNER-2014-TUI",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Upsampling for Image Sequences Using a Non-Local Means Algorithm",
        "date": "2017-11-17",
        "abstract": "Computer-generated video sequences with a frame-rate higher than the usual 24 images per second, such as 48 or 60 frames per second, have become more popular in the respective industries, due to more visual fidelity. This, however, results in more computational costs for the same length of the video sequence.\n\nOne solution to this problem is the so-called frame-rate upsampling, which makes use of temporal and spatial coherence to approximate new frames and therefore saves computational time. Several methods have been published in this field, for the purposes of real-time rendering as well as for offline rendering algorithms. \n\nIn this thesis, two new algorithms for fame-rate upsampling are introduced. Those are targeted at high-quality computer-generated images that feature various globalillumination effects. The two new algorithms make use of a video denoising method - the non-local means algorithm - to find the appropriate pixel colors for the frame, that has to be upsampled. To find the corresponding pixels in another frame, the methods of this thesis either use existing color information or require additional data, which can be extracted from any global-illumination algorithm with minimal further computations. The proposed methods are aimed at handling reflections and refractions in the scene\nbetter than previous work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 345,
            "image_height": 195,
            "name": "ROEGNER-2014-TUI-image.jpg",
            "type": "image/jpeg",
            "size": 7374,
            "path": "Publication:ROEGNER-2014-TUI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            875
        ],
        "date_end": "2017-11-17",
        "date_start": "2014-06-03",
        "diploma_examina": "2017-11-17",
        "matrikelnr": "0825045",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "frame-rate upsampling",
            "temporal coherence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 345,
                "image_height": 195,
                "name": "ROEGNER-2014-TUI-image.jpg",
                "type": "image/jpeg",
                "size": 7374,
                "path": "Publication:ROEGNER-2014-TUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ROEGNER-2014-TUI-poster.pdf",
                "type": "application/pdf",
                "size": 4622449,
                "path": "Publication:ROEGNER-2014-TUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "ROEGNER-2014-TUI-thesis.pdf",
                "type": "application/pdf",
                "size": 2537027,
                "path": "Publication:ROEGNER-2014-TUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/ROEGNER-2014-TUI-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ROEGNER-2014-TUI/",
        "__class": "Publication"
    },
    {
        "id": "Kouril_2017_11",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Challenges and advances in multi-scale biology data visualization",
        "date": "2017-11-16",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1163,
            "image_height": 651,
            "name": "Kouril_2017_11-.PNG",
            "type": "image/png",
            "size": 525843,
            "path": "Publication:Kouril_2017_11",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383
        ],
        "event": "S&T Cooperation Austria-Czech Republic",
        "location": "Czech Technical University",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1163,
                "image_height": 651,
                "name": "Kouril_2017_11-.PNG",
                "type": "image/png",
                "size": 525843,
                "path": "Publication:Kouril_2017_11",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/Kouril_2017_11-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kouril_2017_11/",
        "__class": "Publication"
    },
    {
        "id": "CELAREK-2017-QCL",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Quantifying the Convergence of Light-Transport Algorithms",
        "date": "2017-11-14",
        "abstract": "This work aims at improving methods for measuring the error of unbiased, physically\nbased light-transport algorithms. State-of-the-art papers show algorithmic improvements\nvia error measures like Mean Square Error (MSE) or visual comparison of equal-time\nrenderings. These methods are unreliable since outliers can cause MSE variance and\nvisual comparison is inherently subjective.\nWe introduce a simple proxy algorithm: pure algorithms produce one image corresponding\nto the computation budget N. The proxy, on the other hand, averages N independent\nimages with a computation budget of 1. The proxy algorithm fulfils the preconditions\nfor the Central Limit Theorem (CLT), and hence, we know that its convergence rate is\n(1/N). Since this same convergence rate applies for all methods executed using the\nproxy algorithm, comparisons using variance- or standard-deviation-per-pixel images are\npossible. These per-pixel error images can be routinely computed and allow comparing\nthe render quality of different lighting effects. Additionally, the average of pixel variances\nis more robust against outliers compared to the traditional MSE or comparable metrics\ncomputed for the pure algorithm.\nWe further propose the Error Spectrum Ensemble (ESE) as a new tool for evaluating lighttransport\nalgorithms. It summarizes expected error and outliers over spatial frequencies.\nESE is generated using the data from the proxy algorithm: N error images are computed\nusing a reference, transformed into Fourier power spectra and compressed using radial\naverages. The descriptor is a summary of those radial averages.\nIn the results, we show that standard-deviation images, short equal-time renderings, ESE\nand expected MSE are valuable tools for assessing light-transport algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 594,
            "image_height": 372,
            "name": "CELAREK-2017-QCL-image.png",
            "type": "image/png",
            "size": 39262,
            "path": "Publication:CELAREK-2017-QCL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013
        ],
        "date_end": "2017-11-14",
        "date_start": "2016-01-15",
        "diploma_examina": "2017-11-14",
        "matrikelnr": "0926881",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "error metric",
            "global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 594,
                "image_height": 372,
                "name": "CELAREK-2017-QCL-image.png",
                "type": "image/png",
                "size": 39262,
                "path": "Publication:CELAREK-2017-QCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CELAREK-2017-QCL-poster.pdf",
                "type": "application/pdf",
                "size": 392985,
                "path": "Publication:CELAREK-2017-QCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CELAREK-2017-QCL-thesis.pdf",
                "type": "application/pdf",
                "size": 16734560,
                "path": "Publication:CELAREK-2017-QCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/CELAREK-2017-QCL-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "OpenData"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CELAREK-2017-QCL/",
        "__class": "Publication"
    },
    {
        "id": "Rainer_2017",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Shape Detection in Out-of-Core Point Clouds for Assisted User Interactions",
        "date": "2017-11",
        "abstract": "This thesis presents a semi-automated method for shape detection in out-of-core point clouds. Rather than performing shape detection on the entire point cloud at once, a user-controlled interaction determines the region that is to be segmented next. By keeping the size of the region and the number of points small, the algorithm produces meaningful results within a fraction of a second. Thus, the user is presented immediately with\nfeedback on the local geometry.\nAs modern point clouds can contain billions of points and the memory capacity of\nconsumer PCs is usually insufficient to hold all points in memory at the same time, a level-of-detail data structure is used to store the point cloud on the hard disc, and data is loaded into memory only on use. This data structure partitions the point cloud into small regions, each containing around 5000 points, that are used for rendering and shape detection. Interacting with point clouds is a particularly demanding task. A precise selection of a\nregion of interest, using the two-dimensional lasso interaction, often needs multiple view changes and subsequent improvements. This thesis proposes improvements to the lasso interaction, by performing selection only on the set of points that are approximated by a\ndetected shape. Thus, the selection of undesired points in the fore- and background is reduced. Point picking is improved as well by the use of a detected shape, such that only points that are approximated by this shape are pick-able.\nThe result of this thesis is an application that allows the user to view point clouds with millions of points. It also provides a novel interaction technique for quick local shape detection as well as shape-assisted interactions that utilize this local semantic information to improve the user’s workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 481,
            "image_height": 300,
            "name": "Rainer_2017-image.JPG",
            "type": "image/jpeg",
            "size": 51988,
            "path": "Publication:Rainer_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1539
        ],
        "date_end": "2017-10-17",
        "date_start": "2016-10-10",
        "diploma_examina": "2018-01-09",
        "matrikelnr": "0828592",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 481,
                "image_height": 300,
                "name": "Rainer_2017-image.JPG",
                "type": "image/jpeg",
                "size": 51988,
                "path": "Publication:Rainer_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rainer_2017-Master thesis.pdf",
                "type": "application/pdf",
                "size": 9242735,
                "path": "Publication:Rainer_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-Master thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rainer_2017-poster.pdf",
                "type": "application/pdf",
                "size": 4630728,
                "path": "Publication:Rainer_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/Rainer_2017-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Rainer_2017/",
        "__class": "Publication"
    },
    {
        "id": "waldin-2017-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using and Adapting to Limits of Human Perception in Visualization",
        "date": "2017-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461
        ],
        "duration": "3 years",
        "reviewer_1": [
            1526
        ],
        "reviewer_2": [
            1313
        ],
        "rigorosum": "2017-11-06",
        "supervisor": [
            171
        ],
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldin-2017-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 3029725,
                "path": "Publication:waldin-2017-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/waldin-2017-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldin-2017-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2017-ARTORW",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Random Talk on Random Walks",
        "date": "2017-10-20",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "10 Years Bergen VisGroup Celebration",
        "location": "University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-ARTORW/",
        "__class": "Publication"
    },
    {
        "id": "KREUZER-2017-PBF",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Perception-Based Filtering to Hide Shadow Artifacts",
        "date": "2017-10-05",
        "abstract": "Shadows are an indispensable aid for understanding spatial relations of objects in\nnatural scenes, which is why they are very important for real-time rendering applications.\nCombining filtering techniques with shadow mapping is a common tool to simulate\nvisually-pleasing shadows in interactive applications. A positive effect of such approaches\nis that the filtering blurs aliasing artifacts caused by sampling the discretized geometric\ndata stored in the shadow map, thereby improving the visual quality of the shadow.\nThe goal of this thesis is to exploit common filtering algorithms, in order to find a\nfunction of blur radius and shadow-map sampling frequency, which allows for optimized\ncomputational performance while mostly preserving the visual quality of the shadow.\nIn the course of this work, we investigate how shadow artifacts arise and how to hide\nthem. We set up and execute a user study to find the optimal relation between the\nshadow-map sampling frequency and the filter radius. From the results of the user study,\nwe derive a formula and develop an algorithm that can be incorporated into existing\nshadow-mapping algorithms. We evaluate our results by applying the algorithm to a\ncustom-made rendering framework and observe an increase in processing speeds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 542,
            "image_height": 454,
            "name": "KREUZER-2017-PBF-image.png",
            "type": "image/png",
            "size": 112349,
            "path": "Publication:KREUZER-2017-PBF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1046
        ],
        "date_end": "2017-10-05",
        "date_start": "2016-06-01",
        "diploma_examina": "2017-10-05",
        "matrikelnr": "0827433",
        "supervisor": [
            193,
            779
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "soft shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 542,
                "image_height": 454,
                "name": "KREUZER-2017-PBF-image.png",
                "type": "image/png",
                "size": 112349,
                "path": "Publication:KREUZER-2017-PBF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KREUZER-2017-PBF-poster.pdf",
                "type": "application/pdf",
                "size": 2166045,
                "path": "Publication:KREUZER-2017-PBF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KREUZER-2017-PBF-thesis.pdf",
                "type": "application/pdf",
                "size": 9488073,
                "path": "Publication:KREUZER-2017-PBF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/KREUZER-2017-PBF-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/KREUZER-2017-PBF/",
        "__class": "Publication"
    },
    {
        "id": "OPPITZ-2017-3DM",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Mass Customization: Real-Time High-Quality Lighting Effects for WebGL",
        "date": "2017-10-01",
        "abstract": "During the internship at ShapeDiver GmbH  the visual quality of an existing WebGL\nplatform had to be improved. This platform is used as an online 3D configurator, in which customers\ncan modify the properties of parametric models. This includes the modification of properties like\nshape, size and materials. The difficulty for this project was to contemplate the fact that the product\ncan be customized by the user in real-time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 825,
            "image_height": 605,
            "name": "OPPITZ-2017-3DM-image.jpg",
            "type": "image/jpeg",
            "size": 25757,
            "path": "Publication:OPPITZ-2017-3DM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1501
        ],
        "date_end": "2017-10-01",
        "date_start": "2017-06-20",
        "matrikelnr": "1227129",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 825,
                "image_height": 605,
                "name": "OPPITZ-2017-3DM-image.jpg",
                "type": "image/jpeg",
                "size": 25757,
                "path": "Publication:OPPITZ-2017-3DM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "OPPITZ-2017-3DM-report.pdf",
                "type": "application/pdf",
                "size": 5299833,
                "path": "Publication:OPPITZ-2017-3DM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/OPPITZ-2017-3DM-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/OPPITZ-2017-3DM/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2017-dsn",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data-Sensitive Visual Navigation",
        "date": "2017-10",
        "abstract": "In visualization systems it is often the case that the changes of the input parameters are not proportional to the visual change of the generated output. In this paper, we propose a model for enabling data-sensitive navigation for user-interface elements. This model is applied to normalize the user input according to the visual change, and also to visually communicate this normalization. In this way, the exploration of heterogeneous data using common interaction elements can be performed in an efficient way. We apply our model to the field of medical visualization and present guided navigation tools for traversing vascular structures and for camera rotation around 3D volumes. The presented examples demonstrate that the model scales to user-interface elements where multiple parameters are set simultaneously.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1020,
            "image_height": 1020,
            "name": "mindek-2017-dsn-.png",
            "type": "image/png",
            "size": 700890,
            "path": "Publication:mindek-2017-dsn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            869,
            166,
            161
        ],
        "date_from": "2017-05-15",
        "date_to": "2017-05-17",
        "event": "SCCG 2017",
        "journal": "Computers & Graphics",
        "lecturer": [
            166
        ],
        "location": "Mikulov, Czech Republic",
        "number": "C",
        "pages_from": "77",
        "pages_to": "85",
        "volume": "67",
        "research_areas": [
            "MedVis",
            "Perception"
        ],
        "keywords": [
            "navigation",
            "exploration",
            "medical visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1020,
                "image_height": 1020,
                "name": "mindek-2017-dsn-.png",
                "type": "image/png",
                "size": 700890,
                "path": "Publication:mindek-2017-dsn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2017-dsn-Paper.pdf",
                "type": "application/pdf",
                "size": 952068,
                "path": "Publication:mindek-2017-dsn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/mindek-2017-dsn-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-dsn/",
        "__class": "Publication"
    },
    {
        "id": "preiner_2017_phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic and Probabilistic Point-Cloud Processing",
        "date": "2017-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1030,
            "image_height": 556,
            "name": "preiner_2017_phd-teaser.png",
            "type": "image/png",
            "size": 554220,
            "path": "Publication:preiner_2017_phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799
        ],
        "date_end": "2017",
        "date_start": "2010",
        "matrikelnr": "0430380",
        "reviewer_1": [
            1510
        ],
        "reviewer_2": [
            1511
        ],
        "rigorosum": "2017-10-13",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry",
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1030,
                "image_height": 556,
                "name": "preiner_2017_phd-teaser.png",
                "type": "image/png",
                "size": 554220,
                "path": "Publication:preiner_2017_phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner_2017_phd-thesis.pdf",
                "type": "application/pdf",
                "size": 223842034,
                "path": "Publication:preiner_2017_phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/preiner_2017_phd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/preiner_2017_phd/",
        "__class": "Publication"
    },
    {
        "id": "HU-2017-ETM",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Tree Modeling from Airborne LiDAR Point Clouds",
        "date": "2017-10",
        "abstract": "Modeling real-world trees is important in many application areas, including computer graphics, botany and forestry. An example of a modeling method is reconstruction from light detection and ranging (LiDAR) scans. In contrast to terrestrial LiDAR systems, airborne LiDAR systems – even current high-resolution systems – capture only very few samples on tree branches, which makes the reconstruction of trees from airborne LiDAR a challenging task. In this paper, we present a new method to model plausible trees with fine details from airborne LiDAR point clouds. To reconstruct tree models, first, we use a normalized cut method to segment an individual tree point cloud. Then, trunk points are added to supplement the incomplete point cloud, and a connected graph is constructed by searching sufficient nearest neighbors for each point. Based on the observation of real-world trees, a direction field is created to restrict branch directions. Then, branch skeletons are constructed using a bottom-up greedy algorithm with a priority queue, and leaves are arranged according to phyllotaxis. We demonstrate our method on a variety of examples and show that it can generate a plausible tree model in less than one second, in addition to preserving features of the original point cloud.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 864,
            "image_height": 502,
            "name": "HU-2017-ETM-teaser.png",
            "type": "image/png",
            "size": 759188,
            "path": "Publication:HU-2017-ETM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1467,
            1468,
            1469,
            1470,
            193
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "pages_from": "1",
        "pages_to": "13",
        "volume": "67",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "tree modeling",
            "LIDAR",
            "point clouds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "HU-2017-ETM-draft.pdf",
                "type": "application/pdf",
                "size": 17872780,
                "path": "Publication:HU-2017-ETM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 864,
                "image_height": 502,
                "name": "HU-2017-ETM-teaser.png",
                "type": "image/png",
                "size": 759188,
                "path": "Publication:HU-2017-ETM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/HU-2017-ETM-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/HU-2017-ETM/",
        "__class": "Publication"
    },
    {
        "id": "leimer_2017_rbpesc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Relation-Based Parametrization and Exploration of Shape Collections",
        "date": "2017-10",
        "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have emerged for both experienced and inexperienced users. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes. But exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes based on the variability of spatial arrangements between pairs of parts. The way in which shapes differ from each other is captured automatically, resulting in a small number of exploration parameters. Furthermore, a copy-and-paste system for parts allows the user to change the structure of a shape, making it possible to explore the entire collection from any initial shape.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2000,
            "image_height": 1267,
            "name": "leimer_2017_rbpesc-image.png",
            "type": "image/png",
            "size": 969130,
            "path": "Publication:leimer_2017_rbpesc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019,
            1292,
            193,
            844
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "pages_from": "127",
        "pages_to": "137",
        "volume": "67",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "3d database exploration",
            "Model variability",
            "Shape analysis",
            "Shape collections"
        ],
        "weblinks": [
            {
                "href": "https://doi.org/10.1016/j.cag.2017.07.001",
                "caption": "DOI",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2000,
                "image_height": 1267,
                "name": "leimer_2017_rbpesc-image.png",
                "type": "image/png",
                "size": 969130,
                "path": "Publication:leimer_2017_rbpesc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer_2017_rbpesc-preprint.pdf",
                "type": "application/pdf",
                "size": 14650651,
                "path": "Publication:leimer_2017_rbpesc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer_2017_rbpesc-video.mp4",
                "type": "video/mp4",
                "size": 32483590,
                "path": "Publication:leimer_2017_rbpesc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/leimer_2017_rbpesc-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/leimer_2017_rbpesc/",
        "__class": "Publication"
    },
    {
        "id": "Diehl-2017-Albero",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting",
        "date": "2017-10",
        "abstract": "Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog\nregression method can quantify uncertainties and express them as probabilities. The method comprises the analysis of errors\nfrom a large database of past forecasts generated with a specific numerical model and observational data. Current visualization\ntools based on this method are essentially automated and provide limited analysis capabilities. In this paper, we propose a novel\napproach that breaks down the automatic process using the experience and knowledge of the users and creates a new interactive\nvisual workflow. Our approach allows forecasters to study probabilistic forecasts, their inner analogs and observations, their\nassociated spatial errors, and additional statistical information by means of coordinated and linked views. We designed the\npresented solution following a participatory methodology together with domain experts. Several meteorologists with different\nbackgrounds validated the approach. Two case studies illustrate the capabilities of our solution. It successfully facilitates the\nanalysis of uncertainty and systematic model biases for improved decision-making and process-quality measurements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1121,
            1396,
            1122,
            235,
            166,
            161
        ],
        "date_from": "2017",
        "date_to": "2017",
        "doi": "10.1111/cgf.13279",
        "event": "Pacific Graphics 2017",
        "journal": "Computer Graphics Forum 36(7) 135-144 (2017)",
        "lecturer": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Diehl-2017-Albero-paper.pdf",
                "type": "application/pdf",
                "size": 29579036,
                "path": "Publication:Diehl-2017-Albero",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/Diehl-2017-Albero-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Diehl-2017-Albero/",
        "__class": "Publication"
    },
    {
        "id": "weinzierl_heigl-2017-wh14",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptively Clustered Reflective Shadow Maps",
        "date": "2017-10",
        "abstract": "The content of this thesis is to extend an existing real-time global illumination technique that uses Virtual Area Lights (VALs) for indirect illumination in combination with point-based shadow maps, so called Imperfect Shadow Maps (ISMs) to generate corresponding soft indirect shadows. A clustering algorithm inspired by k-Means creates VAL-clusters in light space, which are updated on a frame-by-frame basis. In this talk we will present concepts and techniques to eliminate some of the constraints and limitations of the existing solution as well as incorporating new ideas to make the algorithm more robust for larger, more complex and dynamic scenes.   ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 846,
            "image_height": 708,
            "name": "weinzierl_heigl-2017-wh14-image.png",
            "type": "image/png",
            "size": 221180,
            "path": "Publication:weinzierl_heigl-2017-wh14",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1004
        ],
        "date_end": "2017-10-05",
        "date_start": "2013-10-01",
        "diploma_examina": "2017-10-05",
        "matrikelnr": "0625044",
        "supervisor": [
            799,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "VAL",
            "ISM",
            "Virtual Area Lights",
            "Global Illumination",
            "Imperfect Shadow Maps"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 846,
                "image_height": 708,
                "name": "weinzierl_heigl-2017-wh14-image.png",
                "type": "image/png",
                "size": 221180,
                "path": "Publication:weinzierl_heigl-2017-wh14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weinzierl_heigl-2017-wh14-poster.pdf",
                "type": "application/pdf",
                "size": 4294712,
                "path": "Publication:weinzierl_heigl-2017-wh14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weinzierl_heigl-2017-wh14-thesis.pdf",
                "type": "application/pdf",
                "size": 5044435,
                "path": "Publication:weinzierl_heigl-2017-wh14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/weinzierl_heigl-2017-wh14-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/weinzierl_heigl-2017-wh14/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2017-China2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "From Visualization to Decision Support",
        "date": "2017-09-29",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "2017-09-29",
        "event": "2nd International Forum on VR Visual Computing Technologies",
        "location": "Hangzhou, China",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China2/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2017-China1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "From Visualization to Decision Support",
        "date": "2017-09-28",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2017-09-28",
        "event": "Virtual Reality and Visual Computing International Forum",
        "location": "Nanjing, China",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-China1/",
        "__class": "Publication"
    },
    {
        "id": "pointner_michael-2017-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi-Focal Image Generation using Automatic Depth-Based Focus Selection",
        "date": "2017-09-28",
        "abstract": "One of the most important objectives in photography is the sharpness of the whole\nimage, which is not so easy to achieve because of the physical properties of a camera lens.\nDue to Google’s new Tango API, which enables the perception of depth information on\nsmartphones, we have evaluated the usability of this new technology for the generation of\nall-sharp images through multi-focus with the Lenovo Phab 2 Pro as the first smartphone\nto support this technology.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image vs. depth image",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 510,
            "image_height": 440,
            "name": "pointner_michael-2017-baa-image.png",
            "type": "image/png",
            "size": 331005,
            "path": "Publication:pointner_michael-2017-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1535
        ],
        "date_end": "2017-08-31",
        "date_start": "2017-03-01",
        "matrikelnr": "01427791",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "all-in-focus",
            "focus selection",
            "image stitching"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Image vs. depth image",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 510,
                "image_height": 440,
                "name": "pointner_michael-2017-baa-image.png",
                "type": "image/png",
                "size": 331005,
                "path": "Publication:pointner_michael-2017-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pointner_michael-2017-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 30588625,
                "path": "Publication:pointner_michael-2017-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/pointner_michael-2017-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/pointner_michael-2017-baa/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2017-AMOS",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Matter of Scale",
        "date": "2017-09-28",
        "abstract": "Scale and scalability have been recurring topics in our field. Recent developments like smart data, machine learning, and advances in domains like biology, cartography, smart communities, and communication pose novel challenges to scalability and use of scale. Examples include scale-transparent visual computing, cross-scale visualization and interaction, massive multi-scale techniques, scale integration, cross-scale labeling and annotation, cross scales on structure and dynamics, and continuous scales",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2017-09-28",
        "date_to": "2017-09-28",
        "event": "Molecular Animation Summit",
        "lecturer": [
            166
        ],
        "location": "University of Utah, SCI",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AMOS/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2017-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integration Strategies in the Visualization of Multifaceted Spatial Data",
        "date": "2017-09-26",
        "abstract": "Visualization designers have several visual channels at their disposal for encoding data into visual representations, e.g., position, size, shape, orientation, color, texture, brightness, as well as motion. The mapping of attributes to visual channels can be chosen by the designer. In theory, any data attribute can be represented by any of these visual channels or by a combination of multiple of these channels. In practice, the optimal mapping and the most suitable type of visualization strongly depend on the data as well as on the user's task. In the visualization of spatial data, the mapping of spatial attributes to visual channels is inherently given by the data. Multifaceted spatial data possesses a wide range of additional (non-spatial) attributes without a given mapping. The data's given spatial context is often important for successfully fulfilling a task. The design space in spatial data visualization can therefore be heavily constrained when trying to choose an optimal mapping for other attributes within the spatial context. To solve an exploration or presentation task in the domain of multifaceted spatial data, special strategies have to be employed in order to integrate the essential information from the various data facets in an appropriate representation form with the spatial context.\nThis thesis explores visualization integration strategies for multifaceted spatial data. The first part of this thesis describes the design space of integration in terms of two aspects: visual and functional integration. Visual integration describes how representations of the different data facets can be visually composed within a spatial context. Functional integration, describes how events that have been triggered, for instance, through user interaction, can be coordinated across the various visually integrated representations.\nThe second part of this thesis describes contributions to the field of visualization in the context of concrete integration applications for exploration and presentation scenarios. The first scenario addresses a set of challenges in the exploratory analysis of multifaceted spatial data in the scope of a decision making scenario in lighting design. The user's task is to find an optimal lighting solution among dozens or even hundreds of potential candidates. In the scope of a design study, the challenges in lighting design are addressed with LiteVis, a system that integrates representations of the simulation parameter space with representations of all relevant aspects of the simulation output. The integration of these heterogeneous aspects together with a novel ranking visualization are thereby the key to enabling an efficient exploration and comparison of lighting parametrizations.\nIn presentation scenarios, the generation of insights often cannot rely on user interaction and therefore needs a different approach. The challenge is to generate visually appealing, yet information-rich representations for mainly passive observation. In this context, this thesis addresses two different challenges in the domain of molecular visualization. The first challenge concerns the conveying of relations between two different representations of a molecular data set, such as a virus. The relation is established via animated transitions - a temporal form of integration between two representations. The proposed solution features a novel technique for creating such transitions that are re-usable for different data sets, and can be combined in a modular fashion. \nAnother challenge in presentation scenarios of multifaceted spatial data concerns the presentation of the transition between development states of molecular models, where the actual biochemical process of the transition is not exactly known or it is too complex to represent. A novel technique applies a continuous abstraction of both model representations to a level of detail at which the relationship between them can be accurately conveyed, in order to overcome a potential indication of false relationship information. Integration thereby brings the different abstraction levels and the different model states into relation with each other. The results of this thesis clearly demonstrate that integration is a versatile tool in overcoming key challenges in the visualization of multifaceted spatial data.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "overview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1768,
            "image_height": 1186,
            "name": "sorger-2017-thesis-overview.png",
            "type": "image/png",
            "size": 836988,
            "path": "Publication:sorger-2017-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072
        ],
        "co_supervisor": [
            166
        ],
        "date_end": "2017",
        "date_start": "2013",
        "reviewer_1": [
            196
        ],
        "reviewer_2": [
            1248
        ],
        "rigorosum": "2017-11-22",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "IllVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "overview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1768,
                "image_height": 1186,
                "name": "sorger-2017-thesis-overview.png",
                "type": "image/png",
                "size": 836988,
                "path": "Publication:sorger-2017-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-overview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2017-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 48970349,
                "path": "Publication:sorger-2017-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/sorger-2017-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger-2017-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Dietrich_1",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "SirTom - Structural information retaining Triangle-based Occlusion Management",
        "date": "2017-09-18",
        "abstract": "As cutaway occlusion management techniques are always bound to a certain degree of\ninformation loss and other occlusion management solutions do not always yield good results, specifically in regards to dense molecular assemblies like the ones displayed in CellVIEW. This makes it desirable to devise a strategy which optimizes cutaway techniques to retain more information. SirTom focuses on retaining as much information about structures inside such assemblies as possible by creating a cutaway strategy that opts to give them a mesh-like appearance. This is done by creating a mesh and then deciding via probability which molecules are more likely to retain this information in a pseudo-random fashion. SirTom grants the possibility to gain insight with less removed particles and is such a helpful algorithm for visualizing occluding surface structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 432,
            "image_height": 397,
            "name": "Dietrich_1-image.JPG",
            "type": "image/jpeg",
            "size": 38147,
            "path": "Publication:Dietrich_1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1384
        ],
        "date_end": "2017-09-18",
        "date_start": "2016-10",
        "matrikelnr": "1026167",
        "supervisor": [
            166
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Dietrich_1-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 5617700,
                "path": "Publication:Dietrich_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 432,
                "image_height": 397,
                "name": "Dietrich_1-image.JPG",
                "type": "image/jpeg",
                "size": 38147,
                "path": "Publication:Dietrich_1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/Dietrich_1-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Dietrich_1/",
        "__class": "Publication"
    },
    {
        "id": "JORDAKIEVA-2017-VFR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Filter Rules in Autonomous Software-Agents",
        "date": "2017-09-11",
        "abstract": "SiMA (Simulation of the Mental Apparatus &amp; Applications) is an interdisciplinary project, in which technicians and psychoanalysts cooperatively develop an implementable model of a decision-making unit based on the human psychological apparatus. Particular attention is attributed to designing the developed system akin to the human model in its functions (and its behavior). This includes the im-plementation of social rules and defense mechanisms. Together they form a bionically inspired filter mechanism for the agent's sensory data. The filter mechanism allows the user to identify and resolve conflicts arising between the agent’s perception and goals or implemented social rules. In this work, the SiMA project is further developed iteratively, following a use-case-driven methodo-logical approach. The basis is psychoanalytic use cases, which depict human behavior. The current use case revolves around the refinement of defense mechanisms. To fulfill this use case it is necessary to enhance the defense mechanisms to the next development stage. This includes the formulation of filter rules, knowledge representation for mapping these filter rules and validating their visualization possibilities and their influence on decision making. Additionally, the infrastructure for implementing the current use case has to be advanced further in order to enable validation with the entire system. This necessitates the development of an inventory system and new actions for the agent. After analyzing different input possibilities and knowledge representations regarding their suitability for the SiMA model, it could be shown that no existing model meets the specific requirements for flexibility and legibility. As a result, a separate input and memory format was developed for the filter rules and integrated into the existing model. The approach was embedded into the existing Java im-plementation of the SiMA model and tested in a multi-agent simulation environment (MASON). The simulation results supported eligibility of the newly developed rule format and highlighted the poten-tial applications for the use of this bionically inspired filter mechanism.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1240,
            "image_height": 1109,
            "name": "JORDAKIEVA-2017-VFR-image.jpg",
            "type": "image/jpeg",
            "size": 132493,
            "path": "Publication:JORDAKIEVA-2017-VFR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1565
        ],
        "date_end": "2017-09-11",
        "date_start": "2017-07-10",
        "diploma_examina": "2017-09-11",
        "matrikelnr": "00106532",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1240,
                "image_height": 1109,
                "name": "JORDAKIEVA-2017-VFR-image.jpg",
                "type": "image/jpeg",
                "size": 132493,
                "path": "Publication:JORDAKIEVA-2017-VFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JORDAKIEVA-2017-VFR-poster.pdf",
                "type": "application/pdf",
                "size": 599627,
                "path": "Publication:JORDAKIEVA-2017-VFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JORDAKIEVA-2017-VFR-thesis.pdf",
                "type": "application/pdf",
                "size": 4390084,
                "path": "Publication:JORDAKIEVA-2017-VFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/JORDAKIEVA-2017-VFR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JORDAKIEVA-2017-VFR/",
        "__class": "Publication"
    },
    {
        "id": "Viola-Pondering-2017",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pondering the Concept of Abstraction in (Illustrative) Visualization",
        "date": "2017-09-04",
        "abstract": "We explore the concept of abstraction as it is used in visualization, with the ultimate goal of understanding and formally defining it. Researchers so far have used the concept of abstraction largely by intuition without a precise meaning. This lack of specificity\nleft questions on the characteristics of abstraction, its variants, its control, or its ultimate potential for visualization and, in particular, illustrative visualization mostly unanswered. In this paper we thus provide a first formalization of the abstraction concept and discuss how this formalization affects the application of abstraction in a variety of visualization scenarios. Based on this discussion, we derive a number of open questions still waiting to be answered, thus formulating a research agenda for the use of abstraction for the visual representation and exploration of data. This paper, therefore, is intended to provide a contribution to the discussion of the theoretical foundations of our field, rather than attempting to provide a completed and final theory.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 4283,
            "image_height": 3539,
            "name": "Viola-Pondering-2017-image.jpg",
            "type": "image/jpeg",
            "size": 447826,
            "path": "Publication:Viola-Pondering-2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            960
        ],
        "date_from": "2017",
        "date_to": "2018",
        "doi": "10.1109/TVCG.2017.2747545",
        "event": "Eurovis 2018",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            171,
            960
        ],
        "number": "99",
        "open_access": "yes",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4283,
                "image_height": 3539,
                "name": "Viola-Pondering-2017-image.jpg",
                "type": "image/jpeg",
                "size": 447826,
                "path": "Publication:Viola-Pondering-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-Pondering-2017-paper.pdf",
                "type": "application/pdf",
                "size": 61554037,
                "path": "Publication:Viola-Pondering-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/Viola-Pondering-2017-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Viola-Pondering-2017/",
        "__class": "Publication"
    },
    {
        "id": "dodik-2017-pcbpt",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing Probabilistic Connections for Bidirectional Path Tracing in the Mitsuba Renderer",
        "date": "2017-09-03",
        "abstract": "Light transport simulation algorithms are remarkably adept at recreating a large variety of light phenomena which occur in nature. As such they have seen widespread adoption across the industry, which made it paramount to create efficient and robust algorithms. One recent algorithm which tries to deal with this problem is known as Probabilistic Connections for Bidirectional Path Tracing (PCBPT). It builds upon the classical Bidirectional Path Tracing (BDPT) algorithm. In Bidirectional Path Tracing, a ray is traced from the sensor as well as from the emitter. The two rays are then connected to calculate the light contribution to image pixels. PCBPT extends this idea to support connecting multiple emitter paths to one sensor subpath, and introduces importance sampling as a way of choosing the most suitable emitter paths. Unfortunately, there was no implementation of PCBPT publically available, which is why we implemented it into the open-source Mitsuba renderer. We evaluate the algorithm against standard BDPT on a variety of different scenes. Our comparisons provide insight into what type of scenes PCBPT can help improve and where the additional computational cost presents too much of an overhead.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 720,
            "name": "dodik-2017-pcbpt-teaser.png",
            "type": "image/png",
            "size": 2185009,
            "path": "Publication:dodik-2017-pcbpt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1500
        ],
        "date_end": "2017-09-03",
        "date_start": "2017-05-23",
        "matrikelnr": "01328690",
        "supervisor": [
            1129,
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "physically based rendering",
            "Monte Carlo rendering",
            "bidirectional path tracing",
            "probabilistic connections for bidirectional path tracing",
            "Mitsuba",
            "importance sampling"
        ],
        "weblinks": [
            {
                "href": "https://dodiknikola.github.io/publication/prob-conns/",
                "caption": "Author's Web Page",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Equal time comparison of the inner paths of BDPT (top-left) and PCBPT (bottom-right). PCBPT produces significantly less noise than BDPT due to importance sampling connections.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "dodik-2017-pcbpt-teaser.png",
                "type": "image/png",
                "size": 2185009,
                "path": "Publication:dodik-2017-pcbpt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dodik-2017-pcbpt-thesis.pdf",
                "type": "application/pdf",
                "size": 47619478,
                "path": "Publication:dodik-2017-pcbpt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/dodik-2017-pcbpt-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/dodik-2017-pcbpt/",
        "__class": "Publication"
    },
    {
        "id": "erler_philipp-2017-phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Surface Reconstruction",
        "date": "2017-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Reconstruction, 3D representations",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1440,
            "image_height": 501,
            "name": "erler_philipp-2017-phd-image.png",
            "type": "image/png",
            "size": 221151,
            "path": "Publication:erler_philipp-2017-phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1395
        ],
        "date_end": "2026-02-11",
        "date_start": "2017-09",
        "duration": "3 years",
        "reviewer_1": [
            5558
        ],
        "reviewer_2": [
            1519
        ],
        "rigorosum": "2026-02-11",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "Surface Reconstruction",
            "Deep Learning",
            "Point Cloud"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Dissertation PDF",
                "filetitle": "dissertation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_philipp-2017-phd-dissertation.pdf",
                "type": "application/pdf",
                "size": 115758696,
                "path": "Publication:erler_philipp-2017-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-dissertation:thumb{{size}}.png"
            },
            {
                "description": "Reconstruction, 3D representations",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1440,
                "image_height": 501,
                "name": "erler_philipp-2017-phd-image.png",
                "type": "image/png",
                "size": 221151,
                "path": "Publication:erler_philipp-2017-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/erler_philipp-2017-phd-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition",
            "d4388",
            "Superhumans"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/erler_philipp-2017-phd/",
        "__class": "Publication"
    },
    {
        "id": "ZOTTI-2017-BM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Beyond 3D Models: Simulation of Temporally Evolving Models in Stellarium",
        "date": "2017-09",
        "abstract": "In recent years, the interactive visual exploration and demonstration of three-dimensional virtual models of buildings or natural structures of archaeoastronomical interest under a simulated sky has become available for users of the open-source desktop planetarium program Stellarium [Zotti, 2015, 2016]. Users can load an architectural model in the well-known OBJ format and walk around to explore sight lines or light-and-shadow interaction in present and past times [Frischer et al., 2016].\n\nHowever, until now, the model itself did not change in time, and loading models for various building phases (e.g., the assumed order of building the various standing stones, timber circles and stone circles of Stonehenge) always required a break in simulation and user interaction to load a model for the next phase. On the other hand, displaying a model under the sky of the wrong time may lead to inappropriate conclusions. Large-area models required considerable time to load, and loading caused a reset of location, so the user interested in changes in a certain viewing axis had to recreate that view again. Given that Stellarium is an “astronomical time machine”, nowadays capable of replaying sky vistas thousands of years ago with increasing accuracy [Zotti et al., submitted] and also for models with several million triangular faces, it seemed worth to explore possibilities to also show changes over time in the simulated buildings.\nThe Scenery3D plugin of Stellarium is, however, not a complete game engine, and replicating the infrastructure found in such game engines like Unity3D – for example to interactively move game objects, or load small sub-components like standing stones and place them at arbitrary coordinates – seemed overkill. The solution introduced here is remarkably simple and should be easily adoptable for the casual model-making researcher: the MTL material description for the model, a simple plain-text file that describes colour, reflection behaviour, photo-texture or transparency of the various parts of the object, can be extended for our rendering system. Newly introduced values describe dates where parts of the model can appear and disappear (with transitional transparency to allow for archaeological dating uncertainties). The model parts with these enhanced, time-aware materials appear to fade in during the indicated time, will be fully visible in their “active” time, and will fade out again when Stellarium is set to simulate the sky when the real-world structures most likely have vanished. The only requirement for the model creator is now to separate objects so that they receive unique materials that can then be identified and augmented with these entries in the MTL text file.\n\nThe advantages of this new feature should be clear: an observer can remain in a certain location in the virtual model and let the land- and skyscape change over decades or centuries, without the need to load new models. This allows the simulation of construction and reconstruction phases while still always keeping particularly interesting viewpoints unchanged, and will always show the matching sky for the most appropriate reconstruction phase of the model. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1331,
            "image_height": 467,
            "name": "ZOTTI-2017-BM-image.jpg",
            "type": "image/jpeg",
            "size": 45894,
            "path": "Publication:ZOTTI-2017-BM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            1093,
            193
        ],
        "booktitle": "25th SEAC Conference",
        "date_from": "2017-09-18",
        "date_to": "2017-09-22",
        "doi": "10.5281/zenodo.1477972",
        "event": "INSAP X – Oxford XI – SEAC 25th Joint Conference ‘ROAD TO THE STARS’",
        "issn": "1108-9628",
        "journal": "Mediterranean Archaeology and Archaeometry",
        "lecturer": [
            222
        ],
        "location": "Santiago de Compostela, Spain",
        "number": "4",
        "open_access": "yes",
        "pages_from": "501",
        "pages_to": "506",
        "volume": "18",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1331,
                "image_height": 467,
                "name": "ZOTTI-2017-BM-image.jpg",
                "type": "image/jpeg",
                "size": 45894,
                "path": "Publication:ZOTTI-2017-BM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ZOTTI-2017-BM-paper.pdf",
                "type": "application/pdf",
                "size": 518480,
                "path": "Publication:ZOTTI-2017-BM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/ZOTTI-2017-BM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-BM/",
        "__class": "Publication"
    },
    {
        "id": "FRAISS-2017-PCU",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Large Point Clouds in Unity",
        "date": "2017-09",
        "abstract": "In this thesis, a point-cloud renderer was developed in the game engine Unity. The focus lies especially on very big point clouds with several millions or billions of points, which cannot be loaded completely into memory. Special data structures and algorithms are needed to load and render continuously only the parts of the point-cloud that are relevant for the current camera position. The result is an efficient rendering system with variable settings and various rendering methods. The project is available on GitHub.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "frustum culling",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 927,
            "image_height": 522,
            "name": "FRAISS-2017-PCU-frustum culling.png",
            "type": "image/png",
            "size": 383642,
            "path": "Publication:FRAISS-2017-PCU",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1495
        ],
        "date_end": "2017-09",
        "date_start": "2017-04",
        "matrikelnr": "01425602",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point clouds",
            "unity"
        ],
        "weblinks": [
            {
                "href": "https://github.com/SFraissTU/BA_PointCloud",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 661,
                "image_height": 755,
                "name": "FRAISS-2017-PCU-.png",
                "type": "image/png",
                "size": 774729,
                "path": "Publication:FRAISS-2017-PCU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "frustum culling",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 927,
                "image_height": 522,
                "name": "FRAISS-2017-PCU-frustum culling.png",
                "type": "image/png",
                "size": 383642,
                "path": "Publication:FRAISS-2017-PCU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-frustum culling:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "FRAISS-2017-PCU-thesis.pdf",
                "type": "application/pdf",
                "size": 13428774,
                "path": "Publication:FRAISS-2017-PCU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/FRAISS-2017-PCU-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/FRAISS-2017-PCU/",
        "__class": "Publication"
    },
    {
        "id": "SIETZEN-2017-BBO",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Method for Automatically Animating the Reassembly of Arbitrary Voronoi-Fractured Objects",
        "date": "2017-09",
        "abstract": "In this paper I present a method to procedurally generate\nthe necessary data to animate 2 robots assembling an arbitrary\nVoronoi-fractured object without intersections. The\nmain problem of finding a possible assembly sequence is\ntackled using various methods of geometrical calculation\nand linear programming. The goal of this work is to automatically\ngenerate visually interesting animation which\ncan then be used for various scenarios, for example decorative\nvisuals or game scenery.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1168,
            "image_height": 498,
            "name": "SIETZEN-2017-BBO-image.png",
            "type": "image/png",
            "size": 674500,
            "path": "Publication:SIETZEN-2017-BBO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1373
        ],
        "date_end": "2017-09-22",
        "date_start": "2016-08-09",
        "matrikelnr": "0372194",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Paper published at CESCG 2017 for this thesis.",
                "filetitle": "cescg2017-paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SIETZEN-2017-BBO-cescg2017-paper.pdf",
                "type": "application/pdf",
                "size": 6832728,
                "path": "Publication:SIETZEN-2017-BBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-cescg2017-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1168,
                "image_height": 498,
                "name": "SIETZEN-2017-BBO-image.png",
                "type": "image/png",
                "size": 674500,
                "path": "Publication:SIETZEN-2017-BBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/SIETZEN-2017-BBO-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIETZEN-2017-BBO/",
        "__class": "Publication"
    },
    {
        "id": "Knapp_2017_CVR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Explorable Semiconductors: Interacting with Crystal Structures in Virtual Reality",
        "date": "2017-09",
        "abstract": "Due to Virtual Reality’s recent rise in popularity, other application areas apart from the entertainment sector have shown interest to use VR applications for their purposes. In this thesis, a VR simulation, which enables the user to maneuver an electron through a virtual semiconductor’s crystalline atomic structure, is devised on behalf of the Institute of Microelectronics at the TU Wien. The application is based upon the cellVIEW framework, which was developed using the Unity game engine to visualize large sets of biomolecular data in real time. At first, background regarding the topic at hand is provided by defining what VR is, how it is achieved and how it has evolved from Charles Wheatstone’s stereoscope to the HTC Vive VR system. Building upon that knowledge, the reader is introduced to the main problems that research in the field of Virtual Reality is currently facing, especially\nconsidering the avoidance of VR sickness. For the development of the simulation devised in the course of this thesis, two main obstacles had to be overcome: moving the user through the virtual world without causing discomfort and handling collisions between the electron and the thousands of atoms in the crystal structure without losing performance.\nTo address the first issue, related work is reviewed and drawn inspiration from. To avoid “vection”, movement in our simulation is limited to the forward direction and external forces are applied to a sphere representing the electron instead of influencing the user himself. To keep the frame-rate high despite the potentially large number of atoms in the virtual scene, a space-partitioning octree data-structure has been implemented.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 453,
            "image_height": 300,
            "name": "Knapp_2017_CVR-image.JPG",
            "type": "image/jpeg",
            "size": 37150,
            "path": "Publication:Knapp_2017_CVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1496
        ],
        "date_end": "2017-09-23",
        "date_start": "2017-02",
        "matrikelnr": "1327386",
        "supervisor": [
            1285
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Knapp_2017_CVR-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 8142737,
                "path": "Publication:Knapp_2017_CVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 453,
                "image_height": 300,
                "name": "Knapp_2017_CVR-image.JPG",
                "type": "image/jpeg",
                "size": 37150,
                "path": "Publication:Knapp_2017_CVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/Knapp_2017_CVR-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Knapp_2017_CVR/",
        "__class": "Publication"
    },
    {
        "id": "kroesl-2017-LiteMaker",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiteMaker: Interactive Luminaire Development using Progressive Photon Tracing and Multi-Resolution Upsampling",
        "date": "2017-09",
        "abstract": "Industrial applications like luminaire development (the creation of a luminaire in terms of geometry and material) or lighting design (the efficient and aesthetic placement of luminaires in a virtual scene) rely heavily on high realism and physically correct simulations. Using typical approaches like CAD modeling and offline rendering, this requirement induces long processing times and therefore inflexible workflows. In this paper, we combine a GPU-based progressive photon-tracing algorithm to accurately simulate the light distribution of a luminaire with a novel multi-resolution image-filtering approach that produces visually meaningful intermediate results of the simulation process. By using this method in a 3D modeling environment, luminaire development is turned into an interactive process, allowing for real-time modifications and immediate feedback on the light distribution. Since the simulation results converge to a physically plausible solution that can be imported as a representation of a luminaire into a light-planning software, our work contributes to combining the two former decoupled workflows of luminaire development and lighting design, reducing the overall production time and cost for luminaire manufacturers. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1650,
            "image_height": 1200,
            "name": "kroesl-2017-LiteMaker-image.jpg",
            "type": "image/jpeg",
            "size": 123349,
            "path": "Publication:kroesl-2017-LiteMaker",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030,
            659,
            678,
            193
        ],
        "booktitle": "Vision, Modeling & Visualization",
        "date_from": "2017-09-25",
        "date_to": "2017-09-27",
        "doi": "10.2312/vmv.20171253",
        "editor": "Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao",
        "event": "VMV 2017",
        "isbn": "978-3-03868-049-9",
        "lecturer": [
            1030
        ],
        "location": "Bonn, Germany",
        "pages_from": "1",
        "pages_to": "8",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Computing methodologies",
            "Ray tracing",
            "Image processing",
            "Mesh geometry models"
        ],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vmv20171253",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1650,
                "image_height": 1200,
                "name": "kroesl-2017-LiteMaker-image.jpg",
                "type": "image/jpeg",
                "size": 123349,
                "path": "Publication:kroesl-2017-LiteMaker",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-image:thumb{{size}}.png"
            },
            {
                "description": "author's version",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2017-LiteMaker-paper.pdf",
                "type": "application/pdf",
                "size": 9344654,
                "path": "Publication:kroesl-2017-LiteMaker",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kroesl-2017-LiteMaker-video.mp4",
                "type": "video/mp4",
                "size": 51946468,
                "path": "Publication:kroesl-2017-LiteMaker",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/kroesl-2017-LiteMaker-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kroesl-2017-LiteMaker/",
        "__class": "Publication"
    },
    {
        "id": "Michl_2017_CSV",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generation and Visualisation of Crystal Structures",
        "date": "2017-09",
        "abstract": "The semiconductor industry has been experiencing an inexorable upward trend since its emergence almost 60 years ago, with ever since advancing technology. The development of continually smaller chips makes it possible to integrate small everyday objects such as keys or watches into the digital world. An important component of these chips are transistors, which are built up internally of at least one semiconductor.\nThis thesis deals with these semiconductors and presents a 3D game developed with\nUnity3D, which makes it possible to take look inside a transistor and explore it interactively. The player therefore has control of an electron flying through the crystal. However, this flight through the crystal is not free from obstacles. In the middle of the structure there are consistently occurring oxide layers which, if the electrons speed is too low, prevent the passage and repel the electron. Only at a correspondingly high speed is it possible to tunnel trough them. However, the focus is on the fact that the user can adjust\nthe scene, partly interactively, by means of various parameters and thus can generate\nall possible semiconductor structures. This is not only suitable for viewing and learning different structural shapes and their symmetries, but also changes the playing experience and the degree of difficulty.\nThe implementation is based on cellVIEW, a tool for the visualization of extensive molecular structures, which allows us to perform high-performance rendering of semiconductor structures of often far more than 15 million atoms, which implies, as the results at the end of the work show, really impressively large crystals.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 364,
            "image_height": 390,
            "name": "Michl_2017_CSV-image.JPG",
            "type": "image/jpeg",
            "size": 37598,
            "path": "Publication:Michl_2017_CSV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1497
        ],
        "date_end": "2017-09",
        "date_start": "2017-03",
        "matrikelnr": "01425673",
        "supervisor": [
            1285
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 364,
                "preview_image_height": 390,
                "name": "Michl_2017_CSV-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 2891193,
                "path": "Publication:Michl_2017_CSV",
                "preview_name": "Michl_2017_CSV-Bachelor Thesis:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 37598,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 364,
                "image_height": 390,
                "name": "Michl_2017_CSV-image.JPG",
                "type": "image/jpeg",
                "size": 37598,
                "path": "Publication:Michl_2017_CSV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/Michl_2017_CSV-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Michl_2017_CSV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2017-AVC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Visual Computing",
        "date": "2017-08-31",
        "abstract": "Visual computing uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. Several adaptive visual computing approaches are discussed in detail. Data-sensitive navigation for user-interface elements is presented. The approach normalizes user input according to visual change, and also visually communicates this normalization. In this way, output-sensitive interactions can be realized. Quantitative and reproducible linking & brushing as integral part of visual analytics is approached through structured brushing, percentile brushes, linked statistics, and change visualization. Multiscale models, e.g., from structural biology, require multiscale dynamic color mapping with sometimes overlapping or contradicting colors. We present a technique, which adaptively, based on the current scale level, nonlinearly and seamlessly adjusts the color scheme to depict or distinguish the currently best visible structural information. Adaptive visual computing is addressing the amplified data complexity through increased scalability. Research challenges and directions are sketched at the end of the talk.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2017-08-31",
        "date_to": "2017-08-31",
        "event": "Visit of University of Konstanz",
        "location": "University of Konstanz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-AVC/",
        "__class": "Publication"
    },
    {
        "id": "LEOPOLD-2017-ALG",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Algorithmic Botany via Lindenmayer Systems in Blender",
        "date": "2017-08-29",
        "abstract": "Lindenmayer systems, or L-systems, are a well-established and thoroughly studied concept in the field of computer graphics. Originally introduced by theoretical botanist Aristid Lindenmayer to model the development of simple multicellular organisms, they are now commonly associated with the modeling of whole plants and complex branching structures. Various extensions such as stochastic, parametric and context-sensitive L-systems have been introduced to the formalism, allowing the modeling of stochastic, continuous growth and complex interactions of plant organisms with each other and with the external environment. More specialized interactive techniques are arguably better suited to more intuitively and predictably produce plant structures where artistic control is essential. Nonetheless, L-systems remain a fascinating and powerful methodology as they allow for the description of patterns of astonishing diversity via simple formal rules of production and graphical interpretation of the results. Small changes to these rules often yield unexpected but aesthetically fascinating results and the plethora of forms and patterns thus produced constitute a subject of study that is highly worthwhile in itself.\n\nThe focus of this work is not to present novel techniques for the aesthetic or biological modeling of plants. This work aims at integrating the existing formalism of parametric, context-sensitive L-systems in a widely used open-source computer graphics software like Blender in the form of an add-on, as well as to discuss the potential advantages of such an integration. In this regard, special consideration is given to allow the modeling of environmental interaction of a growing structure with a Blender scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 589,
            "image_height": 395,
            "name": "LEOPOLD-2017-ALG-image.jpg",
            "type": "image/jpeg",
            "size": 31455,
            "path": "Publication:LEOPOLD-2017-ALG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1491
        ],
        "date_end": "2017-08-09",
        "date_start": "2016-03-04",
        "matrikelnr": "1327344",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "l-systems",
            "algorithmic botany"
        ],
        "weblinks": [
            {
                "href": "https://github.com/mangostaniko/lpy-lsystems-blender-addon",
                "caption": "Source code repository",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 589,
                "image_height": 395,
                "name": "LEOPOLD-2017-ALG-image.jpg",
                "type": "image/jpeg",
                "size": 31455,
                "path": "Publication:LEOPOLD-2017-ALG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LEOPOLD-2017-ALG-thesis.pdf",
                "type": "application/pdf",
                "size": 5048736,
                "path": "Publication:LEOPOLD-2017-ALG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/LEOPOLD-2017-ALG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/LEOPOLD-2017-ALG/",
        "__class": "Publication"
    },
    {
        "id": "koeppel-2016-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extracting Noise Models – considering X / Y and Z Noise",
        "date": "2017-08-28",
        "abstract": "We have developed two different test setups allowing the characterization of noise in X,\nY and Z direction for the KinectV2 and the Phab2Pro depth sensors. We have combined\nthese two methods, generating a single noise model allowing a prediction of the amount of\nnoise in specific areas of an image in the three respective directions at a certain distance\nand rotation. We have conducted two test setups and measured the noise from 900 mm\nto 3.100 mm for the generation of the noise models. The test setup of this thesis focused\non determining the noise in X, Y and Z direction, covering the whole frustum of the\nrespective depth sensor. In this thesis, Z noise was measured against a wall and X and\nY noises were measured using a 3D chequerboard that was shifted through the room,\nallowing the above mentioned coverage of the whole frustum. Along the edges of the\ncells of the chequerboard, the X and Y noise was measured. The combined model was\nevaluated by using a solid cube to classify the quality of our noise model.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Camera calibration prior to extraction of depth values",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 443,
            "image_height": 316,
            "name": "koeppel-2016-baa-image.png",
            "type": "image/png",
            "size": 133989,
            "path": "Publication:koeppel-2016-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1367
        ],
        "co_supervisor": [
            193
        ],
        "date_end": "2017-08-28",
        "date_start": "2016-06-17",
        "duration": "4 months",
        "matrikelnr": "01327052",
        "note": "1",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "noise model",
            "surface reconstruction",
            "sensor noise"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Camera calibration prior to extraction of depth values",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 443,
                "image_height": 316,
                "name": "koeppel-2016-baa-image.png",
                "type": "image/png",
                "size": 133989,
                "path": "Publication:koeppel-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koeppel-2016-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 8955320,
                "path": "Publication:koeppel-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/koeppel-2016-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/koeppel-2016-baa/",
        "__class": "Publication"
    },
    {
        "id": "grossmann-2016-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extracting Sensor Specific Noise Models",
        "date": "2017-08-28",
        "abstract": "With the growing number of consumer-oriented depth sensors like the Kinect or the\nnewly released Phab2Pro, the question of how precise these sensors are arises. In this\nthesis we want to evaluate the average noise in the generated depth measurements in\nboth the axial direction and the lateral directions. As part of a two-part project this\nthesis will view the noise’s development with varying distance and angle. Finally, we\nwill present and evaluate two models describing the noise behavior, with the first being\nderived from solely this thesis’ measurements and the second one being a combination of\nthe previous model and a model of a colleague. This derived models can be used in a\npost-processing step to filter the generated depth images.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Kinect v2 and Phab2Pro noise model evaluation",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 504,
            "image_height": 606,
            "name": "grossmann-2016-baa-image.png",
            "type": "image/png",
            "size": 217008,
            "path": "Publication:grossmann-2016-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366
        ],
        "co_supervisor": [
            193
        ],
        "date_end": "2017-08-28",
        "date_start": "2016-06-17",
        "duration": "4 months",
        "matrikelnr": "01325103",
        "note": "1",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "noise model",
            "surface reconstruction",
            "sensor noise"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Kinect v2 and Phab2Pro noise model evaluation",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 504,
                "image_height": 606,
                "name": "grossmann-2016-baa-image.png",
                "type": "image/png",
                "size": 217008,
                "path": "Publication:grossmann-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grossmann-2016-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 12775551,
                "path": "Publication:grossmann-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/grossmann-2016-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/grossmann-2016-baa/",
        "__class": "Publication"
    },
    {
        "id": "brandstaetter_01",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementation and Evaluation of a Fish-Eye Lens for Interactive Visualization of Features in Volumetric Datasets",
        "date": "2017-08-23",
        "abstract": "The exploration of data visualisations has become an important task and already reaches beyond scientific purposes. Especially, in material sciences and related industries, data analysis is crucial for the detection of possible error sources or weak spots, that occurred during fabrication, to meet the required quality criteria. open_iA is an open source software that offers such data analysis of computed tomography material data.\nThis thesis addresses the topic of data exploration by implementing and integrating a 2D fish-eye lens into open_iA. The fish-eye lens has been chosen due to its magnification characteristics, that provide focus and context at the same time. The distinct distortion of the fish-eye lens was achieved by applying a thin-plate spline (TPS2) transformation to the dataset.\nBeside the fish-eye lens, there exist many more magic lenses for different kinds of datasets and purposes, which will be introduced in a few words. Furthermore, the hard- and software requirements for the fish-eye lens as well as general design concepts are defined.\nThen, a detailed explanation of the thin-plate spline transformation and its algorithm is given and illustrated with example datasets and step-by-step calculations. Finally, the fish-eye lens is tested for its functionality and usability with material datasets.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 318,
            "image_height": 291,
            "name": "brandstaetter_01-image.JPG",
            "type": "image/jpeg",
            "size": 29592,
            "path": "Publication:brandstaetter_01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1502
        ],
        "date_end": "2017-08-23",
        "date_start": "2017-02",
        "matrikelnr": "01326465",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandstaetter_01-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 4447464,
                "path": "Publication:brandstaetter_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 318,
                "image_height": 291,
                "name": "brandstaetter_01-image.JPG",
                "type": "image/jpeg",
                "size": 29592,
                "path": "Publication:brandstaetter_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/brandstaetter_01-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/brandstaetter_01/",
        "__class": "Publication"
    },
    {
        "id": "ESBERGER-2016-AHO",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A History of Austrian Computer Games",
        "date": "2017-08-22",
        "abstract": "Videospiele sind nicht nur eine der modernsten Unterhaltungs- und Kunstmedien, sondern\nauch eine der am schnelllebigsten. Trotz der Tatsache, dass erst seit 45 Jahren Videospiele\nexistieren, sind bereits viele Informationen darüber verloren gegangen. In Österreich\nbegann der Videospiele-Boom erst um 1990 herum, trotzdem sind auch hier schon viele\nInformationen verloren gegangen. Diese Arbeit soll auf den folgenden Seiten zeigen,\nwie das Projekt ”A History of Austrian Computer Games” durchgeführt wurde, um\nInformationen über die österreichische Spiellandschaft zu erhalten. Unter anderem wurde\ndazu ein Webauftritt erstellt, welcher die Spielegeschichte in einer Datenbank festhält\nund öffentlich verfügbar macht. Interviews von Gründer und Entwickler der damaligen\nSzene zeigen aber auch die persönliche Sicht auf die Ereignisse der Vergangenheit.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 200,
            "name": "ESBERGER-2016-AHO-image.png",
            "type": "image/png",
            "size": 37734,
            "path": "Publication:ESBERGER-2016-AHO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1374
        ],
        "date_end": "2017-08-22",
        "date_start": "2016-08-12",
        "matrikelnr": "1325696",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://austriangames.at/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 200,
                "name": "ESBERGER-2016-AHO-image.png",
                "type": "image/png",
                "size": 37734,
                "path": "Publication:ESBERGER-2016-AHO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ESBERGER-2016-AHO-thesis.pdf",
                "type": "application/pdf",
                "size": 1157831,
                "path": "Publication:ESBERGER-2016-AHO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/ESBERGER-2016-AHO-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ESBERGER-2016-AHO/",
        "__class": "Publication"
    },
    {
        "id": "Zusag-2017-Bach",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deep Learning Architectures for vessel Segmentation in 2D and 3D Biomedical Images",
        "date": "2017-08",
        "abstract": "The aim of this thesis is to describe deep learning approaches for vessel segmentation in 2 and 3-dimensional biomedical images and the results achieved from these approaches on specific sets of data. The first chapter introduces the objective of this thesis, describes the data, which was used for the training, gives a short overview of machine learning and covers some theoretical aspects of artificial neural networks and especially of convolutional neural networks. The second chapter describes methods that were used for achieving the segmentation in 2 and 3 dimensions, like preprocessing of the images, algorithmic approaches, and general project set-up. The third and final chapter focuses on the results of methods described in chapter 2, contains personal advice for future approaches for improving the algorithm’s results and discusses the results. The thesis provides the theory, code snippets for the most fundamental part of the algorithms’ implementations and shows graphical, as well as numerical results of the approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 481,
            "image_height": 151,
            "name": "Zusag-2017-Bach-image.JPG",
            "type": "image/jpeg",
            "size": 20848,
            "path": "Publication:Zusag-2017-Bach",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1486
        ],
        "date_end": "2017",
        "date_start": "2016",
        "matrikelnr": "1427881",
        "supervisor": [
            190
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Zusag-2017-Bach-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 11031231,
                "path": "Publication:Zusag-2017-Bach",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 481,
                "image_height": 151,
                "name": "Zusag-2017-Bach-image.JPG",
                "type": "image/jpeg",
                "size": 20848,
                "path": "Publication:Zusag-2017-Bach",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/Zusag-2017-Bach-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Zusag-2017-Bach/",
        "__class": "Publication"
    },
    {
        "id": "stappen_2017_animatedcomic",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hybrid Frames - Animated Narrative Sequences in Molecular Visualization",
        "date": "2017-08",
        "abstract": "In bio-molecular visualizations animations are used to convey transitions between different representation states. For example, to understand the transition from a physical correct representation of a HIV molecule to an abstract visualization like a bar chart, an animation can be used. This method allows to trace the structures during the transition and therefore brings them into a direct relation. The disadvantage of an animation is that the presented content is ﬂeeting. Therefore, the change over time cannot be compared or investigated in detail. To mitigate this disadvantage, we propose a hybrid visualization composed of an animation and a series of still images. The series of still images allows an overview over the transition and comparison of states, but the relation of the representations may get lost. For this reason, the animation is used. By clicking on a single frame inside the sequence the animation is played starting from the selected frame to the next frame in the sequence. The expressiveness of the narrative sequence of images is determined by the selected images. Therefore, we adapted Key Probe, an object based key frame extraction method developed by Huang et al., to be operable on molecular data. Molecular data consists of thousands of protein instances and is therefore challenging for object based key frame extraction methods. We introduced several optimization techniques to Key Probe. We show that the adapted Key Probe returns reasonable result within a reasonable computation time. The so extracted key frames are then displayed in a sequence of images together with a 3D animated view of the molecular data. This allows, additionally to the fast overview, an in-depth exploration of a speciﬁc sub-sequence of the animation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 848,
            "image_height": 392,
            "name": "stappen_2017_animatedcomic-teaser.png",
            "type": "image/png",
            "size": 324410,
            "path": "Publication:stappen_2017_animatedcomic",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1406
        ],
        "date_end": "2017-08-22",
        "date_start": "2016-09-02",
        "matrikelnr": "1392020",
        "supervisor": [
            1072
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 848,
                "image_height": 392,
                "name": "stappen_2017_animatedcomic-teaser.png",
                "type": "image/png",
                "size": 324410,
                "path": "Publication:stappen_2017_animatedcomic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-teaser:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stappen_2017_animatedcomic-thesis.pdf",
                "type": "application/pdf",
                "size": 11955139,
                "path": "Publication:stappen_2017_animatedcomic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/stappen_2017_animatedcomic-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/stappen_2017_animatedcomic/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2017-PTPMD",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics",
        "date": "2017-07-24",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1254,
            1189,
            166,
            171,
            1248
        ],
        "date_from": "2017-07-24",
        "date_to": "2017-07-24",
        "event": "BioVis@ISMB 2017",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-PTPMD/",
        "__class": "Publication"
    },
    {
        "id": "ERLER-2017-HVR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Haptic Feedback in Room-Scale VR",
        "date": "2017-07-18",
        "abstract": "Virtual reality (VR) is now becoming a mainstream medium. Current systems like the HTC Vive offer accurate tracking of the HMD and controllers, which allows for highly immersive interactions with the virtual environment. The interactions can be further enhanced by adding feedback. As an example, a controller can vibrate when it is close to a grabbable ball. \n\nAs such interactions are not exhaustingly researched, we conducted a user study. Specifically, we examine:\n\n- grabbing and throwing with controllers in a simple basketball game.\n\n- the influence of haptic and optical feedback on performance, presence, task load, and usability.\n\n- the advantages of VR over desktop for point-cloud editing.\n\nSeveral new techniques emerged from the point-cloud editor for VR. The bi-manual pinch gesture, which extends the handlebar metaphor, is a novel viewing method used to translate, rotate, and scale the point-cloud. Our new rendering technique uses the geometry shader to draw sparse point clouds quickly. The selection volumes at the controllers are our new technique to efficiently select points in point clouds. The resulting selection is visualized in real time.\n\nThe results of the user study show that:\n\n- grabbing with a controller button is intuitive but throwing is not. Releasing a button is a bad metaphor for releasing a grabbed virtual object in order to throw it.\n\n- any feedback is better than none. Adding haptic, optical, or both feedback types to the grabbing improves the user performance and presence. However, only sub-scores like accuracy and predictability are significantly improved. Usability and task load are mostly unaffected by feedback.\n\n- the point-cloud editing is significantly better in VR with the bi-manual pinch gesture and selection volumes than on the desktop with the orbiting camera and lasso selections.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "point cloud selection",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 900,
            "name": "ERLER-2017-HVR-point cloud selection.png",
            "type": "image/png",
            "size": 920489,
            "path": "Publication:ERLER-2017-HVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1395
        ],
        "date_end": "2017",
        "date_start": "2016",
        "diploma_examina": "2017-08-17",
        "matrikelnr": "01426424",
        "supervisor": [
            193,
            1116
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "virtual reality, room-scale VR, throwing, grabbing, physics, basketball, haptic feedback, optical feedback, controllers, point cloud, point-cloud editing, presence, performance, usability, task load"
        ],
        "weblinks": [
            {
                "href": "https://github.com/ErlerPhilipp/VR_DA",
                "caption": "VR Apps Repo",
                "description": "This is the repo containing the basketball game, the feedback tester and the point cloud editor.",
                "main_file": 1
            },
            {
                "href": "https://bitbucket.org/PhErler/surveyanalyzer/src/master/",
                "caption": "Analyzer Repo",
                "description": "This is the self-written tool to analyze the survey results statistically.",
                "main_file": 1
            },
            {
                "href": "https://philipperler.net/2017/06/13/haptic-feedback-in-room-scale-vr/",
                "caption": "P++ VR DA",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "point cloud selection",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 900,
                "name": "ERLER-2017-HVR-point cloud selection.png",
                "type": "image/png",
                "size": 920489,
                "path": "Publication:ERLER-2017-HVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-point cloud selection:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "ERLER-2017-HVR-poster.pdf",
                "type": "application/pdf",
                "size": 6221471,
                "path": "Publication:ERLER-2017-HVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ERLER-2017-HVR-thesis.pdf",
                "type": "application/pdf",
                "size": 15825861,
                "path": "Publication:ERLER-2017-HVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/ERLER-2017-HVR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ERLER-2017-HVR/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2017-VC-Interface",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing als Interface zur Entscheidungsunterstützung",
        "date": "2017-07-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2017-07-04",
        "event": "RailTec 4.0 Workshop",
        "location": "Wien",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Purgathofer-2017-VC-Interface/",
        "__class": "Publication"
    },
    {
        "id": "Kovacs_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shadow Volumes in Unreal Engine 4",
        "date": "2017-06-25",
        "abstract": "The presented bachelor thesis project explores the possibilities of implementing custom lighting techniques in a state-of-the-art game engine.\nSpecifically, Unreal Engine 4 is analyzed for the feasibility of implementing shadow\nvolumes in a shader-centric plugin. The thesis discusses the theoretical and practical background of Unreal Engine and\nof shadow volumes, and provides detailed information on every implementation step. It shows the challenges of customization and the results achieved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1141,
            "image_height": 572,
            "name": "Kovacs_2017-image.jpg",
            "type": "image/jpeg",
            "size": 42348,
            "path": "Publication:Kovacs_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1487
        ],
        "date_end": "2017-06-25",
        "date_start": "2017-01-25",
        "matrikelnr": "1227520",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Kovacs_2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 5330718,
                "path": "Publication:Kovacs_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1141,
                "image_height": 572,
                "name": "Kovacs_2017-image.jpg",
                "type": "image/jpeg",
                "size": 42348,
                "path": "Publication:Kovacs_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/Kovacs_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kovacs_2017/",
        "__class": "Publication"
    },
    {
        "id": "CORNEL-2017-FRS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Forced Random Sampling: fast generation of importance-guided blue-noise samples",
        "date": "2017-06",
        "abstract": "In computer graphics, stochastic sampling is frequently used to efficiently approximate complex functions and integrals. The error of approximation can be reduced by distributing samples according to an importance function, but cannot be eliminated completely. To avoid visible artifacts, sample distributions are sought to be random, but spatially uniform, which is called blue-noise sampling. The generation of unbiased, importance-guided blue-noise samples is expensive and not feasible for real-time applications. Sampling algorithms for these applications focus on runtime performance at the cost of having weak blue-noise properties. Blue-noise distributions have also been proposed for digital halftoning in the form of precomputed dither matrices. Ordered dithering with such matrices allows to distribute dots with blue-noise properties according to a grayscale image. By the nature of ordered dithering, this process can be parallelized easily. We introduce a novel sampling method called forced random sampling that is based on forced random dithering, a variant of ordered dithering with blue noise. By shifting the main computational effort into the generation of a precomputed dither matrix, our sampling method runs efficiently on GPUs and allows real-time importance sampling with blue noise for a finite number of samples. We demonstrate the quality of our method in two different rendering applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3206,
            "image_height": 1830,
            "name": "CORNEL-2017-FRS-image2.png",
            "type": "image/png",
            "size": 2261746,
            "path": "Publication:CORNEL-2017-FRS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877,
            1129,
            659,
            193
        ],
        "date_from": "2017-06-27",
        "date_to": "2017-06-30",
        "event": "Computer Graphics International 2017",
        "issn": "1432-2315",
        "journal": "The Visual Computer",
        "lecturer": [
            877
        ],
        "location": "Yokohama, Japan",
        "number": "6",
        "pages_from": "833",
        "pages_to": "843",
        "volume": "33",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "blue-noise sampling",
            "importance sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 512,
                "name": "CORNEL-2017-FRS-image.png",
                "type": "image/png",
                "size": 345074,
                "path": "Publication:CORNEL-2017-FRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3206,
                "image_height": 1830,
                "name": "CORNEL-2017-FRS-image2.png",
                "type": "image/png",
                "size": 2261746,
                "path": "Publication:CORNEL-2017-FRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CORNEL-2017-FRS-paper.pdf",
                "type": "binary/octet-stream",
                "size": 4668674,
                "path": "Publication:CORNEL-2017-FRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/CORNEL-2017-FRS-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "PathSpace",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/CORNEL-2017-FRS/",
        "__class": "Publication"
    },
    {
        "id": "Escribano_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Evaluation of Computational Models of the Biological Mesoscale",
        "date": "2017-06",
        "abstract": "Currently available techniques for capturing macromolecules on atomic level are not appropriate for large structures on the biological mesoscale. Therefore, those structures, such as viruses or cell organelles, have to be assembled from molecular building blocks using software tools. The goal of recent projects like cellPACK is to create models with these tools, allowing the scientific community to iteratively give feedback and edit the models, in order to eventually generate the most suitable illustration consistent with the current state of knowledge. For that purpose, we need to discern the values for properties like distribution, density or opacity that make a model preferable to others. \nThis thesis aims to create a software program for visual evaluation of the quality of the assembled structures. The program will extract the information about the quality of spatial distribution of molecules in the scenes produced by packing tools and plot it into a set of 2D representations. These will convey the statistical information about the distribution and enable the visual comparison of generated models, which vary not only due to the stochastic nature of the packing algorithms but also because of the use of different parameter settings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 813,
            "image_height": 441,
            "name": "Escribano_2017-image.jpg",
            "type": "image/jpeg",
            "size": 76644,
            "path": "Publication:Escribano_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1417
        ],
        "date_end": "2017-06",
        "date_start": "2017-11",
        "matrikelnr": "01635324",
        "supervisor": [
            1285,
            935
        ],
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 813,
                "image_height": 441,
                "name": "Escribano_2017-image.jpg",
                "type": "image/jpeg",
                "size": 76644,
                "path": "Publication:Escribano_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Escribano_2017-thesis.pdf",
                "type": "application/pdf",
                "size": 2872837,
                "path": "Publication:Escribano_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/Escribano_2017-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Escribano_2017/",
        "__class": "Publication"
    },
    {
        "id": "geymayer-2017-std",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "How Sensemaking Tools Influence Display Space Usage",
        "date": "2017-06",
        "abstract": "We explore how the availability of a sensemaking tool influences users’ knowledge externalization strategies. On a large display,\nusers were asked to solve an intelligence analysis task with or without a bidirectionally linked concept-graph (BLC) to organize\ninsights into concepts (nodes) and relations (edges). In BLC, both nodes and edges maintain “deep links” to the exact source\nphrases and sections in associated documents. In our control condition, we were able to reproduce previously described spatial\norganization behaviors using document windows on the large display. When using BLC, however, we found that analysts apply\nspatial organization to BLC nodes instead, use significantly less display space and have significantly fewer open windows.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 805,
            "image_height": 344,
            "name": "geymayer-2017-std-image.PNG",
            "type": "image/png",
            "size": 604999,
            "path": "Publication:geymayer-2017-std",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1477,
            1110,
            1476,
            202
        ],
        "booktitle": "EuroVis Workshop on Visual Analytics",
        "event": "EuroVis 2017",
        "lecturer": [
            1477
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "sensemaking",
            "large displays",
            "evaluation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 805,
                "image_height": 344,
                "name": "geymayer-2017-std-image.PNG",
                "type": "image/png",
                "size": 604999,
                "path": "Publication:geymayer-2017-std",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "geymayer-2017-std-paper.pdf",
                "type": "application/pdf",
                "size": 1117995,
                "path": "Publication:geymayer-2017-std",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/geymayer-2017-std-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/geymayer-2017-std/",
        "__class": "Publication"
    },
    {
        "id": "SCHOBER-2006-IVSA",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visualization of Smooth Adaptive Height Fields",
        "date": "2017-06",
        "abstract": "In this thesis we will develop an interactive visualization method for adaptive height Fields. The method\nshould visualize height-Field data smoothly and adjust detail to the distance of a point to the camera.\nRe-sampling is expected to take boundary conditions, such as walls, into account, to avoid data leaking\nthough such boundaries.\n\nThe surface should be rendered smoothly to avoid line-like intersections between two surfaces (each\nrepresented by an own height Field) if those intersections do not represent the apparent situation. The\nmethod should also support further rendering steps by providing fast access to the smoothed data.\nThe method is expected to support at least rendering for water and terrain, but may also be used for\nother height Fields.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            987
        ],
        "date_start": "2017-06",
        "matrikelnr": "00828151",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHOBER-2006-IVSA/",
        "__class": "Publication"
    },
    {
        "id": "PODARAS-2017-ACRS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Classification of Road-Surface Types Based on Crowd-Sourced Data",
        "date": "2017-05-30",
        "abstract": "This thesis presents a method to automatically estimate road-surface types based on\ncrowd-sourced and open source data to give cyclists an overview of the road conditions\nalong a cycle route.\n\nAutomatic classification of land-cover has been an active research field in recent years\nand mainly focuses on the classification of areas based on digital satellite and aerial\nimagery. Performing classification of road-surfaces based on such images bears some\nspecial challenges because roads have a width of only a few pixels on these photos, which\nmakes it difficult to successfully apply classical image-analysis methods. Problems are\ncaused by mixed pixels, which do not belong to a single surface class exclusively. Due to\nobjects occluding the street, like for example trees and cars, it is difficult to isolate the\nstreet’s actual surface from the rest of the image. This biases the classification procedure\nand may cause faulty results. Furthermore, aerial images of high spatial resolution are\nonly available with a small range of spectral bands.\n\nThis thesis proposes an alternative approach for road-surface classification by utilizing\nopen source data with a focus on data from the project OpenStreetMap (OSM). OSM\nis an online mapping project which collects geographical data and makes it available\nfreely by providing a digital world map. Data is collected by users on a voluntary basis.\nOSM offers its users the possibility to add various properties to streets by making textual\nannotations. From these so-called tags it is possible to deduce road-surface properties\nfor numerous roads by using methods from pattern recognition. The system is designed\nso it can be extended with additional data from other sources (e.g., height information)\nto improve classification results. Classification takes place at two levels, based on a\ncoarse-to-fine-grained surface taxonomy.\n\nThe method was evaluated on different testing areas in Austria and Liechtenstein. At the\ncoarse-grained level, up to 90% of streets were correctly classified. At the fine-grained\nlevel, up to 60% of streets were correctly classified. The advantage of the proposed\nmethod is that it is fast and applicable to regions worldwide at low cost, as long as\nsufficient OSM data for a certain region is available.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1126,
            "image_height": 936,
            "name": "PODARAS-2017-ACRS-image.png",
            "type": "image/png",
            "size": 88316,
            "path": "Publication:PODARAS-2017-ACRS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1130
        ],
        "date_end": "2017-05-30",
        "date_start": "2016-06-07",
        "diploma_examina": "2017-05-30",
        "matrikelnr": "0605836",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1126,
                "image_height": 936,
                "name": "PODARAS-2017-ACRS-image.png",
                "type": "image/png",
                "size": 88316,
                "path": "Publication:PODARAS-2017-ACRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PODARAS-2017-ACRS-poster.pdf",
                "type": "application/pdf",
                "size": 2635905,
                "path": "Publication:PODARAS-2017-ACRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PODARAS-2017-ACRS-thesis.pdf",
                "type": "application/pdf",
                "size": 13760740,
                "path": "Publication:PODARAS-2017-ACRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/PODARAS-2017-ACRS-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PODARAS-2017-ACRS/",
        "__class": "Publication"
    },
    {
        "id": "Matusich-2017-01",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Billboarded Cutaway Visualization for Subsurface Urban Sewer Networks - Flood Simulation embedded in Unity3D",
        "date": "2017-05-02",
        "abstract": "Visualizing the results of a flood simulation interactively in real-time has become very important due to the increasing number of flood hazards in the recent past. An important part of a flood simulation is the impact on the sewer system of the flooded city. For the simulation itself only a very primitive data structure of a sewer system is required. Therefore this thesis proposes an innovative and efficient technique to render sewage pipes and to visualize the water flow inside of them. With a simple underlying data structure of node positions, billboarded sewage pipes are constructed in the geometry\nshader. With a proxy geometry the stencil buffer is utilized to distinguish outside and inside of the pipe and the billboards are drawn accordingly.\nIn addition another technique is introduced to cut-open the occluding terrain to expose\nthe sewage pipes to the viewer. Therefore a two dimensional distance transform of the\nsewer network is generated. The created distance field is used to discard fragments of the terrain, which are relatively close to a pipe. Further an artificial thickness is added to the cut-open terrain analytically in image-space.\nThe techniques are presented in detail and their implementation is demonstrated in\nUnity3D. It is evaluated by comparing the result to multiple conventions for computer\ngenerated cutaways. Additionally the feedback from visualization experts and the\ntechnical performance is presented. The results show that billboarded and cut-open\ntubular geometry can be rendered fast, efficient and with a low memory footprint.\nFurthermore the technique fulfills many of the design principles for cutaways and got\npositive feedback from visualization experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 254,
            "name": "Matusich-2017-01-image.JPG",
            "type": "image/jpeg",
            "size": 27599,
            "path": "Publication:Matusich-2017-01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1380
        ],
        "date_end": "2017-05-02",
        "date_start": "2016-08-10",
        "matrikelnr": "0806024",
        "supervisor": [
            171,
            798
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.matusich.at/thesis",
                "caption": "Additional Information",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Matusich-2017-01-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 4067511,
                "path": "Publication:Matusich-2017-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 254,
                "name": "Matusich-2017-01-image.JPG",
                "type": "image/jpeg",
                "size": 27599,
                "path": "Publication:Matusich-2017-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/Matusich-2017-01-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Matusich-2017-01/",
        "__class": "Publication"
    },
    {
        "id": "Radwan-2017-Occ",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cut and Paint: Occlusion-Aware Subset Selection for Surface Processing",
        "date": "2017-05",
        "abstract": "User-guided surface selection operations are straightforward for visible regions on a convex model. However, concave surfaces present a challenge because self-occlusions require multiple camera positions to get unobstructed views. Therefore, users often have to locate and switch to new unobstructed views in order to continue the operation. Our novel approach enables operations like painting or cutting in a single view, even on the backside of objects and for arbitrary depth complexity, with interactive performance. Continuous projection of a curve drawn in screen space onto the mesh guarantees seamless brush strokes or manifold cuts, unaffected by any occlusions.\n\nOur occlusion-aware surface-processing method enables a number of applications in an easy way. As examples, we show continuous painting on the surface, selecting regions for texturing, creating illustrative cutaways from nested models and animation of cutaways.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Occlusion-aware generation of a cutaway illustration.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1964,
            "image_height": 2040,
            "name": "Radwan-2017-Occ-image.jpg",
            "type": "image/jpeg",
            "size": 735971,
            "path": "Publication:Radwan-2017-Occ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            923,
            948,
            823,
            193
        ],
        "booktitle": "Proceedings of Graphics Interface 2017",
        "date_from": "2017-05-17",
        "date_to": "2017-05-19",
        "doi": "10.20380/GI2017.11",
        "event": "Graphics Interface 2017",
        "lecturer": [
            923
        ],
        "location": "Edmonton, Alberta, CA",
        "pages_from": "82",
        "pages_to": "89",
        "publisher": "Canadian Human-Computer Communications Society / Soci{\\'e}t{\\'e} canadienne du dialogue humain-machine",
        "research_areas": [
            "Geometry",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Occlusion-aware generation of a cutaway illustration.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1964,
                "image_height": 2040,
                "name": "Radwan-2017-Occ-image.jpg",
                "type": "image/jpeg",
                "size": 735971,
                "path": "Publication:Radwan-2017-Occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Radwan-2017-Occ-paper.pdf",
                "type": "application/pdf",
                "size": 5813944,
                "path": "Publication:Radwan-2017-Occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/Radwan-2017-Occ-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Radwan-2017-Occ/",
        "__class": "Publication"
    },
    {
        "id": "seyfert-2017",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic word clouds",
        "date": "2017-05",
        "abstract": "Using word clouds to visualize dynamic time-varying data is a field still under-explored. The goal of our approach is to provide a novel way of generating smoothly animated word clouds to show changes in word frequency via font size. Unlike existing methods, a compact layout, inspired by the popular word cloud generation tool Wordle, is preserved during animation and implemented using web technologies.Word size changes in time are also illustrated via color and word rotation. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 642,
            "image_height": 297,
            "name": "seyfert-2017-image.bmp",
            "type": "image/bmp",
            "size": 572670,
            "path": "Publication:seyfert-2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            1400
        ],
        "booktitle": "Proceedings of SCCG 2017",
        "date_from": "2017-05-15",
        "date_to": "2017-05-17",
        "doi": "10.1145/3154353.3154358",
        "editor": "ACM",
        "event": "SCCG 2017",
        "isbn": "978-1-4503-5107-2",
        "lecturer": [
            1400
        ],
        "location": "Mikulov",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            " tag cloud, animated, dynamic, time-varying, word cloud "
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 642,
                "image_height": 297,
                "name": "seyfert-2017-image.bmp",
                "type": "image/bmp",
                "size": 572670,
                "path": "Publication:seyfert-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "seyfert-2017-paper.pdf",
                "type": "application/pdf",
                "size": 2618363,
                "path": "Publication:seyfert-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/seyfert-2017-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/seyfert-2017/",
        "__class": "Publication"
    },
    {
        "id": "sorger_2017_metamorphers",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Metamorphers: Storytelling Templates For Illustrative Animated Transitions in Molecular Visualization",
        "date": "2017-05",
        "abstract": "In molecular biology, illustrative animations are used to convey complex biological phenomena to broad audiences. However, such animations have to be manually authored in 3D modeling software, a time consuming task that has to be repeated from scratch for every new data set, and requires a high level of expertise in illustration, animation, and biology. We therefore propose metamorphers: a set of operations for deﬁning animation states as well as the transitions to them in the form of re-usable story telling templates. The re-usability is two-fold. Firstly, due to their modular nature, metamorphers can be re-used in different combinations to create a wide range of animations. Secondly, due to their abstract nature, metamorphers can be re-used to re-create an intended animation for a wide range of compatible data sets. Metamorphers thereby mask the low level complexity of explicit animation speciﬁcations by exploiting the inherent properties of the molecular data, such as the position, size, and hierarchy level of a semantic data subset.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 6011,
            "image_height": 1167,
            "name": "sorger_2017_metamorphers-teaser.png",
            "type": "image/png",
            "size": 2870066,
            "path": "Publication:sorger_2017_metamorphers",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            935,
            488,
            166,
            1379,
            171
        ],
        "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2017",
        "date_from": "2017-05-15",
        "date_to": "2017-05-17",
        "location": "Mikulov, Czech Republic",
        "pages_from": "27",
        "pages_to": "36",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "animated transitions",
            "storytelling",
            "molecular visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger_2017_metamorphers-paper.pdf",
                "type": "application/pdf",
                "size": 10648080,
                "path": "Publication:sorger_2017_metamorphers",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 6011,
                "image_height": 1167,
                "name": "sorger_2017_metamorphers-teaser.png",
                "type": "image/png",
                "size": 2870066,
                "path": "Publication:sorger_2017_metamorphers",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger_2017_metamorphers-video.mp4",
                "type": "video/mp4",
                "size": 99597057,
                "path": "Publication:sorger_2017_metamorphers",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/sorger_2017_metamorphers-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/sorger_2017_metamorphers/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2017-sccgposter",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Maya2cellVIEW: Integrated Tool for Creating Large and Complex Molecular Scenes",
        "date": "2017-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3789,
            "image_height": 2013,
            "name": "kouril-2017-sccgposter-teaser.png",
            "type": "image/png",
            "size": 285215,
            "path": "Publication:kouril-2017-sccgposter",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383,
            1189,
            1248,
            171
        ],
        "date_from": "2017-05",
        "date_to": "2017-05",
        "event": "Spring Conference on Computer Graphics 2017",
        "research_areas": [
            "BioVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2017-sccgposter-poster.pdf",
                "type": "application/pdf",
                "size": 6909053,
                "path": "Publication:kouril-2017-sccgposter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3789,
                "image_height": 2013,
                "name": "kouril-2017-sccgposter-teaser.png",
                "type": "image/png",
                "size": 285215,
                "path": "Publication:kouril-2017-sccgposter",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/kouril-2017-sccgposter-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2017-sccgposter/",
        "__class": "Publication"
    },
    {
        "id": "Ganuza-2017-IVCSGM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Categorization of Spinel-Group Minerals",
        "date": "2017-05",
        "abstract": "Spinel-group minerals are excellent indicators of geological environments and are of invaluable help in the search for mineral\ndeposits of economic interest. The geologists analyze them by means of Barnes and Roeder’s contours. In this paper, we present a\ncollection of novel, interactive methods, which assist geologists in the categorization of spinel-group minerals. We fully integrate\nBarnes and Roeder’s contours using a polygonal representation. This makes it possible to efficiently superimpose user-provided point\ndata over the contours, and to automatically rank the contours based on the number of enclosed points. We also allow the expert to\ncreate contours for the user-provided point data. Once user contours are created, they can be compared with Barnes and Roeder’s\ncontours. During the analysis, the user can drill-down by means of brushing. As we deal with specific data, we apply two novel\nbrushing techniques, i.e., the percentile brush and the contour brush. The novel brushing mechanisms along with the interactive\ncomparison speed-up the analysis significantly. We evaluate the newly introduced approach and the resulting novel workflow using\nreal-word data from different locations in Argentina. According to the domain experts, the classification of spinel minerals needs\nseveral minutes now, while it took a few days with the current state of the art approach in the domain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1229,
            1233,
            408,
            1232,
            166,
            235
        ],
        "booktitle": "Proceedings of the 33rd Spring Conference on Computer Graphics (SCCG 2017)",
        "event": "33rd Spring Conference on Computer Graphics (SCCG 2017)",
        "lecturer": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ganuza-2017-IVCSGM-paper.pdf",
                "type": "application/pdf",
                "size": 3367249,
                "path": "Publication:Ganuza-2017-IVCSGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/Ganuza-2017-IVCSGM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza-2017-IVCSGM/",
        "__class": "Publication"
    },
    {
        "id": "Gehrer-2017-molmach",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of molecular machinery using agent-based animation",
        "date": "2017-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 335,
            "image_height": 182,
            "name": "Gehrer-2017-molmach-image.jpg",
            "type": "image/jpeg",
            "size": 15836,
            "path": "Publication:Gehrer-2017-molmach",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1194,
            171
        ],
        "booktitle": "Proceedings of SCCG 2017",
        "event": "Spring Conference on Computer Graphics",
        "lecturer": [
            1194
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 335,
                "image_height": 182,
                "name": "Gehrer-2017-molmach-image.jpg",
                "type": "image/jpeg",
                "size": 15836,
                "path": "Publication:Gehrer-2017-molmach",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gehrer-2017-molmach-paper.pdf",
                "type": "application/pdf",
                "size": 7769733,
                "path": "Publication:Gehrer-2017-molmach",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/Gehrer-2017-molmach-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017-molmach/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2017_FlickerObserver",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Flicker Observer Effect: Guiding Attention Through High Frequency Flicker in Images",
        "date": "2017-05",
        "abstract": "Drawing the user's gaze to an important item in an image or a graphical user interface is a common challenge. Usually, some form of highlighting is used, such as a clearly distinct color or a border around the item. Flicker can also be very salient, but is often perceived as annoying. In this paper, we explore high frequency flicker (60 to 72 Hz) to guide the user's attention in an image. At such high frequencies, the critical flicker frequency (CFF) threshold is reached, which makes the flicker appear to fuse into a stable signal. However, the CFF is not uniform across the visual field, but is higher in the peripheral vision at normal lighting conditions. Through experiments, we show that high frequency flicker can be easily detected by observers in the peripheral vision, but the signal is hardly visible in the foveal vision when users directly look at the flickering patch. We demonstrate that this property can be used to draw the user's attention to important image regions using a standard high refresh-rate computer monitor with minimal visible modifications to the image. In an uncalibrated visual search task, users could in a crowded image easily spot the specified search targets flickering with very high frequency. They also reported that high frequency flicker was distracting when they had to attend to another region, while it was hardly noticeable when looking at the flickering region itself.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            1110,
            171
        ],
        "date_from": "2014",
        "date_to": "2017",
        "event": "Eurographics 2017",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1339
        ],
        "number": "2",
        "pages_from": "467",
        "pages_to": "476",
        "volume": "36",
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Waldin_Nicholas_2017_FlickerObserver-paper.pdf",
                "type": "application/pdf",
                "size": 6348247,
                "path": "Publication:Waldin_Nicholas_2017_FlickerObserver",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/Waldin_Nicholas_2017_FlickerObserver-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Waldin_Nicholas_2017_FlickerObserver/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2017-vph",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploring Visual Prominence of Multi-Channel Highlighting in Visualizations",
        "date": "2017-05",
        "abstract": "Visualizations make rich use of multiple visual channels so that there are few resources left to make selected focus elements visually\ndistinct from their surrounding context. A large variety of highlighting techniques for visualizations has been presented in the past,\nbut there has been little systematic evaluation of the design space of highlighting. We explore highlighting from the perspective\nof visual marks and channels – the basic building blocks of visualizations that are directly controlled by visualization designers.\nWe present the results from two experiments, exploring the visual prominence of highlighted marks in scatterplots: First, using\nluminance as a single highlight channel, we found that visual prominence is mainly determined by the luminance difference between\nthe focus mark and the brightest context mark. The brightness differences between context marks and the overall brightness level\nhave negligible influence. Second, multi-channel highlighting using luminance and blur leads to a good trade-off between highlight\neffectiveness and aesthetics. From the results, we derive a simple highlight model to balance highlighting across multiple visual\nchannels and focus and context marks, respectively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 160,
            "image_height": 124,
            "name": "waldner-2017-vph-.png",
            "type": "image/png",
            "size": 20447,
            "path": "Publication:waldner-2017-vph",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            925,
            166
        ],
        "booktitle": "Spring Conference on Computer Graphics 2017",
        "lecturer": [
            1110
        ],
        "research_areas": [
            "InfoVis",
            "Perception"
        ],
        "keywords": [
            "information visualization",
            "highlighting",
            "focus+context",
            "visual prominence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 160,
                "image_height": 124,
                "name": "waldner-2017-vph-.png",
                "type": "image/png",
                "size": 20447,
                "path": "Publication:waldner-2017-vph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2017-vph-paper.pdf",
                "type": "application/pdf",
                "size": 1851221,
                "path": "Publication:waldner-2017-vph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-paper:thumb{{size}}.png"
            },
            {
                "description": "Details about experiment design and results. ",
                "filetitle": "supplemental material",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2017-vph-supplemental material.pdf",
                "type": "application/pdf",
                "size": 1396255,
                "path": "Publication:waldner-2017-vph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/waldner-2017-vph-supplemental material:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/waldner-2017-vph/",
        "__class": "Publication"
    },
    {
        "id": "Balduz_01",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Walk line drawing",
        "date": "2017-04-25",
        "abstract": "In the recent years, consequence of technology improvements, a new kind of art has appeared. It is called GPS art and consists in drawing on a digital map by recording the path followed using a GPS device. The fact is that not everyone is able to make the drawing of a certain figure. Just the so-called GPS artists come up with the path, so it makes this kind of art not reachable to some people.\nThe idea of this thesis is to enable people to create GPS art without relying on imagination to come up with a path for a certain figure. In order to achieve that, a system that finds that path in a map for a given figure as input has been developed. In order for people to use this system, it has been integrated within a mobile application, so users are able to find the path to follow easily.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 248,
            "image_height": 249,
            "name": "Balduz_01-image.JPG",
            "type": "image/jpeg",
            "size": 29143,
            "path": "Publication:Balduz_01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1382
        ],
        "date_end": "2017-04-25",
        "date_start": "2016-10-01",
        "matrikelnr": "1635296",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "GPS art device"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "Balduz_01-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 1508429,
                "path": "Publication:Balduz_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 248,
                "image_height": 249,
                "name": "Balduz_01-image.JPG",
                "type": "image/jpeg",
                "size": 29143,
                "path": "Publication:Balduz_01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/Balduz_01-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Balduz_01/",
        "__class": "Publication"
    },
    {
        "id": "Gehrer-2017",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of molecular machinery using agent-based animation",
        "date": "2017-04-21",
        "abstract": "This work proposes an agent-based model for animating molecular machines. Usually\nmolecular machines are visualized using key-frame animation. Creating large molecular assemblies with key-frame animation in standard 3D software can be a tedious task, because hundreds or thousands of molecular particles have to be animated by hand, considering various biological phenomena. To avoid repetitive animation of molecular particles, a prototypic framework is implemented, that employs an agent-based approach. Instead of animating the molecular particles directly, the framework utilizes behavior descriptions for each type of molecular particle. The animation results from the molecular particles interacting with each other as defined by their behavior. Interaction between\nmolecular particles is enabled by an abstract model that is implemented by the framework.\nThe methodology for creating the framework was driven through learning by example.\nThree molecular machines are visualized using the framework. During this process, the framework was iteratively improved, to meet the requirements for each new molecular machine. The resulted animations demonstrate that agent-based animation is a viable option for molecular machines.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 419,
            "image_height": 303,
            "name": "Gehrer-2017-image.JPG",
            "type": "image/jpeg",
            "size": 33437,
            "path": "Publication:Gehrer-2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1194
        ],
        "date_end": "2017-04-21",
        "date_start": "2016-06-01",
        "matrikelnr": "1125229",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 419,
                "image_height": 303,
                "name": "Gehrer-2017-image.JPG",
                "type": "image/jpeg",
                "size": 33437,
                "path": "Publication:Gehrer-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gehrer-2017-Master thesis.pdf",
                "type": "application/pdf",
                "size": 20514839,
                "path": "Publication:Gehrer-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/Gehrer-2017-Master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gehrer-2017/",
        "__class": "Publication"
    },
    {
        "id": "Mayr-2017-1",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Summarization of Image Datasets",
        "date": "2017-04-20",
        "abstract": "Since the innovation of the digital camera the number of pictures taken is still increasing. Especially in recent years, when mobile phone manufacturer began to attach digital cameras to their mobile phones, this ended up in a flood of pictures nowadays. The aim of this thesis is, to implement an algorithm that automatically summarizes a given dataset\nof geotagged images and creates a representative image collage. It is strictly based on the visualization pipeline and starts with the data analysis and filtering of the image dataset. Next, the filtered data are mapped using a symmetric version of the Voronoi tessellation, and are finally rendered using optional dissolve blending. We test the implementation on two different image datasets, containing 35 and 154 images, respectively. The results indicate that the implementation generates diverse and appealing image collages for the tested image datasets, but that there are also some extreme cases for example with\nmisleading symmetry caused by the pre-attentive processing of the human visual system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4000,
            "image_height": 4000,
            "name": "Mayr-2017-1-image.jpg",
            "type": "image/jpeg",
            "size": 2622745,
            "path": "Publication:Mayr-2017-1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1284
        ],
        "date_end": "2017-04-20",
        "date_start": "2016-10-12",
        "matrikelnr": "1226745",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mayr-2017-1-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 70774852,
                "path": "Publication:Mayr-2017-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4000,
                "image_height": 4000,
                "name": "Mayr-2017-1-image.jpg",
                "type": "image/jpeg",
                "size": 2622745,
                "path": "Publication:Mayr-2017-1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/Mayr-2017-1-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mayr-2017-1/",
        "__class": "Publication"
    },
    {
        "id": "Winkler-2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Procedural Modeling driven by User Feedback",
        "date": "2017-04-19",
        "abstract": "In this work a user centered procedural modeling framework is proposed which combines rule based content generation with the concepts of recommendation systems. Using the ACGAX modeling language, artists are able to write grammar scripts for the creation of diverse and complex 3D scenes, controlled with a simple goal notation. These scripts are evaluated and executed by the system to generate 3D-shapes using stored production rules from the cloud. The rule selection process is based on content based information filtering systems to create results matching the user’s preferences. User feedback is collected in a way that integrates explicit feedback into the modeling work flow via manual locking operations. These actions allow users to directly control the derivation\nprocess of grammars by fixing certain parts of the derivation tree. The goal of this\nresearch is not only to create a modeling tool, but a growing database of grammars,\nrules and feedback records. By observing how users interact with the grammars, the\nsystem learns which rules are most suitable for certain goals. The proposed system\nis designed to to learn from a user’s actions to improve the cloud based rule selection process for future modeling tasks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 252,
            "image_height": 214,
            "name": "Winkler-2017-image.JPG",
            "type": "image/jpeg",
            "size": 14078,
            "path": "Publication:Winkler-2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1422
        ],
        "date_end": "2017-04-19",
        "date_start": "2016-10-01",
        "matrikelnr": "1129264",
        "supervisor": [
            193,
            1303
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 252,
                "image_height": 214,
                "name": "Winkler-2017-image.JPG",
                "type": "image/jpeg",
                "size": 14078,
                "path": "Publication:Winkler-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Winkler-2017-thesis.pdf",
                "type": "application/pdf",
                "size": 474553,
                "path": "Publication:Winkler-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/Winkler-2017-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Winkler-2017/",
        "__class": "Publication"
    },
    {
        "id": "miao_inria_2017",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Modeling in DNA Nanotechnology",
        "date": "2017-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1953,
            "image_height": 1093,
            "name": "miao_inria_2017-.png",
            "type": "image/png",
            "size": 981598,
            "path": "Publication:miao_inria_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "event": "Inria",
        "location": "Inria, Grenoble, France",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1953,
                "image_height": 1093,
                "name": "miao_inria_2017-.png",
                "type": "image/png",
                "size": 981598,
                "path": "Publication:miao_inria_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/miao_inria_2017-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Illustrare"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_inria_2017/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2017-virtualcell",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Birth of a Virtual Cell",
        "date": "2017-04",
        "abstract": "In our current research project, we are working on the interactive visualization of cellular data at multiple scales. The visual story telling contest motivated us to describe the process of bringing this complex volumetric data \"to life\". We scripted the visual story directly within the current build of our multi-scale visualization. The entire video is therefore rendered in real time. This enabled us to directly show the steps involved in the rendering of our final visualization based on the actual data and the actual algorithms that are applied. The various effects in the video are therefore parameter variables for existing multi-scale visualization functions that change over time. The final result of our visualization was inspired by a rendering of the reference 3D model that was created by a scientific illustrator. The challenge that we overcome in our visualization was to create a rendering of the original data at stable 30 frames per second that matches the offline rendered illustration in visual quality, which helps to clarify the complex 3D arrangements of the inner components of the cell.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 960,
            "image_height": 540,
            "name": "mindek-2017-virtualcell-teaser.png",
            "type": "image/png",
            "size": 332614,
            "path": "Publication:mindek-2017-virtualcell",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            1072,
            1383,
            1285,
            1379,
            171
        ],
        "note": "submitted to the Pacific Vis 2017 Storytelling Contest",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vimeo.com/220376839",
                "caption": "the video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 960,
                "image_height": 540,
                "name": "mindek-2017-virtualcell-teaser.png",
                "type": "image/png",
                "size": 332614,
                "path": "Publication:mindek-2017-virtualcell",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/mindek-2017-virtualcell-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-virtualcell/",
        "__class": "Publication"
    },
    {
        "id": "PROST-2017-RTL",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Photometric Area Lights for Interactive Lighting Design",
        "date": "2017-04",
        "abstract": "The aim of this work is to develop a plausible real-time approximation for photometric\narea lights. The new approximation should be closer to the ground truth than the\ncurrent point representation, but should not suffer from artifacts due to the simplification.\nThe expected outcome is an approximation which creates plausible illumination of\ndiffuse, glossy and specular surfaces. Moreover, we plan to design an approximation\nthat can handle rotationally symmetric as well as asymmetric photometric area lights.\nShadows play an important role in rendering realistic images. Since a vast amount\nof solutions have been proposed, we will elaborate and discuss the current state of the\nart of real-time soft shadows (shadows of area lights) in this thesis. As the impact of a\nphotometric profile of a light on its shadow is eligible, we will focus on unblocked light\ntransport (as opposed to the scene shown in Figure 2 where an occluder exists) when\ndeveloping the approximation.\nWe plan to take forward interactive lighting design by developing this new approximation:\nGiven the option to have plausible illumination from photometric area lights\nduring the design process, designers can develop new lighting systems even faster and\nmore intuitive. The novel lighting design process will be oriented at the established\ninteractive workflows provided by modern game-engine editors, and thus reduce the\ndevelopment time for new lighting systems and prototypes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1377
        ],
        "date_start": "2017-04",
        "matrikelnr": "1225511",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "area lights"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/PROST-2017-RTL/",
        "__class": "Publication"
    },
    {
        "id": "rraidou_EG17",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline",
        "date": "2017-04",
        "abstract": "Prostate cancer is one of the most frequently occurring types of cancer in males. It is often treated with radiation therapy,which aims at irradiating tumors with a high dose, while sparing the surrounding healthy tissues. In the course of the years,radiotherapy technology has undergone great advancements. However, tumors are not only different from each other, theyare also highly heterogeneous within, consisting of regions with distinct tissue characteristics, which should be treated withdifferent radiation doses. Tailoring radiotherapy planning to the specific needs and intra-tumor tissue characteristics of eachpatient is expected to lead to more effective treatment strategies. Currently, clinical research is moving towards this direction,but an understanding of the specific tumor characteristics of each patient, and the integration of all available knowledge into apersonalizable radiotherapy planning pipeline are still required. The present work describes solutions from the field of VisualAnalytics, which aim at incorporating the information from the distinct steps of the personalizable radiotherapy planningpipeline, along with eventual sources of uncertainty, into comprehensible visualizations. All proposed solutions are meantto increase the – up to now, limited – understanding and exploratory capabilities of clinical researchers. These approachescontribute towards the interactive exploration, visual analysis and understanding of the involved data and processes at differentsteps of the radiotherapy planning pipeline, creating a fertile ground for future research in radiotherapy planning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image2",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 273,
            "image_height": 142,
            "name": "rraidou_EG17-image2.JPG",
            "type": "image/jpeg",
            "size": 16034,
            "path": "Publication:rraidou_EG17",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            679,
            459
        ],
        "booktitle": "Computer Graphics Forum (Proceedings of Eurographics)",
        "journal": "Computer Graphics Forum (Proceedings of Eurographics)",
        "lecturer": [
            161,
            951
        ],
        "volume": "36",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image2",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 273,
                "image_height": 142,
                "name": "rraidou_EG17-image2.JPG",
                "type": "image/jpeg",
                "size": 16034,
                "path": "Publication:rraidou_EG17",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 198,
                "preview_image_height": 35,
                "name": "rraidou_EG17-Paper.pdf",
                "type": "application/pdf",
                "size": 171052,
                "path": "Publication:rraidou_EG17",
                "preview_name": "rraidou_EG17-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 11846,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "rraidou_EG17-Video.mp4",
                "type": "video/mp4",
                "size": 291963837,
                "path": "Publication:rraidou_EG17",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/rraidou_EG17-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_EG17/",
        "__class": "Publication"
    },
    {
        "id": "Ganuza",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualización y Realidad Aumentada en el Campo de las Ciencias Geológicas",
        "date": "2017-04",
        "abstract": "En el campo de las Ciencias Geológicas, un desafío importante consiste en encontrar una representación adecuada de una gran cantidad de datos de distintos tipos, que abarcan análisis de muestras minerales, datos topográficos, proyecciones cartográficas, datos geofísicos, entre otros. La exploración y análisis de estos datos requiere un soporte visual adecuado. Por otra parte, es importante la asistencia de dispositivos móviles al momento de adquirir estos datos en el trabajo de campo. En esta línea de investigación se está trabajando en el diseño y la generación de visualizaciones y de sistemas que las soporten con el objetivo de asistir al geólogo en varias de sus tareas habituales. Por un lado, una sub-línea se refiere a la visualización de datos geológicos que provean un soporte adecuado para la exploración eficiente de distintos conjuntos de datos de micro-química. Por otro, se trabaja en incorporar visualizaciones que asistan al geólogo en la obtención de datos geológicos en el trabajo de campo; esto se lleva a cabo mediante el uso de tecnología de Realidad Aumentada y el uso de dispositivos móviles.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 446,
            "image_height": 236,
            "name": "Ganuza-image.JPG",
            "type": "image/jpeg",
            "size": 21870,
            "path": "Publication:Ganuza",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1536,
            1537,
            408,
            1232,
            1233,
            1229,
            235,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://sedici.unlp.edu.ar/handle/10915/61871",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 446,
                "image_height": 236,
                "name": "Ganuza-image.JPG",
                "type": "image/jpeg",
                "size": 21870,
                "path": "Publication:Ganuza",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ganuza-paper.pdf",
                "type": "application/pdf",
                "size": 993131,
                "path": "Publication:Ganuza",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/Ganuza-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Ganuza/",
        "__class": "Publication"
    },
    {
        "id": "rraidou_phdbook",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline.",
        "date": "2017-03-29",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "rraidou_phdbook-.pdf",
            "type": "application/pdf",
            "size": 22111641,
            "path": "Publication:rraidou_phdbook",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410
        ],
        "isbn": "ISBN987-90-386-4230-7",
        "open_access": "yes",
        "pages": "1-240",
        "publisher": "TU Eindhoven",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://repository.tue.nl/858251",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "rraidou_phdbook-.pdf",
                "type": "application/pdf",
                "size": 22111641,
                "path": "Publication:rraidou_phdbook",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/rraidou_phdbook-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rraidou_phdbook/",
        "__class": "Publication"
    },
    {
        "id": "Mitterhofer_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling Microorganisms",
        "date": "2017-03-23",
        "abstract": "Modeling of microorganisms is a cumbersome task, when biologists want to create a\nvisual representation of a certain microorganism. To correctly model structures on atomic resolution, each molecule (for example proteins and lipids) has to be placed at its correct position. For microorganisms of larger dimensions the modeling process takes a very long time, at this point an improved modeling approach is required. It would be possible to create a rule-based modeling approach, but usually rules restrict the final outcome and\nproduces repeating patterns. Therefore a tool that places molecules based on statistical evaluations and foresight was the main idea behind this project. The tool should allow for modeling complex organisms on molecular resolution by placing a minimal amount of examples and generalizing similar entities. A decision tree as learning structure evaluates the user’s actions, learns from them and reorganizes the whole structure. With this approach the user should be able to model complex cellular structures in as few steps as\npossible, also more complex actions, such as orientation towards a certain reference point, clusters, varying distribution united a real-time editor should improve the modeling task significantly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 280,
            "image_height": 189,
            "name": "Mitterhofer_2017-image.JPG",
            "type": "image/jpeg",
            "size": 30988,
            "path": "Publication:Mitterhofer_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1386
        ],
        "date_end": "2017-03-23",
        "date_start": "2016-10-12",
        "matrikelnr": "1226847",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mitterhofer_2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 20946273,
                "path": "Publication:Mitterhofer_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 280,
                "image_height": 189,
                "name": "Mitterhofer_2017-image.JPG",
                "type": "image/jpeg",
                "size": 30988,
                "path": "Publication:Mitterhofer_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/Mitterhofer_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Mitterhofer_2017/",
        "__class": "Publication"
    },
    {
        "id": "reinwald-2017-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast kNN in Screen Space on GPU",
        "date": "2017-03-20",
        "abstract": "A common problem in computer science is to construct a spatial data structure (octree, kd-tree) and use it to search for k-nearest neighbors (kNN). In surface reconstruction from dynamic points (real-time), both construction and search time are critical. As points on a surface are a sparse distribution in 3D, this can be exploited by mapping them into screen space (2D), as shown in \"Auto-splats\" (Preiner 2012). Our approach is to also exploit spatial coherence in screen space to find kNN for points. The performance is maximized by a CUDA implementation designed to minimize memory-boundness. An preliminary implementation exists which constructs a packed quadtree and reads kNN from a quadtree node density estimate. A few improvements have to be made to optimize performance and to analyze results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 637,
            "image_height": 602,
            "name": "reinwald-2017-baa-image.png",
            "type": "image/png",
            "size": 398232,
            "path": "Publication:reinwald-2017-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1420
        ],
        "date_end": "2019-03-12",
        "date_start": "2017-03-21",
        "matrikelnr": "1126981",
        "note": "1",
        "supervisor": [
            948
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "k-nearest neighbors",
            "surface reconstruction",
            "parallel optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 637,
                "image_height": 602,
                "name": "reinwald-2017-baa-image.png",
                "type": "image/png",
                "size": 398232,
                "path": "Publication:reinwald-2017-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "reinwald-2017-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 2988235,
                "path": "Publication:reinwald-2017-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/reinwald-2017-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/reinwald-2017-baa/",
        "__class": "Publication"
    },
    {
        "id": "Wagner_032017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D-Printing of Fetal Ultrasound",
        "date": "2017-03",
        "abstract": "3D printing has been used industrially for decades. It enables rapid prototyping while\nmaintaining low costs. Personal 3D printing became popular approximately since 2011.\nSince the massive arise of public interest, 3D printers are getting more and more affordable.\nIn this thesis, we show how fetal 3D ultrasound data can be processed to enable 3D printing. Major steps are classification of the tissues, extraction of the isosurface and mesh-smoothing. Our approach uses thresholding, in combination with Connected Component Analysis, to separate the mother tissues from the fetal tissues. From the labeled data, we extract the fetal surface using Marching Tetrahedra. The mesh is then smoothed and converted into a data format suitable for 3D printing. Depending on the quality of the given ultrasound data, we can generate a model with recognizable facial features and peripheral structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 220,
            "image_height": 290,
            "name": "Wagner_032017-image.JPG",
            "type": "image/jpeg",
            "size": 16866,
            "path": "Publication:Wagner_032017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1350
        ],
        "date_end": "2017-03-17",
        "date_start": "2016-10-01",
        "matrikelnr": "1326108",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Wagner_032017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 5193004,
                "path": "Publication:Wagner_032017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 220,
                "image_height": 290,
                "name": "Wagner_032017-image.JPG",
                "type": "image/jpeg",
                "size": 16866,
                "path": "Publication:Wagner_032017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/Wagner_032017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wagner_032017/",
        "__class": "Publication"
    },
    {
        "id": "Walch-2017-DA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lens Flare Prediction based on Measurements with Real-Time Visualization",
        "date": "2017-03",
        "abstract": "Lens flare is a visual phenomenon caused by interreflection of light within a lens system.\nThis effect is often undesired, but it gives rendered images a realistic appearance. In the\narea of computer graphics, several simulation based approaches have been presented to\nrender lens flare for a given spherical lens system. An accurate model of the lens system\nand all its components is crucial for a physically reliable result. Since the effect differs\nfrom camera to camera, these methods are not flexible, and the internal parameters –\nespecially the anti-reflection coatings – can only be approximated.\nIn this thesis we present a novel workflow for generating physically plausible renderings\nof lens flare phenomena by analyzing the lens flares captured on a camera. Furthermore,\nour method allows to predict the occurrence of lens flares for a given light setup. This\nis an often requested feature in light planning applications in order to efficiently avoid\nlens flare prone light positioning. A model with a tight parameter set and a GPU-based\nrendering method allows our method to be used in real-time applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 902,
            "image_height": 602,
            "name": "Walch-2017-DA-.png",
            "type": "image/png",
            "size": 122007,
            "path": "Publication:Walch-2017-DA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1494
        ],
        "date_end": "2017",
        "date_start": "2016",
        "matrikelnr": "0926780",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 902,
                "image_height": 602,
                "name": "Walch-2017-DA-.png",
                "type": "image/png",
                "size": 122007,
                "path": "Publication:Walch-2017-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Walch-2017-DA-poster.pdf",
                "type": "application/pdf",
                "size": 556129,
                "path": "Publication:Walch-2017-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Walch-2017-DA-thesis.pdf",
                "type": "application/pdf",
                "size": 2171946,
                "path": "Publication:Walch-2017-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/Walch-2017-DA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Walch-2017-DA/",
        "__class": "Publication"
    },
    {
        "id": "Gall_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparison of Vessel Segmentation Techniques",
        "date": "2017-03",
        "abstract": "Image segmentation is an important processing step in various applications and crucial in the medical field. When a new segmentation technique is introduced, validation and evaluation are essential for medical image analysis. But the automation of these processes is still not sufficient. Many algorithms have been published but there is still no satisfying way to assess whether an algorithm produces more accurate segmentations than another. More effort is spent on the development of algorithms than on their evaluation and therefore many researchers use the less complex subjective methods. For these techniques multiple experts are needed to visually compare several segmentation results, which is a very time-consuming process. Another way of comparing different results is the supervised evaluation method. Here we need experts, who manually segment reference images, which are used for comparison. As seen in recent researches there is a need for unsupervised methods due to many applications, in which user assistance is\ninfeasible. The aim of this thesis is to provide an environment to visually and objectively evaluate segmentation results in the field of vessel segmentations. Our framework enables the comparison at voxel-level with various visualization techniques and objective measurements. These methods are meant to make the comparison more understandable for users. A subjective evaluation is realized through a comparative visualization by using a two- and three-dimensional comparison of voxels. Another general overview is provided by a maximum-intensity projection, which highlights the vessel structure. As purely\nobjective evaluation technique, various metrics are used, to assure independence from experts or a ground truth. By using these techniques this paper presents an approach for evaluating differences in medical images, which does not rely on a permanent presence of an expert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 273,
            "image_height": 208,
            "name": "Gall_2017-image.JPG",
            "type": "image/jpeg",
            "size": 14192,
            "path": "Publication:Gall_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1355
        ],
        "date_end": "2017-03-08",
        "date_start": "2016-10-01",
        "matrikelnr": "1225540",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gall_2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 13262337,
                "path": "Publication:Gall_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 273,
                "image_height": 208,
                "name": "Gall_2017-image.JPG",
                "type": "image/jpeg",
                "size": 14192,
                "path": "Publication:Gall_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/Gall_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Gall_2017/",
        "__class": "Publication"
    },
    {
        "id": "Heim-2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semiautomated Editing of Vessel Segmentation Masks",
        "date": "2017-03",
        "abstract": "This thesis describes a technique for editing segmentation results of vessels, which should enhance usage and reduce work duration for physicians by using a simple and fast way of interaction. Moreover also a quick calculation of an accurate result was of primary interest. Since vascular structures are vulnerable to diseases, vessels are the main focus of this thesis. Nowadays, Image Analysis is able to facilitate the medical diagnosis procedure.\nSince stroke treatment is time-crucial, appropriate algorithms should be fast and enable an accurate depiction of the arteries to simplify the diagnostic process. However, because automatic segmentation is often quite inaccurate and manual segmentation is tedious, neither of these two methods alone is often adequate for usage. Because of this we suggest to combine the fast automatic segmentation and the exact manual editing done by clinical experts. To reduce effort and working time of the medical staff, this thesis describes different techniques, which were developed to modify and, more importantly, to improve\nthe segmentation results. The segmentation mask can be altered as its components can be separately removed and independent elements can be connected. A framework was implemented, with which a user is able to perform these tasks interactively. The deletion process is supported by various metrics, which enable the search and removal of similar structures. Also this framework assists the reconnection of vessels by finding the most likely connection by the means of image intensities and their gradients. The main goal of this thesis was to facilitate and accelerate the editing process by implementing fast semi-automatic algorithms. Intuitive interaction methods also had a major impact on the design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 463,
            "image_height": 400,
            "name": "Heim-2017-image.JPG",
            "type": "image/jpeg",
            "size": 41540,
            "path": "Publication:Heim-2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1354
        ],
        "date_end": "2017-03-08",
        "date_start": "2016-10-01",
        "matrikelnr": "1226809",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Heim-2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 6896211,
                "path": "Publication:Heim-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 463,
                "image_height": 400,
                "name": "Heim-2017-image.JPG",
                "type": "image/jpeg",
                "size": 41540,
                "path": "Publication:Heim-2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/Heim-2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Heim-2017/",
        "__class": "Publication"
    },
    {
        "id": "Wihann_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Statistical Modelling of Microorganisms",
        "date": "2017-02-28",
        "abstract": "Models of a biological organism can support scientists in various fields, such as medicine, pharmacy or biology. When precise macromolecular composition of an organism is to be captured by the model, tens of thousands of protein macromolecules have to be positioned in order to create the model. This process is complicated and time consuming.\nIn this thesis we propose an approach based on statistical modeling of microorganisms,\nwhich enables the creation of such scenes with minimal effort. The modeling is based on decision trees and probability calculations. The basic principle is to start with a random distribution. Then subsequently adjustments from the user on one or several objects, such as molecules, are gathered. These serve as examples to change the orientation and location of all other objects in the scene. The approach is realized in a tool implemented in Unity3D.\n ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 225,
            "image_height": 225,
            "name": "Wihann_2017-image.JPG",
            "type": "image/jpeg",
            "size": 23248,
            "path": "Publication:Wihann_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1385
        ],
        "date_end": "2017-02",
        "date_start": "2016-10",
        "matrikelnr": "1107772",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Wihann_2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 920818,
                "path": "Publication:Wihann_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 225,
                "image_height": 225,
                "name": "Wihann_2017-image.JPG",
                "type": "image/jpeg",
                "size": 23248,
                "path": "Publication:Wihann_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/Wihann_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Wihann_2017/",
        "__class": "Publication"
    },
    {
        "id": "rao-2017-dc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Damage characterization in SFRP using X-ray computed tomography after application of incremental and interrupted in situ quasi static tensile loading",
        "date": "2017-02",
        "abstract": "The use of short fibre reinforced polymers (SFRP) is increasing steadily in automotive and aerospace industries due to its mechanical properties and light weight. The mechanical and physical properties of SFRP depend on the geometrical characterestics of the reinforcing material. Under tensile stress many defects are induced in SFRP composites. X-ray computed tomography (XCT) is a non-destructive method for damage characterization of SFRP. It helps us to understand the material behaviour under different intermediate stress conditions and gauge the strength of the material. This paper aims to study the evolution of various damages in SFRP composite material. The composite consists of a polyamide matrix and 30 wt. % of short glass fibres. Sheets with two types of fibre orientation (0° and 90°) were chosen relative to the flow direction. The damages were induced after application of pre-determined tensile loads in a quasi-static method using an in situ tensile testing device.The tensile force was applied using controlled displacement inside the in situ device. Damages were analysed after every step of force application using XCT at the resolution of 4.5 µm3 voxel size. The workflow based on automatic fibre extraction followed by automated defect detection and classification was used to retrieve quantitative results of the damage evolution. The detected defects were analysed and classified into four types: 1) fibre pull-outs, 2) fibre fractures, 3) matrix fractures and 4) fibre/matrix debonding. The increase in tensile force shows changes in the number and volume of the defects. The classification of defects at every step after applying force helps to understand evolution of damage mechanisms in the stressed region.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1421,
            1170,
            790,
            571,
            611
        ],
        "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017)",
        "lecturer": [
            1421
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.ndt.net/?id=20838",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "rao-2017-dc-paper.pdf",
                "type": "application/pdf",
                "size": 1132321,
                "path": "Publication:rao-2017-dc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/rao-2017-dc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/rao-2017-dc/",
        "__class": "Publication"
    },
    {
        "id": "SCHWAERZLER-2017-SBGM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sketch-based Guided Modeling of 3D Buildings from Oriented Photos",
        "date": "2017-02",
        "abstract": "Capturing urban scenes using photogrammetric methods has become an interesting alternative to laser scanning in the past years. For the reconstruction of CAD-ready 3D models, two main types of interactive approaches have become prevalent: One uses the generated 3D point clouds to reconstruct polygonal surfaces, while the other focuses on 2D interaction in the photos to define edges and faces.\n\nWe propose a novel interactive system that combines and enhances these approaches in order to optimize current reconstruction and modeling workflows. Our main interaction target are the photos, allowing simple 2D interactions and edge-based snapping. We use the underlying segmented point cloud to define the 3D context in which the sketched polygons are projected whenever possible. An intuitive visual guiding interface gives the user feedback on the accuracy to expect with the current state of modeling to keep the necessary interactions at a minimum level.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 497,
            "name": "SCHWAERZLER-2017-SBGM-teaser.png",
            "type": "image/png",
            "size": 337632,
            "path": "Publication:SCHWAERZLER-2017-SBGM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678,
            1466,
            228,
            193
        ],
        "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games",
        "date_from": "2017-02-25",
        "date_to": "2017-02-27",
        "event": "I3D 2017",
        "isbn": "978-1-4503-4886-7",
        "lecturer": [
            1466
        ],
        "location": "San Francisco, CA",
        "pages_from": "9:1",
        "pages_to": "9:8",
        "publisher": "ACM",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "3D modeling",
            "guidance",
            "photogrammetry"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHWAERZLER-2017-SBGM-draft.pdf",
                "type": "application/pdf",
                "size": 36126759,
                "path": "Publication:SCHWAERZLER-2017-SBGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 497,
                "name": "SCHWAERZLER-2017-SBGM-teaser.png",
                "type": "image/png",
                "size": 337632,
                "path": "Publication:SCHWAERZLER-2017-SBGM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/SCHWAERZLER-2017-SBGM-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHWAERZLER-2017-SBGM/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2017-cffet",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparison of Final Fracture Extraction Techniques for Interrupted In situ Tensile Tests of Glass Fiber Reinforced Polymers",
        "date": "2017-02",
        "abstract": "To develop and optimize of advanced composite materials such as glass fiber reinforced polymers (GFRPs) for a specific application area is an important topic. To inspect mechanical properties of GFRPs, material engineers use interrupted in situ tensile tests. During these tests, a test specimen is scanned multiple times in an industrial computed tomography (CT) scanner under various loads, starting from no load until the final fracture of the specimen. In this work we focus on the final step of the interrupted in situ tensile test, which is scanned when the specimen is completely losing its structural integrity in the final fracture zone. The defects occurring in the subsequent loading stages merge and ultimately form the final fracture. For this reason, conventional techniques tend to generate error prone final fracture regions or surfaces and thus require more advanced algorithms for extraction. The main contribution of this paper is found in the comparison of different techniques for extracting the final fracture. In the comparison we outline advantages and drawbacks of the presented techniques relative to each other.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            790,
            571,
            611,
            166
        ],
        "booktitle": "Proceedings of 7th Conference on Industrial Computed Tomography , Leuven , Belgium (iCT 2017) ",
        "lecturer": [
            1170
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.ndt.net/?id=20873",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2017-cffet-paper.pdf",
                "type": "application/pdf",
                "size": 723780,
                "path": "Publication:amirkhanov-2017-cffet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/amirkhanov-2017-cffet-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/amirkhanov-2017-cffet/",
        "__class": "Publication"
    },
    {
        "id": "JAHRMANN-2017-RRTG",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Responsive Real-Time Grass Rendering for General 3D Scenes",
        "date": "2017-02",
        "abstract": "Grass plays an important role in most natural environments. Most interactive applications use image-based techniques to approximate fields of grass due to the high geometrical complexity, leading to visual artifacts. In this paper, we propose a grass-rendering technique that is capable of drawing each blade of grass as geometrical object in real time. Accurate culling methods together with an adaptable rendering pipeline ensure that only the blades of grass that are important for the visual appearance of the field of grass are rendered. In addition, we introduce a physical model that is evaluated for each blade of grass. This enables that a blade of grass can react to its environment by calculating the influence of gravity, wind and collisions. A major advantage of our approach is that it can render fields of grass of arbitrary shape and spatial alignment. Thus, in contrast to previous work, the blades of grass can be placed on any 3D model, which is not required to be a flat surface or a height map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 251,
            "name": "JAHRMANN-2017-RRTG-teaser.jpg",
            "type": "image/jpeg",
            "size": 97586,
            "path": "Publication:JAHRMANN-2017-RRTG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1009,
            193
        ],
        "booktitle": "Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games",
        "date_from": "2017-02-25",
        "date_to": "2017-02-27",
        "event": "I3D 2017",
        "isbn": "978-1-4503-4886-7",
        "lecturer": [
            1009
        ],
        "location": "San Francisco, CA",
        "pages_from": "6:1",
        "pages_to": "6:10",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "grass rendering",
            "hardware tessellation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JAHRMANN-2017-RRTG-draft.pdf",
                "type": "application/pdf",
                "size": 10999422,
                "path": "Publication:JAHRMANN-2017-RRTG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 251,
                "name": "JAHRMANN-2017-RRTG-teaser.jpg",
                "type": "image/jpeg",
                "size": 97586,
                "path": "Publication:JAHRMANN-2017-RRTG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/JAHRMANN-2017-RRTG-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/JAHRMANN-2017-RRTG/",
        "__class": "Publication"
    },
    {
        "id": "Eckelt_2017",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vascular Printing - 3D Printing of Aortic Dissections",
        "date": "2017-01-31",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 361,
            "image_height": 280,
            "name": "Eckelt_2017-image.JPG",
            "type": "image/jpeg",
            "size": 19302,
            "path": "Publication:Eckelt_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1401
        ],
        "date_end": "2017-01-31",
        "date_start": "2016-06-01",
        "matrikelnr": "1127705",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Eckelt_2017-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 14653176,
                "path": "Publication:Eckelt_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 361,
                "image_height": 280,
                "name": "Eckelt_2017-image.JPG",
                "type": "image/jpeg",
                "size": 19302,
                "path": "Publication:Eckelt_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/Eckelt_2017-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Eckelt_2017/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2017-IVAMCS",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis in the Material and Computational Sciences",
        "date": "2017-01-10",
        "abstract": "Visualization and visual computing use computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity concerning volume, veracity, velocity, and variety has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. There is a need for visual analyses, comparative visualization, quantitative visualizations, and scalable visualizations. The simultaneous exploration and visualization of spatial and abstract information is an important case in point. Several examples from the material and computational sciences will be discussed in detail. Given the amplified data variability, interactive visual data analyses are likely to gain in importance in the future. Research challenges and directions are sketched at the end of the talk.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2017-01-10",
        "date_to": "2017-01-10",
        "event": "Workshop on Visual analysis of dynamic processes",
        "lecturer": [
            166
        ],
        "location": "Rigi Kulm, Switzerland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://indico.psi.ch/conferenceDisplay.py?ovw=True&confId=4840",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Groeller-2017-IVAMCS/",
        "__class": "Publication"
    },
    {
        "id": "Kolesar-Fractional-2016",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Fractional Cartesian Composition Model for Semi-Spatial ComparativeVisualization Design",
        "date": "2017-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1192,
            161,
            171,
            176
        ],
        "date_from": "2016-10-23",
        "date_to": "2016-10-28",
        "doi": "10.1109/TVCG.2016.2598870",
        "event": "IEEE VIS 2016",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1192
        ],
        "number": "1",
        "pages": "851-860",
        "volume": "23",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Kolesar-Fractional-2016/",
        "__class": "Publication"
    },
    {
        "id": "kouril-2015-maya2cellview",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Maya2CellVIEW: 3D Package Integrated Tool for Creating Large and Complex Molecular Scenes",
        "date": "2017-01",
        "abstract": "Scientific illustrators communicate the cutting edge of research through their illustrations. There are numerous software tools that assist them with this job. Often they use professional modeling and animation 3D programs which are primarily used in games and movies industry. Because of that however these tools are not suitable for scientific illustration out of the box. There have been attempts to address this issue which brought tremendous results. This work focuses on visualization of structures and processes in biology, focusing mostly on the scales of nano- to micrometers. At this scale we often do not gain much by using hyper-realistic rendering style that the professional software aims for. Instead we want to employ more simplified style which helps to communicate the important story without losing much detail or scientific precision. The aim of this thesis is to push abilities of illustrators working on large scale molecular scenes. This is done by connecting two software packages—Maya and cellVIEW—combining the real-time rendering possibilities of cellVIEW and modeling and animation tools of Maya which results in more effective and efficient workflow.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 935,
            "image_height": 763,
            "name": "kouril-2015-maya2cellview-teaser.png",
            "type": "image/png",
            "size": 602143,
            "path": "Publication:kouril-2015-maya2cellview",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1383
        ],
        "date_end": "2017-02-08",
        "date_start": "2015-10-01",
        "matrikelnr": "1529693",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 935,
                "image_height": 763,
                "name": "kouril-2015-maya2cellview-teaser.png",
                "type": "image/png",
                "size": 602143,
                "path": "Publication:kouril-2015-maya2cellview",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kouril-2015-maya2cellview-thesis.pdf",
                "type": "application/pdf",
                "size": 5758830,
                "path": "Publication:kouril-2015-maya2cellview",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/kouril-2015-maya2cellview-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/kouril-2015-maya2cellview/",
        "__class": "Publication"
    },
    {
        "id": "Koszticsak-2017-ewt",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Expressive Window Thumbnails through Seam Carving",
        "date": "2017",
        "abstract": "Thumbnails are used to display lists of open windows or tabs when switching between\nthem on computers and on mobile devices. These images make it easier to recognize the\nopened applications, and help to find the needed window quicker. Thumbnails however\nonly display a screenshot of the windows, so they get potentially confusing if there are\nmore opened windows or if the same application is opened multiple times. Depending\non the resolution of the display, the screenshot size decreases as the number of opened\nwindows increases. Furthermore, within the same application (like MS Office World)\nthe screenshots are similar in appearance (e.g. : white paper and tool bar), but the\nimportant text is not readable. There are several approaches that filter the important\nareas of the images to enhance the main region. In this bachelor thesis an application is\nimplemented that uses the above methods on screenshots. Screenshots of windows are\nreduced by cropping the irrelevant elements of the margin area using seam carving, i.e.\nby eliminating the non-important pixel paths; and by common down-sampling. As a\nresult the thumbnails show only relevant information, which makes them more expressive\nand easier to fulfill their purpose.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 858,
            "image_height": 481,
            "name": "Koszticsak-2017-ewt-.png",
            "type": "image/png",
            "size": 397429,
            "path": "Publication:Koszticsak-2017-ewt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1351
        ],
        "date_end": "2017-02",
        "date_start": "2016-06",
        "duration": "10 months",
        "matrikelnr": "1325492",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "IllVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 858,
                "image_height": 481,
                "name": "Koszticsak-2017-ewt-.png",
                "type": "image/png",
                "size": 397429,
                "path": "Publication:Koszticsak-2017-ewt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koszticsak-2017-ewt-thesis.pdf",
                "type": "application/pdf",
                "size": 51784684,
                "path": "Publication:Koszticsak-2017-ewt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/Koszticsak-2017-ewt-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/Koszticsak-2017-ewt/",
        "__class": "Publication"
    },
    {
        "id": "mazurek-2017-sio",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stream I/O - An Interactive Visualization of Publication Data",
        "date": "2017",
        "abstract": "The publication database of the Institute of Computer Graphics and Algorithms can\ncurrently be queried by a simple UI which returns a list. Stream I/O, the application\nof this thesis, extends the interface to improve it in terms of overview, exploration and\nanalysis support. To cope with these shortcommings a visualization is added to the user\ninterface. As the publication database includes a lot of additional data attributes, a\nselection of attributes is used for the visualization to give further insight. By using the\nStreamgraph [BW08] visualization, the variations over time within attributes like authors,\npublication type and research areas are made visible. The focus of this visualization lies\nin showing individual attribute values while also conveying the sum. This relationship\nis depicted in a timeline, which allows a user to explore the past and current work of\nthe institute as well as to find relationships and trends in the publications. As the\nvisualization uses a timeline encoding, the directed flow from left to right is interpreted\nas the movement through time. It shows the evolution of different attributes, while the\noccurrence of a topic at a specific time is coded with the width of the layer at a specific\npoint. Searching the database is enriched through multiple viewpoints which give the user\ninsight how attributes relate in the underlying data and how the data is changing through\nhis/her manipulation. Selections of colored layers within the graph can represent bigger\ntrends and give insight into the data as a whole. The Stream I/O application invites\nusers to interactively explore the publication database, while simultaneously gaining new\ninsight through the visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1293,
            "image_height": 562,
            "name": "mazurek-2017-sio-.png",
            "type": "image/png",
            "size": 403642,
            "path": "Publication:mazurek-2017-sio",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1364
        ],
        "date_end": "2017-03",
        "date_start": "2016-05",
        "duration": "4 months",
        "matrikelnr": "0123456",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1293,
                "image_height": 562,
                "name": "mazurek-2017-sio-.png",
                "type": "image/png",
                "size": 403642,
                "path": "Publication:mazurek-2017-sio",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazurek-2017-sio-thesis.pdf",
                "type": "application/pdf",
                "size": 4004622,
                "path": "Publication:mazurek-2017-sio",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/mazurek-2017-sio-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-sio/",
        "__class": "Publication"
    },
    {
        "id": "mazurek-2017-vows",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Thesaurus-Based Web Search",
        "date": "2017",
        "abstract": "The general functions of current web search engines are well established. A box is\nprovided in which to type the queries and the engine returns a result list which users can\nevaluate. The autocomplete suggestions assist users in defining their problems, however\nthere is a lack of support for an iterative manual refinement of the query. This additional\naid can be beneficial when users not know the exact terms to describe the concept they\nare looking for. Therefore, the goal of this project is to show searchers how a slight\nvariation of the query changes the results. With this information, they then can perform\na targeted refinement of the query to access useful information sources. To achieve this\ngoal, each part of the searcher’s query is varied with a thesaurus that provides synonyms\nfor the individual query terms. While performing the user’s original query in a normal\nfashion, variations of this query are conducted in the background. To provide a concise\nvisual summary of the query results, text mining techniques are performed on all gathered\nresults to retrieve the most important key terms for each query variation. This procedure\nresults in a visual overview of what the searcher’s query finds together with what could\nbe found with a slight variation of the query. Additional queries should make users aware\nthat alternative queries may be more appropriate when their original query is poorly\nformulated. In conjunction with some interaction tools, the goal is to reduce the burden\nof refining search queries and therefore making searching the web less complex.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 814,
            "image_height": 539,
            "name": "mazurek-2017-vows-teaser.PNG",
            "type": "image/png",
            "size": 405860,
            "path": "Publication:mazurek-2017-vows",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1364
        ],
        "date_end": "2017-10",
        "date_start": "2017-08",
        "matrikelnr": "1126483",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazurek-2017-vows-report.pdf",
                "type": "application/pdf",
                "size": 540973,
                "path": "Publication:mazurek-2017-vows",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 814,
                "image_height": 539,
                "name": "mazurek-2017-vows-teaser.PNG",
                "type": "image/png",
                "size": 405860,
                "path": "Publication:mazurek-2017-vows",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/mazurek-2017-vows-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mazurek-2017-vows/",
        "__class": "Publication"
    },
    {
        "id": "miao_stateKeylabTalk_2017",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Brain Arteries, the Placenta and DNA Nanostructures in the Context of Abstraction",
        "date": "2017",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1646,
            "image_height": 929,
            "name": "miao_stateKeylabTalk_2017-.png",
            "type": "image/png",
            "size": 771977,
            "path": "Publication:miao_stateKeylabTalk_2017",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "event": "State Key Lab - Zhejiang University",
        "location": "State Key Lab - Zhejiang University",
        "research_areas": [
            "BioVis",
            "IllVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1646,
                "image_height": 929,
                "name": "miao_stateKeylabTalk_2017-.png",
                "type": "image/png",
                "size": 771977,
                "path": "Publication:miao_stateKeylabTalk_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/miao_stateKeylabTalk_2017-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_stateKeylabTalk_2017/",
        "__class": "Publication"
    },
    {
        "id": "miao_tvcg_2017",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Placenta Maps: In Utero Placental Health Assessment of the Human Fetus",
        "date": "2017",
        "abstract": "null",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1236,
            "image_height": 1198,
            "preview_image_width": 1236,
            "preview_image_height": 1198,
            "name": "miao_tvcg_2017-image.png",
            "type": "image/png",
            "size": 588467,
            "path": "Publication:miao_tvcg_2017",
            "preview_name": "miao_tvcg_2017-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 588467,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            869,
            925,
            1423,
            1424,
            1425,
            1426,
            1427,
            1428,
            1429,
            1430,
            563,
            1432,
            166
        ],
        "date_from": "2016-01-01",
        "date_to": "2017-04-21",
        "event": "Pacific Vis 2017",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1263
        ],
        "number": "6",
        "pages_from": "1612",
        "pages_to": "1623",
        "protocol": "null",
        "volume": "23",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1236,
                "image_height": 1198,
                "preview_image_width": 1236,
                "preview_image_height": 1198,
                "name": "miao_tvcg_2017-image.png",
                "type": "image/png",
                "size": 588467,
                "path": "Publication:miao_tvcg_2017",
                "preview_name": "miao_tvcg_2017-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 588467,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "miao_tvcg_2017-paper.pdf",
                "type": "application/pdf",
                "size": 17621975,
                "path": "Publication:miao_tvcg_2017",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/miao_tvcg_2017-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/miao_tvcg_2017/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2017-marion",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization Multi-Pipeline for Communicating Biology",
        "date": "2017",
        "abstract": "We propose a system to facilitate biology communication by developing a pipeline to support the instructional visualization of heterogeneous biological data on heterogeneous user-devices. Discoveries and concepts in biology are typically summarized with illustrations assembled manually from the interpretation and application of heterogenous data. The creation of such illustrations is time consuming, which makes it incompatible with frequent updates to the measured data as new discoveries are made. Illustrations are typically non-interactive, and when an illustration is updated, it still has to reach the user. Our system is designed to overcome these three obstacles. It supports the integration of heterogeneous datasets, reflecting the knowledge that is gained from different data sources in biology. After pre-processing the datasets, the system transforms them into visual representations as inspired by scientific illustrations. As opposed to traditional scientific illustration these representations are generated in real-time - they are interactive. The code generating the visualizations can be embedded in various software environments. To demonstrate this, we implemented both a desktop application and a remote-rendering server in which the pipeline is embedded. The remote-rendering server supports multi-threaded rendering and it is able to handle multiple users simultaneously. This scalability to different hardware environments, including multi-GPU setups, makes our system useful for efficient public dissemination of biological discoveries.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "hidden",
            "image_width": 838,
            "image_height": 601,
            "name": "mindek-2017-marion-.png",
            "type": "image/png",
            "size": 395582,
            "path": "Publication:mindek-2017-marion",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            1383,
            1072,
            1488,
            1489,
            1379,
            166,
            171
        ],
        "date_from": "2017-09-29",
        "date_to": "2017-10-07",
        "event": "IEEE Vis 2017",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            935
        ],
        "location": "Phoenix, Arizona",
        "number": "1",
        "volume": "24",
        "research_areas": [
            "BioVis",
            "IllVis",
            "Rendering"
        ],
        "keywords": [
            "Biological visualization",
            "remote rendering",
            "public dissemination"
        ],
        "weblinks": [
            {
                "href": "https://vimeo.com/238851516",
                "caption": "VIS presentation",
                "description": null,
                "main_file": 0
            }
        ],
        "files": {
            "1": {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2017-marion-Paper.pdf",
                "type": "application/pdf",
                "size": 12037780,
                "path": "Publication:mindek-2017-marion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Paper:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "Preview Movie",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2017-marion-Preview Movie.avi",
                "type": "video/avi",
                "size": 25593216,
                "path": "Publication:mindek-2017-marion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Preview Movie:video.mp4"
            },
            "3": {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2017-marion-Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 95389205,
                "path": "Publication:mindek-2017-marion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/mindek-2017-marion-Slides.pptx",
                "thumb_image_sizes": []
            }
        },
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/mindek-2017-marion/",
        "__class": "Publication"
    },
    {
        "id": "travnicek-2017-thm",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tangible Historical Maps: An Approach Towards Customisable 3D Printed Historical Maps",
        "date": "2017",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 252,
            "image_height": 163,
            "preview_image_width": 252,
            "preview_image_height": 163,
            "name": "travnicek-2017-thm-image.JPG",
            "type": "image/jpeg",
            "size": 14432,
            "path": "Publication:travnicek-2017-thm",
            "preview_name": "travnicek-2017-thm-image:preview.JPG",
            "preview_type": "image/jpeg",
            "preview_size": 14432,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1276
        ],
        "co_supervisor": [
            935
        ],
        "date_end": "2017-01-17",
        "date_start": "2015",
        "duration": "7.8.2015 - 31.1.2016",
        "matrikelnr": "1126286",
        "supervisor": [
            166,
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "travnicek-2017-thm-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 8078032,
                "path": "Publication:travnicek-2017-thm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 252,
                "image_height": 163,
                "preview_image_width": 252,
                "preview_image_height": 163,
                "name": "travnicek-2017-thm-image.JPG",
                "type": "image/jpeg",
                "size": 14432,
                "path": "Publication:travnicek-2017-thm",
                "preview_name": "travnicek-2017-thm-image:preview.JPG",
                "preview_type": "image/jpeg",
                "preview_size": 14432,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/travnicek-2017-thm-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/travnicek-2017-thm/",
        "__class": "Publication"
    },
    {
        "id": "vad_viktor-2017-WVE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Watergate: Visual Exploration of Water Trajectories in Protein Dynamics",
        "date": "2017",
        "abstract": "The function of proteins is tightly related to their interactions with other molecules. The study of such interactions often requires to track the molecules that enter or exit specific regions of the proteins. This is investigated with molecular dynamics simulations, producing the trajectories of thousands of water molecules during hundreds of thousands of time steps. To ease the exploration of such rich spatio-temporal data, we propose a novel workflow for the analysis and visualization of large sets of water-molecule trajectories. Our solution consists of a set of visualization techniques, which help biochemists to classify, cluster, and filter the trajectories and to explore the properties and behavior of selected subsets in detail. Initially, we use an interactive histogram and a time-line visualization to give an overview of all water trajectories and select the interesting ones for further investigation. Further, we depict clusters of trajectories in a novel 2D representation illustrating the flows of water molecules. These views are interactively linked with a 3D representation where we show individual paths, including their simplification, as well as extracted statistical information displayed by isosurfaces. The proposed solution has been designed in tight collaboration with experts to support specific tasks in their scientific workflows. They also conducted several case studies to evaluate the usability and effectiveness of our new solution with respect to their research scenarios. These confirmed that our proposed solution helps in analyzing water trajectories and in extracting the essential information out of the large amount of input data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "preview_image_width": 1474,
            "preview_image_height": 588,
            "name": "vad_viktor-2017-WVE-.pdf",
            "type": "application/pdf",
            "size": 6012581,
            "path": "Publication:vad_viktor-2017-WVE",
            "preview_name": "vad_viktor-2017-WVE-:preview.png",
            "preview_type": "image/png",
            "preview_size": 244889,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1195,
            1254,
            1255,
            171,
            166,
            176,
            1498,
            1499,
            1248
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine 2017",
        "date_from": "2017",
        "lecturer": [
            1195
        ],
        "location": "September, 2017 Bremen, Germany",
        "pages_from": "33",
        "pages_to": "42",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vcbm20171235",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1474,
                "preview_image_height": 588,
                "name": "vad_viktor-2017-WVE-.pdf",
                "type": "application/pdf",
                "size": 6012581,
                "path": "Publication:vad_viktor-2017-WVE",
                "preview_name": "vad_viktor-2017-WVE-:preview.png",
                "preview_type": "image/png",
                "preview_size": 244889,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/vad_viktor-2017-WVE-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/vad_viktor-2017-WVE/",
        "__class": "Publication"
    },
    {
        "id": "ZOTTI-2017-TSP",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Skyscape Planetarium",
        "date": "2017",
        "abstract": "Communicating scientific topics in state of the art exhibitions frequently involves the creation of impressive visual installations. In the exhibition “STONEHENGE. –A Hidden Landscape.” in the MAMUZ museum for prehistory in Mistelbach, Lower Austria, LBI ArchPro presents recent research results from the Stonehenge Hidden Landscape Project. A central element of the exhibition which extends over two floors connected with open staircases is an assembly of original-sized replica of several stones of the central trilithon horseshoe which is seen from both floors. In the upper floor, visitors are at eye level with the lintels, and on a huge curved projection screen which extends along the long wall of the hall they can experience the view out over the Sarsen circle into the surrounding landscape. This paper describes the planning and creation of this part of the exhibition, and some first impressions after opening.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 4914,
            "image_height": 2534,
            "name": "ZOTTI-2017-TSP-image.jpg",
            "type": "image/jpeg",
            "size": 3514929,
            "path": "Publication:ZOTTI-2017-TSP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            1093,
            193
        ],
        "booktitle": "24th SEAC Conference",
        "date_from": "2016-09-12",
        "date_to": "2016-09-16",
        "event": "24th SEAC Conference",
        "issn": "1368-6534",
        "journal": "Culture and Cosmos",
        "lecturer": [
            222
        ],
        "location": "Bath, UK",
        "number": "1",
        "open_access": "no",
        "pages_from": "269",
        "pages_to": "281",
        "volume": "21",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "stellarium"
        ],
        "weblinks": [
            {
                "href": "http://www.cultureandcosmos.org/",
                "caption": "Journal",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4914,
                "image_height": 2534,
                "name": "ZOTTI-2017-TSP-image.jpg",
                "type": "image/jpeg",
                "size": 3514929,
                "path": "Publication:ZOTTI-2017-TSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ZOTTI-2017-TSP-paper.pdf",
                "type": "application/pdf",
                "size": 3211099,
                "path": "Publication:ZOTTI-2017-TSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/ZOTTI-2017-TSP-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/ZOTTI-2017-TSP/",
        "__class": "Publication"
    },
    {
        "id": "gersthofer_2017_COP",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Clipping and Orthogonal Projection in a Point Cloud Viewer",
        "date": "2017",
        "abstract": "Potree is an interactive web-based point cloud renderer. During an\ninternship I was responsible for extending the application by a set of new\nfeatures. That includes a new tool for clipping, an orthographic camera\nmode and some more minor features which are explained in this report.\nThe following report contains information about the changes made to the\nPotree application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "gersthofer_2017_COP-.pdf",
            "type": "application/pdf",
            "size": 4488937,
            "path": "Publication:gersthofer_2017_COP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1292
        ],
        "date_end": "2017",
        "date_start": "2017",
        "matrikelnr": "1325669",
        "supervisor": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point cloud",
            "webgl",
            "potree"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "gersthofer_2017_COP-.pdf",
                "type": "application/pdf",
                "size": 4488937,
                "path": "Publication:gersthofer_2017_COP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/gersthofer_2017_COP-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/gersthofer_2017_COP/",
        "__class": "Publication"
    },
    {
        "id": "SCHEIBLAUER-2015-WFC",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Workflow for Creating and Rendering Huge Point Models",
        "date": "2017",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            826,
            193
        ],
        "booktitle": "Fundamentals of Virtual Archaeology: Theory and Practice",
        "isbn": "9781466594760",
        "note": "(to appear) 15.06.2017",
        "publisher": "A K Peters/CRC Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SCHEIBLAUER-2015-WFC/",
        "__class": "Publication"
    },
    {
        "id": "SifuentesGangl2017FIS",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Follow-up and Inter-patient Studies in a Cohort of Breast Cancer Patients",
        "date": "2017",
        "abstract": "coming soon",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1482,
            1483
        ],
        "date_end": "2017-10-31",
        "date_start": "2017-08-01",
        "matrikelnr": "0607000; 01025756",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SifuentesGangl2017FIS/",
        "__class": "Publication"
    },
    {
        "id": "SIPPL-2017-POS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Projecting Openstreetmap Tiles onto 3D-Surfaces",
        "date": "2017",
        "abstract": "The algorithm/software should project map-data from a tile-based map-service\nonto 3d Geometry or point clouds. Different levels of detail should be available\nand tiles should be downloaded on the fly, while the program is running.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "SIPPL-2017-POS-.pdf",
            "type": "application/pdf",
            "size": 797387,
            "path": "Publication:SIPPL-2017-POS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1419
        ],
        "date_end": "2017",
        "date_start": "2017",
        "matrikelnr": "0820552",
        "supervisor": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Open Street Map",
            "point cloud rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SIPPL-2017-POS-.pdf",
                "type": "application/pdf",
                "size": 797387,
                "path": "Publication:SIPPL-2017-POS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/SIPPL-2017-POS-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/SIPPL-2017-POS/",
        "__class": "Publication"
    },
    {
        "id": "steinboeck-2017-vefp",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of EU Funding Programmes",
        "date": "2017",
        "abstract": "To fund research and technological development, not only in Europe but all over the world, the European Union created so-called Framework Programmes. The data\nof these programmes, containing information about projects, corresponding topics,\nfunding sums, funding periods and recipient countries, is publicly available, but hard\nto analyze without visual support. Therefore, a multiple coordinated view approach is developed in course of this project. The different visualization techniques used, like bar charts, treemap, choropleth map and line graph, make it possible to filter, analyze and further explore the available data through brushing and linking. The project was developed in close collaboration with the end users of the Centre for Social Innovation and received an overall positive feedback from them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screen shot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1920,
            "image_height": 945,
            "name": "steinboeck-2017-vefp-screen shot.png",
            "type": "image/png",
            "size": 208713,
            "path": "Publication:steinboeck-2017-vefp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1378
        ],
        "date_end": "2017-02",
        "date_start": "2016-09",
        "matrikelnr": "0826088",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "screen shot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1920,
                "image_height": 945,
                "name": "steinboeck-2017-vefp-screen shot.png",
                "type": "image/png",
                "size": 208713,
                "path": "Publication:steinboeck-2017-vefp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-screen shot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "technical report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "steinboeck-2017-vefp-technical report.pdf",
                "type": "application/pdf",
                "size": 518813,
                "path": "Publication:steinboeck-2017-vefp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/steinboeck-2017-vefp-technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2017/steinboeck-2017-vefp/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I6",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing and Analysis of Complex Systems",
        "date": "2016-12-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2016-12-09",
        "event": "Invited Talk, State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China",
        "location": "State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I6/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer_2016I1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing — a best practice from Vienna",
        "date": "2016-12-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2016-12-08",
        "event": "National Research University – Higher School of Economics (HSE)",
        "location": "Moskau",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/purgathofer_2016I1/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I5",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing and Analysis of Complex Systems",
        "date": "2016-12-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2016-12-07",
        "event": "Invited talk at SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China",
        "location": "SIGGRAPH Asia 2016 Symposium on Visualization, Macao, China",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I5/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I8",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing for the Analysis of Complex Systems",
        "date": "2016-12-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2016-12-05",
        "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)",
        "location": "Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST), Hong Kong",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I8/",
        "__class": "Publication"
    },
    {
        "id": "forsythe-2016-ccm",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Resolution-independent superpixels based on convex constrained meshes without small angles",
        "date": "2016-12",
        "abstract": "The over-segmentation problem for images is studied in the new resolution-independent formulation when a large image is approximated by a small number of convex polygons with straight edges at subpixel precision. These polygonal superpixels are obtained by refining and extending subpixel edge segments to a full mesh of convex polygons without small angles and with approximation guarantees. Another novelty is the objective error difference between an original pixel-based image and the reconstructed image with a best constant color over each superpixel, which does not need human segmentations. The experiments on images from the Berkeley Segmentation Database show that new meshes are smaller and provide better approximations than the state-of-the-art.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "null",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "forsythe-2016-ccm-image.png",
            "type": "image/png",
            "size": 401897,
            "path": "Publication:forsythe-2016-ccm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1402,
            1403,
            1404
        ],
        "date_from": "2016-12-12",
        "date_to": "2016-12-14",
        "event": "ISVC 2016",
        "issn": "0302-9743",
        "journal": "Lecture Notes in Computer Science (LNCS)",
        "lecturer": [
            1402
        ],
        "location": "Las Vegas",
        "pages_from": "223",
        "pages_to": "233",
        "protocol": "null",
        "volume": "10072",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "superpixels",
            "polygonal mesh",
            "Delaunay triangulation",
            "constrained triangulation",
            "edge detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "null",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "forsythe-2016-ccm-image.png",
                "type": "image/png",
                "size": 401897,
                "path": "Publication:forsythe-2016-ccm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-image:thumb{{size}}.png"
            },
            {
                "description": "null",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "forsythe-2016-ccm-paper.pdf",
                "type": "application/pdf",
                "size": 3354515,
                "path": "Publication:forsythe-2016-ccm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "forsythe-2016-ccm-slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 6295464,
                "path": "Publication:forsythe-2016-ccm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/forsythe-2016-ccm-slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/forsythe-2016-ccm/",
        "__class": "Publication"
    },
    {
        "id": "Mayrhauser-2016-Cnc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Migration of Surface Curve to Most Concave Isoline",
        "date": "2016-12",
        "abstract": "In this paper, I present a solution for migrating a curve on a three dimensional surface to\nthe most concave isoline in its vicinity. Essentially, this problem statement tackles mesh\nsegmentation from a different angle. The search for a suitable segmentation boundary is\nreduced to a shortest path problem.\nFirst, a graph is built using the mesh’s vertices and edges near the input curve. Then,\nthe shortest path is found using the Dijkstra algorithm, whereas a modified weighting\nscheme that makes the passing through of concave edges cheaper, among other factors,\nresults in a path suitable as segmentation boundary.\nThe final algorithm provides segmentation boundaries of a quality similar to existing\nsegmentation algorithms. The runtime generally lies below a second, thus making it\nviable for on the go optimization of the user’s input.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1587,
            "image_height": 868,
            "name": "Mayrhauser-2016-Cnc-image.png",
            "type": "image/png",
            "size": 372053,
            "path": "Publication:Mayrhauser-2016-Cnc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1348
        ],
        "date_end": "2016-12",
        "date_start": "2016-07",
        "matrikelnr": "e0926916",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1587,
                "image_height": 868,
                "name": "Mayrhauser-2016-Cnc-image.png",
                "type": "image/png",
                "size": 372053,
                "path": "Publication:Mayrhauser-2016-Cnc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mayrhauser-2016-Cnc-thesis.pdf",
                "type": "application/pdf",
                "size": 9420121,
                "path": "Publication:Mayrhauser-2016-Cnc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/Mayrhauser-2016-Cnc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mayrhauser-2016-Cnc/",
        "__class": "Publication"
    },
    {
        "id": "mindek-xmas-card-2016",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2016",
        "date": "2016-12",
        "abstract": "As far as we can tell, the Universe is made of atoms. Or pixels. In any case, this Christmas card celebrates both.\n\nThis year's Christmas tree is decorated with a chain of DNA molecules modeled as a spline populated by nucleotides. Several macromolecules of Fibrinogen, Hemoglobin, and Low-Density Lipoprotein are used as decorations as well. All the proteins, as well as the DNA, are modeled down to atomic resolution. The scene is rendered in real-time using cellVIEW - a molecular visualization framework developed at TU Wien and Scripps Research Institute.\n\n***\n\nSoweit wir wissen besteht das Universum aus Atomen. Oder Pixel. Wie auch immer, diese Weihnachtskarte feiert beides.\n\nDer Weihnachtsbaum ist mit einer DNA-Molekülkette geschmückt, modelliert als ein Spline der mit Nukleotiden besetzt ist. Auch mehrere Fibrinogen-, Hämoglobin- und Lipoprotein-Makromoleküle wurden als Dekorationen verwendet. Alle Proteine, als auch die DNA, sind bis auf Atomauflösung modelliert. Die Szene wurde mit cellVIEW in Echtzeit gerendert. cellVIEW ist eine Visualisierungssoftware für Moleküle, die an der TU Wien und dem Scripps Research Institute entwickelt wurde.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Picture",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3366,
            "image_height": 2345,
            "name": "mindek-xmas-card-2016-Picture.png",
            "type": "image/png",
            "size": 7197771,
            "path": "Publication:mindek-xmas-card-2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1260,
            935
        ],
        "research_areas": [
            "BioVis",
            "IllVis",
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "Molecular Visualization",
            "DNA",
            "Proteins"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Picture",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3366,
                "image_height": 2345,
                "name": "mindek-xmas-card-2016-Picture.png",
                "type": "image/png",
                "size": 7197771,
                "path": "Publication:mindek-xmas-card-2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-Picture:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "X-Mas Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-xmas-card-2016-X-Mas Card.pdf",
                "type": "application/pdf",
                "size": 24934677,
                "path": "Publication:mindek-xmas-card-2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/mindek-xmas-card-2016-X-Mas Card:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-xmas-card-2016/",
        "__class": "Publication"
    },
    {
        "id": "JAHRMANN-2016-IGR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Grass Rendering in Real Time Using Modern OpenGL Features",
        "date": "2016-11-16",
        "abstract": "Grass species are an important part of vegetation all over the world and can be found in\nall climatic zones. Therefore, grass can be found in almost all outside scenarios. Until\ntoday, there are only few sophisticated algorithms for rendering grass in real time due to\nthe high amount of geometrical complexity. As a result, most algorithms visualize grass\nas a collection of billboards or use other image-based methods, which have problems\ndealing with animation or physical interaction. Another disadvantage of image-based\nmethods is that they often have artifacts when viewed from specific angles, because they\nare just two-dimensional images embedded in three-dimensional space.\nIn this thesis we will introduce a fully geometric approach of grass rendering working\nat interactive framerates. The algorithm is very generic and is able to be adjusted and\nextended in various ways in order to be applicable to most scenarios of rendering grass\nor grass-like vegetation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 944,
            "image_height": 709,
            "name": "JAHRMANN-2016-IGR-image.png",
            "type": "image/png",
            "size": 1305610,
            "path": "Publication:JAHRMANN-2016-IGR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1009
        ],
        "date_end": "2016-11-16",
        "date_start": "2016-07",
        "diploma_examina": "2016-11-16",
        "matrikelnr": "0826080",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 944,
                "image_height": 709,
                "name": "JAHRMANN-2016-IGR-image.png",
                "type": "image/png",
                "size": 1305610,
                "path": "Publication:JAHRMANN-2016-IGR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JAHRMANN-2016-IGR-poster.pdf",
                "type": "application/pdf",
                "size": 3613464,
                "path": "Publication:JAHRMANN-2016-IGR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JAHRMANN-2016-IGR-thesis.pdf",
                "type": "application/pdf",
                "size": 13187174,
                "path": "Publication:JAHRMANN-2016-IGR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/JAHRMANN-2016-IGR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2016-IGR/",
        "__class": "Publication"
    },
    {
        "id": "Kozlikova-Visualization-2016b",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Biomolecular Structures: State of the Art Revisited",
        "date": "2016-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1248,
            1249,
            1251,
            1250,
            1253,
            171,
            1252,
            1143,
            1026
        ],
        "doi": "10.1111/cgf.13072",
        "journal": "Computer Graphics Forum",
        "number": "XX",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kozlikova-Visualization-2016b/",
        "__class": "Publication"
    },
    {
        "id": "aichner-2016-sadf",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Shape-Aware Deformation of 3D Furniture Models",
        "date": "2016-11",
        "abstract": "Resizing of 3D models can be very useful when creating new models or when reusing\nold ones. However, naive resizing can create serious visual artifacts which destroy the\ncharacteristics of an object. In this thesis an algorithm that protects the features of\n3D models during resizing is introduced. It is specialized for furniture models because\nit should be applied to a furniture configurator. We observed that the distortion that\noccurs during scaling is not distributed uniformly across the object. Our algorithm\nautomatically detects the vulnerable parts of a model and then stretches only the non-\nvulnerable ones. Furthermore, the algorithm takes into account that when scaling a\nmesh in a specific direction, the texture has to be adapted as well in order to prevent\nrepresentation errors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 712,
            "image_height": 244,
            "name": "aichner-2016-sadf-image.png",
            "type": "image/png",
            "size": 73895,
            "path": "Publication:aichner-2016-sadf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1291
        ],
        "co_supervisor": [
            193
        ],
        "date_end": "2016-11-21",
        "date_start": "2015-10",
        "matrikelnr": "1226600",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "geometry processing",
            "shape modeling",
            "shape-aware deformation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 712,
                "image_height": 244,
                "name": "aichner-2016-sadf-image.png",
                "type": "image/png",
                "size": 73895,
                "path": "Publication:aichner-2016-sadf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "aichner-2016-sadf-thesis.pdf",
                "type": "application/pdf",
                "size": 7158555,
                "path": "Publication:aichner-2016-sadf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/aichner-2016-sadf-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/aichner-2016-sadf/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P7",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Depth functions as a quality measure and for steering multidimensional projections",
        "date": "2016-11",
        "abstract": "The analysis of multidimensional data has been a topic of continuous research for many years.This type of data can be found inseveral different areas ofscience. \nThe analysis of multidimensional data has been a topic of continuous research for many years. This type of data can be found in several different areas of science. A common task while analyzing such data is to investigate patterns by interacting with spatializations of the data in a visual domain. Understanding the relation between the underlying dataset characteristics and the technique used to provide its visual representation is of fundamental importance since it can provide a better intuition on what to expect from the spatialization. In this paper, we propose the usage of concepts from non-parametric statistics, namely depth functions, as a quality measure for spatializations. We evaluate the action of multi-dimensional projection techniques on such estimates. We apply both qualitative and quantitative ana-lyses on four different multidimensional techniques selected according to the properties they aim to preserve. We evaluate them with datasets of different characteristics: synthetic, real world, high dimensional; and contaminated with outliers. As a straightforward application, we propose to use depth information to guide multidimensional projection techniques which rely on interaction through control point selection and positioning. Even for techniques which do not intend to preserve any centrality measure, interesting results can be achieved by separating regions possibly contaminated with outliers.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 453,
            "image_height": 362,
            "name": "Groeller_2016_P7-image.PNG",
            "type": "image/png",
            "size": 28144,
            "path": "Publication:Groeller_2016_P7",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1408,
            1195,
            1413,
            166,
            1414,
            1415
        ],
        "issn": "doi: 10.1016/j.cag.2016.08.008",
        "journal": "Computers & Graphics (Special Section on SIBGRAPI 2016)",
        "lecturer": [
            1416
        ],
        "pages_from": "93",
        "pages_to": "106",
        "volume": "60",
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 453,
                "image_height": 362,
                "name": "Groeller_2016_P7-image.PNG",
                "type": "image/png",
                "size": 28144,
                "path": "Publication:Groeller_2016_P7",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2016_P7-Paper.pdf",
                "type": "application/pdf",
                "size": 2203763,
                "path": "Publication:Groeller_2016_P7",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/Groeller_2016_P7-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P7/",
        "__class": "Publication"
    },
    {
        "id": "LeMuzic_2016_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "From Atoms to Cells: Interactive and Illustrative Visualization of Digitally Reproduced Lifeforms",
        "date": "2016-10-06",
        "abstract": "Macromolecules, such as proteins, are the building blocks of the machinery of life, and therefore are essential to the comprehension of physiological processes. In physiology, illustrations and animations are often utilized as a mean of communication because they can easily be understood with little background knowledge. However, their realization\nrequires numerous months of manual work, which is both expensive and time consuming.\nComputational biology experts produce everyday large amount of data that is publicly available and that contains valuable information about the structure and also the function of these macromolecules. Instead of relying on manual work to generate illustrative\nvisualizations of the cell biology, we envision a solution that would utilize all the data already available in order to streamline the creation process.\nIn this thesis are presented several contributions that aim at enabling our vision. First, a novel GPU-based rendering pipeline that allows interactive visualization of realistic molecular datasets comprising up to hundreds of millions of macromolecules. The rendering pipeline is embedded into a popular game engine and well known computer graphics optimizations were adapted to support this type of data, such as level-of-detail, instancing and occlusion queries. Secondly, a new method for authoring cutaway views and improving spatial exploration of crowded molecular landscapes. The system relies on the use of clipping objects that are manually placed in the scene and on visibility\nequalizers that allows fine tuning of the visibility of each species present in the scene.\nAgent-based modeling produces trajectory data that can also be combined with structural information in order to animate these landscapes. The snapshots of the trajectories are often played in fast-forward to shorten the length of the visualized sequences, which also renders potentially interesting events occurring at a higher temporal resolution invisible. The third contribution is a solution to visualize time-lapse of agent-based\nsimulations that also reveals hidden information that is only observable at higher temporal resolutions. And finally, a new type of particle-system that utilize quantitative models as input and generate missing spatial information to enable the visualization of molecular trajectories and interactions. The particle-system produces a similar visual output as\ntraditional agent-based modeling tools for a much lower computational footprint and\nallows interactive changing of the simulation parameters, which was not achievable with previous methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 261,
            "image_height": 261,
            "name": "LeMuzic_2016_PhD-image.jpg",
            "type": "image/jpeg",
            "size": 21110,
            "path": "Publication:LeMuzic_2016_PhD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189
        ],
        "date_end": "2016",
        "date_start": "2013",
        "matrikelnr": "1326132",
        "reviewer_1": [
            171
        ],
        "reviewer_2": [
            1399
        ],
        "rigorosum": "2016-11-23",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 261,
                "image_height": 261,
                "name": "LeMuzic_2016_PhD-image.jpg",
                "type": "image/jpeg",
                "size": 21110,
                "path": "Publication:LeMuzic_2016_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PhD-Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "LeMuzic_2016_PhD-PhD-Thesis.pdf",
                "type": "application/pdf",
                "size": 54355957,
                "path": "Publication:LeMuzic_2016_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/LeMuzic_2016_PhD-PhD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/LeMuzic_2016_PhD/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2016-realmar",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Rendering in Mobile Augmented Reality",
        "date": "2016-10-05",
        "abstract": "Augmented Reality (AR) applications combine a view of a physical, real-world environment\nwith computer-generated objects and effects in real-time. Depending on the application,\nit is desirable to maximize the visual coherence of the virtual objects compared to the\nreal-world image. To achieve this goal, virtual objects have to be rendered as realistically\nas possible. This thesis presents an image-based lighting (IBL) technique for realistic\nrendering of virtual objects on mobile devices which uses lighting information from the\nreal-world environment.\nIn the first step, the presented technique uses a mobile device’s camera and motion sensors\nto capture an omni-directional image of the surrounding in high dynamic range (HDR)\nand stores it in an environment map. In the second step, the captured environment map\nis prepared for rendering with different materials by calculating a set of maps. During\nrendering, the most suitable of these maps are selected for each material and used for\nshading a virtual object with the specific material. The map which contains diffuse\nillumination information is called irradiance map, and the maps which contain glossy or\nspecular illumination information are called reflection maps. The calculation of the maps\ncorresponds to a weighted convolution. The weighting is determined by a reflection model\nwhich takes the correct amount of incident lighting from all directions into account. How\nthese calculations can be performed efficiently on mobile devices is the main focus of this\nthesis. Multiple approaches to perform the calculations are described. Their properties,\nresults, strengths and weaknesses are analyzed and optimizations are proposed.\nWe describe three different approaches for the calculation of irradiance and reflection maps\nin this thesis: the accurate calculation, a MIP-mapping based approximation method,\nand calculation via spherical harmonics (SH) frequency space. We provide detailed\nimplementation instructions, analyses, and discussions for each of these approaches with\nregard to the properties and limitations of mobile devices. Furthermore, we describe how\nthe calculated maps can be used with IBL rendering and be combined with established\nrendering techniques to achieve a high degree of visual coherence of virtual objects in\nAR scenes.\nThe main novelty of this thesis is its focus on the capabilities of mobile devices. We\ndescribe how to do all steps on a single commodity mobile device: From capturing the\nenvironment at a certain point in space, to calculating the irradiance and reflection maps,\nand finally rendering virtual objects using the calculated maps in an AR scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1275,
            "image_height": 686,
            "name": "unterguggenberger-2016-realmar-image.jpg",
            "type": "image/jpeg",
            "size": 195980,
            "path": "Publication:unterguggenberger-2016-realmar",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848
        ],
        "co_supervisor": [
            1720
        ],
        "date_end": "2016-10",
        "date_start": "2014-07",
        "diploma_examina": "2016-11-15",
        "matrikelnr": "00721639",
        "open_access": "no",
        "supervisor": [
            378
        ],
        "research_areas": [],
        "keywords": [
            "Augmented Reality",
            "Mobile",
            "Vuforia",
            "Irradiance Mapping",
            "Reflection Mapping",
            "Spherical Harmonics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1275,
                "image_height": 686,
                "name": "unterguggenberger-2016-realmar-image.jpg",
                "type": "image/jpeg",
                "size": 195980,
                "path": "Publication:unterguggenberger-2016-realmar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2016-realmar-poster.pdf",
                "type": "application/pdf",
                "size": 4222265,
                "path": "Publication:unterguggenberger-2016-realmar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2016-realmar-thesis.pdf",
                "type": "application/pdf",
                "size": 18242639,
                "path": "Publication:unterguggenberger-2016-realmar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/unterguggenberger-2016-realmar-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/unterguggenberger-2016-realmar/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2016-HARVEST4D",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Harvesting Dynamic 3DWorlds from Commodity Sensor Clouds",
        "date": "2016-10",
        "abstract": "The EU FP7 FET-Open project \"Harvest4D: Harvesting Dynamic 3D Worlds from Commodity Sensor Clouds\" deals with the acquisition, processing, and display of dynamic 3D data. Technological progress is offering us a wide-spread availability of sensing devices that deliver different data streams, which can be easily deployed in the real world and produce streams of sampled data with increased density and easier iteration of the sampling process. These data need to be processed and displayed in a new way. The Harvest4D project proposes a radical change in acquisition and processing technology: instead of a goal-driven acquisition that determines the devices and sensors, its methods let the sensors and resulting available data determine the acquisition process. A variety of challenging problems need to be solved: huge data amounts, different modalities, varying scales, dynamic, noisy and colorful data. This short contribution presents a selection of the many scientific results produced by Harvest4D. We will focus on those results that could bring a major impact to the Cultural Heritage domain, namely facilitating the acquisition of the sampled data or providing advanced visual analysis capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 861,
            "image_height": 123,
            "name": "WIMMER-2016-HARVEST4D-image.png",
            "type": "image/png",
            "size": 25487,
            "path": "Publication:WIMMER-2016-HARVEST4D",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1518,
            1519,
            823,
            1520,
            1326,
            1521,
            1522,
            193
        ],
        "booktitle": "Proceedings of the 14th Eurographics Workshop on Graphics and Cultural Heritage",
        "date_from": "2016-10-05",
        "date_to": "2016-10-07",
        "doi": "10.2312/gch.20161378",
        "editor": "Chiara Eva Catalano and Livio De Luca",
        "event": "GCH 2016",
        "isbn": "978-3-03868-011-6",
        "lecturer": [
            1518
        ],
        "location": "Genova, Italy",
        "pages_from": "19",
        "pages_to": "22",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Geometry",
            "Rendering"
        ],
        "keywords": [
            "acquisition",
            "3d scanning",
            "reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 861,
                "image_height": 123,
                "name": "WIMMER-2016-HARVEST4D-image.png",
                "type": "image/png",
                "size": 25487,
                "path": "Publication:WIMMER-2016-HARVEST4D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "WIMMER-2016-HARVEST4D-paper.pdf",
                "type": "application/pdf",
                "size": 11624405,
                "path": "Publication:WIMMER-2016-HARVEST4D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/WIMMER-2016-HARVEST4D-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-HARVEST4D/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I4",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Data Exploration",
        "date": "2016-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2016-10-11",
        "event": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany",
        "location": "Keynote talk at the 21st International Symposium on Vision, Modeling and Visualization (VMV 2016), Bayreuth, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I4/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P6",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "PorosityAnalyzer: Visual Analysis and Evaluation of Segmentation  Pipelines to Determine the Porosity in Fiber-Reinforced Polymers",
        "date": "2016-10",
        "abstract": "In this paper we present PorosityAnalyzer, a novel tool for detailed evaluation and visual analysis of pore segmentation pipelines to determine the porosity in fiber-reinforced polymers (FRPs). The presented tool consists of two modules: the computation module and the analysis module. The computation module enables a convenient setup and execution of distributed off-line-computations on industrial 3D X-ray computed tomography datasets. It allows the user to assemble individual segmentation pipelines in the form of single pipeline steps, and to specify the parameter ranges as well as the sampling of the parameter-space of each pipeline segment. The result of a single segmentation run consists of the input parameters, the calculated 3D binary-segmentation mask, the resulting porosity value, and other derived results (e.g., segmentation pipeline runtime). The analysis module presents the data at different levels of detail by drill-down filtering in order to determine accurate and robust segmentation pipelines. Overview visualizations allow to initially compare and evaluate the segmentation pipelines. With a scatter plot matrix (SPLOM), the segmentation pipelines are examined in more detail based on their input and output parameters. Individual segmentation-pipeline runs are selected in the SPLOM and visually examined and compared in 2D slice views and 3D renderings by using aggregated segmentation masks and statistical contour renderings. PorosityAnalyzer has been thoroughly evaluated with the help of twelve domain experts. Two case studies demonstrate the applicability of our proposed concepts and visualization techniques, and show that our tool helps domain experts to gain new insights and improve their workflow efficiency.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 570,
            "image_height": 436,
            "name": "Groeller_2016_P6-image.PNG",
            "type": "image/png",
            "size": 307225,
            "path": "Publication:Groeller_2016_P6",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1169,
            817,
            166,
            571,
            611
        ],
        "booktitle": "IEEE Conference on Visual Analytics Science and Technology, 2016 (VAST 2016)",
        "lecturer": [
            651
        ],
        "pages_from": "101",
        "pages_to": "110",
        "publisher": "IEEE Computer Society",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://vimeo.com/182984586",
                "caption": "Video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 570,
                "image_height": 436,
                "name": "Groeller_2016_P6-image.PNG",
                "type": "image/png",
                "size": 307225,
                "path": "Publication:Groeller_2016_P6",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/Groeller_2016_P6-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P6/",
        "__class": "Publication"
    },
    {
        "id": "Przemyslaw_Gora_2016_UVU",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Unreal vs Unity: Ein Vergleich zwischen zwei modernen Spiele-Engines",
        "date": "2016-10",
        "abstract": "This bachelor’s thesis focuses on the comparison of two game engines, the Unreal Engine 4 and Unity 5 Engine. We will take a closer look at the different aspects that we find important, describe and compare them. Starting with the content-pipeline, which includes the usage of externally created content, we will focus on three big categories: Audio, Images and 3D-Assets. During this process it will be shown that Unity 5 supports much more formats to import than the Unreal Engine 4. This is especially noticeable with Audio and 3D-Assets. For the latter there is a feature in Unity 5 that allows you to directly import formats of various modelling tools like Maya, although it is fair to mention that in a few cases one will be reverting to the standard way of importing FBX files. While Unreal Engine 4 doesn’t have a huge support for external formats it offers more options to use the assets within the engine. \n\nIn the following chapter we will take a look at the features each engine has to offer. Both, Unreal and Unity, have a big arsenal of tools to simplify various aspects of the development process. Yet again the Unreal Engines offers a greater set of options. Afterwards we will create a simple small project in Unreal Engine 4 and Unity 5 to demonstrate the usability and tools both engines have to offer. As we will see, the level design and placing of some objects in the editor is very similar. The interesting part starts with the creation of a controllable player character. The behaviour of such is realized differently on both sides. In Unity 5 one uses C#-scripts whereas Unreal Engine 4 offers visual scripting. We will compare those two systems and point out their pros and cons.\n\nIn the further course we will take a look at the list of effects from the lecture UE Computergraphik (186.831) and check if they are available in either of both engines. In the last chapter, we’ll take a look at the legal aspects and limitation when using Unreal and Unity. It’s interesting to see how far it is possible to use those engines in university lectures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1393,
            1394
        ],
        "date_end": "2016",
        "date_start": "2015",
        "matrikelnr": "0825680",
        "note": "1",
        "supervisor": [
            193,
            1120
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Unreal, Unity 3D, Game Engine"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Przemyslaw_Gora_2016_UVU-thesis.pdf",
                "type": "application/pdf",
                "size": 9351058,
                "path": "Publication:Przemyslaw_Gora_2016_UVU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Unity Project",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Przemyslaw_Gora_2016_UVU-Unity Project.zip",
                "type": "application/x-zip-compressed",
                "size": 3786768,
                "path": "Publication:Przemyslaw_Gora_2016_UVU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unity Project.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Unreal Project",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Przemyslaw_Gora_2016_UVU-Unreal Project.zip",
                "type": "application/x-zip-compressed",
                "size": 765634,
                "path": "Publication:Przemyslaw_Gora_2016_UVU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/Przemyslaw_Gora_2016_UVU-Unreal Project.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Przemyslaw_Gora_2016_UVU/",
        "__class": "Publication"
    },
    {
        "id": "erler_philipp-2016-femfluid-prakt",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Finite Element Fluids in Matlab",
        "date": "2016-10",
        "abstract": "Implementation of a 2D finite elements free-surface liquid simulation with solid obstables in Matlab.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 801,
            "image_height": 801,
            "name": "erler_philipp-2016-femfluid-prakt-image.png",
            "type": "image/png",
            "size": 33173,
            "path": "Publication:erler_philipp-2016-femfluid-prakt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1395
        ],
        "date_end": "2016-10",
        "date_start": "2015-07",
        "matrikelnr": "1426424",
        "supervisor": [
            1090,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Finite Element Method",
            "FEM",
            "Fluid Simulation"
        ],
        "weblinks": [
            {
                "href": "https://philipperler.net/2016/11/16/fem-fluid/",
                "caption": "Project website with code and videos",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "example with many blockers",
                "filetitle": "animated screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 808,
                "image_height": 808,
                "name": "erler_philipp-2016-femfluid-prakt-animated screenshot.gif",
                "type": "image/gif",
                "size": 4040931,
                "path": "Publication:erler_philipp-2016-femfluid-prakt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-animated screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 801,
                "image_height": 801,
                "name": "erler_philipp-2016-femfluid-prakt-image.png",
                "type": "image/png",
                "size": 33173,
                "path": "Publication:erler_philipp-2016-femfluid-prakt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-image:thumb{{size}}.png"
            },
            {
                "description": "Summary of findings, including an analysis of volume loss with respect to grid resolution and time stepping.",
                "filetitle": "Technical Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "erler_philipp-2016-femfluid-prakt-Technical Report.pdf",
                "type": "application/pdf",
                "size": 16515661,
                "path": "Publication:erler_philipp-2016-femfluid-prakt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/erler_philipp-2016-femfluid-prakt-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/erler_philipp-2016-femfluid-prakt/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger_2016",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gesture-Based Interactive Audio Guide on Tactile Reliefs",
        "date": "2016-10",
        "abstract": "For blind and visually impaired people, tactile reliefs offer many benefits over the more classic raised line drawings     or tactile diagrams, as depth, 3D shape and surface textures are directly perceivable. However, without proper guidance some reliefs are still difficult to explore autonomously.\nIn this work, we present a gesture-controlled interactive audio guide (IAG) based on recent low-cost depth cameras that operates directly on relief surfaces. The interactively explorable,         location-dependent verbal descriptions promise rapid tactile accessibility to 2.5D spatial information in a home or education setting, to on-line resources, or as a kiosk installation at \npublic places.\nWe present a working prototype, discuss design decisions and present the results of two evaluation sessions with a total of \n20 visually impaired test users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 404,
            "image_height": 262,
            "name": "Reichinger_2016-image.jpg",
            "type": "image/jpeg",
            "size": 19342,
            "path": "Publication:Reichinger_2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            228,
            204,
            190
        ],
        "date_from": "2016-10-23",
        "date_to": "2016-10-26",
        "event": "18th International ACM SIGACCESS Conference on Computers and Accessibility",
        "journal": "Proceedings of the 18th International ACM SIGACCESS Conference on Computers & Accessibility",
        "lecturer": [
            879
        ],
        "location": "Reno, Nevada, USA",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 404,
                "image_height": 262,
                "name": "Reichinger_2016-image.jpg",
                "type": "image/jpeg",
                "size": 19342,
                "path": "Publication:Reichinger_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reichinger_2016-Paper.pdf",
                "type": "application/pdf",
                "size": 5469565,
                "path": "Publication:Reichinger_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/Reichinger_2016-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_2016/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger-2016-spaghetti",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spaghetti, Sink and Sarcophagus: Design Explorations of Tactile Artworks for Visually Impaired People",
        "date": "2016-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            190
        ],
        "booktitle": "Proceedings of the 9th Nordic Conference on CHI 2016",
        "date_from": "2016",
        "event": "9th Nordic Conference on CHI 2016",
        "lecturer": [
            879
        ],
        "research_areas": [
            "Fabrication",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger-2016-spaghetti/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2016-POT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Potree: Rendering Large Point Clouds in Web Browsers",
        "date": "2016-09-19",
        "abstract": "This thesis introduces Potree, a web-based renderer for large point clouds. It allows users\nto view data sets with billions of points, from sources such as LIDAR or photogrammetry,\nin real time in standard web browsers.\nOne of the main advantages of point cloud visualization in web browser is that it\nallows users to share their data sets with clients or the public without the need to install\nthird-party applications and transfer huge amounts of data in advance. The focus on\nlarge point clouds, and a variety of measuring tools, also allows users to use Potree to\nlook at, analyze and validate raw point cloud data, without the need for a time-intensive\nand potentially costly meshing step.\nThe streaming and rendering of billions of points in web browsers, without the need\nto load large amounts of data in advance, is achieved with a hierarchical structure that\nstores subsamples of the original data at different resolutions. A low resolution is stored\nin the root node and with each level, the resolution gradually increases. The structure\nallows Potree to cull regions of the point cloud that are outside the view frustum, and\nto render distant regions at a lower level of detail.\nThe result is an open source point cloud viewer, which was able to render point cloud\ndata sets of up to 597 billion points, roughly 1.6 terabytes after compression, in real time\nin a web browser.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.",
            "filetitle": "Matterhorn",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 906,
            "image_height": 741,
            "name": "SCHUETZ-2016-POT-Matterhorn.png",
            "type": "image/png",
            "size": 989456,
            "path": "Publication:SCHUETZ-2016-POT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116
        ],
        "date_end": "2016-09-10",
        "date_start": "2014-08-01",
        "matrikelnr": "0825723",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point cloud rendering",
            "WebGL",
            "LIDAR"
        ],
        "weblinks": [
            {
                "href": "https://github.com/potree",
                "caption": "github repository",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Around 17 billion points. \nPoint cloud courtesy of Open Topography and PG&E.",
                "filetitle": " San Luis Obispo County coast",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 990,
                "name": "SCHUETZ-2016-POT- San Luis Obispo County coast.jpg",
                "type": "image/jpeg",
                "size": 386647,
                "path": "Publication:SCHUETZ-2016-POT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT- San Luis Obispo County coast:thumb{{size}}.png"
            },
            {
                "description": "Around 280 million points.\nPoint cloud courtesy of Pix4D.",
                "filetitle": "Matterhorn",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 906,
                "image_height": 741,
                "name": "SCHUETZ-2016-POT-Matterhorn.png",
                "type": "image/png",
                "size": 989456,
                "path": "Publication:SCHUETZ-2016-POT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Matterhorn:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "SCHUETZ-2016-POT-poster.pdf",
                "type": "application/pdf",
                "size": 18316148,
                "path": "Publication:SCHUETZ-2016-POT",
                "preview_name": "SCHUETZ-2016-POT-poster:preview.png",
                "preview_type": null,
                "preview_size": null,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-poster.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": "Point cloud courtesy of Riegl.",
                "filetitle": "Retz",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 866,
                "image_height": 533,
                "name": "SCHUETZ-2016-POT-Retz.png",
                "type": "image/png",
                "size": 952898,
                "path": "Publication:SCHUETZ-2016-POT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-Retz:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 906,
                "preview_image_height": 741,
                "name": "SCHUETZ-2016-POT-thesis.pdf",
                "type": "application/pdf",
                "size": 95787159,
                "path": "Publication:SCHUETZ-2016-POT",
                "preview_name": "SCHUETZ-2016-POT-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 989456,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/SCHUETZ-2016-POT-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/SCHUETZ-2016-POT/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P4",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for the Exploration and Assessment  of Segmentation Errors",
        "date": "2016-09-07",
        "abstract": "Several diagnostic and treatment procedures require the segmentation of anatomical structures from medical images. However, the automatic model-based methods that are often employed, may produce inaccurate segmentations. These, if used as input for diagnosis or treatment, can have detrimental effects for the patients. Currently, an analysis to predict which anatomic regions are more prone to inaccuracies, and to determine how to improve segmentation algorithms, cannot be performed. We propose a visual tool to enable experts, working on model-based segmentation algorithms, to explore and analyze the outcomes and errors of their methods. Our approach supports the exploration of errors in a cohort of pelvic organ segmentations, where the\nperformance of an algorithm can be assessed. Also, it enables the detailed exploration and assessment of segmentation errors, in individual subjects. To the best of our knowledge, there is no other tool with comparable functionality. A usage scenario is employed to explore and illustrate the capabilities of our visual tool. To further assess the value of the proposed tool, we performed an evaluation with five segmentation experts. The evaluation participants confirmed the potential of the tool in providing new insight into their data and employed algorithms. They also gave feedback for future improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 360,
            "image_height": 335,
            "name": "Groeller_2016_P4-image.PNG",
            "type": "image/png",
            "size": 191339,
            "path": "Publication:Groeller_2016_P4",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1411,
            679,
            166,
            459,
            1412
        ],
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "lecturer": [
            161,
            563,
            459
        ],
        "pages_from": "193",
        "pages_to": "202",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 360,
                "image_height": 335,
                "name": "Groeller_2016_P4-image.PNG",
                "type": "image/png",
                "size": 191339,
                "path": "Publication:Groeller_2016_P4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2016_P4-Paper.pdf",
                "type": "application/pdf",
                "size": 8104018,
                "path": "Publication:Groeller_2016_P4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/Groeller_2016_P4-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P4/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2016-fowardabstraction",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Transitions in Molecular Visualization via Forward and Inverse Abstraction Transform",
        "date": "2016-09",
        "abstract": "A challenging problem in biology is the incompleteness of acquired information when visualizing biological phenomena. Structural biology generates detailed models of viruses or bacteria at different development stages, while the processes that relate one stage to another are often not clear. Similarly, the entire life cycle of a biological entity might be available as a quantitative model, while only one structural model is available. If the relation between two models is specified at a lower level of detail than the actual models themselves, the two models cannot be interpolated correctly. We propose a method that deals with the visualization of incomplete data information in the developmental or evolutionary states of biological mesoscale models, such as viruses or microorganisms. The central tool in our approach is visual abstraction. Instead of directly interpolating between two models that show different states of an organism, we gradually forward transform the models into a level of visual abstraction that matches the level of detail of the modeled relation between them. At this level, the models can be interpolated without conveying false information. After the interpolation to the new state, we apply the inverse transformation to the model’'s original level of abstraction. To show the flexibility of our approach, we demonstrate our method on the basis of molecular data, in particular data of the HIV virion and the mycoplasma bacterium.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2084,
            "image_height": 1027,
            "name": "sorger-2016-fowardabstraction-teaser.png",
            "type": "image/png",
            "size": 2349725,
            "path": "Publication:sorger-2016-fowardabstraction",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            935,
            1285,
            1379,
            171
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM)",
        "editor": "S. Bruckner, B. Preim, and A. Vilanova",
        "location": "Bergen",
        "organization": "Eurographics",
        "pages_from": "21",
        "pages_to": "30",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2016-fowardabstraction-paper.pdf",
                "type": "application/pdf",
                "size": 4626761,
                "path": "Publication:sorger-2016-fowardabstraction",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2084,
                "image_height": 1027,
                "name": "sorger-2016-fowardabstraction-teaser.png",
                "type": "image/png",
                "size": 2349725,
                "path": "Publication:sorger-2016-fowardabstraction",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2016-fowardabstraction-video.mp4",
                "type": "video/mp4",
                "size": 41423527,
                "path": "Publication:sorger-2016-fowardabstraction",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/sorger-2016-fowardabstraction-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2016-fowardabstraction/",
        "__class": "Publication"
    },
    {
        "id": "Mistelbauer_Gabriel_2016",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Aortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessment",
        "date": "2016-09",
        "abstract": "Aortic dissection is a life threatening condition of the aorta, characterized by separation of its wall layers into a true and false lumen. A subset of patients require immediate surgical or endovascular repair. All survivors of the acute phase need long-term surveillance with imaging to monitor chronic degeneration and dilatation of the false lumen and prevent late adverse events such as rupture, or malperfusion. We introduce four novel plots displaying features of aortic dissections known or presumed to be associated with risk of future adverse events: Aortic diameter, the blood supply (outflow) to the aortic branches from the true and false lumen, the previous treatment, and an estimate of adverse event-free probabilities in one, two and 5 years. Aortic dissection maps, the composite visualization of these plots, provide a baseline for visual comparison of the complex features and associated risk of aortic dissection. These maps may lead to more individualized monitoring and improved, patient-centric treatment planning in the future.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 883,
            "image_height": 679,
            "name": "Mistelbauer_Gabriel_2016-image.jpg",
            "type": "image/jpeg",
            "size": 91398,
            "path": "Publication:Mistelbauer_Gabriel_2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869,
            950,
            1388,
            1389,
            1390,
            164
        ],
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine (2016)",
        "lecturer": [
            161
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 883,
                "image_height": 679,
                "name": "Mistelbauer_Gabriel_2016-image.jpg",
                "type": "image/jpeg",
                "size": 91398,
                "path": "Publication:Mistelbauer_Gabriel_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Mistelbauer_Gabriel_2016-Paper.pdf",
                "type": "application/pdf",
                "size": 7675802,
                "path": "Publication:Mistelbauer_Gabriel_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/Mistelbauer_Gabriel_2016-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Mistelbauer_Gabriel_2016/",
        "__class": "Publication"
    },
    {
        "id": "prost-2016-molecule",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Molecule-Rendering in Unity3D",
        "date": "2016-09",
        "abstract": "Due to their omnipresence and ease of use, smart phones are getting more and more utilized\nas educational instruments for different subjects, for example, visualizing molecules in a chemistry class. In domain-specific mobile visualization applications, the choice of the ideal visualization technique of molecules can vary based on the background and age of the target group, and mostly depends on the choice of a graphical designer. Designers, however, rarely have sufficient programming skills and require an engineer even for the slightest adjustment in the required visual appearance. In this thesis we present a configuration system for rendering effects implemented in Unity3D, that allows to define the visual appearance of a molecule in a JSON file without the need of programming knowledge. We discuss the technical realization of different rendering effects on a mobile platform, and demonstrate our system and its versatility on a commercial chemistry visualization app, creating different visual styles for molecule renderings that are appealing to students as well as scientists and advertisement.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 365,
            "image_height": 368,
            "name": "prost-2016-molecule-image.jpg",
            "type": "image/jpeg",
            "size": 25682,
            "path": "Publication:prost-2016-molecule",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1377
        ],
        "date_end": "2016-09",
        "date_start": "2015-10",
        "matrikelnr": "1225511",
        "supervisor": [
            193,
            799
        ],
        "research_areas": [
            "IllVis",
            "Rendering"
        ],
        "keywords": [
            "molecule visualization",
            "Unity",
            "rendering effects",
            "mobile devices"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 365,
                "image_height": 368,
                "name": "prost-2016-molecule-image.jpg",
                "type": "image/jpeg",
                "size": 25682,
                "path": "Publication:prost-2016-molecule",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 386,
                "preview_image_height": 387,
                "name": "prost-2016-molecule-thesis.pdf",
                "type": "application/pdf",
                "size": 13068587,
                "path": "Publication:prost-2016-molecule",
                "preview_name": "prost-2016-molecule-thesis:preview.jpg",
                "preview_type": "image/jpeg",
                "preview_size": 25787,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/prost-2016-molecule-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prost-2016-molecule/",
        "__class": "Publication"
    },
    {
        "id": "dworschak-2016-szcm",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantically Zoomable Choropleth Map",
        "date": "2016-09",
        "abstract": "Geographic visualizations, like choropleth maps, are used to visualize data on geographic\nregions. In this thesis a choropleth map was implemented to display quantities of\npublications of scientific texts and papers. With the use of a choropleth map the viewer\nis able to interpret how quantitative data changes on different geographic regions. The\nmain feature that distinguishes the implemented choropleth map from conventional ones\nis the use of map navigation. The choropleth map can be zoomed and panned to different\nmap regions. What makes this map navigation so special is the use of semantic zooming\nto allow the level of detail of the map to change on discrete zoom steps. The change\nof the level of detail means that administrative regions are being divided into smaller\nadministrative regions which are than again colorized individually to create a new, more\ndetailed, choropleth map. Other interactions with the choropleth map are introduced\nadditionally. The other interactions with the map range from the manipulation of the\nmap appearance to filtering the displayed data set.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 637,
            "image_height": 185,
            "name": "dworschak-2016-szcm-teaser.png",
            "type": "image/png",
            "size": 73351,
            "path": "Publication:dworschak-2016-szcm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1353
        ],
        "date_end": "2016-09",
        "date_start": "2016-05",
        "duration": "5 months",
        "matrikelnr": "1225883",
        "supervisor": [
            1110
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 637,
                "image_height": 185,
                "name": "dworschak-2016-szcm-teaser.png",
                "type": "image/png",
                "size": 73351,
                "path": "Publication:dworschak-2016-szcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dworschak-2016-szcm-thesis.pdf",
                "type": "application/pdf",
                "size": 6720884,
                "path": "Publication:dworschak-2016-szcm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/dworschak-2016-szcm-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/dworschak-2016-szcm/",
        "__class": "Publication"
    },
    {
        "id": "JAHRMANN-2015-GRASS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Real-Time Grass Rendering",
        "date": "2016-09",
        "abstract": "Improvements of real-time grass rendering",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1009
        ],
        "date_end": "2016-09-21",
        "date_start": "2015-03-12",
        "matrikelnr": "0826080",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/JAHRMANN-2015-GRASS/",
        "__class": "Publication"
    },
    {
        "id": "Spechtenhauser_Florian_2016",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Rule-Based Quality Management of Multivariate Data",
        "date": "2016-08",
        "abstract": "Ensuring an appropriate data quality is a critical topic when analyzing the ever increasing amounts of data collected and generated in today’s world. Depending on the given task, even sophisticated analysis methods may cause misleading results due to an insufficient quality of the data set at hand. In this case, automated plausibility checks based on defined rules are frequently used to detect data problems such as missing data or anomalies.\nHowever, defining such rules and using their results for an efficient data quality\nassessment is a challenging topic. Visualization is powerful to reveal unexpected problems in the data, and can additionally be used to validate results of applied automated plausibility checks. Visual Analytics closes the gap between automated data analysis and visualization by providing means to guide the definition and optimization of plausibility checks in order to use them for a continuous  detection and validation of problems detected in the data.\nThis diploma thesis provides a design study of a Visual Analytics approach, called Data Quality Overview, which provides a detailed, yet scalable summary of the results of defined plausibility checks, and includes means for validation and investigation of these results at various levels of detail. The approach is based on a detailed task analysis of\ndata quality assessment, and is validated using a case study based on sensor data from the energy sector in addition to feedback collected from domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 549,
            "image_height": 522,
            "name": "Spechtenhauser_Florian_2016-image.jpg",
            "type": "image/jpeg",
            "size": 60977,
            "path": "Publication:Spechtenhauser_Florian_2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1094
        ],
        "date_end": "2016-08",
        "date_start": "2015",
        "matrikelnr": "0826226",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 549,
                "image_height": 522,
                "name": "Spechtenhauser_Florian_2016-image.jpg",
                "type": "image/jpeg",
                "size": 60977,
                "path": "Publication:Spechtenhauser_Florian_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Spechtenhauser_Florian_2016-thesis.pdf",
                "type": "application/pdf",
                "size": 15688971,
                "path": "Publication:Spechtenhauser_Florian_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/Spechtenhauser_Florian_2016-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Spechtenhauser_Florian_2016/",
        "__class": "Publication"
    },
    {
        "id": "Tucek_Tom-2016-aai",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Agent-based architecture for artistic real-time installation",
        "date": "2016-08",
        "abstract": "The aim of this thesis is to transfer artistically predetermined scenarios and behaviours\nfor several digital figures acting in the context of an artistic art installation\ninto an agent based system and develop the corresponding agent behaviours.\nFor his purpose the agent-oriented programming language called AgentSpeak is used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1534
        ],
        "date_end": "2017",
        "date_start": "2016-08",
        "matrikelnr": "1325775",
        "supervisor": [
            193,
            1128
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Tucek_Tom-2016-aai/",
        "__class": "Publication"
    },
    {
        "id": "Wang-2016-BAC",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Game Design Patterns for CPU Performance Gain in Games\t",
        "date": "2016-08",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1570
        ],
        "date_end": "2016-08",
        "date_start": "2016-01",
        "matrikelnr": "1226083",
        "supervisor": [
            193,
            1120
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 790,
                "image_height": 589,
                "name": "Wang-2016-BAC-image.png",
                "type": "image/png",
                "size": 634295,
                "path": "Publication:Wang-2016-BAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wang-2016-BAC-thesis.pdf",
                "type": "application/pdf",
                "size": 1041340,
                "path": "Publication:Wang-2016-BAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/Wang-2016-BAC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Wang-2016-BAC/",
        "__class": "Publication"
    },
    {
        "id": "WEYDEMANN-2016-NUO",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-Uniform Offsetting of Surfaces",
        "date": "2016-08",
        "abstract": "Berechnung von Offset-Flächen per adaptivem Octree, sowie die Umwandlung in Dreiecksnetze, in etwa nach folgendem Paper [1].  https://www.graphics.rwth-aachen.de/media/papers/EG08_Pavic_offset_041.pdf",
        "authors_et_al": false,
        "substitute": "weydemann-2025-noo",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5531
        ],
        "date_start": "2016-08-09",
        "matrikelnr": "0925369",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WEYDEMANN-2016-NUO/",
        "__class": "Publication"
    },
    {
        "id": "Kehl-Direct-2016",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Direct Image-to-Geometry Registration Using Mobile Sensor Data",
        "date": "2016-07",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1514,
            1515,
            1516,
            171,
            1156
        ],
        "date_from": "2016",
        "date_to": "2016",
        "doi": "10.5194/isprs-annals-III-2-121-2016",
        "event": "ISPRS",
        "journal": "ISPRS Annals of Photogrammetry, Remote Sensing and Spatial InformationSciences",
        "lecturer": [
            1514
        ],
        "pages": "121–128",
        "pages_from": "121",
        "pages_to": "128",
        "volume": "III-2",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kehl-Direct-2016/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2016-rpe",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Relation-Based Parametrization and Exploration of Shape Collections",
        "date": "2016-07",
        "abstract": "With online repositories for 3D models like 3D Warehouse becoming more prevalent and growing ever larger, new possibilities have opened up for both experienced and inexperienced users alike. These large collections of shapes can provide inspiration for designers or make it possible to synthesize new shapes by combining different parts from already existing shapes, which can be both easy to learn and a fast way of creating new shapes.\n\nBut exploring large shape collections or searching for particular kinds of shapes can be difficult and time-consuming tasks as well, especially considering that online repositories are often disorganized. In our work, we propose a relation-based way to parametrize shape collections, allowing the user to explore the entire set of shapes by controlling a small number of parameters.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1589,
            "image_height": 1028,
            "name": "leimer-2016-rpe-thumbnail.jpg",
            "type": "image/jpeg",
            "size": 835063,
            "path": "Publication:leimer-2016-rpe",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019,
            193,
            844
        ],
        "booktitle": "ACM SIGGRAPH 2016 Posters",
        "date_from": "2016-07-24",
        "date_to": "2016-07-28",
        "event": "ACM SIGGRAPH 2016",
        "isbn": "978-1-4503-4371-8",
        "location": "Anaheim, CA, USA",
        "pages_from": "34:1",
        "pages_to": "34:1",
        "publisher": "ACM",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "3D database exploration",
            "shape analysis",
            "shape collections"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "abstract",
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2016-rpe-abstract.pdf",
                "type": "application/pdf",
                "size": 1415754,
                "path": "Publication:leimer-2016-rpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-abstract:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3434,
                "image_height": 2277,
                "name": "leimer-2016-rpe-image.jpg",
                "type": "image/jpeg",
                "size": 2935937,
                "path": "Publication:leimer-2016-rpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-image:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2016-rpe-poster.pdf",
                "type": "application/pdf",
                "size": 1305359,
                "path": "Publication:leimer-2016-rpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-poster:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1589,
                "image_height": 1028,
                "name": "leimer-2016-rpe-thumbnail.jpg",
                "type": "image/jpeg",
                "size": 835063,
                "path": "Publication:leimer-2016-rpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-thumbnail:thumb{{size}}.png"
            },
            {
                "description": "video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2016-rpe-video.mp4",
                "type": "video/mp4",
                "size": 7108944,
                "path": "Publication:leimer-2016-rpe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/leimer-2016-rpe-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-rpe/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2016-gft",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": " The Accuracy of Gauge-Figure Tasks in Monoscopic and Stereo Displays",
        "date": "2016-07",
        "abstract": "The gauge-figure task (GFT) is a widespread method used to study surface perception for evaluating rendering and visualization techniques. The authors investigate how accurately slant angles probed on well-defined objects align with the ground truth (GT) in monoscopic and stereoscopic displays. Their results show that the GFT probes taken with well-defined objects align well with the GT in the all-monoscopic and all-stereoscopic conditions. However, they found that a GF rendered in stereo over a monoscopic stimulus results in a strong slant underestimation and that an overestimation occurred in the inverse case (monoscopic GF andstereoscopic stimulus). They discuss how their findings affect the interpretation of absolute GFT measures, compared to the GT normal.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 216,
            "image_height": 205,
            "name": "bernhard-2016-gft-.jpg",
            "type": "image/jpeg",
            "size": 38475,
            "path": "Publication:bernhard-2016-gft",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            1110,
            1293,
            896,
            171
        ],
        "journal": "IEEE Computer Graphics and Applications",
        "number": "4",
        "pages_from": "56",
        "pages_to": "66",
        "volume": "36",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "computer graphics",
            "gauge-figure task",
            "perceptual visualization",
            "shape perception"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7478440",
                "caption": "IEEE Xplore",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 216,
                "image_height": 205,
                "name": "bernhard-2016-gft-.jpg",
                "type": "image/jpeg",
                "size": 38475,
                "path": "Publication:bernhard-2016-gft",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/bernhard-2016-gft-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/bernhard-2016-gft/",
        "__class": "Publication"
    },
    {
        "id": "schmidt-phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scalable Comparative Visualization",
        "date": "2016-06-28",
        "abstract": "The comparison of two or more objects is getting an increasingly important task in data analysis. Visualization systems successively have to move from representing one phenomenon to allowing users to analyze several datasets at once. Visualization systems can support the users in several ways. Firstly, comparison tasks can be supported in a very intuitive way by allowing users to place objects that should be compared in an appropriate context. Secondly, visualization systems can explicitly compute differences among the datasets and present the results to the user. In comparative visualization, researchers are working on new approaches for computer-supported techniques that provide data comparison functionality. Techniques from this research field can be used to compare two objects with each other, but often reach their limits if a multitude of objects (i.e., 100 or more) have to be compared. Large data collections that contain a lot of individual, but related, datasets with slightly different characteristics can be called ensembles. The individual datasets being part of an ensemble are called the ensemble members. Ensembles have been created in the simulation domain, especially for weather and climate research, for already quite some time. These domains were greatly driving the development of ensemble visualization techniques. Due to the availability of affordable computing resources and the multitude of different analysis algorithms (e.g., for segmentation), other domains nowadays also face similar problems. All together, this shows a great need for ensemble visualization techniques in various domains. Ensembles can either be analyzed in a feature-based or in a location-based way. In the case of a location-based analysis, the ensemble members are compared based on certain spatial data positions of interest. For such an analysis, local selection and analysis techniques for ensembles are needed.\n\nIn the course of this thesis different visual analytics techniques for the comparative visualization of datasets have been researched. A special focus has been set on providing scalable techniques, which makes them also suitable for ensemble datasets. The proposed techniques operate on different dataset types in 2D and 3D. In the first part of the thesis, a visual analytics approach for the analysis of 2D image datasets is introduced. The technique analyzes localized differences in 2D images. The approach not only identifies differences in the data, but also provides a technique to quickly find out what the differences are, and judge upon the underlying data. This way patterns can be found in the data, and outliers can be identified very quickly. As a second part of the thesis, a scalable application for the comparison of several similar 3D mesh datasets is described. Such meshes may be, for example, created by point-cloud reconstruction algorithms, using different parameter settings. Similar to the proposed technique for the comparison of 2D images, this application is also scalable to a large number of individual datasets. The application enables the automatic comparison of the meshes, searches interesting regions in the data, and allows users to also concentrate on local regions of interest. The analysis of the local regions is in this case done in 3D. The application provides the possibility to arrange local regions in a parallel coordinates plot. The regions are represented by the axes in the plot, and the input meshes are depicted as polylines. This way it can be very quickly spotted whether meshes produce good/bad results in a certain local region. In the third and last part of the thesis, a technique for the interactive analysis of local regions in a volume ensemble dataset is introduced. Users can pick regions of interest, and these regions can be arranged in a graph according to their similarity. The graph can then be used to detect similar regions with a similar data distribution within the ensemble, and to compare individual ensemble members against the rest of the ensemble. All proposed techniques and applications have been tested with real-world datasets from different domains. The results clearly show the usefulness of the techniques for the comparative analysis of ensembles.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 603,
            "image_height": 446,
            "name": "schmidt-phd-teaser.png",
            "type": "image/png",
            "size": 11954,
            "path": "Publication:schmidt-phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            950
        ],
        "date_end": "2016",
        "date_start": "2011",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            161
        ],
        "rigorosum": "2016-06-28",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 603,
                "image_height": 446,
                "name": "schmidt-phd-teaser.png",
                "type": "image/png",
                "size": 11954,
                "path": "Publication:schmidt-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 589,
                "preview_image_height": 460,
                "name": "schmidt-phd-thesis.pdf",
                "type": "application/pdf",
                "size": 42185190,
                "path": "Publication:schmidt-phd",
                "preview_name": "schmidt-phd-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 814656,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/schmidt-phd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL",
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schmidt-phd/",
        "__class": "Publication"
    },
    {
        "id": "Reimerth_Saskia_2016_RGU",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Redesigning the Graphical User Interface of an Application for Visualizing prenatal 3D Ultrasound Scans",
        "date": "2016-06-19",
        "abstract": "The goal of this Bachelor’s thesis was to take an existing application for the representation\nof volume data and redesign the user interface for the use as an application to represent\n3D ultra sound scans of babies. Therefore the original design got evaluated and reduced\nto the most important functions. A requirement analysis was conducted and based on it,\na modern and simple Design got developed. After this iterative process, a prototype was\ncreated, which then got evaluated again.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1368
        ],
        "matrikelnr": "0807136",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 3183044,
                "path": "Publication:Reimerth_Saskia_2016_RGU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/Reimerth_Saskia_2016_RGU-Bachelor Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reimerth_Saskia_2016_RGU/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2016-FUTURIS",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Creating 3D models with your mobile phone",
        "date": "2016-06-06",
        "abstract": "TV Spot describing the Harvest4D project.\n\nIn this edition of Futuris, we look at whether our smartphones can help to create sophisticated 3D models...",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 360,
            "name": "WIMMER-2016-FUTURIS-screenshot.jpg",
            "type": "image/jpeg",
            "size": 70012,
            "path": "Publication:WIMMER-2016-FUTURIS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "channel": "EuroNews",
        "duration": "4:17",
        "program": "Futuris",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.euronews.com/2016/06/06/creating-3d-models-with-your-mobile-phone/",
                "caption": null,
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://harvest4d.org",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 360,
                "name": "WIMMER-2016-FUTURIS-screenshot.jpg",
                "type": "image/jpeg",
                "size": 70012,
                "path": "Publication:WIMMER-2016-FUTURIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-screenshot:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "WIMMER-2016-FUTURIS-video.mp4",
                "type": "video/mp4",
                "size": 26898717,
                "path": "Publication:WIMMER-2016-FUTURIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/WIMMER-2016-FUTURIS-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/WIMMER-2016-FUTURIS/",
        "__class": "Publication"
    },
    {
        "id": "weydemann-praktikum-2016",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing Deep Reinforcement Learning",
        "date": "2016-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5531
        ],
        "matrikelnr": "0925369",
        "research_areas": [],
        "keywords": [
            "dqn",
            "reinforcement learning",
            "neural networks"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/weydemann-praktikum-2016/",
        "__class": "Publication"
    },
    {
        "id": "Gadllah_Hani_2016",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visualization of the Circle of Willis",
        "date": "2016-06",
        "abstract": "The human brain is supplied with blood by arteries that form a collateral circulation, the so-called Circle of Willis (CoW). The anatomy of the CoW varies considerably among the population. In fact, depending on the study, just 13% to 72% of the population does have the typical textbook illustration of the CoW. Although divergent configurations are usually not pathological, some incomplete configurations increase the risk of stroke.\nFurthermore, studies suggest an association between certain neurological diseases and abnormal configurations of the CoW. Thus, for the diagnosis and treatment of diverse neurological diseases the assessment of the patient’s CoW is an important issue. This thesis addresses the development of a software for a comparative visualization of the CoWs\nof a population with the CoWs of a second population. For this purpose, an average CoW is calculated for each of the populations. The two resulting CoWs are then visualized side-by-side, so that the viewer is able to distinguish differences between the CoWs of the two populations with relatively little effort. The aim of this visualization is the support\nof studies that consider the clinical significance of the different CoW configurations as well as the support of diagnosis and treatment of diseases that are caused by an abnormal configuration of the CoW. The latter can be achieved by comparing the patient’s CoW with datasets of risk groups or with a dataset of a healthy population. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 909,
            "image_height": 804,
            "name": "Gadllah_Hani_2016-image.png",
            "type": "image/png",
            "size": 120201,
            "path": "Publication:Gadllah_Hani_2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1356
        ],
        "date_end": "2016-06",
        "date_start": "2016-02",
        "matrikelnr": "1128636",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 909,
                "preview_image_height": 804,
                "name": "Gadllah_Hani_2016-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 1537208,
                "path": "Publication:Gadllah_Hani_2016",
                "preview_name": "Gadllah_Hani_2016-Bachelor Thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 120201,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 909,
                "image_height": 804,
                "name": "Gadllah_Hani_2016-image.png",
                "type": "image/png",
                "size": 120201,
                "path": "Publication:Gadllah_Hani_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/Gadllah_Hani_2016-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Gadllah_Hani_2016/",
        "__class": "Publication"
    },
    {
        "id": "karimov-2016-GIVE",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Guided Interactive Volume Editing in Medicine",
        "date": "2016-06",
        "abstract": "Various medical imaging techniques, such as Computed Tomography, Magnetic Resonance Imaging, Ultrasonic Imaging, are now gold standards in the diagnosis of different diseases.\nThe diagnostic process can be greatly improved with the aid of automatic and interactive analysis tools, which, however, require certain prerequisites in order to operate.\nSuch analysis tools can, for example, be used for pathology assessment, various standardized measurements, treatment and operation planning.\nOne of the major requirements of such tools is the segmentation mask of an object-of-interest.\nHowever, the segmentation of medical data remains subject to errors and mistakes.\nOften, physicians have to manually inspect and correct the segmentation results, as (semi-)automatic techniques do not immediately satisfy the required quality.\nTo this end, interactive segmentation editing is an integral part of medical image processing and visualization.\n\nIn this thesis, we present three advanced segmentation-editing techniques.\nThey are focused on simple interaction operations that allow the user to edit segmentation masks quickly and effectively.\nThese operations are based on a topology-aware representation that captures structural features of the segmentation mask of the object-of-interest.\n\nFirstly, in order to streamline the correction process, we classify segmentation defects according to underlying structural features and propose a correction procedure for each type of defect.\nThis alleviates users from manually applying the proper editing operations, but the segmentation defects still have to be located by users.\n\nSecondly, we extend the basic editing process by detecting regions that potentially contain defects.\nWith subsequently suggested correction scenarios, users are hereby immediately able to correct a specific defect, instead of manually searching for defects beforehand.\nFor each suggested correction scenario, we automatically determine the corresponding region of the respective defect in the segmentation mask and propose a suitable correction operation.\nIn order to create the correction scenarios, we detect dissimilarities within the data values of the mask and then classify them according to the characteristics of a certain type of defect.\nPotential findings are presented with a glyph-based visualization that facilitates users to interactively explore the suggested correction scenarios on different levels-of-detail.\nAs a consequence, our approach even offers users the possibility to fine-tune the chosen correction scenario instead of directly manipulating the segmentation mask, which is a time-consuming and cumbersome task.\n\nThird and finally, we guide users through the multitude of suggested correction scenarios of the entire correction process.\nAfter statistically evaluating all suggested correction scenarios, we rank them according to their significance of dissimilarities, offering fine-grained editing capabilities at a user-specified level-of-detail.\nAs we visually convey this ranking in a radial layout, users can easily spot and select the most (or the least) dissimilar correction scenario, which improves the segmentation mask mostly towards the desired result.\n\nAll techniques proposed within this thesis have been evaluated by collaborating radiologists.\nWe assessed the usability, interaction aspects, the accuracy of the results and the expenditure of time of the entire correction process.\nThe outcome of the assessment showed that our guided volume editing not only leads to acceptable segmentation results with only a few interaction steps, but also is applicable to various application scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 925,
            "image_height": 342,
            "name": "karimov-2016-GIVE-Image.png",
            "type": "image/png",
            "size": 301144,
            "path": "Publication:karimov-2016-GIVE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            925
        ],
        "date_end": "2016-06",
        "date_start": "2012-03",
        "reviewer_1": [
            161
        ],
        "reviewer_2": [
            563
        ],
        "rigorosum": "2016-06-28",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Abstract",
                "filetitle": "Abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2016-GIVE-Abstract.pdf",
                "type": "application/csv",
                "size": 60623,
                "path": "Publication:karimov-2016-GIVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Abstract.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": "Image",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 925,
                "image_height": 342,
                "name": "karimov-2016-GIVE-Image.png",
                "type": "image/png",
                "size": 301144,
                "path": "Publication:karimov-2016-GIVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Image:thumb{{size}}.png"
            },
            {
                "description": "Slides",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2016-GIVE-Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 40948061,
                "path": "Publication:karimov-2016-GIVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "Thesis",
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2016-GIVE-Thesis.pdf",
                "type": "application/csv",
                "size": 80499879,
                "path": "Publication:karimov-2016-GIVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/karimov-2016-GIVE-Thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-GIVE/",
        "__class": "Publication"
    },
    {
        "id": "ortner-2016-tunnel",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual analytics and rendering for tunnel crack analysis",
        "date": "2016-05-11",
        "abstract": "The visual analysis of surface cracks plays an essential role in tunnel maintenance when assessing the condition of a tunnel. To identify patterns of cracks, which endanger the structural integrity of its concrete surface, analysts need an integrated solution for visual analysis of geometric and multivariate data to decide if issuing a repair project is necessary. The primary contribution of this work is a design study, supporting tunnel crack analysis by tightly integrating geometric and attribute views to allow users a holistic visual analysis of geometric representations and multivariate attributes. Our secondary contribution is Visual Analytics and Rendering, a methodological approach which addresses challenges and recurring design questions in integrated systems. We evaluated the tunnel crack analysis solution in informal feedback sessions with experts from tunnel maintenance and surveying. We substantiated the derived methodology by providing guidelines and linking it to examples from the literature.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 750,
            "image_height": 340,
            "name": "ortner-2016-tunnel-teaser.gif",
            "type": "image/gif",
            "size": 97212,
            "path": "Publication:ortner-2016-tunnel",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1277,
            1072,
            451,
            205,
            166
        ],
        "event": "Computer Graphics International (CGI)",
        "journal": "The Visual Computer",
        "number": "6",
        "pages_from": "859",
        "pages_to": "869",
        "volume": "32",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Integration of spatial and non-spatial data",
            "Methodology",
            "Visual analytics"
        ],
        "weblinks": [
            {
                "href": "http://link.springer.com/article/10.1007/s00371-016-1257-5",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 750,
                "image_height": 340,
                "name": "ortner-2016-tunnel-teaser.gif",
                "type": "image/gif",
                "size": 97212,
                "path": "Publication:ortner-2016-tunnel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/ortner-2016-tunnel-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-tunnel/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2016-utah-talk",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi-Scale Molecular Data Visualization",
        "date": "2016-05-03",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser 1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 859,
            "image_height": 382,
            "name": "mindek-2016-utah-talk-Teaser 1.png",
            "type": "image/png",
            "size": 109219,
            "path": "Publication:mindek-2016-utah-talk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2016-05-02",
        "date_to": "2016-05-03",
        "event": "QCB Workshop on Visualizing & Modeling Cell Biology",
        "lecturer": [
            935
        ],
        "location": "Salt Lake City, Utah, USA",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "molecular visualization",
            "multiscale"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2016-utah-talk-Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 538745965,
                "path": "Publication:mindek-2016-utah-talk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Teaser 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 859,
                "image_height": 382,
                "name": "mindek-2016-utah-talk-Teaser 1.png",
                "type": "image/png",
                "size": 109219,
                "path": "Publication:mindek-2016-utah-talk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 500,
                "image_height": 332,
                "name": "mindek-2016-utah-talk-Teaser 2.png",
                "type": "image/png",
                "size": 191960,
                "path": "Publication:mindek-2016-utah-talk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/mindek-2016-utah-talk-Teaser 2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/mindek-2016-utah-talk/",
        "__class": "Publication"
    },
    {
        "id": "TR1862162",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Volume Ensembles Based on Local Features",
        "date": "2016-05",
        "abstract": "Ensemble datasets describe a specific phenomenon (e.g., a simulation scenario or a measurements series) through a large set of individual ensemble members. These individual members typically do not differ too much from each other but rather feature slightly changing characteristics. In many cases, the ensemble members are defined in 3D space, which implies severe challenges when exploring the complete ensembles such as handling occlusions, focus and context or its sheer datasize. In this paper we address these challenges and put our focus on the exploration of local features in 3D volumetric ensemble datasets, not only by visualizing local characteristics, but also by identifying connections to other local features with similar characteristics in the data. We evaluate the variance in the dataset and use the the spatial median (medoid) of the ensemble to visualize the differences in the dataset. This medoid is subsequently used as a representative of the ensemble in 3D. The variance information is used to guide users during the exploration, as regions of high variance also indicate larger changes within the ensemble members. The local characteristics of the regions can be explored by using our proposed 3D probing widgets. These widgets consist of a 3D sphere, which can be positioned at any point in 3D space. While moving a widget, the local data characteristics at the corresponding position are shown in a separate detail view, which depicts the local outliers and their surfaces in comparison to the medoid surface. The 3D probing widgets can also be fixed at a user-defined position of interest. The fixed probing widgets are arranged in a similarity graph to indicate similar local data characteristics. The similarity graph thus allows to explore whether high variances in a certain region are caused by the same dataset members or not. Finally, it is also possible to compare a single member against the rest of the ensemble. We evaluate our technique through two demonstration cases using volumetric multi-label segmentation mask datasets, two from the\nindustrial domain and two from the medical domain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 599,
            "image_height": 277,
            "name": "TR1862162-teaser.png",
            "type": "image/png",
            "size": 498904,
            "path": "Publication:TR1862162",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            950,
            1191,
            799,
            983,
            166,
            161,
            611
        ],
        "number": "TR-186-2-16-2",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "ensemble visualization",
            "guided local exploration",
            "variance analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 599,
                "image_height": 277,
                "name": "TR1862162-teaser.png",
                "type": "image/png",
                "size": 498904,
                "path": "Publication:TR1862162",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "tech-report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR1862162-tech-report.pdf",
                "type": "application/pdf",
                "size": 5108648,
                "path": "Publication:TR1862162",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/TR1862162-tech-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/TR1862162/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2016-cescg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "20 Years of the Central European Seminar on Computer Graphics",
        "date": "2016-05",
        "abstract": "The Central European Seminar on Computer Graphics is an annual scientific seminar for undergraduate students of computer graphics, vision and visual computing. Its main mission is to promote graphics research and to motivate students to pursue academic careers. An international committee of experts guides their research work for several months. At the end, students present their results at a three days seminar to an audience of approx. 100 students and professors. All attendants actively participate in discussions and workshops focused on academic skills and career planing for young researchers. Interactive sessions on innovation help them to identify the value of their ideas and motivate them to continue in their work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "CESCG",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3935,
            "image_height": 3090,
            "name": "ilcik-2016-cescg-CESCG.jpg",
            "type": "image/jpeg",
            "size": 2192956,
            "path": "Publication:ilcik-2016-cescg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            1256,
            583,
            193
        ],
        "booktitle": "Eurographics 2016 Education Papers",
        "date_from": "2016-05-09",
        "date_to": "2016-05-13",
        "editor": "Beatriz Sousa Santos and Jean-Michel Dischler",
        "issn": "1017-4656",
        "lecturer": [
            1303
        ],
        "location": "Lisbon",
        "pages_from": "25",
        "pages_to": "30",
        "publisher": "The Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Promotion of undergraduate research",
            "Student seminar"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "CESCG",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3935,
                "image_height": 3090,
                "name": "ilcik-2016-cescg-CESCG.jpg",
                "type": "image/jpeg",
                "size": 2192956,
                "path": "Publication:ilcik-2016-cescg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-CESCG:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2016-cescg-preprint.pdf",
                "type": "application/pdf",
                "size": 7529226,
                "path": "Publication:ilcik-2016-cescg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/ilcik-2016-cescg-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "abteilung"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cescg/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I3",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Understanding Data through Visual Exploration",
        "date": "2016-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)",
        "location": "Keynote talk at Visionday 2016, Danmarks Tekniske Universitet (DTU Compute)",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I3/",
        "__class": "Publication"
    },
    {
        "id": "schoerkhuber_dominik-2016-baa",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast KNN in Screenspace on GPGPU",
        "date": "2016-04-18",
        "abstract": "Virtualization of realworld objects and scenes became very popular in recent years due to af-\nfordable laser-scanning technology. Nowadays it’s not only possible to capture static frames\nbut also realtime frame sequences. Rendering of those captures is difficult because visually ap-\npealing renderings involve the computation of local surface reconstruction from pointclouds and\ntherefore a lot of preprocessing. This is usually not possible in realtime.\nOne important processing step is the computation of nearest neighbours for each 3d-point.\nThe neighbourhood information is not only used for normal reconstruction and local surface\nestimation, but can also be utilized for collision detection.\nIn this paper we present a method for computing the k-nearest-neighbor sets for pointclouds\nin realtime. To achieve high frame rates we parallelize the algorithm on the GPU, using the\nNvidia CUDA parallel computation framework. Furthermore computations are limited to op-\nerate in screen-space, to reduce computational complexity even further, and effectively prevent\nrendering invisible geometry. We also utilize the invented FastKnn algorithm to estimate local\nsurface reconstruction for splat rendering of pointclouds in realtime and show how it compares\nto a state of the art algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Representative image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 759,
            "image_height": 784,
            "name": "schoerkhuber_dominik-2016-baa-image.jpg",
            "type": "image/jpeg",
            "size": 48267,
            "path": "Publication:schoerkhuber_dominik-2016-baa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1180
        ],
        "co_supervisor": [
            948
        ],
        "date_end": "2014-06-30",
        "date_start": "2014-03-05",
        "duration": "6 months",
        "matrikelnr": "e1027470",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "cuda",
            "gpu",
            "nearest neighbor search",
            "knn",
            "screen space"
        ],
        "weblinks": [
            {
                "href": "https://svn.cg.tuwien.ac.at/data/svn/fastknn/",
                "caption": "SVN repository",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Representative image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 759,
                "image_height": 784,
                "name": "schoerkhuber_dominik-2016-baa-image.jpg",
                "type": "image/jpeg",
                "size": 48267,
                "path": "Publication:schoerkhuber_dominik-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schoerkhuber_dominik-2016-baa-thesis.pdf",
                "type": "application/pdf",
                "size": 9690734,
                "path": "Publication:schoerkhuber_dominik-2016-baa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/schoerkhuber_dominik-2016-baa-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/schoerkhuber_dominik-2016-baa/",
        "__class": "Publication"
    },
    {
        "id": "Langer_Maximillian_DMV",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Multiscale Vector Volumes",
        "date": "2016-04-18",
        "abstract": "Dynamic multiscale vector volumes is a solid representation based on signed distance functions to represent object boundaries. Multiscale vector volumes utilize a binary tree and an embedding mechanism to represent structures on different scales in a compact and efficient way. By extending the representation with an analytical formulation to partly replace signed distance functions, an efficient local animation of boundaries can be achieved. The representation uses a markup language for object definition that allows\nthe user to create their own objects. The concept of dynamic multiscale vector volumes is implemented and tested in the Unity3D editor. The complete rendering is done on the graphics card.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1268
        ],
        "matrikelnr": "1226991",
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Langer_Maximillian_DMV-Thesis.pdf",
                "type": "application/pdf",
                "size": 1815008,
                "path": "Publication:Langer_Maximillian_DMV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/Langer_Maximillian_DMV-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Langer_Maximillian_DMV/",
        "__class": "Publication"
    },
    {
        "id": "karimov-2016-SD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Statistics-Driven Localization of Dissimilarities in Data",
        "date": "2016-04",
        "abstract": "The identification of dissimilar regions in spatial and temporal data is a fundamental part of data exploration.\nThis process takes place in applications, such as biomedical image processing as well as climatic data analysis.\nWe propose a general solution for this task by employing well-founded statistical tools.\nFrom a large set of candidate regions, we derive an empirical distribution of the data and perform statistical hypothesis testing to obtain p-values as measures of dissimilarity.\nHaving p-values, we quantify differences and rank regions on a global scale according to their dissimilarity to user-specified exemplar regions.\nWe demonstrate our approach and its generality with two application scenarios, namely interactive exploration of climatic data and segmentation editing in the medical domain.\nIn both cases our data exploration protocol unifies the interactive data analysis, guiding the user towards regions with the most relevant dissimilarity characteristics.\nThe dissimilarity analysis results are conveyed with a radial tree, which prevents the user from searching exhaustively through all the data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 700,
            "image_height": 700,
            "name": "karimov-2016-SD-image.png",
            "type": "image/png",
            "size": 173482,
            "path": "Publication:karimov-2016-SD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            925,
            869,
            808,
            166
        ],
        "number": "TR-186-2-16-1",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 700,
                "image_height": 700,
                "name": "karimov-2016-SD-image.png",
                "type": "image/png",
                "size": 173482,
                "path": "Publication:karimov-2016-SD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-image:thumb{{size}}.png"
            },
            {
                "description": "Technical report",
                "filetitle": "technical report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2016-SD-technical report.pdf",
                "type": "application/csv",
                "size": 13697916,
                "path": "Publication:karimov-2016-SD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/karimov-2016-SD-technical report.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/karimov-2016-SD/",
        "__class": "Publication"
    },
    {
        "id": "klein-2016-WCL",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-Specific Language",
        "date": "2016-04",
        "abstract": "The use of GPUs and the massively parallel computing paradigm have become wide-spread. We describe a framework for the interactive visualization and visual analysis of the run-time behavior of massively parallel programs, especially OpenCL kernels. This facilitates understanding a program's function and structure, finding the causes of possible slowdowns, locating program bugs, and interactively exploring and visually comparing different code variants in order to improve performance and correctness. Our approach enables very specific, user-centered analysis, both in terms of the recording of the run-time behavior and the visualization itself. Instead of having to manually write instrumented code to record data, simple code annotations tell the source-to-source compiler which code instrumentation to generate automatically. The visualization part of our framework then enables the interactive analysis of kernel run-time behavior in a way that can be very specific to a particular problem or optimization goal, such as analyzing the causes of memory bank conflicts or understanding an entire parallel algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1285,
            "image_height": 369,
            "name": "klein-2016-WCL-image.png",
            "type": "image/png",
            "size": 297574,
            "path": "Publication:klein-2016-WCL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285,
            161,
            166,
            226,
            488
        ],
        "event": "4th International Workshop on OpenCL (IWOCL '16)",
        "location": "Vienna, Austria",
        "publisher": "ACM",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "extended_abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein-2016-WCL-extended_abstract.pdf",
                "type": "application/pdf",
                "size": 866287,
                "path": "Publication:klein-2016-WCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-extended_abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1285,
                "image_height": 369,
                "name": "klein-2016-WCL-image.png",
                "type": "image/png",
                "size": 297574,
                "path": "Publication:klein-2016-WCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "klein-2016-WCL-poster.pdf",
                "type": "application/pdf",
                "size": 3606134,
                "path": "Publication:klein-2016-WCL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/klein-2016-WCL-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/klein-2016-WCL/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I1",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Certainly Uncertain Uncertainty Talk",
        "date": "2016-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)",
        "location": "Second Workshop on Uncertainty, Technische Universität München, Informatik 15 (Computer Graphik 6 Visualisierung)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I1/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing and Comparative Visualization",
        "date": "2016-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "event": "Invited Talk",
        "location": " Czech Technical University, Faculty of Electrical Engineering, Department of Computer Graphics and Interaction",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_I2/",
        "__class": "Publication"
    },
    {
        "id": "Oancea_Stefan_2016_VOT",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Variance Orientation Transform Detection of Early Osteoarthritis in Knee Trabecular Bone",
        "date": "2016-03-17",
        "abstract": "Since the fractal properties of the knee trabecular bone were discovered, fractal methods for analyzing bone surface radiographic projections have gained more attention. This is partly due to the fact that radiography is the cheapest imaging technique in routine clinical screening and partly due to the fact that it was shown that the trabecular bones of osteoarthritic patients indicate early deformations, even long before the  characteristic join loss occurs. The ultimate goal of such an algorithm would be to differentiate healthy from unhealthy trabecular bone.\n\nThis paper presents a report of our implementation of the Variance Orientation\nTransform (VOT) algorithm, a fractal method, which unlike other similar methods, is able to quantify bone texture in different directions and over different scales of measurement.\n\nIt is based on the idea that a single fractal dimension value is not enough to describe such a complex structure as the trabecular bone and thus, VOT calculates more descriptive fractal dimensions called fractal signatures (FSs).\n\nIn Chapters 1 and 2 we introduce the notion of fractals and the theoretical background behind them and the VOT algorithm. In Chapter 3 similar techniques for analyzing trabecular bone are presented and in Chapter 4 our particular attempt at implementing VOT is described in detail; moreover, in the same Chapter VOT is validated using some artificially generated fractal surfaces and the ability of differentiating healthy and affected bone is also investigated. The last Chapter, Chapter 5, covers further\npossible ideas of improving and testing of the algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1361
        ],
        "matrikelnr": "1227706",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Oancea_Stefan_2016_VOT-Thesis.pdf",
                "type": "application/pdf",
                "size": 5265238,
                "path": "Publication:Oancea_Stefan_2016_VOT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/Oancea_Stefan_2016_VOT-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Oancea_Stefan_2016_VOT/",
        "__class": "Publication"
    },
    {
        "id": "Kroesl_Katharina_2016_PPT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive, Progressive Photon Tracing using a Multi-Resolution Image-Filtering Approach",
        "date": "2016-03",
        "abstract": "Modern workflows in architectural planning and lighting design require physically reliable lighting simulations for detailed and complex 3D models. Current workflows for luminaire design and lighting design are not tailored to each other. During luminaire design, CAD programs are used to create 3D models of luminaires, and offline rendering tools are used to visualize the light distribution. In lighting design, light concepts are explored by placing light sources - previously created during luminaire design - in a 3D scene using an interactive light-planning software, but it is not possible to modify the light sources themselves. This thesis presents an interactive global-illumination algorithm to simulate the light distribution of a luminaire. The algorithm produces visually pleasing intermediate results at interactive frame rates, before converging to a physically plausible solution that can be imported as a representation of a light source into a light-planning software. We combine an interactive, progressive photon-tracing algorithm with a multi-resolution image-filtering approach. Our algorithm iteratively emits photons into a 3D scene containing the model of a luminaire and progressively refines results. We use mipmaps to create a multi-resolution approach and incorporate image-filtering techniques to obtain visually pleasing intermediate results. Evaluations based on objective quality metrics show that the presented image-filtering approach increases image quality when compared to non-filtered results. The proposed algorithm provides fast previews and allows interactive modifications of the geometry and material properties of the luminaire in real time. This reduces time between modification iterations and therefore turns luminaire design into an interactive process that reduces overall production time.Furthermore, the presented approach integrates luminaire design into lighting design and therefore provides a new way to combine two former decoupled workflows.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1283,
            "image_height": 1107,
            "name": "Kroesl_Katharina_2016_PPT-image.png",
            "type": "image/png",
            "size": 585959,
            "path": "Publication:Kroesl_Katharina_2016_PPT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1030
        ],
        "supervisor": [
            193,
            659
        ],
        "research_areas": [],
        "keywords": [
            "photon tracing",
            "luminaire design",
            "lighting design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1283,
                "image_height": 1107,
                "name": "Kroesl_Katharina_2016_PPT-image.png",
                "type": "image/png",
                "size": 585959,
                "path": "Publication:Kroesl_Katharina_2016_PPT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kroesl_Katharina_2016_PPT-poster.pdf",
                "type": "application/force-download",
                "size": 2975771,
                "path": "Publication:Kroesl_Katharina_2016_PPT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-poster.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kroesl_Katharina_2016_PPT-thesis.pdf",
                "type": "application/force-download",
                "size": 20637346,
                "path": "Publication:Kroesl_Katharina_2016_PPT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/Kroesl_Katharina_2016_PPT-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Kroesl_Katharina_2016_PPT/",
        "__class": "Publication"
    },
    {
        "id": "prieler_daniel-2013-da",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Meshing for Noisy Points",
        "date": "2016-02-29",
        "abstract": "The increasing availability of 3D scanning devices in both industrial and entertainment\nenvironments (e.g., Microsoft Kinect) creates a demand for fast and reliable resampling\nand reconstruction techniques. Point clouds, especially raw range images, are often\nnon-uniformly sampled and subject to non-uniform noise levels. Current state-of-the-art\ntechniques often require user-provided parameters that estimate the noise level of the\npoint cloud. This produces sub-optimal results for point sets with varying noise extent.\nWe propose an isotropically fair neighborhood definition which is specifically designed\nto address non-uniformly sampled point clouds. Our iterative point cloud resampling\nmethod estimates and adapts to the local noise level at each sample. This increases\nthe reconstruction quality for point clouds with high noise levels while being completely\nparameter free. The data structures built during the resampling process are reused to\nspeed up the process of creating a consistent normal orientation. Evaluation of the re-\nsampling quality shows that our technique outperforms current state-of-the-art methods\nfor varying noise levels and non-uniform sampling. Both the resampling algorithm and\nthe subsequent consistent normal orientation operate locally and can be implemented\nefficiently in parallel. Our GPU sphere regression implementation outperforms the stan-\ndard sequential procedure by a factor of 20.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Local orienting of normals",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1781,
            "image_height": 989,
            "name": "prieler_daniel-2013-da-image.jpg",
            "type": "image/jpeg",
            "size": 91841,
            "path": "Publication:prieler_daniel-2013-da",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            944
        ],
        "date_end": "2014-08-12",
        "date_start": "2013-08-13",
        "matrikelnr": "0726319",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "surface fitting",
            "surface reconstruction",
            "noise",
            "meshing",
            "real-time",
            "CUDA"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Local orienting of normals",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1781,
                "image_height": 989,
                "name": "prieler_daniel-2013-da-image.jpg",
                "type": "image/jpeg",
                "size": 91841,
                "path": "Publication:prieler_daniel-2013-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "prieler_daniel-2013-da-poster.pdf",
                "type": "binary/octet-stream",
                "size": 4917960,
                "path": "Publication:prieler_daniel-2013-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-poster.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "prieler_daniel-2013-da-thesis.pdf",
                "type": "binary/octet-stream",
                "size": 14706877,
                "path": "Publication:prieler_daniel-2013-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/prieler_daniel-2013-da-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/prieler_daniel-2013-da/",
        "__class": "Publication"
    },
    {
        "id": "arikan-2015-dmrt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi-Depth-Map Raytracing for Efficient Large-Scene Reconstruction",
        "date": "2016-02",
        "abstract": "With the enormous advances of the acquisition technology over the last years, fast processing and high-quality\nvisualization of large point clouds have gained increasing attention. Commonly, a mesh surface is reconstructed from the point\ncloud and a high-resolution texture is generated over the mesh from the images taken at the site to represent surface materials. However, this global reconstruction and texturing approach becomes impractical with increasing data sizes. Recently, due to its\npotential for scalability and extensibility, a method for texturing a set of depth maps in a preprocessing and stitching them at runtime has been proposed to represent large scenes. However, the rendering performance of this method is strongly dependent on the number of depth maps and their resolution. Moreover, for the proposed scene representation, every single depth map has to be textured by the images, which in practice heavily increases processing costs. In this paper, we present a novel method\nto break these dependencies by introducing an efficient raytracing of multiple depth maps. In a preprocessing phase, we first generate high-resolution textured depth maps by rendering the input points from image cameras and then perform a graph-cut\nbased optimization to assign a small subset of these points to the images. At runtime, we use the resulting point-to-image assignments (1) to identify for each view ray which depth map contains the closest ray-surface intersection and (2) to efficiently\ncompute this intersection point. The resulting algorithm accelerates both the texturing and the rendering of the depth maps by an order of magnitude.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser image",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2855,
            "image_height": 1392,
            "name": "arikan-2015-dmrt-image.jpg",
            "type": "image/jpeg",
            "size": 2864240,
            "path": "Publication:arikan-2015-dmrt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            865,
            799,
            193
        ],
        "doi": "10.1109/TVCG.2015.2430333",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization & Computer Graphics",
        "number": "2",
        "pages_from": "1127",
        "pages_to": "1137",
        "volume": "22",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://http://dx.doi.org/10.1109/TVCG.2015.2430333",
                "caption": "doi",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "arikan-2015-dmrt-draft.pdf",
                "type": "application/pdf",
                "size": 1697346,
                "path": "Publication:arikan-2015-dmrt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-draft:thumb{{size}}.png"
            },
            {
                "description": "teaser image",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2855,
                "image_height": 1392,
                "name": "arikan-2015-dmrt-image.jpg",
                "type": "image/jpeg",
                "size": 2864240,
                "path": "Publication:arikan-2015-dmrt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-image:thumb{{size}}.png"
            },
            {
                "description": "[45MB]",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "arikan-2015-dmrt-video.mp4",
                "type": "video/mp4",
                "size": 47571465,
                "path": "Publication:arikan-2015-dmrt",
                "preview_name": "arikan-2015-dmrt-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 91344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/arikan-2015-dmrt-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/arikan-2015-dmrt/",
        "__class": "Publication"
    },
    {
        "id": "Doerflinger-2016-CDV",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Convex Decomposition for Virtual Reality Environment Exploration",
        "date": "2016-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "hidden",
            "image_width": 1284,
            "image_height": 793,
            "name": "Doerflinger-2016-CDV-image.png",
            "type": "image/png",
            "size": 356186,
            "path": "Publication:Doerflinger-2016-CDV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Doerflinger-2016-CDV/Doerflinger-2016-CDV-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Doerflinger-2016-CDV/Doerflinger-2016-CDV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1566
        ],
        "date_start": "2016-02",
        "matrikelnr": "0230635",
        "supervisor": [
            923
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": null,
                "filetitle": "proposal",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Doerflinger-2016-CDV-proposal.pdf",
                "type": "application/pdf",
                "size": 523620,
                "path": "Publication:Doerflinger-2016-CDV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Doerflinger-2016-CDV/Doerflinger-2016-CDV-proposal.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Doerflinger-2016-CDV/Doerflinger-2016-CDV-proposal:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Doerflinger-2016-CDV/",
        "__class": "Publication"
    },
    {
        "id": "ortner-2016-visaware",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vis-a-ware: Integrating spatial and non-spatial visualization for visibility-aware urban planning",
        "date": "2016-01-22",
        "abstract": "3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1552,
            "image_height": 900,
            "name": "ortner-2016-visaware-teaser.png",
            "type": "image/png",
            "size": 348718,
            "path": "Publication:ortner-2016-visaware",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1277,
            1072,
            1387,
            205,
            451,
            166
        ],
        "issn": "1077-2626 ",
        "journal": "Visualization and Computer Graphics, IEEE Transactions on",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/document/7390069/?arnumber=7390069",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1552,
                "image_height": 900,
                "name": "ortner-2016-visaware-teaser.png",
                "type": "image/png",
                "size": 348718,
                "path": "Publication:ortner-2016-visaware",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/ortner-2016-visaware-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ortner-2016-visaware/",
        "__class": "Publication"
    },
    {
        "id": "Labschuetz_Matthias_2016_AHD",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Adaptive, Hybrid Data Structure for Sparse Volume Data on the GPU",
        "date": "2016-01",
        "abstract": "Dealing with large, sparse, volume data on the GPU is a necessity in many applications such as volume rendering, processing or simulation. The limited memory budget of modern GPUs restricts users from uploading large volume data-sets entirely. Fortunately, sparse data, i.e., data containing large empty regions, can be represented more efficiently compared to a common dense array. Our approach makes it possible to upload a full data set even if the original volume does not fit on the GPU.\r\n\r\nIn previous work, a variety of sparse data structures have been utilized on the GPU, each with different properties. Tree representations, such as the octree, kd tree or N3 tree, provide a hierarchical solution for data sets of relatively low sparsity. For data sets of medium sparsity,\r\nspatial hashing makes more efficient access and storage possible. Extremely sparse data can be efficiently represented and accessed via binary search in sorted voxel lists.\r\n\r\nOur observation is, that data sets often contain regions of different sparsity. Depending on the sparsity of a region, a specific data structure (e.g., an octree, a voxel list) requires the least memory to store the data. We formulate an algorithm that is able to automatically find this\r\nmemory-optimal representation. By using such a combination of different data structures, we achieve an even better representation than any single data structure for real world data sets. We\r\ncall such a data structure a hybrid data structure.\r\n\r\nAny sparse data structure introduces an access overhead. For example, the access to an octree requires one additional indirection per height level of the tree. A voxel list has to be\r\nsearched to retrieve a specific element. By using a hybrid data structure, we also introduce an\r\naccess overhead on top of the overhead that comes from using a sparse data structure. In our work we introduce JiTTree, which utilizes a data aware just-in-time compilation step to improve\r\nthe access performance of our hybrid data structure.\r\n\r\nWe show that the implementation of our hybrid data structure effectively reduces the memory\r\nrequirement of sparse data sets. JiTTree can improve the performance of hybrid bricking for\r\ncertain access patterns such as stencil accesses.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1027,
            "image_height": 853,
            "name": "Labschuetz_Matthias_2016_AHD-Image.png",
            "type": "image/png",
            "size": 418864,
            "path": "Publication:Labschuetz_Matthias_2016_AHD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840
        ],
        "supervisor": [
            166,
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1027,
                "image_height": 853,
                "name": "Labschuetz_Matthias_2016_AHD-Image.png",
                "type": "image/png",
                "size": 418864,
                "path": "Publication:Labschuetz_Matthias_2016_AHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Labschuetz_Matthias_2016_AHD-Poster.pdf",
                "type": "application/pdf",
                "size": 1521142,
                "path": "Publication:Labschuetz_Matthias_2016_AHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Labschuetz_Matthias_2016_AHD-Thesis.pdf",
                "type": "application/pdf",
                "size": 15886933,
                "path": "Publication:Labschuetz_Matthias_2016_AHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/Labschuetz_Matthias_2016_AHD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_AHD/",
        "__class": "Publication"
    },
    {
        "id": "Labschuetz_Matthias_2016_JITT",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure",
        "date": "2016-01",
        "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840,
            161,
            166,
            226,
            488
        ],
        "date_from": "2015-10-25",
        "date_to": "2015-10-30",
        "event": "IEEE SciVis 2015",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            840
        ],
        "location": "Chicago, IL, USA",
        "note": "Published in January 2016",
        "number": "1",
        "pages_from": "1025",
        "pages_to": "1034",
        "volume": "22",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Labschuetz_Matthias_2016_JITT/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2015-litevis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiteVis: Integrated Visualization for Simulation-Based Decision Support in Lighting Design",
        "date": "2016-01",
        "abstract": "State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumb",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1860,
            "image_height": 1516,
            "name": "sorger-2015-litevis-thumb.png",
            "type": "image/png",
            "size": 253297,
            "path": "Publication:sorger-2015-litevis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            1277,
            659,
            678,
            166,
            451
        ],
        "event": "IEEE Vis",
        "issn": "1077-2626 ",
        "journal": "Visualization and Computer Graphics, IEEE Transactions on",
        "lecturer": [
            1072
        ],
        "location": "Chicago",
        "number": "1",
        "pages_from": "290",
        "pages_to": "299",
        "volume": "22",
        "research_areas": [
            "InfoVis",
            "Rendering"
        ],
        "keywords": [
            "Integrating Spatial and Non-Spatial Data"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7192703&amp;tag=1",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "30sec preview",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "sorger-2015-litevis-30sec preview.mp4",
                "type": "video/mp4",
                "size": 20482898,
                "path": "Publication:sorger-2015-litevis",
                "preview_name": "sorger-2015-litevis-30sec preview:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 77105,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-30sec preview:video.mp4"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2015-litevis-paper.pdf",
                "type": "application/pdf",
                "size": 14633562,
                "path": "Publication:sorger-2015-litevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-paper:thumb{{size}}.png"
            },
            {
                "description": "two components of the LiteVis interface, left: the Simulation View, right: ranking of lighting solutions in the Analysis View",
                "filetitle": "teaser",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2934,
                "image_height": 1048,
                "name": "sorger-2015-litevis-teaser.png",
                "type": "image/png",
                "size": 367321,
                "path": "Publication:sorger-2015-litevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumb",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1860,
                "image_height": 1516,
                "name": "sorger-2015-litevis-thumb.png",
                "type": "image/png",
                "size": 253297,
                "path": "Publication:sorger-2015-litevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-thumb:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video demonstration",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1120,
                "preview_image_height": 630,
                "name": "sorger-2015-litevis-video demonstration.mp4",
                "type": "video/mp4",
                "size": 58980955,
                "path": "Publication:sorger-2015-litevis",
                "preview_name": "sorger-2015-litevis-video demonstration:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 52277,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/sorger-2015-litevis-video demonstration:video.mp4"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/sorger-2015-litevis/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2015_AAM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "AnimoAminoMiner: Exploration of Protein Tunnels and their Properties in Molecular Dynamics",
        "date": "2016-01",
        "abstract": "In this paper we propose a novel method for the interactive exploration of protein tunnels. The basic principle of our approach is that we entirely abstract from the 3D/4D space the simulated phenomenon is embedded in. A complex 3D structure and its curvature information is represented only by a straightened tunnel centerline and its width profile. This representation focuses on a key aspect of the studied geometry and frees up graphical estate to key chemical and physical properties represented by surrounding amino acids. The method shows the detailed tunnel profile and its temporal aggregation. The profile is interactively linked with a visual overview of all amino acids which are lining the tunnel over time. In this overview, each amino acid is represented by a set of colored lines depicting the spatial and temporal impact of the amino acid on the corresponding tunnel. This representation clearly shows the importance of amino acids with respect to selected criteria. It helps the biochemists to select the candidate amino acids for mutation which changes the protein function in a desired way. The AnimoAminoMiner was designed in close cooperation with domain experts. Its usefulness is documented by their feedback and a case study, which are included.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1576,
            "image_height": 609,
            "name": "Viola_Ivan_2015_AAM-Image.jpg",
            "type": "image/jpeg",
            "size": 111989,
            "path": "Publication:Viola_Ivan_2015_AAM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1254,
            1189,
            166,
            171,
            1248
        ],
        "date_from": "2015-10-25",
        "date_to": "2015-10-30",
        "event": "IEEE Vis 2015",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1254
        ],
        "location": "Illinois, Chicago, USA",
        "number": "1",
        "pages_from": "747",
        "pages_to": "756",
        "volume": "22",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [
            "aggregation",
            "molecular dynamics",
            "Protein",
            "interaction",
            "tunnel"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2015.2467434",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1576,
                "image_height": 609,
                "name": "Viola_Ivan_2015_AAM-Image.jpg",
                "type": "image/jpeg",
                "size": 111989,
                "path": "Publication:Viola_Ivan_2015_AAM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2015_AAM-Paper.pdf",
                "type": "application/pdf",
                "size": 1114453,
                "path": "Publication:Viola_Ivan_2015_AAM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/Viola_Ivan_2015_AAM-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Viola_Ivan_2015_AAM/",
        "__class": "Publication"
    },
    {
        "id": "vad-2016-bre",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generalized box-plot for root growth ensembles",
        "date": "2016",
        "abstract": "Background In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to efficiently explore, exchange and present the massive amount of acquired, and often time dependent root phenotypes. \nResults In this work, we present visual summaries of root ensembles by aggregating root images with identical genetic characteristics. We use the generalized box plot concept with a new formulation of data depth. In addition to spatial distributions, we created a visual representation to encode temporal distributions associated with the development of root individuals.\nConclusions The new formulation of data depth allows for much faster implementation close to interactive frame rates. This allows us to present the statistics from bootstrapping that characterize the root sample set quality. As a positive side effect of the new data-depth formulation we are able to define the geometric median for the curve ensemble, which was well received by the domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1195,
            1408,
            1409,
            962,
            171
        ],
        "journal": "BMC Bioinformatics",
        "lecturer": [
            1195
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333180/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1200,
                "preview_image_height": 900,
                "name": "vad-2016-bre-paper.pdf",
                "type": "application/pdf",
                "size": 2416818,
                "path": "Publication:vad-2016-bre",
                "preview_name": "vad-2016-bre-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 174658,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vad-2016-bre-Video.mp4",
                "type": "video/mp4",
                "size": 7077690,
                "path": "Publication:vad-2016-bre",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/vad-2016-bre-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/vad-2016-bre/",
        "__class": "Publication"
    },
    {
        "id": "viola-evr",
        "type_id": "habilthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Effective Visual Representations",
        "date": "2016",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 728,
            "image_height": 612,
            "name": "viola-evr-image.jpg",
            "type": "image/jpeg",
            "size": 43401,
            "path": "Publication:viola-evr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "research_areas": [
            "IllVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 728,
                "image_height": 612,
                "name": "viola-evr-image.jpg",
                "type": "image/jpeg",
                "size": 43401,
                "path": "Publication:viola-evr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-evr-thesis.pdf",
                "type": "application/pdf",
                "size": 35963729,
                "path": "Publication:viola-evr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/viola-evr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/viola-evr/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2016_Chameleon",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Chameleon Dynamic Color Mapping for Multi-Scale Structural Biology Models",
        "date": "2016",
        "abstract": "Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In\nmultiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures,\nmacromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However,\ncurrently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel\ntechnology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently\nbest visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The\nchanges of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one.\nWith such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown\non any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well\nreceived.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Overview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 378,
            "image_height": 472,
            "name": "Waldin_Nicholas_2016_Chameleon-Overview.png",
            "type": "image/png",
            "size": 488060,
            "path": "Publication:Waldin_Nicholas_2016_Chameleon",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            1189,
            1110,
            166,
            1365,
            1260,
            171
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "event": "VCBM",
        "lecturer": [
            1339
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/vcbm20161266",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Overview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 378,
                "image_height": 472,
                "name": "Waldin_Nicholas_2016_Chameleon-Overview.png",
                "type": "image/png",
                "size": 488060,
                "path": "Publication:Waldin_Nicholas_2016_Chameleon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-Overview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Waldin_Nicholas_2016_Chameleon-paper.pdf",
                "type": "application/pdf",
                "size": 25172411,
                "path": "Publication:Waldin_Nicholas_2016_Chameleon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "zoomed A",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 378,
                "image_height": 472,
                "name": "Waldin_Nicholas_2016_Chameleon-zoomed A.png",
                "type": "image/png",
                "size": 462676,
                "path": "Publication:Waldin_Nicholas_2016_Chameleon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed A:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "zoomed B",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 380,
                "image_height": 474,
                "name": "Waldin_Nicholas_2016_Chameleon-zoomed B.png",
                "type": "image/png",
                "size": 360850,
                "path": "Publication:Waldin_Nicholas_2016_Chameleon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/Waldin_Nicholas_2016_Chameleon-zoomed B:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis",
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Chameleon/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2016_Colormaps",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Personalized 2D color maps",
        "date": "2016",
        "abstract": "2D color maps are often used to visually encode complex data characteristics such as heat or height. The comprehension of color maps in visualization is affected by the display (e.g., a monitor) and the perceptual abilities of the viewer. In this paper we present a novel method to measure a user׳s ability to distinguish colors of a two-dimensional color map on a given monitor. We show how to adapt the color map to the user and display to optimally compensate for the measured deficiencies. Furthermore, we improve user acceptance of the calibration procedure by transforming the calibration into a game. The user has to sort colors along a line in a 3D color space in a competitive fashion. The errors the user makes in sorting these lines are used to adapt the color map to his perceptual capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            660,
            171
        ],
        "date_from": "2016-10",
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "pages_from": "143",
        "pages_to": "150",
        "volume": "59",
        "research_areas": [
            "IllVis",
            "Perception"
        ],
        "keywords": [
            "Color; Perception",
            "Perception",
            "Color vision deficiency"
        ],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0097849316300772",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Colormaps/",
        "__class": "Publication"
    },
    {
        "id": "Waldin_Nicholas_2016_Individualization",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Individualization of 2D Color Maps for People with Color Vision Deficiencies",
        "date": "2016",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Waldin_Nicholas_2016_Individualization-.pdf",
            "type": "application/pdf",
            "size": 3812707,
            "path": "Publication:Waldin_Nicholas_2016_Individualization",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1461,
            660,
            488,
            171
        ],
        "booktitle": "Proceedings of the 32Nd Spring Conference on Computer Graphics",
        "date_from": "2016",
        "date_to": "2016",
        "lecturer": [
            1339
        ],
        "location": "Slomenice, Slovakia",
        "research_areas": [
            "Perception"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2948643",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Waldin_Nicholas_2016_Individualization-.pdf",
                "type": "application/pdf",
                "size": 3812707,
                "path": "Publication:Waldin_Nicholas_2016_Individualization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/Waldin_Nicholas_2016_Individualization-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Waldin_Nicholas_2016_Individualization/",
        "__class": "Publication"
    },
    {
        "id": "MAYRHAUSER-2016-SCA",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Huge Point Clouds on an 8K projection Wall in the Ars Electronica Center Linz - cancelled",
        "date": "2016",
        "abstract": "The Ars Electronica Center in Linz is upgrading their \"Deep Space Live\" installation to 4K projectors, resulating in a total of 8K projection (one front, one floor). This allows for exremely high-quality, interactive applications.\n\nThe goal of this Praktikum is to develop/adapt a point-rendering software to be able to display huge point clouds on this installation. For this, algorithms have to be adapted to work with this high resolution. Furthermore, the projection to two different surfaces needs to be integrated in the viewer.\n\nThis project offers the opportunity to work with an exciting interactive installation. In case of success, the results will be shown to many visitors. Furthermore, we work with very interesting huge archaeological datasets, which are fascinating to explore.\n\n0664 4414348\ne0926916@student.tuwien.ac.at",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1348
        ],
        "duration": "6",
        "matrikelnr": "0926916",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/MAYRHAUSER-2016-SCA/",
        "__class": "Publication"
    },
    {
        "id": "miao_2016_cgf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Quantification of the Circle of Willis: An Automated Identification and Standardized Representation",
        "date": "2016",
        "abstract": "This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW). It is an arterial structure with the responsibility of supplying the brain with blood, however, dysfunctions can lead to strokes. The diagnosis of such a time-critical/urgent event depends on the expertise of radiologists and the applied software tools. They use basic display methods of the volumetric data without any support of advanced image processing and visualization techniques. The goal of this paper is to present an automated method for the standardized description of cerebral arteries in stroke patients in order to provide an overview of the CoW's configuration. This novel representation provides visual indications of problematic areas as well as straightforward comparisons between multiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) data sets together with an enumeration technique for labelling the arterial segments by detecting the main supplying arteries of the CoW. We evaluated the feasibility of our visual quantification approach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries and visually capturing the overall configuration of the CoW.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1900,
            "image_height": 1842,
            "name": "miao_2016_cgf-image.png",
            "type": "image/png",
            "size": 271848,
            "path": "Publication:miao_2016_cgf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            869,
            1264,
            166
        ],
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [
            "Circle of Willis",
            "medical visualization",
            "information visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1900,
                "image_height": 1842,
                "name": "miao_2016_cgf-image.png",
                "type": "image/png",
                "size": 271848,
                "path": "Publication:miao_2016_cgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "miao_2016_cgf-paper.pdf",
                "type": "application/pdf",
                "size": 5537482,
                "path": "Publication:miao_2016_cgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/miao_2016_cgf-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/miao_2016_cgf/",
        "__class": "Publication"
    },
    {
        "id": "moerth_eric-2016-3DF",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D-Printing of Fetal Ultrasound",
        "date": "2016",
        "abstract": "The 3D ultrasound in prenatal diagnostics is nowadays a standard investigation in the\nfield of medical informatics. The acquired data can be used in lots of different applications.\nOne of them is to fabricate the fetus model using a 3D printer. The problem here is to\nconvert the given volume data into a structure that can be printed. Current generation\nof 3D printers expect as an input objects defined by closed surfaces. This work handles\nthe problem of how to calculate such surfaces. Our solution relies on the marching cubes\nalgorithm that extracts the surface out of the volume data. The extracted surface is then\nrefined. The last processing step is to save the data into an suitable data format. The\nresults demonstrate that it is possible to print the fetus model from the 3D ultrasound\ndata and that people are able to perceive the face of the fetus in the fabricated objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1345
        ],
        "date_end": "2016",
        "date_start": "2016",
        "duration": "8 months",
        "matrikelnr": "1325306",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.cg.tuwien.ac.at/courses/projekte/3d-printing-fetal-ultrasound",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "moerth_eric-2016-3DF-thesis.pdf",
                "type": "application/x-download",
                "size": 17060361,
                "path": "Publication:moerth_eric-2016-3DF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/moerth_eric-2016-3DF-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/moerth_eric-2016-3DF/",
        "__class": "Publication"
    },
    {
        "id": "musialski_2016_sosp",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-Linear Shape Optimization Using Local Subspace Projections",
        "date": "2016",
        "abstract": "In this paper we present a novel method for non-linear shape optimization of 3d objects given by their surface representation. Our method takes advantage of the fact that various shape properties of interest give rise to underdetermined design spaces implying the existence of many good solutions. Our algorithm exploits this by performing iterative projections of the problem to local subspaces where it can be solved much more efficiently using standard numerical routines.\n\nWe demonstrate how this approach can be utilized for various shape optimization tasks using different shape parameterizations. In particular, we show how to efficiently optimize natural frequencies, mass properties, as well as the structural yield strength of a solid body. Our method is flexible, easy to implement, and very fast.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1774,
            "image_height": 1024,
            "name": "musialski_2016_sosp-image.png",
            "type": "image/png",
            "size": 1030436,
            "path": "Publication:musialski_2016_sosp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            1090,
            1063,
            836,
            193,
            1243
        ],
        "date_from": "2016-07-24",
        "date_to": "2016-07-28",
        "doi": "10.1145/2897824.2925886",
        "event": "ACM SIGGRAPH 2016",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            844,
            1090
        ],
        "location": "Anaheim, CA, USA",
        "number": "4",
        "pages_from": "87:1",
        "pages_to": "87:13",
        "volume": "35",
        "research_areas": [
            "Fabrication",
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/2897824.2925886",
                "caption": "doi",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "MATLAB demo code of subspace projection",
                "filetitle": "code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2016_sosp-code.zip",
                "type": "application/octet-stream",
                "size": 2180501,
                "path": "Publication:musialski_2016_sosp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-code.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1774,
                "image_height": 1024,
                "name": "musialski_2016_sosp-image.png",
                "type": "image/png",
                "size": 1030436,
                "path": "Publication:musialski_2016_sosp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-image:thumb{{size}}.png"
            },
            {
                "description": "paper, full resolution",
                "filetitle": "paper_25MB",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2016_sosp-paper_25MB.pdf",
                "type": "application/pdf",
                "size": 27147489,
                "path": "Publication:musialski_2016_sosp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_25MB:thumb{{size}}.png"
            },
            {
                "description": "paper, low resolution",
                "filetitle": "paper_3MB",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2016_sosp-paper_3MB.pdf",
                "type": "application/pdf",
                "size": 2640714,
                "path": "Publication:musialski_2016_sosp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-paper_3MB:thumb{{size}}.png"
            },
            {
                "description": "[150 KB]",
                "filetitle": "supplemental",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2016_sosp-supplemental.pdf",
                "type": "application/pdf",
                "size": 154825,
                "path": "Publication:musialski_2016_sosp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/musialski_2016_sosp-supplemental:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/musialski_2016_sosp/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger-2016-sgp",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Curve Reconstruction with Many Fewer Samples",
        "date": "2016",
        "abstract": "We consider the problem of sampling points from a collection of smooth curves in the plane, such that the Crust family of proximity-based reconstruction algorithms can rebuild the curves. Reconstruction requires a dense sampling of local features, i.e., parts of the curve that are close in Euclidean distance but far apart geodesically.\nWe show that epsilon<0.47-sampling is sufficient for our proposed HNN-CRUST variant, improving upon the \nstate-of-the-art requirement of epsilon<1/3-sampling.\nThus we may reconstruct curves with many fewer samples.\nWe also present a new sampling scheme that reduces the required density even further than epsilon<0.47-sampling.\nWe achieve this by better controlling the spacing between geodesically consecutive points.\nOur novel sampling condition is based on the reach, the minimum local feature size along intervals between samples.\nThis is mathematically closer to the reconstruction density requirements, particularly near sharp-angled features.\nWe prove lower and upper bounds on reach rho-sampling density in terms of lfs epsilon-sampling and demonstrate that we typically reduce the required number of samples for reconstruction by more than half.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2000,
            "image_height": 1200,
            "name": "ohrhallinger-2016-sgp-image.png",
            "type": "image/png",
            "size": 54228,
            "path": "Publication:ohrhallinger-2016-sgp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1363,
            193
        ],
        "date_from": "2016-06-20",
        "date_to": "2016-06-24",
        "event": "Symposium on Geometry Processing",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            948
        ],
        "location": "Berlin, Germany",
        "number": "5",
        "pages_from": "167",
        "pages_to": "176",
        "volume": "35",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "sampling condition",
            "curve reconstruction",
            "curve sampling"
        ],
        "weblinks": [
            {
                "href": "https://github.com/stefango74/hnn-crust-sgp16",
                "caption": "Reproducibility Source Code",
                "description": "This git repository contains all source code and instructions to reproduce the relevant figures and tables of the paper on an Ubuntu 16.04LTS system.",
                "main_file": 1
            },
            {
                "href": "http://dx.doi.org/10.1111/cgf.12973",
                "caption": "doi",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2000,
                "image_height": 1200,
                "name": "ohrhallinger-2016-sgp-image.png",
                "type": "image/png",
                "size": 54228,
                "path": "Publication:ohrhallinger-2016-sgp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger-2016-sgp-paper.pdf",
                "type": "application/pdf",
                "size": 969324,
                "path": "Publication:ohrhallinger-2016-sgp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-paper:thumb{{size}}.png"
            },
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger-2016-sgp-slides.pdf",
                "type": "application/pdf",
                "size": 6164109,
                "path": "Publication:ohrhallinger-2016-sgp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/ohrhallinger-2016-sgp-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D",
            "ShapeAcquisition"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ohrhallinger-2016-sgp/",
        "__class": "Publication"
    },
    {
        "id": "POLLAK-2016-STEREO",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving Performance for Stereo Rendering - cancelled",
        "date": "2016",
        "abstract": "Generelles Thema: performance für HMD-Rendering erhöhen\nBeispiele:\n- foveated rendering (ev. SMI oculus eye tracker?)\n- instanced stereo rendering\n- specular reflections only on one sides\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1352
        ],
        "duration": "6",
        "matrikelnr": "1027451",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/POLLAK-2016-STEREO/",
        "__class": "Publication"
    },
    {
        "id": "Chen-Information-2016",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information Theory Tools for Visualization",
        "date": "2016",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1083,
            608,
            171,
            1512,
            207,
            1513
        ],
        "isbn": "9781498740937",
        "pages": "194",
        "publisher": "CRC Press",
        "research_areas": [
            "IllVis",
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Chen-Information-2016/",
        "__class": "Publication"
    },
    {
        "id": "Cornel2016CFM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Composite Flow Maps",
        "date": "2016",
        "abstract": "Flow maps are widely used to provide an overview of geospatial transportation data. Existing solutions lack the support for the interactive exploration of multiple flow components at once. Flow components are given by different materials being transported, different flow directions, or by the need for comparing alternative scenarios. In this paper, we combine flows as individual ribbons in one composite flow map. The presented approach can handle an arbitrary number of sources and sinks. To avoid visual clutter, we simplify our flow maps based on a force-driven algorithm, accounting for restrictions with respect to application semantics. The goal is to preserve important characteristics of the geospatial context. This feature also enables us to highlight relevant spatial information on top of the flow map such as traffic conditions or accessibility. The flow map is computed on the basis of flows between zones. We describe a method for auto-deriving zones from geospatial data according to application requirements. We demonstrate the method in real-world applications, including transportation logistics, evacuation procedures, and water simulation. Our results are evaluated with experts from corresponding fields.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 914,
            "image_height": 537,
            "name": "Cornel2016CFM-image.jpg",
            "type": "image/jpeg",
            "size": 169070,
            "path": "Publication:Cornel2016CFM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877,
            1205,
            1058,
            1207,
            1008,
            171,
            798
        ],
        "event": "EuroVis 2016",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            877
        ],
        "location": "Gronningen, The Netherlands",
        "number": "3",
        "pages_from": "461",
        "pages_to": "470",
        "volume": "35",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 914,
                "image_height": 537,
                "name": "Cornel2016CFM-image.jpg",
                "type": "image/jpeg",
                "size": 169070,
                "path": "Publication:Cornel2016CFM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Cornel2016CFM-paper.pdf",
                "type": "application/pdf",
                "size": 15694822,
                "path": "Publication:Cornel2016CFM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/Cornel2016CFM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Cornel2016CFM/",
        "__class": "Publication"
    },
    {
        "id": "donabauer-2015-asc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Screen Capturing",
        "date": "2016",
        "abstract": "Creating a free-form screen shot to get what is needed is not trivial task. Moving the\nmouse cursor around the desired region to indicate the boundary of the screen snippet\noften yields jagged outlines in the result image. Furthermore, it is not that easy to fully\nexclude unnecessary screen elements during the selection process. As a consequence, the\ncreated screen shot may also contain some small portions of surrounded image elements\nwhich are unwanted in the result image or some areas may be accidentally truncated.\nTo overcome these limitations, Advanced Screen Capturing combines screen capture\nfunctionalities with image processing methods as an alternative way for creating free-form\nscreen shots. The selection of the desired screen region is done by roughly selecting\nthe needed image area. After extracting the highlighted screen region, a stroke mask\nis calculated for detecting the surrounded image elements by the drawn stroke. This\nstroke mask forms the basis for rejecting or accepting partly crossed image regions or\ntruncating large ones. The image regions for accepting and rejection are detected as\ncontours. By combining the stroke mask and the detected contours the segmentation\nmask is generated, where image regions are either fully included, fully rejected, or cut,\ndepending on their amount of overlays with the stroke mask. Based on the segmentation\nmask, the original captured screen shot is segmented. In the end, the calculated result\nimage contains all user defined relevant image information and adapted image boundaries.\nThe introduced screen capture and contour-based segmentation algorithm works best for\nscreen elements like text, charts, different kinds of shapes and a combination of these.\nAdvanced Screen Capturing can be used as a library for integration purposes in other\nsystems or as a stand alone desktop application. It was implemented by using C++ and\nQt Framework and the OpenCV library.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "donabauer-2015-asc-.png",
            "type": "image/png",
            "size": null,
            "path": "Publication:donabauer-2015-asc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1266
        ],
        "date_end": "2016-07",
        "date_start": "2015-10",
        "matrikelnr": "1226287",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "donabauer-2015-asc-.png",
                "type": "image/png",
                "size": null,
                "path": "Publication:donabauer-2015-asc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "donabauer-2015-asc-thesis.pdf",
                "type": "application/pdf",
                "size": null,
                "path": "Publication:donabauer-2015-asc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/donabauer-2015-asc-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "deskollage"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/donabauer-2015-asc/",
        "__class": "Publication"
    },
    {
        "id": "glinzner-2016-tex",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Texturing of 3D Objects using Simple Physics and Equilateral Triangle Patches",
        "date": "2016",
        "abstract": "Visualizing cells, in particular cell membranes, is the inspiration for this work. The goal of the presented methods is the efficient visualization of phospholipid membranes.\nA prominent role hereby plays the concept of seamlessly texturing a surface in  threedimensional\nspace. By using suitable texture patches, memory consumption can be kept\nlow.\nThe developed algorithm first creates a texture mesh that stays faithful to the surface\nstructure of a user-provided input-mesh. This texture mesh consists of equilateral triangles.\nThe triangulation is achieved by first simulating repulsion between the vertices making up the texture mesh. This way they are moved around on the surface of the input-mesh\nuntil they are uniformly distributed. Mapping texture onto equilateral triangles becomes\ntrivial if triangular texture patches are assumed as well. Thus, seamless texturing is\nachieved.\nThe implementation is described in detail, followed by the demonstration of results. Also,\nan exemplary performance-analysis is given, highlighting benefits and shortcomings of\nthe algorithm, especially concerning runtime. Additionally, a short overview of related\nand prior work is given.\nThe used framework is Unity 3D.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 999,
            "image_height": 732,
            "name": "glinzner-2016-tex-image.jpg",
            "type": "image/jpeg",
            "size": 120076,
            "path": "Publication:glinzner-2016-tex",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1371
        ],
        "date_end": "2016-08",
        "date_start": "2015-04",
        "matrikelnr": "0726342",
        "note": "1",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 999,
                "image_height": 732,
                "name": "glinzner-2016-tex-image.jpg",
                "type": "image/jpeg",
                "size": 120076,
                "path": "Publication:glinzner-2016-tex",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "glinzner-2016-tex-paper.pdf",
                "type": "application/pdf",
                "size": 3871136,
                "path": "Publication:glinzner-2016-tex",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "glinzner-2016-tex-source.zip",
                "type": "application/x-zip-compressed",
                "size": 8365868,
                "path": "Publication:glinzner-2016-tex",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/glinzner-2016-tex-source.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/glinzner-2016-tex/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P1",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": " Visual Analysis of Defects in Glass Fiber Reinforced Polymers for 4DCT Interrupted In situ Tests",
        "date": "2016",
        "abstract": "Material engineers use interrupted in situ tensile testing to investigate the damage mechanisms in composite materials. For\neach subsequent scan, the load is incrementally increased until the specimen is completely fractured. During the interrupted in situ testing of glass fiber reinforced polymers (GFRPs) defects of four types are expected to appear: matrix fracture, fiber/matrix debonding, fiber pull-out, and fiber fracture. There is a growing demand for the detection and analysis of these defects among the material engineers. In this paper, we present a novel workflow for the detection, classification, and visual analysis of defects in GFRPs using interrupted in situ tensile tests in combination with X-ray Computed Tomography. The workflow is based on the\nautomatic extraction of defects and fibers. We introduce the automatic Defect Classifier assigning the most suitable type to each defect based on its geometrical features. We present a visual analysis system that integrates four visualization methods: 1) the Defect Viewer highlights defects with visually encoded type in the context of the original CT image, 2) the Defect Density Maps provide an overview of the defect distributions according to type in 2D and 3D, 3) the Final Fracture Surface estimates the material fracture’s location and displays it as a 3D surface, 4) the 3D Magic Lens enables interactive exploration by combining detailed visualizations in the region of interest with overview visualizations as context. In collaboration with material engineers,\nwe evaluate our solution and demonstrate its practical applicability.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 427,
            "image_height": 107,
            "name": "Groeller_2016_P1-image.jpg",
            "type": "image/jpeg",
            "size": 10634,
            "path": "Publication:Groeller_2016_P1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1170,
            817,
            790,
            571,
            166,
            611
        ],
        "issn": "doi: 10.1111/cgf.12896",
        "journal": "Computer Graphics Forum (2016)",
        "number": "3",
        "pages_from": "201",
        "pages_to": "210",
        "volume": " 35",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 427,
                "image_height": 107,
                "name": "Groeller_2016_P1-image.jpg",
                "type": "image/jpeg",
                "size": 10634,
                "path": "Publication:Groeller_2016_P1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2016_P1-Paper.pdf",
                "type": "application/pdf",
                "size": 3432744,
                "path": "Publication:Groeller_2016_P1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/Groeller_2016_P1-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P1/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P2",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards Quantitative Visual Analytics with Structured Brushing and Linked Statistics",
        "date": "2016",
        "abstract": "Until now a lot of visual analytics predominantly delivers qualitative results—based, for example, on a continuous color map or a detailed spatial encoding. Important target applications, however, such as medical diagnosis and decision making, clearly benefit from quantitative analysis results. In this paper we propose several specific extensions to the well-established concept of\nlinking&brushing in order to make the analysis results more quantitative. We structure the brushing space in order to improve the reproducibility of the brushing operation, e.g., by introducing the percentile grid. We also enhance the linked visualization with overlaid descriptive statistics to enable a more quantitative reading of the resulting focus+context visualization. Addition-\nally, we introduce two novel brushing techniques: the percentile brush and the Mahalanobis brush. Both use the underlying\ndata to support statistically meaningful interactions with the data. We illustrate the use of the new techniques in the context of two case studies, one based on meteorological data and the other one focused on data from the automotive industry where we evaluate a shaft design in the context of mechanical power transmission in cars.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 340,
            "image_height": 287,
            "name": "Groeller_2016_P2-image.jpg",
            "type": "image/jpeg",
            "size": 25399,
            "path": "Publication:Groeller_2016_P2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1359,
            1204,
            235,
            710,
            166,
            176
        ],
        "journal": "Computer Graphics Forum (2016)",
        "location": "EUROVIS 2016",
        "number": "3",
        "pages_from": "251",
        "pages_to": "260",
        "volume": "35",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 340,
                "image_height": 287,
                "name": "Groeller_2016_P2-image.jpg",
                "type": "image/jpeg",
                "size": 25399,
                "path": "Publication:Groeller_2016_P2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Groeller_2016_P2-paper.pdf",
                "type": "application/pdf",
                "size": 12830428,
                "path": "Publication:Groeller_2016_P2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/Groeller_2016_P2-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P2/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_P3",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "State of the Art in Transfer Functions for Direct Volume Rendering",
        "date": "2016",
        "abstract": "A central topic in scientific visualization is the transfer function (TF) for volume rendering. The TF serves a fundamental role in translating scalar and multivariate data into color and opacity to express and reveal the relevant features present in the data studied. Beyond this core functionality, TFs also serve as a tool for encoding and utilizing domain knowledge and as an expression for visual design of material appearances. TFs also enable interactive volumetric exploration of complex data. The purpose of this state-of-the-art report (STAR) is to provide an overview of research into the various aspects of TFs, which lead\nto interpretation of the underlying data through the use of meaningful visual representations. The STAR classifies TF research into the following aspects: dimensionality, derived attributes, aggregated attributes, rendering aspects, automation, and user interfaces. The STAR concludes with some interesting research challenges that form the basis of an agenda for the development of next generation TF tools and methodologies.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 293,
            "image_height": 355,
            "name": "Groeller_2016_P3-image.jpg",
            "type": "image/jpeg",
            "size": 19111,
            "path": "Publication:Groeller_2016_P3",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1397,
            1398,
            166,
            226,
            1399,
            1186
        ],
        "event": "EuroVisSTAR2016",
        "journal": "Computer Graphics Forum (2016)",
        "location": " ",
        "number": "3",
        "pages_from": "669",
        "pages_to": "691",
        "volume": "35",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 293,
                "image_height": 355,
                "name": "Groeller_2016_P3-image.jpg",
                "type": "image/jpeg",
                "size": 19111,
                "path": "Publication:Groeller_2016_P3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Groeller_2016_P3-paper.pdf",
                "type": "application/pdf",
                "size": 11431259,
                "path": "Publication:Groeller_2016_P3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/Groeller_2016_P3-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Groeller_2016_P3/",
        "__class": "Publication"
    },
    {
        "id": "raidou_eurovis16",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response.",
        "date": "2016",
        "abstract": "In radiotherapy, tumors are irradiated with a high dose, while surrounding healthy tissues are spared. To quantify the prob-ability that a tumor is effectively treated with a given dose, statistical models were built and employed in clinical research.These are called tumor control probability (TCP) models. Recently, TCP models started incorporating additional informationfrom imaging modalities. In this way, patient-specific properties of tumor tissues are included, improving the radiobiologicalaccuracy of models. Yet, the employed imaging modalities are subject to uncertainties with significant impact on the modelingoutcome, while the models are sensitive to a number of parameter assumptions. Currently, uncertainty and parameter sensitivityare not incorporated in the analysis, due to time and resource constraints. To this end, we propose a visual tool that enablesclinical researchers working on TCP modeling, to explore the information provided by their models, to discover new knowledgeand to confirm or generate hypotheses within their data. Our approach incorporates the following four main components: (1)It supports the exploration of uncertainty and its effect on TCP models; (2) It facilitates parameter sensitivity analysis to com-mon assumptions; (3) It enables the identification of inter-patient response variability; (4) It allows starting the analysis fromthe desired treatment outcome, to identify treatment strategies that achieve it. We conducted an evaluation with nine clinicalresearchers. All participants agreed that the proposed visual tool provides better understanding and new opportunities for theexploration and analysis of TCP modeling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "raidou_eurovis16-.pdf",
            "type": "application/pdf",
            "size": 2982085,
            "path": "Publication:raidou_eurovis16",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1444,
            1445,
            1446,
            1447,
            679,
            459
        ],
        "journal": "EuroVis - Eurographics/IEEE-VGTC Symposium on Visualization 2016",
        "lecturer": [
            1448,
            1449,
            652
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_eurovis16-.pdf",
                "type": "application/pdf",
                "size": 2982085,
                "path": "Publication:raidou_eurovis16",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_eurovis16-demo.mp4",
                "type": "video/mp4",
                "size": 43216314,
                "path": "Publication:raidou_eurovis16",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/raidou_eurovis16-demo:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_eurovis16/",
        "__class": "Publication"
    },
    {
        "id": "raidou_miccai16",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers.",
        "date": "2016",
        "abstract": "Accurate segmentation of brain white matter hyperintensi-ties (WMHs) is important for prognosis and disease monitoring. To thisend, classi\fers are often trained { usually, using T1 and FLAIR weightedMR  images.  Incorporating  additional  features,  derived  from  di\u000busionweighted MRI, could improve classi\fcation. However, the multitude ofdi\u000busion-derived features requires selecting the most adequate. For this,automated feature selection is commonly employed, which can often besub-optimal. In this work, we propose a di\u000berent approach, introducing asemi-automated pipeline to select interactively features for WMH classi\f-cation. The advantage of this solution is the integration of the knowledgeand skills of experts in the process. In our pipeline, a Visual Analytics(VA)  system  is  employed,  to  enable  user-driven  feature  selection.  Theresulting  features  are  T1,  FLAIR,  Mean  Di\u000busivity  (MD),  and  RadialDi\u000busivity (RD) { and secondarily,CSand Fractional Anisotropy (FA).The next step in the pipeline is to train a classi\fer with these features,and compare its results to a similar classi\fer, used in previous work withautomated feature selection. Finally, VA is employed again, to analyzeand understand the classi\fer performance and results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1433,
            1434,
            1435,
            1436,
            679,
            459
        ],
        "journal": "Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_miccai16-demo.mp4",
                "type": "video/mp4",
                "size": 40385545,
                "path": "Publication:raidou_miccai16",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-demo:video.mp4"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_miccai16-paper.pdf",
                "type": "application/pdf",
                "size": 927133,
                "path": "Publication:raidou_miccai16",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/raidou_miccai16-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/raidou_miccai16/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger_Fuhrmann_2016",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Concept for Re-Useable Interactive Tactile Reliefs",
        "date": "2016",
        "abstract": "We introduce a concept for a relief-printer, a novel production method for tactile reliefs, that allows to reproduce bas-reliefs of several centimeters height difference. In contrast to available methods, this printer will have a much smaller preparation time, and does not consume material nor produce waste, since it is based on a re-usable medium, suitable for temporary printouts. Second, we sketch a concept for the autonomous, interactive exploration of tactile reliefs, in the form of a gesture-controlled audio guide, based on recent depth cameras. Especially the combination of both approaches promises rapid tactile accessibility to 2.5D spatial    information in a home or education setting, to on-line resources, or as a kiosk installation in museums.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 335,
            "image_height": 156,
            "name": "Reichinger_Fuhrmann_2016-image.jpg",
            "type": "image/jpeg",
            "size": 10288,
            "path": "Publication:Reichinger_Fuhrmann_2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            204,
            228,
            190
        ],
        "booktitle": "A Concept for Re-Useable Interactive Tactile Reliefs",
        "journal": "ICCHP 2016, Part II",
        "lecturer": [
            1392
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 335,
                "image_height": 156,
                "name": "Reichinger_Fuhrmann_2016-image.jpg",
                "type": "image/jpeg",
                "size": 10288,
                "path": "Publication:Reichinger_Fuhrmann_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reichinger_Fuhrmann_2016-paper.pdf",
                "type": "application/pdf",
                "size": 428189,
                "path": "Publication:Reichinger_Fuhrmann_2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/Reichinger_Fuhrmann_2016-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reichinger_Fuhrmann_2016/",
        "__class": "Publication"
    },
    {
        "id": "Reisacher_Matthias_CPW",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CellPathway a Simulation Tool for Illustrative Visualization of Biochemical Networks",
        "date": "2016",
        "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot of attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy of a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from anatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I propose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain  molecular activities during the simulation process, a real-time glow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a set of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation. The CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time, while the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore, a graphical user interface has been implemented to allow the user to control parameters during simulation interactively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1267
        ],
        "matrikelnr": "1125358",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reisacher_Matthias_CPW-Thesis.pdf",
                "type": "application/pdf",
                "size": 2772334,
                "path": "Publication:Reisacher_Matthias_CPW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/Reisacher_Matthias_CPW-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher_Matthias_CPW/",
        "__class": "Publication"
    },
    {
        "id": "Reisacher2016",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "CellPathway: A Simulation Tool for Illustrative Visualization of Biochemical Networks",
        "date": "2016",
        "abstract": "The molecular knowledge about complex biochemical reaction networks in biotechnology is crucial and has received a lot\nof attention lately. As a consequence, multiple visualization programs have been already developed to illustrate the anatomy\nof a cell. However, since a real cell performs millions of reactions every second to sustain live, it is necessary to move from\nanatomical to physiological illustrations to communicate knowledge about the behavior of a cell more accurately. In this thesis I\npropose a reaction system including a collision detection algorithm, which is able to work at the level of single atoms, to enable\nprecise simulation of molecular interactions. To visually explain molecular activities during the simulation process, a real-time\nglow effect in combination with a clipping object have been implemented. Since intracellular processes are performed with a\nset of chemical transformations, a hierarchical structure is used to illustrate the impact of one reaction on the entire simulation.\nThe CellPathway system integrates acceleration techniques to render large datasets containing millions of atoms in real-time,\nwhile the reaction system is processed directly on the GPU to enable simulation with more than 1000 molecules. Furthermore,\na graphical user interface has been implemented to allow the user to control parameters during simulation interactively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 400,
            "image_height": 400,
            "name": "Reisacher2016-image.jpg",
            "type": "image/jpeg",
            "size": 135376,
            "path": "Publication:Reisacher2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1267,
            1189,
            171
        ],
        "booktitle": "Proceedings of WSCG",
        "lecturer": [
            1189
        ],
        "location": "Pilsen, Czech Republic",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 400,
                "image_height": 400,
                "name": "Reisacher2016-image.jpg",
                "type": "image/jpeg",
                "size": 135376,
                "path": "Publication:Reisacher2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reisacher2016-paper.pdf",
                "type": "application/pdf",
                "size": 1151123,
                "path": "Publication:Reisacher2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/Reisacher2016-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Reisacher2016/",
        "__class": "Publication"
    },
    {
        "id": "Solteszova2016",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Output-Sensitive Filtering of Streaming Volume Data",
        "date": "2016",
        "abstract": "Real-time volume data acquisition poses substantial challenges for the traditional visualization pipeline where data enhancement is typically seen as a pre-processing step. In the case of 4D ultrasound data, for instance, costly processing operations to reduce noise and to remove artefacts need to be executed for every frame. To enable the use of high-quality filtering operations in such scenarios, we propose an output-sensitive approach to the visualization of streaming volume data. Our method evaluates the potential contribution of all voxels to the final image, allowing us to skip expensive processing operations that have little or no effect on the visualization. As filtering operations modify the data values which may affect the visibility, our main contribution is a fast scheme to predict their maximum effect on the final image. Our approach prioritizes filtering of voxels with high contribution to the final visualization based on a maximal permissible error per pixel. With zero permissible error, the optimized filtering will yield a result that is identical to filtering of the entire volume. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios that require on-the-fly processing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 272,
            "image_height": 312,
            "name": "Solteszova2016-image.jpg",
            "type": "image/jpeg",
            "size": 15871,
            "path": "Publication:Solteszova2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1304,
            1007,
            1370,
            171,
            161
        ],
        "journal": "Computer Graphics Forum",
        "volume": "35",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 272,
                "image_height": 312,
                "name": "Solteszova2016-image.jpg",
                "type": "image/jpeg",
                "size": 15871,
                "path": "Publication:Solteszova2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Solteszova2016-paper.pdf",
                "type": "application/pdf",
                "size": 6192686,
                "path": "Publication:Solteszova2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/Solteszova2016-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Solteszova2016/",
        "__class": "Publication"
    },
    {
        "id": "Hochpoechler_2016_VR",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Navigating through Biological Structures within Virtual Reality",
        "date": "2016",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1418
        ],
        "date_start": "2016",
        "matrikelnr": "1326347",
        "supervisor": [
            1285
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Hochpoechler_2016_VR/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2016-cmssg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Modeling with Symbolic Shape Grammars",
        "date": "2016",
        "abstract": "Generative design based on symbolic grammars is oriented on individual artists. Team work is not supported since single scripts produced by various artists have to be linked and maintained manually with a lot of effort. The main motivation for a collaborative modeling framework was to reduce the script management required for large projects. We achieved even more by extending the design paradigm to a cloud environment where everyone is part of a huge virtual team. The main contribution of the presented work is a web-based modeling system with a specialized variant of a symbolic shape grammar.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Four variations of an office.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3816,
            "image_height": 2753,
            "name": "ilcik-2016-cmssg-image.png",
            "type": "image/png",
            "size": 3426115,
            "path": "Publication:ilcik-2016-cmssg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            193
        ],
        "booktitle": "Proceedings of eCAADe 2016",
        "date_from": "2016-08-22",
        "date_to": "2016-08-26",
        "lecturer": [
            1303
        ],
        "location": "Oulu, Finland",
        "pages_from": "417",
        "pages_to": "426",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "collaboration, procedural modeling, procedural modeling"
        ],
        "weblinks": [
            {
                "href": "http://papers.cumincad.org/cgi-bin/works/Show?ecaade2016_185",
                "caption": "paper",
                "description": null,
                "main_file": 0
            },
            {
                "href": "https://www.youtube.com/watch?v=nqd7p8mKzJM",
                "caption": "video",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Four variations of an office.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3816,
                "image_height": 2753,
                "name": "ilcik-2016-cmssg-image.png",
                "type": "image/png",
                "size": 3426115,
                "path": "Publication:ilcik-2016-cmssg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/ilcik-2016-cmssg-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/ilcik-2016-cmssg/",
        "__class": "Publication"
    },
    {
        "id": "intel2016",
        "type_id": "talk",
        "tu_id": 253112,
        "repositum_id": null,
        "title": "Real-time Subsurface Scattering, Light Transport and Two Minute Papers",
        "date": "2016",
        "abstract": "Károly Zsolnai-Fehér is a PhD student at the Technical University of Vienna.\n\nHe is going to talk about Separable Subsurface Scattering, his recent collaboration with Activision Blizzard and the University of Zaragoza to render subsurface scattering in real time on the GPU for computer games.\n\nNext, he'll transition to global illumination and explain a a simple extension to Metropolis Light Transport to improve the convergence speed on a variety of scenes.\n\nThe third part will be about Two Minute Papers, a YouTube web series that he started recently to communicate the most beautiful research results to a general audience.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1072,
            "image_height": 577,
            "name": "intel2016-.jpg",
            "type": "image/jpeg",
            "size": 40026,
            "path": "Publication:intel2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073
        ],
        "date_from": "2016-01-16",
        "event": "Intel Graphics Architecture Forum",
        "location": "Intel Advanced Rendering Technology group",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "light transport",
            "subsurface scattering",
            "two minute papers"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1072,
                "image_height": 577,
                "name": "intel2016-.jpg",
                "type": "image/jpeg",
                "size": 40026,
                "path": "Publication:intel2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/intel2016-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/intel2016/",
        "__class": "Publication"
    },
    {
        "id": "kendlbacher-2016",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Introduction Of OpenStreetMap For The Automatic Generation Of Destination Maps",
        "date": "2016",
        "abstract": "A destination map allows all travelers, within the given region of interest, to reach\nthe same destination, no matter where exactly they start their journey at. For this\npurpose the important roads for traversing the road network are chosen, while the\nnon-important roads are removed for clarity. These selected roads are then simplified\nto reduce unnecessary complexity, while maintaining the structure of the road network.\nThe chosen data is then tweaked to increase the visibility of the small roads. During this\nprocess the layout is iteratively changed and evaluated according to certain aspects, and\nif a newly proposed layout performs better than the old one, that new one forms the basis\nfor all future changes. In this work a method for automatically creating destination maps\nis implemented based on the algorithm proposed in the paper by Kopf et al. [KAB+10],\nwith efforts made to improve the original work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Overview",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1759,
            "image_height": 976,
            "name": "kendlbacher-2016-image.png",
            "type": "image/png",
            "size": 389202,
            "path": "Publication:kendlbacher-2016",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1274
        ],
        "co_supervisor": [
            836
        ],
        "date_end": "2016",
        "date_start": "2015",
        "matrikelnr": "1128051",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "Destination Maps",
            "OpenStreetMap"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Overview",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1759,
                "image_height": 976,
                "name": "kendlbacher-2016-image.png",
                "type": "image/png",
                "size": 389202,
                "path": "Publication:kendlbacher-2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-image:thumb{{size}}.png"
            },
            {
                "description": "Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kendlbacher-2016-thesis.pdf",
                "type": "application/pdf",
                "size": 7646019,
                "path": "Publication:kendlbacher-2016",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/kendlbacher-2016-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kendlbacher-2016/",
        "__class": "Publication"
    },
    {
        "id": "kreuzer-2016-isf",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Sketching of Floorplans",
        "date": "2016",
        "abstract": "Traditional CAD tools for architects offer a vast variety of drawing utilities to design buildings. It is up to the architect to maintain structural constraints such as beams and room-accessibility.  \n\nThe main purpose of this internship was to design and implement an architectural CAD tool which automatically optimizes the building layout, based on constraints derived from architectural bestpractice concepts. The toolkit offers a user interface, where drawing and editing can be performed and a backend interface, where optimization algorithms i.e. constraint solvers can be implemented. \n ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1046
        ],
        "date_end": "2016-11-02",
        "date_start": "2014-10-01",
        "matrikelnr": "0827433",
        "supervisor": [
            844,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "interactive modeling",
            "architectural modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 962,
                "image_height": 701,
                "name": "kreuzer-2016-isf-image.png",
                "type": "image/png",
                "size": 89878,
                "path": "Publication:kreuzer-2016-isf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-image:thumb{{size}}.png"
            },
            {
                "description": "report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kreuzer-2016-isf-report.pdf",
                "type": "application/pdf",
                "size": 145043,
                "path": "Publication:kreuzer-2016-isf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/kreuzer-2016-isf-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/kreuzer-2016-isf/",
        "__class": "Publication"
    },
    {
        "id": "Krone2016VABC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Biomolecular Cavities: State of the Art",
        "date": "2016",
        "abstract": "In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1754,
            "image_height": 1188,
            "name": "Krone2016VABC-image.jpg",
            "type": "image/jpeg",
            "size": 131835,
            "path": "Publication:Krone2016VABC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1249,
            1248,
            1250,
            1252,
            1253,
            1143,
            1026,
            171
        ],
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1249
        ],
        "location": "Gronningen, The Netherlands",
        "number": "3",
        "pages_from": "527",
        "pages_to": "551",
        "volume": "35",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12928/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1754,
                "image_height": 1188,
                "name": "Krone2016VABC-image.jpg",
                "type": "image/jpeg",
                "size": 131835,
                "path": "Publication:Krone2016VABC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Krone2016VABC-paper.pdf",
                "type": "application/pdf",
                "size": 26594142,
                "path": "Publication:Krone2016VABC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/Krone2016VABC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/Krone2016VABC/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2016-coan",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Co-Analysis and Parameterization of 3D Shape Collections for Shape Synthesis",
        "date": "2016",
        "abstract": "With online model repositories growing larger every day, both experienced and inexperienced modelers are presented with new possibilities for content creation. One such possibility is the creation of new shapes by combining parts of already existing shapes. The advantages of this shape synthesis method are that it takes less time than traditional modeling approaches and that it can be used even by inexperienced users. This thesis introduces a framework for this type of shape synthesis that consists of four stages, incorporating a new way for parameterization and exploration of shape collections. Using a modular and extensible approach, the co-analysis stage groups parts of shapes into categories based on their function, creating a correspondence between parts of different shapes. By analyzing relations between pairs of parts and how their spatial arrangements vary across the collection, a small number of parameters is found in the parameterization stage. Starting with an initial shape, these parameters can then be used to browse the collection in the exploration stage, either by altering the parameters directly or by interacting with the shape itself. Finally, in the synthesis stage a new shape can be created by exchanging parts of the initial shape with corresponding parts of the shapes found during the exploration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 581,
            "image_height": 342,
            "name": "leimer-2016-coan-image.png",
            "type": "image/png",
            "size": 174845,
            "path": "Publication:leimer-2016-coan",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019
        ],
        "date_end": "2016-02-29",
        "date_start": "2015-01-30",
        "matrikelnr": "0825842",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "computer graphics",
            "3D shape segmentation",
            "3D shape co-analysis",
            "3D shape processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 581,
                "image_height": 342,
                "name": "leimer-2016-coan-image.png",
                "type": "image/png",
                "size": 174845,
                "path": "Publication:leimer-2016-coan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-image:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2016-coan-poster.pdf",
                "type": "application/pdf",
                "size": 2311490,
                "path": "Publication:leimer-2016-coan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-poster:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2016-coan-thesis.pdf",
                "type": "application/pdf",
                "size": 23133043,
                "path": "Publication:leimer-2016-coan",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/leimer-2016-coan-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/leimer-2016-coan/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic-mindek-2016-viseq",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Equalizer: Cutaway Visualization of Mesoscopic Biological Models",
        "date": "2016",
        "abstract": "In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Preview",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 742,
            "image_height": 663,
            "name": "lemuzic-mindek-2016-viseq-Preview.png",
            "type": "image/png",
            "size": 858868,
            "path": "Publication:lemuzic-mindek-2016-viseq",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            935,
            1072,
            1260,
            1365,
            171
        ],
        "date_from": "2016-06-06",
        "date_to": "2016-06-10",
        "event": "EuroVis 2016",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            935
        ],
        "location": "Groningen, Netherlands",
        "number": "3",
        "volume": "35",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "molecular visualization",
            "visibility",
            "occlusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lemuzic-mindek-2016-viseq-Paper.pdf",
                "type": "application/pdf",
                "size": 3971312,
                "path": "Publication:lemuzic-mindek-2016-viseq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 742,
                "image_height": 663,
                "name": "lemuzic-mindek-2016-viseq-Preview.png",
                "type": "image/png",
                "size": 858868,
                "path": "Publication:lemuzic-mindek-2016-viseq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Preview:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lemuzic-mindek-2016-viseq-Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 140149203,
                "path": "Publication:lemuzic-mindek-2016-viseq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/lemuzic-mindek-2016-viseq-Slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/lemuzic-mindek-2016-viseq/",
        "__class": "Publication"
    },
    {
        "id": "malan_fluoro",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection.",
        "date": "2016",
        "abstract": "PURPOSE:\nIn orthopaedics, minimally invasive injection of bone cement is an established technique. We present HipRFX, a software tool for planning and guiding a cement injection procedure for stabilizing a loosening hip prosthesis. HipRFX works by analysing a pre-operative CT and intraoperative C-arm fluoroscopic images.\nMETHODS:\nHipRFX simulates the intraoperative fluoroscopic views that a surgeon would see on a display panel. Structures are rendered by modelling their X-ray attenuation. These are then compared to actual fluoroscopic images which allow cement volumes to be estimated. Five human cadaver legs were used to validate the software in conjunction with real percutaneous cement injection into artificially created periprothetic lesions.\nRESULTS:\nBased on intraoperatively obtained fluoroscopic images, our software was able to estimate the cement volume that reached the pre-operatively planned targets. The actual median target lesion volume was 3.58 ml (range 3.17-4.64 ml). The median error in computed cement filling, as a percentage of target volume, was 5.3% (range 2.2-14.8%). Cement filling was between 17.6 and 55.4% (median 51.8%).\nCONCLUSIONS:\nAs a proof of concept, HipRFX was capable of simulating intraoperative fluoroscopic C-arm images. Furthermore, it provided estimates of the fraction of injected cement deposited at its intended target location, as opposed to cement that leaked away. This level of knowledge is usually unavailable to the surgeon viewing a fluoroscopic image and may aid in evaluating the success of a percutaneous cement injection intervention.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1437,
            1438,
            1410,
            1439,
            1440,
            1441,
            1442,
            1443
        ],
        "journal": "International journal of computer assisted radiology and surgery,",
        "number": "2",
        "pages_from": "281",
        "pages_to": "296",
        "volume": "11",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://www.ncbi.nlm.nih.gov/pubmed/26259554",
                "caption": "Paper can be accessed here",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2016/malan_fluoro/",
        "__class": "Publication"
    },
    {
        "id": "Red_Andreas_2015_FFT",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fuzzy feature tracking",
        "date": "2015-12",
        "abstract": "In situ analysis is becoming increasingly important in the evaluation of existing as well as novel materials and components. In this domain, specialists require answers on questions such as: How does a process change internal and external structures of a component? or How do the internal features evolve?In this work, we present a novel integrated visual analysis tool to evaluate series of X-ray Computed Tomography (XCT) data. We therefore process volume datasets of a series of XCT scans, which non-destructively cover the evolution of a process by in situ scans. After the extraction of individual features, a feature tracking algorithm is applied to detect changes of features throughout the series as events. We distinguish between creation, continuation, split, merge and dissipation events. As an explicit tracking is not always possible, we introduce the computation of a Tracking Uncertainty. We visualize the data together with the determined events in multiple linked-views, each emphasizing individual aspects of the 4D-XCT dataset series: A Volume Player and a 3D Data View show the spatial feature information, whereas the global overview of the feature evolution is visualized in the Event Explorer. The Event Explorer allows for interactive exploration and selection of the events of interest. The selection is further used as basis to calculate a Fuzzy Tracking Graph visualizing the global evolution of the features over the whole series.We finally demonstrate the results and advantages of the proposed tool using various real world applications, such as a wood shrinkage analysis and an AlSiC alloy under thermal load. Graphical abstractDisplay Omitted HighlightsWe calculate a Tracking Uncertainty in order to find correlated features.The Event Explorer shows a global overview of events and feature properties.The Fuzzy Tracking Graph is used to track features through all time-steps.The Volume Player shows control elements to traverse the steps of a dataset series.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1054,
            1170,
            613,
            166,
            611
        ],
        "journal": "Computers and Graphics",
        "number": "PB",
        "pages_from": "177",
        "pages_to": "184",
        "volume": "53",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2852897",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Red_Andreas_2015_FFT/",
        "__class": "Publication"
    },
    {
        "id": "MEINDL-2015-OSR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Omnidirectional Stereo Rendering of Virtual Environments",
        "date": "2015-11-12",
        "abstract": "In this thesis we discuss the use of omnidirectional stereo (omnistereo) rendering of virtual\nenvironments. We present an artefact-free technique to render omnistereo images for\nthe CAVE in real time using the modern rendering pipeline and GPU-based tessellation.\nDepth perception in stereoscopic images is enabled through the horizontal disparities\nseen by the left and right eye. Conventional stereoscopic rendering, using off-axis\nor toe-in projections, provides correct depth cues in the entire field of view (FOV) for\na single view-direction. Omnistereo panorama images, created from captures of the real\nworld, provide stereo depth cues in all view direction. This concept has been adopted for\nrendering, as several techniques generating omnistereo images based on virtual environments\nhave been presented. This is especially relevant in the context of surround-screen\ndisplays, as stereo depth can be provided for all view directions in a 360° panorama\nsimultaneously for upright positioned viewers. Omnistereo rendering also lifts the need\nfor view-direction tracking, since the projection is independent of the view direction,\nunlike stereoscopic projections. However, omnistereo images only provide correct depth\ncues in the center of the FOV. Stereo disparity distortion errors occur in the periphery\nof the view and worsen with distance from the center of the view. Nevertheless, due\nto a number of properties of the human visual system, these errors are not necessarily\nnoticeable.\nWe improved the existing object-warp based omnistereo rendering technique for\nCAVE display systems by preceding it with screen-space adaptive tessellation methods.\nOur improved technique creates images without perceivable artefacts and runs on\nthe GPU at real-time frame rates. The artefacts produced by the original technique\nwithout tessellation are described by us. Tessellation is used to remedy edge curvature\nand texture interpolation artefacts occurring at large polygons, due to the non-linearity\nof the omnistereo perspective. The original approach is based on off-axis projections.\nWe showed that on-axis projections can be used as basis as well, leading to identical\nimages. In addition, we created a technique to efficiently render omnistereo skyboxes\nfor the CAVE using a pre-tessellated full-screen mesh. We implemented the techniques\nas part of an application for a three-walled CAVE in the VRVis research center and\ncompared them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 556,
            "image_height": 351,
            "name": "MEINDL-2015-OSR-image.jpg",
            "type": "image/jpeg",
            "size": 33180,
            "path": "Publication:MEINDL-2015-OSR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1564
        ],
        "date_end": "2015-11-12",
        "date_start": "2014-02-28",
        "diploma_examina": "2015-11-12",
        "matrikelnr": "1028160",
        "supervisor": [
            193,
            204
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "virtual reality",
            "stereo rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 556,
                "image_height": 351,
                "name": "MEINDL-2015-OSR-image.jpg",
                "type": "image/jpeg",
                "size": 33180,
                "path": "Publication:MEINDL-2015-OSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MEINDL-2015-OSR-thesis.pdf",
                "type": "application/pdf",
                "size": 2386209,
                "path": "Publication:MEINDL-2015-OSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/MEINDL-2015-OSR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MEINDL-2015-OSR/",
        "__class": "Publication"
    },
    {
        "id": "wallner-2015-InfoTheoryPlay",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Applying Information Theory to Formal Models of Play",
        "date": "2015-11-09",
        "abstract": "This thesis proposes a formal model of interaction in games, to be used as tool for game analysis and game testing. The model allows a quantification of interaction by looking at the low-level structure and patterns in game-controller input. The game-controller input is modelled using discrete-time, discrete-space Markov chains, and information theory is used to quantify the mismatch between the model’s prediction and the actual user input.\n\nThe model uses game-agnostic game controller data as its input, which is the lowest common denominator for a large class of games (almost all game console games, most PC games). The models are trained dynamically on-the-fly for each individual play session. This allows performing individual analyses of players’ interactions, while still retaining an approach that is very general and can be used with different games without modification.\n\nTo adapt to new play situations quickly, the used models are only based on data from the last couple of seconds or minutes. This can lead to the problem that not enough samples may be available to confidently estimate all dynamic model parameters. This problem is mitigated by considering the full probability distribution of each parameter instead, using a beta distribution.\n\nThis work contributes to the understanding of interaction in games, modelling of raw user input and quantifying the model output using information theory. The described approach has been implemented in software and preliminary results from a prestudy are available.\n\nIn this exploratory prestudy, the post hoc analysis of nine different games from various genres revealed a number of interaction patterns. One of the observed patterns is routinization, a process in which an action is performed repeatedly until it is executed almost unconsciously. Research in this field, based on this thesis, has been performed in cooperation with Martin Pichlmair from the IT University Copenhagen, and a workin-progress paper is to be published in the proceedings of the ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY) [Wallner, S., Pichlmair, M., Hecher, M., and Wimmer, M. (2015). Modeling Routinization in Games - An Information Theory Approach. In Proceedings of the Second ACM SIGCHI Annual Symposium on Computer-human Interaction in Play, page pp, London, UK. ACM.]\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1021,
            "image_height": 667,
            "name": "wallner-2015-InfoTheoryPlay-image.jpg",
            "type": "image/jpeg",
            "size": 162507,
            "path": "Publication:wallner-2015-InfoTheoryPlay",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            745
        ],
        "date_end": "2015-11-09",
        "date_start": "2014-01-31",
        "diploma_examina": "2015-11-09",
        "matrikelnr": "0625104",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "formal models of play",
            "user input visualization",
            "understanding interaction in games",
            "gameplay",
            "information theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1021,
                "image_height": 667,
                "name": "wallner-2015-InfoTheoryPlay-image.jpg",
                "type": "image/jpeg",
                "size": 162507,
                "path": "Publication:wallner-2015-InfoTheoryPlay",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-image:thumb{{size}}.png"
            },
            {
                "description": "Master Thesis Poster",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 413,
                "preview_image_height": 495,
                "name": "wallner-2015-InfoTheoryPlay-Poster.pdf",
                "type": "application/pdf",
                "size": 2074912,
                "path": "Publication:wallner-2015-InfoTheoryPlay",
                "preview_name": "wallner-2015-InfoTheoryPlay-Poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 183540,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Poster:thumb{{size}}.png"
            },
            {
                "description": "Master Thesis PDF",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 563,
                "preview_image_height": 411,
                "name": "wallner-2015-InfoTheoryPlay-Thesis.pdf",
                "type": "application/pdf",
                "size": 37109172,
                "path": "Publication:wallner-2015-InfoTheoryPlay",
                "preview_name": "wallner-2015-InfoTheoryPlay-Thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 196010,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/wallner-2015-InfoTheoryPlay-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-InfoTheoryPlay/",
        "__class": "Publication"
    },
    {
        "id": "sakai-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": "2015-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1129
        ],
        "date_start": "2015-11",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sakai-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Diehl_2015",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Albero: A Visual Analytics Tool for Probabilistic Weather Forecasting.",
        "date": "2015-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1121,
            1396,
            235,
            1122,
            741,
            166,
            161
        ],
        "date_from": "2015-11",
        "date_to": "2015-11",
        "event": "Poster at Workshop Big Data & Environment",
        "location": "University of Buenos Aires",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Diehl_2015/",
        "__class": "Publication"
    },
    {
        "id": "Klein_Tobias_2015TIV",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards Interactive Visual Exploration of Parallel Programs using a Domain-specific Language",
        "date": "2015-11",
        "abstract": "The utilization of GPUs and the massively parallel computing paradigm have become increasingly prominent in many research domains. Recent developments of platforms, such as\nOpenCL and CUDA, enable the usage of heterogeneous parallel computing in a wide-spread field. However, the efficient utilization of parallel hardware requires profound knowledge of\nparallel programming and the hardware itself.\n\nOur approach presents a domain-specific language that facilitates fast prototyping of parallel programs, and a visual explorer which reveals their execution behavior. With the aid\nof our visualizations, interactions with the hardware become visible, supporting the comprehensibility\nof the program and its utilization of the hardware components. Furthermore, we\naggregate behavior that leads to common issues in parallel programming and present it in a clearly structured view to the user.\n\nWe augment the standard methods for debugging and profiling by a visual approach that enables a more problem-specific, fine-grained way of analyzing parallel code. Our framework parses all program code and user-specified annotations in order to enable automatic, yet configurable code instrumentation. The resulting recordings are directly linked to interactive visualizations created with the well-known D3 (data-driven documents) framework.\n\nTo demonstrate our approach, we present two case studies about the visual analysis of memory bank conflicts and branch divergence. They investigate different parallel reduction\nimplementations and a common image processing example (all from the NVIDIA OpenCL SDK). We show that our visualizations provide immediate visual insight in the execution behavior of the program and that the performance influence of the implementations is directly reflected visually.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1114,
            "image_height": 443,
            "name": "Klein_Tobias_2015TIV-Image.jpg",
            "type": "image/jpeg",
            "size": 40401,
            "path": "Publication:Klein_Tobias_2015TIV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285
        ],
        "matrikelnr": "1129861",
        "supervisor": [
            166,
            488
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1114,
                "image_height": 443,
                "name": "Klein_Tobias_2015TIV-Image.jpg",
                "type": "image/jpeg",
                "size": 40401,
                "path": "Publication:Klein_Tobias_2015TIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Klein_Tobias_2015TIV-Poster.pdf",
                "type": "application/pdf",
                "size": 520222,
                "path": "Publication:Klein_Tobias_2015TIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Klein_Tobias_2015TIV-Thesis.pdf",
                "type": "application/pdf",
                "size": 4404334,
                "path": "Publication:Klein_Tobias_2015TIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/Klein_Tobias_2015TIV-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Klein_Tobias_2015TIV/",
        "__class": "Publication"
    },
    {
        "id": "krakhofer-2015",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Summarization of Image Sets",
        "date": "2015-11",
        "abstract": "The aim of this bachelor thesis was to find different approaches to solve the following problem: A set of images is divided into different groups in a way that every image belongs to exactly one group. The user defines which image belongs to which group. The images should be positioned into a grid of a user-defined size, so that they can be recognised as clusters easily. To do so, it must be guaranteed, that every image has at least one neighbour image regarding the manhatten distance which belongs to the same group. Also there must not be any gaps, or clusters which split into several parts. Multiple algorithms which are able to solve this task are to be found and analysed. There are many approaches whose goal is to create an image summarisation out of a set of images. But these approaches place the images in a way that the groups are shaped by the algorithm itself. Yet there is no method published, which lets the user define the involved groups and their associated set of images. This thesis meets this requirements and offers different solutions for this task.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 198,
            "image_height": 205,
            "name": "krakhofer-2015-teaser.png",
            "type": "image/png",
            "size": 122226,
            "path": "Publication:krakhofer-2015",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1247
        ],
        "date_end": "2015-11-01",
        "date_start": "2015-05-01",
        "matrikelnr": "1126297",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 198,
                "image_height": 205,
                "name": "krakhofer-2015-teaser.png",
                "type": "image/png",
                "size": 122226,
                "path": "Publication:krakhofer-2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-teaser:thumb{{size}}.png"
            },
            {
                "description": "the final bachelor thesis",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 547,
                "preview_image_height": 614,
                "name": "krakhofer-2015-thesis.pdf",
                "type": "application/pdf",
                "size": 27759442,
                "path": "Publication:krakhofer-2015",
                "preview_name": "krakhofer-2015-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 1009882,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/krakhofer-2015-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/krakhofer-2015/",
        "__class": "Publication"
    },
    {
        "id": "Martinez-2015-TTB",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Taming the beast: Free and open-source massive point cloud web visualization",
        "date": "2015-11",
        "abstract": "Powered by WebGL, some renderers have recently become available for the visualization of point cloud data over the web, for example Plasio or Potree. We have extended Potree to be able to visualize massive point clouds and we have successfully used it with the second national Lidar survey of the Netherlands, AHN2, with 640 billion points. In addition to the visualization, the publicly available service at ttp://ahn2.pointclouds.nl/ also features a multi-resolution download tool, a geographic name search bar, a measurement toolkit, a 2D orientation map with field of view depiction, a demo mode and the tuning of the visualization parameters. Potree relies on reorganizing the point cloud data into an multi-resolution octree data structure. However, this reorganization is very time consuming for massive data sets. Hence, we have used a divide and conquer approach to decrease the octree creation time. To achieve such performance improvement we divided the entire space into smaller cells, generated an octree for each of them in a distributed manner and then we merged them into a single massive octree. The merging is possible because the extent of all the nodes of the octrees is known and fixed. All the developed tools are free and open-source (FOSS) and they can be used to visualize over the web other massive point clouds.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5356,
            5357,
            5358,
            1116,
            5359,
            5360,
            5361
        ],
        "booktitle": "Capturing Reality Forum",
        "date_from": "2015",
        "date_to": "2015",
        "event": "Capturing Reality Forum",
        "lecturer": [
            5356
        ],
        "pages_from": "1",
        "pages_to": "1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1050,
                "image_height": 589,
                "name": "Martinez-2015-TTB-image.jpg",
                "type": "image/jpeg",
                "size": 96671,
                "path": "Publication:Martinez-2015-TTB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Martinez-2015-TTB-paper.pdf",
                "type": "application/pdf",
                "size": 11189274,
                "path": "Publication:Martinez-2015-TTB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/Martinez-2015-TTB-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Martinez-2015-TTB/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2015-taxintec",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizations",
        "date": "2015-10",
        "abstract": "Research on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial information, thereby spanning both visualization domains. Traditional classification schemes do not support a formal description of these integrated systems. The contribution of this paper is a taxonomy that describes a holistic design space for integrating components of spatial and abstract visualizations. We structure a visualization into three components: Data, Visual, and Navigation. These components can be linked to build integrated visualizations. Our taxonomy provides an alternative view on the field of visualization in a time where the border between scientific and information visualization becomes blurred.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 541,
            "image_height": 393,
            "name": "sorger-2015-taxintec-teaser.png",
            "type": "image/png",
            "size": 23806,
            "path": "Publication:sorger-2015-taxintec",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            1277,
            451,
            205,
            166
        ],
        "booktitle": "20th International Symposium on Vision, Modeling and Visualization (VMV 2015)",
        "date_from": "2015-10-07",
        "date_to": "2015-10-10",
        "editor": "David Bommes and Tobias Ritschel and Thomas Schultz",
        "issn": "0302-9743",
        "lecturer": [
            1072
        ],
        "location": "Aachen, Germany",
        "publisher": "The Eurographics Association",
        "series": "Springer Lecture Notes in Computer Science (LNCS) series",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2015-taxintec-paper.pdf",
                "type": "application/pdf",
                "size": 456732,
                "path": "Publication:sorger-2015-taxintec",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 541,
                "image_height": 393,
                "name": "sorger-2015-taxintec-teaser.png",
                "type": "image/png",
                "size": 23806,
                "path": "Publication:sorger-2015-taxintec",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/sorger-2015-taxintec-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/",
        "__class": "Publication"
    },
    {
        "id": "Labschuetz_Matthias_2015_JIT",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure",
        "date": "2015-10",
        "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation and visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as the memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which locally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in many applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to overcome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual advantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to other sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and a combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data structure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of memory usage when compared to non-hybrid data structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840,
            161,
            166,
            226,
            488
        ],
        "date_from": "2015-10-25",
        "date_to": "2015-10-30",
        "event": "IEEE SciVis 2015",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            840
        ],
        "location": "Chicago, IL, USA",
        "note": "Published in January 2016",
        "number": "1",
        "pages_from": "1025",
        "pages_to": "1034",
        "volume": "22",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Labschuetz_Matthias_2015_JIT/",
        "__class": "Publication"
    },
    {
        "id": "Labschuetz_Matthias_2016_JIT",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "JiTTree: A Just-in-Time Compiled Sparse GPU Volume Data Structure",
        "date": "2015-10",
        "abstract": "Sparse volume data structures enable the efficient representation of large but sparse volumes in GPU memory for computation\r\nand visualization. However, the choice of a specific data structure for a given data set depends on several factors, such as\r\nthe memory budget, the sparsity of the data, and data access patterns. In general, there is no single optimal sparse data structure,\r\nbut a set of several candidates with individual strengths and drawbacks. One solution to this problem are hybrid data structures which\r\nlocally adapt themselves to the sparsity. However, they typically suffer from increased traversal overhead which limits their utility in\r\nmany applications. This paper presents JiTTree, a novel sparse hybrid volume data structure that uses just-in-time compilation to\r\novercome these problems. By combining multiple sparse data structures and reducing traversal overhead we leverage their individual\r\nadvantages. We demonstrate that hybrid data structures adapt well to a large range of data sets. They are especially superior to\r\nother sparse data structures for data sets that locally vary in sparsity. Possible optimization criteria are memory, performance and\r\na combination thereof. Through just-in-time (JIT) compilation, JiTTree reduces the traversal overhead of the resulting optimal data\r\nstructure. As a result, our hybrid volume data structure enables efficient computations on the GPU, while being superior in terms of\r\nmemory usage when compared to non-hybrid data structures.",
        "authors_et_al": false,
        "substitute": "Labschuetz_Matthias_2016_JITT",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840,
            161,
            166,
            226,
            488
        ],
        "date_from": "2015-10-25",
        "date_to": "2015-10-30",
        "event": "IEEE SciVis 2015",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            840
        ],
        "location": "Chicago, IL, USA",
        "note": "Published in January 2016",
        "number": "1",
        "pages_from": "1025",
        "pages_to": "1034",
        "volume": "22",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2015.2467331",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Labschuetz_Matthias_2016_JIT/",
        "__class": "Publication"
    },
    {
        "id": "Pfahler_David_2015_IPI",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "In-Place Interaction in Dashboards",
        "date": "2015-10",
        "abstract": "Interaction techniques for information visualization systems require control elements to interact with the data. These elements consume visual space and this is one of the major limiting factors of a visual analytics dashboard. This work introduces interaction methods to control the visualizations of a dashboard without the need of additional visual space. These in-place control elements give the dashboard designer the possibility\r\nto design more compact dashboards, while maintaining the same functionality without using space filling controls. This is achieved by hovering areas in the visualizations which opens controls or triggers events.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Pfahler_David_2015_IPI-Thesis.pdf",
            "type": "application/pdf",
            "size": 3610056,
            "path": "Publication:Pfahler_David_2015_IPI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1283
        ],
        "matrikelnr": "1126287",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pfahler_David_2015_IPI-Thesis.pdf",
                "type": "application/pdf",
                "size": 3610056,
                "path": "Publication:Pfahler_David_2015_IPI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/Pfahler_David_2015_IPI-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Pfahler_David_2015_IPI/",
        "__class": "Publication"
    },
    {
        "id": "Ganuza_2015",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Semi-Automatic Categorization for Spinel Group Minerals",
        "date": "2015-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1233,
            1229,
            408,
            1232,
            166,
            235
        ],
        "date_from": "2015-10",
        "date_to": "2015-10",
        "editor": "IEEE",
        "event": "IEEE VIS 2015 ",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_2015/",
        "__class": "Publication"
    },
    {
        "id": "Ganuza_ML_2015_ISA",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Semi-Automatic Categorization for Spinel Group Minerals",
        "date": "2015-10",
        "abstract": "Spinel group minerals are excellent indicators of geological environments (tectonic settings). In 2001, Barnes and Roeder defined a set of contours corresponding to compositional fields for spinel group minerals. Geologists typically use this contours to estimate the tectonic environment where a particular spinel composition could have been formed. This task is prone to errors and requires tedious manual comparison of overlapping diagrams. We introduce a semi-automatic, interactive detection of tectonic settings for an arbitrary dataset based on the Barnes and Roeder contours. The new approach integrates the mentioned contours and includes a novel interaction called contour brush. The new methodology is integrated in the Spinel Explorer system and it improves the scientist's workflow significantly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1233,
            1229,
            408,
            1232,
            166,
            235
        ],
        "date_from": "2015-10-25",
        "date_to": "2015-10-30",
        "event": "2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)",
        "isbn": " 978-1-4673-9783-4",
        "location": "Chicago, IL, USA ",
        "pages_from": "197",
        "pages_to": "198",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_ML_2015_ISA/",
        "__class": "Publication"
    },
    {
        "id": "Fruehstueck_Anna_2015_DOM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Decoupling Object Manipulation from Rendering in a Thin Client Visualization System",
        "date": "2015-09",
        "abstract": "Often, users of visualization applications do not have access to high performance systems for the computationally demanding visualization tasks. Rendering the visualization remotely and using a thin client (e.g. a web browser) to display the result enable the users to access the\r\nvisualization even on devices that do not target graphics processing. However, the flexibility to manipulate the data set interactively suffers in thin-client configurations. This makes a\r\nmeaningful interaction with data sets that contain many different objects difficult. This is especially true in in-situ visualization scenarios, where direct interaction with the data can\r\nbe challenging.\r\n\r\nWe solve this problem by proposing an approach that employs a deferred visualization pipeline to divide the visualization computation between a server and a client. Our thin client\r\nis built on web technologies (HTML5, JavaScript) and is integrated with the D3 library to enable interactive data-driven visualizations. An intermediate representation of objects is introduced which describes the data that is transferred from the server to the client on request.  The server side carries out the computationally expensive parts of the pipeline while the client retains extensive flexibility by performing object modification tasks without requiring a\r\nre-rendering of the data.\r\n\r\nWe introduce a novel Volume Object Model as an intermediate representation for deferred visualization. This model consists of metadata and pre-rendered visualizations of each object\r\nin a data set.\r\n\r\nIn order to guarantee client-side interactivity even on large data sets, the client only receives the metadata of all objects for a pre-visualization step. By allowing the user to\r\nperform filtering using the metadata alone, the complexity of the requested visualization data can be reduced from the client side before streaming any image data. Only when the user is\r\nsatisfied, the object images are requested from the server. In combination with the metadata,\r\nthe final visualization can then be reconstructed from the individual images. Moreover, all objects in the visualization can be investigated and changed programmatically by the user\r\nvia an integrated console.\r\n\r\nIn summary, our system allows for fully interactive object-related visualization tasks in a web browser without triggering an expensive re-rendering on the server.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1366,
            "image_height": 1123,
            "name": "Fruehstueck_Anna_2015_DOM-image.jpg",
            "type": "image/jpeg",
            "size": 276431,
            "path": "Publication:Fruehstueck_Anna_2015_DOM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1075
        ],
        "supervisor": [
            166,
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1366,
                "image_height": 1123,
                "name": "Fruehstueck_Anna_2015_DOM-image.jpg",
                "type": "image/jpeg",
                "size": 276431,
                "path": "Publication:Fruehstueck_Anna_2015_DOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fruehstueck_Anna_2015_DOM-Poster.pdf",
                "type": "application/pdf",
                "size": 3937888,
                "path": "Publication:Fruehstueck_Anna_2015_DOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fruehstueck_Anna_2015_DOM-Thesis.pdf",
                "type": "application/pdf",
                "size": 8211733,
                "path": "Publication:Fruehstueck_Anna_2015_DOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/Fruehstueck_Anna_2015_DOM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Fruehstueck_Anna_2015_DOM/",
        "__class": "Publication"
    },
    {
        "id": "Gusenbauer_Matthias_2015_ANM",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Novel Mapping of Arbitrary Precision Integer Operations to the GPU",
        "date": "2015-09",
        "abstract": "With modern processing hardware converging on the physical barrier in terms of transistor size and speed per single core, hardware manufacturers have shifted their focus to improve\r\nperformance from raw clock power towards parallelization. Solutions to utilize the computation power of GPUs are published and supported by graphics card manufacturers.  While there exist solutions for arbitrary precision integer arithmetics on the CPU there\r\nhas been little adoption of these libraries to the GPU. This thesis presents an approach to map arbitrary precision integer operations to single threads on the GPU. This novel computation mapping technique is benchmarked and compared to a library that runs these computations on the CPU. Furthermore the novel parallelization technique is\r\ncompared to an alternative mapping scheme proposed by Langer et al [Lan15]. It is shown that mapping computations to single threads outperforms both the CPU and\r\nthe approach by Langer. This thesis also explored the feasibility of rational number operations on the GPU and shows that this is in fact practically usable by providing\r\nbenchmarks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1257
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gusenbauer_Matthias_2015_ANM-Thesis.pdf",
                "type": "application/pdf",
                "size": 806200,
                "path": "Publication:Gusenbauer_Matthias_2015_ANM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/Gusenbauer_Matthias_2015_ANM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/Gusenbauer_Matthias_2015_ANM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Gusenbauer_Matthias_2015_ANM/",
        "__class": "Publication"
    },
    {
        "id": "hafner-2015-eigf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling",
        "date": "2015-09",
        "abstract": "Given a target shape and a target frequency, we automatically synthesize shapes that exhibit this frequency as part of their natural spectrum while resembling the target shape as closely as possible. We propose three shape parametrization methods that afford meaningful degrees of freedom in the design of instruments such as marimbas and bells. The design space is based on the representation of a solid as the volume enclosed by an outer surface and an inner offset surface. In order to evaluate the natural frequency spectrum of a solid, we employ finite element modal analysis and evaluate the suitability of different element types. We propose a fabrication method for the production of optimized instruments by an amateur craftsperson using sand or rubber molds. The efficiency of our method is demonstrated by the production of a simple tin bell and a more complicated bell in the shape of a rabbit. We achieve agreement with the predicted pitch frequencies of 2.8% and 6% respectively. These physical results are supplemented by a number of computational results that explore the optimization of harmonic ratios and the influence of mesh resolution and mesh smoothness on the accuracy of the finite element model.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2110,
            "image_height": 1500,
            "name": "hafner-2015-eigf-image.png",
            "type": "image/png",
            "size": 1604255,
            "path": "Publication:hafner-2015-eigf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1090
        ],
        "date_end": "2015-09-21",
        "date_start": "2015-01-30",
        "matrikelnr": "0925172",
        "supervisor": [
            844,
            193
        ],
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "physically based modeling",
            "computer graphics",
            "digital fabrication",
            "3D shape optmization",
            "3D shape processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2110,
                "image_height": 1500,
                "name": "hafner-2015-eigf-image.png",
                "type": "image/png",
                "size": 1604255,
                "path": "Publication:hafner-2015-eigf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-image:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hafner-2015-eigf-poster.pdf",
                "type": "application/pdf",
                "size": 4484762,
                "path": "Publication:hafner-2015-eigf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/hafner-2015-eigf-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-eigf/",
        "__class": "Publication"
    },
    {
        "id": "Hirsch_Christian_2015_ABL",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Breast Lesion Examination of DCE-MRI Data Based on Fourier Analysis",
        "date": "2015-09",
        "abstract": "Breast cancer is the second most common cancer death among women in developed\r\ncountries. In less developed countries it has a mortality rate of about 25% rendering it the most common cancer death. It has been demonstrated that an early breast cancer diagnosis significantly reduces the mortality. In addition to mammography and breast\r\nultrasound, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is\r\nthe modality with the highest sensitivity for breast cancer detection. However, systems for automatic lesion analysis are scarce. This thesis proposes a method for lesion evaluation without the necessity of tumor segmentation. The observer has to define a Region Of Interest (ROI) covering the lesion in question and the proposed system performs an automated lesion inspection by computing its Fourier transform. Using the Fourier\r\ntransformed volume we compute the inertia tensor of its magnitude. Based on the gathered information, the Göttinger score, which is a common breast cancer analysis scheme, is computed and the features are presented in newly create plots. These plots\r\nare evaluated with a survey where radiologists participated. The Göttinger score assigns a numeric value for the following features: shape, boundary, Internal Enhancement\r\nCharacteristics (IEC), Initial Signal Increase (ISI) and Post Initial Signal (PIS). We tested our method on 22 breast tumors (14 malignant and 8 benign ones). Subsequently, we compared our results to the classification of an experienced radiologist. The automatic\r\nboundary classification has an accuracy of 0.818, the shape 0.773 and the IEC 0.886 compared to the radiologist’s results. An evaluation of the accuracy of the benign vs. malignant classification shows that the method has an accuracy of 0.682 for all\r\nthe Göttinger score features and 0.772 using only the shape, boundary and IEC. The evaluation of the plot shows that radiologist like the visual representation of the Göttinger\r\nscore for single lesions, they, however, refuse the plots where multiple lesions are presented\r\nin one visual representation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            978
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hirsch_Christian_2015_ABL-Poster.pdf",
                "type": "application/pdf",
                "size": 2546381,
                "path": "Publication:Hirsch_Christian_2015_ABL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hirsch_Christian_2015_ABL-Thesis.pdf",
                "type": "application/pdf",
                "size": 17808011,
                "path": "Publication:Hirsch_Christian_2015_ABL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/Hirsch_Christian_2015_ABL-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hirsch_Christian_2015_ABL/",
        "__class": "Publication"
    },
    {
        "id": "Kollmann-2015-DoF",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Depth of Field: Point Splatting on Per-Pixel Layers",
        "date": "2015-09",
        "abstract": "This bachelor’s thesis is about a depth of field rendering algorithm using point splatting on per-pixel layers. The intuitive procedure just uses specific adjustable parameters for the lens of a camera to generate the desired effect in real-time. Using nothing but the depth information of a scene, the depth of field can be computed.\r\nThe so called circles of confusion are the representing value of the blur rate for objects that are out of focus. Depending on the distance between the focal plane and the current pixel, an expansion takes place because of the redirecting nature of a lens. The following required information is retrieved using an intensity distribution function.\r\nTo avoid intensity leakage and provide a full opaque picture, the entire effect is done discrete on the screen space. This prevents subsampling and enables almost correct alpha value normalization.\r\nAs stated before, an intensity distribution function is required, but in a discrete form. This is an addition to the paper, where that function is preprocessed in the application and provided for the shader directly. A high resolution texture of the desired intensity distribution function is provided as input to a shader program that renders multiple discrete versions. Another further addition prepares the texture by normalization, consuming more memory, but saving lots of time during computation.\r\nThe last part of this paper includes a defocused highlights implementation, where a tone-mapping is applied to mimic them. In general, the luminance of a pixel is computed by a simple formula, summing up the three colors with adjustment factors. Depending on this value and some parameters, the color is adjusted where bright regions are enhanced to construct this effect.\r\nThis thesis implements and extends this work and is used to test its performance after seven years when it was published. Using different configurations for the effect, the provided stable framerates of the results are used as metric for benchmarking.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1026,
            "image_height": 568,
            "name": "Kollmann-2015-DoF-image.png",
            "type": "image/png",
            "size": 181249,
            "path": "Publication:Kollmann-2015-DoF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1212
        ],
        "date_end": "2015-09-15",
        "date_start": "2014-09-15",
        "matrikelnr": "1126633",
        "supervisor": [
            844,
            779,
            193
        ],
        "research_areas": [],
        "keywords": [
            "depth-of-field",
            "deferred rendering",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1026,
                "image_height": 568,
                "name": "Kollmann-2015-DoF-image.png",
                "type": "image/png",
                "size": 181249,
                "path": "Publication:Kollmann-2015-DoF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-image:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kollmann-2015-DoF-thesis.pdf",
                "type": "application/pdf",
                "size": 3004539,
                "path": "Publication:Kollmann-2015-DoF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/Kollmann-2015-DoF-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Kollmann-2015-DoF/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2015-HQP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Point Based Rendering Using Fast Single Pass Interpolation",
        "date": "2015-09",
        "abstract": "We present a method to improve the visual quality of point cloud renderings through a nearest-neighbor-like interpolation of points. This allows applications to render points at larger sizes in order to reduce holes, without reducing the readability of fine details due to occluding points. The implementation requires only few modifications to existing shaders, making it eligible to be integrated in software applications without major design changes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 1000,
            "name": "SCHUETZ-2015-HQP-image.png",
            "type": "image/png",
            "size": 1123770,
            "path": "Publication:SCHUETZ-2015-HQP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116,
            193
        ],
        "booktitle": "Proceedings of Digital Heritage 2015 Short Papers",
        "date_from": "2015-09-28",
        "date_to": "2015-10-02",
        "lecturer": [
            1116
        ],
        "location": "Granada, Spain",
        "pages_from": "369",
        "pages_to": "372",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHUETZ-2015-HQP-draft.pdf",
                "type": "application/pdf",
                "size": 1754449,
                "path": "Publication:SCHUETZ-2015-HQP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 1000,
                "name": "SCHUETZ-2015-HQP-image.png",
                "type": "image/png",
                "size": 1123770,
                "path": "Publication:SCHUETZ-2015-HQP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/SCHUETZ-2015-HQP-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHUETZ-2015-HQP/",
        "__class": "Publication"
    },
    {
        "id": "May_Michael_2015_DIS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Design and Implementation of a Shader Infrastructure and Abstraction Layer",
        "date": "2015-09",
        "abstract": "Programming the GPU is more important than ever, but the organization and development of shader code for the GPU is a difficult task. Can this process be embedded into the high level language C#, gain from the features of its toolchain and enrich shader development?\n\nFor this purpose this thesis describes the design and implementation of a framework to abstract and embed shader development into C# with an internal domain-specific language (iDSL\nfor short) as front-end and a plug-in system in the back-end to support expandable optimizations and different shader languages as targets.\n\nThe implemented framework fits shader development into the C# toolchain, supporting autocompletion, and type error checking in the editor. The system offers good modularity and\nencourages developing shaders in reusable parts.\n\nThis diploma thesis was developed in cooperation with VRVis Research Center in Vienna, Austria.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "May_Michael_2015_DIS-Image.jpg",
            "type": "image/jpeg",
            "size": 159969,
            "path": "Publication:May_Michael_2015_DIS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1038
        ],
        "supervisor": [
            193,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "May_Michael_2015_DIS-Image.jpg",
                "type": "image/jpeg",
                "size": 159969,
                "path": "Publication:May_Michael_2015_DIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "May_Michael_2015_DIS-Thesis.pdf",
                "type": "application/pdf",
                "size": 4847958,
                "path": "Publication:May_Michael_2015_DIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/May_Michael_2015_DIS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/May_Michael_2015_DIS/",
        "__class": "Publication"
    },
    {
        "id": "Miao_2015_VCBM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "CoWRadar: Visual Quantification of the Circle of Willis in Stroke Patients",
        "date": "2015-09",
        "abstract": "This paper presents a method for the visual quantification of cerebral arteries, known as the Circle of Willis (CoW).\nThe CoW is an arterial structure that is responsible for the brain’s blood supply. Dysfunctions of this arterial circle\ncan lead to strokes. The diagnosis relies on the radiologist’s expertise and the software tools used. These tools\nconsist of very basic display methods of the volumetric data without support of advanced technologies in medical\nimage processing and visualization. The goal of this paper is to create an automated method for the standardized\ndescription of cerebral arteries in stroke patients in order to provide an overview of the CoW’s configuration. This novel display provides visual indications of problematic areas as well as straightforward comparisons between\nmultiple patients. Additionally, we offer a pipeline for extracting the CoW from Time-of-Flight Magnetic Resonance\nAngiography (TOF-MRA) data sets. An enumeration technique for the labeling of the arterial segments is therefore\nsuggested. We also propose a method for detecting the CoW’s main supplying arteries by analyzing the coronal,\nsagittal and transverse image planes of the data sets. We evaluated the feasibility of our visual quantification\napproach in a study of 63 TOF-MRA data sets and compared our findings to those of three radiologists. The obtained results demonstrate that our proposed techniques are effective in detecting the arteries of the CoW.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 552,
            "image_height": 470,
            "name": "Miao_2015_VCBM-image.png",
            "type": "image/png",
            "size": 310337,
            "path": "Publication:Miao_2015_VCBM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263,
            869,
            1264,
            166
        ],
        "booktitle": "EG Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2015-09-14",
        "date_to": "2015-09-15",
        "editor": "Katja Bühler and Lars Linsen and Nigel W. John",
        "isbn": "978-3-905674-82-8",
        "issn": "2070-5786",
        "lecturer": [
            1263
        ],
        "location": "Chester, United Kingdom",
        "organization": "EG Digital Library",
        "pages_from": "1",
        "pages_to": "10",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "A short demonstration",
                "filetitle": "demo",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "Miao_2015_VCBM-demo.mp4",
                "type": "video/mp4",
                "size": 28569430,
                "path": "Publication:Miao_2015_VCBM",
                "preview_name": "Miao_2015_VCBM-demo:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 50335,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-demo:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 552,
                "image_height": 470,
                "name": "Miao_2015_VCBM-image.png",
                "type": "image/png",
                "size": 310337,
                "path": "Publication:Miao_2015_VCBM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Miao_2015_VCBM-paper.pdf",
                "type": "application/pdf",
                "size": 6127015,
                "path": "Publication:Miao_2015_VCBM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/Miao_2015_VCBM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_2015_VCBM/",
        "__class": "Publication"
    },
    {
        "id": "Purg2015-China",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Industrial Use of Mixed Reality in VRVis Projects",
        "date": "2015-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Purg2015-China-.pdf",
            "type": "application/pdf",
            "size": 397521,
            "path": "Publication:Purg2015-China",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            1262,
            202
        ],
        "booktitle": "Proceedings of VISIC",
        "date_from": "2015-09-07",
        "date_to": "2015-09-08",
        "lecturer": [
            1300
        ],
        "location": "Peking, China",
        "organization": "VR Kebao (Tianjin) Science & Technology Co., Ltd",
        "pages_from": "19",
        "pages_to": "23",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purg2015-China-.pdf",
                "type": "application/pdf",
                "size": 397521,
                "path": "Publication:Purg2015-China",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/Purg2015-China-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-China/",
        "__class": "Publication"
    },
    {
        "id": "cellVIEW_2015",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "cellVIEW: a Tool for Illustrative and Multi-Scale Rendering of Large Biomolecular Datasets",
        "date": "2015-09",
        "abstract": "In this article we introduce cellVIEW, a new system to interactively visualize large biomolecular datasets on the atomic level. Our tool is unique and has been specifically designed to match the ambitions of our domain experts to model and interactively visualize structures comprised of several billions atom. The cellVIEW system integrates acceleration techniques to allow for real-time graphics performance of 60 Hz display rate on datasets representing large viruses and bacterial organisms. Inspired by the work of scientific illustrators, we propose a level-of-detail scheme which purpose is two-fold: accelerating the rendering and reducing visual clutter. The main part of our datasets is made out of macromolecules, but it also comprises nucleic acids strands which are stored as sets of control points. For that specific case, we extend our rendering method to support the dynamic generation of DNA strands directly on the GPU. It is noteworthy that our tool has been directly implemented inside a game engine. We chose to rely on a third party engine to reduce software development work-load and to make bleeding-edge graphics techniques more accessible to the end-users. To our knowledge cellVIEW is the only suitable solution for interactive visualization of large bimolecular landscapes on the atomic level and is freely available to use and extend.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1264,
            "image_height": 796,
            "name": "cellVIEW_2015-.png",
            "type": "image/png",
            "size": 1483300,
            "path": "Publication:cellVIEW_2015",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            1260,
            1143,
            171
        ],
        "booktitle": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2015-09-14",
        "date_to": "2015-09-15",
        "editor": "Katja Bühler and Lars Linsen and Nigel W. John",
        "isbn": "978-3-905674-82-8",
        "issn": "2070-5786",
        "lecturer": [
            1189
        ],
        "location": "Chester, United Kingdom",
        "organization": "EG Digital Library",
        "pages_from": "61",
        "pages_to": "70",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1264,
                "image_height": 796,
                "name": "cellVIEW_2015-.png",
                "type": "image/png",
                "size": 1483300,
                "path": "Publication:cellVIEW_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-:thumb{{size}}.png"
            },
            {
                "description": "the paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cellVIEW_2015-paper.pdf",
                "type": "application/pdf",
                "size": 14485825,
                "path": "Publication:cellVIEW_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/cellVIEW_2015-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/cellVIEW_2015/",
        "__class": "Publication"
    },
    {
        "id": "spitaler-2015-pbi",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Generation of 3D Building-Interiors",
        "date": "2015-08-18",
        "abstract": "    Procedural systems are a great way to create a lot of geometric 3D content for various purposes, e.g., computer games or feature movies. They are usually based on formal grammars theory. Nowadays, a well known approach for the generation of virtual cities is the so-called 'CGA'-grammar (computer generated architecture). It was introduced a few years ago and is widely in use, however, its major drawback is the complexity and amount of code that has to be written to create good-looking results. To overcome this problem, a visual editor for the design of buildings is introduced in this thesis. It allows the user to define the aspects of a building in a top-down manner, including their interiors. Starting from the amount of floors, the user is able to define how rooms should be distributed including cross-floor relations, like staircases or elevators. Using 'generation-rules' the user is also able to add more details to the interior (e.g., furniture) and exterior (e.g. facades, plants, etc.). We demonstrate that our technique can create a great variety of visually appealing and realistic results.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 962,
            "image_height": 487,
            "name": "spitaler-2015-pbi-image.png",
            "type": "image/png",
            "size": 203792,
            "path": "Publication:spitaler-2015-pbi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            886
        ],
        "date_end": "2015-08-18",
        "date_start": "2014-01-30",
        "matrikelnr": "0226436",
        "open_access": "yes",
        "supervisor": [
            844,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural geometric modeling",
            "3D modeling",
            "geometric urban modeling",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 962,
                "image_height": 487,
                "name": "spitaler-2015-pbi-image.png",
                "type": "image/png",
                "size": 203792,
                "path": "Publication:spitaler-2015-pbi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-image:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spitaler-2015-pbi-poster.pdf",
                "type": "application/pdf",
                "size": 18068253,
                "path": "Publication:spitaler-2015-pbi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-poster:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spitaler-2015-pbi-thesis.pdf",
                "type": "application/pdf",
                "size": 12909432,
                "path": "Publication:spitaler-2015-pbi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/spitaler-2015-pbi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/spitaler-2015-pbi/",
        "__class": "Publication"
    },
    {
        "id": "Sippl_Sebastian_EFG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Framework for GPU-Assisted Generation and Composition of Inductive Rotation Patterns",
        "date": "2015-08",
        "abstract": "The Inductive Rotation Method, developed by the artist Hofstetter Kurt, is a strategy for generating elaborate artistic patterns by applying translations and rotations repeatedly\r\nto a copy of a so called prototile. The method has been inspired by aperiodic tilings such as the popular Penrose tilings. The Inductive Rotation Patterns and their nonperiodic structure is interesting from both a mathematical and from an artistic point of view. In the scope of a previous thesis different algorithms for the generation of such patterns were already implemented and researched which resulted in a program called the “Irrational Image Generator”. However, this software prototype provides only few features which support Hofstetter in designing patterns, and can only produce patterns with limited size. The limited size results from a property of the patterns: The number of tiles grows\r\nexponentially with each iteration.\r\n\r\nThe Inductive Rotation Framework, a software framework for the generation of Inductive Rotation Patterns, was developed in the course of this thesis and unites new generation algorithms with an extended tool-set, like a graphical prototile editor which supports Hofstetter in his pattern design process. One of the existing algorithms was successfully parallelized and now allows the artist pattern generation via GPGPU methods.  \r\n\r\nDepending on the implementation this can increase either pattern generation speed or the maximum pattern-size. In order to research the advantages and disadvantages of a recently developed\r\ntile substitution method for the creation of Inductive Rotation Patterns, the framework was extended by an algorithm which is based on this new discovery. Following the definition of the Inductive Rotation Method from Hofstetter, this tile-substitution method produces only a subset of Inductive Rotation Patterns.\r\n\r\nBy varying the definition of Hofstetter’s Inductive Rotation Method only slightly, the Sierpinski gasket, a fractal pattern, emerges. The similarity between the Inductive Rotation Method and fractals can be observed further by comparing the parallel generation algorithm’s matrix scheme to Iterated Function Systems (IFSs), which are used to generate\r\nfractals.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1157,
            "image_height": 766,
            "name": "Sippl_Sebastian_EFG-Image.jpg",
            "type": "image/jpeg",
            "size": 154205,
            "path": "Publication:Sippl_Sebastian_EFG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1211
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1157,
                "image_height": 766,
                "name": "Sippl_Sebastian_EFG-Image.jpg",
                "type": "image/jpeg",
                "size": 154205,
                "path": "Publication:Sippl_Sebastian_EFG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sippl_Sebastian_EFG-Poster.pdf",
                "type": "application/pdf",
                "size": 1798752,
                "path": "Publication:Sippl_Sebastian_EFG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sippl_Sebastian_EFG-Thesis.pdf",
                "type": "application/pdf",
                "size": 17874947,
                "path": "Publication:Sippl_Sebastian_EFG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/Sippl_Sebastian_EFG-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Sippl_Sebastian_EFG/",
        "__class": "Publication"
    },
    {
        "id": "Smisek_Michal_A3D",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis of 3D and 4D Images of Organisms in Embryogenesis",
        "date": "2015-08",
        "abstract": "In this work, we present a few modifications to the state-of-the-art algorithms, as well as several novel approaches, related to the detection of cells in biological image processing.\n\nWe start by explanation of a PDE-based image processing evolution called\nFBLSCD and study its properties. We then define a fully automatic way of finding the stop time for this evolution. Afterwards, we try to see the FBLSCD as a morphological grayscale erosion, and we formulate a novel cell detection algorithm, called LSOpen, as an intersection of PDE-based and morphological image processing\nschools.\n\nThen, we discuss the best ways of inspecting cell detection results, i.e. cell identifiers. We try to quantitatively benchmark various cell detection methods by the relative amount of false positives, false negatives and multiply-detected centers\nyielded. We will observe that comparing cell detection results in a binary fashion is insufficient, therefore we are going to utilize the concept of distance function.\n\nMotivated by this need for robust cell detection result comparison, we analyze\ncommonly-used methods for computing the distance function and afterwards we\nformulate a novel algorithm. This one has complexity O(n log2 n) and it yields Euclidean distance. In addition to that, we introduce a modification to this algorithm, enabling it to work also in maze-like, wall- and corner-containing, environments.\n\nThis modification relies on the line rasterization algorithm. We perform various experiments to study and compare distance function methods. Results illustrate the viability of newly-proposed method.\n\nFurther, a software for the comparing and inspecting cell detection results,\nSliceViewer, is specified, designed, implemented and tested.\n\nIn the end, quantitative experiments are discussed, validating the above-mentioned novelties.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 850,
            "image_height": 820,
            "name": "Smisek_Michal_A3D-Image.jpg",
            "type": "image/jpeg",
            "size": 103781,
            "path": "Publication:Smisek_Michal_A3D",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1183
        ],
        "co_supervisor": [
            1296
        ],
        "date_end": "2015-08-24",
        "date_start": "2011-09-01",
        "reviewer_1": [
            1312
        ],
        "reviewer_2": [
            1329
        ],
        "rigorosum": "2015-08-24",
        "supervisor": [
            1341
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 850,
                "image_height": 820,
                "name": "Smisek_Michal_A3D-Image.jpg",
                "type": "image/jpeg",
                "size": 103781,
                "path": "Publication:Smisek_Michal_A3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Smisek_Michal_A3D-Thesis.pdf",
                "type": "application/pdf",
                "size": 10255695,
                "path": "Publication:Smisek_Michal_A3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/Smisek_Michal_A3D-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Smisek_Michal_A3D/",
        "__class": "Publication"
    },
    {
        "id": "guerrero-2015-lsp",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Learning Shape Placements by Example",
        "date": "2015-08",
        "abstract": "We present a method to learn and propagate shape placements in 2D polygonal scenes from a few examples provided by a user. The placement of a shape is modeled as an oriented bounding box. Simple geometric relationships between this bounding box and nearby scene polygons define a feature set for the placement. The feature sets of all example placements are then used to learn a probabilistic model over all possible placements and scenes. With this model we can generate a new set of placements with similar geometric relationships in any given scene.\nWe introduce extensions that enable propagation and generation of shapes in 3D scenes, as well as the application of a learned modeling session to large scenes without additional user interaction. These concepts allow us to generate complex scenes with thousands of objects with relatively little user interaction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "repimage",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2500,
            "image_height": 1289,
            "name": "guerrero-2015-lsp-repimage.png",
            "type": "image/png",
            "size": 2193588,
            "path": "Publication:guerrero-2015-lsp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627,
            356,
            193,
            194
        ],
        "date_from": "2015-08-09",
        "date_to": "2015-08-13",
        "doi": "10.1145/2766933",
        "event": "ACM SIGGRAPH 2015",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            627
        ],
        "location": "Los Angeles, CA",
        "number": "4",
        "pages_from": "108:1",
        "pages_to": "108:13",
        "volume": "34",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "modeling by example",
            "complex model generation"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?doid=2809654.2766933",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "additional material",
                "filetitle": "additional_material",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "guerrero-2015-lsp-additional_material.pdf",
                "type": "application/pdf",
                "size": 35870826,
                "path": "Publication:guerrero-2015-lsp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-additional_material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-additional_material:thumb{{size}}.png"
            },
            {
                "description": "pre-print version of the paper in low resolution",
                "filetitle": "paper_lowres",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "guerrero-2015-lsp-paper_lowres.pdf",
                "type": "application/pdf",
                "size": 5200831,
                "path": "Publication:guerrero-2015-lsp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper_lowres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper_lowres:thumb{{size}}.png"
            },
            {
                "description": "pre-print version of the paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "guerrero-2015-lsp-paper.pdf",
                "type": "application/pdf",
                "size": 11902561,
                "path": "Publication:guerrero-2015-lsp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "repimage",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2500,
                "image_height": 1289,
                "name": "guerrero-2015-lsp-repimage.png",
                "type": "image/png",
                "size": 2193588,
                "path": "Publication:guerrero-2015-lsp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-repimage:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "guerrero-2015-lsp-video.mp4",
                "type": "video/mp4",
                "size": 159172484,
                "path": "Publication:guerrero-2015-lsp",
                "preview_name": "guerrero-2015-lsp-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 52390,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/guerrero-2015-lsp-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/guerrero-2015-lsp/",
        "__class": "Publication"
    },
    {
        "id": "hafner-2015-onff",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling",
        "date": "2015-08",
        "abstract": "Given a target shape and a target frequency, we automatically synthesize a shape that exhibits this frequency as part of its natural spectrum, while resembling the target shape as closely as possible. We employ finite element modal analysis with thin-shell elements to accurately predict the acoustic behavior of 3d solids. Our optimization pipeline uses an input surface and automatically calculates an inner offset surface to describe a volumetric solid. The solid exhibits a sound with the desired pitch if fabricated from the targeted material. In order to validate our framework, we optimize the shape of a tin bell to exhibit a sound at 1760 Hz. We fabricate the bell by casting it from a mold and measure the frequency peaks in its natural ringing sound. The measured pitch agrees with our simulation to an accuracy of 2.5%. In contrast to previous method, we only use reference material parameters and require no manual tuning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1275,
            "image_height": 956,
            "name": "hafner-2015-onff-thumbnail.jpg",
            "type": "image/jpeg",
            "size": 699561,
            "path": "Publication:hafner-2015-onff",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1090,
            844,
            808,
            193,
            1243
        ],
        "booktitle": "Proceedings of ACM SIGGRAPH 2015 Posters",
        "date_from": "2015-08-09",
        "date_to": "2015-08-13",
        "event": "ACM SIGGRAPH 2015",
        "location": "Los Angeles, CA, USA",
        "note": "Lecturer: P. Musialski",
        "publisher": "ACM",
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "natural frequencies",
            "modal analysis",
            "shape optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "abstract",
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hafner-2015-onff-abstract.pdf",
                "type": "application/pdf",
                "size": 13785825,
                "path": "Publication:hafner-2015-onff",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-abstract:thumb{{size}}.png"
            },
            {
                "description": "eposter",
                "filetitle": "eposter",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hafner-2015-onff-eposter.pdf",
                "type": "application/pdf",
                "size": 2896869,
                "path": "Publication:hafner-2015-onff",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-eposter:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2110,
                "image_height": 1500,
                "name": "hafner-2015-onff-image.png",
                "type": "image/png",
                "size": 1604255,
                "path": "Publication:hafner-2015-onff",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-image:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1275,
                "image_height": 956,
                "name": "hafner-2015-onff-thumbnail.jpg",
                "type": "image/jpeg",
                "size": 699561,
                "path": "Publication:hafner-2015-onff",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-thumbnail:thumb{{size}}.png"
            },
            {
                "description": "video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "hafner-2015-onff-video.mp4",
                "type": "video/mp4",
                "size": 36476292,
                "path": "Publication:hafner-2015-onff",
                "preview_name": "hafner-2015-onff-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 57686,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/hafner-2015-onff-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/hafner-2015-onff/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2015-souos",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reduced-Order Shape Optimization Using Offset Surfaces",
        "date": "2015-08",
        "abstract": "Given the 2-manifold surface of a 3d object, we propose a novel method for the computation of an offset surface with varying thickness such that the solid volume between the surface and its offset satisfies a set of prescribed constraints and at the same time minimizes a given objective functional. Since the constraints as well as the objective functional can easily be adjusted to specific application requirements, our method provides a flexible and powerful tool for shape optimization. We use manifold harmonics to derive a reduced-order formulation of the optimization problem, which guarantees a smooth offset surface and speeds up the computation independently from the input mesh resolution without affecting the quality of the result. The constrained optimization problem can be solved in a numerically robust manner with commodity solvers. Furthermore, the method allows simultaneously optimizing an inner and an outer offset in order to increase the degrees of freedom. We demonstrate our method in a number of examples where we control the physical mass properties of rigid objects for the purpose of 3d printing. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 850,
            "image_height": 408,
            "name": "musialski-2015-souos-image.png",
            "type": "image/png",
            "size": 205544,
            "path": "Publication:musialski-2015-souos",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            808,
            836,
            193,
            1243
        ],
        "date_from": "2015-08-09",
        "date_to": "2015-08-13",
        "doi": "10.1145/2766955",
        "event": "ACM SIGGRAPH 2015",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics (ACM SIGGRAPH 2015)",
        "lecturer": [
            844
        ],
        "location": "Los Angeles, CA, USA",
        "number": "4",
        "pages_from": "102:1",
        "pages_to": "102:9",
        "volume": "34",
        "research_areas": [
            "Fabrication"
        ],
        "keywords": [
            "reduced-order models",
            "shape optimization",
            "computational geometry",
            "geometry processing",
            "physical mass properties"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2766955",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": {
            "0": {
                "description": "additional",
                "filetitle": "additional",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-souos-additional.pdf",
                "type": "application/pdf",
                "size": 171083,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-additional:thumb{{size}}.png"
            },
            "1": {
                "description": "code",
                "filetitle": "code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-souos-code.zip",
                "type": "application/zip",
                "size": 285821,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-code.zip",
                "thumb_image_sizes": []
            },
            "2": {
                "description": "data",
                "filetitle": "data",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-souos-data.zip",
                "type": "application/zip",
                "size": 12042896,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-data.zip",
                "thumb_image_sizes": []
            },
            "3": {
                "description": "fastforward",
                "filetitle": "fastforward",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "musialski-2015-souos-fastforward.mp4",
                "type": "video/mp4",
                "size": 42829984,
                "path": "Publication:musialski-2015-souos",
                "preview_name": "musialski-2015-souos-fastforward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 33204,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-fastforward:video.mp4"
            },
            "4": {
                "description": "image",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 850,
                "image_height": 408,
                "name": "musialski-2015-souos-image.png",
                "type": "image/png",
                "size": 205544,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-image:thumb{{size}}.png"
            },
            "5": {
                "description": "preprint",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-souos-preprint.pdf",
                "type": "application/pdf",
                "size": 10130972,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-preprint:thumb{{size}}.png"
            },
            "6": {
                "description": "slides_pdf",
                "filetitle": "slides_pdf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-souos-slides_pdf.pdf",
                "type": "application/pdf",
                "size": 4213999,
                "path": "Publication:musialski-2015-souos",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-slides_pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-slides_pdf:thumb{{size}}.png"
            },
            "8": {
                "description": "video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "musialski-2015-souos-video.mp4",
                "type": "video/mp4",
                "size": 45896041,
                "path": "Publication:musialski-2015-souos",
                "preview_name": "musialski-2015-souos-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 46819,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/musialski-2015-souos-video:video.mp4"
            }
        },
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-souos/",
        "__class": "Publication"
    },
    {
        "id": "Mistelbauer_Gabriel_2015_NHR",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "New hybrid reformations of peripheral CT angiography: do we still need axial images?",
        "date": "2015-07",
        "abstract": "Purpose\r\n\r\nTo quantify the detectability of peripheral artery stenosis on hybrid CT angiography (CTA) reformations.\r\nMethods\r\n\r\nHybrid reformations were developed by combining multipath curved planar reformations (mpCPR) and maximum intensity projections (MIP). Fifty peripheral CTAs were evaluated twice: either with MIP, mpCPR and axial images or with hybrid reformations only. Digital subtraction angiography served as gold standard.\r\nResults\r\n\r\nUsing hybrid reformations, two independent readers detected 88.0% and 81.3% of significant stenosis, respectively. However, CTA including axial images detected statistically significant more lesions (98%).\r\nConclusion\r\n\r\nPeripheral CTA reading including axial images is still recommended. Further improvement of these hybrid reformations is necessary.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1047,
            1287,
            869,
            1288,
            170,
            166,
            1289
        ],
        "journal": "Clinic Imaging",
        "number": "4",
        "pages_from": "603",
        "pages_to": "607",
        "volume": "39",
        "research_areas": [],
        "keywords": [
            "Peripheral arterial occlusive disease;",
            "CT angiography;",
            "Three-dimensional reformations;",
            "Postprocessing"
        ],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0899707115000662",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Mistelbauer_Gabriel_2015_NHR/",
        "__class": "Publication"
    },
    {
        "id": "Plank_Pascal_2015_HVP",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Human Visual Perception of 3D Surfaces",
        "date": "2015-06",
        "abstract": "The gauge figure task is a methodological tool to study an observer’s perception of surface\r\norientations in renderings and visualization techniques. Originally developed to probe the perception of paintings, i. e. not veridical stimuli, the gauge figure task has since been\r\nused to measure absolute perceptual errors by comparing an observer’s surface estimates with the ground truth surface normals.\r\n\r\nIn this bachelor thesis the accuracy of the gauge figure task was investigated, i. e. how well the probed surface estimates align with the perceived surface normals on an absolute\r\nscale. To isolate the probing error a user study was carried out using different primitive objects and several depth cues, including depth-from-motion and stereo disparities, to minimize potential perceptual errors. It was expected that a stereoscopic presentation of the gauge figure would reduce the perceptual error of the gauge figure dramatically.\r\n\r\nDuring the experiments I collected about 16.300 probes from 17 participants under different viewing conditions where either the stimuli, the gauge figure, both or none of\r\nthem were presented in stereo.\r\nThe results show that the gauge figure estimates for primitive stimuli, e. g. a sphere or a cylinder, align well with the ground truth in modality-consistent conditions, i. e. where stimuli and gauge figure were both presented in stereo or both in mono. In contrast\r\nto this, a gauge figure presented in stereo to probe monoscopic stimuli resulted in an enormous slant underestimation. In addition, in the inverse case, where the gauge figure\r\nis presented in mono and the stimuli in stereo, an overestimation occurred - even for simple stimulus objects.\r\nThis bachelor thesis covers the general background and previous work for this subject, the design, setup and procedure of the user study as well as the results and a qualitative assessment. Furthermore, two alternative explanations for the found results are discussed and an outlook for possible future work is given.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Plank_Pascal_2015_HVP-.pdf",
            "type": "application/pdf",
            "size": 7108377,
            "path": "Publication:Plank_Pascal_2015_HVP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1293
        ],
        "matrikelnr": "1225804",
        "supervisor": [
            660,
            1339,
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Plank_Pascal_2015_HVP-.pdf",
                "type": "application/pdf",
                "size": 7108377,
                "path": "Publication:Plank_Pascal_2015_HVP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/Plank_Pascal_2015_HVP-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Plank_Pascal_2015_HVP/",
        "__class": "Publication"
    },
    {
        "id": "Jimenez_SSS_2015",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Separable Subsurface Scattering",
        "date": "2015-06",
        "abstract": "In this paper we propose two real-time models for simulating subsurface scattering for a large variety of translucent materials, which need under 0.5 milliseconds per frame to execute. This makes them a practical option for real-time production scenarios. Current state-of-the-art, real-time approaches simulate subsurface light transport by approximating the radially symmetric non-separable diffusion kernel with a sum of separable Gaussians, which requires multiple (up to twelve) 1D convolutions. In this work we relax the requirement of radial symmetry to approximate a 2D diffuse reflectance profile by a single separable kernel. We first show that low-rank approximations based on matrix factorization outperform previous approaches, but they still need several passes to get good results. To solve this, we present two different separable models: the first one yields a high-quality diffusion simulation, while the second one offers an attractive trade-off between physical accuracy and artistic control. Both allow rendering subsurface scattering using only two 1D convolutions, reducing both execution time and memory consumption, while delivering results comparable to techniques with higher cost. Using our importance-sampling and jittering strategies, only seven samples per pixel are required. Our methods can be implemented as simple post-processing steps without intrusive changes to existing rendering pipelines.\n\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1381,
            "image_height": 731,
            "name": "Jimenez_SSS_2015-teaser.png",
            "type": "image/png",
            "size": 1415449,
            "path": "Publication:Jimenez_SSS_2015",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1236,
            1073,
            1237,
            1128,
            808,
            1238,
            1239,
            193,
            1240
        ],
        "date_from": "2015-06-23",
        "date_to": "2015-06-26",
        "event": "Eurographics Symposium on Rendering (EGSR)",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1128
        ],
        "location": "Darmstadt",
        "number": "6",
        "pages_from": "188",
        "pages_to": "197",
        "volume": "34",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "separable",
            "realtime rendering",
            "subsurface scattering",
            "filtering"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12529/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "EGSR 2015 talk slides.",
                "filetitle": "egsr2015talk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jimenez_SSS_2015-egsr2015talk.pptx",
                "type": "application/zip",
                "size": 37107902,
                "path": "Publication:Jimenez_SSS_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-egsr2015talk.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jimenez_SSS_2015-paper.pdf",
                "type": "application/pdf",
                "size": 28716442,
                "path": "Publication:Jimenez_SSS_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-paper:thumb{{size}}.png"
            },
            {
                "description": "Additional explanations and results of the method.",
                "filetitle": "supplementary1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jimenez_SSS_2015-supplementary1.pdf",
                "type": "application/pdf",
                "size": 27600680,
                "path": "Publication:Jimenez_SSS_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary1:thumb{{size}}.png"
            },
            {
                "description": "Kernel plots.",
                "filetitle": "supplementary2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jimenez_SSS_2015-supplementary2.pdf",
                "type": "application/pdf",
                "size": 4903341,
                "path": "Publication:Jimenez_SSS_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-supplementary2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1381,
                "image_height": 731,
                "name": "Jimenez_SSS_2015-teaser.png",
                "type": "image/png",
                "size": 1415449,
                "path": "Publication:Jimenez_SSS_2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/Jimenez_SSS_2015-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Jimenez_SSS_2015/",
        "__class": "Publication"
    },
    {
        "id": "fleiss-2015-da",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Exploration of  Architecture Using Exploded Views",
        "date": "2015-06",
        "abstract": "The master thesis at hand addresses automated generated explosion views as a tool of visualization and how they can be applied to illustrate architecture. I investigate existing solutions of the generation and the related theoretical foundation of explosion views, assembling process, architecture and visualization. Then I extract useful concepts from the foundation research to deduce design principles. The major part of the work is the designing and implementation of a visualization system that empowers the user to interactively explore and understand an architectural building. I hereby examine to what extend explosion views can be applied to do so. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1143,
            "image_height": 879,
            "name": "fleiss-2015-da-image.png",
            "type": "image/png",
            "size": 776363,
            "path": "Publication:fleiss-2015-da",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1173
        ],
        "date_end": "2014",
        "date_start": "2013-11-13",
        "diploma_examina": "2015-06-03",
        "matrikelnr": "0527038",
        "supervisor": [
            844,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "exploded views",
            "architecture visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1143,
                "image_height": 879,
                "name": "fleiss-2015-da-image.png",
                "type": "image/png",
                "size": 776363,
                "path": "Publication:fleiss-2015-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-image:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fleiss-2015-da-poster.pdf",
                "type": "application/pdf",
                "size": 4312130,
                "path": "Publication:fleiss-2015-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-poster:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "fleiss-2015-da-thesis.pdf",
                "type": "application/pdf",
                "size": 20878578,
                "path": "Publication:fleiss-2015-da",
                "preview_name": "fleiss-2015-da-thesis:preview.png",
                "preview_type": "application/x-empty",
                "preview_size": 0,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/fleiss-2015-da-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/fleiss-2015-da/",
        "__class": "Publication"
    },
    {
        "id": "Cornel_Daniel_2015_VOC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Object-Centered Vulnerability to Possible Flood Hazards",
        "date": "2015-06",
        "abstract": "As flood events tend to happen more frequently, there is a growing demand for understanding the vulnerability of infrastructure to flood-related hazards. Such demand exists both for flood management personnel and the general public. Modern software tools are capable of generating uncertainty-aware flood predictions. However, the information addressing individual objects is incomplete, scattered, and hard to extract. In this paper, we address vulnerability to flood-related hazards focusing on a specific building. Our approach is based on the automatic extraction of relevant information from a large collection of pre-simulated flooding events, called a scenario pool. From this pool, we generate uncertainty-aware visualizations conveying the vulnerability of the building of interest to different kinds of flooding events. On the one hand, we display the adverse effects of the disaster on a detailed level, ranging from damage inflicted on the building facades or cellars to the accessibility of the important infrastructure in the vicinity. On the other hand, we provide visual indications of the events to which the building of interest is vulnerable in particular. Our visual encodings are displayed in the context of urban 3D renderings to establish an intuitive relation between geospatial and abstract information. We combine all the visualizations in a lightweight interface that enables the user to study the impacts and vulnerabilities of interest and explore the scenarios of choice. We evaluate our solution with experts involved in flood management and public communication.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877,
            1205,
            1058,
            1207,
            166,
            798
        ],
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "event": "Euro Vis 2015",
        "issn": "1467-8659 (Online ISSN)",
        "journal": "Computer Graphic Forum",
        "lecturer": [
            877
        ],
        "location": "Cagliari, Sardinia, Italy",
        "note": "3rd Best Paper Award",
        "number": "3",
        "pages_from": "331",
        "pages_to": "340",
        "volume": "34",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/wol1/doi/10.1111/cgf.12645/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Cornel_Daniel_2015_VOC/",
        "__class": "Publication"
    },
    {
        "id": "Vad_Viktor_2015_RVV",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reproducibility, Verification, and Validation of Experiments on the Marschner-Lobb Test Signal",
        "date": "2015-05-25",
        "abstract": "The Marschner-Lobb (ML) test signal has been used for two decades to evaluate the visual quality of different volumetric reconstruction schemes. Previously, the reproduction of these experiments was very simple, as the ML signal was used to evaluate only compact filters applied on the traditional Cartesian lattice. As the Cartesian lattice is separable, it is easy to implement these filters as separable tensor-product extensions of well-known 1D filter kernels. Recently, however, non-separable reconstruction filters have received increased attention that are much more difficult to implement than the traditional tensor-product filters. Even if these are piecewise polynomial filters, the space partitions of the polynomial pieces are geometrically rather complicated. Therefore, the reproduction of the ML experiments is getting more and more difficult. Recently, we reproduced a previously published ML experiment for comparing Cartesian Cubic (CC), Body-Centered Cubic (BCC), and Face-Centered Cubic (FCC) lattices in terms of prealiasing. We recognized that the previously applied settings were biased and gave an undue advantage to the FCC-sampled ML representation. This result clearly shows that reproducibility, verification, and validation of the ML experiments is of crucial importance as the ML signal is the most frequently used benchmark for demonstrating the superiority of a reconstruction scheme or volume representations on non-Cartesian lattices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1195,
            233,
            488,
            166
        ],
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "event": "EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)",
        "journal": "@inproceedings {eurorv3.20151140",
        "lecturer": [
            1195
        ],
        "location": "Cagliari, Sardinia, Italy",
        "pages_from": "1",
        "pages_to": "3",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://diglib.eg.org/handle/10.2312/eurorv3.20151140.001-003",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Vad_Viktor_2015_RVV/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2015_MCT",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "MoleCollar and Tunnel Heat Map Visualizations for Conveying Spatio-Temporo-Chemical Properties Across and Along Protein Voids",
        "date": "2015-05",
        "abstract": "Studying the characteristics of proteins and their inner void space, including their geometry, physico-chemical properties and dynamics are instrumental for evaluating the reactivity of the protein with other small molecules. The analysis of long simulations of molecular dynamics produces a large number of voids which have to be further explored and evaluated. In this paper we propose three new methods: two of them convey important properties along the long axis of a selected void during molecular dynamics and one provides a comprehensive picture across the void. The first two proposed methods use a specific heat map to present two types of information: an overview of all detected tunnels in the dynamics and their bottleneck width and stability over time, and an overview of a specific tunnel in the dynamics showing the bottleneck position and changes of the tunnel length over time. These methods help to select a small subset of tunnels, which are explored individually and in detail. For this stage we propose the third method, which shows in one static image the temporal evolvement of the shape of the most critical tunnel part, i.e., its bottleneck. This view is enriched with abstract depictions of different physicochemical properties of the amino acids surrounding the bottleneck. The usefulness of our newly proposed methods is demonstrated on a case study and the feedback from the domain experts is included. The biochemists confirmed that our novel methods help to convey the information about the appearance and properties of tunnels in a very intuitive and comprehensible manner.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 868,
            "image_height": 1004,
            "name": "Viola_Ivan_2015_MCT-Image.bmp",
            "type": "image/x-ms-bmp",
            "size": 2614470,
            "path": "Publication:Viola_Ivan_2015_MCT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1254,
            1255,
            166,
            171,
            1248
        ],
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "event": "Eurographics Conference on Visualization (EuroVis) (2015)",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1254
        ],
        "location": "Cagliari, Italy",
        "note": "EuroVis 2015 - Conference Proceedings",
        "number": "34",
        "pages_from": "1",
        "pages_to": "10",
        "volume": "3",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://diglib.eg.org/handle/10.1111/cgf12612",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 868,
                "image_height": 1004,
                "name": "Viola_Ivan_2015_MCT-Image.bmp",
                "type": "image/x-ms-bmp",
                "size": 2614470,
                "path": "Publication:Viola_Ivan_2015_MCT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2015_MCT-Paper.pdf",
                "type": "application/pdf",
                "size": 6895037,
                "path": "Publication:Viola_Ivan_2015_MCT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/Viola_Ivan_2015_MCT-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_MCT/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2015_VBS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Biomolecular Structures: State of the Art",
        "date": "2015-05",
        "abstract": "Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large, and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail, and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The report concludes with an outlook on promising and important research topics to enable further success in advancing the knowledge about interaction of molecular structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1199,
            "image_height": 897,
            "name": "Viola_Ivan_2015_VBS-Image.bmp",
            "type": "image/x-ms-bmp",
            "size": 3229254,
            "path": "Publication:Viola_Ivan_2015_VBS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1248,
            1249,
            1250,
            1251,
            1252,
            1253,
            171,
            1143,
            1026
        ],
        "booktitle": "Eurographics Conference on Visualization (EuroVis) - STARs",
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "editor": "R. Borgo and F. Ganovelli and I. Viola",
        "event": "Eurographics Conference on Visualization (EuroVis) (2015)",
        "lecturer": [
            1248
        ],
        "location": "Cagliari, Italy",
        "pages_from": "061",
        "pages_to": "081",
        "publisher": "The Eurographics Association",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://diglib.eg.org/handle/10.2312/eurovisstar.20151112.061-081",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1199,
                "image_height": 897,
                "name": "Viola_Ivan_2015_VBS-Image.bmp",
                "type": "image/x-ms-bmp",
                "size": 3229254,
                "path": "Publication:Viola_Ivan_2015_VBS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2015_VBS-Paper.pdf",
                "type": "application/pdf",
                "size": 693345,
                "path": "Publication:Viola_Ivan_2015_VBS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/Viola_Ivan_2015_VBS-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Viola_Ivan_2015_VBS/",
        "__class": "Publication"
    },
    {
        "id": "Bruckner_Stefan_2015_VAS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting",
        "date": "2015-05",
        "abstract": "Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For\nthis reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical\nWeather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization\nof geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a\nvisualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose,\nwe provide an interactive visualization interface that guides users from simple visual overviews to more advanced\nvisualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an\nintegrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram.\nTwo key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The\nlatter provides novel functionality that allows users to specify and search for meaningful patterns in the data.\nThe visual interface of our solution allows users to detect both possible weather trends and errors in the weather\nforecast model.We illustrate the usage of our solution with a series of case studies that were designed and validated\nin collaboration with domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1121,
            166,
            161
        ],
        "booktitle": "Computer Graphic Forum",
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "lecturer": [
            161
        ],
        "location": "Cagliari, Sardinia, Italy",
        "pages_from": "381",
        "pages_to": "390",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner_Stefan_2015_VAS-Paper.pdf",
                "type": "application/pdf",
                "size": 2391385,
                "path": "Publication:Bruckner_Stefan_2015_VAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/Bruckner_Stefan_2015_VAS-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic_Kresimir_2015_",
        "type_id": "habilthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/8001",
        "title": "Interactive Visual Analysis of Multi-Parameter Scientific Data",
        "date": "2015-05",
        "abstract": "Increasing complexity and a large number of control parameters make the design and understanding of modern engineering systems impossible without simulation.  Advances in simulation technology and the ability to run multiple simulations with different sets of parameters pose new challenges for analysis techniques. The resulting\ndata is often heterogeneous. A single data point does not contain scalars or\nvectors only, as usual. Instead, a single data point contains scalars, time series, and other types of mappings. Such a data model is common in many domains. Interactive visual analysis utilizes a tight feedback loop of computation/visualization and user interaction to facilitate knowledge discovery in complex datasets.\n\nOur research extends the visual analysis technology to challenging heterogeneous data, in particular to a combination of multivariate data and more complex data types, such as functions, for example. Furthermore, we focus on developing a structured model for interactive visual analysis which supports a synergetic combination\nof user interaction and computational analysis.\n\nThe concept of height surfaces and function graphs is a proven and well developed mechanism for the analysis of a single mapping. The state of the art when a set of such mappings is analyzed suggested a use of different descriptors or aggregates in the analysis. Our research makes it possible to analyze a whole set of mappings (function graphs, or height surfaces, for example) while keeping the original data.  We advance the interactive visual analysis to cope with complex scientific data.  Most of the analysis techniques consider the data as a static source. Such an\napproach often hinders the analysis. We introduce a concept of interactive visual steering for simulation ensembles. We link the data generation and data exploration and analysis tasks in a single workflow. This makes it possible to tune and optimize complex systems having high dimensional parameter space and complex outputs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235
        ],
        "date_end": "2014",
        "date_start": "2005",
        "doi": "10.34726/hss.2016.40602",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Habilitation Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Matkovic_Kresimir_2015_-Habilitation Thesis.pdf",
                "type": "application/pdf",
                "size": 24142604,
                "path": "Publication:Matkovic_Kresimir_2015_",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/Matkovic_Kresimir_2015_-Habilitation Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/Matkovic_Kresimir_2015_-Habilitation Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Matkovic_Kresimir_2015_/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2015-CHCRT",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "CHC+RT: Coherent Hierarchical Culling for Ray Tracing",
        "date": "2015-05",
        "abstract": "We propose a new technique for in-core and out-of-core GPU ray tracing using a generalization of hierarchical occlusion culling in the style of the CHC++ method. Our method exploits the rasterization pipeline and hardware occlusion queries in order to create coherent batches of work for localized shader-based ray tracing kernels. By combining hierarchies in both ray space and object space, the method is able to share intermediate traversal results among multiple rays. We exploit temporal coherence among similar ray sets between frames and also within the given frame. A suitable management of the current visibility state makes it possible to benefit from occlusion culling for less coherent ray types like diffuse reflections. Since large scenes are still a challenge for modern GPU ray tracers, our method is most useful for scenes with medium to high complexity, especially since our method inherently supports ray tracing highly complex scenes that do not fit in GPU memory. For in-core scenes our method is comparable to CUDA ray tracing and performs up to 5.94 × better than pure shader-based ray tracing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2598,
            "image_height": 1732,
            "name": "MATTAUSCH-2015-CHCRT-teaser.jpg",
            "type": "image/jpeg",
            "size": 3169435,
            "path": "Publication:MATTAUSCH-2015-CHCRT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            198,
            1280,
            1281,
            193,
            1184
        ],
        "date_from": "2015-05-04",
        "date_to": "2015-05-08",
        "event": "Eurographics",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            326
        ],
        "location": "Zurich, Switzerland",
        "number": "2",
        "pages_from": "537",
        "pages_to": "548",
        "volume": "34",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion culling",
            "ray tracing"
        ],
        "weblinks": [
            {
                "href": "10.1111/cgf.12582",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2015-CHCRT-draft.pdf",
                "type": "application/pdf",
                "size": 26172214,
                "path": "Publication:MATTAUSCH-2015-CHCRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2598,
                "image_height": 1732,
                "name": "MATTAUSCH-2015-CHCRT-teaser.jpg",
                "type": "image/jpeg",
                "size": 3169435,
                "path": "Publication:MATTAUSCH-2015-CHCRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/MATTAUSCH-2015-CHCRT-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/MATTAUSCH-2015-CHCRT/",
        "__class": "Publication"
    },
    {
        "id": "Hochmayr_Manuel_2015_PSE",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parameter Settings Exploration in Visualisation by Using a Semi-automatic Process",
        "date": "2015-05",
        "abstract": "Parameters and the process of setting them play a major role in the world of computer based visualisation, no matter whether it is a visualisation of information or of volume data.  Finding suitable parameter values can take up most of the time in the visualisation process and users have to sensibly adjust a large number of parameters. Finding a useful parameter value\r\ndistribution for achieving the desired visualisation result can be a cumbersome process which also depends on the user’s speed and experience. The purpose of this master’s thesis is to find a new and faster way to reach an appropriate parameter value distribution resulting in the desired\r\nvisualisation.\r\n\r\nFor this master’s thesis a prototype is developed which guides the user through a semi-automatic process of adjusting parameter values, which finally results in the desired visualisation of a scientific volume. Using this prototype enables the users to explore a large number of different parameter values within only a few iterations steps and a short amount of time. In order to do\r\nso we move away from the classic approach of setting parameters by adjusting sliders or combo boxes.\r\n\r\nThe idea of this thesis is to combine concepts that were already used in volume visualisation into a prototype. Our main strategy is to present  pre-rendered images of the volume with different parameter values to the users. The images that are closest to the target visualisation can be selected and new images, similar to these, are shown. After some iterations of this process the users should have reached a visualisation that meets their expectations. The basis of our\r\napproach is a spreadsheet user interface.\r\n\r\nFurther we make use of the concept of high-level parameters, which are a combination of lowlevel parameters, like the specular exponent, to one single parameter, like contrast. The advantage of this concept is to have parameters which are more understandable to the users. We move\r\naway from the concept of displaying every single image in the spreadsheet interface, having multiple pages. Instead we use kMeans++ or DBScan with an automatic method to choose the\r\ndistance parameter ? to cluster the images by similarity. This results in only the cluster centres, which are images, being presented to the user in the spreadsheet interface for exploration. Additionally, Locally Linear Embedding (LLE) is used to map single images into a global coordinate\r\nsystem. As a second new approach we use the distance between the images within the coordinate system as a similarity measure for kMeans++ and DBScan. To provide a fast calculation of the\r\nLocally Linear Embedding, which includes the nearest neighbours, the distance matrix and the Eigenvalues of the images, we use CUDA. The selection process consists of two different steps:\r\nexploration and refinement. Depending on the cluster size of the selected image, a re-clustering of the sub cluster is done if the user has reached the end of the cluster due to having explored all images and not achieving the desired final image. Thus a new set with varied parameter values is\r\ncreated and used to render new images. In contrast to the initially created set, the newly created one takes into account the explored parameter values from the images chosen by the user. This\r\nmeans that the range - in which the values of the single parameters are varied - is limited by the minimum and maximum value the parameter received during the before made exploration. Our\r\ntests showed that that by combining all these techniques it is possible to explore many different parameter values for high-level parameters in a very short time, and to achieve visualisations equal to those created by setting parameter values manually. In a short test our approach enabled\r\ntwo users, who are rather inexperienced in the field of volume visualisation, to create similar visualisations in fewer steps than by setting parameter values manually.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 167,
            "name": "Hochmayr_Manuel_2015_PSE-.png",
            "type": "image/png",
            "size": 22443,
            "path": "Publication:Hochmayr_Manuel_2015_PSE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            815
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 167,
                "name": "Hochmayr_Manuel_2015_PSE-.png",
                "type": "image/png",
                "size": 22443,
                "path": "Publication:Hochmayr_Manuel_2015_PSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hochmayr_Manuel_2015_PSE-Poster.pdf",
                "type": "application/pdf",
                "size": 2561132,
                "path": "Publication:Hochmayr_Manuel_2015_PSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hochmayr_Manuel_2015_PSE-Thesis.pdf",
                "type": "application/pdf",
                "size": 11462142,
                "path": "Publication:Hochmayr_Manuel_2015_PSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/Hochmayr_Manuel_2015_PSE-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Hochmayr_Manuel_2015_PSE/",
        "__class": "Publication"
    },
    {
        "id": "Ilcik_2015_LAY",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Layer-Based Procedural Design of Facades",
        "date": "2015-05",
        "abstract": "We present a novel procedural framework for interactively modeling building façades. Common procedural approaches, such as shape grammars, assume that building façades are organized in a tree structure, while in practice this is often not the case. Consequently, the complexity of their layout description becomes unmanageable for interactive editing. In contrast, we obtain a façade by composing multiple overlapping layers, where each layer contains a single rectilinear grid of façade elements described by two simple generator patterns. This way, the design process becomes more intuitive and the editing effort for complex layouts is significantly reduced. To achieve this, we present a method for the automated merging of different layers in the form of a mixed discrete and continuous optimization problem. Finally, we provide several modeling examples and a comparison to shape grammars in order to highlight the advantages of our method when designing realistic building façades. You can find the paper video at https://vimeo.com/118400233 .",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Decomposition of a facade into layers.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 5180,
            "image_height": 2069,
            "name": "Ilcik_2015_LAY-teaser.jpg",
            "type": "image/jpeg",
            "size": 1158754,
            "path": "Publication:Ilcik_2015_LAY",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            844,
            808,
            193
        ],
        "date_from": "2015-05-04",
        "date_to": "2015-05-08",
        "event": "Eurographics",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1303
        ],
        "location": "Zürich",
        "number": "2",
        "pages_from": "205",
        "pages_to": "216",
        "volume": "34",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12553/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Draft of the paper",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ilcik_2015_LAY-preprint.pdf",
                "type": "application/pdf",
                "size": 45680231,
                "path": "Publication:Ilcik_2015_LAY",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-preprint:thumb{{size}}.png"
            },
            {
                "description": "Supplementary material with further details",
                "filetitle": "Supplementary",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ilcik_2015_LAY-Supplementary.pdf",
                "type": "application/pdf",
                "size": 14337292,
                "path": "Publication:Ilcik_2015_LAY",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-Supplementary:thumb{{size}}.png"
            },
            {
                "description": "Decomposition of a facade into layers.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 5180,
                "image_height": 2069,
                "name": "Ilcik_2015_LAY-teaser.jpg",
                "type": "image/jpeg",
                "size": 1158754,
                "path": "Publication:Ilcik_2015_LAY",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/Ilcik_2015_LAY-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ilcik_2015_LAY/",
        "__class": "Publication"
    },
    {
        "id": "karimov-2015-HD",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Guided Volume Editing based on Histogram Dissimilarity",
        "date": "2015-05",
        "abstract": "Segmentation of volumetric data is an important part of many analysis pipelines, but frequently requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest. Our method is based on a novel histogram dissimilarity measure between individual regions, derived from structural information extracted from the initial segmentation. Based on this information, our interactive system guides the user towards potential defects, provides integrated tools for their inspection, and automatically generates suggestions for their resolution. We demonstrate that our approach can reduce interaction effort and supports the user in a comprehensive investigation for high-quality segmentations.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "picture",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 869,
            "image_height": 726,
            "name": "karimov-2015-HD-picture.PNG",
            "type": "image/png",
            "size": 462098,
            "path": "Publication:karimov-2015-HD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            925,
            869,
            808,
            161
        ],
        "date_from": "2015-05-25",
        "date_to": "2015-05-29",
        "event": "Eurographics Conference on Visualization (EuroVis)",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            925
        ],
        "location": "Cagliary, Italy",
        "number": "3",
        "pages_from": "91",
        "pages_to": "100",
        "volume": "34",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Edge and feature detection",
            "Image Processing and Computer Vision",
            "Computer Graphics",
            "Display algorithms",
            "Picture/Image Generation",
            "Segmentation",
            "Methodology and Techniques",
            "Interaction techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2015-HD-paper.pdf",
                "type": "application/pdf",
                "size": 11473038,
                "path": "Publication:karimov-2015-HD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "picture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 869,
                "image_height": 726,
                "name": "karimov-2015-HD-picture.PNG",
                "type": "image/png",
                "size": 462098,
                "path": "Publication:karimov-2015-HD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-picture:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2015-HD-presentation.pptx",
                "type": "application/zip",
                "size": 114199115,
                "path": "Publication:karimov-2015-HD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "supplementary part 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2015-HD-supplementary part 1.pdf",
                "type": "application/pdf",
                "size": 816263,
                "path": "Publication:karimov-2015-HD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-supplementary part 1.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-supplementary part 1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "supplementary part 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2015-HD-supplementary part 2.pdf",
                "type": "application/pdf",
                "size": 20711943,
                "path": "Publication:karimov-2015-HD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-supplementary part 2.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-supplementary part 2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 822,
                "preview_image_height": 720,
                "name": "karimov-2015-HD-video.mp4",
                "type": "video/mp4",
                "size": 43392567,
                "path": "Publication:karimov-2015-HD",
                "preview_name": "karimov-2015-HD-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41466,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/karimov-2015-HD-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/karimov-2015-HD/",
        "__class": "Publication"
    },
    {
        "id": "Froehler_Berhnard_2015_ESM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multimodal Visualization and Analysis of Spectral and XCT Data",
        "date": "2015-04-09",
        "abstract": "An increasing number of industrial applications demand a comprehensive analysis of both structural and chemical composition. Typically, non-destructive testing techniques focus on either structural or chemical characterization but do not deliver both. 3D X-Ray Computed Tomography (XCT) scans are well-suited for determining the internal and external structure of an object at high resolution. The attenuation value it delivers can however be the same or very similar for different materials. For a detailed chemical analysis XCT is therefore combined with spectral characterization techniques such as K-Edge Absorptiometry or X-ray Fluorescence Spectroscopy. In this paper, we are extending a previously introduced framework for visualization and analysis of specimens scanned with these two modalities in multiple ways: For better understanding the dependencies between the spectral energy levels, we propose Spectral Similarity Maps. Spectral Functional Boxplots visualize the statistical distribution of the spectral data. The Spectrum Explor-er improves the analysis of specimens of unknown composition. We demonstrate the usefulness of our techniques on several use cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1191,
            817,
            613,
            166,
            611
        ],
        "date_from": "2015-04-08",
        "date_to": "2015-04-09",
        "event": " 9. Forschungsforum der Österreichischen Fachhochschulen ",
        "issn": "2411-5428",
        "journal": "Computer Graphic Forum",
        "lecturer": [
            1191
        ],
        "location": "FH OÖ Campus Hagenberg",
        "note": "appeared in June 2014",
        "number": "3",
        "pages_from": "91",
        "pages_to": "100",
        "volume": "33",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2771505",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Froehler_Berhnard_2015_ESM/",
        "__class": "Publication"
    },
    {
        "id": "FREUDE-2015-phd",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "unknown",
        "date": "2015-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1128
        ],
        "date_start": "2015-04",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/FREUDE-2015-phd/",
        "__class": "Publication"
    },
    {
        "id": "Ganuza_MJ_2015_AVe",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Análisis visual en Geología",
        "date": "2015-04",
        "abstract": "Los geólogos usualmente trabajan con rocas que tienen edades oscilando entre pocos a miles de millones de años. Uno de los objetivos es tratar de reconstruir los ambientes geológicos donde se formaron las rocas y la sucesión de eventos que las afectaron desde su formación a fin de comprender la evolución geológica de la Tierra, identificar regiones donde se localizan depósitos minerales de interés económico, recursos de combustibles, etc. Para alcanzar estos objetivos, recolectan información y muestras de rocas y minerales en el campo, En particular estos últimos son analizados en laboratorio con instrumentos para obtener datos geoquímicos de minerales, como por ejemplo de los que conforman el grupo del espinelo. Dada la gran cantidad de datos generados, los científicos se ven obligados a analizar grandes volúmenes de información para arribar a conclusiones basadas en datos objetivos. El flujo del trabajo de análisis de los geólogos incluye el uso tedioso de varias herramientas y métodos manuales relativamente complejos y propensos a errores para comparar diferentes gráficos y tablas. Para mejorarlo, los integrantes de este proyecto desarrollaron un framework de análisis visual de datos geológicos. Una realimentación muy positiva de los expertos del dominio sobre éste y el gran potencial de mejoramiento motiva esta línea de trabajo.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1229,
            1233,
            1231,
            235,
            1232,
            166
        ],
        "date_from": "2015-04-16",
        "date_to": "2015-04-17",
        "event": "Workshop de Investigadores en Ciencias de la Computación (WICC 2015)",
        "location": "Salta, Argentina",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": " Red de Universidades con Carreras en Informática (RedUNCI)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ganuza_MJ_2015_AVe-Paper.pdf",
                "type": "application/pdf",
                "size": 1324794,
                "path": "Publication:Ganuza_MJ_2015_AVe",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/Ganuza_MJ_2015_AVe-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/Ganuza_MJ_2015_AVe-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_MJ_2015_AVe/",
        "__class": "Publication"
    },
    {
        "id": "ROEGNER-2015-IBR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-based Reprojection Using a Non-local Means Algorithm",
        "date": "2015-04",
        "abstract": "We introduce an image-based approach to increase the framerate of image sequences generated with offline rendering algorithms. Our method handles in most cases reflections and refractions better than existing image-based temporal coherence techniques. The proposed technique is also more accurate than some image-based upsampling methods, because it calculates an individual result for each pixel.\n\nOur proposed algorithm takes a pair of frames and generates motion vectors for each pixel. This allows for adding a new frame between that pair and thus increasing the framerate. To find the motion vectors, we utilize the non-local means denoising algorithm, which determines the similarity of two pixels by their surrounding and reinterpret that similarity as the likelihood of movement from one pixel to the other. This is similar to what it is done in video encoding to reduce file size, but in our case is done for each pixel individually instead of a block-wise approach, making our technique more accurate. Our method also improves on work in the field of real-time rendering. Such techniques use motion vectors, which are generated through knowledge about the movement of objects within the scene. This can lead to problems when the optical flow in an image sequence is not coherent with the objects movement. Our method avoids those problems. Furthermore, previous work has shown, that the non-local means algorithm can be optimized for parallel execution, which signicantly reduces the time to execute our proposed technique as well.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 958,
            "image_height": 539,
            "name": "ROEGNER-2015-IBR-image.jpg",
            "type": "image/jpeg",
            "size": 40656,
            "path": "Publication:ROEGNER-2015-IBR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            875,
            193,
            1244,
            1245
        ],
        "number": "TR-186-2-15-02",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "optical flow",
            "offline rendering",
            "image reprojection",
            "temporal upsampling",
            "image-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 958,
                "image_height": 539,
                "name": "ROEGNER-2015-IBR-image.jpg",
                "type": "image/jpeg",
                "size": 40656,
                "path": "Publication:ROEGNER-2015-IBR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "techreport",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ROEGNER-2015-IBR-techreport.pdf",
                "type": "application/pdf",
                "size": 8962492,
                "path": "Publication:ROEGNER-2015-IBR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-techreport.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/ROEGNER-2015-IBR-techreport:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/ROEGNER-2015-IBR/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic_2015_timelapse",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Timelapse: A Technique for Illustrative Visualization of Particle Simulations on the Mesoscale Level",
        "date": "2015-04",
        "abstract": "Animated movies are a popular way to communicate complex phenomena\nin cell biology to the broad audience. Animation artists\napply sophisticated illustration techniques to communicate a story,\nwhile trying to maintain a realistic representation of a complex dynamic\nenvironment. Since such hand-crafted animations are timeconsuming\nand cost-intensive to create, our goal is to formalize\nillustration techniques used by artists to facilitate the automatic\ncreation of visualizations generated from mesoscale particle-based\nmolecular simulations. Our technique Illustrative Timelapse supports\nvisual exploration of complex biochemical processes in dynamic\nenvironments by (1) seamless temporal zooming to observe\nphenomena in different temporal resolutions, (2) visual abstraction\nof molecular trajectories to ensure that observers are able to visually\nfollow the main actors, (3) increased visual focus on events of interest,\nand (4) lens effects to preserve a realistic representation of the\nenvironment in the context. Results from a first user study indicate\nthat visual abstraction of trajectories improves the ability to follow\na story and is also appreciated by users. Lens effects increased the\nperceived amount of molecular motion in the environment while\ntrading off traceability of individual molecules.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "screenshot",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1804,
            "image_height": 810,
            "name": "lemuzic_2015_timelapse-screenshot.jpg",
            "type": "image/jpeg",
            "size": 238322,
            "path": "Publication:lemuzic_2015_timelapse",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            1110,
            1143,
            171
        ],
        "booktitle": "Visualization Symposium (PacificVis), 2015 IEEE Pacific",
        "date_from": "2015-04-14",
        "date_to": "2015-04-17",
        "lecturer": [
            1189
        ],
        "location": "Zijingang Campus, Zhejiang University, Hangzhou, China",
        "organization": "8th IEEE Pacific Visualization Symposium (PacificVis 2015)",
        "pages_from": "247",
        "pages_to": "254",
        "publisher": "IEEE",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "the paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lemuzic_2015_timelapse-paper.pdf",
                "type": "application/pdf",
                "size": 1414681,
                "path": "Publication:lemuzic_2015_timelapse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "screenshot",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1804,
                "image_height": 810,
                "name": "lemuzic_2015_timelapse-screenshot.jpg",
                "type": "image/jpeg",
                "size": 238322,
                "path": "Publication:lemuzic_2015_timelapse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/lemuzic_2015_timelapse-screenshot:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic_2015_timelapse/",
        "__class": "Publication"
    },
    {
        "id": "Miao_Haichao_2015_VQC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Quantification of the Circle of Willis in Stroke Patients",
        "date": "2015-04",
        "abstract": "This thesis presents a novel method for the visual quantification of cerebral arteries. The Circle of Willis (CoW) is an arterial structure that is responsible for the brain’s blood supply. Dysfunctions of this arterial circle can lead to strokes. The diagnosis of stroke patients is complex\nand relies on the radiologist’s expertise and the software tools used. These tools consist of very basic display methods of the volumetric data without support of state-of-the-art technologies in medical image processing and visualization. The goal of this thesis is to create an automated\nmethod for the standardized visualization of cerebral arteries in stroke patients in order to allow visual indications of problematic areas as well as straightforward inter-patient comparisons.\n\nPrior to the visualization, this work offers a solution for the extraction of the CoW from Time-of-Flight Magnetic Resonance Angiography (TOF-MRA) images. An enumeration technique for the labeling of the segments is therefore suggested. Furthermore, it proposes a method for the detection of the CoW’s main supplying arteries by analyzing the coronal, sagittal and transverse image planes of the volume. This work gives a comprehensive account of the entire pipeline that is required to extract the arteries in the CoW and to build a model for the standardized\nvisualization. The final goal of this thesis is to create an effective display of the arteries based on a radial tree layout.\n\nThe feasibility of the visual quantification method is tested in a study of 63 TOF-MRAs.  With the proposed methodology applied to the subjects, the results were compared to the findings from radiologists. The obtained results demonstrate that the proposed techniques are effective\nin detecting the arteries of the CoW. Finally, we focused our methods on the identification of the main arteries.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 552,
            "image_height": 470,
            "name": "Miao_Haichao_2015_VQC-.png",
            "type": "image/png",
            "size": 310337,
            "path": "Publication:Miao_Haichao_2015_VQC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1263
        ],
        "matrikelnr": "0726810",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 552,
                "image_height": 470,
                "name": "Miao_Haichao_2015_VQC-.png",
                "type": "image/png",
                "size": 310337,
                "path": "Publication:Miao_Haichao_2015_VQC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Miao_Haichao_2015_VQC-poster.pdf",
                "type": "application/pdf",
                "size": 9515940,
                "path": "Publication:Miao_Haichao_2015_VQC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Miao_Haichao_2015_VQC-Thesis.pdf",
                "type": "application/pdf",
                "size": 18465647,
                "path": "Publication:Miao_Haichao_2015_VQC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/Miao_Haichao_2015_VQC-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Miao_Haichao_2015_VQC/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2015-mc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatized Summarization of Multiplayer Games",
        "date": "2015-04",
        "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 400,
            "image_height": 302,
            "name": "mindek-2015-mc-.png",
            "type": "image/png",
            "size": 137906,
            "path": "Publication:mindek-2015-mc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            1246,
            171,
            166,
            161
        ],
        "booktitle": "Proceedings of Spring Conference on Computer Graphics 2015",
        "date_from": "2015-04-22",
        "date_to": "2015-04-24",
        "editor": "Joaquim Jorge, Luis Paulo Santos, Roman Durikovic",
        "isbn": "978-80-223-3844-8",
        "lecturer": [
            935
        ],
        "location": "Smolenice, Slovakia",
        "pages_from": "93",
        "pages_to": "100",
        "publisher": "Comenius University, Bratislava",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "storytelling",
            "game visualization",
            "animation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 400,
                "image_height": 302,
                "name": "mindek-2015-mc-.png",
                "type": "image/png",
                "size": 137906,
                "path": "Publication:mindek-2015-mc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2015-mc-Paper.pdf",
                "type": "application/pdf",
                "size": 281246,
                "path": "Publication:mindek-2015-mc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2015-mc-Slides.zip",
                "type": "application/zip",
                "size": 33951287,
                "path": "Publication:mindek-2015-mc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/mindek-2015-mc-Slides.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mc/",
        "__class": "Publication"
    },
    {
        "id": "Reh_Andreas_VoP",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Porosity in Carbon Fiber Reinforced Polymers",
        "date": "2015-03",
        "abstract": "Industrial research is continuously increasing efforts in designing new-tailored light-weight materials\r\nin order to meet the high demands regarding efficiency, environment, safety as well as comfort. Especially in the aeronautics industry a high demand for advanced composite materials\r\nis observable. The new generations of aircrafts are made of more than 50 % of these novel composite materials. Carbon fiber reinforced polymers (CFRPs) are currently considered as the most promising candidate since this material is outperforming the majority of conventional materials.  As a result of the manufacturing process this material tends to have pores inside. Pores\r\nin the material are typically inclusions of air. As they have an impact on the mechanical properties\r\nof the component, their determination and evaluation is an important task in quality control and a particular challenge for non-destructive testing (NDT) practitioners. Besides the characterization of individual pores, their spatial distribution in the tested component is a relevant\r\nfactor. For example, a high concentration of pores in certain regions leads to different material\r\ncharacteristics as compared to a homogenous distribution of the pores.\r\n\r\nThis work is based on 3D X-ray Computed Tomography (XCT) to gain new insight into CFRP components. Based on domain experts’ questions, specific tasks were derived. Besides the quantitative\r\nporosity determination, the main visualization tasks are: giving a fast porosity overview, exploring the individual pores, and tracking features over time based on XCT time-series. In\r\nthis thesis, three novel visual analysis tools are presented to solve these tasks.\r\n\r\nTo enhance the evaluation workflow for non-destructive testing (NDT) practitioners, a visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed.  After the calculation of local pore properties, i.e., volume, surface, extents and shape factors, a drill-down approach is employed to explore pores in a CFRP specimen. Therefore Porosity Maps (PM) are presented to allow for a fast porosity overview and selecting a region of interest.  Pores in this region may be filtered and visualized with a parallel-coordinates selection.\r\n\r\nFurthermore a novel visualization technique which allows for a fast porosity overview and exploration\r\nof pores by focusing more on their shapes is proposed. In this method, all objects (pores) are clustered into a Mean Object (MObject). To explore this MObject, the visualization of mean object sets (MObject Sets) in a radial and a parallel alignment is introduced.\r\nBy selecting a specific property such as the volume or shape factor and the desired number of classes, a MObject is split up into sub-classes. With this approach, intended classifications and\r\nvisualizations of MObjects may be explored by the user. These representative MObjects may be exported as volumetric datasets to serve as input for successive calculations and simulations. \r\n\r\nFor an overview of the pore properties in the dataset local MObjects are calculated in a grid and combined with a color-coded homogeneity visualization. Both approaches were evaluated with real-world CFRP specimens.\r\n\r\nTo go one step further, time as a fourth dimension is added to analyze a process over time, e.g., how the features evolve and formate over time. Therefore features in a series of XCT scans are tracked with the Fuzzy Feature Tracking approach and are then visualized together with the extracted events in multiple linked-views, each emphasizing individual aspects of the 4D\r\ntime-series data. Spatial feature information, global temporal overview, and global temporal evolution of how the features are tracked and connected over the whole time-series are covered\r\nwith the visual-analysis system. The results and advantages of the Fuzzy Feature Tracking tool are demonstrated using various real-world applications, such as AlSiC alloys under thermal load\r\nor wood shrinkage analyses.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1054
        ],
        "duration": "3 years",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            226
        ],
        "rigorosum": "2015-04-24",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Carbon Fiber Reinforced Polymers",
            "MObjects",
            "Porosity",
            "Visual Analysis",
            "Visualization",
            "Industrial Computed Tomography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Dissertation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reh_Andreas_VoP-Dissertation.pdf",
                "type": "application/pdf",
                "size": 13329816,
                "path": "Publication:Reh_Andreas_VoP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/Reh_Andreas_VoP-Dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/Reh_Andreas_VoP-Dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Reh_Andreas_VoP/",
        "__class": "Publication"
    },
    {
        "id": "KREUZER-2015-DPA",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Depixelizing Pixel Art in Real-Time",
        "date": "2015-02",
        "abstract": "Pixel art was frequently employed in games of the 90s and earlier. On today's large and high-resolution displays, pixel art looks blocky. Recently, an algorithm was introduced to create a smooth, resolution-independent vector representation from pixel art. However, the algorithm is far too slow for interactive use, for example in a game. This poster presents an efficient implementation of the algorithm on the GPU, so that it runs at real-time rates and can be incorporated into current game emulators. Extended Abstract: http://dl.acm.org/citation.cfm?id=2721395",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 256,
            "image_height": 128,
            "name": "KREUZER-2015-DPA-.jpg",
            "type": "image/jpeg",
            "size": 10802,
            "path": "Publication:KREUZER-2015-DPA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1046,
            1241,
            193
        ],
        "booktitle": "Proceedings of the 19th Symposium on Interactive 3D Graphics and Games",
        "date_from": "2015-02-27",
        "date_to": "2015-03-01",
        "event": "19th Symposium on Interactive 3D Graphics and Games",
        "isbn": "978-1-4503-3392-4",
        "location": "San Francisco, CA",
        "pages_from": "130",
        "pages_to": "130",
        "publisher": "ACM New York, NY, USA",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "image processing",
            "depixelizing",
            "pixel art"
        ],
        "weblinks": [
            {
                "href": "https://github.com/falichs/Depixelizing-Pixel-Art-on-GPUs",
                "caption": "repository",
                "description": "Github repository for source code and demo",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 256,
                "image_height": 128,
                "name": "KREUZER-2015-DPA-.jpg",
                "type": "image/jpeg",
                "size": 10802,
                "path": "Publication:KREUZER-2015-DPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-:thumb{{size}}.png"
            },
            {
                "description": "poster",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KREUZER-2015-DPA-Poster.pdf",
                "type": "application/pdf",
                "size": 1778426,
                "path": "Publication:KREUZER-2015-DPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/KREUZER-2015-DPA-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/KREUZER-2015-DPA/",
        "__class": "Publication"
    },
    {
        "id": "WEBER-2015-PRA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Reyes-style Adaptive Subdivision with Bounded Memory Usage",
        "date": "2015-02",
        "abstract": "Recent advances in graphics hardware have made it a desirable goal to implement the Reyes algorithm on current graphics cards. One key component in this algorithm is the bound-and-split phase, where surface patches are recursively split until they are smaller than a given screen-space bound. While this operation has been successfully parallelized for execution on the GPU using a breadth-first traversal, the resulting implementations are limited by their unpredictable worst-case memory consumption and high global memory bandwidth utilization. In this paper, we propose an alternate strategy that allows limiting the amount of necessary memory by controlling the number of assigned worker threads. The result is an implementation that scales to the performance of the breadth-first approach while offering three advantages: significantly decreased memory usage, a smooth and predictable tradeoff between memory usage and performance, and increased locality for surface processing. This allows us to render scenes that would require too much memory to be processed by the breadth-first method.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1080,
            "name": "WEBER-2015-PRA-image.png",
            "type": "image/png",
            "size": 960569,
            "path": "Publication:WEBER-2015-PRA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            743,
            193,
            1282
        ],
        "booktitle": "Proceedings of the 19th Symposium on Interactive 3D Graphics and Games (i3D 2015)",
        "date_from": "2015-02-27",
        "date_to": "2015-03-01",
        "isbn": "978-1-4503-3392-4",
        "lecturer": [
            743
        ],
        "location": "San Francisco, CA",
        "organization": "ACM",
        "pages_from": "39",
        "pages_to": "45",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "micro-rasterization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WEBER-2015-PRA-draft.pdf",
                "type": "application/pdf",
                "size": 3613764,
                "path": "Publication:WEBER-2015-PRA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "WEBER-2015-PRA-image.png",
                "type": "image/png",
                "size": 960569,
                "path": "Publication:WEBER-2015-PRA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/WEBER-2015-PRA-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer_Maria_2015_SAS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semi-Automatic Spine Labeling on T1- and T2-weighted MRI Volume Data",
        "date": "2015-01-20",
        "abstract": "In medical diagnosis, the spine is often a frame of reference and so helps to localize diseases (e.g. tumors) in the human body. Automated spine labeling approaches are in demand, in order\nto replace time consuming, manual labeling by a radiologist. Different approaches have already been proposed in the literature, mainly for Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data. While CT scans exhibit a generalized intensity scale, MR images come with a high variability within the data and hence the tissues. Several factors influence the\nappearance of vertebrae and intervertebral disks in MRI data: different scanners, changes of acquisition parameters, magnetic field inhomogeneities or age-related, structural changes of the\nspinal anatomy. These factors compound the development of semi- and fully automatic spine labeling systems.\n\nThe main goal of this thesis is to overcome these variations and find a generalized representation for different kinds of MR data. Furthermore, it aims for a semi-automatic labeling approach on these preprocessed scans where the user has to provide an initial click. Entropyoptimized Texture Models are applied to normalize the data to a standardized, reduced intensity\nscale.With Probabilistic Boosting Trees, intervertebral disk feature points are detected, whereby the disk center is selected with a Shape Particle Filter.\n\nThe results achieved with the proposed pipeline are promising in terms of data normalization, timing and labeling accuracy. With a mean overall processing time of 6.0 s for normalizing and labeling a dataset (0.8 s per disk), the algorithm achieves a precision of 92.4% (recall = 86.8%).  Using a higher resolution of the data for disk detection (average timing of 1.6 s per disk resp. 12.4 s per dataset), reduces the number of missed disk candidates and hence increases the recall to 91.7% (with a precision of 91.9%).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1137
        ],
        "co_supervisor": [
            231
        ],
        "matrikelnr": "0725248",
        "supervisor": [
            166,
            231
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer_Maria_2015_SAS-Poster.pdf",
                "type": "application/pdf",
                "size": 3716053,
                "path": "Publication:Wimmer_Maria_2015_SAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer_Maria_2015_SAS-Thesis.pdf",
                "type": "application/pdf",
                "size": 9305320,
                "path": "Publication:Wimmer_Maria_2015_SAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/Wimmer_Maria_2015_SAS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Wimmer_Maria_2015_SAS/",
        "__class": "Publication"
    },
    {
        "id": "WEBER-2015-PRA1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Micropolygon Rendering on the GPU",
        "date": "2015-01",
        "abstract": "Recent advances in graphics hardware have made it a desirable goal\nto implement the Reyes algorithm commonly used in production\nrendering to run on current graphics cards. One key component in\nthis algorithm is the bound-and-split phase, where surface patches\nare recursively split until they are smaller than a given screen-space\nbound. While this operation has been successfully parallelized for\nexecution on the GPU using a breadth-first traversal, the resulting\nimplementations are limited by their unpredictable worst-case\nmemory consumption and high global memory bandwidth utilization.\nIn this paper, we propose an alternate strategy that allows\nlimiting the amount of necessary memory by controlling the number\nof assigned worker threads. The result is an implementation\nthat scales to the performance of the breadth-first approach while\noffering three advantages: significantly decreased memory usage, a\nsmooth and predictable tradeoff between memory usage and performance,\nand increased locality for surface processing. This allows\nus to render scenes that would require too much memory to be processed\nby the breadth-first method.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 943,
            "image_height": 531,
            "name": "WEBER-2015-PRA1-teaser.png",
            "type": "image/png",
            "size": 342818,
            "path": "Publication:WEBER-2015-PRA1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            743
        ],
        "date_end": "2015-01-13",
        "date_start": "2013-01-01",
        "diploma_examina": "2015-01-13",
        "matrikelnr": "0526341",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "WEBER-2015-PRA1-poster.pdf",
                "type": "binary/octet-stream",
                "size": 775078,
                "path": "Publication:WEBER-2015-PRA1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-poster.pdf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 943,
                "image_height": 531,
                "name": "WEBER-2015-PRA1-teaser.png",
                "type": "image/png",
                "size": 342818,
                "path": "Publication:WEBER-2015-PRA1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WEBER-2015-PRA1-thesis.pdf",
                "type": "binary/octet-stream",
                "size": 10282578,
                "path": "Publication:WEBER-2015-PRA1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/WEBER-2015-PRA1-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WEBER-2015-PRA1/",
        "__class": "Publication"
    },
    {
        "id": "Beham_Michael_PSC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parameter Spaces of Cups: Cluster-based Exploration of a Geometry Generator",
        "date": "2015-01",
        "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted objects. In this thesis, we propose a novel visual exploration approach that combines the abstract parameter space of the generator with the resulting geometric shapes in a composite visualization. Similar 3D shapes are first grouped using hierarchical clustering and then displayed in an illustrative parallel coordinates or scatterplot matrix visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid regions. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts. \n\nKurzfassung:\n\nGeometriegeneratoren werden häufig in Videospielen und Evaluierungssystemen für Maschinelles Sehen eingesetzt um 3D Geometrie wie Terrains, Vegetation und Flugzeuge zu erstellen. Die Generatoren werden durch Parameter gesteuert. Diese werden oft automatisch abgetastet, um verschiedenste Variationen eines Objektes zu erzeugen. Dies führt aber oft zu sehr ähnlichen oder unerwünschten Objekten. In dieser Diplomarbeit wird ein neues Visualisierungssystemvorgestellt, welches die Analyse des abstrakten Parameterraumes eines Geometriegenerators gemeinsam mit den resultierenden Geometrieobjekten mithilfe neuer Visualisierungen darstellt. Ähnliche Objekte werden zunächst mittles Hierarchischem Clustering gruppiert und anschließend in illustrativen Parallelen Koordinaten dargestellt. Dies ermöglicht dem/der BenutzerIn die Sensitivität einzelner Parameter zu analysieren und Regionen im Parameterraum zu identifizieren, welche unerwünschte Ergebnisse liefern. Die Visualisierung startet mit einer kompakten übersichtlichen Darstellung und der/die BenutzerIn kann interaktiv die lokalen Unterschiede durch klicken auf den gewünschten Cluster analysieren. Zur erhöhten Übersichtlichkeit wird auch eine radiale Baumdarstellung der Cluster angeboten. Desweiteren können Cluster vereinigt und gesplittet werden. Das System wurde von Fachleuten evaluiert, wobei ein Tassengenerator analysiert wurde. \n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 303,
            "image_height": 178,
            "name": "Beham_Michael_PSC-teaser.png",
            "type": "image/png",
            "size": 162296,
            "path": "Publication:Beham_Michael_PSC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            816
        ],
        "matrikelnr": "unknown",
        "supervisor": [
            166,
            983
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "the poster used for the EPILOG",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1355,
                "preview_image_height": 660,
                "name": "Beham_Michael_PSC-poster.pdf",
                "type": "application/pdf",
                "size": 4017019,
                "path": "Publication:Beham_Michael_PSC",
                "preview_name": "Beham_Michael_PSC-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 2687962,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 303,
                "image_height": 178,
                "name": "Beham_Michael_PSC-teaser.png",
                "type": "image/png",
                "size": 162296,
                "path": "Publication:Beham_Michael_PSC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-teaser:thumb{{size}}.png"
            },
            {
                "description": "the final masters thesis",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 622,
                "preview_image_height": 332,
                "name": "Beham_Michael_PSC-thesis.pdf",
                "type": "application/pdf",
                "size": 15911401,
                "path": "Publication:Beham_Michael_PSC",
                "preview_name": "Beham_Michael_PSC-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 620902,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/Beham_Michael_PSC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Beham_Michael_PSC/",
        "__class": "Publication"
    },
    {
        "id": "Freude_MSc",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extending Separable Subsurface Scattering to Arbitrary Materials",
        "date": "2015-01",
        "abstract": "This thesis proposes extensions for the Separable Subsurface Scattering algorithm to support\r\narbitrary materials. Four separable (rank-1) kernel models for the approximation of physically\r\nbased diffuse reflectance profiles are presented. Each model offers different approximation quality\r\nand controllability. The first two models are based on singular value decomposition and a\r\ncustom analytic pre-integration scheme. They enable fast deterministic kernel computation and\r\nprovide fixed-quality solutions. Two additional parametrized models are based on automatic\r\nand manual optimization and provide more control over the approximation quality but are more\r\ntime-consuming to generate. Higher rank approximations can be computed using the approach\r\nbased on singular value decomposition.\r\nAll four kernel models are used to compute approximations for physically measured diffuse\r\nreflectance profiles of different materials and tested using several special-case irradiance signals\r\nand complex proof-of-concept scenes. The results are compared to the state of the art in realtime\r\nrendering of subsurface scattering, showing comparable approximation quality at lower\r\ncomputational cost. The proposed extensions enable rendering of physically based subsurface\r\nscattering for arbitrary materials and dynamic scenes in real time.\r\n\r\nhttps://www.youtube.com/watch?v=P0Tkr4HaIVk",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1072,
            "image_height": 577,
            "name": "Freude_MSc-.png",
            "type": "image/png",
            "size": 956703,
            "path": "Publication:Freude_MSc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1128
        ],
        "supervisor": [
            193,
            1073
        ],
        "research_areas": [],
        "keywords": [
            "subsurface scattering",
            "real-time"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1072,
                "image_height": 577,
                "name": "Freude_MSc-.png",
                "type": "image/png",
                "size": 956703,
                "path": "Publication:Freude_MSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Freude_MSc-poster.pdf",
                "type": "application/pdf",
                "size": 2251849,
                "path": "Publication:Freude_MSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Freude_MSc-thesis.pdf",
                "type": "application/pdf",
                "size": 19013128,
                "path": "Publication:Freude_MSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/Freude_MSc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Freude_MSc/",
        "__class": "Publication"
    },
    {
        "id": "freude-2015-xmc",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2015",
        "date": "2015",
        "abstract": "This greeting card shows the branch of a Christmas tree which is decorated with a candle as well as the logos of our institute and the TU Wien.\r\nFor a realistic representation of Subsurface Scattering in the candle and the pine needles, a method called Separable Subsurface Scattering was used, which was developed in cooperation with our institute.\r\nThis image was calculated in real time, with the additional use of HDR rendering and depth-of-field. Only the frost effect and the flame of the candle were added later using GIMP.\r\nThe images on the right show additional examples of the used Subsurface Scattering technique.\r\n\r\nDiese Grußkarte zeigt den Ast eines Christbaums welcher mit einer Kerze sowie den Logos des Instituts und der TU Wien dekoriert ist.\r\nUm eine möglichst realistische Darstellung von Subsurface Scattering in der Kerze sowie den Tannennadeln zu erzielen,\r\nwurde eine Methode namens Separable Subsurface Scattering verwendet, welche in Kooperation mit unserem Institut entwickelt wurde.\r\nDieses Bild wurde in Echtzeit berechnet, unter zusätzlicher Verwendung von HDR Rendering und Tiefenunschärfe.\r\nLediglich der Frost-Effekt sowie die Flamme der Kerze wurden nachträglich mittels GIMP hinzugefügt.\r\nDie Bilder auf der rechten Seite zeigen weitere Beispiele der verwendeten Subsurface Scattering Technik.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "X-Mas Card 2015",
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1440,
            "image_height": 1017,
            "name": "freude-2015-xmc-Image.png",
            "type": "image/png",
            "size": 1861057,
            "path": "Publication:freude-2015-xmc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1128
        ],
        "research_areas": [],
        "keywords": [
            "X-Mas Card"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "X-Mas Card 2015",
                "filetitle": "Card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freude-2015-xmc-Card.pdf",
                "type": "application/pdf",
                "size": 3974053,
                "path": "Publication:freude-2015-xmc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Card:thumb{{size}}.png"
            },
            {
                "description": "X-Mas Card 2015",
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1440,
                "image_height": 1017,
                "name": "freude-2015-xmc-Image.png",
                "type": "image/png",
                "size": 1861057,
                "path": "Publication:freude-2015-xmc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/freude-2015-xmc-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/freude-2015-xmc/",
        "__class": "Publication"
    },
    {
        "id": "gostler-2015-3dp",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Denoising Medical Surface Meshes for 3D-Printing",
        "date": "2015",
        "abstract": "3D-printed anatomical models obtained from medical volume data (CT, MRI, ultrasound) can be used for surgery-planning, diagnosis, fabrication of implants and education. Surface meshes that are extracted from real-world data typically suffer from noise, as well as other types of artifacts. This thesis compares different common denoising algorithms and asseses their applicability to medical surface meshes, particularly with regard to subsequent 3D-printing. Additionally this thesis proposes an approach to detect and remove long, thin artifacts, which are commonly found in medical data. If they are removed before smoothing, deformations in the smoothed mesh can be prevented and less support structures are needed for 3D-printing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1275
        ],
        "co_supervisor": [
            935
        ],
        "date_end": "2015-11-30",
        "date_start": "2015-04-01",
        "matrikelnr": "1129406",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gostler-2015-3dp-Thesis.pdf",
                "type": "application/pdf",
                "size": 21068125,
                "path": "Publication:gostler-2015-3dp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/gostler-2015-3dp-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/gostler-2015-3dp-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/gostler-2015-3dp/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Eduard_2015_SMV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simplifying Medical Visualization through Sparse Interaction and Reformation, MICCAI 2015 Tutorial on  Advanced Medical Visualization",
        "date": "2015",
        "abstract": "The concept of curved planar reformation and showed other applications where it makes sense to reformat data sets. Here, he gave an example of the left ventricle of the human heart.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2015-10-05",
        "date_to": "2015-10-09",
        "event": "18th International Conference on Medical Image Computing and Computer Assisted Intervention",
        "location": "Munich, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Groeller_Eduard_2015_SMV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Eduard_2015_TCU",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Certainly Uncertain Uncertainty Talk",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2015-01-27",
        "event": "Workshop on Parameter space/Uncertainty",
        "location": "Technische Universität München",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Groeller_Eduard_2015_TCU/",
        "__class": "Publication"
    },
    {
        "id": "2015-image-coll",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Organisation of Image Collections",
        "date": "2015",
        "abstract": "On the internet there are a lot of image collections, for example on Flickr or Imgur. Many of them let any user upload photographs or images. As a result, they have a large number of images, for instance Flickr had more than 10 billion image uploads in 2014 alone. This makes it di\u000ecult to \fnd speci\fc images or images\r\nwith certain attributes. Therefore, we propose a new method for searching pictures in image collections.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 335,
            "image_height": 246,
            "name": "2015-image-coll-teaser.png",
            "type": "image/png",
            "size": 72243,
            "path": "Publication:2015-image-coll",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1014
        ],
        "date_end": "2015-02",
        "date_start": "2014-09",
        "matrikelnr": "0925447",
        "supervisor": [
            950,
            166
        ],
        "research_areas": [],
        "keywords": [
            "pivot view",
            "image collections"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1000,
                "preview_image_height": 587,
                "name": "2015-image-coll-report.pdf",
                "type": "application/pdf",
                "size": 5794916,
                "path": "Publication:2015-image-coll",
                "preview_name": "2015-image-coll-report:preview.png",
                "preview_type": "image/png",
                "preview_size": 106782,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-report:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 335,
                "image_height": 246,
                "name": "2015-image-coll-teaser.png",
                "type": "image/png",
                "size": 72243,
                "path": "Publication:2015-image-coll",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/2015-image-coll-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/2015-image-coll/",
        "__class": "Publication"
    },
    {
        "id": "Adorjan-2015",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "The OpenSFM Database",
        "date": "2015",
        "abstract": "Besides using high-cost laser scanning equipment to capture large point clouds for topographical or architectural purposes, nowadays other, more affordable approaches exist. Structure-from-motion (SfM) in combination with multi-view stereo (MVS) is such a low-cost photogrammetric method used to generate large point datasets. It refers to the process of estimating three-dimensional structures out of two-dimensional image sequences. These sequences can even be captured with conventional consumer-grade digital cameras.\n\nIn our work we aim to a establish a free and fully accessible structure-from-motion system, based on the idea of collaborative projects like OpenStreetMap. Our client-server system, called OpenSfM, consists of a web front-end which lets the user explore, upload and edit SfM-datasets and a back-end that answers client requests and processes the uploaded data and stores it in a database.\n\nThe front-end is a virtual tourism client which allows the exploration of georeferenced point clouds together with their corresponding SfM-data like camera parameters and photos. The information is rendered in the context of an interactive virtual globe. An upload functionality makes it possible to integrate new SfM-datasets into the system and improve or extend existing datasets by adding images that fill missing areas of the affected point cloud. Furthermore, an edit mode allows the correction of georeferencing or reconstruction errors.\n\nOn the other side the back-end evaluates the uploaded information and generates georeferenced point datasets using a state-of-the-art SfM engine and the GPS data stored in the uploaded images. The generated point clouds are preprocessed, such that they can be used by the front-end’s point cloud renderer. After that, they are stored together with the uploaded images and SfM parameters in the underlying database.\n\nOn the whole, our system allows the gathering of SfM-datasets that represent different sights or landmarks, but also just locally famous buildings, placed all over the world. Those datasets can be explored in an interactive way by every user who accesses the virtual tourism client using a web browser.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1041
        ],
        "date_end": "2016-05-02",
        "date_start": "2015-03-04",
        "matrikelnr": "0927290 ",
        "supervisor": [
            836,
            193
        ],
        "research_areas": [
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Adorjan-2015-thesis.pdf",
                "type": "application/adobe",
                "size": 2207417,
                "path": "Publication:Adorjan-2015",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/Adorjan-2015-thesis.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Adorjan-2015/",
        "__class": "Publication"
    },
    {
        "id": "audioflow",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "AudioFlow",
        "date": "2015",
        "abstract": "In this work we present a way to use flow datasets in an artistic way. The main goal of our work is to analyze how flow data can influence audio playback. We use values from existing flow datasets to control the playback of an audio stream in our developed music player called AudioFlow. This application allows the user to extract flow data values from a loaded dataset with the help of simple drag and drop gestures. A rendered flow visualization makes it possible to select specific flow channel values. The extracted data values are then used to change the volume and playback speed of a background audio stream. Furthermore, it is possible to introduce a fading effect, which repeatedly decreases and increases the volume of the played audio file.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "AudioFlow application",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 201,
            "image_height": 200,
            "name": "audioflow-teaser.png",
            "type": "image/png",
            "size": 24879,
            "path": "Publication:audioflow",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1041
        ],
        "date_end": "2015-02",
        "date_start": "2014-10",
        "matrikelnr": "0927290",
        "supervisor": [
            950,
            166
        ],
        "research_areas": [],
        "keywords": [
            "media interaction",
            "audio manipulation",
            "flow visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Praktikum report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 573,
                "preview_image_height": 351,
                "name": "audioflow-report.pdf",
                "type": "application/pdf",
                "size": 2384340,
                "path": "Publication:audioflow",
                "preview_name": "audioflow-report:preview.png",
                "preview_type": "image/png",
                "preview_size": 44007,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-report:thumb{{size}}.png"
            },
            {
                "description": "AudioFlow application",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 201,
                "image_height": 200,
                "name": "audioflow-teaser.png",
                "type": "image/png",
                "size": 24879,
                "path": "Publication:audioflow",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/audioflow-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/audioflow/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger-2015-IST",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Prefiltered Anti-Aliasing on Parallel Hardware",
        "date": "2015",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_from": "2015-04-29",
        "event": "Seminar Talk",
        "location": "IST Austria",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Auzinger-2015-IST/",
        "__class": "Publication"
    },
    {
        "id": "auzinger-2015-phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampled and Prefiltered Anti-Aliasing on Parallel Hardware",
        "date": "2015",
        "abstract": "A fundamental task in computer graphics is the generation of two-dimensional images. Prominent examples are the conversion of text or three-dimensional scenes to formats that can be presented on a raster display. Such a conversion process - often referred to as rasterization or sampling - underlies inherent limitations due to the nature of the output format. This causes not only a loss of information in the rasterization result, which manifests as reduced image sharpness, but also causes corruption of the retained information in form of aliasing artifacts. Commonly observed examples in the final image are staircase artifacts along object silhouettes or Moire-like patterns.\r\n\r\nThe main focus of this thesis is on the effective removal of such artifacts - a process that is generally referred to as anti-aliasing. This is achieved by removing the offending input information in a filtering step during rasterization. In this thesis, we present different approaches that either minimize computational effort or emphasize output quality.\r\n\r\nWe follow the former objective in the context of an applied scenario from medical visualization. There, we support the investigation of the interiors of blood vessels in complex arrangements by allowing for unrestricted view orientation. Occlusions of overlapping blood vessels are minimized by automatically generating cut-aways with the help of an occlusion cost function. Furthermore, we allow for suitable extensions of the vessel cuts into the surrounding tissue. Utilizing a level of detail approach, these cuts are gradually smoothed with increasing distance from their respective vessels. Since interactive response is a strong requirement for a medical application, we employ fast sample-based anti-aliasing methods in the form of visibility sampling, shading supersampling, and post-process filtering.\r\n\r\nWe then take a step back and develop the theoretical foundations for anti-aliasing methods that follow the second objective of providing the highest degree of output quality. As the main contribution in this context, we present exact anti-aliasing in the form of prefiltering. By computing closed-form solutions of the filter convolution integrals in the continuous domain, we circumvent any issues that are caused by numerical integration and provide mathematically correct results. Together with a parallel hidden-surface elimination, which removes all occluded object parts when rasterizing three-dimensional scenes, we present a ground-truth solution for this setting with exact anti-aliasing. We allow for complex illumination models and perspective-correct shading by combining visibility prefiltering with shading sampling and generate a ground-truth solution for multisampling anti-aliasing.\r\n\r\nAll our aforementioned methods exhibit highly parallel workloads. Throughout the thesis, we present their mapping to massively parallel hardware architectures in the form of graphics processing units. Since our approaches do not map to conventional graphics pipelines, we implement our approach using general-purpose computing concepts. This results in decreased runtime of our methods and makes all of them interactive.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Illustration of sample-based and prefiltered edge anti-aliasing.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2632,
            "image_height": 816,
            "name": "auzinger-2015-phd-teaser.png",
            "type": "image/png",
            "size": 161776,
            "path": "Publication:auzinger-2015-phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_end": "2015",
        "date_start": "2010",
        "reviewer_1": [
            198
        ],
        "reviewer_2": [
            193
        ],
        "rigorosum": "2015-05-12",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Illustration of sample-based and prefiltered edge anti-aliasing.",
                "filetitle": "logo",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2632,
                "image_height": 816,
                "name": "auzinger-2015-phd-logo.png",
                "type": "image/png",
                "size": 161776,
                "path": "Publication:auzinger-2015-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-logo:thumb{{size}}.png"
            },
            {
                "description": "The submitted PhD thesis.",
                "filetitle": "phd-thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "auzinger-2015-phd-phd-thesis.pdf",
                "type": "application/pdf",
                "size": 47937340,
                "path": "Publication:auzinger-2015-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-phd-thesis:thumb{{size}}.png"
            },
            {
                "description": "Presentation slides used at the PhD defense.",
                "filetitle": "presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "auzinger-2015-phd-presentation.pptx",
                "type": "application/zip",
                "size": 10301895,
                "path": "Publication:auzinger-2015-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "Illustration of sample-based and prefiltered edge anti-aliasing.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2632,
                "image_height": 816,
                "name": "auzinger-2015-phd-teaser.png",
                "type": "image/png",
                "size": 161776,
                "path": "Publication:auzinger-2015-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/auzinger-2015-phd-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-phd/",
        "__class": "Publication"
    },
    {
        "id": "auzinger-2015-utokyo",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Physicist Embracing Computer Graphics: Filtering, Rendering, Visualization and Modeling",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_from": "2015-07-23",
        "date_to": "2015-07-23",
        "event": "Seminar Talk",
        "location": "University of Tokyo, Japan",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-2015-utokyo/",
        "__class": "Publication"
    },
    {
        "id": "auzinger-dissertation",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampled and Prefiltered Anti-Aliasing on Parallel Hardware",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": "auzinger-thesis",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "co_supervisor": [
            356
        ],
        "date_end": "2015",
        "date_start": "2010",
        "reviewer_1": [
            198
        ],
        "reviewer_2": [
            193
        ],
        "rigorosum": "12.05.2015",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/auzinger-dissertation/",
        "__class": "Publication"
    },
    {
        "id": "bayer-2015-gapaot",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "\"Gangsters and Pranksters: The Art of Thievery\": A Multiplayer Stealth Game in the Context of the Generation of Dynamic Replay Videos",
        "date": "2015",
        "abstract": "We wanted to create a game that is fully compatible to the surveillance system created by Peter Mindek and his colleagues. The game is a stealth based multiplayer game where you have to steal precious objects from a museum and avoid the watchman that want to catch you. After a round the game saves the replay data and the data for the event hierarchy that can be used by the surveillance system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 519,
            "image_height": 291,
            "name": "bayer-2015-gapaot-.png",
            "type": "image/png",
            "size": 134983,
            "path": "Publication:bayer-2015-gapaot",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1219
        ],
        "supervisor": [
            166,
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 519,
                "image_height": 291,
                "name": "bayer-2015-gapaot-.png",
                "type": "image/png",
                "size": 134983,
                "path": "Publication:bayer-2015-gapaot",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bayer-2015-gapaot-Thesis.pdf",
                "type": "application/pdf",
                "size": 1811901,
                "path": "Publication:bayer-2015-gapaot",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/bayer-2015-gapaot-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bayer-2015-gapaot/",
        "__class": "Publication"
    },
    {
        "id": "bydlinski-2015-gapaot",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "\"Gangsters and Pranksters: The Art of Thievery\": A Multiplayer Stealth Game in the Context of the Generation of Dynamic Replay Videos",
        "date": "2015",
        "abstract": "The projekt \"Gangsters and Pranksters: The Art of Thievery\", which I worked on in cooperation with colleague Alexander Bayer, has two goals: On the one hand, it shall work at its own as an entertaining multiplayer stealth game for up to four human players, on the other hand it was planned from scratch to be fully compatible with the \"Surveillance System\" developed by Peter Mindek for automatically generating dynamic replay videos. This thesis concentrates on the topics user interface, virtual architecture, level design, texturing and creation of an event hierarchy.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 222,
            "name": "bydlinski-2015-gapaot-.png",
            "type": "image/png",
            "size": 72692,
            "path": "Publication:bydlinski-2015-gapaot",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1218
        ],
        "supervisor": [
            166,
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 222,
                "name": "bydlinski-2015-gapaot-.png",
                "type": "image/png",
                "size": 72692,
                "path": "Publication:bydlinski-2015-gapaot",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bydlinski-2015-gapaot-Thesis.pdf",
                "type": "application/pdf",
                "size": 4219467,
                "path": "Publication:bydlinski-2015-gapaot",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/bydlinski-2015-gapaot-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/bydlinski-2015-gapaot/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2015-mctalk",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatized Summarization of Multiplayer Games",
        "date": "2015",
        "abstract": "We present a novel method for creating automatized gameplay dramatization of multiplayer video games. The dramatization serves as a visual form of guidance through dynamic 3D scenes with multiple foci, typical for such games. Our goal is to convey interesting aspects of the gameplay by animated sequences creating a summary of events which occurred during the game. Our technique is based on processing many cameras, which we refer to as a flock of cameras, and events captured during the gameplay, which we organize into a so-called event graph. Each camera has a lifespan with a certain time interval and its parameters such as position or look-up vector are changing over time. Additionally, during its lifespan each camera is assigned an importance function, which is dependent on the significance of the structures that are being captured by the camera. The images captured by the cameras are composed into a single continuous video using a set of operators based on cinematographic effects. The sequence of operators is selected by traversing the event graph and looking for specific patterns corresponding to the respective operators. In this way, a large number of cameras can be processed to generate an informative visual story presenting the gameplay. Our compositing approach supports insets of camera views to account for several important cameras simultaneously. Additionally, we create seamless transitions between individual selected camera views in order to preserve temporal continuity, which helps the user to follow the virtual story of the gameplay.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 635,
            "image_height": 479,
            "name": "mindek-2015-mctalk-.jpg",
            "type": "image/jpeg",
            "size": 32296,
            "path": "Publication:mindek-2015-mctalk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2015-05-04",
        "event": "Numerical Geometry Seminar",
        "location": "Comenius University in Bratislava",
        "research_areas": [],
        "keywords": [
            "Animation",
            "Storytelling",
            "Game Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 635,
                "image_height": 479,
                "name": "mindek-2015-mctalk-.jpg",
                "type": "image/jpeg",
                "size": 32296,
                "path": "Publication:mindek-2015-mctalk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/mindek-2015-mctalk-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-2015-mctalk/",
        "__class": "Publication"
    },
    {
        "id": "mindek-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Integrated Exploration and Management of Visualization Parameters",
        "date": "2015",
        "abstract": "Visualization algorithms are parameterized to offer universality in terms of handling various data types, showing different aspects of the visualized data, or producing results useful for domain experts from different fields. Hence, input parameters are an important aspect of the visualization process. Their exploration and management are tasks which enable the visualization reusability, portability, and interdisciplinary communication.\n\nWith increasing availability of visualization systems, which are suitable for a great variety of tasks, their complexity increases as well. This usually involves many input parameters necessary for the meaningful visualization of data. Multiple input parameters form parameter spaces which are too large to be explored by brute-force. Knowing the properties of a parameter space is often beneficial for improving data visualization. Therefore, it is important for domain experts utilizing data visualization to have tools for automatic parameter specification and for aiding the manual parameter setting.\n\nIn this thesis, we review existing approaches for parameter-space visualization, exploration, and management. These approaches are used with a great variety of underlying algorithms. We focus on their applicability to visualization algorithms. We propose three methods solving specific problems arising from the fact that the output of a visualization algorithm is an image, which is challenging to process automatically and often needs to be analyzed by a human.\n\nFirst, we propose a method for the exploration of parameter-spaces of visualization algorithms. The method is used to understand effects of combinations of parameters and parts of the internal structure of the visualization algorithms on the final image result. The exploration is carried out by specifying semantics for localized parts of the visualization images in the form of positive and negative examples influenced by a set of input parameters or parts of the visualization algorithm itself. After specifying the localized semantics, global effects of the specified components of the visualization algorithm can be observed. The method itself is independent from the underlying algorithm.\n\nSubsequently, we present a method for managing image-space selections in visualizations and automatically link them with the context in which they were created. The context is described by the values of the visualization parameters influencing the output image. The method contains a mechanism for linking additional views to the selections, allowing the user an effective management of the visualization parameters whose effects are localized to certain areas of the visualizations. We present various applications for the method, as well as an implementation in the form of a library, which is ready to be used in existing visualization systems.\n\nOur third method is designed to integrate dynamic parameters stored during a multiplayer video game session by the individual participating players. For each player, the changing parameter values of the game describe their view of the gameplay. Integrating these multiple views into a single continuous visual narrative provides means for effective summarization of gameplays, useful for entertainment, or even gameplay analysis purposes by semi-professional or professional players. We demonstrate the utility of our approach on an existing video game by producing a gameplay summary of a multiplayer game session. The proposed method opens possibilities for further research in the areas of storytelling, or at a more abstract level, parameter integration for visual computing algorithms.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 212,
            "name": "mindek-thesis-.png",
            "type": "image/png",
            "size": 22082,
            "path": "Publication:mindek-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_end": "2015-06",
        "date_start": "2011-10",
        "reviewer_1": [
            161
        ],
        "reviewer_2": [
            166
        ],
        "rigorosum": "2015-06-30",
        "supervisor": [
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 212,
                "name": "mindek-thesis-.png",
                "type": "image/png",
                "size": 22082,
                "path": "Publication:mindek-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Defense Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-thesis-Defense Slides.pptx",
                "type": "application/vnd.openxmlformats-officedocument.presentationml.presentation",
                "size": 47178838,
                "path": "Publication:mindek-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Defense Slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Dissertation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-thesis-Dissertation.pdf",
                "type": "application/pdf",
                "size": 13757991,
                "path": "Publication:mindek-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/mindek-thesis-Dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mindek-thesis/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2015-abvv",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Blood Vessel Visualization",
        "date": "2015",
        "abstract": "Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. Thus, the analysis of blood vessels for their diagnosis and treatment are important research fields of radiology. Angiographic interventions, such as stenting, balloon dilatation, or bypass surgery, need to be planned with care and precision, due to their major impact on the patient’s health state. In order to optimally decide on the therapeutic procedure, specific diagnostic methods are required. They assess the health state of blood vessels and answer clinically relevant questions such as, e.g., if blood is partially or entirely hindered from flowing through a vessel by a clot or a mineral deposition on the vessel wall, such as a calcification.\r\n\r\nIn this talk, I will present Curved Planar Reformation (CPR), a method that is designed for the investigation of peripheral arteries. This technique creates a curved plane along the centerlines of blood vessels, revealing their interior, or lumen. This allows radiologists to precisely judge if blood is able to flow through a vessel or if it is significantly hindered, as in the case of a stenosis. I will also introduce advanced methods, like Curved Surface Reformation (CSR), which computes the vessel lumen entirely in 3D, offering high-quality interactive visualizations of the vessels' interior. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, I will present other possibilities of visualizing vascular structures, such as Curvicircular Feature Aggregation (CFA). This approach aggregates the single rotated images of CPR into a single view. By eliminating the need for rotation, blood vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. As vessel visualization provides very specific insight, the overall contextual information outside the vessel lumen might deteriorate. I will present means how to overcome this by providing a spatial indication. Advancing to visualization of the cerebral arteries, I will present an approach how to automatically extract the Circle of Willis and assess the morphology of this arterial circle within a single visualization.\r\n\r\nDespite being an important part of many analysis pipelines, the segmentation of blood vessels commonly requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and error-prone for the user to find and select appropriate regions for editing. In this talk, I will present the application of a general volume editing technique to the domain of vascular structures and how it reduces the necessary interaction to obtain high-quality segmentations.\r\n\r\nDue to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Owing to this, innovations may be used inappropriately and users may become skeptical. In this talk, I will present a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. I will show how to apply this concept in the context of blood vessels investigations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869
        ],
        "date_from": "2015-10-14",
        "date_to": "2015-10-16",
        "event": "Invited Talk",
        "location": "Otto-von-Guericke University Magdeburg, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/mistelbauer-2015-abvv/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2015-ista",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reduced-Order Shape Optimization Using Offset Surfaces",
        "date": "2015",
        "abstract": "Given the 2-manifold surface of a 3d object, we propose a novel method for the computation of an offset surface with varying thickness such that the solid volume between the surface and its offset satisfies a set of prescribed constraints and at the same time minimizes a given objective functional. Since the constraints as well as the objective functional can easily be adjusted to specific application requirements, our method provides a flexible and powerful tool for shape optimization. We use manifold harmonics to derive a reduced-order formulation of the optimization problem, which guarantees a smooth offset surface and speeds up the computation independently from the input mesh resolution without affecting the quality of the result. The constrained optimization problem can be solved in a numerically robust manner with commodity solvers. Furthermore, the method allows simultaneously optimizing an inner and an outer offset in order to increase the degrees of freedom. We demonstrate our method in a number of examples where we control the physical mass properties of rigid objects for the purpose of 3d printing. \r\n\r\n\r\nLink: https://ist.ac.at/events/symposia-conferences/2015/siggraph-nano-ist-austria/date/433/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1600,
            "image_height": 900,
            "name": "musialski-2015-ista-thumbnail.png",
            "type": "image/png",
            "size": 138609,
            "path": "Publication:musialski-2015-ista",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_from": "2015-06-24",
        "date_to": "2015-06-24",
        "event": "SIGGRAPH Nano @ Institute of Science and Technology (IST), Austria",
        "location": "Institute of Science and Technology (IST), Austria",
        "research_areas": [],
        "keywords": [
            "geometry processing",
            "digital fabrication",
            "shape optimization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-ista-slides.pdf",
                "type": "application/pdf",
                "size": 4213999,
                "path": "Publication:musialski-2015-ista",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-slides:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 900,
                "name": "musialski-2015-ista-thumbnail.png",
                "type": "image/png",
                "size": 138609,
                "path": "Publication:musialski-2015-ista",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/musialski-2015-ista-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-ista/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2015-pixel",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Design for Consumer-Level Fabrication",
        "date": "2015",
        "abstract": "Digital fabrication is currently a rapidly emerging field in several science and engineering fields. Especially the technique of additive manufacturing (AM), commonly referred to as 3d printing, is a fast growing area. While this technology is in essence not new, the recent expiration of key patents for 3d-printing technology led to a break-through, which already also arrived at the consumer-level 3d-printers market. This development brings about novel requirements on digital model design. Traditional fields used to deal with digital manufacturing, like rapid prototyping, material sciences, or industrial engineering learned to deal with existing CAD-software in order to create digital content. However, the expansion of the digital fabrication technology into everybody’s homes and offices brings about the demand for novel paradigms of consumer-level computational design. This novel personal fabrication aims at bridging the gap between the still advancing digital domain and the “good old” physical world. In this talk I will give an overview of current development of such computational design in the field of computer graphics and provide details on an example application. \r\n\r\nLink: http://www.pixelvienna.com/10/event/talks#musialski",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1648,
            "image_height": 927,
            "name": "musialski-2015-pixel-thumbnail.png",
            "type": "image/png",
            "size": 101955,
            "path": "Publication:musialski-2015-pixel",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_from": "2015-11-01",
        "date_to": "2015-11-01",
        "event": "PIXEL X - Annual Austrian Computer Graphics and Animation Conference, Vienna, Austria",
        "location": "PIXEL X, TU Wien, Karlsplatz 1, Vienna, Austria",
        "research_areas": [],
        "keywords": [
            "digital fabrication",
            "geometry processing",
            "shape optimization",
            "computational design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-pixel-slides.pdf",
                "type": "application/pdf",
                "size": 2432505,
                "path": "Publication:musialski-2015-pixel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-slides:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1648,
                "image_height": 927,
                "name": "musialski-2015-pixel-thumbnail.png",
                "type": "image/png",
                "size": 101955,
                "path": "Publication:musialski-2015-pixel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/musialski-2015-pixel-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-pixel/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2015-vrvis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shape Optimization for Consumer-Level 3D Printing",
        "date": "2015",
        "abstract": "Traditionally, 3d modelling in computer graphics deals with the geometric and visual aspects of 3d shapes. On the other hand, due to the growing capabilities of personal digital fabrication technology and its spread into offices and homes, 3d models are increasingly entering the physical world. Therefore, the physical properties of 3d models come into focus. For example, 3d-printed models should be able to stand balanced in a desired pose without toppling over, or should react in certain ways when external forces are applied, like spinning the object. It is thus desirable to have methods that allow the user to specify the intended physical properties of an object in addition to its 3d geometry, and which automatically take these properties into account when generating a specification for a 3d printer.\r\n\r\nIn this talk I will give an introduction to such computational design problems and introduce our novel method for shape optimization based on offset surfaces.\r\n\r\n\r\nLink: http://www.vrvis.at/research/events/vrvisforum/vrvisforum-123-29.10.2015",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumbnail",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1600,
            "image_height": 900,
            "name": "musialski-2015-vrvis-thumbnail.png",
            "type": "image/png",
            "size": 96358,
            "path": "Publication:musialski-2015-vrvis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_from": "2015-10-29",
        "date_to": "2015-10-29",
        "event": "VRVisForum #123",
        "location": "VRVis, Techgate Vienna, Austria",
        "research_areas": [],
        "keywords": [
            "shape optimization",
            "geometry processing",
            "digital fabrication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2015-vrvis-slides.pdf",
                "type": "application/pdf",
                "size": 2945919,
                "path": "Publication:musialski-2015-vrvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-slides:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 900,
                "name": "musialski-2015-vrvis-thumbnail.png",
                "type": "image/png",
                "size": 96358,
                "path": "Publication:musialski-2015-vrvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/musialski-2015-vrvis-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "MAKE-IT-FAB"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/musialski-2015-vrvis/",
        "__class": "Publication"
    },
    {
        "id": "PERNDORFER-2015-ECS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploring Cells via Serious Gaming",
        "date": "2015",
        "abstract": "Es wurde ein Spiel entwickelt, dass z.B. Schülern grundlegende Mechanismen der Zellbiologie spielerisch näherbringt.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1269,
            1270
        ],
        "date_end": "2016-08-01",
        "date_start": "2015-10-22",
        "matrikelnr": "1025707,1025098",
        "supervisor": [
            193
        ],
        "research_areas": [
            "MedVis",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Executable game",
                "filetitle": "Binary",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PERNDORFER-2015-ECS-Binary.zip",
                "type": "application/x-zip-compressed",
                "size": 645213376,
                "path": "Publication:PERNDORFER-2015-ECS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-Binary.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Seminar paper describing the game",
                "filetitle": "seminar paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PERNDORFER-2015-ECS-seminar paper.pdf",
                "type": "application/pdf",
                "size": 4991512,
                "path": "Publication:PERNDORFER-2015-ECS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-seminar paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/PERNDORFER-2015-ECS-seminar paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/PERNDORFER-2015-ECS/",
        "__class": "Publication"
    },
    {
        "id": "Purg2015-a",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Was ist denn Farbe eigentlich?",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2015-03-26",
        "event": "Farben?-Farben!",
        "location": "Kunst-Volkshochschule Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-a/",
        "__class": "Publication"
    },
    {
        "id": "Purg2015-b",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing in Österreich",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2015-03-27",
        "event": "Medienseminar Informatik der Plattform informatik_austria",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-b/",
        "__class": "Publication"
    },
    {
        "id": "Purg2015-c",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics in Real-World Applications",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2015-06-10",
        "event": "Visual Computing Workshop at the OCG-Jahrestagung",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-c/",
        "__class": "Publication"
    },
    {
        "id": "Purg2015-d",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Industrial Use of Mixed Reality in VRVis Projects",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2015-09-07",
        "event": "VISIC'2015 Int'l Symposium on Virtual Reality, Augmented Reality and Visual Computing Application Technology",
        "location": "Beijing, China",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purg2015-d/",
        "__class": "Publication"
    },
    {
        "id": "wallner-2015-ModelingRoutinization",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling Routinization in Games: An Information Theory Approach",
        "date": "2015",
        "abstract": "Routinization is the result of practicing until an action stops being a goal-directed process.  This paper formulates a definition of routinization in games based on prior\nresearch in the fields of activity theory and practice theory.  Routinization is analyzed using the formal model of discrete-time, discrete-space Markov chains and\ninformation theory to measure the actual error between the dynamically trained models and the player interaction.  Preliminary research supports the hypothesis that Markov\nchains can be effectively used to model routinization in games.  A full study design is presented to further explore\nand verify this hypothesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            745,
            1265,
            779,
            193
        ],
        "booktitle": "Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play",
        "date_from": "2015-10-05",
        "date_to": "2015-10-07",
        "isbn": "978-1-4503-3466-2",
        "location": "London, United Kingdom",
        "pages_from": "727",
        "pages_to": "732",
        "publisher": "ACM",
        "series": "CHI PLAY ",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Games",
            "Routinization",
            "Markov Chains",
            "Information Theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Extended Abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 563,
                "preview_image_height": 411,
                "name": "wallner-2015-ModelingRoutinization-Extended Abstract.pdf",
                "type": "application/pdf",
                "size": 981363,
                "path": "Publication:wallner-2015-ModelingRoutinization",
                "preview_name": "wallner-2015-ModelingRoutinization-Extended Abstract:preview.png",
                "preview_type": "image/png",
                "preview_size": 196010,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Extended Abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Extended Abstract:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wallner-2015-ModelingRoutinization-Poster.pdf",
                "type": "application/pdf",
                "size": 2369479,
                "path": "Publication:wallner-2015-ModelingRoutinization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Talk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "wallner-2015-ModelingRoutinization-Talk.pdf",
                "type": "application/pdf",
                "size": 2750150,
                "path": "Publication:wallner-2015-ModelingRoutinization",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Talk.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/wallner-2015-ModelingRoutinization-Talk:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/wallner-2015-ModelingRoutinization/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2015-CGFC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Computer Graphics and the Future of CAAD",
        "date": "2015",
        "abstract": "The gap between real-time and non-real-time computer graphics is closing. Current approaches are able to render large amounts of geometry at interactive rates while at the same time providing an unprecedented level of feedback and support for the user. Given these developments, it will be possible to bridge the classical divide between CAAD modelling and visualization that is still pre-eminent in the architectural world. This keynote talk will take one step into this direction, presenting both recent research conducted at TU Wien's Rendering Group and the computer graphics community world-wide.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2015-09-16",
        "date_to": "2015-09-18",
        "event": "33rd Annual eCAADe conference",
        "location": "Vienna, Austria",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "computer graphics"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WIMMER-2015-CGFC/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2015-CGMC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics Meets Computational Design",
        "date": "2015",
        "abstract": "In this talk, I will report on recent advancements in Computer Graphics, which will be of great interest for next-generation computational design tools. I will present methods for modeling from images, modeling by examples and multiple examples, but also procedural modeling, modeling of physical behavior and light transport, all recently developed in our group. The common rationale behind our research is that we exploit real-time processing power and computer graphics algorithms to enable interactive computational design tools that allow short feedback loops in design processes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2015-10-20",
        "date_to": "2015-10-20",
        "event": "VGS Invited Talks Series",
        "location": "Brno University of Technology, Czech Republic",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/WIMMER-2015-CGMC/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic-2015-hiv",
        "type_id": "gallery_image",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization using cellView",
        "date": "2015",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "This image is a rendering snapshot from the cellView framework that can visualize mesoscale models created with cellPack software. The image has won the third place in the CGF cover image competition for the year 2016.",
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 4000,
            "image_height": 3000,
            "name": "lemuzic-2015-hiv-image1.png",
            "type": "image/png",
            "size": 16330957,
            "path": "Publication:lemuzic-2015-hiv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            935,
            171
        ],
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "This image is a rendering snapshot from the cellView framework that can visualize mesoscale models created with cellPack software. The image has won the third place in the CGF cover image competition for the year 2016.",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4000,
                "image_height": 3000,
                "name": "lemuzic-2015-hiv-image1.png",
                "type": "image/png",
                "size": 16330957,
                "path": "Publication:lemuzic-2015-hiv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image1:thumb{{size}}.png"
            },
            {
                "description": "This image demonstrates the ghosting effect when cutaway visualization of the HIV has been applied.",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1068,
                "image_height": 873,
                "name": "lemuzic-2015-hiv-image2.png",
                "type": "image/png",
                "size": 1167878,
                "path": "Publication:lemuzic-2015-hiv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image2:thumb{{size}}.png"
            },
            {
                "description": "Visualization of the Mycoplasma bacterium model.",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4584,
                "image_height": 4871,
                "name": "lemuzic-2015-hiv-image3.png",
                "type": "image/png",
                "size": 32347249,
                "path": "Publication:lemuzic-2015-hiv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/lemuzic-2015-hiv-image3:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-2015-hiv/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic-mindek-sorger-cgfcc",
        "type_id": "gallery_image",
        "tu_id": null,
        "repositum_id": null,
        "title": "HIV inside a blood serum",
        "date": "2015",
        "abstract": "This image is a screen capture taken in real time from our visualization tool cellVIEW. The dataset used in this scene is a HIV virus in a blood serum generated by the cellPACK tool. Our tool uses instancing and level-of-detail schemes to enable the visualization of the entire dataset in real-time. The dataset comprises 70 million individual atoms. Each individual atom is rendered as a 2D depth billboard and individual molecules are abstracted using clustering techniques to generate simplified level-of-detail proxies. These techniques have been described in a paper by Le Muzic et al.: https://diglib.eg.org/handle/10.2312/vcbm20151209",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 175,
            "image_height": 131,
            "name": "lemuzic-mindek-sorger-cgfcc-teaser.png",
            "type": "image/png",
            "size": 69101,
            "path": "Publication:lemuzic-mindek-sorger-cgfcc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            935,
            1072,
            1260,
            171
        ],
        "note": "Third place at the CGF cover contest 2016. http://vcg.isti.cnr.it/cgf/winner.php?year=2016",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4000,
                "image_height": 3000,
                "name": "lemuzic-mindek-sorger-cgfcc-.png",
                "type": "image/png",
                "size": 16330957,
                "path": "Publication:lemuzic-mindek-sorger-cgfcc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 175,
                "image_height": 131,
                "name": "lemuzic-mindek-sorger-cgfcc-teaser.png",
                "type": "image/png",
                "size": 69101,
                "path": "Publication:lemuzic-mindek-sorger-cgfcc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/lemuzic-mindek-sorger-cgfcc-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/lemuzic-mindek-sorger-cgfcc/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2015-WA",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Überblick Visual Computing: Teilbereiche und Anwendungsfelder",
        "date": "2015",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2015-11-19",
        "event": "Business Treff \"Visual Computing\"",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "pdf of the slides used",
                "filetitle": "Talk slides ",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-2015-WA-Talk slides .pdf",
                "type": "application/pdf",
                "size": 1720113,
                "path": "Publication:Purgathofer-2015-WA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides .pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/Purgathofer-2015-WA-Talk slides :thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/Purgathofer-2015-WA/",
        "__class": "Publication"
    },
    {
        "id": "raidou_EuroVis15",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual analytics for the exploration of tumor tissue characterization",
        "date": "2015",
        "abstract": "Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics. Characterization ofthese intra-tumor regions can improve patient diagnosis and enable a better targeted treatment. Ideally, tissuecharacterization could be performed non-invasively, using medical imaging data, to derive per voxel a number offeatures, indicative of tissue properties. However, the high dimensionality and complexity of this imaging-derivedfeature space is prohibiting for easy exploration and analysis - especially when clinical researchers require toassociate observations from the feature space to other reference data, e.g., features derived from histopathologicaldata. Currently, the exploratory approach used in clinical research consists of juxtaposing these data, visuallycomparing them and mentally reconstructing their relationships. This is a time consuming and tedious process,from which it is difficult to obtain the required insight. We propose a visual tool for: (1) easy exploration and visualanalysis of the feature space of imaging-derived tissue characteristics and (2) knowledge discovery and hypothesisgeneration and confirmation, with respect to reference data used in clinical research. We employ, as central view,a 2D embedding of the imaging-derived features. Multiple linked interactive views provide functionality for theexploration  and  analysis  of  the  local  structure  of  the  feature  space,  enabling  linking  to  patient  anatomy  andclinical reference data. We performed an initial evaluation with ten clinical researchers. All participants agreedthat, unlike current practice, the proposed visual tool enables them to identify, explore and analyze heterogeneousintra-tumor regions and particularly, to generate and confirm hypotheses, with respect to clinical reference data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1446,
            1454,
            1455,
            1456,
            679,
            459
        ],
        "journal": "In Computer Graphics Forum",
        "lecturer": [
            1460,
            1448,
            1449
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_EuroVis15-paper.pdf",
                "type": "application/pdf",
                "size": 2846498,
                "path": "Publication:raidou_EuroVis15",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_EuroVis15-video.mp4",
                "type": "video/mp4",
                "size": 30229493,
                "path": "Publication:raidou_EuroVis15",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/raidou_EuroVis15-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_EuroVis15/",
        "__class": "Publication"
    },
    {
        "id": "raidou_vis15",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Orientation-Enhanced Parallel Coordinate Plots",
        "date": "2015",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1451,
            679,
            823,
            459
        ],
        "journal": "IEEE transactions on visualization and computer graphics",
        "lecturer": [
            1452,
            1453,
            1448
        ],
        "number": "1",
        "pages_from": "589",
        "pages_to": "598",
        "volume": "22",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_vis15-paper.pdf",
                "type": "application/pdf",
                "size": 3927905,
                "path": "Publication:raidou_vis15",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/raidou_vis15-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/raidou_vis15-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/raidou_vis15/",
        "__class": "Publication"
    },
    {
        "id": "SCHAUKOWITSCH-2015-REMOTE",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stellarium Remote control via web",
        "date": "2015",
        "abstract": "Brief explanation: For presentations or exhibition installations (science fair, ...) which shall provide automated shows without unattended user interaction it may be useful to allow control not with keyboard/mouse/touch screen, but with commands sent via http. The commands will use the script API and should allow to control everything that is available with the script interface. This opens up the possibility to setup multiple computers (e.g. a CAVE or multi-display wall) and send timed commands with a single remote control application that may run on a regular PC or tablet, so that the content shown on the screens is synchronized and appears as singular installation. Obviously, some limitations have to be observed, such as fixed field of view, and commands are mostly limited to making objects visible, or changing time and simulation speed. Linking several systems together may require an additional time sync mechanism, i.e. one of the computers will be time master and distribute time to the other clients.\n\nThis task consists of 2 parts: A plugin \"webserver\" on each client computer that runs Stellarium, and a remote control interface. Latter can be a simple app (Qt-based for cross-development, but see below, maybe even only HTML/JS?) that may even be built for Android in addition to the other systems. Such a system should be capable of controlling a single Stellarium computer without command scripts but via GUI panels that will have to replicate many of the GUIs in Stellarium. You don't have to replicate all functions, like loading of comet orbits, just those required for explanatory astronomical shows (e.g. illustrate constellations, switch skycultures, switch horizons(landscapes), switch location, control time, switch on/off some plugin displays, ...). Optional, in single-system setups, a bluetooth connection can be added (if all else is running). The system is intended as add-on for fixed installation in a dedicated network with properly installed computers, each client will be configured with a fixed ID that can be addressed in the command scripts that the remote control application can run. The IDs can be queried via multicast at startup time of the control application and mapped for direct addressing.\n\nIt may even be possible to implement the actual remote control UI as website with some JavaScript/PHP additions. This might even maximize flexibility and allows easiest customization. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1093
        ],
        "date_start": "2015-04-17",
        "matrikelnr": "0927289",
        "supervisor": [
            193,
            222
        ],
        "research_areas": [],
        "keywords": [
            "Stellarium3D"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-REMOTE/",
        "__class": "Publication"
    },
    {
        "id": "SCHAUKOWITSCH-2015-STELL",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stellarium 3D Integration",
        "date": "2015",
        "abstract": "Scenery3d is a plugin for the open-source Stellarium planetarium application allowing users to freely observe and analyze 3D architectural structures under a realistic astronomical simulation, including realistic lighting and shadowing. During this project, we ported the pre-existing codebase (from 2012) to the current version of Stellarium, which required several structural changes like a change from Qt 4 to Qt 5 and a fully shader-based renderer. We also focused on improving the rendering performance and quality, and increased usability and code maintainability. Because a big feature of Stellarium is the use of non-linear projections which require more sophisticated rendering methods, several steps have been taken to increase the subjective performance of these methods to increase interactivity. For increasing the shadow quality, percentage-closer soft shadows were implemented. Finally, the plugin was made compatible with OpenGL ES 2.0, for use on embedded platforms or desktops without a suitable OpenGL driver. \r\n\r\nLinks:\r\n\r\nStellarium: http://stellarium.org\r\n\r\nLaunchpad (Code): https://code.launchpad.net/~stellarium-scenery3d/stellarium/scenery3d_Qt5\r\n\r\nDirect link to user documentation: https://bazaar.launchpad.net/~stellarium-scenery3d/stellarium/scenery3d_Qt5/download/head:/pluginsscenery3ddocs-20111013124518-6rr9sbb5zt1w2ylg-2/Scenery3d.pdf \r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "SCHAUKOWITSCH-2015-STELL-.png",
            "type": "image/png",
            "size": 447187,
            "path": "Publication:SCHAUKOWITSCH-2015-STELL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1093
        ],
        "date_end": "2015-03-12",
        "date_start": "2014-10-13",
        "matrikelnr": "0927289",
        "supervisor": [
            193,
            222
        ],
        "research_areas": [],
        "keywords": [
            "stellarium"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "SCHAUKOWITSCH-2015-STELL-.png",
                "type": "image/png",
                "size": 447187,
                "path": "Publication:SCHAUKOWITSCH-2015-STELL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "SCHAUKOWITSCH-2015-STELL-image.png",
                "type": "image/png",
                "size": 447187,
                "path": "Publication:SCHAUKOWITSCH-2015-STELL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/SCHAUKOWITSCH-2015-STELL-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/SCHAUKOWITSCH-2015-STELL/",
        "__class": "Publication"
    },
    {
        "id": "textures-3d-printing",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Projector-Based Textures for 3D-Printed Models - Tangible Molecular Visualization",
        "date": "2015",
        "abstract": "The now widely available 3D-printing technology enables structural molecular biologists to easily produce tangible models of large and complex molecules, which can aid them in understanding their spatial structure. Those models, however, are static and often monochrome, therefore their information content cannot compete with existing screenbased visualization solutions. Following the paradigm of spatial augmented reality, we present an approach to dynamically visualize molecular properties directly on the surface of 3D-printed tangible models, using a digital projector. We developed a prototype system consisting of hardware and software, that enables the tracking of the tangible model and the rendering of colorcoded molecular properties, which are then projected onto the tangible surface. Using knowledge about the geometry of the molecular model, the optical properties of the digital projector and the exact spatial relation between projector and model, the rendered projections are updated in real-time, such that they stay registered with the tangible model during user interaction. We evaluated the usability and potential applicability of the developed system by collecting feedback from domain experts from the fields of biochemistry and molecular\r\nbiology.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "tangible molecule model",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 419,
            "image_height": 346,
            "name": "textures-3d-printing-teaser.png",
            "type": "image/png",
            "size": 436037,
            "path": "Publication:textures-3d-printing",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1037
        ],
        "date_end": "2015-10",
        "date_start": "2014-10",
        "diploma_examina": "2015-11-12",
        "matrikelnr": "0927175",
        "supervisor": [
            1110,
            950,
            171
        ],
        "research_areas": [],
        "keywords": [
            "augmented reality",
            "3D textures",
            "biomedical visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "the poster used for the EPILOG",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1254,
                "preview_image_height": 799,
                "name": "textures-3d-printing-poster.pdf",
                "type": "application/pdf",
                "size": 3953886,
                "path": "Publication:textures-3d-printing",
                "preview_name": "textures-3d-printing-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 3011559,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-poster:thumb{{size}}.png"
            },
            {
                "description": "tangible molecule model",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 419,
                "image_height": 346,
                "name": "textures-3d-printing-teaser.png",
                "type": "image/png",
                "size": 436037,
                "path": "Publication:textures-3d-printing",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-teaser:thumb{{size}}.png"
            },
            {
                "description": "the final masters thesis",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 594,
                "preview_image_height": 537,
                "name": "textures-3d-printing-thesis.pdf",
                "type": "application/pdf",
                "size": 9933048,
                "path": "Publication:textures-3d-printing",
                "preview_name": "textures-3d-printing-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 959071,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-thesis:thumb{{size}}.png"
            },
            {
                "description": "demo video (4.5 MB)",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 976,
                "preview_image_height": 616,
                "name": "textures-3d-printing-video.mp4",
                "type": "video/mp4",
                "size": 4615666,
                "path": "Publication:textures-3d-printing",
                "preview_name": "textures-3d-printing-video:preview.png",
                "preview_type": "image/png",
                "preview_size": 1807242,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/textures-3d-printing-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2015/textures-3d-printing/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2014-ieee",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Complex Engineering Systems: Hybrid Visual Steering of Simulation Ensembles",
        "date": "2014-12",
        "abstract": "In this paper we propose a novel approach to hybrid visual steering of simulation ensembles. A simulation ensemble is a collection of simulation runs of the same simulation model using different sets of control parameters. Complex engineering systems have very large parameter spaces so a nai?ve sampling can result in prohibitively large simulation ensembles. Interactive steering of simulation ensembles provides the means to select relevant points in a multi-dimensional parameter space (design of experiment). Interactive steering efficiently reduces the number of simulation runs needed by coupling simulation and visualization and allowing a user to request new simulations on the fly. As system complexity grows, a pure interactive solution is not always sufficient. The new approach of hybrid steering combines interactive visual steering with automatic optimization. Hybrid steering allows a domain expert to interactively (in a visualization) select data points in an iterative manner, approximate the values in a continuous region of the simulation space (by regression) and automatically find the “best” points in this continuous region based on the specified constraints and objectives (by optimization). We argue that with the full spectrum of optimization options, the steering process can be improved substantially. We describe an integrated system consisting of a simulation, a visualization, and an optimization component. We also describe typical tasks and propose an interactive analysis workflow for complex engineering systems. We demonstrate our approach on a case study from automotive industry, the optimization of a hydraulic circuit in a high pressure common rail Diesel injection system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            581,
            1204,
            579,
            959,
            176,
            190
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "IEEE VAST 2014",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            235
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "1803",
        "pages_to": "1812",
        "volume": "20",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346744",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Matkovic-2014-ieee/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2014-mcs",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Managing Spatial Selections with Contextual Snapshots",
        "date": "2014-12",
        "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents, and the display of anatomical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 153,
            "name": "mindek-2014-mcs-.png",
            "type": "image/png",
            "size": 77248,
            "path": "Publication:mindek-2014-mcs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            166,
            161
        ],
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "132",
        "pages_to": "144",
        "volume": "33",
        "research_areas": [],
        "keywords": [
            "annotations",
            "spatial selections",
            "visual analytics",
            "interaction"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12406/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 153,
                "name": "mindek-2014-mcs-.png",
                "type": "image/png",
                "size": 77248,
                "path": "Publication:mindek-2014-mcs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2014-mcs-Paper.pdf",
                "type": "application/pdf",
                "size": 11838194,
                "path": "Publication:mindek-2014-mcs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "mindek-2014-mcs-Video.avi",
                "type": "video/x-msvideo",
                "size": 27776988,
                "path": "Publication:mindek-2014-mcs",
                "preview_name": "mindek-2014-mcs-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 28770,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/mindek-2014-mcs-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-mcs/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-PanEu",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Requirements on the Staff of an Application Oriented Research Organization",
        "date": "2014-12",
        "abstract": "The VRVis Research Center in Vienna is the largest technology transfer institution in the area of Visual Computing in Austria. The requirements of the funding body FFG include the publication of scientific research results in first class peer reviewed media, and the active cooperation with co-funding companies. As a consequence the requirements on the staff of VRVis are manifold: they have to communicate with real users, use real data, know about software and hardware, understand the market, do professional documentation, initiate new projects and write funding proposals for these, be part of the scientific community and publish and review papers, manage several projects in parallel and obey strict deadlines for their projects and some more. Such staff is barely available and must be trained on the job.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Purgathofer-2014-PanEu-.pdf",
            "type": "application/pdf",
            "size": 17386,
            "path": "Publication:Purgathofer-2014-PanEu",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "booktitle": "Current Issues of Science and Research in the Global World",
        "chapter": "Proceedings of the International Conference on Current Issues of Science and Research in the Global World, Vienna, Austria; 27–28 May 2014",
        "editor": "Vlasta Kunova, Martin Dolinsky",
        "isbn": "9781138027398",
        "note": "December 15, 2014 by CRC Press",
        "publisher": "CRC Balkema Press, Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-2014-PanEu-.pdf",
                "type": "application/pdf",
                "size": 17386,
                "path": "Publication:Purgathofer-2014-PanEu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/Purgathofer-2014-PanEu-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-PanEu/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_RWA",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Run Watchers: Automatic Simulation-Based Decision Support in Flood Management",
        "date": "2014-12",
        "abstract": "In this paper, we introduce a simulation-based approach to design protection plans for flood events. Existing solutions require a lot of computation time for an exhaustive search, or demand for a time-consuming expert supervision and steering. We\npresent a faster alternative based on the automated control of multiple parallel simulation runs. Run Watchers are dedicated system components authorized to monitor simulation runs, terminate them, and start new runs originating from existing ones according to domain-specific rules. This approach allows for a more efficient traversal of the search space and overall performance improvements\ndue to a re-use of simulated states and early termination of failed runs. In the course of search, Run Watchers generate large and complex decision trees. We visualize the entire set of decisions made by Run Watchers using interactive, clustered timelines. In\naddition, we present visualizations to explain the resulting response plans. Run Watchers automatically generate storyboards to convey plan details and to justify the underlying decisions, including those which leave particular buildings unprotected. We evaluate\nour solution with domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1205,
            798,
            1058,
            877,
            1206,
            1207,
            166
        ],
        "booktitle": "IEEE Transactions on Visualization and Computer Graphics/Proceedings of VAST 2014",
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "Euro Vis 2014",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1205
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "1873",
        "pages_to": "1882",
        "publisher": "IEEE",
        "volume": "20",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "visual evidence",
            "Disaster management",
            "simulation control",
            "storytelling",
            "decision making"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346930",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2014_RWA-Paper.pdf",
                "type": "application/pdf",
                "size": 1021356,
                "path": "Publication:Groeller_2014_RWA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/Groeller_2014_RWA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_RWA/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Eduard_2014_TSP",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Spinel Explorer - Interactive Visual Analysis of Spinel Group Minerals",
        "date": "2014-12",
        "abstract": "Geologists usually deal with rocks that are up to several thousand million years old. They try to reconstruct the tectonic settings where these rocks were formed and the history of events that affected them through the geological time. The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed. They constitute excellent indicators of geological environments (tectonic settings) and are of invaluable help in the search for mineral deposits of economic interest. The current workflow requires the scientists to work with different applications to analyze spine data. They do use specific diagrams, but these are usually not interactive. The current workflow hinders domain experts to fully exploit the potentials of tediously and expensively collected data. In this paper, we introduce the Spinel Explorer-an interactive visual analysis application for spinel group minerals. The design of the Spinel Explorer and of the newly introduced interactions is a result of a careful study of geologists' tasks. The Spinel Explorer includes most of the diagrams commonly used for analyzing spinel group minerals, including 2D binary plots, ternary plots, and 3D Spinel prism plots. Besides specific plots, conventional information visualization views are also integrated in the Spinel Explorer. All views are interactive and linked. The Spinel Explorer supports conventional statistics commonly used in spinel minerals exploration. The statistics views and different data derivation techniques are fully integrated in the system. Besides the Spinel Explorer as newly proposed interactive exploration system, we also describe the identified analysis tasks, and propose a new workflow. We evaluate the Spinel Explorer using real-life data from two locations in Argentina: the Frontal Cordillera in Central Andes and Patagonia. We describe the new findings of the geologists which would have been much more difficult to achieve using the cur- ent workflow only. Very positive feedback from geologists confirms the usefulness of the Spinel Explorer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1228,
            1229,
            1233,
            1231,
            1232,
            166,
            235
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "VAST 2014",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1228,
            1301
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "1913",
        "pages_to": "1922",
        "volume": "20",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346754",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Eduard_2014_TSP-Paper.pdf",
                "type": "application/pdf",
                "size": 1546260,
                "path": "Publication:Groeller_Eduard_2014_TSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/Groeller_Eduard_2014_TSP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/Groeller_Eduard_2014_TSP-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_TSP/",
        "__class": "Publication"
    },
    {
        "id": "Bauer_Johannes_2014_IWB",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integration of Web-Based Information Visualizations into a Scientific Visualization Environment",
        "date": "2014-12",
        "abstract": "Today’s neuro-biological research is often based on brains of the Drosophila Melanogaster, the commonly known fruit fly. To study the function of neuronal circuits scientists often have to\ncompare the neuronal structures of a set of different brains. Their aim is to find out how complex behavior is generated. Therefore the scientists at the Institute of Molecular Pathology (IMP) in Vienna are using a confocal microscope to produce volumetric images of Drosophila brains.  Today they have acquired more than 40.000 images and a large amount of additional data.\n\nIn many cases 3D renderings of these volumetric images are not sufficient to solve certain scientific problems especially when multiple brains have to be considered. Therefore the researchers\nrely on additional data which is stored in databases. The problem here is that the scientists have two different data sources without a connection between them. On the one hand there are the volumetric images and on the other hand there is the additional data which has\ncertain relations to the brains.\n\nThis thesis proposes a software design concept to establish a connection between 3D renderings of volumetric images and additional data by using information visualizations. Highlighting\ntechniques can be introduced to link volume visualizations of the brains to related data visualized by 2D information visualizations. Therefore the implementation of this design concept gets integrated into an existing scientific visualization environment. To evaluate this concept\ncommon neuro-biological use cases are introduced and it is described how the implementation of this design concept supports the work flow of the researchers.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1224
        ],
        "matrikelnr": "?",
        "supervisor": [
            166,
            231
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_Johannes_2014_IWB-Poster.pdf",
                "type": "application/pdf",
                "size": 6803423,
                "path": "Publication:Bauer_Johannes_2014_IWB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bauer_Johannes_2014_IWB-Thesis.pdf",
                "type": "application/pdf",
                "size": 7003243,
                "path": "Publication:Bauer_Johannes_2014_IWB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/Bauer_Johannes_2014_IWB-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bauer_Johannes_2014_IWB/",
        "__class": "Publication"
    },
    {
        "id": "beham-2014-cupid",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cupid: Cluster-based Exploration of Geometry Generators with Parallel Coordinates and Radial Trees",
        "date": "2014-12",
        "abstract": "Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 307,
            "image_height": 255,
            "name": "beham-2014-cupid-teaser.png",
            "type": "image/png",
            "size": 235549,
            "path": "Publication:beham-2014-cupid",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            816,
            1193,
            166,
            983
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "IEEE VIS 2014",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            816
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "1693",
        "pages_to": "1702 ",
        "volume": "20",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "3D shape analysis",
            "radial trees",
            "hierarchical clustering",
            "illustrative parallel coordinates",
            "composite visualization"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346626",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "comparison of selected 3D shapes",
                "filetitle": "data-comparison",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 349,
                "image_height": 310,
                "name": "beham-2014-cupid-data-comparison.png",
                "type": "image/png",
                "size": 325461,
                "path": "Publication:beham-2014-cupid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-data-comparison:thumb{{size}}.png"
            },
            {
                "description": "draft report (accepted for publication by IEEE)",
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 717,
                "preview_image_height": 643,
                "name": "beham-2014-cupid-draft.pdf",
                "type": "application/pdf",
                "size": 7298756,
                "path": "Publication:beham-2014-cupid",
                "preview_name": "beham-2014-cupid-draft:preview.png",
                "preview_type": "image/png",
                "preview_size": 1386025,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-draft:thumb{{size}}.png"
            },
            {
                "description": "cluster view, where clusters can be merged/split",
                "filetitle": "radial-tree",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 345,
                "image_height": 337,
                "name": "beham-2014-cupid-radial-tree.png",
                "type": "image/png",
                "size": 349754,
                "path": "Publication:beham-2014-cupid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-radial-tree:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 307,
                "image_height": 255,
                "name": "beham-2014-cupid-teaser.png",
                "type": "image/png",
                "size": 235549,
                "path": "Publication:beham-2014-cupid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-teaser:thumb{{size}}.png"
            },
            {
                "description": "animated transitions between different levels in the cluster hierarchy",
                "filetitle": "transitions",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 303,
                "image_height": 178,
                "name": "beham-2014-cupid-transitions.png",
                "type": "image/png",
                "size": 162296,
                "path": "Publication:beham-2014-cupid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/beham-2014-cupid-transitions:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/beham-2014-cupid/",
        "__class": "Publication"
    },
    {
        "id": "Bernhard_Matthias_2014_VAC",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Attention in Computer Graphics",
        "date": "2014-12",
        "abstract": "This thesis is concerned with gaze analysis methods to study visual attention in interactive 3D computer-graphics applications, such as virtual environments or computer games. Under this scope, research has been carried out in two directions: On the one hand, it was investigated how gaze analysis in three-dimensional virtual environments can be advanced. On the other hand, approaches were explored which improve three-dimensional graphics by taking into account visual attention of a user.\r\n\r\nTo advance gaze analysis in 3D computer graphics applications, two challenges have been\r\naddressed: First, inferring the object of attention at a certain point in time from the current output of an eye tracker – a technique which we denote as gaze-to-object mapping –, and second, deriving a statistical model for visual attention - a data structure we denote as importance map - from sequences of gaze samples recorded from many users. While addressing these challenges is a crucial step towards advancing gaze analysis and research on visual attention which employs modern computer graphics, the results may also be used in applications which attempt to perceptually optimize rendering. Thus, the third challenge addressed in this thesis was to explore an example application for attention-aware rendering techniques, where gaze-to-object mapping or importance maps can be employed to determine or predict the object of attention at run time. Thus, this thesis concludes with a pilot study on an application that dynamically adjusts the configuration of a stereo 3D display such that the object being attended by the user can be seen most comfortably.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660
        ],
        "date_end": "2014",
        "date_start": "2009",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1313
        ],
        "rigorosum": "2014-12-11",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "dissertation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bernhard_Matthias_2014_VAC-dissertation.pdf",
                "type": "application/pdf",
                "size": 82061486,
                "path": "Publication:Bernhard_Matthias_2014_VAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/Bernhard_Matthias_2014_VAC-dissertation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Bernhard_Matthias_2014_VAC/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2014-af",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": " Attractive Flicker: Guiding Attention in Dynamic Narrative Visualizations",
        "date": "2014-12",
        "abstract": "Focus+context techniques provide visual guidance in visualizations by giving strong visual prominence to elements of interest while the context is suppressed. However, finding a visual feature to enhance for the focus to pop out from its context in a large dynamic scene, while leading to minimal visual deformation and subjective disturbance, is challenging. This paper proposes Attractive Flicker, a novel technique for visual guidance in dynamic narrative visualizations. We first show that flicker is a strong visual attractor in the entire visual field, without distorting, suppressing, or adding any scene elements. The novel aspect of our Attractive Flicker technique is that it consists of two signal stages: The first “orientation stage” is a short but intensive flicker stimulus to attract the attention to elements of interest. Subsequently, the intensive flicker is reduced to a minimally disturbing luminance oscillation (“engagement stage”) as visual support to keep track of the focus elements. To find a good trade-off between attraction effectiveness and subjective annoyance caused by flicker, we conducted two perceptual studies to find suitable signal parameters. We showcase Attractive Flicker with the parameters obtained from the perceptual statistics in a study of molecular interactions. With Attractive Flicker, users were able to easily follow the narrative of the visualization on a large display, while the flickering of focus elements was not disturbing when observing the context.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 605,
            "name": "waldner-2014-af-.png",
            "type": "image/png",
            "size": 232715,
            "path": "Publication:waldner-2014-af",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1189,
            660,
            190,
            171
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "IEEE VIS 2014",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1110
        ],
        "location": "Paris, France",
        "number": "12",
        "pages_from": "2456",
        "pages_to": "2465",
        "volume": "20",
        "research_areas": [
            "BioVis",
            "Perception"
        ],
        "keywords": [
            "Narrative Visualization",
            "Flicker",
            "Visual Attention"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2346352",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 605,
                "name": "waldner-2014-af-.png",
                "type": "image/png",
                "size": 232715,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-:thumb{{size}}.png"
            },
            {
                "description": "Screenshot of the large molecular scene used in the final experiment",
                "filetitle": "molecularScene",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 7597,
                "image_height": 1327,
                "name": "waldner-2014-af-molecularScene.png",
                "type": "image/png",
                "size": 3805356,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-molecularScene:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2014-af-paper.pdf",
                "type": "application/pdf",
                "size": 6413298,
                "path": "Publication:waldner-2014-af",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preview video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "waldner-2014-af-Preview video.mp4",
                "type": "video/mp4",
                "size": 16497882,
                "path": "Publication:waldner-2014-af",
                "preview_name": "waldner-2014-af-Preview video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14964,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Preview video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Submission video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "waldner-2014-af-Submission video.mp4",
                "type": "video/mp4",
                "size": 23904054,
                "path": "Publication:waldner-2014-af",
                "preview_name": "waldner-2014-af-Submission video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 48929,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/waldner-2014-af-Submission video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-af/",
        "__class": "Publication"
    },
    {
        "id": "ymca",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "YMCA - Your Mesh Comparison Application",
        "date": "2014-11",
        "abstract": "Polygonal meshes can be created in several different ways. In this paper we focus on the reconstruction of meshes from point clouds, which are sets of points in 3D. Several algorithms that tackle this task already exist, but they have different benefits and drawbacks, which leads to a large number of possible reconstruction results (i.e., meshes). The evaluation of those techniques requires extensive comparisons between different meshes which is up to now done by either placing images of rendered meshes side-by-side, or by encoding differences by heat maps. A major drawback of both approaches is that they do not scale well with the number of meshes. This paper introduces a new comparative visual analysis technique for 3D meshes which enables the simultaneous comparison of several meshes and allows for the interactive exploration of their differences. Our approach gives an overview of the differences of the input meshes in a 2D view. By selecting certain areas of interest, the user can switch to a 3D representation and explore the spatial differences in detail. To inspect local variations, we provide a magic lens tool in 3D. The location and size of the lens provide further information on the variations of the reconstructions in the selected area. With our comparative visualization approach, differences between several mesh reconstruction algorithms can be easily localized and inspected.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 644,
            "image_height": 661,
            "name": "ymca-teaser.png",
            "type": "image/png",
            "size": 1279857,
            "path": "Publication:ymca",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            950,
            799,
            808,
            193,
            166,
            161
        ],
        "booktitle": "IEEE Visual Analytics Science and Technology",
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "lecturer": [
            950
        ],
        "location": "Paris, France",
        "note": "http://dx.doi.org/10.1109/VAST.2014.7042491",
        "publisher": "IEEE Computer Society",
        "series": "VAST ",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "mesh comparison",
            "3D data exploration",
            "focus+context",
            "comparative visualization",
            "Visual analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "paper (authors personal copy, accepted for publication by IEEE)",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 669,
                "preview_image_height": 430,
                "name": "ymca-paper.pdf",
                "type": "application/pdf",
                "size": 2169351,
                "path": "Publication:ymca",
                "preview_name": "ymca-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 864893,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 644,
                "image_height": 661,
                "name": "ymca-teaser.png",
                "type": "image/png",
                "size": 1279857,
                "path": "Publication:ymca",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-teaser:thumb{{size}}.png"
            },
            {
                "description": "demonstration of the application - 4:30 min - 20.2 MB",
                "filetitle": "video-demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 64,
                "preview_image_height": 41,
                "name": "ymca-video-demo.wmv",
                "type": "application/octet-stream",
                "size": 21207342,
                "path": "Publication:ymca",
                "preview_name": "ymca-video-demo:preview.png",
                "preview_type": "image/png",
                "preview_size": 8002,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/ymca-video-demo:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ymca/",
        "__class": "Publication"
    },
    {
        "id": "Guerrero_Paul_2014_EPG",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Edit Propagation using Geometric Analogies",
        "date": "2014-11",
        "abstract": "Modeling complex geometrical shapes, like city scenes or terrains with dense vegetation, is a time-consuming task that cannot be automated trivially. The problem of creating and editing many similar, but not identical models requires specialized methods that understand what makes these objects similar in order to either create new variations of these models from scratch or to propagate edit operations from one object to all similar objects. In this thesis, we present new methods to significantly reduce the effort required to model complex scenes.\r\n\r\nFor 2D scenes containing deformable objects, such as fish or snakes, we present a method to find partial matches between deformed shapes that can be used to transfer localized properties such as texture between matching shapes. Shapes are considered similar if they are related by pointwise\r\ncorrespondences and if neighboring points have correspondences with similar transformation parameters. Unlike previous work, this approach allows us to successfully establish matches between strongly deformed objects, even in the presence of occlusions and sparse or unevenly\r\ndistributed sets of matching features.\r\n\r\nFor scenes consisting of 2D shape arrangements, such as floor plans, we propose methods to find similar locations in the arrangements, even though the arrangements themselves are\r\ndissimilar. Edit operations, such as object placements, can be propagated between similar locations. Our approach is based on simple geometric relationships between the location and the shape arrangement, such as the distance of the location to a shape boundary or the direction to the closest shape corner. Two locations are similar of they have many similar relations to their surrounding shape arrangement. To the best of our knowledge, there is no method that explicitly attempts to find similar locations in dissimilar shape arrangements. We demonstrate populating\r\nlarge scenes such as floor plans with hundreds of objects like pieces of furniture, using relatively few edit operations.\r\n\r\nAdditionally, we show that providing several examples of an edit operation helps narrowing down the supposed modeling intention of the user and improves the quality of the edit propagation.  A probabilistic model is learned from the examples and used to suggest similar edit operations.\r\nAlso, extensions are shown that allow application of this method in 3D scenes. Compared to previous approaches that use entire scenes as examples, our method provides more user control\r\nand has no need for large databases of example scenes or domain-specific knowledge. We demonstrate generating 3D interior decoration and complex city scenes, including buildings with\r\ndetailed facades, using only few edit operations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627
        ],
        "date_end": "2014",
        "date_start": "2008",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            194,
            1317
        ],
        "rigorosum": "2014-11-17",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero_Paul_2014_EPG-Thesis.pdf",
                "type": "application/pdf",
                "size": 65980866,
                "path": "Publication:Guerrero_Paul_2014_EPG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/Guerrero_Paul_2014_EPG-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/Guerrero_Paul_2014_EPG-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero_Paul_2014_EPG/",
        "__class": "Publication"
    },
    {
        "id": "Guerrero-2014-TPS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Partial Shape Matching using Transformation Parameter Similarity",
        "date": "2014-11",
        "abstract": "In this paper, we present a method for non-rigid, partial shape matching in vector graphics. Given a user-specified query region in a 2D shape, similar regions are found, even if they are non-linearly distorted. Furthermore, a non-linear mapping is established between the query regions and these matches, which allows the automatic transfer of editing operations such as texturing. This is achieved by a two-step approach. First, point-wise correspondences between the query region and the whole shape are established. The transformation parameters of these correspondences are registered in an appropriate transformation space. For transformations between similar regions, these parameters form surfaces in transformation space, which are extracted in the second step of our method. The extracted regions may be related to the query region by a non-rigid transform, enabling non-rigid shape matching.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "representative image",
            "filetitle": "representative_image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 679,
            "image_height": 849,
            "name": "Guerrero-2014-TPS-representative_image.png",
            "type": "image/png",
            "size": 319867,
            "path": "Publication:Guerrero-2014-TPS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627,
            808,
            193,
            356
        ],
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "1",
        "pages_to": "14",
        "volume": "33",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "Shape Matching",
            "Texture Transfer",
            "Non-Rigid",
            "Deformable",
            "Edit Propagation",
            "Partial"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12509/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "employed shape descriptors and transformation space visualizations",
                "filetitle": "additonal_material",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero-2014-TPS-additonal_material.pdf",
                "type": "application/pdf",
                "size": 2908763,
                "path": "Publication:Guerrero-2014-TPS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-additonal_material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-additonal_material:thumb{{size}}.png"
            },
            {
                "description": "pre-print version of the paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero-2014-TPS-paper.pdf",
                "type": "application/pdf",
                "size": 24942206,
                "path": "Publication:Guerrero-2014-TPS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-paper:thumb{{size}}.png"
            },
            {
                "description": "representative image",
                "filetitle": "representative_image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 679,
                "image_height": 849,
                "name": "Guerrero-2014-TPS-representative_image.png",
                "type": "image/png",
                "size": 319867,
                "path": "Publication:Guerrero-2014-TPS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/Guerrero-2014-TPS-representative_image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-TPS/",
        "__class": "Publication"
    },
    {
        "id": "MORARU-2014-CPD",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cross-Platform Development Approaches tor the Mobile Device Platforms Android and iOS",
        "date": "2014-11",
        "abstract": "This paper provides an introduction to cross-platform programming for mobile devices as well as an overview of different object-oriented programming -based cross-platform development approaches. The presented approaches are described, discussed and evaluated based on their advantages and disadvantages, as well as a practical implementation.\r\n\r\nThe comparison relies on different aspects, including the preparation of the workspace, necessary programs, installations and plug-ins, their price, the supported platforms, the effort to implement, the ease with which the application programming interfaces can be used and much more.\r\n\r\nThus the investment of time, money and energy, as well as other difficulties, which might occur while following an approach, constitute important factors which contribute to the results of the evaluation. In the end the paper suggests which might be the best and easiest approach, respectively which approaches are more appropriate than others in some certain cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1216
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "cross-platform development",
            "mobile computing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MORARU-2014-CPD-thesis.pdf",
                "type": "application/pdf",
                "size": 2915090,
                "path": "Publication:MORARU-2014-CPD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/MORARU-2014-CPD-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/MORARU-2014-CPD-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/MORARU-2014-CPD/",
        "__class": "Publication"
    },
    {
        "id": "puenguentzky-2014-ht",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "HistoryTime: A Chrome history visualization using WebGL",
        "date": "2014-11",
        "abstract": "Even though modern web browsers offer history functionalities, only few people use it to re-visit previously visited websites. In this thesis we present HistoryTime, a 3D visualization of the Google Chrome browser history. The goal of this project was to visualize the content of a user’s web browsing history in an aesthetic way, as well as to increase the general motivation to use it. We developed a 3-dimensional, visually appealing extension for Google Chrome that offers various possibilities, sorting-modes and browsing-functionalities which should make exploring and searching for websites in the history more pleasant to use. The data is retrieved via the Chrome history API exclusively, and visualized in a WebGL environment using the three.js JavaScript 3D library.\n\nThe prototype of HistoryTime was tested and compared to the standard Google Chrome browser history in the scope of a small user study. The results indicated that our extension offered a better usability overall, and also allowed to solve certain tasks that were not possible with the standard history.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 429,
            "image_height": 265,
            "name": "puenguentzky-2014-ht-.png",
            "type": "image/png",
            "size": 39426,
            "path": "Publication:puenguentzky-2014-ht",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1182
        ],
        "matrikelnr": "1125593",
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 429,
                "image_height": 265,
                "name": "puenguentzky-2014-ht-.png",
                "type": "image/png",
                "size": 39426,
                "path": "Publication:puenguentzky-2014-ht",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "puenguentzky-2014-ht-thesis.pdf",
                "type": "application/pdf",
                "size": 2137000,
                "path": "Publication:puenguentzky-2014-ht",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/puenguentzky-2014-ht-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/puenguentzky-2014-ht/",
        "__class": "Publication"
    },
    {
        "id": "birkeland_aasmund_2014_pums",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perceptually Uniform Motion Space",
        "date": "2014-11",
        "abstract": "Flow data is often visualized by animated particles inserted into a ?ow ?eld. The velocity of a particle on the screen is typically linearly scaled by the velocities in the data. However, the perception of velocity magnitude in animated particles is not necessarily linear. We present a study on how different parameters affect relative motion perception. We have investigated the impact of four parameters. The parameters consist of speed multiplier, direction, contrast type and the global velocity scale. In addition, we investigated if multiple motion cues, and point distribution, affect the speed estimation. Several studies were executed to investigate the impact of each parameter. In the initial results, we noticed trends in scale and multiplier. Using the trends for the signi?cant parameters, we designed a compensation model, which adjusts the particle speed to compensate for the effect of the parameters. We then performed a second study to investigate the performance of the compensation model. From the second study we detected a constant estimation error, which we adjusted for in the last study. In addition, we connect our work to established theories in psychophysics by comparing our model to a model based on Stevens’ Power Law.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 663,
            "image_height": 663,
            "name": "birkeland_aasmund_2014_pums-.png",
            "type": "image/png",
            "size": 568432,
            "path": "Publication:birkeland_aasmund_2014_pums",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1007,
            1144,
            171
        ],
        "date_from": "2014-11-09",
        "date_to": "2014-11-14",
        "event": "IEEE VIS 2014",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            1007
        ],
        "location": "IEEE VIS 2014",
        "number": "11",
        "pages_from": "1542",
        "pages_to": "1554",
        "volume": "20",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "motion visualization",
            "motion perception",
            "animation",
            "evauation",
            "perceptual model"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2014.2322363",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 663,
                "image_height": 663,
                "name": "birkeland_aasmund_2014_pums-.png",
                "type": "image/png",
                "size": 568432,
                "path": "Publication:birkeland_aasmund_2014_pums",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birkeland_aasmund_2014_pums-paper.pdf",
                "type": "application/pdf",
                "size": 5605137,
                "path": "Publication:birkeland_aasmund_2014_pums",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/birkeland_aasmund_2014_pums-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birkeland_aasmund_2014_pums/",
        "__class": "Publication"
    },
    {
        "id": "fan-2014-scfl",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Structure Completion for Facade Layouts",
        "date": "2014-11",
        "abstract": "We present a method to complete missing structures in facade layouts. Starting from an abstraction of the partially observed layout as a set of shapes, we can propose one or multiple possible completed layouts. Structure completion with large missing parts is an ill-posed problem. Therefore, we combine two sources of information to derive our solution: the observed shapes and a database of complete layouts. The problem is also very difficult, because shape positions and attributes have to be estimated jointly. Our proposed solution is to break the problem into two components: a statistical model to evaluate layouts and a planning algorithm to generate candidate layouts. This ensures that the completed result is consistent with the observation and the layouts in the database.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1141,
            "image_height": 614,
            "name": "fan-2014-scfl-image.png",
            "type": "image/png",
            "size": 541257,
            "path": "Publication:fan-2014-scfl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1197,
            844,
            1198,
            194
        ],
        "date_from": "2014-12-03",
        "date_to": "2014-12-06",
        "event": "ACM SIGGRAPH Asia",
        "journal": "ACM Transactions on Graphics (ACM SIGGRAPH Asia 2014)",
        "lecturer": [
            1197
        ],
        "location": "Shenzhen, China",
        "number": "6",
        "pages_from": "210:1",
        "pages_to": "210:11",
        "volume": "33",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "facade modeling",
            "facade completion",
            "structure completion",
            "urban modeling"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1145/2661229.2661265",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "additional",
                "filetitle": "additional",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fan-2014-scfl-additional.pdf",
                "type": "application/pdf",
                "size": 6068487,
                "path": "Publication:fan-2014-scfl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-additional:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1141,
                "image_height": 614,
                "name": "fan-2014-scfl-image.png",
                "type": "image/png",
                "size": 541257,
                "path": "Publication:fan-2014-scfl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-image:thumb{{size}}.png"
            },
            {
                "description": "highres [62MB]",
                "filetitle": "preprint-highres",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fan-2014-scfl-preprint-highres.pdf",
                "type": "application/pdf",
                "size": 64922493,
                "path": "Publication:fan-2014-scfl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint-highres:thumb{{size}}.png"
            },
            {
                "description": "lowres [6MB]",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fan-2014-scfl-preprint.pdf",
                "type": "application/pdf",
                "size": 5664638,
                "path": "Publication:fan-2014-scfl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/fan-2014-scfl-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide",
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fan-2014-scfl/",
        "__class": "Publication"
    },
    {
        "id": "zsolnai-ist-invited-2014",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Light Transport with a Touch of Fluids",
        "date": "2014-10-21",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1073
        ],
        "date_from": "2014-10-21",
        "event": "IST Austria",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "photorealistic rendering",
            "subsurface scattering",
            "fluid simulation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/zsolnai-ist-invited-2014/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_IIP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactively illustrating polymerization using three-level model fusion",
        "date": "2014-10",
        "abstract": "Background: Research in cell biology is steadily contributing new knowledge about many aspects of physiological \nprocesses, both with respect to the involved molecular structures as well as their related function.   llustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments.\n\nResults: In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from\nthe class of polymerization at different time scales. We integrate physical and empirical modeling, according to which approach best suits the different involved levels of detail, and we additionally enable a form of interactive steering, while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a first evaluation with domain experts.\n\nConclusion: We conclude that our approach provides a new, hybrid modeling approach for illustrating the process of emergence in physiology, embedded in a densely filled environment. Our approach of a complementary fusion of three systems combines the strong points from the different modeling approaches and is capable to bridge different spatial and temporal scales.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 339,
            "image_height": 241,
            "name": "Viola_Ivan_IIP-.jpg",
            "type": "image/jpeg",
            "size": 12109,
            "path": "Publication:Viola_Ivan_IIP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1192,
            1143,
            171,
            161,
            1190,
            176
        ],
        "issn": "1471-2105",
        "journal": "BMC Bioinformatics 2014",
        "number": "345",
        "pages_from": "1",
        "pages_to": "16",
        "volume": "15",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "Multi-agent modeling",
            "L-system modeling",
            "Biochemical visualization",
            "Visualization of physiology",
            "Polymerization"
        ],
        "weblinks": [
            {
                "href": "http://www.biomedcentral.com/1471-2105/15/345",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 339,
                "image_height": 241,
                "name": "Viola_Ivan_IIP-.jpg",
                "type": "image/jpeg",
                "size": 12109,
                "path": "Publication:Viola_Ivan_IIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_IIP-Paper.pdf",
                "type": "application/pdf",
                "size": 2018235,
                "path": "Publication:Viola_Ivan_IIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/Viola_Ivan_IIP-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_IIP/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2014-ghi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphical Histories of Information Foraging",
        "date": "2014-10",
        "abstract": "During information foraging, knowledge workers iteratively seek, filter, read, and extract information. When using multiple information sources and different applications for information processing, re-examination of activities for validation of previous decisions or re-discovery of previously used information sources is challenging. In this paper, we present a novel representation of cross-application histories to support recall of past operations and re-discovery of information resources. Our graphical history consists of a cross-scale visualization combining an overview node-link diagram of used desktop resources with nested (animated) snapshot sequences, based on a recording of the visual screen output during the users’ desktop work. This representation makes key elements of the users’ tasks visually stand out, while exploiting the power of visual memory to recover subtle details of their activities. In a preliminary study, users found our graphical history helpful to recall details of an information foraging task and commented positively on the ability to expand overview nodes into snapshot and video sequences.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 748,
            "image_height": 668,
            "name": "waldner-2014-ghi-.png",
            "type": "image/png",
            "size": 118153,
            "path": "Publication:waldner-2014-ghi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            161,
            171
        ],
        "booktitle": "Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational ",
        "date_from": "2014-10-26",
        "date_to": "2014-10-30",
        "isbn": "978-1-4503-2542-4",
        "lecturer": [
            1110
        ],
        "location": "Helsinki, Finland",
        "organization": "NordiCHI’14 - Nordic Conference on Human-Computer Interaction",
        "pages_from": "295",
        "pages_to": "304",
        "publisher": "ACM",
        "research_areas": [
            "InfoVis",
            "NetVis"
        ],
        "keywords": [
            "Graph visualization",
            "Interaction history",
            "Provenance"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 748,
                "image_height": 668,
                "name": "waldner-2014-ghi-.png",
                "type": "image/png",
                "size": 118153,
                "path": "Publication:waldner-2014-ghi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2014-ghi-paper.pdf",
                "type": "application/pdf",
                "size": 3116802,
                "path": "Publication:waldner-2014-ghi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/waldner-2014-ghi-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/waldner-2014-ghi/",
        "__class": "Publication"
    },
    {
        "id": "WINKLER-2013-AMO",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Modifications of a Basic Rendering Framework",
        "date": "2014-10",
        "abstract": "In this thesis an overview about my work on the framework for the lab course “Introduction to\r\ncomputer graphics” will be given. At first the current situation is explained and what extensions\r\nshould be made. It is described how task variations are implemented with an ANT-script.\r\nAlso some computer graphics algorithms are evaluated on how well they would perform in the\r\nframework and it is explained how they are implemented or why not. The major topics are\r\nWeiler-Atherton clipping and why it is problematic, different methods for backface culling and\r\nthe Oren-Nayar and Cook-Torrance shading models. The last chapter explains the new transparency\r\nfeature that has been implemented in detail and why order independent transparency\r\n(OIT) has been chosen over BSP-Trees including a extensive comparisons.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "logo",
            "filetitle": "logo",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 185,
            "name": "WINKLER-2013-AMO-logo.png",
            "type": "image/png",
            "size": 62018,
            "path": "Publication:WINKLER-2013-AMO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1127
        ],
        "date_start": "2013-10-11",
        "matrikelnr": "0929255",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "logo",
                "filetitle": "logo",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 185,
                "name": "WINKLER-2013-AMO-logo.png",
                "type": "image/png",
                "size": 62018,
                "path": "Publication:WINKLER-2013-AMO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-logo:thumb{{size}}.png"
            },
            {
                "description": "Thesis",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WINKLER-2013-AMO-Thesis.pdf",
                "type": "application/pdf",
                "size": 936442,
                "path": "Publication:WINKLER-2013-AMO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/WINKLER-2013-AMO-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WINKLER-2013-AMO/",
        "__class": "Publication"
    },
    {
        "id": "CORNEL-2014-AFRS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis of Forced Random Sampling",
        "date": "2014-10",
        "abstract": "Stochastic sampling is an indispensable tool in computer graphics which allows approximating complex functions and integrals in finite time. Applications which rely on stochastic sampling include ray tracing, remeshing, stippling and texture synthesis. In order to cover the sample domain evenly and without regular patterns, the sample distribution has to guarantee spatial uniformity without regularity and is said to have blue-noise properties. Additionally, the samples need to be distributed according to an importance function such that the sample distribution satisfies a given sampling probability density function globally while being well distributed locally. The generation of optimal blue-noise sample distributions is expensive, which is why a lot of effort has been devoted to finding fast approximate blue-noise sampling algorithms. Most of these algorithms, however, are either not applicable in real time or have weak blue-noise properties.\r\n\r\nForced Random Sampling is a novel algorithm for real-time importance sampling. Samples are generated by thresholding a precomputed dither matrix with the importance function. By the design of the matrix, the sample points show desirable local distribution properties and are adapted to the given importance. In this thesis, an efficient and parallelizable implementation of this algorithm is proposed and analyzed regarding its sample distribution quality and runtime performance. The results are compared to both the qualitative optimum of blue-noise sampling and the state of the art of real-time importance sampling, which is Hierarchical SampleWarping. With this comparison, it is investigated whether Forced Random Sampling is competitive with current sampling algorithms.\r\n\r\nThe analysis of sample distributions includes several discrepancy measures and the sample density to evaluate their spatial properties as well as Fourier and differential domain analyses to evaluate their spectral properties. With these established methods, it is shown that Forced Random Sampling generates samples with approximate blue-noise properties in real time. Compared to the state of the art, the proposed algorithm is able to generate samples of higher quality with less computational effort and is therefore a valid alternative to current importance sampling algorithms.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 255,
            "image_height": 128,
            "name": "CORNEL-2014-AFRS-image.jpg",
            "type": "image/jpeg",
            "size": 13173,
            "path": "Publication:CORNEL-2014-AFRS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            877
        ],
        "diploma_examina": "2014-10-07",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "global illumination",
            "Poisson disk sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 255,
                "image_height": 128,
                "name": "CORNEL-2014-AFRS-image.jpg",
                "type": "image/jpeg",
                "size": 13173,
                "path": "Publication:CORNEL-2014-AFRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CORNEL-2014-AFRS-thesis.pdf",
                "type": "application/pdf",
                "size": 8921300,
                "path": "Publication:CORNEL-2014-AFRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/CORNEL-2014-AFRS-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/CORNEL-2014-AFRS/",
        "__class": "Publication"
    },
    {
        "id": "Fuerst_2014_BSc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Control of Newtonian Fluids With Minimum Force Impact Using the Navier-Stokes Equations",
        "date": "2014-10",
        "abstract": "This thesis introduces a novel approach to control smoke towards a target density distribution with minimal force impact to reduce unnatural behavior and unconvincing visual results. The first part consists of an introduction to fluid simulations and fluid control followed by an exploration of previous research in the field of Computational fluid dynamics, especially in Computer Graphics. After that, the Navier-Stokes equations are introduced and a short overview on how to solve them is given. The last part describes our approach to controlling smoke based on biased diffusion and long-range force and shows the results of this research. Based on a criterion, which has emerged from the numerical solution of diffusion, the algorithm decides whether to apply forces or use diffusion to distribute the smoke resulting in a great reduction of forces applied to the smoke. Results show that the smoke reaches the target density\r\nfaster and the motion is much less furious, which contributes to more natural results. Our algorithm is implemented in the open source animation software Blender and gives the artist access to smoke control parameters.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 444,
            "image_height": 538,
            "name": "Fuerst_2014_BSc-image.png",
            "type": "image/png",
            "size": 97173,
            "path": "Publication:Fuerst_2014_BSc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1106
        ],
        "supervisor": [
            193,
            1073
        ],
        "research_areas": [],
        "keywords": [
            "fluid simulation",
            "fluid control"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "code",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst_2014_BSc-code.zip",
                "type": "application/zip",
                "size": 36087673,
                "path": "Publication:Fuerst_2014_BSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-code.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 444,
                "image_height": 538,
                "name": "Fuerst_2014_BSc-image.png",
                "type": "image/png",
                "size": 97173,
                "path": "Publication:Fuerst_2014_BSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst_2014_BSc-thesis.pdf",
                "type": "application/pdf",
                "size": 2402210,
                "path": "Publication:Fuerst_2014_BSc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/Fuerst_2014_BSc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Fuerst_2014_BSc/",
        "__class": "Publication"
    },
    {
        "id": "geyer_lukas-2014-bat",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume-aware Mesh Resampling",
        "date": "2014-10",
        "abstract": "Currently, in modeling there is a lot of manual work involved in reducing the number of vertices/triangles in geometry to balance efficiency vs. accuracy of the intended shape. Our aim is to automatically find an optimum for that, by resampling an input model, e.g. created by an artist.\n\nWe need to process the geometry of a model discretely (as in points/triangles instead of a continuous boundary) for rendering it on the screen, animation or collision detection. Such models can be given by an explicit boundary (spline, triangle mesh) or implicitly by a signed distance function, e.g. defined at octree nodes, from 3D scanner data approximated by implicit surface reconstruction methods, such as Poisson.\n\nWe want to represent this boundary by as few points as possible while losing only as much detail as determined by a user-controlled parameter. We use a medial condition which adapts to local features of arbitrary size. This also permits us to drop connectivity (edges, triangles), so that the output becomes a point cloud. The parameter can control either the maximum deviation of the generated boundary to the input, or a point budget. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 444,
            "image_height": 449,
            "name": "geyer_lukas-2014-bat-image.jpg",
            "type": "image/jpeg",
            "size": 33555,
            "path": "Publication:geyer_lukas-2014-bat",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1140
        ],
        "date_end": "2014-02-28",
        "date_start": "2013-10-21",
        "matrikelnr": "1026408",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "sampling",
            "mesh",
            "modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 444,
                "image_height": 449,
                "name": "geyer_lukas-2014-bat-image.jpg",
                "type": "image/jpeg",
                "size": 33555,
                "path": "Publication:geyer_lukas-2014-bat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "geyer_lukas-2014-bat-thesis.pdf",
                "type": "application/pdf",
                "size": 1106279,
                "path": "Publication:geyer_lukas-2014-bat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/geyer_lukas-2014-bat-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/geyer_lukas-2014-bat/",
        "__class": "Publication"
    },
    {
        "id": "fmistelbauer-2014-adict",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "ActiveDICOM - Enhancing Static Medical Images with Interaction",
        "date": "2014-09",
        "abstract": "Digital Imaging and Communications in Medicine (DICOM) is a well-establish standard in medical imaging, consisting not only of image data, but sensitive data such as patient and examination information. Nowadays, although having a large variety of advanced rendering techniques available, DICOM images are still generated and sent to the Picture Archiving and Communication System (PACS). These images are then fetched by the medical doctor from a workstation and used for medical reporting. The user has no other possibilities than being able to change the windowing function for displaying the DICOM images. If a certain region is of special interest, either images of the whole data set are generated or have to be specifically requested. Both approaches consume a considerable amount of time. Secondly, the image generation on demand remains pending until done by the responsible assistant. Despite supporting a broad range of features and being widely applied, DICOM images remain static. We propose a visualization mapping language, Active DICOM Script (ADICT), which enhances conventional DICOM with interactive elements by combining heterogeneous data, interaction and visualization. Such DICOM images are then called Active Digital Imaging and Communications in Medicine (ActiveDICOM).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 879,
            "image_height": 654,
            "name": "fmistelbauer-2014-adict-.png",
            "type": "image/png",
            "size": 62455,
            "path": "Publication:fmistelbauer-2014-adict",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1234,
            869,
            166
        ],
        "booktitle": "Posters at Eurographics Workshop on Visual Computing for Biology and Medicine",
        "date_from": "2014-09-03",
        "date_to": "2014-09-05",
        "event": "Eurographics Workshop on Visual Computing for Biology and Medicine",
        "location": "Vienna, Austria",
        "series": "EG VCBM 2014",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 879,
                "image_height": 654,
                "name": "fmistelbauer-2014-adict-.png",
                "type": "image/png",
                "size": 62455,
                "path": "Publication:fmistelbauer-2014-adict",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-:thumb{{size}}.png"
            },
            {
                "description": "The presented poster.",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fmistelbauer-2014-adict-poster.pdf",
                "type": "application/pdf",
                "size": 937046,
                "path": "Publication:fmistelbauer-2014-adict",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/fmistelbauer-2014-adict-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-adict/",
        "__class": "Publication"
    },
    {
        "id": "Gehrer_Daniel_CUI",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CellUnity an Interactive Tool for Illustrative Visualization of Molecular Reactions",
        "date": "2014-09",
        "abstract": "CellUnity is a tool for interactive visualization of molecular reactions using the Unity game engine. Current mesoscale visualizations commonly utilize the results of particle-based simulations, which account for spatial information of each single particle and are supposed to mimic a realistic behavior of the metabolites. However, this approach employs stochastic simulation methods which do not offer any control over the visualized output. CellUnity, on the other hand, exploits the results of deterministic simulations which are purely quantitative and in that way offering full user control over the spatial locations of the reactions. The user is able to trigger reactions on demand instead of having to wait or search for a specific type of reaction event, while the quantities of displayed molecules would still be in accordance with real scientific data. CellUnity exploits the simulation results in real time and allows the user to freely modify simulation parameters while the system is running. The tool was realized in Unity, a cross-platform game engine that also comprises a free version with adequate functionality and therefore enables easy deployment of the project.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 857,
            "image_height": 478,
            "name": "Gehrer_Daniel_CUI-image.png",
            "type": "image/png",
            "size": 216700,
            "path": "Publication:Gehrer_Daniel_CUI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1194
        ],
        "matrikelnr": "1125229 ",
        "supervisor": [
            171,
            1189
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bakk Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gehrer_Daniel_CUI-Bakk Thesis.pdf",
                "type": "application/pdf",
                "size": 1613208,
                "path": "Publication:Gehrer_Daniel_CUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-Bakk Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 857,
                "image_height": 478,
                "name": "Gehrer_Daniel_CUI-image.png",
                "type": "image/png",
                "size": 216700,
                "path": "Publication:Gehrer_Daniel_CUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/Gehrer_Daniel_CUI-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Gehrer_Daniel_CUI/",
        "__class": "Publication"
    },
    {
        "id": "arikan-2014-pcvis",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Large-Scale Point-Cloud Visualization through Localized Textured Surface Reconstruction",
        "date": "2014-09",
        "abstract": "In this paper, we introduce a novel scene representation for the visualization of large-scale point clouds accompanied by a set of high-resolution photographs. Many real-world applications deal with very densely sampled point-cloud data, which are augmented with photographs that often reveal lighting variations and inaccuracies in registration. Consequently, the high-quality\nrepresentation of the captured data, i.e., both point clouds and photographs together, is a challenging and time-consuming task. We propose a two-phase approach, in which the first (preprocessing) phase generates multiple overlapping surface patches and\nhandles the problem of seamless texture generation locally for each patch. The second phase stitches these patches at render-time to produce a high-quality visualization of the data. As a result of the proposed localization of the global texturing problem, our algorithm is more than an order of magnitude faster than equivalent mesh-based texturing techniques. Furthermore, since\nour preprocessing phase requires only a minor fraction of the whole dataset at once, we provide maximum flexibility when dealing with growing datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 5356,
            "image_height": 4850,
            "name": "arikan-2014-pcvis-image.jpg",
            "type": "image/jpeg",
            "size": 6686806,
            "path": "Publication:arikan-2014-pcvis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            865,
            799,
            614,
            356,
            193
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization & Computer Graphics",
        "number": "9",
        "pages_from": "1280",
        "pages_to": "1292",
        "volume": "20",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "image-based rendering",
            "large-scale models",
            "color",
            "surface representation"
        ],
        "weblinks": [
            {
                "href": "http://doi.ieeecomputersociety.org/10.1109/TVCG.2014.2312011",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Acknowledgments datasets",
                "filetitle": "ackn",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "arikan-2014-pcvis-ackn.rtf",
                "type": "text/rtf",
                "size": 597,
                "path": "Publication:arikan-2014-pcvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-ackn.rtf",
                "thumb_image_sizes": []
            },
            {
                "description": "[13 MB]",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "arikan-2014-pcvis-draft.pdf",
                "type": "application/pdf",
                "size": 13594589,
                "path": "Publication:arikan-2014-pcvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 5356,
                "image_height": 4850,
                "name": "arikan-2014-pcvis-image.jpg",
                "type": "image/jpeg",
                "size": 6686806,
                "path": "Publication:arikan-2014-pcvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-image:thumb{{size}}.png"
            },
            {
                "description": "[33 MB]",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "arikan-2014-pcvis-video.avi",
                "type": "video/x-msvideo",
                "size": 33911454,
                "path": "Publication:arikan-2014-pcvis",
                "preview_name": "arikan-2014-pcvis-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 34237,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/arikan-2014-pcvis-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/arikan-2014-pcvis/",
        "__class": "Publication"
    },
    {
        "id": "steiner-2014-da",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Structure-aware shape manipulation",
        "date": "2014-09",
        "abstract": "In computer graphics one of the most expensive fields is content creation. While today the rendering part is highly sophisticated and automated, 3d modeling is still a very challenging task due to the steep learning curve and the amount of work time required. Although there are a lot of free model databases available in the internet, this models are in general not perfectly suited to the customers needs and have to be adapted.\n\nStructure-aware shape manipulation deals with the complexity of creating variations, or adapting a given input model while retaining global features like symmetry and connectivity. The majority of existing algorithms only try to preserve structural features,  or have very limited support for adapting the overall structure of the model to changes made by the user. The lack of complex structural changes in the model, for example allowing a wheel to change the number of strokes, limits the number of possible variations this algorithms can generate. \n\nThe aim of this thesis is to exploit the possibilities of using curves and curve spaces to find a better representation of the input model, allowing for complex structural adaptions. In addition to this the usefulness of a multi-layered graphs to represent the model and it's constraints should be investigated.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 682,
            "image_height": 441,
            "name": "steiner-2014-da-image.png",
            "type": "image/png",
            "size": 185956,
            "path": "Publication:steiner-2014-da",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1120
        ],
        "date_end": "2014",
        "date_start": "2014-01-13",
        "matrikelnr": "0825391",
        "supervisor": [
            193,
            844
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            " structure-aware model manipulation",
            "modelling",
            "cg"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 682,
                "image_height": 441,
                "name": "steiner-2014-da-image.png",
                "type": "image/png",
                "size": 185956,
                "path": "Publication:steiner-2014-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "steiner-2014-da-poster.pdf",
                "type": "application/pdf",
                "size": 1661123,
                "path": "Publication:steiner-2014-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "steiner-2014-da-thesis.pdf",
                "type": "application/pdf",
                "size": 12027877,
                "path": "Publication:steiner-2014-da",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/steiner-2014-da-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/steiner-2014-da/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_DAC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deriving Anatomical Context from 4D Ultrasound",
        "date": "2014-09",
        "abstract": "Real-time three-dimensional (also known as 4D) ultrasound imaging using matrix array probes has the potential to create large-volume information of entire organs such as the liver without external tracking hardware. This\ninformation can in turn be placed into the context of a CT or MRI scan of the same patient. However for such an approach many image processing challenges need to be overcome and sources of error addressed, including\nreconstruction drift, anatomical deformations, varying appearance of anatomy, and imaging artifacts. In this work,we present a fully automatic system including robust image-based ultrasound tracking, a novel learning-based global initialization of the anatomical context, and joint mono- and multi-modal registration. In an evaluation on 4D US sequences and MRI scans of eight volunteers we achieve automatic reconstruction and registration without any user interaction, assess the registration errors based on physician-defined landmarks, and demonstrate realtime tracking of free-breathing sequences.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 279,
            "image_height": 140,
            "name": "Viola_Ivan_DAC-image.jpg",
            "type": "image/jpeg",
            "size": 6435,
            "path": "Publication:Viola_Ivan_DAC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1199,
            1200,
            1201,
            171,
            1159,
            1161,
            1202,
            677
        ],
        "booktitle": "Proceedings of EG VCBM14",
        "date_from": "2014-09-04",
        "date_to": "2014-09-05",
        "editor": "Ivan Viola and Katja Buehler and Timo Ropinski",
        "event": "4th Eurographics Workshop on Visual Computing for Biology and Medicine",
        "isbn": "978-3-905674-62-0",
        "issn": "2070-5778",
        "lecturer": [
            1199
        ],
        "location": "Vienna, Austria",
        "note": "The electronic version of the proceedings is available from the Eurographics Digital Library at http://diglib.eg.org",
        "pages_from": "173",
        "pages_to": "180",
        "publisher": "Eurographics Association",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 279,
                "image_height": 140,
                "name": "Viola_Ivan_DAC-image.jpg",
                "type": "image/jpeg",
                "size": 6435,
                "path": "Publication:Viola_Ivan_DAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_DAC-Paper.pdf",
                "type": "application/pdf",
                "size": 2561391,
                "path": "Publication:Viola_Ivan_DAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/Viola_Ivan_DAC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_DAC/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_UVP",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Ultrasound Visualization Pipeline",
        "date": "2014-09",
        "abstract": "Radiology is one of the main tools in modern medicine. A numerous set of deceases, ailments and treatments utilize accurate images of the patient. Ultrasound is one of the most frequently used imaging modality in medicine. The high spatial resolution, its interactive nature and non-invasiveness makes it the first choice in many examinations. Image interpretation is one of ultrasound’s main challenges. Much training is required to obtain a confident skill level in ultrasound-based diagnostics. State-of-the-art graphics techniques is needed to provide meaningful visualizations of ultrasound in real-time. In this paper we present the process-pipeline for ultrasound visualization, including an overview of the tasks performed in the specific steps. To provide an insight into the trends of ultrasound visualization research, we have selected a set of significant publications and divided them into a technique-based taxonomy covering the topics pre-processing, segmentation, registration, rendering and augmented reality. For the different technique types we discuss the difference between ultrasound-based techniques and techniques for other modalities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 429,
            "image_height": 370,
            "name": "Viola_Ivan_UVP-.jpg",
            "type": "image/jpeg",
            "size": 73185,
            "path": "Publication:Viola_Ivan_UVP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1007,
            896,
            1220,
            1161,
            1221,
            951,
            171
        ],
        "address": "http://link.springer.com/chapter/10.1007%2F978-1-4471-6497-5_24",
        "booktitle": "Scientific Visualization",
        "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization",
        "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen",
        "isbn": "978-1-4471-6496-8",
        "pages_from": "283",
        "pages_to": "303",
        "publisher": "Springer London",
        "series": "Mathematics and Visualization",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 429,
                "image_height": 370,
                "name": "Viola_Ivan_UVP-.jpg",
                "type": "image/jpeg",
                "size": 73185,
                "path": "Publication:Viola_Ivan_UVP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_UVP-paper.pdf",
                "type": "application/pdf",
                "size": 6903114,
                "path": "Publication:Viola_Ivan_UVP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/Viola_Ivan_UVP-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_UVP/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_VDP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility-Driven Processing of Streaming Volume Data",
        "date": "2014-09",
        "abstract": "In real-time volume data acquisition, such as 4D ultrasound, the raw data is challenging to visualize directly\nwithout additional processing. Noise removal and feature detection are common operations, but many methods\nare too costly to compute over the whole volume when dealing with live streamed data. In this paper, we propose\na visibility-driven processing scheme for handling costly on-the-fly processing of volumetric data in real-time. In contrast to the traditional visualization pipeline, our scheme utilizes a fast computation of the potentially visible subset of voxels which significantly reduces the amount of data required to process. As filtering operations modify the data values which may affect their visibility, our method for visibility-mask generation ensures that the set of elements deemed visible does not change after processing. Our approach also exploits the visibility information for the storage of intermediate values when multiple operations are performed in sequence, and can therefore significantly reduce the memory overhead of longer filter pipelines. We provide a thorough technical evaluation of the approach and demonstrate it on several typical scenarios where on-the-fly processing is required.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 617,
            "image_height": 572,
            "name": "Viola_Ivan_VDP-image.jpg",
            "type": "image/jpeg",
            "size": 17438,
            "path": "Publication:Viola_Ivan_VDP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            896,
            1007,
            171,
            161
        ],
        "booktitle": "Proceedings of EG VCBM 2014",
        "date_from": "2014-09-04",
        "date_to": "2014-09-05",
        "editor": "Ivan Viola and Katja Buehler and Timo Ropinski",
        "event": "4th EG Workshop on Visual Computing and Biology Medicine",
        "isbn": "978-3-905674-62-0",
        "issn": "2070-5778",
        "lecturer": [
            1304
        ],
        "location": "Vienna, Austria",
        "pages_from": "127",
        "pages_to": "136",
        "publisher": "Eurographics Association",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 617,
                "image_height": 572,
                "name": "Viola_Ivan_VDP-image.jpg",
                "type": "image/jpeg",
                "size": 17438,
                "path": "Publication:Viola_Ivan_VDP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Media Player",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 512,
                "name": "Viola_Ivan_VDP-Media Player.wmv",
                "type": "application/octet-stream",
                "size": 12664687,
                "path": "Publication:Viola_Ivan_VDP",
                "preview_name": "Viola_Ivan_VDP-Media Player:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 11329,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Media Player:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_VDP-Paper.pdf",
                "type": "application/pdf",
                "size": 12294247,
                "path": "Publication:Viola_Ivan_VDP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/Viola_Ivan_VDP-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_VDP/",
        "__class": "Publication"
    },
    {
        "id": "ZAU14",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Unity OPC Importer and Renderer",
        "date": "2014-09",
        "abstract": "The goal of this bachelor thesis is to implement an OPC importer for the Unity 3D engine. OPCs should be rendered as Unity Terrain Game Objects. In a first approach a simple CPU based tessellation will be implemented to realise LODs. The final version will use tessellation shading. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1365,
            "image_height": 598,
            "name": "ZAU14-image.jpg",
            "type": "image/jpeg",
            "size": 77707,
            "path": "Publication:ZAU14",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1176
        ],
        "date_end": "2014-06-30",
        "date_start": "2014-03-01",
        "matrikelnr": "0925357",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "Tesselation Shading",
            "Ordered Point Clouds",
            "Unity 3D"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1365,
                "image_height": 598,
                "name": "ZAU14-image.jpg",
                "type": "image/jpeg",
                "size": 77707,
                "path": "Publication:ZAU14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ZAU14-thesis.pdf",
                "type": "application/pdf",
                "size": 2113340,
                "path": "Publication:ZAU14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/ZAU14-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ZAU14/",
        "__class": "Publication"
    },
    {
        "id": "Langer_Edith_IR1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image Retrieval on Co-registered Confocal Microscopy Image Collections",
        "date": "2014-08-26",
        "abstract": "Biologists at the Institute of Molecular Pathology (IMP) in Vienna scan brains of the species Drosophila  melanogaster  with  a  confocal  microscope  to  find  relations  between  genes,  brain structure and behavior. The database contains now more than 40.000 volumetric images, which makes it time-consuming to search for an image of interest. For biologists it would be very help-ful to have a method which can be used to search for specific images and works on the perceptual level of content.\nThe aim of this thesis is to develop a Content Based Image Retrieval (CBIR) method customized for 3D fly brain images. A biologist can choose an image which shows interesting gene expressions and as result images which are visually similar should be retrieved.  Exhaustive lit-\nerature research shows that in the biological field nothing comparable exists.  However, CBIR plays an important role in the medical domain, which deals also with 3D images and therefore\npublications in this area can be seen as related.\nThe voxelwise comparison of two images would be on the one hand computationally expensive and on the other hand not practicable due to image registration errors and anatomical variations of neuronal structures. Creating maximum intensity projections from three directions\nand applying a principal component analysis on the gray values overcomes the before mentioned drawbacks and delivers satisfying results.\nThe fly brain can be divided into regions, so-called neuropils.  The proposed method works on the basis of neuropils. This has, among others, the advantage that not only a global similarity can  be  computed,  but  also  a  comparison  of  images  based  on  only  some  of  the  neuropils  is possible.\nAn extensive evaluation of the developed method is given including a parameter space exploration.  For example, different lengths of the feature vectors, which describe a fly brain in a lower dimensional space, are tried and also different distance measures are tested.  The evaluation shows satisfying results and that the method facilitates the work of biologists when they are looking for similar images to create a hypothesis about the connection of genes and behavior. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 328,
            "image_height": 163,
            "name": "Langer_Edith_IR1-image.jpg",
            "type": "image/jpeg",
            "size": 10316,
            "path": "Publication:Langer_Edith_IR1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1136
        ],
        "date_end": "2014-08-26",
        "date_start": "2013-08-26",
        "matrikelnr": "0725806",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 328,
                "image_height": 163,
                "name": "Langer_Edith_IR1-image.jpg",
                "type": "image/jpeg",
                "size": 10316,
                "path": "Publication:Langer_Edith_IR1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Langer_Edith_IR1-master thesis.pdf",
                "type": "application/pdf",
                "size": 14045224,
                "path": "Publication:Langer_Edith_IR1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/Langer_Edith_IR1-master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Langer_Edith_IR1/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2014-GTOM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gaze-To-Object Mapping During Visual Search in 3D Virtual Environments ",
        "date": "2014-08",
        "abstract": "Stimuli obtained from highly dynamic 3D virtual environments and synchronous eye-tracking data are commonly used by algorithms that strive to correlate gaze to scene objects, a process referred to as Gaze-To-Object Mapping (GTOM). We propose to address this problem with a probabilistic approach using Bayesian inference. The desired result of the inference is a predicted probability density function (PDF) specifying for each object in the scene a probability to be attended by the user. To evaluate the quality of a predicted attention PDF, we present a methodology to assess the information value (i.e., likelihood) in the predictions of dierent approaches that can be used to infer object attention. To this end, we propose an experiment based on a visual search task which allows us to determine the object of attention at a certain point in time under controlled conditions.\nWe perform this experiment with a wide range of static and dynamic visual scenes to obtain a ground-truth evaluation data set, allowing us to assess GTOM techniques in a set of 30 particularly challenging cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 703,
            "image_height": 314,
            "name": "bernhard-2014-GTOM-thumnail.png",
            "type": "image/png",
            "size": 151264,
            "path": "Publication:bernhard-2014-GTOM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            731,
            779,
            193
        ],
        "date_from": "2014-08-08",
        "date_to": "2014-08-09",
        "event": "ACM Symposium on Applied Perception (SAP 2014)",
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception (Special Issue SAP 2014)",
        "lecturer": [
            660
        ],
        "location": "Vancouver, Canada",
        "number": "3",
        "pages_from": "14:1",
        "pages_to": "14:17",
        "volume": "11",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "object-based attention",
            "eye-tracking",
            "virtual environments",
            "visual attention"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?doid=2663596.2644812",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2014-GTOM-draft.pdf",
                "type": "application/pdf",
                "size": 9514669,
                "path": "Publication:bernhard-2014-GTOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 703,
                "image_height": 314,
                "name": "bernhard-2014-GTOM-thumnail.png",
                "type": "image/png",
                "size": 151264,
                "path": "Publication:bernhard-2014-GTOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-thumnail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "bernhard-2014-GTOM-video.mp4",
                "type": "video/mp4",
                "size": 29837759,
                "path": "Publication:bernhard-2014-GTOM",
                "preview_name": "bernhard-2014-GTOM-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 12852,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/bernhard-2014-GTOM-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Mofa",
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-GTOM/",
        "__class": "Publication"
    },
    {
        "id": "preiner2014clop",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Continuous Projection for Fast L1 Reconstruction",
        "date": "2014-08",
        "abstract": "With better and faster acquisition devices comes a demand for fast robust reconstruction algorithms, but no L1-based technique has been fast enough for online use so far. In this paper, we present a novel continuous formulation of the weighted locally optimal projection (WLOP) operator based on a Gaussian mixture describing the input point density. Our method is up to 7 times faster than an optimized GPU implementation of WLOP, and achieves interactive frame rates for moderately sized point clouds. We give a comprehensive quality analysis showing that our continuous operator achieves a generally higher reconstruction quality than its discrete counterpart. Additionally, we show how to apply our continuous formulation to spherical mixtures of normal directions, to also achieve a fast robust normal reconstruction.\n\nProject Page: https://www.cg.tuwien.ac.at/~preiner/projects/clop/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1080,
            "image_height": 810,
            "preview_image_width": 640,
            "preview_image_height": 480,
            "name": "preiner2014clop-thumbnail.png",
            "type": "image/png",
            "size": 738367,
            "path": "Publication:preiner2014clop",
            "preview_name": "preiner2014clop-thumbnail:preview.png",
            "preview_type": "image/png",
            "preview_size": 347267,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799,
            326,
            865,
            1184,
            193
        ],
        "date_from": "2014-08-10",
        "date_to": "2014-08-14",
        "doi": "10.1145/2601097.2601172",
        "event": "ACM SIGGRAPH 2014",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics (Proc. of ACM SIGGRAPH 2014)",
        "lecturer": [
            799
        ],
        "location": "Vancouver, Canada",
        "number": "4",
        "pages_from": "47:1",
        "pages_to": "47:13",
        "volume": "33",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point set",
            "Gaussian mixture",
            "Hierarchical EM",
            "upsampling",
            "dynamic reconstruction",
            "L1 reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "compressed quality (7,8 MB)",
                "filetitle": "paper_small",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner2014clop-paper_small.pdf",
                "type": "application/pdf",
                "size": 8222514,
                "path": "Publication:preiner2014clop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper_small.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper_small:thumb{{size}}.png"
            },
            {
                "description": "high quality (60 MB)",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner2014clop-paper.pdf",
                "type": "application/pdf",
                "size": 62896920,
                "path": "Publication:preiner2014clop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-paper:thumb{{size}}.png"
            },
            {
                "description": "Siggraph 2014 presentation slides",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner2014clop-slides.pptx",
                "type": "application/zip",
                "size": 12241698,
                "path": "Publication:preiner2014clop",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1080,
                "image_height": 810,
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "preiner2014clop-thumbnail.png",
                "type": "image/png",
                "size": 738367,
                "path": "Publication:preiner2014clop",
                "preview_name": "preiner2014clop-thumbnail:preview.png",
                "preview_type": "image/png",
                "preview_size": 347267,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-thumbnail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "preiner2014clop-video.mp4",
                "type": "video/mp4",
                "size": 78627076,
                "path": "Publication:preiner2014clop",
                "preview_name": "preiner2014clop-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 74242,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/preiner2014clop-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/preiner2014clop/",
        "__class": "Publication"
    },
    {
        "id": "kolesar-ivan-2014-polymers",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrating Polymerization using Three-level Model Fusion",
        "date": "2014-07",
        "abstract": "Research in cell biology is steadily contributing new knowledge about many\ndi?erent aspects of physiological processes like polymerization, both with respect to the involved molecular structures as well as their related function. Illustrations of the spatio-temporal development of such processes are not only used in biomedical education, but also can serve scientists as an additional platform for in-silico experiments. In this paper, we contribute a new, three-level modeling approach to illustrate physiological processes from the class of polymerization at di?erent time scales. We integrate physical and empirical modeling, according to which approach suits the di?erent involved levels of detail best, and we additionally enable a simple form of interactive steering while the process is illustrated. We demonstrate the suitability of our approach in the context of several polymerization processes and report from a ?rst evaluation with domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 511,
            "image_height": 433,
            "name": "kolesar-ivan-2014-polymers-image.jpg",
            "type": "image/jpeg",
            "size": 26704,
            "path": "Publication:kolesar-ivan-2014-polymers",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1192,
            1143,
            171,
            161,
            1190,
            176
        ],
        "booktitle": "Proceedings of IEEE BioVis 2014",
        "date_from": "2014-07-11",
        "date_to": "2014-07-12",
        "lecturer": [
            1192
        ],
        "location": "Boston, USA",
        "organization": "4th Symposium on Biological Data Visualization (in Conjunction with the International Conference on Intelligent Systems for Molecular Biology (ISMB 2014)) ",
        "pages_from": "1",
        "pages_to": "22",
        "publisher": "IEEE Digital Library",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 511,
                "image_height": 433,
                "name": "kolesar-ivan-2014-polymers-image.jpg",
                "type": "image/jpeg",
                "size": 26704,
                "path": "Publication:kolesar-ivan-2014-polymers",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kolesar-ivan-2014-polymers-paper.pdf",
                "type": "application/pdf",
                "size": 1642885,
                "path": "Publication:kolesar-ivan-2014-polymers",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/kolesar-ivan-2014-polymers-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/kolesar-ivan-2014-polymers/",
        "__class": "Publication"
    },
    {
        "id": "Trautner_Thomas_2014_VAE",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Archaeological Excavations based on Unity3D",
        "date": "2014-07",
        "abstract": "As part of an archaeological excavation huge amounts of different types of data, for example laser scan point-clouds, triangulated surface meshes, pictures or drawings of finds, find attributes like location, age, condition and description or layers of excavated earth are collected. This detailed documentation is important to give archaeologists the possibility to analyze the collected data at a later date since the find spot might not be accessible anymore. Unfortunately all the accumulated data is separately saved and consequently complex to explore.\r\n\r\nTherefore we present a novel solution that allows the user to digitally explore a virtual archaeological excavation in real-time. With our approach we can not only visualize\r\ndifferent types of textured meshes and finds but allow the user to draw on surfaces to mark areas of certain interest that need further exploration, enable explosion views to investigate composition of different layers of earth and arbitrary slicing of the threedimensional mesh structure to better visualize cross-sections and an easier tracing of accumulation points of finds. The result of this work is a new powerful tool that will support the analysis of future excavations. All results and the implementation itself will be presented as part of this thesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1196
        ],
        "supervisor": [
            205,
            237,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trautner_Thomas_2014_VAE-Thesis.pdf",
                "type": "application/pdf",
                "size": 12063342,
                "path": "Publication:Trautner_Thomas_2014_VAE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/Trautner_Thomas_2014_VAE-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/Trautner_Thomas_2014_VAE-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Trautner_Thomas_2014_VAE/",
        "__class": "Publication"
    },
    {
        "id": "Moellinger_Christian_IDE2",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Data Editing of Time-Dependent Data in Visual Analysis",
        "date": "2014-06-28",
        "abstract": "In the so called information age, data is widely available. Sources include data collection as a byproduct (e.g., log files on a server, or as a more concrete example, movement profiles of smartphone users) and data generation for particular purposes (e.g., simulation runs, data gathered from sensors). To benefit from\nthis huge amount of available data, the data must be analyzed and relevant information must be extracted.\nVisual Analytics has become an important approach to identify and extract relevant information from data, especially with big data sets.\nHowever, data can also contain erroneous values for different reasons, e.g., caused by defect sensors. In data warehousing projects, transforming and edit the data into a usable state can account up for 80% of the cost and the development time.\nThis diploma thesis focuses on time-dependent data and presents an extension for the existing visual\nanalytics framework VISPLORE, to support the user in the process of data editing. Using plausibility rules, the user can define data checks and imputation strategies. Three different overviews, a data-based overview, a group-based overview, and a rule-based overview provide insight into the structure of implausible data values and the defined plausibility rules. Implausible values can be imputed using the\ndefined imputation strategies and existing visualization techniques are extended to enable the user getting an overview of the modified values. Real-world data is used to demonstrate two use-cases. Limitations of the provided overviews, e.g.,  scalability for a large number of plausibility rules, are discussed and ideas\nfor future work are outlined. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 491,
            "image_height": 278,
            "name": "Moellinger_Christian_IDE2-image.jpg",
            "type": "image/jpeg",
            "size": 34091,
            "path": "Publication:Moellinger_Christian_IDE2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            859
        ],
        "date_end": "2014-06-28",
        "date_start": "2014-06-28",
        "matrikelnr": "0725979",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 491,
                "image_height": 278,
                "name": "Moellinger_Christian_IDE2-image.jpg",
                "type": "image/jpeg",
                "size": 34091,
                "path": "Publication:Moellinger_Christian_IDE2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "master thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Moellinger_Christian_IDE2-master thesis.pdf",
                "type": "application/pdf",
                "size": 7676771,
                "path": "Publication:Moellinger_Christian_IDE2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/Moellinger_Christian_IDE2-master thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Moellinger_Christian_IDE2/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_UPS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Guest editorial—Uncertainty and parameter space analysis in visualization",
        "date": "2014-06",
        "abstract": "Within the past decades visualization advanced to a powerful means of exploring and analyzing data. Recent developments in both hard- and software contributed to previously unthinkable evaluations and visualizations of data with strongly increasing sizes and levels of complexity.\n\nProviding just insight into available data of a problem seems not to be sufficient anymore: Uncertainty and parameter space analyses in visualization are becoming more prevalent and may be found in astronomic, (bio)-medical, industrial, and engineering applications. The major goal is to find out, at which stage of the pipeline - from data acquisition to the final rendering of the output image - how much uncertainty is introduced and consequently how the desired result (e.g., a dimensional measurement feature) is affected. Therefore effective methods and techniques are required by domain specialists, which help to understand how data is generated, how reliable is the generated data, and where and why data is uncertain.\n\nFurthermore, as the problems to investigate are becoming increasingly complex, also finding suitable algorithms providing the desired solution tends to be more difficult. Additional questions may arise, e.g., how does a slight parameter change modify the result, how stable is a parameter, in which range is a parameter stable or which parameter set is optimal for a specific problem. Metaphorically speaking, an algorithm for solving a problem may be seen as finding a path through some rugged terrain (the core problem) ranging from the high grounds of theory to the haunted swamps of heuristics. There are many different paths through this terrain with different levels of comfort, length, and stability. Finding all possible paths corresponds in our case to doing an analysis of all possible parameters of a problem solving algorithm, which yields a typically multi-dimensional parameter space. This parameter space allows for an analysis of the quality and stability of a specific parameter set. In many cases of conventional visualization approaches the issues of uncertainty and parameter space analyses are neglected. For a long time, uncertainty - if visualized at all - used to be depicted as blurred data. But in most cases the uncertainty in the base data is not considered at all and just the quantities of interest are calculated. And even to calculate these quantities of interest, too often an empirically found parameter set is used to parameterize the underlying algorithms without exploring its sensitivity to changes and without exploring the whole parameter space to find the global or a local optimum.\n\nThis tutorial aims to open minds and to look at our data and the parameter sets of our algorithms with a healthy skepticism. In the tutorial we combine uncertainty visualization and parameter space analyses which we believe is essential for the acceptance and applicability of future algorithms and techniques. The tutorial provides six sessions starting with an overview of uncertainty visualization including a historical perspective, uncertainty modeling and statistical visualization. The second part of the tutorial will be dedicated to structural uncertainty, parameter space analysis, industrial applications of uncertainty visualization and an outlook in this domain. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            161,
            166
        ],
        "journal": "Computer & Graphics",
        "pages_from": "A1",
        "pages_to": "A2",
        "volume": "41",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0097849314000375",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_UPS/",
        "__class": "Publication"
    },
    {
        "id": "hecher-2014-MH",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparative Perceptual Study of Soft Shadow Algorithms",
        "date": "2014-06",
        "abstract": "We performed a perceptual user study of algorithms that approximate soft shadows in real time. Although a huge body of soft-shadow algorithms have been proposed, to our knowledge this is the first methodical study for comparing different real-time shadow algorithms with respect to their plausibility and visual appearance. We evaluated soft-shadow properties like penumbra overlap with respect to their relevance to shadow perception in a systematic way, and we believe that our results can be useful to guide future shadow approaches in their methods of evaluation. In this study, we also capture the predominant case of an inexperienced user observing shadows without comparing to a reference solution, such as when watching a movie or playing a game. One important result of this experiment is to scientifically verify that real-time soft-shadow algorithms, despite having become physically based and very realistic, can nevertheless be intuitively distinguished from a correct solution by untrained users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 978,
            "image_height": 850,
            "name": "hecher-2014-MH-image.png",
            "type": "image/png",
            "size": 245534,
            "path": "Publication:hecher-2014-MH",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            779,
            660,
            326,
            452,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "number": "5",
        "pages_from": "5:1",
        "pages_to": "5:21",
        "volume": "11",
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "Perception Studies",
            "Soft Shadows"
        ],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/2620029",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hecher-2014-MH-draft.pdf",
                "type": "application/pdf",
                "size": 7731118,
                "path": "Publication:hecher-2014-MH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 978,
                "image_height": 850,
                "name": "hecher-2014-MH-image.png",
                "type": "image/png",
                "size": 245534,
                "path": "Publication:hecher-2014-MH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/hecher-2014-MH-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/hecher-2014-MH/",
        "__class": "Publication"
    },
    {
        "id": "Rautek_Peter_2014_TUC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards an Unbiased Comparison of CC, BCC, and FCC Lattices in Terms of Prealiasing",
        "date": "2014-06",
        "abstract": "In the literature on optimal regular volume sampling, the Body-Centered Cubic (BCC) lattice has been proven\r\nto be optimal for sampling spherically band-limited signals above the Nyquist limit. On the other hand, if the\r\nsampling frequency is below the Nyquist limit, the Face-Centered Cubic (FCC) lattice was demonstrated to be optimal in reducing the prealiasing effect. In this paper, we confirm that the FCC lattice is indeed optimal in this sense in a certain interval of the sampling frequency. By theoretically estimating the prealiasing error in a realistic range of the sampling frequency, we show that in other frequency intervals, the BCC lattice and even the traditional Cartesian Cubic (CC) lattice are expected to minimize the prealiasing. The BCC lattice is superior over the FCC lattice if the sampling frequency is not significantly below the Nyquist limit. Interestingly, if the original signal is drastically undersampled, the CC lattice is expected to provide the lowest prealiasing error. Additionally,\r\nwe give a comprehensible clarification that the sampling efficiency of the FCC lattice is lower than that of the BCC\r\nlattice. Although this is a well-known fact, the exact percentage has been erroneously reported in the literature.\r\nFurthermore, for the sake of an unbiased comparison, we propose to rotate the Marschner-Lobb test signal such that an undue advantage is not given to either lattice.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1195,
            233,
            488,
            166
        ],
        "date_from": "2014-06-09",
        "date_to": "2014-06-13",
        "event": "Euro Vis 2014",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1195
        ],
        "location": "Swansea, Wales, UK",
        "number": "3",
        "pages_from": "81",
        "pages_to": "90",
        "volume": "33",
        "research_areas": [],
        "keywords": [
            " Image representation—Volumetric",
            "Picture/Image Generation—Display algorit",
            "Categories and Subject Descriptors"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12364/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_TUC/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic-2014-ivm",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents ",
        "date": "2014-06",
        "abstract": "In this paper we propose a new type of a particle systems, tailored for illustrative visualization purposes, in particular for visualizing molecular reactions in biological networks. Previous visualizations of biochemical processes were exploiting the results of agent-based modeling. Such modeling aims at reproducing accurately the stochastic nature of molecular interactions. However, it is impossible to expect events of interest happening at a certain time and location, which is impractical for storytelling. To obtain the means of controlling molecular interactions, we propose to govern passive agents with an omniscient intelligence, instead of giving to the agents the freedom of initiating reaction autonomously. This makes it possible to generate illustrative animated stories that communicate the functioning of the molecular machinery. The rendering performance delivers for interactive framerates of massive amounts of data, based on the dynamic tessellation capabilities of modern graphics cards. Finally, we report an informal expert feedback we obtained from the potential users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1027,
            "image_height": 1027,
            "name": "lemuzic-2014-ivm-image.jpg",
            "type": "image/jpeg",
            "size": 399463,
            "path": "Publication:lemuzic-2014-ivm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            1143,
            1190,
            171
        ],
        "date_from": "2014-06-09",
        "date_to": "2014-06-13",
        "event": "EuroVis",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1189
        ],
        "location": "Swansea, Wales, UK",
        "note": "Article first published online: 12 JUL 2014",
        "number": "3",
        "pages_from": "141",
        "pages_to": "150",
        "volume": "33",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12370/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1027,
                "image_height": 1027,
                "name": "lemuzic-2014-ivm-image.jpg",
                "type": "image/jpeg",
                "size": 399463,
                "path": "Publication:lemuzic-2014-ivm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lemuzic-2014-ivm-paper.pdf",
                "type": "application/pdf",
                "size": 2888693,
                "path": "Publication:lemuzic-2014-ivm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "lemuzic-2014-ivm-video.mp4",
                "type": "video/mp4",
                "size": 288142406,
                "path": "Publication:lemuzic-2014-ivm",
                "preview_name": "lemuzic-2014-ivm-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 33186,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/lemuzic-2014-ivm-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic-2014-ivm/",
        "__class": "Publication"
    },
    {
        "id": "LUKSCH-2014-RTR",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Glossy Materials with Regular Sampling",
        "date": "2014-06",
        "abstract": "Rendering view-dependent, glossy surfaces to increase the realism in real-time applications is a computationally complex task, that can only be performed by applying some approximations—especially when immediate changes in the scene in terms of material settings and object placement are a necessity. The use of environment maps is a common approach to this problem, but implicates performance problems due to costly pre-filtering steps or expensive sampling. We, therefore, introduce a regular sampling scheme for environment maps that relies on an efficient MIP-map-based filtering step, and minimizes the number of necessary samples for creating a convincing real-time rendering of glossy BRDF materials.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659,
            216,
            804,
            678,
            193
        ],
        "date_from": "2014-06-10",
        "date_to": "2014-06-13",
        "event": "Computer Graphics International 2014",
        "issn": "0178-2789",
        "journal": "The Visual Computer",
        "lecturer": [
            659
        ],
        "location": "Sydney, Australia",
        "number": "6-8",
        "pages_from": "717",
        "pages_to": "727",
        "volume": "30",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering ",
            "BRDFs"
        ],
        "weblinks": [
            {
                "href": "http://link.springer.com/article/10.1007/s00371-014-0958-x",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "VRVis",
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/LUKSCH-2014-RTR/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2014-ama",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "InSpectr: Multi-Modal Exploration, Visualization, and Analysis of Spectral Data",
        "date": "2014-06",
        "abstract": "This paper addresses the increasing demand in industry for methods to analyze and visualize multimodal data involving a spectral modality. Two data modalities are used: high-resolution X-ray computed tomography (XCT) for structural characterization and low-resolution X-ray fluorescence (XRF) spectral data for elemental decomposition. We present InSpectr, an integrated tool for the interactive exploration and visual analysis of multimodal, multiscalar data. The tool has been designed around a set of tasks identified by domain experts in the fields of XCT and XRF. It supports registered single scalar and spectral datasets optionally coupled with element maps and reference spectra. InSpectr is instantiating various linked views for the integration of spatial and non-spatial information to provide insight into an industrial component’s structural and material composition: views with volume renderings of composite and individual 3D element maps visualize global material composition; transfer functions defined directly on the spectral data and overlaid pie-chart glyphs show elemental composition in 2D slice-views; a representative aggregated spectrum and spectra density histograms are introduced to provide a global overview in the spectral view. Spectral magic lenses, spectrum probing and elemental composition probing of points using a pie-chart view and a periodic table view aid the local material composition analysis. Two datasets are investigated to outline the usefulness of the presented techniques: a 3D virtually created phantom with a brass metal alloy and a real-world 2D water phantom with insertions of gold, barium, and gadolinium. Additionally a detailed user evaluation of the results is provided.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1629,
            "image_height": 712,
            "name": "amirkhanov-2014-ama-image.jpg",
            "type": "image/jpeg",
            "size": 192070,
            "path": "Publication:amirkhanov-2014-ama",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            1191,
            613,
            166,
            611
        ],
        "date_from": "2014-06-09",
        "date_to": "2014-06-13",
        "event": "Euro Vis 2014",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1191
        ],
        "location": "Swansea, UK",
        "note": "Article first published online: 12 JUL 2014",
        "number": "3",
        "pages_from": "91",
        "pages_to": "100",
        "volume": "33",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "multi-modal data",
            "XRF",
            "industrial computed tomography",
            "linked views",
            "spectral data"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12365/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "fast forward",
                "filetitle": "_fast forward",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "amirkhanov-2014-ama-_fast forward.mp4",
                "type": "video/mp4",
                "size": 2410313,
                "path": "Publication:amirkhanov-2014-ama",
                "preview_name": "amirkhanov-2014-ama-_fast forward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21892,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-_fast forward:video.mp4"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1629,
                "image_height": 712,
                "name": "amirkhanov-2014-ama-image.jpg",
                "type": "image/jpeg",
                "size": 192070,
                "path": "Publication:amirkhanov-2014-ama",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-image:thumb{{size}}.png"
            },
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2014-ama-slides.pptx",
                "type": "application/zip",
                "size": 18578088,
                "path": "Publication:amirkhanov-2014-ama",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "amirkhanov-2014-ama-video.wmv",
                "type": "application/octet-stream",
                "size": 15167834,
                "path": "Publication:amirkhanov-2014-ama",
                "preview_name": "amirkhanov-2014-ama-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 51865,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/amirkhanov-2014-ama-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/amirkhanov-2014-ama/",
        "__class": "Publication"
    },
    {
        "id": "charpenay-2014-sgn",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampling Gabor Noise in the Spatial Domain",
        "date": "2014-05",
        "abstract": "Gabor noise is a powerful technique for procedural texture generation. Contrary to other types of procedural noise, its sparse convolution aspect makes it easily controllable locally. In this paper, we demonstrate this property by explicitly introducing spatial variations. We do so by linking the sparse convolution process to the parametrization of the underlying surface. Using this approach, it is possible to provide control maps for the parameters in a natural and convenient way. In order to derive intuitive control of the resulting textures, we accomplish a small study of the influence of the parameters of the Gabor kernel with respect to the outcome and we introduce a solution where we bind values such as the frequency or the orientation of the Gabor kernel to a user-provided control map in order to produce novel visual effects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1750,
            "image_height": 776,
            "name": "charpenay-2014-sgn-image.png",
            "type": "image/png",
            "size": 1102546,
            "path": "Publication:charpenay-2014-sgn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1102,
            1120,
            844
        ],
        "booktitle": "Proceedings of the 30th Spring Conference on Computer Graphics - SCCG ",
        "date_from": "2014-05-28",
        "date_to": "2014-05-30",
        "editor": "Diego Gutierrez",
        "isbn": "978-80-223-3601-7",
        "lecturer": [
            1102
        ],
        "location": "Smolenice castle, Slovakia",
        "pages_from": "79",
        "pages_to": "82",
        "publisher": "ACM Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "texture synthesis",
            "Gabor noise",
            "procedural texture"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1750,
                "image_height": 776,
                "name": "charpenay-2014-sgn-image.png",
                "type": "image/png",
                "size": 1102546,
                "path": "Publication:charpenay-2014-sgn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-image:thumb{{size}}.png"
            },
            "1": {
                "description": "paper",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "charpenay-2014-sgn-paper.pdf",
                "type": "application/pdf",
                "size": 11296262,
                "path": "Publication:charpenay-2014-sgn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-paper:thumb{{size}}.png"
            },
            "3": {
                "description": "video",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "charpenay-2014-sgn-video.mp4",
                "type": "video/mp4",
                "size": 45324273,
                "path": "Publication:charpenay-2014-sgn",
                "preview_name": "charpenay-2014-sgn-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 20427,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/charpenay-2014-sgn-video:video.mp4"
            }
        },
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_CLD",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization",
        "date": "2014-05",
        "abstract": "Molecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 904,
            "image_height": 1414,
            "name": "Viola_Ivan_CLD-.jpg",
            "type": "image/jpeg",
            "size": 1057574,
            "path": "Publication:Viola_Ivan_CLD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1143,
            1185,
            951,
            161,
            1186,
            171
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "6",
        "pages_from": "276",
        "pages_to": "287",
        "volume": "33",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "clustering",
            "implicit surfaces",
            "level of detail algorithms",
            "scientific visualization",
            "Computer Applications"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12349/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 904,
                "image_height": 1414,
                "name": "Viola_Ivan_CLD-.jpg",
                "type": "image/jpeg",
                "size": 1057574,
                "path": "Publication:Viola_Ivan_CLD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/Viola_Ivan_CLD-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Viola_Ivan_CLD/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-LSM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Live Services Marketplace: Telepresence through Remote Humans",
        "date": "2014-05",
        "abstract": "The basic idea is to use state-of-the-art telecommunication technology to implement the virtual presence of a person at a remote location. The concept is described with the use of modern mobile phones (smartphones), but several other devices with similar or extended capabilities could be used instead, including pads and notebooks, action cams and augmented reality glasses (e.g. Google eyeglasses). The person, who wants to be tele-present somewhere (let’s call this person the “pilot”), uses the smartphone to communicate with a person at the remote site (let’s call this person the “flyer”). The contact includes an acoustic connection, i.e. they can talk to each other, and a video connection, i.e. at least the pilot sees what the flyer is doing. The Live Services Marketplace describes a business how to connect pilots with flyers. Flyers can register their willingness to act as telepresence avatars for selected tasks from a list of allowable tasks, maintained to prevent illegal tasks. Pilots can book these flyers through a central administration system, which searches for appropriate flyers, anonymises the contact and organizes the financial arrangement. The audio and video connection is live only (just as a phone call). The paper describes the basic concept and many use cases for this business.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            1187
        ],
        "number": "TR-186-2-14-1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "technical report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-2014-LSM-technical report.pdf",
                "type": "application/pdf",
                "size": 100177,
                "path": "Publication:Purgathofer-2014-LSM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/Purgathofer-2014-LSM-technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-LSM/",
        "__class": "Publication"
    },
    {
        "id": "Radwan-2014-CDR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Collision Detection While Rendering Dynamic Point Clouds",
        "date": "2014-05",
        "abstract": "A recent trend in interactive environments is the use of unstructured\nand temporally varying point clouds. This is driven by both\naffordable depth cameras and augmented reality simulations. One\nresearch question is how to perform collision detection on such\npoint clouds. State-of-the-art methods for collision detection create\na spatial hierarchy in order to capture dynamic point cloud surfaces,\nbut they require O(NlogN) time for N points. We propose\na novel screen-space representation for point clouds which exploits\nthe property of the underlying surface being 2D. In order for dimensionality\nreduction, a 3D point cloud is converted into a series\nof thickened layered depth images. This data structure can be constructed\nin O(N) time and allows for fast surface queries due to\nits increased compactness and memory coherency. On top of that,\nparts of its construction come for free since they are already handled\nby the rendering pipeline. As an application we demonstrate\nonline collision detection between dynamic point clouds. It shows\nsuperior accuracy when compared to other methods and robustness\nto sensor noise since uncertainty is hidden by the thickened boundary.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "Radwan-2014-CDR-.jpg",
            "type": "image/jpeg",
            "size": 1617713,
            "path": "Publication:Radwan-2014-CDR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            923,
            948,
            193
        ],
        "booktitle": "Proceedings of the 2014 Graphics Interface Conference",
        "date_from": "2014-05-07",
        "date_to": "2014-05-09",
        "event": "Graphics Interface 2014",
        "isbn": "978-1-4822-6003-8",
        "issn": "0713-5424",
        "lecturer": [
            948
        ],
        "location": "Montreal, Quebec, Canada ",
        "pages_from": "25",
        "pages_to": "33",
        "publisher": "Canadian Information Processing Society",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "bounding volumes",
            "layered depth images",
            "collision detection",
            "point cloud",
            "dynamic"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "Radwan-2014-CDR-.jpg",
                "type": "image/jpeg",
                "size": 1617713,
                "path": "Publication:Radwan-2014-CDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Radwan-2014-CDR-paper.pdf",
                "type": "application/pdf",
                "size": 18652471,
                "path": "Publication:Radwan-2014-CDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Radwan-2014-CDR-slides.pdf",
                "type": "application/pdf",
                "size": 3177669,
                "path": "Publication:Radwan-2014-CDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/Radwan-2014-CDR-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Radwan-2014-CDR/",
        "__class": "Publication"
    },
    {
        "id": "WEYDEMANN-2014-PIC",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementation of a PIC simulation using WebGL",
        "date": "2014-04",
        "abstract": "This project’s aim is to find a WebGL based alternative to the Java implementation of Open-\r\nPixi, a Java-based Particle-in-Cell (PIC) simulation software, and to add a third dimension. For\r\nthis purpose, an existing JavaScript library, three.js, was chosen. A handful of approaches are\r\nexplored and the resulting prototypes are then compared in terms of speed, as performance is a\r\nmain concern. A shader-based implementation, the best performing of the prototypes, is then explained\r\nin more detail and recommendations for the future development of OpenPixi are given.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1898,
            "image_height": 936,
            "name": "WEYDEMANN-2014-PIC-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 5331510,
            "path": "Publication:WEYDEMANN-2014-PIC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1175
        ],
        "date_start": "2014-02-17",
        "matrikelnr": "1028488",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "WebGL",
            "plasma simulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1898,
                "image_height": 936,
                "name": "WEYDEMANN-2014-PIC-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 5331510,
                "path": "Publication:WEYDEMANN-2014-PIC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WEYDEMANN-2014-PIC-thesis.pdf",
                "type": "application/pdf",
                "size": 558569,
                "path": "Publication:WEYDEMANN-2014-PIC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/WEYDEMANN-2014-PIC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WEYDEMANN-2014-PIC/",
        "__class": "Publication"
    },
    {
        "id": "birsak-2014-agtb",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Generation of Tourist Brochures",
        "date": "2014-04",
        "abstract": "We present a novel framework for the automatic generation of tourist brochures that include routing instructions and additional information presented in the form of so-called detail lenses.\nThe first contribution of this paper is the automatic creation of layouts for the brochures. Our approach is based on the minimization of an energy function that combines multiple goals: positioning of the lenses as close as possible to the corresponding region shown in an overview map, keeping the number of lenses low, and an efficient numbering of the lenses.\nThe second contribution is a route-aware simplification of the graph of streets used for traveling between the points of interest (POIs). This is done by reducing the graph consisting of all shortest paths through the minimization of an energy function. The output is a subset of street segments that enable traveling between all the POIs without considerable detours, while at the same time guaranteeing a clutter-free visualization.\n\nVideo: http://www.youtube.com/watch?v=t3w7uxzSR-Y",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1063,
            "image_height": 553,
            "name": "birsak-2014-agtb-image.png",
            "type": "image/png",
            "size": 497017,
            "path": "Publication:birsak-2014-agtb",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            844,
            194,
            193
        ],
        "date_from": "2014-04-07",
        "date_to": "2014-04-11",
        "event": "EUROGRAPHICS 2014",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2014)",
        "lecturer": [
            836
        ],
        "location": "Strasbourg, France",
        "number": "2",
        "pages_from": "449",
        "pages_to": "458",
        "volume": "33",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12333/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "example brochures",
                "filetitle": "examples",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2014-agtb-examples.rar",
                "type": "application/x-rar",
                "size": 16542177,
                "path": "Publication:birsak-2014-agtb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-examples.rar",
                "thumb_image_sizes": []
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1063,
                "image_height": 553,
                "name": "birsak-2014-agtb-image.png",
                "type": "image/png",
                "size": 497017,
                "path": "Publication:birsak-2014-agtb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-image:thumb{{size}}.png"
            },
            {
                "description": "preprint, high resolution (30 mb)",
                "filetitle": "preprint-highres",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2014-agtb-preprint-highres.pdf",
                "type": "application/pdf",
                "size": 30509342,
                "path": "Publication:birsak-2014-agtb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint-highres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint-highres:thumb{{size}}.png"
            },
            {
                "description": "preprint low resolution (2 MB)",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2014-agtb-preprint.pdf",
                "type": "application/pdf",
                "size": 2098032,
                "path": "Publication:birsak-2014-agtb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-preprint:thumb{{size}}.png"
            },
            {
                "description": "EG presentation slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2014-agtb-slides.pptx",
                "type": "application/zip",
                "size": 69769427,
                "path": "Publication:birsak-2014-agtb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "GUI Video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "birsak-2014-agtb-video.mp4",
                "type": "video/mp4",
                "size": 47818568,
                "path": "Publication:birsak-2014-agtb",
                "preview_name": "birsak-2014-agtb-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14949,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/birsak-2014-agtb-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/birsak-2014-agtb/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2014-EFD",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Effects of Fast Disparity Adjustments in Gaze-Controlled Stereoscopic Applications",
        "date": "2014-03",
        "abstract": "With the emergence of affordable 3D displays, stereoscopy is becoming\na commodity. However, often users report discomfort even after brief exposures to stereo content. One of the main reasons is the conflict between vergence and accommodation that is caused by 3D displays. We investigate dynamic adjustment of stereo parameters\nin a scene using gaze data in order to reduce discomfort. In a user study, we measured stereo fusion times after abrupt manipulation of disparities using gaze data. We found that gaze-controlled manipulation of disparities can lower fusion times for large disparities. In addition we found that gaze-controlled disparity adjustment should be applied in a personalized manner and ideally performed only at the extremities or outside the comfort zone of subjects.\nThese results provide important insight on the problems associated with fast disparity manipulation and are essential for developing appealing gaze-contingent and gaze-controlled applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1216,
            "image_height": 332,
            "name": "bernhard-2014-EFD-image.png",
            "type": "image/png",
            "size": 160276,
            "path": "Publication:bernhard-2014-EFD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            1017,
            779,
            731,
            193
        ],
        "booktitle": "Proceedings of the Symposium on Eye Tracking Research and Applications (ETRA 2014)",
        "date_from": "2014-03-26",
        "date_to": "2014-03-28",
        "editor": "Pernilla Qvarfordt and Dan Witzner Hansen",
        "isbn": "978-1-4503-2751-0",
        "lecturer": [
            660
        ],
        "location": "Safety Harbor, FL, USA",
        "pages_from": "111",
        "pages_to": "118",
        "publisher": "ACM",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "stereoscopic rendering",
            "comfort models",
            "fusion time",
            "eye tracking"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "conference paper",
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2014-EFD-draft.pdf",
                "type": "application/pdf",
                "size": 4234907,
                "path": "Publication:bernhard-2014-EFD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-draft:thumb{{size}}.png"
            },
            {
                "description": "teaser",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1216,
                "image_height": 332,
                "name": "bernhard-2014-EFD-image.png",
                "type": "image/png",
                "size": 160276,
                "path": "Publication:bernhard-2014-EFD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/bernhard-2014-EFD-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/bernhard-2014-EFD/",
        "__class": "Publication"
    },
    {
        "id": "weissenboeck-2014",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "FiberScout: An Interactive Tool for Exploring and Analyzing Fiber Reinforced Polymers",
        "date": "2014-03",
        "abstract": "Advanced composites such as fiber reinforced polymers are promising candidate materials for future components as they allow integrating the continuously rising demands of industry regarding costeffectiveness, function-orientation, integration and weight. The most important structures of fiber reinforced polymers are the individual fibers, as their characteristics (stiffness, strength, ductility, durability, etc.) to a large extent determine the properties of the final component. The main contribution of this paper is the introduction of a new system for interactive exploration and visual analysis of fiber properties in X-ray computed tomography data of fiber reinforced polymers. The presented tool uses parallel coordinates to define and configure initial fiber classes. Using a scatter plot matrix linked to the parallel coordinates the initial classification may be refined. This allows to analyze hidden relationships between individual fiber properties. 2D and 3D views depict the resulting fiber classifications. By using polar plots an intuitive rendering of the fiber orientation distribution is provided. In addition, two modules of higher abstraction are proposed: The Blob visualization creates a hull around fibers with similar characteristics. The fiber metadata visualization allows to calculate overlays for 2D and 3D views containing regional information of particular material characteristics. The proposed system has been evaluated by two groups of domain experts. Applying the presented concepts the user feedback shows that the domain experts are now able to efficiently perform tasks as classification of fibers, visualization of fiber lengths and orientations, and visualization of fiber regions. The insights gained can be forwarded to the design office as well as to material development and simulation, in order to speed up the development of novel composite components.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2992,
            "image_height": 874,
            "name": "weissenboeck-2014-teaser.jpg",
            "type": "image/jpeg",
            "size": 815566,
            "path": "Publication:weissenboeck-2014",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1169,
            817,
            1124,
            1054,
            1170,
            166,
            613,
            611
        ],
        "booktitle": "Proceedings of 2014 IEEE Pacific Visualization Symposium (PacificVis) (2014)",
        "date_from": "2014-03-04",
        "date_to": "2014-03-07",
        "isbn": "978-1-4799-2874-3 ",
        "lecturer": [
            1169
        ],
        "location": "Yokohama",
        "pages_from": "153",
        "pages_to": "160",
        "publisher": "IEEE Computer Society",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "pdf",
                "filetitle": "    paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weissenboeck-2014-    paper.pdf",
                "type": "application/pdf",
                "size": 5644418,
                "path": "Publication:weissenboeck-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-    paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-    paper:thumb{{size}}.png"
            },
            {
                "description": "pptx",
                "filetitle": "  presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weissenboeck-2014-  presentation.pptx",
                "type": "application/zip",
                "size": 73455713,
                "path": "Publication:weissenboeck-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-  presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "mp4",
                "filetitle": " submitted video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 680,
                "name": "weissenboeck-2014- submitted video.mp4",
                "type": "video/mp4",
                "size": 16394211,
                "path": "Publication:weissenboeck-2014",
                "preview_name": "weissenboeck-2014- submitted video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30415,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- submitted video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- submitted video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014- submitted video:video.mp4"
            },
            {
                "description": "",
                "filetitle": "blob ext video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "weissenboeck-2014-blob ext video.mp4",
                "type": "video/mp4",
                "size": 17872730,
                "path": "Publication:weissenboeck-2014",
                "preview_name": "weissenboeck-2014-blob ext video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41258,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blob ext video:video.mp4"
            },
            {
                "description": "",
                "filetitle": "blobs video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "weissenboeck-2014-blobs video.mp4",
                "type": "video/mp4",
                "size": 13309067,
                "path": "Publication:weissenboeck-2014",
                "preview_name": "weissenboeck-2014-blobs video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 43542,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-blobs video:video.mp4"
            },
            {
                "description": "",
                "filetitle": "classification video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "weissenboeck-2014-classification video.mp4",
                "type": "video/mp4",
                "size": 12653318,
                "path": "Publication:weissenboeck-2014",
                "preview_name": "weissenboeck-2014-classification video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 37077,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-classification video:video.mp4"
            },
            {
                "description": "",
                "filetitle": "metadata video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "weissenboeck-2014-metadata video.mp4",
                "type": "video/mp4",
                "size": 11050531,
                "path": "Publication:weissenboeck-2014",
                "preview_name": "weissenboeck-2014-metadata video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 34123,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-metadata video:video.mp4"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2992,
                "image_height": 874,
                "name": "weissenboeck-2014-teaser.jpg",
                "type": "image/jpeg",
                "size": 815566,
                "path": "Publication:weissenboeck-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/weissenboeck-2014-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/weissenboeck-2014/",
        "__class": "Publication"
    },
    {
        "id": "Guerrero-2014-GRF",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Edit Propagation using Geometric Relationship Functions",
        "date": "2014-03",
        "abstract": "We propose a method for propagating edit operations in 2D vector graphics, based on geometric relationship functions. These functions quantify the geometric relationship of a point to a polygon, such as the distance to the boundary or the direction to the closest corner vertex. The level sets of the relationship functions describe points with the same relationship to a polygon. For a given query point we ?rst determine a set of relationships to local features, construct all level sets for these relationships and accumulate them. The maxima of the resulting distribution are points with similar geometric relationships. We show extensions to handle mirror symmetries, and discuss the use of relationship functions as local coordinate systems. Our method can be applied for example to interactive ?oor-plan editing, and is especially useful for large layouts, where individual edits would be cumbersome. We demonstrate populating 2D layouts with tens to hundreds of objects by propagating relatively few edit operations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "representative image",
            "filetitle": "representative_image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1520,
            "image_height": 1336,
            "name": "Guerrero-2014-GRF-representative_image.jpg",
            "type": "image/jpeg",
            "size": 517288,
            "path": "Publication:Guerrero-2014-GRF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627,
            356,
            193,
            194
        ],
        "date_from": "2014-08-10",
        "date_to": "2014-08-14",
        "doi": "10.1145/2591010",
        "event": "ACM SIGGRAPH 2014",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            627
        ],
        "location": "Vancouver, Canada",
        "number": "2",
        "pages_from": "15:1",
        "pages_to": "15:15",
        "volume": "33",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Shape Modeling",
            "Floor Plans",
            "Edit Propagation",
            "Geometric Relationship Functions"
        ],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/2591010",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "individual steps of the apartment building example",
                "filetitle": "apartment_editing",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero-2014-GRF-apartment_editing.pdf",
                "type": "application/pdf",
                "size": 12639838,
                "path": "Publication:Guerrero-2014-GRF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-apartment_editing.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-apartment_editing:thumb{{size}}.png"
            },
            {
                "description": "individual steps of the palace garden example",
                "filetitle": "garden_editing",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero-2014-GRF-garden_editing.pdf",
                "type": "application/pdf",
                "size": 74317887,
                "path": "Publication:Guerrero-2014-GRF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-garden_editing.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-garden_editing:thumb{{size}}.png"
            },
            {
                "description": "pre-print version of the paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Guerrero-2014-GRF-paper.pdf",
                "type": "application/pdf",
                "size": 16383816,
                "path": "Publication:Guerrero-2014-GRF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-paper:thumb{{size}}.png"
            },
            {
                "description": "representative image",
                "filetitle": "representative_image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1520,
                "image_height": 1336,
                "name": "Guerrero-2014-GRF-representative_image.jpg",
                "type": "image/jpeg",
                "size": 517288,
                "path": "Publication:Guerrero-2014-GRF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/Guerrero-2014-GRF-representative_image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Guerrero-2014-GRF/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2014-cgbpmi",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Challenges in grammar-based procedural modeling of interiors",
        "date": "2014-02-04",
        "abstract": "While the creation of convincing cityscapes is a well researched\nproblemm, there is a lack of robust and efficient techniques for\nmodeling the interior of buildings. I my talk, I will introduce a\nrecently started research project on Data-Driven Procedural Modeling\nof Interiors. In particular, I will focus on challenges for the\nsubdivision of the interior space into rooms, placement of furniture\nand procedural generation of furniture pieces. Our preliminary results\nshow first succesful extensions and generalizations to commonly used\ngrammar-based approaches like the CGA-Shape or G^2 grammars.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The pipeline for indoor architecture modeling",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1120,
            "image_height": 545,
            "name": "ilcik-2014-cgbpmi-image.png",
            "type": "image/png",
            "size": 109730,
            "path": "Publication:ilcik-2014-cgbpmi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303
        ],
        "event": "High Visual Computing (HiVisComp) 2014",
        "lecturer": [
            1303
        ],
        "location": "Pec pod Snezkou, Czech Republic",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "object placement",
            "formal grammars",
            "procedural modling",
            "ideas",
            "architecture"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The pipeline for indoor architecture modeling",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1120,
                "image_height": 545,
                "name": "ilcik-2014-cgbpmi-image.png",
                "type": "image/png",
                "size": 109730,
                "path": "Publication:ilcik-2014-cgbpmi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/ilcik-2014-cgbpmi-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/ilcik-2014-cgbpmi/",
        "__class": "Publication"
    },
    {
        "id": "KREUZER-2014-DPA",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Depixelizing Pixel Art on GPUs",
        "date": "2014-02",
        "abstract": "Pixel art was frequently employed in games of the 90s and earlier. On today's large and high-resolution displays, pixel art looks blocky. Recently, an algorithm was introduced by Johannes Kopf and Dani Lischinski to create a smooth, resolution-indepenent vector representation from pixel art (see image). However, the algorithm is far too slow for interactive use for example in a game. The goal of this project was to implement the algorithm efficiently and on the GPU, so that it can be incorporated into current game emulators (ScummVM, dosemu, ...).\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 438,
            "image_height": 357,
            "name": "KREUZER-2014-DPA-image.png",
            "type": "image/png",
            "size": 36906,
            "path": "Publication:KREUZER-2014-DPA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1046
        ],
        "date_end": "2013-09-09",
        "date_start": "2012-11-05",
        "matrikelnr": "0827433",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://github.com/falichs/Depixelizing-Pixel-Art-on-GPUs",
                "caption": "Repository",
                "description": "Github repository for source code",
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Executable demo with some example data sets",
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "KREUZER-2014-DPA-demo.zip",
                "type": "application/zip",
                "size": 2159272,
                "path": "Publication:KREUZER-2014-DPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-demo.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 438,
                "image_height": 357,
                "name": "KREUZER-2014-DPA-image.png",
                "type": "image/png",
                "size": 36906,
                "path": "Publication:KREUZER-2014-DPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/KREUZER-2014-DPA-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KREUZER-2014-DPA/",
        "__class": "Publication"
    },
    {
        "id": "filipovic-2014-dect",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Noise Reduction in Medical DECT Data",
        "date": "2014-02",
        "abstract": "Dual energy computed tomography (DECT) recently gained popularity for medical diagnostic imaging. It has been demonstrated how DECT can improve density measurement and material differentiation, and practical applications for DECT imaging in medicine. Noise reduction is standard operation in the process of image enhancement which is necessary operation prior to image evaluation done by radiologist. In this work, we describe two approaches for noise reduction using DECT data. First, we show in the work that the cross or joint bilateral filter can be effectively used on DECT images to reduce noise while preserving edges. Second, noise in two DECT images is anti-correlated and can be effectively removed by the KCNR algorithm. Even better results can be achieved by using algorithms that exploit an additional characteristic information of DECT data, such as the spectral information. It was shown that the KCNR can increase its performance regarding quality when the spectral information is corrected before applying the KCNR. AngioVis framework provides ability to present and manipulate CT data. All discussed image enhancement algorithms are implemented in AngioVis as a plugin.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1179
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "The written bachelor thesis (8 MB).",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "filipovic-2014-dect-thesis.pdf",
                "type": "application/pdf",
                "size": 7975152,
                "path": "Publication:filipovic-2014-dect",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/filipovic-2014-dect-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/filipovic-2014-dect-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/filipovic-2014-dect/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Eduard_2014_UCT",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Uncertainty in CT Metrology: Visualizations for Exploration and Analysis of Geometric Tolerances",
        "date": "2014-02",
        "abstract": "Industrial 3D X-ray computed tomography (3DXCT) is increasingly applied as a technique for metrology applications. In contrast to comventional metrology tools such as coordinate measurement\nmachines (CMMs). 3DXCT only estimates the exact position of the specimen’s surface and is subjected to a specific set of artifact types. These factors result in uncertainty that is present in the data.  Previous work by Amirkhanov et. al [2] presented a tool prototype that is taking such uncertainty into account when measuring geometric tolerances such as straightness, circularity, or flatness.\nIn this paper we extend the previous work with two more geometric tolerance types: cylindricity and angularity. We provide methods and tools for visualization, inspection, and analysis of these tolerances. For the cylindricity tolerance we employ neighboring profiles visualization, box-plot overview, and interactive 3D view. We evaluate applicability and usefulness our methods on a new TP03 data set, and present results and new potential use cases.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1500,
            "image_height": 800,
            "name": "Groeller_Eduard_2014_UCT-.jpg",
            "type": "image/jpeg",
            "size": 190059,
            "path": "Publication:Groeller_Eduard_2014_UCT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            1191,
            789,
            613,
            166,
            611
        ],
        "booktitle": "Proceedings of 5th Conference on Industrial Computed Tomography (iCT Conference 2014)",
        "date_from": "2014-02-25",
        "date_to": "2014-02-28",
        "event": "iCT Conference 2014",
        "issn": "978-3-8440-2557-6",
        "journal": "Proceedings of iCT 2014",
        "lecturer": [
            817
        ],
        "location": "Wels, Austria",
        "pages_from": "189",
        "pages_to": "195",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "metrology",
            "level-of-details",
            "uncertainty visualization",
            "Industrial 3D computed tomography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1500,
                "image_height": 800,
                "name": "Groeller_Eduard_2014_UCT-.jpg",
                "type": "image/jpeg",
                "size": 190059,
                "path": "Publication:Groeller_Eduard_2014_UCT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Eduard_2014_UCT-Paper.pdf",
                "type": "application/pdf",
                "size": 1698956,
                "path": "Publication:Groeller_Eduard_2014_UCT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/Groeller_Eduard_2014_UCT-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_UCT/",
        "__class": "Publication"
    },
    {
        "id": "Tragust-2014-master-thesis",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating Annotations into a Point-based Rendering System",
        "date": "2014-01",
        "abstract": "The preservation of archaeological sites is an important task in cultural heritage. Classical methods\r\nconserve archaeological objects in museums and provide restoration of archaeological sites\r\nthreatened by decay. The improved digitalization provides the possibility to generate an accurate\r\nrepresentation of archaeological sites by using laser scanners. The resulting point clouds\r\ncan preserve the archaeological site and provide the possibility to view it in its digital form even\r\nif it no longer exists.\r\nUsually, the archaeological site comes with a lot of different material, which has been created\r\nover the years. This material provides information about the digitalized object, which helps to\r\ngain a deeper understanding about the presented archaeological site.\r\nThis thesis presents an annotation system for a point-cloud renderer. The system allows\r\nadding annotations in the 3D space next to the part of the point cloud it belongs to. This helps to\r\nprovide the additional information of the point cloud in the context it belongs to. Moreover, each\r\nannotation should present interesting information about specific annotated parts of the archaeological\r\nsite to the viewer. Besides simple textual annotations, a variable amount of documents,\r\nsuch as images and PDFs, can be attached to each annotation to provide all kind of information.\r\nSeveral filtering techniques, including viewpoint-dependent priority filtering, are presented\r\nto control the visibility of the annotations. Moreover, a guidance system based on graphs is\r\nintroduced to lead viewers to different points of interest, which are represented as annotations.\r\nTo provide a clear connection between annotations and the annotated part of the point cloud,\r\na point-selection method and a point-marking method are presented. To allow the connection of\r\na large set of annotations to a single point cloud, these methods are developed in CUDA. This\r\nis done by extending existing methods, which create octrees in CUDA. The developed methods\r\nallow fast execution on the GPU while a CPU-based method is not able to handle such a large\r\namount of point selections in real-time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Annotations in a point cloud",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 483,
            "name": "Tragust-2014-master-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 140762,
            "path": "Publication:Tragust-2014-master-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            867
        ],
        "date_start": "2012-06-26",
        "diploma_examina": "2014",
        "matrikelnr": "0827047",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [],
        "keywords": [
            "user guidance",
            "annotating objects",
            "information system"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Annotations in a point cloud",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 483,
                "name": "Tragust-2014-master-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 140762,
                "path": "Publication:Tragust-2014-master-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tragust-2014-master-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 15412486,
                "path": "Publication:Tragust-2014-master-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/Tragust-2014-master-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Tragust-2014-master-thesis/",
        "__class": "Publication"
    },
    {
        "id": "tweebo-2014",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tweebo - Ein Geo-Basierter Twitter-Client",
        "date": "2014",
        "abstract": "Twitter ist eine online Plattform, welche sich darauf spezialisiert hat Kurznachrichten, auch Tweets genannt, zu erstellen und in weiterer Folge online zu publizieren. Sobald ein Benutzer ein entsprechendes Twitter-Konto erstellt hat, hat er die Möglichkeit Kurznachrichten zu verfassen und per Favoritensystem andere Nachrichten-Streams zu verfolgen. Jeder Benutzer erhält seine eigene Twitter-Website, auf welcher seine Nachrichten einzusehen sind. Twitter wird auch gerne als Mikroblogging Plattform bezeichnet.\r\nNeben Facebook ist Twitter einer der großen Namen im Bereich der sozialen Netzwerke.\r\n\r\nKurznachrichten, welche auf 140 Zeichen limitiert sind, bilden die Basis der Plattform. Diese enthalten neben der eigentlichen Nachricht, Metadaten, welche weitere Verarbeitungsebenen ermöglichen. Unter anderem stellt Twitter eine umfangreiche REST-API zur Verfügung. Diese ermöglicht es Drittanbietern die Funktionalität von Twitter in andere Applikationen zu integrieren. Die Zurverfügungstellung dieser Schnittstelle wirkt einer Kapselung der Twitter-Umgebung entgegen und motiviert neue Einsatzmöglichkeiten.\r\n\r\nTweebo stellt eine dieser neuen Einsatzmöglichkeiten dar, fokusiert sich speziell auf den Standortaspekt eines Tweets und kann als geo-basierter Twitter Client für iOS, welcher\r\neine wertvolle Kombination aus reinen Nachrichtenaspekten und Geolokalisierungen kombiniert, bezeichnet werden. Er wurde speziell für iOS entwickelt. Durch die außergewöhnliche Darstellung von Tweets auf einem dreidimensionalen Globus, wird es dem Benutzer ermöglicht, schnell Veränderungen im Weltgeschehen zu erkennen. Verschiedene Visualisierungsmöglichkeiten stellen erstmals eine geobasierte Darstellung\r\nvon Tweets, auf einem mobilen Gerät ansprechend zur Verfügung. Tweebo versucht einen globalen Bezug hinsichtlich der Twitteraktivitäten eines Benutzers zu visualisieren. Anstelle einer gewohnten Listenansicht ermöglicht Tweebo, durch Verarbeitung der zusätzlichen Lokalisierungsdaten pro Kurznachricht, eine angepasste Ansicht auf einem dreidimensionalen Globus. Neben der eigentlichen Lokalisierung der Kurznachrichten auf dem Globus ermöglicht Tweebo auch die Visualisierung der Aktivitätsintensität eines Nachrichtenstreams.\r\n\r\nDer Tweebo iOS Client unterstützt die primären Twitter-Funktionlitäten. Natürlich können Kurznachrichten erstellt und abgerufen werden, diese Funktionalitäten werden aber mit einer zusätzlichen Visualisierungsebene, dem dreidimensionalen Globus erweitert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 257,
            "image_height": 171,
            "name": "tweebo-2014-teaser.png",
            "type": "image/png",
            "size": 132287,
            "path": "Publication:tweebo-2014",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            930,
            929
        ],
        "date_end": "2014-01",
        "date_start": "2013-03",
        "matrikelnr": "0326465, 0326357",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 257,
                "image_height": 171,
                "name": "tweebo-2014-teaser.png",
                "type": "image/png",
                "size": 132287,
                "path": "Publication:tweebo-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-teaser:thumb{{size}}.png"
            },
            {
                "description": "The thesis in PDF format.",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 585,
                "preview_image_height": 508,
                "name": "tweebo-2014-thesis.pdf",
                "type": "application/pdf",
                "size": 19187967,
                "path": "Publication:tweebo-2014",
                "preview_name": "tweebo-2014-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 893542,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/tweebo-2014-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/tweebo-2014/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2014-DWNT",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Do we need the full reconstruction pipeline?",
        "date": "2014",
        "abstract": "The traditional cultural heritage documentation pipeline from acquisition using a range scanner to interactive display to the user is a tedious and labor-intensive process. In particular, reconstructing high-quality meshes from large point clouds can be time consuming. In this talk, I will present shortcuts to this pipeline. The first idea is not to reconstruct a mesh at all, but keep the original point cloud as long as possible. I will discuss the challenges in maintaining interactivity and high quality when dealing with the display and manipulation of huge point clouds. The second idea is to reconstruct extremely simple models for regular and man-made structures, using shape analysis and user guidance. These models can be shown in end-user installations and require very few resources for display. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2014-07-24",
        "date_to": "2014-07-24",
        "event": "EU-Korea Conference on Science and Technology",
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/WIMMER-2014-DWNT/",
        "__class": "Publication"
    },
    {
        "id": "Zhu-2014-flowvis",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Flow Visualization with Stream Surfaces",
        "date": "2014",
        "abstract": "Stream Surfaces for Flow Visualization, implemented in C++ and OpenGL, based on the Hurricane dataset",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "evenly-spaced streamlines",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 770,
            "image_height": 665,
            "name": "Zhu-2014-flowvis-teaser.png",
            "type": "image/png",
            "size": 1539352,
            "path": "Publication:Zhu-2014-flowvis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1171
        ],
        "matrikelnr": "0348503",
        "supervisor": [
            166,
            950
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "praktikum report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 879,
                "preview_image_height": 663,
                "name": "Zhu-2014-flowvis-report.pdf",
                "type": "application/pdf",
                "size": 527184,
                "path": "Publication:Zhu-2014-flowvis",
                "preview_name": "Zhu-2014-flowvis-report:preview.png",
                "preview_type": "image/png",
                "preview_size": 1751878,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-report:thumb{{size}}.png"
            },
            {
                "description": "evenly-spaced streamlines",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 770,
                "image_height": 665,
                "name": "Zhu-2014-flowvis-teaser.png",
                "type": "image/png",
                "size": 1539352,
                "path": "Publication:Zhu-2014-flowvis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/Zhu-2014-flowvis-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Zhu-2014-flowvis/",
        "__class": "Publication"
    },
    {
        "id": "fmistelbauer-2014-ad",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "ActiveDICOM",
        "date": "2014",
        "abstract": "Digital Imaging and Communication in Medicine (DICOM) is a well-established image standard in medical imaging covering patient related information to network transfer protocols for medical workstations. As most DICOM images exhibit a rather static nature and visualization and computer graphics tend towards more interactive exploration of data, we try to enhance static images with interaction. For this purpose we will provide a mapping language that transfers an interaction to a specific visualization. All the necessary information will be encoded in the images and decoded by a provided viewer application for medical personnel.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "fmistelbauer-2014-ad-.pdf",
            "type": "application/pdf",
            "size": 6900825,
            "path": "Publication:fmistelbauer-2014-ad",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1234
        ],
        "date_end": "2017-02",
        "date_start": "2014-03",
        "matrikelnr": "0226239",
        "supervisor": [
            869,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "fmistelbauer-2014-ad-.pdf",
                "type": "application/pdf",
                "size": 6900825,
                "path": "Publication:fmistelbauer-2014-ad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/fmistelbauer-2014-ad-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/fmistelbauer-2014-ad/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_CaQ",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative and Quantitative Visualization in Material Sciences",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2014-09-22",
        "event": "Keynote talk at INFORMATIK 2014 Workshop Big Data Visual Computing - Quantitative Perspectives for Visual Computing",
        "location": "Stuttgart, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CaQ/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_CQV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative and Quantitative Visualization in Material Sciences",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2014-06-02",
        "event": "Seminar 14231, Scientific Visualization, Dagstuhl",
        "location": "Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CQV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_CV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visualization",
        "date": "2014",
        "abstract": "Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity and variability has increased considerably. This is due to new data sources as well as the availability of uncertainty, error and tolerance information. Instead of individual objects entire sets, collections, and ensembles are visually investigated. This raises the need for effective comparative visualization approaches. Visual data science and computational sciences provide vast amounts of digital variations of a phenomenon which can be explored through superposition, juxtaposition and explicit difference encoding. A few examples of comparative approaches coming from the various areas of visualization, i.e., scientific visualization, information visualization and visual analytics will be treated in more detail. Comparison and visualization techniques are helpful to carry out parameter studies for the special application area of non-destructive testing using 3D X-ray computed tomography (3DCT). We discuss multi-image views and an edge explorer for comparing and visualizing gray value slices and edges of several datasets simultaneously. Visual steering supports decision making in the presence of alternative scenarios. Multiple, related simulation runs are explored through branching operations. To account for uncertain knowledge about the input parameters, visual reasoning employs entire parameter distributions. This can lead to an uncertainty-aware exploration of (continuous) parameter spaces. VAICo, i.e., Visual Analysis for Image Comparison, depicts differences and similarities in large sets of images. It preserves contextual information, but also allows the user a detailed analysis of subtle variations. The approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this comparison process are then presented in an interactive web application which enables users to rapidly explore the space of differences and drill-down on particular features. Given the amplified data variability, comparative visualization techniques are likely to gain in importance in the future. Research challenges, directions, and issues concerning this innovative area are sketched at the end of the talk.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2014-03-04",
        "date_to": "2014-03-07",
        "event": "IEEE Pacific Visualization Symposium (PacificVis)2014",
        "location": "Yokohama, Japan",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2014_CV-Slides.pdf",
                "type": "application/pdf",
                "size": 3734455,
                "path": "Publication:Groeller_2014_CV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/Groeller_2014_CV-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/Groeller_2014_CV-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_CV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_STC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Selected Topics in Comparative Visualization",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2014-02-11",
        "event": "Science Meeting of Visual Computing Center",
        "location": "KAUST, Thuwal, Saudi Arabia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_STC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2014_VND",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization for Non-Destructive Testing",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2014-03-11",
        "event": "NII Shonan Meeting Seminar 046 (Computer Visualization – Concepts and Challenges)",
        "location": "Hayama Miura-gun, Kanagawa, Japan",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_2014_VND/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Eduard_2014_THS",
        "type_id": "inbook",
        "tu_id": 234826,
        "repositum_id": null,
        "title": "The Haunted Swamps of Heuristics: Uncertainty in Problem Solving",
        "date": "2014",
        "abstract": "In scientific visualization the key task of research is the provision of insight into a problem. Finding the solution to a problem may be seen as finding a path through some rugged terrain which contains mountains, chasms, swamps, and few flatlands. This path—an algorithm discovered by the researcher—helps users to easily move around this unknown area. If this way is a wide road paved with stones it will be used for a long time by many travelers. However, a narrow footpath leading through deep forests and deadly swamps will attract only a few adventure seekers. There are many different paths with different levels of comfort, length, and stability, which are uncertain during the research process. Finding a systematic way to deal with this uncertainty can greatly assist the search for a safe path which is in our case the development of a suitable visualization algorithm for a specific problem. In this work we will analyze the sources of uncertainty in heuristically solving visualization problems and will propose directions to handle these uncertainties.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1459,
            "image_height": 1100,
            "name": "Groeller_Eduard_2014_THS-.jpg",
            "type": "image/jpeg",
            "size": 142333,
            "path": "Publication:Groeller_Eduard_2014_THS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            161,
            611,
            166
        ],
        "booktitle": "Scientific Visualization",
        "chapter": "Uncertainty, Multifield, Biomedical, and Scalable Visualization",
        "editor": "Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen",
        "isbn": "978-1-4471-6496-8",
        "note": "Chapter 5",
        "pages_from": "51",
        "pages_to": "60",
        "publisher": "Springer London",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1459,
                "image_height": 1100,
                "name": "Groeller_Eduard_2014_THS-.jpg",
                "type": "image/jpeg",
                "size": 142333,
                "path": "Publication:Groeller_Eduard_2014_THS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/Groeller_Eduard_2014_THS-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Groeller_Eduard_2014_THS/",
        "__class": "Publication"
    },
    {
        "id": "KAFKA-2014-19MRD",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "19 Millarden Euro City",
        "date": "2014",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1208
        ],
        "date_end": "2018-05",
        "date_start": "2014-05-30",
        "matrikelnr": "1027074",
        "note": "unfinished student project",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://milliardenstadt.at/",
                "caption": "Link to project",
                "description": null,
                "main_file": 1
            }
        ],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/KAFKA-2014-19MRD/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2014-CSD",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Complex Scientific Data",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983
        ],
        "date_from": "2014-01-07",
        "event": "TU München",
        "location": "Munich, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Kehrer-2014-CSD/",
        "__class": "Publication"
    },
    {
        "id": "labschuetz-2014-IGI",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image Based Global Illumination",
        "date": "2014",
        "abstract": "The aim of this project was to find out how good image based global illumination can approximate ray-traced global illumination. The work identifies advantages and disadvantages of such techniques and gives some insight into how screen-space global illumination could be achieved in future works.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840
        ],
        "matrikelnr": "8971103",
        "note": "1",
        "supervisor": [
            193,
            779
        ],
        "research_areas": [],
        "keywords": [
            "Global Illumination",
            "Screen Space",
            "Image Space",
            "Evaluation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Detailed report on how the project was realized plus discussion of results.",
                "filetitle": "Project Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "labschuetz-2014-IGI-Project Report.pdf",
                "type": "application/pdf",
                "size": 962560,
                "path": "Publication:labschuetz-2014-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Project Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Project Report:thumb{{size}}.png"
            },
            {
                "description": "Source code of the student project.",
                "filetitle": "Source Code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "labschuetz-2014-IGI-Source Code.zip",
                "type": "application/zip",
                "size": 78407837,
                "path": "Publication:labschuetz-2014-IGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/labschuetz-2014-IGI-Source Code.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/labschuetz-2014-IGI/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2014-fsco",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Framework for Shape Co-Analysis",
        "date": "2014",
        "abstract": "This application serves as a framework for Co-Analysis, in which a set of meshes of a specific category (e.g. candelabra or chairs) is analysed in an attempt to group the parts constituting each mesh into semantic categories. This is achieved by first individually subdividing each mesh into smaller segments and then clustering the segments of all meshes based on their face-level features. In the example pictured above, the mesh parts are grouped into 4 distinct categories, each represented by a different color. Furthermore, the framework allows the selection of different algorithms for each step of the Co-Analysis pipeline and can also be easily extended by adding more algorithms. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1121,
            "image_height": 600,
            "name": "leimer-2014-fsco-image.jpg",
            "type": "image/jpeg",
            "size": 522033,
            "path": "Publication:leimer-2014-fsco",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019
        ],
        "date_start": "2014-09-01",
        "matrikelnr": "0825842",
        "supervisor": [
            844
        ],
        "research_areas": [],
        "keywords": [
            "shape processing",
            "shape segmentation",
            "shape co-analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "docu",
                "filetitle": "docu",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2014-fsco-docu.pdf",
                "type": "application/pdf",
                "size": 356192,
                "path": "Publication:leimer-2014-fsco",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-docu:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1121,
                "image_height": 600,
                "name": "leimer-2014-fsco-image.jpg",
                "type": "image/jpeg",
                "size": 522033,
                "path": "Publication:leimer-2014-fsco",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/leimer-2014-fsco-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/leimer-2014-fsco/",
        "__class": "Publication"
    },
    {
        "id": "lemuzic_2014_ipv",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization of Biochemical Processes Featuring Multiple Temporal Scales",
        "date": "2014",
        "abstract": "Scientific illustrators are commonly using structural description of molecular compounds when depicting complex biochemical processes. However, computational biology also provides procedural models describing the function of biological processes which are not currently used in the production pipeline. Instead, animators utilize scientific knowledge to manually animate and reproduce the functioning of cellular biology. We would like to explore the use of such models in order to generate explanatory illustrations that would show how molecular machinery works. Particle-based simulations provide the means for spatially representing the dynamics of biochemical processes. They compute the positions of each single particle and are supposed to \nmimic a realistic behaviour of the metabolites. Current mesoscale visualization also allows to directly show the results of such simulations by mapping the positions of particles in a virtual 3D environment. Nevertheless, some biochemical processes, like the DNA repair for instance, exhibit temporal multiscale aspects because they comprise diffusion rates which are much greater in comparison with reaction rates. As a result, it is challenging to produce a clear and coherent visualization out of this type of simulation. Indeed, when viewing the process at the pace which would let us see the reactions, it becomes impossible for the human eye to keep track of individual elements because of the very large diffusion displacements. On the other hand, if one would playback the simulation slow enough to be see a steady motion of individual elements, then only a very few number of reactions would occur in a reasonable amount of time. In this work we propose to solve the problem associated with multiple temporal scales by providing means for spatial. With this approach we aim at showing the two different temporal scale at the same time by using advanced trajectory smoothing mechanism. This would allow us to see individual elements while showing a world full of reactions, hence enabling us to communicate complex biological processes and molecular machineries in a comprehensive way.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "lemuzic_2014_ipv-.pdf",
            "type": "application/pdf",
            "size": 823052,
            "path": "Publication:lemuzic_2014_ipv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1189,
            1143,
            1110,
            171
        ],
        "date_from": "2014-09-04",
        "date_to": "2014-09-05",
        "event": "Eurographics Workshop on Visual Computing for Biology",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "lemuzic_2014_ipv-.pdf",
                "type": "application/pdf",
                "size": 823052,
                "path": "Publication:lemuzic_2014_ipv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/lemuzic_2014_ipv-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lemuzic_2014_ipv/",
        "__class": "Publication"
    },
    {
        "id": "lkoell-2014",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization in the Cloud",
        "date": "2014",
        "abstract": "As currently many new visualization techniques are developed, the need for rapid prototyping systems has arisen. Current visualization prototyping software provides extensive features, however it often lacks the possibility to easily start new visualization prototypes as well as the possibility to share and collaboratively work on those prototypes. Also, existing solutions involve a cumbersome and slow development process, because hardware-near solutions often require recompilation after every development step. The availability of hardware\r\nresources (e.g. GPU) is limited, hence a remote solution is required to take advantage of them, which also solves the problem of having to transfer large volume datasets. In this thesis, a system named VolumeShop Playground is introduced that compensates for the\r\nabove stated disadvantages while still allowing for hardware-near development of realtime visualizations. VolumeShop Playground is based on the existing VolumeShop framework,enhances it by a scripting API and provides a web frontend for simple setup and collaboration. The fact that we use a modern scripting language instead of recompiling the source code every time will supply a tremendous increase in development speed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 702,
            "image_height": 483,
            "name": "lkoell-2014-teaser.png",
            "type": "image/png",
            "size": 1019387,
            "path": "Publication:lkoell-2014",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1168
        ],
        "date_end": "2014-02",
        "date_start": "2013-05",
        "matrikelnr": "1025785",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "exploring the display view of Volumeshop Playground",
                "filetitle": "demo-video1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 645,
                "preview_image_height": 437,
                "name": "lkoell-2014-demo-video1.mp4",
                "type": "video/mp4",
                "size": 42949286,
                "path": "Publication:lkoell-2014",
                "preview_name": "lkoell-2014-demo-video1:preview.png",
                "preview_type": "image/png",
                "preview_size": 847461,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video1:video.mp4"
            },
            {
                "description": "using the interactive scripting tool",
                "filetitle": "demo-video2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 701,
                "preview_image_height": 445,
                "name": "lkoell-2014-demo-video2.mp4",
                "type": "video/mp4",
                "size": 48299014,
                "path": "Publication:lkoell-2014",
                "preview_name": "lkoell-2014-demo-video2:preview.png",
                "preview_type": "image/png",
                "preview_size": 937851,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video2:video.mp4"
            },
            {
                "description": "using the interactive shader programming tool",
                "filetitle": "demo-video3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 871,
                "preview_image_height": 539,
                "name": "lkoell-2014-demo-video3.mp4",
                "type": "video/mp4",
                "size": 68901722,
                "path": "Publication:lkoell-2014",
                "preview_name": "lkoell-2014-demo-video3:preview.png",
                "preview_type": "image/png",
                "preview_size": 1411288,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-demo-video3:video.mp4"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 702,
                "image_height": 483,
                "name": "lkoell-2014-teaser.png",
                "type": "image/png",
                "size": 1019387,
                "path": "Publication:lkoell-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-teaser:thumb{{size}}.png"
            },
            {
                "description": "written bachelor thesis (3.4 MB)",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1162,
                "preview_image_height": 848,
                "name": "lkoell-2014-thesis.pdf",
                "type": "application/pdf",
                "size": 3515301,
                "path": "Publication:lkoell-2014",
                "preview_name": "lkoell-2014-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 2961821,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/lkoell-2014-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/lkoell-2014/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-Rio",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics in Vienna and at the VRVis Research Center",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2014-10-29",
        "event": "Computer Graphics Lab at Universidade Federal do Rio de Janeiro",
        "location": "Rio de Janeiro, Brazil",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-Rio/",
        "__class": "Publication"
    },
    {
        "id": "raidou_vcbm14",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "The iCoCooN:Integration of Cobweb Charts with Parallel Coordinates forVisual Analysis of DCE-MRI Modeling Variations",
        "date": "2014",
        "abstract": "Efficacy of radiotherapy treatment depends on the specific characteristics of tumorous tissues. For the determi-nation of these characteristics, clinical practice uses Dynamic Contrast Enhanced (DCE) Magnetic ResonanceImaging (MRI). DCE-MRI data is acquired and modeled using pharmacokinetic modeling, to derive per voxela set of parameters, indicative of tissue properties. Different pharmacokinetic modeling approaches make differ-ent assumptions, resulting in parameters with different distributions. A priori, it is not known whether there aresignificant differences between modeling assumptions and which assumption is best to apply. Therefore, clinicalresearchers need to know at least how different choices in modeling affect the resulting pharmacokinetic parame-ters and also where parameter variations appear. In this paper, we introduce iCoCooN: a visualization applicationfor the exploration and analysis of model-induced variations in pharmacokinetic parameters. We designed a visualrepresentation, the Cocoon, by integrating perpendicularly Parallel Coordinate Plots (PCPs) with Cobweb Charts(CCs). PCPs display the variations in each parameter between modeling choices, while CCs present the relationsin a whole parameter set for each modeling choice. The Cocoon is equipped with interactive features to supportthe exploration of all data aspects in a single combined view. Additionally, interactive brushing allows to link theobservations from the Cocoon to the anatomy. We conducted evaluations with experts and also general users. Theclinical experts judged that the Cocoon in combination with its features facilitates the exploration of all significantinformation and, especially, enables them to find anatomical correspondences. The results of the evaluation withgeneral users indicate that the Cocoon produces more accurate results compared to independent multiples",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "raidou_vcbm14-.mp4",
            "type": "video/mp4",
            "size": 44770304,
            "path": "Publication:raidou_vcbm14",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-.mp4",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:thumb{{size}}.png",
            "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:video.mp4"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1446,
            1459,
            679,
            459
        ],
        "journal": "Eurographics Workshop on Visual Computing for Biology and Medicine ",
        "lecturer": [
            171,
            231,
            951
        ],
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_vcbm14-.mp4",
                "type": "video/mp4",
                "size": 44770304,
                "path": "Publication:raidou_vcbm14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-:video.mp4"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_vcbm14-paper.pdf",
                "type": "application/pdf",
                "size": 2017346,
                "path": "Publication:raidou_vcbm14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/raidou_vcbm14-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vcbm14/",
        "__class": "Publication"
    },
    {
        "id": "raidou_vis14",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual analytics for the exploration of multiparametric cancer imaging",
        "date": "2014",
        "abstract": "Tumor  tissue  characterization  can  play  an  important  role  in  thediagnosis  and  design  of  effective  treatment  strategies.    In  orderto  gather  and  combine  the  necessary  tissue  information,  multi-modal  imaging  is  used  to  derive  a  number  of  parameters  indica-tive of tissue properties.  The exploration and analysis of relation-ships between parameters and, especially, of differences among dis-tinct intra-tumor regions is particularly interesting for clinical re-searchers to individualize tumor treatment.  However, due to highdata dimensionality and complexity, the current clinical workflowis time demanding and does not provide the necessary intra-tumorinsight.  We implemented a new application for the exploration ofthe relationships between parameters and heterogeneity within tu-mors.   In our approach,  we employ a well-known dimensionalityreduction technique [5] to map the high-dimensional space of tis-sue properties into a 2D information space that can be interactivelyexplored with integrated information visualization techniques.  Weconducted several usage scenarios with real-patient data, of whichwe  present  a  case  of  advanced  cervical  cancer.   First  indicationsshow that our application introduces new features and functionali-ties that are not available within the current clinical approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1410,
            1457,
            1458,
            679,
            459
        ],
        "journal": "In Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on Visualization",
        "research_areas": [
            "InfoVis",
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "raidou_vis14-paper.pdf",
                "type": "application/pdf",
                "size": 492922,
                "path": "Publication:raidou_vis14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/raidou_vis14-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/raidou_vis14-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/raidou_vis14/",
        "__class": "Publication"
    },
    {
        "id": "Rautek_Peter_2014_VSA",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "ViSlang: A System for Interpreted Domain-Specific Languages for Scientific Visualization",
        "date": "2014",
        "abstract": "Researchers from many domains use scientific visualization in their daily practice. Existing implementations of algorithms usually come with a graphical user interface (high-level interface), or as software library or source code (low-level interface). In this paper we present a system that integrates domain-specific languages (DSLs) and facilitates the creation of new DSLs. DSLs provide an effective interface for domain scientists avoiding the difficulties involved with low-level interfaces and at the same time offering more flexibility than high-level interfaces. We describe the design and implementation of ViSlang, an interpreted language specifically\r\ntailored for scientific visualization. A major contribution of our design is the extensibility of the ViSlang language. Novel DSLs that are tailored to the problems of the domain can be created and integrated into ViSlang. We show that our approach can be added to\r\nexisting user interfaces to increase the flexibility for expert users on demand, but at the same time does not interfere with the user experience of novice users. To demonstrate the flexibility of our approach we present new DSLs for volume processing, querying and visualization. We report the implementation effort for new DSLs and compare our approach with Matlab and Python implementations in terms of run-time performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166,
            226
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "12",
        "pages_from": "2388",
        "pages_to": "2396",
        "volume": "20",
        "research_areas": [],
        "keywords": [
            " Volume visualization framework ",
            " Volume visualization",
            "Domain-specific languages"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&amp;arnumber=6876040&amp;queryText%3DViSlang%3A+A+System+for+Interpreted+Domain-Specific+Languages+for+Scientific+Visualization",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Appendix A",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek_Peter_2014_VSA-Appendix A.pdf",
                "type": "application/pdf",
                "size": 109880,
                "path": "Publication:Rautek_Peter_2014_VSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix A:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Appendix B",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek_Peter_2014_VSA-Appendix B.htm",
                "type": "text/html",
                "size": 18759,
                "path": "Publication:Rautek_Peter_2014_VSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Appendix B.htm",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek_Peter_2014_VSA-Paper.pdf",
                "type": "application/pdf",
                "size": 8195263,
                "path": "Publication:Rautek_Peter_2014_VSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "Rautek_Peter_2014_VSA-Video.mp4",
                "type": "video/mp4",
                "size": 11612357,
                "path": "Publication:Rautek_Peter_2014_VSA",
                "preview_name": "Rautek_Peter_2014_VSA-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24288,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/Rautek_Peter_2014_VSA-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Rautek_Peter_2014_VSA/",
        "__class": "Publication"
    },
    {
        "id": "scheiblauer-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactions with Gigantic Point Clouds",
        "date": "2014",
        "abstract": "During the last decade the increased use of laser range-scanners for sampling the environment has led to gigantic point cloud data sets. Due to the size of such data sets, tasks like viewing, editing, or presenting the data have become a challenge per se, as the point data is too large to fit completely into the main memory of a customary computer system. In order to accomplish these tasks and enable the interaction with gigantic point clouds on consumer grade computer systems, this thesis presents novel methods and data structures for efficiently dealing with point cloud data sets consisting of more than 109 point samples. \r\n\r\nTo be able to access point samples fast that are stored on disk or in memory, they have to be spatially ordered, and for this a data structure is proposed which organizes the points samples in a level-of-detail hierarchy. Point samples stored in this hierarchy cannot only be rendered fast, but can also be edited, for example existing points can be deleted from the hierarchy or new points can be inserted. Furthermore, the data structure is memory efficient, as it only uses the point samples from the original data set. Therefore, the memory consumption of the point samples on disk, when stored in this data structure, is comparable to the original data set. A second data structure is proposed for selecting points. This data structure describes a volume inside which point samples are considered to be selected, and this has the advantage that the information about a selection does not have to be stored at the point samples. \r\n\r\nIn addition to these two previously mentioned data structures, which represent novel contributions for point data visualization and manipulation, methods for supporting the presentation of point data sets are proposed. With these methods the user experience can be enhanced when navigating through the data. One possibility to do this is by using regional meshes that employ an out-of-core texturing method to show details in the mesoscopic scale on the surface of sampled objects, and which are displayed together with point clouds. Another possibility to increase the user experience is to use graphs in 3D space, which helps users to orient themselves inside point cloud models of large sites, where otherwise it would be difficult to find the places of interest. Furthermore, the quality of the displayed point cloud models can be increased by using a point size heuristics that can mimic a closed surface in areas that would otherwise appear undersampled, by utilizing the density of the rendered points in the different areas of the point cloud model. \r\n\r\nFinally, the use of point cloud models as a tool for archaeological work is proposed. Since it becomes increasingly common to document archaeologically interesting monuments with laser scanners, the number application areas of the resulting point clouds is raising as well. These include, but are not limited to, new views of the monument that are impossible when studying the monument on-site, creating cuts and floor plans, or perform virtual anastylosis. \r\n\r\nAll these previously mentioned methods and data structures are implemented in a single software application that has been developed during the course of this thesis and can be used to interactively explore gigantic point clouds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Point model of the Wiener Stephansdom consisting of 460 million points",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1116,
            "image_height": 784,
            "name": "scheiblauer-thesis-image.png",
            "type": "image/png",
            "size": 736820,
            "path": "Publication:scheiblauer-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614
        ],
        "date_end": "2014-07",
        "date_start": "2006-12",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1326
        ],
        "rigorosum": "2014-07-18",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "point-based rendering",
            "out-of-core rendering",
            "data structures",
            "complexity analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Point model of the Wiener Stephansdom consisting of 460 million points",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1116,
                "image_height": 784,
                "name": "scheiblauer-thesis-image.png",
                "type": "image/png",
                "size": 736820,
                "path": "Publication:scheiblauer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 83650812,
                "path": "Publication:scheiblauer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/scheiblauer-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS",
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/scheiblauer-thesis/",
        "__class": "Publication"
    },
    {
        "id": "SCHUETZ-2014-RRLP",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Ridiculously Large Point Clouds over the Web",
        "date": "2014",
        "abstract": null,
        "authors_et_al": false,
        "substitute": "SCHUETZ-2016-POT",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116
        ],
        "date_start": "2014-08-07",
        "matrikelnr": "0825723",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "point-based rendering",
            "WebGL"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Harvest4D"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/SCHUETZ-2014-RRLP/",
        "__class": "Publication"
    },
    {
        "id": "silvana_2014",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Lighting Design For Photorealistic Rendering",
        "date": "2014",
        "abstract": "We present a novel technique to minimize the number of light sources\nin a virtual 3D scene without introducing any perceptible changes to it.\nThe theoretical part of the thesis\ngives an overview on previous research in the field of automated lighting\ndesign, followed by an introduction to the theory of rendering and genetic \nalgorithms. \nThe implementation is done as extension called \"Light Source Cleaner\"\nto LuxRender, a physically based, open-source renderer.\nThe algorithm adjusts the intensities of the light sources in a \nway that certain light sources can be canceled out, thus enabling to render \na similar image with significantly less number of light sources, \nintroducing a remarkable reduction to the execution time of scenes where many light sources are used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 400,
            "image_height": 300,
            "name": "silvana_2014-.png",
            "type": "image/png",
            "size": 88867,
            "path": "Publication:silvana_2014",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1130
        ],
        "date_end": "2014-02-01",
        "date_start": "2013-10-01",
        "matrikelnr": "0605836",
        "supervisor": [
            193,
            1073
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "photorealistic rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 400,
                "image_height": 300,
                "name": "silvana_2014-.png",
                "type": "image/png",
                "size": 88867,
                "path": "Publication:silvana_2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "silvana_2014-paper.pdf",
                "type": "application/pdf",
                "size": 5574577,
                "path": "Publication:silvana_2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/silvana_2014-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/silvana_2014/",
        "__class": "Publication"
    },
    {
        "id": "sippl-2014-fss",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Framework for Shape Segmentation",
        "date": "2014",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 770,
            "name": "sippl-2014-fss-image.png",
            "type": "image/png",
            "size": 378913,
            "path": "Publication:sippl-2014-fss",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1211
        ],
        "date_end": "2014-07-05",
        "date_start": "2014-03-12",
        "matrikelnr": "0421271 ",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "geometry processing",
            "shape segmentation",
            "shape processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "docu",
                "filetitle": "docu",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sippl-2014-fss-docu.pdf",
                "type": "application/pdf",
                "size": 525315,
                "path": "Publication:sippl-2014-fss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-docu.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-docu:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 770,
                "name": "sippl-2014-fss-image.png",
                "type": "image/png",
                "size": 378913,
                "path": "Publication:sippl-2014-fss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/sippl-2014-fss-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/sippl-2014-fss/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2014_DCGI",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analytic Rasterization",
        "date": "2014",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_from": "2014-04-30",
        "date_to": "2014-04-30",
        "event": "Invited Talk at Czech Technical University in Prague",
        "location": "Czech Technical University in Prague, Department of Computer Graphics and Interaction, Prague",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "antialiasing",
            "analytic",
            "prefiltering"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_DCGI/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2014_UJA",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPGPU in Graphics and Visualization",
        "date": "2014",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_from": "2014-10-15",
        "date_to": "2014-10-15",
        "event": "Invited Talk at Universidad de Jaén in Spain",
        "location": "Universidad de Jaén, Spain",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "GPGPU",
            "medical",
            "visualization",
            "antialiasing"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Auzinger_2014_UJA/",
        "__class": "Publication"
    },
    {
        "id": "BEHAM-2014-RCR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "CloudyDay: Rendering of clouds, atmosphere and light shafts in HDR for testing Computer Vision Algorithms",
        "date": "2014",
        "abstract": "Rendering of clouds, atmosphere, and other natural phenomenon is an important topic in computer graphics. In this technical report, we present a novel solution, which uses different techniques to generate a realistic representation of the sky. We present a billboard-based approach to create clouds. We use half-angle slicing to generate volumetric shadows. The resulting shadow map is then used for casting shadows on the terrain, the clouds, and other objects. We also use and compare different atmosphere models and providing light shafts. Furthermore, CloudyDay provides HDR mapping, a bloom effect, colour grading as well as some natural phenomenon like rain.\r\nWe develop CloudyDay to test an autonomous flying robot. We present several enhancements, which consider the specific requirements of this specific application area.  All objects can be created by an artist. This is great workflow, if a specific test-case should be created. However, creating a lot of different variations of an object is a time-consuming task. A more reasonable way is to create the shapes with procedural modelling. This technique enables to create objects (in this paper clouds, atmosphere,...) and vary the representation by varying the parameters. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 796,
            "image_height": 461,
            "name": "BEHAM-2014-RCR-.jpg",
            "type": "image/jpeg",
            "size": 30423,
            "path": "Publication:BEHAM-2014-RCR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            816
        ],
        "date_start": "2012-10-09",
        "matrikelnr": "0726417",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "cloud rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 796,
                "image_height": 461,
                "name": "BEHAM-2014-RCR-.jpg",
                "type": "image/jpeg",
                "size": 30423,
                "path": "Publication:BEHAM-2014-RCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BEHAM-2014-RCR-code.zip",
                "type": "application/zip",
                "size": 302354646,
                "path": "Publication:BEHAM-2014-RCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-code.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "BEHAM-2014-RCR-report.pdf",
                "type": "application/pdf",
                "size": 7099790,
                "path": "Publication:BEHAM-2014-RCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-report:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "userguide",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BEHAM-2014-RCR-userguide.pdf",
                "type": "application/pdf",
                "size": 2068824,
                "path": "Publication:BEHAM-2014-RCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-userguide.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/BEHAM-2014-RCR-userguide:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/BEHAM-2014-RCR/",
        "__class": "Publication"
    },
    {
        "id": "boesch_2014_browserHistoryVis",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Chaser: Chrome Extension for History Visualization",
        "date": "2014",
        "abstract": "Revisitation of previously requested URLs happens frequently and the most common list-view-based visualization of the user’s browsing history provided by nearly every internet browser cannot give a compact general view. For this reason we designed and implemented an extension for Chrome called The Chaser, by which an alternative visualization of the content is possible. The currently available add-ons / extensions have other aims to illustrate the history. Some of them are about to show the differences in quantity of called pages. Others give an overview of page paths and the user’s tracks from site to site. Our extension concentrates on helping finding a visited page and giving users a better overview of their called URLs. The user should get the ability to control the time-line with mouse gestures and/or keyboard input. After discarding a 3D prototype we came to the conclusion of designing a simple, self-explanatory time-based illustration with two dimensions. The x-axis represents the time with different levels of detail and the y-axis the visited hosts. After performing an evaluation with six probands where The Chaser’s visualization and its efficiency was compared to the standard list-view, all of them would prefer our extension against the standard history view.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 500,
            "image_height": 369,
            "name": "boesch_2014_browserHistoryVis-.png",
            "type": "image/png",
            "size": 284156,
            "path": "Publication:boesch_2014_browserHistoryVis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1174
        ],
        "date_end": "2014-08",
        "date_start": "2014-01",
        "matrikelnr": "1025952",
        "supervisor": [
            1110
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 500,
                "image_height": 369,
                "name": "boesch_2014_browserHistoryVis-.png",
                "type": "image/png",
                "size": 284156,
                "path": "Publication:boesch_2014_browserHistoryVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "boesch_2014_browserHistoryVis-thesis.pdf",
                "type": "application/pdf",
                "size": 26739277,
                "path": "Publication:boesch_2014_browserHistoryVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/boesch_2014_browserHistoryVis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/boesch_2014_browserHistoryVis/",
        "__class": "Publication"
    },
    {
        "id": "mindek_peter-2014-cs_kaust",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Managing Spatial Selections with Contextual Snapshots",
        "date": "2014",
        "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections often depend on specific parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can also be used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with well-defined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data, the analysis of historical documents, and the display of anatomical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 153,
            "name": "mindek_peter-2014-cs_kaust-.png",
            "type": "image/png",
            "size": 77248,
            "path": "Publication:mindek_peter-2014-cs_kaust",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2014-02-12",
        "event": "Scientific meeting of Visual Computing Center",
        "location": "King Abdullah University of Science and Technology, Saudi Arabia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 153,
                "name": "mindek_peter-2014-cs_kaust-.png",
                "type": "image/png",
                "size": 77248,
                "path": "Publication:mindek_peter-2014-cs_kaust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides + Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek_peter-2014-cs_kaust-Slides + Video.zip",
                "type": "application/zip",
                "size": 23651573,
                "path": "Publication:mindek_peter-2014-cs_kaust",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/mindek_peter-2014-cs_kaust-Slides + Video.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek_peter-2014-cs_kaust/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2014-vivi_cvut",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "ViviSection: Skeleton-based Volume Editing",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 275,
            "image_height": 276,
            "name": "mindek-2014-vivi_cvut-.png",
            "type": "image/png",
            "size": 116148,
            "path": "Publication:mindek-2014-vivi_cvut",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2014-05-28",
        "event": "Scientific meeting of Department of Computer Graphics and Interaction",
        "location": "Czech Technical University in Prague",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 275,
                "image_height": 276,
                "name": "mindek-2014-vivi_cvut-.png",
                "type": "image/png",
                "size": 116148,
                "path": "Publication:mindek-2014-vivi_cvut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/mindek-2014-vivi_cvut-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-2014-vivi_cvut/",
        "__class": "Publication"
    },
    {
        "id": "mindek-xmas-card-2014",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2014",
        "date": "2014",
        "abstract": "This greeting card shows a Christmas preparation scene - the origin of the Christmas tree. Don't feel bad for the tree! In fact, it is happy to bring joy to children and get fancy makeup too. It is just a bit shocked at this moment.\r\nIn the sky we see several constellations. From left, there are Encephalon, Maestros, Pelvis, and Infans. The interpretations of the constellations are created through medical-visualization technology. Even though these constellations have not yet been discovered, they might be one day.\r\n\r\nDiese Grußkarte zeigt eine Weihnachtsvorbereitungsszene - der Ursprung des Weihnachtsbaumes. Sie brauchen den Baum nicht zu bedauern! Tatsächlich ist er froh, Kinder glücklich zu machen und schön geschmückt zu werden. Er ist nur in diesem Moment ein wenig geschockt.\r\nAm Himmel sieht man mehrere Sternzeichen. Von links nach rechts sind das Encephalon, Maestros, Pelvis und Infans. Die Interpretationen wurden durch medizinische Visualisierungen erzeugt. Zwar wurden diese Sternbilder bisher noch nicht entdeckt, das könnte sich aber eines Tages ändern.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 640,
            "image_height": 451,
            "name": "mindek-xmas-card-2014-.png",
            "type": "image/png",
            "size": 296141,
            "path": "Publication:mindek-xmas-card-2014",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 640,
                "image_height": 451,
                "name": "mindek-xmas-card-2014-.png",
                "type": "image/png",
                "size": 296141,
                "path": "Publication:mindek-xmas-card-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Picture",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1128,
                "name": "mindek-xmas-card-2014-Picture.png",
                "type": "image/png",
                "size": 1615126,
                "path": "Publication:mindek-xmas-card-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-Picture:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "X-Mas card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-xmas-card-2014-X-Mas card.pdf",
                "type": "application/pdf",
                "size": 53097916,
                "path": "Publication:mindek-xmas-card-2014",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/mindek-xmas-card-2014-X-Mas card:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mindek-xmas-card-2014/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2014-ekc",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Vessel Visualization",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869
        ],
        "date_from": "2014-07-24",
        "date_to": "2014-07-24",
        "event": "EU-Korea Conference on Science and Technology",
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/mistelbauer-2014-ekc/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer_2014_AOR",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application Oriented Research at the VRVis Center",
        "date": "2014",
        "abstract": "The talk will describe how the VRVis Research Center was founded and how it functions today. Several application driven projects are outlined and some nice results are shown. He will also discuss the role of application oriented research institutions in the innovation pipeline, and the role and composition of the company partners will be explained. Finally, he will outline main requirements for the necessary qualifications of researchers at an application oriented research institution.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2014-01-22",
        "event": "The Visualization and Data Analysis group of the University of Vienna",
        "location": "HS3, Währinger Str. 29, Informatik, Uni Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer_2014_AOR/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-ETH",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Aspects of Scientific Research in Cooperation with Companies",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2014-07-04",
        "event": "20 Year Anniversary of CGL at ETH",
        "location": "Zürich, Switzerland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-ETH/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-EurasiaGr",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accurate Fast Simulation of Light",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2014-10-14",
        "event": "Eurasia Graphics",
        "location": "Ankara, Turkey",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-EurasiaGr/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2014-Pantalk",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Requirements on the Staff of an Application Oriented Research Organization",
        "date": "2014",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2014-05-27",
        "event": "Current Issues of Science and Research in the Global World 2014",
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2014/Purgathofer-2014-Pantalk/",
        "__class": "Publication"
    },
    {
        "id": "giefing_juergen-2013-ba",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physics-based Music Visualization",
        "date": "2013-12-01",
        "abstract": "Historically, there have been a number of approaches to analyze and explain the relationship\nbetween music and visual elements, particularly colors. Arnheim [1] has done important work\nin that context, as well as Palmer and Schloss [10] [16] [14] [13]. Palmer has shown in his ex-\nperiments, that music and color are coupled through emotion, like Arnheim had assumed before.\nThe goal of this thesis was to investigate this connection more in detail by considering also other\nvisual parameters like motion, shape or size and to implement a prototype of a visualization\napplication based on the insights gathered during our user studies. This application should be\nable to visualize music based on a flexible mapping and psychological knowledge. During the\nfirst part of our user studies, test persons were asked to rate parts of songs as well as animations\nwithout sound independent from each other but using the same rating scales. The results show\nstrong correlations between single attributes and the perception of the test persons. During the\nsecond part of the user studies, the test persons were asked to rate the accordance between the\nsongs from the first round and the visualizations created based on the results of the first round.\nOur assumptions could not be confirmed in that experiment. We try to determine the reasons,\nwhy the results of the second round were not as expected and what steps could be taken to refine\nour approach and implement it in a successful manner.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 615,
            "image_height": 474,
            "name": "giefing_juergen-2013-ba-image.png",
            "type": "image/png",
            "size": 25719,
            "path": "Publication:giefing_juergen-2013-ba",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1043
        ],
        "date_end": "2013-12-20",
        "date_start": "2012-10-15",
        "matrikelnr": "9805067",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "music",
            "visualization",
            "emotions"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 615,
                "image_height": 474,
                "name": "giefing_juergen-2013-ba-image.png",
                "type": "image/png",
                "size": 25719,
                "path": "Publication:giefing_juergen-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "giefing_juergen-2013-ba-thesis.pdf",
                "type": "application/pdf",
                "size": 425654,
                "path": "Publication:giefing_juergen-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/giefing_juergen-2013-ba-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/giefing_juergen-2013-ba/",
        "__class": "Publication"
    },
    {
        "id": "schmid_andreas_2013-prj",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physics-based Music Visualization",
        "date": "2013-12-01",
        "abstract": "The aim of our bachelor thesis was to develop a concept on the basic structure of software that\nvisualizes human emotions when listening to music into graphic primitives. Our prototype of\nthis visual media player allows the user to read data from a music file and map this data into a\nfile that converts it to special forms, colors and transformations.\nThis goal was accomplished with special commands and a modifiable theme. With these tools,\nthe user can completely control the visualization. The commands describe the options of what\ncan be accomplished with the software. In our case, they create primitive forms, move them,\nand change their color. The theme shows what the program is able to display. Two examples of\nthis prototype are the textual theme and the graphical theme.\nIn the first user study, the users were asked to listen to short music files or watch some short\nanimations and to evaluate those. This data was then transferred to a mapping file and taken\nas basis for a second user study. In the second user study, the users had to evaluate five media\nplayers, including ours, using two different mappings - one was their visualization and the other\nan evaluation on if music and visualization match. The results were not as expected - the users\nevaluated the existing media players better than our prototype in visualization-music mapping.\nWe are analyzing the results and working on redesigning our algorithms in order to have a more\nsuccessful prototype.\nIn this bachelor thesis, there is also an analysis of the libraries used. The prototype can be used\nas a basis for future work in this field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 841,
            "image_height": 476,
            "name": "schmid_andreas_2013-prj-image.jpg",
            "type": "image/jpeg",
            "size": 25132,
            "path": "Publication:schmid_andreas_2013-prj",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1042
        ],
        "date_end": "2013-12-20",
        "date_start": "2012-10-15",
        "matrikelnr": "0725136",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [],
        "keywords": [
            "sound",
            "visualization",
            "physics-based"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 841,
                "image_height": 476,
                "name": "schmid_andreas_2013-prj-image.jpg",
                "type": "image/jpeg",
                "size": 25132,
                "path": "Publication:schmid_andreas_2013-prj",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmid_andreas_2013-prj-thesis.pdf",
                "type": "application/pdf",
                "size": 584419,
                "path": "Publication:schmid_andreas_2013-prj",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/schmid_andreas_2013-prj-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schmid_andreas_2013-prj/",
        "__class": "Publication"
    },
    {
        "id": "reh-2013",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "MObjects - A Novel Method for the Visualization and Interactive Exploration of Defects in Industrial XCT Data",
        "date": "2013-12",
        "abstract": "This paper describes an advanced visualization method for the analysis of defects in industrial 3D X-Ray Computed Tomography (XCT) data. We present a novel way to explore a high number of individual objects in a dataset, e.g., pores, inclusions, particles, fibers, and cracks demonstrated on the special application area of pore extraction in carbon fiber reinforced polymers (CFRP). After calculating the individual object properties volume, dimensions and shape factors, all objects are clustered into a mean object (MObject). The resulting MObject parameter space can be explored interactively. To do so, we introduce the visualization of mean object sets (MObject Sets) in a radial and a parallel arrangement. Each MObject may be split up into sub-classes by selecting a specific property, e.g., volume or shape factor, and the desired number of classes. Applying this interactive selection iteratively leads to the intended classifications and visualizations of MObjects along the selected analysis path. Hereby the given different scaling factors of the MObjects down the analysis path are visualized through a visual linking approach. Furthermore the representative MObjects are exported as volumetric datasets to serve as input for successive calculations and simulations. In the field of porosity determination in CFRP non-destructive testing practitioners use representative MObjects to improve ultrasonic calibration curves. Representative pores also serve as input for heat conduction simulations in active thermography. For a fast overview of the pore properties in a dataset we propose a local MObjects visualization in combination with a color-coded homogeneity visualization of cells. The advantages of our novel approach are demonstrated using real world CFRP specimens. The results were evaluated through a questionnaire in order to determine the practicality of the MObjects visualization as a supportive tool for domain specialists.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1444,
            "image_height": 810,
            "name": "reh-2013-.jpg",
            "type": "image/jpeg",
            "size": 410157,
            "path": "Publication:reh-2013",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1054,
            1166,
            613,
            166,
            611
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-18",
        "event": "IEEE Scientific Visualization 2013",
        "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)",
        "lecturer": [
            1054
        ],
        "location": "Atlanta, Georgia, USA",
        "number": "12",
        "pages_from": "2906",
        "pages_to": "2915",
        "volume": "19",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "porosity",
            "carbon fiber reinforced polymers",
            "parameter space analysis",
            "MObjects",
            "3D X-ray computed tomography"
        ],
        "weblinks": [
            {
                "href": "http://www.computer.org/csdl/trans/tg/2013/12/ttg2013122906-abs.html",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": " paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1444,
                "preview_image_height": 810,
                "name": "reh-2013- paper.pdf",
                "type": "application/pdf",
                "size": 5699027,
                "path": "Publication:reh-2013",
                "preview_name": "reh-2013- paper:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 410157,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": " video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "reh-2013- video.avi",
                "type": "video/x-msvideo",
                "size": 12766740,
                "path": "Publication:reh-2013",
                "preview_name": "reh-2013- video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 25845,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013- video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1444,
                "image_height": 810,
                "name": "reh-2013-.jpg",
                "type": "image/jpeg",
                "size": 410157,
                "path": "Publication:reh-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "evaluation questionnaire",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "reh-2013-evaluation questionnaire.pdf",
                "type": "application/pdf",
                "size": 1489502,
                "path": "Publication:reh-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/reh-2013-evaluation questionnaire:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/reh-2013/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2013-c2d",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganised 2D Points",
        "date": "2013-12",
        "abstract": "We present an efficient algorithm for determining an aesthetically pleasing shape boundary connecting all the points in a given unorganised set of 2D points, with no other information than point coordinates. By posing shape construction as a minimisation problem which follows the Gestalt laws, our desired shape Bmin is non-intersecting, interpolates all points and minimises a criterion related to these laws. The basis for our algorithm is an initial graph, an extension of the Euclidean minimum spanning tree but with no leaf nodes, called as the minimum boundary complex BCmin. BCmin and Bmin can be expressed similarly by parametrising a topological constraint. A close approximation of BCmin, termed BC0 can be computed fast using a greedy algorithm. BC0 is then transformed into a closed interpolating boundary Bout in two steps to satisfy Bmin’s topological and minimization requirements. Computing Bmin exactly is an NP-hard problem, whereas Bout is computed in linearithmic time. We present many examples showing considerable improvement over previous techniques, especially for shapes with sharp corners. Source code is available online.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1300,
            "image_height": 446,
            "name": "ohrhallinger_stefan-2013-c2d-image.png",
            "type": "image/png",
            "size": 10331,
            "path": "Publication:ohrhallinger_stefan-2013-c2d",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1024
        ],
        "date_from": "2013-06-19",
        "date_to": "2013-06-21",
        "event": "Eurographics Symposium on Rendering 2013",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            948
        ],
        "location": "Zaragpza, Spain",
        "number": "8",
        "pages_from": "72",
        "pages_to": "88",
        "volume": "32",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "curve reconstruction",
            "boundary representation",
            "sampling condition",
            "computational geometry"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12162/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1300,
                "image_height": 446,
                "name": "ohrhallinger_stefan-2013-c2d-image.png",
                "type": "image/png",
                "size": 10331,
                "path": "Publication:ohrhallinger_stefan-2013-c2d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-c2d-paper.pdf",
                "type": "application/pdf",
                "size": 817121,
                "path": "Publication:ohrhallinger_stefan-2013-c2d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides-ODP",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-c2d-slides-ODP.odp",
                "type": "application/octet-stream",
                "size": 5882829,
                "path": "Publication:ohrhallinger_stefan-2013-c2d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-ODP.odp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "slides-PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-c2d-slides-PDF.pdf",
                "type": "application/pdf",
                "size": 2308259,
                "path": "Publication:ohrhallinger_stefan-2013-c2d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-slides-PDF:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "source code",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-c2d-source code.html",
                "type": "text/plain",
                "size": 95,
                "path": "Publication:ohrhallinger_stefan-2013-c2d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/ohrhallinger_stefan-2013-c2d-source code.html",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-c2d/",
        "__class": "Publication"
    },
    {
        "id": "vaico",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "VAICo: Visual Analysis for Image Comparison",
        "date": "2013-12",
        "abstract": "Scientists, engineers, and analysts are confronted with ever larger and more complex sets of data, whose analysis poses special challenges. In many situations it is necessary to compare two or more datasets. Hence there is a need for comparative visualization tools to help analyze differences or similarities among datasets. In this paper an approach for comparative visualization for sets of images is presented. Well-established techniques for comparing images frequently place them side-by-side. A major drawback of such approaches is that they do not scale well. Other image comparison methods encode differences in images by abstract parameters like color. In this case information about the underlying image data gets lost. This paper introduces a new method for visualizing differences and similarities in large sets of images which preserves contextual information, but also allows the detailed analysis of subtle variations. Our approach identifies local changes and applies cluster analysis techniques to embed them in a hierarchy. The results of this process are then presented in an interactive web application which allows users to rapidly explore the space of differences and drill-down on particular features. We demonstrate the flexibility of our approach by applying it to multiple distinct domains.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 400,
            "image_height": 289,
            "name": "vaico-teaser.png",
            "type": "image/png",
            "size": 206295,
            "path": "Publication:vaico",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            950,
            166,
            161
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-18",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            950
        ],
        "note": "Demo: http://www.cg.tuwien.ac.at/~jschmidt/vaico/",
        "number": "12",
        "pages_from": "2090",
        "pages_to": "2099",
        "volume": "19",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "focus+context",
            "image-set comparison",
            "Comparative visualization"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2013.213",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Fast-Forward Video - 30s - 8MB - WMV",
                "filetitle": "fast-forward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 455,
                "name": "vaico-fast-forward.wmv",
                "type": "application/octet-stream",
                "size": 8632046,
                "path": "Publication:vaico",
                "preview_name": "vaico-fast-forward:preview.png",
                "preview_type": "image/png",
                "preview_size": 1094300,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-fast-forward.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-fast-forward:thumb{{size}}.png"
            },
            {
                "description": "Final version of the paper - 9MB",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 505,
                "preview_image_height": 364,
                "name": "vaico-paper.pdf",
                "type": "application/pdf",
                "size": 9210255,
                "path": "Publication:vaico",
                "preview_name": "vaico-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 109248,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-paper:thumb{{size}}.png"
            },
            {
                "description": "Dataset Puzzle: Our approach identified all objects in the scene which are not present in all images or change their color.",
                "filetitle": "results-puzzle",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1079,
                "image_height": 777,
                "name": "vaico-results-puzzle.png",
                "type": "image/png",
                "size": 998819,
                "path": "Publication:vaico",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-puzzle.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-puzzle:thumb{{size}}.png"
            },
            {
                "description": "Dataset Satellite: Our approach identified the satellite image which shows damage caused by a tsunami on a coast-line in Indonesia.",
                "filetitle": "results-satellite",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 844,
                "image_height": 689,
                "name": "vaico-results-satellite.png",
                "type": "image/png",
                "size": 364908,
                "path": "Publication:vaico",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-satellite.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-results-satellite:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 400,
                "image_height": 289,
                "name": "vaico-teaser.png",
                "type": "image/png",
                "size": 206295,
                "path": "Publication:vaico",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-teaser:thumb{{size}}.png"
            },
            {
                "description": "Demo Video - 3:50min - 27MB - DivX5",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 960,
                "preview_image_height": 720,
                "name": "vaico-video.avi",
                "type": "video/x-msvideo",
                "size": 27666804,
                "path": "Publication:vaico",
                "preview_name": "vaico-video:preview.png",
                "preview_type": "image/png",
                "preview_size": 187664,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/vaico-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/vaico/",
        "__class": "Publication"
    },
    {
        "id": "kehrer-2013-SBC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Model for Structure-based Comparison of Many Categories in Small-Multiple Displays",
        "date": "2013-12",
        "abstract": "Many application domains deal with multi-variate data that consists of both categorical and numerical information. Small-multiple\ndisplays are a powerful concept for comparing such data by juxtaposition. For comparison by overlay or by explicit encoding\nof computed differences, however, a specification of references is necessary. In this paper, we present a formal model for defining\nsemantically meaningful comparisons between many categories in a small-multiple display. Based on pivotized data that are hierarchically\npartitioned by the categories assigned to the x and y axis of the display, we propose two alternatives for structure-based\ncomparison within this hierarchy. With an absolute reference specification, categories are compared to a fixed reference category.\nWith a relative reference specification, in contrast, a semantic ordering of the categories is considered when comparing them either to\nthe previous or subsequent category each. Both reference specifications can be defined at multiple levels of the hierarchy (including\naggregated summaries), enabling a multitude of useful comparisons. We demonstrate the general applicability of our model in several\napplication examples using different visualizations that compare data by overlay or explicit encoding of differences.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 759,
            "image_height": 903,
            "name": "kehrer-2013-SBC-image.jpg",
            "type": "image/jpeg",
            "size": 208520,
            "path": "Publication:kehrer-2013-SBC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            451,
            961,
            166
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-18",
        "event": "IEEE Information Visualization Conference",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            983
        ],
        "location": "Atlanta, Georgia, USA",
        "number": "12",
        "pages_from": "2287",
        "pages_to": "2296",
        "volume": "19",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2013.122",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "curve",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 718,
                "image_height": 723,
                "name": "kehrer-2013-SBC-curve.jpg",
                "type": "image/jpeg",
                "size": 151440,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-curve.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-curve:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kehrer-2013-SBC-Draft.pdf",
                "type": "application/pdf",
                "size": 3534876,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 759,
                "image_height": 903,
                "name": "kehrer-2013-SBC-image.jpg",
                "type": "image/jpeg",
                "size": 208520,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "parameters",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 720,
                "image_height": 603,
                "name": "kehrer-2013-SBC-parameters.jpg",
                "type": "image/jpeg",
                "size": 139132,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-parameters.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-parameters:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "scatterplots",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 720,
                "image_height": 674,
                "name": "kehrer-2013-SBC-scatterplots.jpg",
                "type": "image/jpeg",
                "size": 118024,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-scatterplots.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-scatterplots:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "ship",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1400,
                "image_height": 287,
                "name": "kehrer-2013-SBC-ship.jpg",
                "type": "image/jpeg",
                "size": 182548,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-ship.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-ship:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kehrer-2013-SBC-Slides.pdf",
                "type": "application/pdf",
                "size": 1863926,
                "path": "Publication:kehrer-2013-SBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/kehrer-2013-SBC-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-SBC/",
        "__class": "Publication"
    },
    {
        "id": "knecht_2013_RSM",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reciprocal Shading for Mixed Reality",
        "date": "2013-12",
        "abstract": "Reciprocal shading for mixed reality aims to integrate virtual objects into real environments in a way that they are in the ideal case indistinguishable from real objects. It is therefore an attractive technology for architectural visualizations, product visualizations and for cultural heritage sites, where virtual objects should be seamlessly merged with real ones. Due to the improved performance of recent graphics hardware, real-time global illumination algorithms are feasible for mixed-reality applications, and thus more and more researchers address realistic rendering for mixed reality.\n\nThe goal of this thesis is to provide algorithms which improve the visual plausibility of virtual objects in mixed-reality applications. Our contributions are as follows:\n\nFirst, we present five methods to reconstruct the real surrounding environment. In particular,\nwe present two methods for geometry reconstruction, a method for material estimation at interactive frame rates and two methods to reconstruct the color mapping characteristics of the video see-through camera.\n\nSecond, we present two methods to improve the visual appearance of virtual objects. The first, called differential instant radiosity, combines differential rendering with a global illumination method called instant radiosity to simulate reciprocal shading effects such as shadowing and indirect illumination between real and virtual objects. The second method focuses on the visual\nplausible rendering of reflective and refractive objects. The high-frequency lighting effects caused by these objects are also simulated with our method.\n\nThe third part of this thesis presents two user studies which evaluate the influence of the presented\nrendering methods on human perception. The first user study measured task performance with respect to the rendering mode, and the second user study was set up as a web survey where\nparticipants had to choose which of two presented images, showing mixed-reality scenes, they preferred.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736
        ],
        "co_supervisor": [
            1299
        ],
        "date_end": "2013-12",
        "date_start": "2009-08",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1299
        ],
        "rigorosum": "2013-12-19",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_2013_RSM-Thesis.pdf",
                "type": "application/pdf",
                "size": 69715044,
                "path": "Publication:knecht_2013_RSM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/knecht_2013_RSM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_2013_RSM/",
        "__class": "Publication"
    },
    {
        "id": "koehle-2013-sgv",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spatiotemporal genealogy visualization",
        "date": "2013-12",
        "abstract": "The focus of conventional genealogy visualization techniques lies on showing genera-\r\ntional and perhaps temporal relationships. A family tree, for instance, perfectly shows dates\r\nof birth and death of a person, who is the child of whom, as well as marriages and divorces.\r\nBut to fully understand an individual’s life, it is important to know some more facts: Where\r\nwas the person born? When did she or he leave home? How often and where to did that\r\nperson move? Where did people meet?\r\nWe propose a combination of a space-time cube and a timeline visualization to be able\r\nto actually see a person’s life. The timeline visualization shows generational and temporal\r\nrelationships, where the space-time cube visualizes spatial relationships and movements of\r\na single person as well as those of whole families. Event clouds (additional information\r\nlayers for historic events) can further show possible connections between such events and\r\nmigration of a person/family.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 370,
            "preview_image_height": 349,
            "name": "koehle-2013-sgv-thesis.pdf",
            "type": "application/pdf",
            "size": 1221027,
            "path": "Publication:koehle-2013-sgv",
            "preview_name": "koehle-2013-sgv-thesis:preview.png",
            "preview_type": "image/png",
            "preview_size": 22908,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1125
        ],
        "date_end": "2013-12",
        "date_start": "2013-05",
        "matrikelnr": "0426554",
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [
            "spatio-temporal visualization",
            "genealogy "
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 370,
                "preview_image_height": 349,
                "name": "koehle-2013-sgv-thesis.pdf",
                "type": "application/pdf",
                "size": 1221027,
                "path": "Publication:koehle-2013-sgv",
                "preview_name": "koehle-2013-sgv-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 22908,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/koehle-2013-sgv-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koehle-2013-sgv/",
        "__class": "Publication"
    },
    {
        "id": "hauer_alex-2013-ba",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physics-based Music Visualization",
        "date": "2013-12",
        "abstract": "The aim of this bachelor’s thesis is to point out ways on how to extract distinct bits of information\nout of a song and how to combine them to create single parameters that reflect the currently\ntransported emotion of the song.\nIt presents approaches on how to extract certain information and data from MIDI and audio\nfiles that can then be used to create a more physics-based and naturally feeling visualization than\nthe one that gets shipped with today’s common music player software, with a strong focus on\nMIDI.\nFor example, the currently used scale should have an impact on the visualization’s color,\nas well as the current tempo, dynamic or aggressivity. Representing these attributes as input\nparameters that can be used by a visualization application should ultimately result in a better\nvisualization experience for the viewer, because it creates a feeling that the things seen on screen\nmatch with the music currently playing.\nBesides defining such input parameters for visualizations, this paper also provides a short\nevaluation of music feature extraction libraries and frameworks that help in reaching the men-\ntioned goal, as well as a few concrete implementations of algorithms that can be used to extract\nsuch features based on the jMusic API framework.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1044
        ],
        "date_end": "2013-12-20",
        "date_start": "2012-10-15",
        "matrikelnr": "0725136",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "feature extraction",
            "music",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 777,
                "image_height": 529,
                "name": "hauer_alex-2013-ba-image.jpg",
                "type": "image/jpeg",
                "size": 30329,
                "path": "Publication:hauer_alex-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hauer_alex-2013-ba-thesis.pdf",
                "type": "application/pdf",
                "size": 570296,
                "path": "Publication:hauer_alex-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/hauer_alex-2013-ba-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hauer_alex-2013-ba/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_Mistelbauer_2013_CSR",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vessel Visualization using Curved Surface Reformation",
        "date": "2013-12",
        "abstract": "Visualizations of vascular structures are frequently used in radiological investigations to detect and analyze vascular diseases. Obstructions of the blood flow through a vessel are one of the main interests of physicians, and several methods have been proposed to aid the visual assessment of calcifications on vessel walls. Curved Planar Reformation (CPR) is a wide-spread method that is designed for peripheral arteries which exhibit one dominant direction. To analyze the lumen of arbitrarily oriented vessels, Centerline Reformation (CR) has been proposed. Both methods project the vascular structures into 2D image space in order to reconstruct the vessel lumen. In this paper, we propose Curved Surface Reformation (CSR), a technique that computes the vessel lumen fully in 3D. This offers high-quality interactive visualizations of vessel lumina and does not suffer from problems of earlier methods such as ambiguous visibility cues or premature discretization of centerline data. Our method maintains exact visibility information until the final query of the 3D lumina data. We also present feedback from several domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1111,
            "image_height": 1112,
            "name": "Auzinger_Mistelbauer_2013_CSR-Image.png",
            "type": "image/png",
            "size": 611903,
            "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            869,
            1049,
            1047,
            169,
            193,
            166,
            161
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-18",
        "event": "IEEE Scientific Visualization 2013",
        "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Scientific Visualization 2013)",
        "lecturer": [
            808,
            869
        ],
        "location": "Atlanta, Georgia, USA",
        "number": "12",
        "pages_from": "2858",
        "pages_to": "2867",
        "volume": "19",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Surface Approximation",
            "Vessel",
            "Reformation",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visualization of our cost function for a synthetic trefoil knot vessel. For a viewer located above the know, the value of the cost function on the cut surface is depicted by the depth.",
                "filetitle": "Cost function",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1200,
                "name": "Auzinger_Mistelbauer_2013_CSR-Cost function.png",
                "type": "image/png",
                "size": 236952,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Cost function.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Cost function:thumb{{size}}.png"
            },
            {
                "description": "CSR applied to various medical data sets (high quality - 74 MB - DivX codec).",
                "filetitle": "demo-video_high-quality",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 175,
                "preview_image_height": 109,
                "name": "Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality.avi",
                "type": "video/x-msvideo",
                "size": 77161386,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "preview_name": "Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 2055,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video_high-quality:video.mp4"
            },
            {
                "description": "CSR applied to various medical data sets (low quality - 19 MB - DivX codec).",
                "filetitle": "demo-video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 175,
                "preview_image_height": 109,
                "name": "Auzinger_Mistelbauer_2013_CSR-demo-video.avi",
                "type": "video/x-msvideo",
                "size": 19553290,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "preview_name": "Auzinger_Mistelbauer_2013_CSR-demo-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 2055,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-demo-video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1111,
                "image_height": 1112,
                "name": "Auzinger_Mistelbauer_2013_CSR-Image.png",
                "type": "image/png",
                "size": 611903,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Image:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 198,
                "preview_image_height": 256,
                "name": "Auzinger_Mistelbauer_2013_CSR-Paper.pdf",
                "type": "application/pdf",
                "size": 14364258,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "preview_name": "Auzinger_Mistelbauer_2013_CSR-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 61094,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Paper:thumb{{size}}.png"
            },
            {
                "description": "The questionnaire, which was used for our evaluation.",
                "filetitle": "Questionnaire",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 181,
                "preview_image_height": 256,
                "name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf",
                "type": "application/pdf",
                "size": 13937494,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "preview_name": "Auzinger_Mistelbauer_2013_CSR-Questionnaire:preview.png",
                "preview_type": "image/png",
                "preview_size": 32308,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Questionnaire:thumb{{size}}.png"
            },
            {
                "description": "CSR applied to a medical volume data set of the bifurcation of the human abdominal aorta.",
                "filetitle": "Result image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1111,
                "image_height": 1112,
                "name": "Auzinger_Mistelbauer_2013_CSR-Result image.png",
                "type": "image/png",
                "size": 611903,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Result image:thumb{{size}}.png"
            },
            {
                "description": "The teaser image shows an application of our method to a medical volume data set of the bifurcation of the human abdominal aorta. A 3D direct volume rendering with the surface of the vessel tree is shown on the left. The right three images depict CSR for different view directions.",
                "filetitle": "Teaser image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1852,
                "preview_image_height": 545,
                "name": "Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf",
                "type": "application/pdf",
                "size": 3026131,
                "path": "Publication:Auzinger_Mistelbauer_2013_CSR",
                "preview_name": "Auzinger_Mistelbauer_2013_CSR-Teaser image:preview.png",
                "preview_type": "image/png",
                "preview_size": 941957,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/Auzinger_Mistelbauer_2013_CSR-Teaser image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_Mistelbauer_2013_CSR/",
        "__class": "Publication"
    },
    {
        "id": "Calatrava_2013_GPGPUSOA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "General-Purpose Graphics Processing Units in Service-Oriented Architectures",
        "date": "2013-12",
        "abstract": "Over the last decades, graphics processing units have developed from special-purpose graphics accelerators to general-purpose massively parallel co-processors. In recent years they gained increased traction in high performance computing as they provide superior computational performance in terms of runtime and energy consumption for a wide range of problems. In this survey, we review their employment in distributed computing for a broad range of application scenarios. Common characteristics and a classification of the most relevant use cases are described. Furthermore, we discuss possible future developments of the use of general purpose graphics processing units in the area of service-oriented architecture. The aim of this work is to inspire future research in this field and to give guidelines on when and how to incorporate this new hardware technology.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 4371,
            "image_height": 1394,
            "preview_image_width": 256,
            "preview_image_height": 82,
            "name": "Calatrava_2013_GPGPUSOA-teaser.png",
            "type": "image/png",
            "size": 83141,
            "path": "Publication:Calatrava_2013_GPGPUSOA",
            "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png",
            "preview_type": "image/png",
            "preview_size": 20252,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1126,
            808
        ],
        "booktitle": "Proceedings of the 6th IEEE International Conference on Service Oriented Computing and Applications",
        "date_from": "2013-12-16",
        "date_to": "2013-12-18",
        "isbn": "978-1-4799-2701-2",
        "lecturer": [
            1126,
            808
        ],
        "location": "Kauai",
        "organization": "IEEE Computer Society",
        "publisher": "IEEE Computer Society",
        "series": "SOCA ",
        "research_areas": [],
        "keywords": [
            "GPGPU",
            "SOA",
            "parallel",
            "graphics processors",
            "GPU",
            "service-oriented architectures",
            "throughput computing",
            "survey",
            "future"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "An overview of the most relevant features of the hardware architecture of recent graphics processing units.",
                "filetitle": "GPU Architecture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 4371,
                "image_height": 1394,
                "preview_image_width": 256,
                "preview_image_height": 82,
                "name": "Calatrava_2013_GPGPUSOA-GPU Architecture.png",
                "type": "image/png",
                "size": 83141,
                "path": "Publication:Calatrava_2013_GPGPUSOA",
                "preview_name": "Calatrava_2013_GPGPUSOA-GPU Architecture:preview.png",
                "preview_type": "image/png",
                "preview_size": 20252,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-GPU Architecture:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 198,
                "preview_image_height": 256,
                "name": "Calatrava_2013_GPGPUSOA-paper.pdf",
                "type": "application/pdf",
                "size": 1158208,
                "path": "Publication:Calatrava_2013_GPGPUSOA",
                "preview_name": "Calatrava_2013_GPGPUSOA-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 57545,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-paper:thumb{{size}}.png"
            },
            {
                "description": "teaser",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4371,
                "image_height": 1394,
                "preview_image_width": 256,
                "preview_image_height": 82,
                "name": "Calatrava_2013_GPGPUSOA-teaser.png",
                "type": "image/png",
                "size": 83141,
                "path": "Publication:Calatrava_2013_GPGPUSOA",
                "preview_name": "Calatrava_2013_GPGPUSOA-teaser:preview.png",
                "preview_type": "image/png",
                "preview_size": 20252,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/Calatrava_2013_GPGPUSOA-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Calatrava_2013_GPGPUSOA/",
        "__class": "Publication"
    },
    {
        "id": "Dogangonul-2013-sparkGL",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shading Framework for Modern Rendering Engines",
        "date": "2013-11",
        "abstract": "In real-time computer graphics algorithms are often implemented using\r\nshaders. Even simple e\u000bects possibly comprise several shader \fles. Advanced\r\nmaterial-light interactions are often accompanied by level-of-detail\r\nand occlusion optimizations, therefore, graphics developers have to cope\r\nwith various shader \fles often including duplicate shader code. Furthermore\r\nthe algorithms are forced to be divided into per-stage procedures, which also\r\ncontributes to the complexity of shader programming. Based on existing research\r\na framework in OpenGL should be implemented to facilitate shader\r\ndevelopment. Furthermore basic means for outputting intermediate computation\r\nresults should be provided to enhance debugging capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            876
        ],
        "date_end": "2013",
        "date_start": "2012",
        "matrikelnr": "0416109",
        "supervisor": [
            980,
            193
        ],
        "research_areas": [],
        "keywords": [
            "OpenGL",
            "Shading Language",
            "Framework",
            "Spark",
            "DirectX"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Dogangonul-2013-sparkGL-poster.pdf",
                "type": "application/pdf",
                "size": 7451094,
                "path": "Publication:Dogangonul-2013-sparkGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Dogangonul-2013-sparkGL-thesis.pdf",
                "type": "application/pdf",
                "size": 8989428,
                "path": "Publication:Dogangonul-2013-sparkGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/Dogangonul-2013-sparkGL-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Dogangonul-2013-sparkGL/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_VCA",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual cavity analysis in molecular simulations",
        "date": "2013-11",
        "abstract": "Molecular surfaces provide a useful mean for analyzing interactions between biomolecules; such as identification and characterization of ligand binding sites to a host macromolecule. We present a novel technique, which extracts potential binding sites, represented by cavities, and characterize them by 3D graphs and by amino acids. The binding sites are extracted using an implicit function sampling and graph algorithms. We propose an advanced cavity exploration technique based on the graph parameters and associated amino acids. Additionally, we interactively visualize the graphs in the context of the molecular surface. We apply our method to the analysis of MD simulations of Proteinase 3, where we verify the previously described cavities and suggest a new potential cavity to be studied.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1200,
            "image_height": 842,
            "name": "Viola_Ivan_2013_VCA-Image.png",
            "type": "image/png",
            "size": 602206,
            "path": "Publication:Viola_Ivan_2013_VCA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1143,
            1144,
            1145,
            171
        ],
        "issn": "1471-2105",
        "journal": "BMC Bioinformatics",
        "number": "Suppl 19:S4 ",
        "pages_from": "1",
        "pages_to": "15",
        "volume": "14",
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.biomedcentral.com/1471-2105/14/S19/S4",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 842,
                "name": "Viola_Ivan_2013_VCA-Image.png",
                "type": "image/png",
                "size": 602206,
                "path": "Publication:Viola_Ivan_2013_VCA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_VCA-Paper.pdf",
                "type": "application/pdf",
                "size": 3740580,
                "path": "Publication:Viola_Ivan_2013_VCA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/Viola_Ivan_2013_VCA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_VCA/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer_2013_SIV",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Interactive Vessel Visualization in Radiology ",
        "date": "2013-11",
        "abstract": "Cardiovascular diseases occur with increasing frequency in our society. Their diagnosis often requires tailored visualization techniques, e.g., to examine the blood flow channel in case of luminal narrowing. Curved Planar Reformation (CPR) addresses this field by creating longitudinal sections along the centerline of blood vessels. With the possibility to rotate around an axis, the entire vessel can be assessed for possible vascular abnormalities (e.g., calcifications on the vessel wall, stenoses, and occlusions). \n\nIn this thesis, we present a visualization technique, called Centerline Reformation (CR), that offers the possibility to investigate the interior of any blood vessel, regardless of its spatial orientation. Starting from the projected vessel centerlines, the lumen of any vessel is generated by employing wavefront propagation in image space. The vessel lumen can be optionally delineated by halos, to enhance spatial relationships when examining a dense vasculature. We present our method in a focus+context setup, by rendering a different kind of visualization around the lumen. We explain how to resolve correct visibility of multiple overlapping vessels in image space. Additionally, our visualization method allows the examination of a complex vasculature by means of interactive vessel filtering and subsequent visual querying. \n\nWe propose an improved version of the Centerline Reformation (CR) technique, by generating a completely three-dimensional reformation of vascular structures using ray casting. We call this process Curved Surface Reformation (CSR). In this method, the cut surface is smoothly extended into the surrounding tissue of the blood vessels. Moreover, automatically generated cutaways reveal as much of the vessel lumen as possible, while still retaining correct visibility. This technique offers unrestricted navigation within the inspected vasculature and allows diagnosis of any tubular structure, regardless of its spatial orientation. \n\nThe growing amount of data requires increasing knowledge from a user in order to select the appropriate visualization method for their analysis. In this thesis, we present an approach that externalizes the knowledge of domain experts in a human readable form and employs an inference system to provide only suitable visualization techniques for clinical diagnosis, namely Smart Super Views. We discuss the visual representation of such automatically suggested visualizations by encoding the respective relevance into shape and size of their view. By providing a smart spatial arrangement and integration, the image becomes the menu itself. Such a system offers a guided medical diagnosis by domain experts. \n\nAfter presenting the approach in a general setting, we describe an application scenario for diagnostic vascular visualization techniques. Since vascular structures usually consist of many vessels, we describe an anatomical layout for the investigation of the peripheral vasculature of the human lower extremities. By aggregating the volumetric information around the vessel centerlines in a circular fashion, we provide only a single static image for the assessment of the vessels. We call this method Curvicircular Feature Aggregation (CFA). In addition, we describe a stability analysis on the local deviations of the centerlines of vessels to determine potentially imprecise definitions. By conveying this information in the visualization, a fast visual analysis of the centerline stability is feasible. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869
        ],
        "date_end": "2013",
        "date_start": "2010-09",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            1320
        ],
        "rigorosum": "2013-11-25",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer_2013_SIV-Thesis.pdf",
                "type": "application/pdf",
                "size": 75520620,
                "path": "Publication:mistelbauer_2013_SIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/mistelbauer_2013_SIV-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/mistelbauer_2013_SIV-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer_2013_SIV/",
        "__class": "Publication"
    },
    {
        "id": "mlinaric-2013-volsurf",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Direct Volume Rendering for Polygon Models Embedded into Volumetric CT Data",
        "date": "2013-11",
        "abstract": "For a better visualization and understanding of volumetric data, combinations of surface and volume rendering can be used. Since, the rendering techniques used for polygon surfaces and volumes are different, the combination is not trivial. The presented methodology enhances the state-of-the-art techniques Maximum Intensity Projection (MIP), Direct Volume Rendering (DVR) and Maximum Intensity Difference Accumulation (MIDA) with methods to render surfaces, by buffering the positions, normals and colors of the polygon models, and utilizing them in the ray marching process. The methods have been implemented in the AngioVis Toolbox as a plugin.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1178
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "The written bachelor thesis (11.4 MB).",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mlinaric-2013-volsurf-thesis.pdf",
                "type": "application/pdf",
                "size": 11361831,
                "path": "Publication:mlinaric-2013-volsurf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/mlinaric-2013-volsurf-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/mlinaric-2013-volsurf-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mlinaric-2013-volsurf/",
        "__class": "Publication"
    },
    {
        "id": "oeltze-2013-tut",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE VIS Tutorial on Interactive Visual Analysis of Scientific Data",
        "date": "2013-10",
        "abstract": "In a growing number of application areas, a subject or phenomenon is investigated by means of multiple datasets being acquired over time (spatiotemporal), comprising several attributes per data point\r\n(multi-variate), stemming from different data sources (multi-modal) or multiple simulation runs (multi-run/ensemble). Interactive visual analysis (IVA) comprises concepts and techniques for a user-guided knowledge discovery in such complex data. Through a tight feedback loop of computation,\r\nvisualization and user interaction, it provides new insight into the data and serves as a vehicle for\r\nhypotheses generation or validation. It is often implemented via a multiple coordinated view framework where each view is equipped with interactive drill-down operations for focusing on data features.\r\nTwo classes of views are integrated:\r\nphysical views, such as direct volume rendering, show information in the context of the spatiotemporal observation space while\r\nattribute views, such as scatter\r\nplots and parallel coordinates, show relationships between multiple data attributes. The user may drill-down the data by selecting interesting regions of the observation space or attribute ranges leading to\r\na consistent highlighting of this selection in all other views (brushing-and-linking). Three patterns of\r\nexplorative/analytical procedures may be accomplished by doing so. In a\r\nfeature localization, the user\r\nsearches for places in the 3D/4D observation space where certain attribute values are present. In a\r\nmulti-variate analysis, relations between data attributes are investigated, e.g., by searching for correla-\r\ntions. In a local investigation, the user inspects the values of selected attributes with respect to certain\r\nspatiotemporal subsets of the observation space.\r\n\r\nIn this tutorial, we discuss examples for successful applications of IVA to scientific data from various\r\nfields: climate research, medicine, epidemiology, and flow simulation / computation, in particular for\r\nautomotive engineering. We base our discussions on a theoretical foundation of IVA which helps the\r\ntutorial attendees in transferring the subject matter to their own data and application area. In the course\r\nof the tutorial, the attendees will become acquainted with techniques from statistics and knowledge\r\ndiscovery, which proved to be particularly useful for a specific IVA application. The tutorial further\r\ncomprises an overview of off-the-shelf IVA solutions, which may be be particularly interesting for\r\nvisualization practitioners. It is concluded by a summary of the gained knowledge and a discussion of\r\nopen problems in IVA of scientific data.\r\n\r\nThe tutorial slides will be available at: http://tinyurl.com/SciDataIVA13",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 660,
            "image_height": 666,
            "name": "oeltze-2013-tut-image.jpg",
            "type": "image/jpeg",
            "size": 101584,
            "path": "Publication:oeltze-2013-tut",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            751,
            176,
            983
        ],
        "event": "IEEE VisWeek",
        "lecturer": [
            751,
            176,
            983
        ],
        "location": "Atlanta, Georgia, USA",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 660,
                "image_height": 666,
                "name": "oeltze-2013-tut-image.jpg",
                "type": "image/jpeg",
                "size": 101584,
                "path": "Publication:oeltze-2013-tut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Tutorial proposal",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "oeltze-2013-tut-Tutorial proposal.pdf",
                "type": "application/pdf",
                "size": 1923902,
                "path": "Publication:oeltze-2013-tut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/oeltze-2013-tut-Tutorial proposal:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/oeltze-2013-tut/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2013-smi",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Minimizing Edge Length to Connect Sparsely Sampled Unorganized Point Sets",
        "date": "2013-10",
        "abstract": "Most methods for interpolating unstructured point clouds handle densely sampled point sets quite well but get into trouble when\nthe point set contains regions with much sparser sampling, a situation often encountered in practice. In this paper, we present a new\nmethod that provides a better interpolation of sparsely sampled features.\nWe pose the surface construction problem as finding the triangle mesh which minimizes the sum of all triangles’ longest edge.\nThe output is a closed manifold triangulated surface Bmin. Exact computation of Bmin for sparse sampling is most probably NP-hard, and therefore we introduce suitable heuristics for its computing. The algorithm first connects the points by triangles chosen\nin order of their longest edge and with the requirement that all edges must have at least 2 incident triangles. This yields a closed\nnon-manifold shape which we call the Boundary Complex. Then we transform it into a manifold triangulation using topological\noperations. We show that in practice, runtime is linear to that of the Delaunay triangulation of the points.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 380,
            "image_height": 217,
            "name": "ohrhallinger_stefan-2013-smi-image.png",
            "type": "image/png",
            "size": 22445,
            "path": "Publication:ohrhallinger_stefan-2013-smi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1024,
            193
        ],
        "date_from": "2013-07-10",
        "date_to": "2013-07-12",
        "event": "Shape Modeling International 2013 (SMI)",
        "issn": "0097-8493",
        "journal": "Computers & Graphics (Proceedings of Shape Modeling International 2013)",
        "lecturer": [
            948
        ],
        "location": "Bournemouth, UK",
        "number": "6",
        "pages_from": "645",
        "pages_to": "658",
        "volume": "37",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point cloud",
            "reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 380,
                "image_height": 217,
                "name": "ohrhallinger_stefan-2013-smi-image.png",
                "type": "image/png",
                "size": 22445,
                "path": "Publication:ohrhallinger_stefan-2013-smi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-smi-paper.pdf",
                "type": "application/pdf",
                "size": 8341612,
                "path": "Publication:ohrhallinger_stefan-2013-smi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-smi-slides.pdf",
                "type": "application/pdf",
                "size": 4224318,
                "path": "Publication:ohrhallinger_stefan-2013-smi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-slides:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "source and binaries",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2013-smi-source and binaries.html",
                "type": "text/plain",
                "size": 89,
                "path": "Publication:ohrhallinger_stefan-2013-smi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/ohrhallinger_stefan-2013-smi-source and binaries.html",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ohrhallinger_stefan-2013-smi/",
        "__class": "Publication"
    },
    {
        "id": "Viola_2013_IDV",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance Driven Visualization of Molecular Surfaces",
        "date": "2013-10",
        "abstract": "We present a novel rendering method, based on the level-of-detail concept, which shows protein complexes over time in real-time. We exploit three different molecular surface models, solvent excluded surface (SES), Gaussian kernels and van der Waals spheres combined in one seamless visualization. As a general rule, closest to the viewer we aim at providing a maximum of relevant information related to the structure and binding sites. Such information is conveyed by the SES representation. Farther away from the viewer, we are smoothly changing the visual representation to an approximation of SES through Gaussian kernels. The least detailed representation is based on simple sphere splatting and is dedicated to structures farthest away from the viewer. A more general solution leads us to the definition of a 3D importance function that is based on the distance measure from a molecular feature. In order to preserve smoothness in transition areas, we introduce three shading levels that correspond to their geometric counterparts and a method for creating seamless transition between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation with constant shading and without contours provide the context. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 452,
            "image_height": 481,
            "name": "Viola_2013_IDV-Image.png",
            "type": "image/png",
            "size": 235139,
            "path": "Publication:Viola_2013_IDV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1143,
            951,
            171
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-14",
        "event": "3rd IEEE Symposium on Biological Data Visualization",
        "location": "Atlanta, GA",
        "publisher": "BioVis website (http://www.biovis.net/year/2013/posters)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 452,
                "image_height": 481,
                "name": "Viola_2013_IDV-Image.png",
                "type": "image/png",
                "size": 235139,
                "path": "Publication:Viola_2013_IDV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_2013_IDV-Poster.pdf",
                "type": "application/pdf",
                "size": 1251142,
                "path": "Publication:Viola_2013_IDV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/Viola_2013_IDV-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_2013_IDV/",
        "__class": "Publication"
    },
    {
        "id": "sorger-2013-neuromap",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "neuroMAP - Interactive Graph-Visualization of the Fruit Fly's Neural Circuit",
        "date": "2013-10",
        "abstract": "Neuroscientists study the function of neural circuits in the brain of the common fruit fly Drosophila melanogaster to discover how complex behavior is generated. To establish models of neural information processing, knowledge about potential connections between individual neurons is required. Connections can occur when the arborizations of two neurons overlap. Judging connectivity by analyzing overlaps using traditional volumetric visualization is difficult since the examined objects occlude each other. A more abstract form of representation is therefore desirable. In collaboration with a group of neuroscientists, we designed and implemented neuroMap, an interactive two-dimensional graph that renders the brain and its interconnections in the form of a circuit-style wiring diagram. neuroMap provides a clearly structured overview of all possible connections between neurons and offers means for interactive exploration of the underlying neuronal database. In this paper, we discuss the design decisions that formed neuroMap and evaluate its application in discussions with the scientists.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 947,
            "image_height": 703,
            "name": "sorger-2013-neuromap-teaser.jpg",
            "type": "image/jpeg",
            "size": 113971,
            "path": "Publication:sorger-2013-neuromap",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072,
            231,
            1142,
            1278,
            820
        ],
        "booktitle": "Biological Data Visualization (BioVis), 2013 IEEE Symposium on ",
        "lecturer": [
            1072
        ],
        "location": "Atlanta",
        "pages_from": "73",
        "pages_to": "80",
        "publisher": "IEEE",
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sorger-2013-neuromap-paper.pdf",
                "type": "application/pdf",
                "size": 1416747,
                "path": "Publication:sorger-2013-neuromap",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 947,
                "image_height": 703,
                "name": "sorger-2013-neuromap-teaser.jpg",
                "type": "image/jpeg",
                "size": 113971,
                "path": "Publication:sorger-2013-neuromap",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/sorger-2013-neuromap-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sorger-2013-neuromap/",
        "__class": "Publication"
    },
    {
        "id": "birsak-2013-sta",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Seamless Texturing of Archaeological Data",
        "date": "2013-10",
        "abstract": "In this paper we propose a framework for out-of-core real-time rendering of high-quality textured archaeological data-sets. Our input is a triangle mesh and a set of calibrated and registered photographs. Our system performs the actual mapping of the photos to the mesh for high-quality reconstructions, which is a task referred to as the labeling problem. Another problem of such mappings are seams that arise on junctions between triangles that contain information from different photos. These are are approached with blending methods, referred to as leveling. We address both problems and introduce a novel labeling approach based on occlusion detection using depth maps that prevents texturing of parts of the model with images that do not contain the expected region. Moreover, we propose an improved approach for seam-leveling that penalizes too large values and helps to keep the resulting colors in a valid range. For high-performance visualization of the 3D models with a huge amount of textures, we make use of virtual texturing, and present an application that generates the needed texture atlas in significantly less time than existing scripts. Finally, we show how the mentioned components are integrated into a visualization application for digitized archaeological site.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "thumb",
            "filetitle": "thumb",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 652,
            "name": "birsak-2013-sta-thumb.jpg",
            "type": "image/jpeg",
            "size": 123764,
            "path": "Publication:birsak-2013-sta",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            844,
            865,
            193
        ],
        "booktitle": "Digital Heritage International Congress (DigitalHeritage), 2013",
        "date_from": "2013-10-28",
        "date_to": "2013-11-01",
        "isbn": "978-1-4799-3168-2 ",
        "lecturer": [
            836
        ],
        "location": "Marseille, France",
        "note": "DOI: 10.1109/DigitalHeritage.2013.6743749",
        "pages_from": "265",
        "pages_to": "272 ",
        "publisher": "IEEE",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "digital cultural heritage",
            "out-of-core real-time rendering",
            "seamless texturing",
            "virtual texturing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "paper draft",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "birsak-2013-sta-preprint.pdf",
                "type": "application/pdf",
                "size": 2939089,
                "path": "Publication:birsak-2013-sta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-preprint:thumb{{size}}.png"
            },
            {
                "description": "thumb",
                "filetitle": "thumb",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 652,
                "name": "birsak-2013-sta-thumb.jpg",
                "type": "image/jpeg",
                "size": 123764,
                "path": "Publication:birsak-2013-sta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumb:thumb{{size}}.png"
            },
            {
                "description": "thumbnail",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1282,
                "image_height": 712,
                "name": "birsak-2013-sta-thumbnail.jpg",
                "type": "image/jpeg",
                "size": 184340,
                "path": "Publication:birsak-2013-sta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/birsak-2013-sta-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/birsak-2013-sta/",
        "__class": "Publication"
    },
    {
        "id": "diehl-2013-VTA",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Trend Analysis in Weather Forecast",
        "date": "2013-10",
        "abstract": "Weather conditions affect multiple aspects of human life such as\r\neconomy, safety, security, and social activities. Weather forecast\r\nsignificantly influences decision and policy making, construction\r\nplanning, productivity, and environmental risk management.\r\nVisualization of weather conditions and trends assists the anticipation\r\nof unexpected meteorological events and thus helps with\r\nappropriate actions and mitigation systems to minimize the impact\r\nof them on human life and activities.\r\nIn this work, we propose an interactive approach for visual analysis\r\nof weather trends and forecast errors in short-term weather\r\nforecast simulations. Our solution consists of a multi-aspect system\r\nthat provides different methods to visualize and analyze multiple\r\nruns, time-dependent data, and forecast errors. A key contribution\r\nof this work is the comparative visualization technique that allows\r\nusers to analyze possible weather trends and patterns.\r\nWe illustrate the usage of our approach with a case study designed\r\nand validated in conjunction with domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Poster summary",
            "filetitle": "paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 982,
            "preview_image_height": 491,
            "name": "diehl-2013-VTA-paper.pdf",
            "type": "application/pdf",
            "size": 1561548,
            "path": "Publication:diehl-2013-VTA",
            "preview_name": "diehl-2013-VTA-paper:preview.png",
            "preview_type": "image/png",
            "preview_size": 239864,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1121,
            161,
            166,
            1122,
            1123
        ],
        "date_from": "2013-10-13",
        "date_to": "2013-10-18",
        "event": "IEEE VIS 2013 Conference",
        "location": "Atlanta, Georgia, USA",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analysis",
            "Comparative Visualization",
            "Weather Forecast Research"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Poster summary",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 982,
                "preview_image_height": 491,
                "name": "diehl-2013-VTA-paper.pdf",
                "type": "application/pdf",
                "size": 1561548,
                "path": "Publication:diehl-2013-VTA",
                "preview_name": "diehl-2013-VTA-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 239864,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-paper:thumb{{size}}.png"
            },
            {
                "description": "Demo",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "diehl-2013-VTA-video.mp4",
                "type": "video/mp4",
                "size": 7132586,
                "path": "Publication:diehl-2013-VTA",
                "preview_name": "diehl-2013-VTA-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 32911,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:video.mp4"
            },
            {
                "description": "Fast Forward",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "diehl-2013-VTA-video.wmv",
                "type": "application/octet-stream",
                "size": 7379236,
                "path": "Publication:diehl-2013-VTA",
                "preview_name": "diehl-2013-VTA-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 32911,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/diehl-2013-VTA-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "External"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/",
        "__class": "Publication"
    },
    {
        "id": "AndreUrsits_2013_APP",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "AngioVis Patient Persistency Object Relation Mapping for Large Relational Datasets of Binary Data",
        "date": "2013-09",
        "abstract": "A usual workstation in medicine processes a significant amount of patients per day. It is critical\r\nin a clinical daily routine, to retrieve, store and access analysed data in a fast pace. An application\r\nin this context needs to be responsive and speed up current processes. Due to the necessity of storing all these data, current development in database technologies provides opportunities\r\nto improve their management. In this thesis, we will investigate, how such a technologies can be transferred to a specific application scenario. Furthermore there are several application parameters, like load time, response delay and integrity of the stored data that can be improved,\r\nto have a positive impact on a medical workflow. Apart those performance related parameters there are several other factors like extendibility, scalability and structure that are taken into consideration\r\nas well.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "AndreUrsits_2013_APP-Thesis.pdf",
            "type": "application/pdf",
            "size": 1156290,
            "path": "Publication:AndreUrsits_2013_APP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/AndreUrsits_2013_APP-Thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/AndreUrsits_2013_APP-Thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1133,
            1134
        ],
        "supervisor": [
            166,
            869
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "AndreUrsits_2013_APP-Thesis.pdf",
                "type": "application/pdf",
                "size": 1156290,
                "path": "Publication:AndreUrsits_2013_APP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/AndreUrsits_2013_APP-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/AndreUrsits_2013_APP-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/AndreUrsits_2013_APP/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2013_NSAA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-Sampled Anti-Aliasing",
        "date": "2013-09",
        "abstract": "In this paper we present a parallel method for high-quality edge anti-aliasing. In contrast to traditional graphics hardware methods, which rely on massive oversampling to combat aliasing issues in the rasterization process, we evaluate a closed-form solution of the associated prefilter convolution. This enables the use of a wide range of filter functions with arbitrary kernel sizes, as well as general shading methods such as texture mapping or complex illumination models. Due to the use of analytic solutions, our results are exact in the mathematical sense and provide objective ground-truth for other anti-aliasing methods and enable the rigorous comparison of different models and filters. An efficient implementation on general purpose graphics hardware is discussed and several comparisons to existing techniques and of various filter functions are given.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2632,
            "image_height": 816,
            "name": "Auzinger_2013_NSAA-Teaser Image.png",
            "type": "image/png",
            "size": 161776,
            "path": "Publication:Auzinger_2013_NSAA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            844,
            799,
            193
        ],
        "booktitle": "Proceedings of the 18th International Workshop on Vision, Modeling and Visualization (VMV 2013)",
        "date_from": "2013-09-11",
        "date_to": "2013-09-13",
        "editor": "Michael Bronstein and Jean Favre and Kai Hormann",
        "event": "Vision, Modelin, Visualization (VMV)",
        "isbn": "978-3-905674-51-4",
        "lecturer": [
            808
        ],
        "location": "Lugano, Switzerland",
        "organization": "Eurographics",
        "pages_from": "169",
        "pages_to": "176",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Examples",
                "filetitle": "Examples",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Auzinger_2013_NSAA-Examples.zip",
                "type": "application/zip",
                "size": 5948301,
                "path": "Publication:Auzinger_2013_NSAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Examples.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2632,
                "image_height": 816,
                "name": "Auzinger_2013_NSAA-image.png",
                "type": "image/png",
                "size": 161776,
                "path": "Publication:Auzinger_2013_NSAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-image:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 181,
                "preview_image_height": 256,
                "name": "Auzinger_2013_NSAA-Paper.pdf",
                "type": "application/pdf",
                "size": 6842509,
                "path": "Publication:Auzinger_2013_NSAA",
                "preview_name": "Auzinger_2013_NSAA-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 36507,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2632,
                "image_height": 816,
                "name": "Auzinger_2013_NSAA-Teaser Image.png",
                "type": "image/png",
                "size": 161776,
                "path": "Publication:Auzinger_2013_NSAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/Auzinger_2013_NSAA-Teaser Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_NSAA/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2013_SAR",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampled and Analytic Rasterization",
        "date": "2013-09",
        "abstract": "In this poster we present an overview of exact anti-aliasing (AA) methods in rasterization.\nIn contrast to the common supersampling approaches for visibility AA (e.g. MSAA) or both visibility and shading AA (e.g. SSAA, decoupled sampling), prefiltering provides the mathematically exact solution to the aliasing problem.\nInstead of averaging a set a supersamples, the input data is convolved with a suitable low-pass filter before sampling is applied.\nRecent work showed that for both visibility signals and simple shading models, a closed-form solution to the convolution integrals can be found.\nAs our main contribution, we present a classification of both sample-based and analytic AA approaches for rasterization and analyse their strengths and weaknesses.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1780,
            "image_height": 385,
            "name": "Auzinger_2013_SAR-Teaser image.png",
            "type": "image/png",
            "size": 50569,
            "path": "Publication:Auzinger_2013_SAR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            193
        ],
        "booktitle": "Proceedings of the 18th International Workshop on Vision, Modeling and Visualization",
        "date_from": "2013-09-11",
        "date_to": "2013-09-13",
        "event": "VMV 2013",
        "isbn": "978-3-905674-51-4",
        "location": "Lugano, Switzerland",
        "pages_from": "223",
        "pages_to": "224",
        "publisher": "Eurographics Association",
        "series": "VMV ",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Anti-Aliasing",
            "Rasterization",
            "Sampling",
            "Supersampling",
            "Prefiltering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The final version of the presented poster.",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 256,
                "preview_image_height": 181,
                "name": "Auzinger_2013_SAR-Poster.pdf",
                "type": "application/pdf",
                "size": 1912569,
                "path": "Publication:Auzinger_2013_SAR",
                "preview_name": "Auzinger_2013_SAR-Poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 57598,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1780,
                "image_height": 385,
                "name": "Auzinger_2013_SAR-Teaser image.png",
                "type": "image/png",
                "size": 50569,
                "path": "Publication:Auzinger_2013_SAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/Auzinger_2013_SAR-Teaser image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_SAR/",
        "__class": "Publication"
    },
    {
        "id": "rasch_martina-2013-HDRImage",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "HDR Image Acquisition for Augmented Reality",
        "date": "2013-09",
        "abstract": "In this thesis I present a method for calculating high dynamic range images in a mixed reality\r\nsystem. Cameras and monitors usually have a lower dynamic range than we encounter in the\r\nreal world, e.g. the sun. While pictures have a maximal contrast of 1:500, real world scenes often\r\nhave a contrast of 1:100 000. An image taken of a scene with a higher dynamic range than\r\nour camera can capture will have regions that are too bright or too dark. With a higher exposure\r\ntime more details will be visible in dark regions and with a lower exposure time more details\r\nwill be visible in bright regions. Since our camera cannot create an image preserving details in\r\nboth dark and bright regions we have to calculate one using the images our camera can actually\r\nproduce. The method described in this thesis is based on the work of Debevec and Malik. It\r\ntakes several images taken with different exposure times and combines them to a high dynamic\r\nrange image, leading to a better viewing experience in our RESHADE framework, a mixed reality\r\nframework, for which this method was implemented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1144,
            "image_height": 367,
            "name": "rasch_martina-2013-HDRImage-image.jpg",
            "type": "image/jpeg",
            "size": 305955,
            "path": "Publication:rasch_martina-2013-HDRImage",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1014
        ],
        "date_end": "2013-09-16",
        "date_start": "2012-03-01",
        "matrikelnr": "0925447",
        "supervisor": [
            193,
            736
        ],
        "research_areas": [],
        "keywords": [
            "mixed reality",
            "high dynamic range image"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Teaser",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1144,
                "image_height": 367,
                "name": "rasch_martina-2013-HDRImage-image.jpg",
                "type": "image/jpeg",
                "size": 305955,
                "path": "Publication:rasch_martina-2013-HDRImage",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor Thesis",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rasch_martina-2013-HDRImage-paper.pdf",
                "type": "application/pdf",
                "size": 11543608,
                "path": "Publication:rasch_martina-2013-HDRImage",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/rasch_martina-2013-HDRImage-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/rasch_martina-2013-HDRImage/",
        "__class": "Publication"
    },
    {
        "id": "schaukowitsch-2013-fls",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pano.NET - An interactive application for camera calibration, image stitching and projective operations",
        "date": "2013-09",
        "abstract": "The automatic generation of panoramic image mosaics has evolved into a mainstream consumer\r\napplication in recent years, thanks to modern algorithms and methods that can generate beautiful-\r\nlooking, artifact-free panoramas with minimal user interaction. Simple panoramas are only one\r\npossible application, other examples such as the scene-aware Google Street View show what is\r\npossible using these technologies. Software libraries such as\r\nOpenCV allow integration of image\r\nstitching and related operations into a multitude of applications with relative ease.\r\nIn this thesis, we present an interactive application (Pano.NET) that allows the user to\r\nexperiment with several commonly used methods for camera calibration and image stitching (as\r\nimplemented in\r\nOpenCV), and export related data such as registration information. We also give\r\nan overview of the used algorithms.\r\nIn addition, we implemented a projective drawing system that allows the user to draw lines\r\nand polygons onto a panorama and on the views that it consists of. Finally, a method is presented\r\nthat can generate six-sided cube maps out of a spherical panorama.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 812,
            "image_height": 440,
            "name": "schaukowitsch-2013-fls-image.jpg",
            "type": "image/jpeg",
            "size": 129904,
            "path": "Publication:schaukowitsch-2013-fls",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1093
        ],
        "date_start": "2013-04-03",
        "matrikelnr": "0927289",
        "supervisor": [
            836,
            844
        ],
        "research_areas": [],
        "keywords": [
            "multi-view image processing",
            "panorama imaging",
            "image compositing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 812,
                "image_height": 440,
                "name": "schaukowitsch-2013-fls-image.jpg",
                "type": "image/jpeg",
                "size": 129904,
                "path": "Publication:schaukowitsch-2013-fls",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-image:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schaukowitsch-2013-fls-Thesis.pdf",
                "type": "application/pdf",
                "size": 12865915,
                "path": "Publication:schaukowitsch-2013-fls",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/schaukowitsch-2013-fls-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schaukowitsch-2013-fls/",
        "__class": "Publication"
    },
    {
        "id": "sperl-2013-BA",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Textures for Architectural Models ",
        "date": "2013-09",
        "abstract": "Texturing plays an extremely important role in computer graphics. They may for example give flat objects colour patterns and depth or roughness. However it is often difficult to find or create fitting textures for a geometry or surface. Creating textures by hand can prove extremely difficult as problems with seams or distortion may occur, which make the texture look unrealistic. In order to counter these problems many different kinds of texture synthesis have been developed among which procedural textures hold an important position.\n\nThe types of texture synthesis methods vary from example-based synthesis to procedural noise, cellular textures and more, which can produce a wide array of different results.\n\nThe aim of this paper is to introduce the reader into related topics  of texture synthesis and to introduce a method for generating cellular brick pattern textures that represent brick bonds that are used in real architecture taking correct handling of wall and window borders into consideration. The method uses few parameters to control the synthesis process. In addition a method for generating random stone patterns is introduced. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 801,
            "image_height": 441,
            "name": "sperl-2013-BA-image.png",
            "type": "image/png",
            "size": 216516,
            "path": "Publication:sperl-2013-BA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1096
        ],
        "date_end": "2013-09-30",
        "date_start": "2013-04-01",
        "matrikelnr": "1025854",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "brick texutre synthesis",
            "cellular textures",
            "texture synthesis",
            "stone texture synthesis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 801,
                "image_height": 441,
                "name": "sperl-2013-BA-image.png",
                "type": "image/png",
                "size": 216516,
                "path": "Publication:sperl-2013-BA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-image:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sperl-2013-BA-thesis.pdf",
                "type": "application/pdf",
                "size": 15284856,
                "path": "Publication:sperl-2013-BA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/sperl-2013-BA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sperl-2013-BA/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2013-surcgf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Urban Reconstruction",
        "date": "2013-09",
        "abstract": "This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under very active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision, and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "overview",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1200,
            "image_height": 517,
            "name": "musialski-2013-surcgf-image.jpg",
            "type": "image/jpeg",
            "size": 285731,
            "path": "Publication:musialski-2013-surcgf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            194,
            955,
            193,
            954,
            190
        ],
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "6",
        "pages_from": "146",
        "pages_to": "177",
        "volume": "32",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "facade modeling",
            "state-of-the-art report",
            "multi-view stereo",
            "structure from motion",
            "urban modeling",
            "urban reconstruction",
            "inverse-procedural modeling",
            "facade reconstruction"
        ],
        "weblinks": [
            {
                "href": "http://doi.wiley.com/10.1111/cgf.12077",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "draft",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2013-surcgf-draft.pdf",
                "type": "application/pdf",
                "size": 6176644,
                "path": "Publication:musialski-2013-surcgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-draft:thumb{{size}}.png"
            },
            {
                "description": "overview",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1200,
                "image_height": 517,
                "name": "musialski-2013-surcgf-image.jpg",
                "type": "image/jpeg",
                "size": 285731,
                "path": "Publication:musialski-2013-surcgf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/musialski-2013-surcgf-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-surcgf/",
        "__class": "Publication"
    },
    {
        "id": "fink-2013-gvp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU-based Video Processing in the Context of TV Broadcasting",
        "date": "2013-09",
        "abstract": "This thesis investigates GPU-based video processing in the context of a graphics system for live TV broadcasting. Upcoming TV standards like UHD-1 result in much higher data rates than existing formats. Processing such data rates while satisfying the real-time requirement of live TV poses a particular challenge for the implementation of a software-based broadcast graphics system. In order to reach the required data rates, the software needs to process image data concurrently on the central processing unit (CPU) and graphics processing unit (GPU) of the machine. In particular, the transfers of image data between main and graphics memory need to be overlapped with CPU-based and GPU-based executions in order to maximize data throughput. In this thesis, we therefore investigate the following questions: Which methods are available to a software implementation in order to reach this level of parallelism? Which data rates can actually be reached using these methods?\r\nIn order to answer these questions, we implement a prototype of a software for rendering TV graphics. To take advantage of the GPU’s ability to efficiently process image data, we use the OpenGL application programming interface (API). We use advanced methods of OpenGL programming to render high-quality video and increase the level of employed parallelism of the GPU. We implement the transcoding between RGB and the professional video format V210, which is more complex to process than conventional consumer-oriented image formats. In our software, we apply the pipeline programming pattern in order to distribute stages of the video processing algorithm to different threads. As a result, those stages execute concurrently on different hardware units of the system. Our prototype exposes the applied degree of concurrency to the user as a collection of different optimization settings. In order to evaluate these optimizations, we integrate a profiling mechanism directly into the execution of the pipeline. This allows us to automatically create performance profiles while running our prototype with various test scenarios. The results of this thesis are based on the analysis of these traces.\r\nOur prototype shows that the methods described in this thesis enable a software program to process high-resolution video in high quality. The results of our evaluations also show that there is no single best optimization setting for every GPU architecture. Different driver implementations and hardware features require our prototype to apply different optimization settings for each device. The ability of our software structure to dynamically change the degree of concurrency is therefore an important feature. For broadcasting software that is expected to perform well on a range of hardware devices, this is ultimately an essential feature.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1086,
            "image_height": 397,
            "name": "fink-2013-gvp-.png",
            "type": "image/png",
            "size": 647989,
            "path": "Publication:fink-2013-gvp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1001
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "transfer",
            "rendering",
            "video processing",
            "concurrency",
            "OpenGL"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1086,
                "image_height": 397,
                "name": "fink-2013-gvp-.png",
                "type": "image/png",
                "size": 647989,
                "path": "Publication:fink-2013-gvp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-:thumb{{size}}.png"
            },
            {
                "description": "Poster of thesis",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fink-2013-gvp-poster.pdf",
                "type": "application/pdf",
                "size": 2726705,
                "path": "Publication:fink-2013-gvp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-poster:thumb{{size}}.png"
            },
            {
                "description": "PDF of submitted thesis.",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fink-2013-gvp-thesis.pdf",
                "type": "application/pdf",
                "size": 12153165,
                "path": "Publication:fink-2013-gvp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/fink-2013-gvp-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-gvp/",
        "__class": "Publication"
    },
    {
        "id": "GAHR-2013-AGM",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatisierte 3D Gebäudemodellierung für die thermische Simulation",
        "date": "2013-09",
        "abstract": "Die Modellerstellung von Gebäudemodellen ist ein zeitraubender und teurer Prozess, der ein großes\nPotential an Einsparungsmöglichkeiten bietet. Diese Master Thesis beschäftigt sich mit der automatischen\nModellerstellung thermischer Gebäudemodelle für Simulationszwecke. Basierend auf einer minimalen Anzahl\nan Basisinformationen soll automatisch ein Gebäudemodell mit Hilfe von Matlab erstellt werden, das durch eine\nparametrisierte Geometrie und bauphysikalische Eigenschaften definiert ist. Ziel ist es, aus wenigen\nInformationen ein repräsentatives Modell zu erstellen, um grundlegende Aussagen in der thermischen\nGebäudesimulation treffen zu können.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1563
        ],
        "date_start": "2013-09",
        "matrikelnr": "0827866",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/GAHR-2013-AGM/",
        "__class": "Publication"
    },
    {
        "id": "leimer-2013-esopc",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "External Sorting of Point Clouds",
        "date": "2013-09",
        "abstract": "In recent years, points have seen increased use as a rendering primitive. This Bachelor Thesis presents and compares a number of sorting algorithms used for sorting points in a preprocessing step. This is done in order to decrease the time needed to create a point cloud model that can be rendered by the GPU in real time. Points are compared either by their position along the longest axis or by Morton order and sorted using heap sort or radix sort. An external merge sort algorithm is used for large datasets that do not completely fit into memory. The speed of the sorting process is furthermore increased by making use of parallel processing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Test model for sorting",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1382,
            "image_height": 873,
            "name": "leimer-2013-esopc-image.png",
            "type": "image/png",
            "size": 2914077,
            "path": "Publication:leimer-2013-esopc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1019
        ],
        "matrikelnr": "0825842",
        "supervisor": [
            614
        ],
        "research_areas": [],
        "keywords": [
            "Point Clouds",
            "Sorting",
            "Out-of-Core algorithms"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Test model for sorting",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1382,
                "image_height": 873,
                "name": "leimer-2013-esopc-image.png",
                "type": "image/png",
                "size": 2914077,
                "path": "Publication:leimer-2013-esopc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-image:thumb{{size}}.png"
            },
            {
                "description": "The Bachelors Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "leimer-2013-esopc-thesis.pdf",
                "type": "application/pdf",
                "size": 5920226,
                "path": "Publication:leimer-2013-esopc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/leimer-2013-esopc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/leimer-2013-esopc/",
        "__class": "Publication"
    },
    {
        "id": "Maricic_2013_VFE",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Feature Exploration for ssTEM Image Segmentation",
        "date": "2013-08",
        "abstract": " In order to (preferably) automatically derive the neuronal structures from brain tissue image stacks, the research field computational neuroanatomy relies on computer assisted techniques such as visualization, machine learning and analysis. The image acquisition is based on the so-called transmission electron microscopy (TEM) that allows resolution that is high enough to identify relevant structures in brain tissue images (less than 5 nm per pixel). In order to get to an image stack (or volume) the tissue samples are sliced (or sectioned) with a diamond knife in slices of 40 nm thickness. This approach is called serial-section transmission electron microscopy (ssTEM). The manual segmentation of these high-resolution, low-contrast and artifact afflicted images would be impracticable alone due to the high resolution of 200,000 images of size 2m x 2m pixel in a cubic centimeter tissue sample. But, the automatic segmentation is error-prone due to the small pixel value range (8 bit per pixel) and diverse artifacts resulting from mechanical sectioning of tissue samples. Additionally, the biological samples in general contain densely packed structures which leads to non-uniform background that introduces artifacts as well. Therefore, it is important to quantify, visualize and reproduce the automatic segmentation results interactively with as few user interaction as possible.\r\n\r\nThis thesis is based on the membrane segmentation proposed by Kaynig-Fittkau [2011] which for ssTEM brain tissue images outputs two results: (a) a certainty value per pixel (with regard to the analytical model of the user selection of cell membrane pixels) which states how certain the underlying statistical model is that the pixel is belonging to the membrane , and (b) after an optimization step the resulting edges which represent the membrane. In this work we present a visualization-assisted method to explore the parameters of the segmentation. The aim is to interactively mark those regions where the segmentation fails to the expert user in order to structure the post- or re-segmentation or to prove-read the segmentation results. This is achieved by weighting the membrane pixels by the uncertainty values resulting from the segmentation process.\r\n\r\nWe would like to start here and employ user knowledge once more to decide which data and in what form should be introduced to the random forest classifier in order to improve the segmentation results either through segmentation quality or segmentation speed. In this regard we use focus our attention especially on the visualizations of the uncertainty, the error and multi-modal data. The interaction techniques are explicitly used in those cases where we expect the highest gain at the end of the exploration. We show the effectiveness of the proposed methods using the freely available ssTEM brain tissue dataset of the drosophila fly. Because we lack the expert knowledge in the field of neuroanatomy re must rely our assumptions and methods on the underlying ground truth segmentations of the drosophila fly brain tissue dataset. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 251,
            "image_height": 251,
            "name": "Maricic_2013_VFE-Image.jpg",
            "type": "image/jpeg",
            "size": 39991,
            "path": "Publication:Maricic_2013_VFE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1119
        ],
        "supervisor": [
            166,
            1337
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 251,
                "image_height": 251,
                "name": "Maricic_2013_VFE-Image.jpg",
                "type": "image/jpeg",
                "size": 39991,
                "path": "Publication:Maricic_2013_VFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Maricic_2013_VFE-Poster.pdf",
                "type": "application/pdf",
                "size": 4927452,
                "path": "Publication:Maricic_2013_VFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Maricic_2013_VFE-Thesis.pdf",
                "type": "application/pdf",
                "size": 27473487,
                "path": "Publication:Maricic_2013_VFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/Maricic_2013_VFE-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Maricic_2013_VFE/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_GS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geological storytelling",
        "date": "2013-08",
        "abstract": "Developing structural geological models from exploratory subsea imaging is difficult and an ill-posed process. The structural geological processes that take place in the subsurface are both complex and time-dependent. We present Geological Storytelling, a novel graphical system for performing rapid and expressive geomodeling. Geologists can convey geological stories that externalize both their model and the reasoning process behind it through our simple, yet expressive sketch-based, flip-over canvases. This rapid modeling interface makes it easy to construct a large variety of geological stories, and our story tree concept facilitates easy management and the exploration of these alternatives. The stories are then animated and the geologists can examine and compare them to identify the most plausible models. Finally, the geological stories can be presented as illustrative animations of automatically synthesized 3D models, which efficiently communicate the complex geological evolution to non-experts and decision makers. Geological storytelling provides a complete pipeline from the ideas and knowledge in the mind of the geologist, through externalized artifacts specialized for discussion and knowledge dissemination among peer-experts, to automatically rendered illustrative 3D animations for communication to lay audience. We have developed geological storytelling in collaboration with domain experts that work with the modeling challenges on a daily basis. For evaluation, we have developed a geological storytelling prototype and presented it to experts and academics from the geosciences. In their feedback, they acknowledge that the rapid and expressive sketching of stories can make them explore more alternatives and that the 3D illustrative animations assist in communicating their models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 500,
            "image_height": 435,
            "name": "Viola_Ivan_2013_GS-.jpg",
            "type": "image/jpeg",
            "size": 53391,
            "path": "Publication:Viola_Ivan_2013_GS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1150,
            1151,
            616,
            176,
            171
        ],
        "issn": "0097-8493",
        "journal": "Computer & Graphics",
        "number": "5",
        "pages_from": "445",
        "pages_to": "459",
        "volume": "37",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1016/j.cag.2013.01.010",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 500,
                "image_height": 435,
                "name": "Viola_Ivan_2013_GS-.jpg",
                "type": "image/jpeg",
                "size": 53391,
                "path": "Publication:Viola_Ivan_2013_GS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/Viola_Ivan_2013_GS-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_GS/",
        "__class": "Publication"
    },
    {
        "id": "kaserer-2013-webdicom",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "DICOM Web Viewer",
        "date": "2013-07",
        "abstract": "The aim of this thesis is to introduce a web-based and open source DICOM viewer. Web technologies have already been successfully used in medical informatics. Since software used for medical applications is commonly proprietary and mostly restricted to certain operation systems, the combination of web technologies together with the DICOM standard is a natural next step. For this reason, this Bachelor's Thesis attempts to lay the basis for such an open source project. Digital Imaging and Communication in Medicine (DICOM) is an established and nonproprietary standard for the storage and the exchange of information in medical imaging. DICOM defines not only a data format, but it specifies also a network protocol based on the ISO/OSI-model. This work provides first an overview of the DICOM's history and describes its main concepts. Health Level 7 (HL7) is an industry standard for the data exchange between different hospital information systems. Integrating the Healthcare Enterprise (IHE) is an initiative that aims to harmonize the exchange of data between information systems in health by promoting common standards such as DICOM and HL7. Based on a clinical workflow, the interaction of DICOM and HL7 by using IHE is shown. The DICOM Web Viewer was designed as a \"Rich Internet Application\" and developed in JavaScript, HTML5 and CSS3. To create an easy to use user interface, state-of-the-art DICOM viewers were investigated and a common set of features were identified. DICOM files are parsed directly in the browser using JavaScript and then visualized using the HTML5 <canvas> element. In the appendix the source code is described in detail and all third-party libraries get listed. The implementation shows, that web technologies are well suited to view DICOM images in a web browser. Especially its cross-platform usability makes the DICOM Web Viewer even more promising for the future and may replace traditional proprietary software.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1177
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "The written bachelor thesis (2.6 MB).",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kaserer-2013-webdicom-thesis.pdf",
                "type": "application/pdf",
                "size": 2637845,
                "path": "Publication:kaserer-2013-webdicom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kaserer-2013-webdicom/kaserer-2013-webdicom-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/kaserer-2013-webdicom/kaserer-2013-webdicom-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kaserer-2013-webdicom/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2013_AnaRaster",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analytic Rasterization on GPGPUs",
        "date": "2013-07",
        "abstract": "In this poster we present an overview of our work on analytic anti-aliased rasterization. In contrast to the traditional supersampling approach, we use exact prefiltering to remove frequencies above the Nyquist limit. This is enabled by performing exact hidden surface elimination to compute the visible regions of all scene primitives. We derived a closed-form solution to subsequent prefilter convolution which guarantees high-quality anti-aliasing up to numerical precision. Our analytic rasterization pipeline is based on several highly parallel algorithms and an efficient implementation in CUDA is presented as well as several result images of its performance on complex scenes. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "test",
            "filetitle": "Prefiltered sampling",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 441,
            "image_height": 283,
            "name": "Auzinger_2013_AnaRaster-Prefiltered sampling.png",
            "type": "image/png",
            "size": 16175,
            "path": "Publication:Auzinger_2013_AnaRaster",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Prefiltered sampling.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Prefiltered sampling:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_from": "2013-07-08",
        "date_to": "2013-07-12",
        "event": "PUMPS Summer School",
        "location": "Barcelona",
        "note": "Best Poster Award",
        "research_areas": [],
        "keywords": [
            "hidden surface elimination",
            "vector format",
            "analytic",
            "rasterization",
            "CUDA",
            "GPGPU",
            "prefiltering",
            "anti-aliasing",
            "parallel",
            "aliasing",
            "closed-form",
            "visibility",
            "convolution",
            "filter"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The final version of the presented poster.",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 91,
                "preview_image_height": 129,
                "name": "Auzinger_2013_AnaRaster-Poster.pdf",
                "type": "application/pdf",
                "size": 2905726,
                "path": "Publication:Auzinger_2013_AnaRaster",
                "preview_name": "Auzinger_2013_AnaRaster-Poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 10663,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Poster:thumb{{size}}.png"
            },
            {
                "description": "test",
                "filetitle": "Prefiltered sampling",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 441,
                "image_height": 283,
                "name": "Auzinger_2013_AnaRaster-Prefiltered sampling.png",
                "type": "image/png",
                "size": 16175,
                "path": "Publication:Auzinger_2013_AnaRaster",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Prefiltered sampling.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/Auzinger_2013_AnaRaster-Prefiltered sampling:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaRaster/",
        "__class": "Publication"
    },
    {
        "id": "STURN-2013-LSI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Landspotting: A Serious iPad Game for Improving Global Land Cover",
        "date": "2013-07",
        "abstract": "Current satellite-derived land cover products, which are very important for answering many crucial research and policy-related questions, show huge disagreements. In this paper we present a serious game for the iPad with the purpose of improving global land cover data. We describe the game, discuss the design decisions made and outline the challenges faced while developing the game. We evaluate how well the players are able to annotate land cover by comparing the game against expert validations collected using the Geo-Wiki tool and provide evidence that games can be a useful way to increase the quality of global land cover.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Landspotting_iPad",
            "filetitle": "Landspotting_iPad",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 960,
            "image_height": 960,
            "name": "STURN-2013-LSI-Landspotting_iPad.jpeg",
            "type": "image/jpeg",
            "size": 94789,
            "path": "Publication:STURN-2013-LSI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Landspotting_iPad.jpeg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Landspotting_iPad:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            909,
            1018,
            1109,
            988,
            193
        ],
        "booktitle": "Proceedings of the GI-Forum 2013 -- Creating the GISociety",
        "date_from": "2013-07-02",
        "date_to": "2013-07-05",
        "isbn": "978-3-87907-532-4",
        "lecturer": [
            909
        ],
        "location": "University of Salzburg",
        "organization": "Z_GIS - Department of Geoinformatics",
        "pages_from": "81",
        "pages_to": "90",
        "publisher": "Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press ",
        "research_areas": [],
        "keywords": [
            "Landspotting",
            "Serious Game",
            "Improving Global Land Cover"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Landspotting_iPad",
                "filetitle": "Landspotting_iPad",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 960,
                "name": "STURN-2013-LSI-Landspotting_iPad.jpeg",
                "type": "image/jpeg",
                "size": 94789,
                "path": "Publication:STURN-2013-LSI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Landspotting_iPad.jpeg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Landspotting_iPad:thumb{{size}}.png"
            },
            {
                "description": "Landspotting: A Serious iPad Game for Improving Global Land Cover",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STURN-2013-LSI-Paper.pdf",
                "type": "application/pdf",
                "size": 187444,
                "path": "Publication:STURN-2013-LSI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Paper:thumb{{size}}.png"
            },
            {
                "description": "Landspotting Agit 2013 Slides",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STURN-2013-LSI-Slides.pptx",
                "type": "application/zip",
                "size": 325382758,
                "path": "Publication:STURN-2013-LSI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/STURN-2013-LSI-Slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Landspotting"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LSI/",
        "__class": "Publication"
    },
    {
        "id": "Sturn-2013-ST",
        "type_id": "book",
        "tu_id": 223403,
        "repositum_id": null,
        "title": "Sturning Technology - Real-Time Rendering of Non Photorealistic 3d Worlds",
        "date": "2013-07",
        "abstract": "We introduce a new technology, “Sturning Technology” for artistic, non photorealistic, emotional real time rendering of 3d scenes and blending between the different emotional renderings to show the current emotional state of the viewer of the scene. The European art history with Impressionism, Expressionism and Romanticism is taken as reference for creating these emotional renderings because the painters of these areas wanted to evoke nothing more but pure emotions in just one single “frame”. This technology can be used for all kinds of interactive applications but mainly for games in which the player naturally undergoes many different sensations. We believe that emotional renderings can help a lot to create a much deeper emotional gaming experience where the graphics are directly linked to the emotional state of the player.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Cover",
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Sturn-2013-ST-Image.png",
            "type": "image/png",
            "size": 1490976,
            "path": "Publication:Sturn-2013-ST",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sturn-2013-ST/Sturn-2013-ST-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sturn-2013-ST/Sturn-2013-ST-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            909
        ],
        "isbn": "978-3-639-47141-0",
        "pages": "104",
        "publisher": "AV Akademikerverlag",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Computer Graphics",
            "Emotional Rendering",
            "Non Photorealistic Rendering",
            "Real-Time Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Cover",
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Sturn-2013-ST-Image.png",
                "type": "image/png",
                "size": 1490976,
                "path": "Publication:Sturn-2013-ST",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sturn-2013-ST/Sturn-2013-ST-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sturn-2013-ST/Sturn-2013-ST-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sturn-2013-ST/",
        "__class": "Publication"
    },
    {
        "id": "scheiblauer-2013-wscg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis of Interactive Editing Operations for Out-of-Core Point-Cloud Hierarchies",
        "date": "2013-06",
        "abstract": "In this paper we compare the time and space complexity of editing operations on two data structures which are suitable for visualizing huge point clouds. The first data structure was introduced by Scheiblauer and Wimmer [SW11]\nand uses only the original points from a source data set for building a level-of-detail hierarchy that can be used for\nrendering points clouds. The second data structure introduced by Wand et al. [WBB+07] requires additional points\nfor the level-of-detail hierarchy and therefore needs more memory when stored on disk. Both data structures are\nbased on an octree hierarchy and allow for deleting and inserting points. Besides analyzing and comparing these\ntwo data structures we also introduce an improvement to the points deleting algorithm for the data structure of\nWand et al. [WBB+07], which thus allows for a more efficient node loading strategy during rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Stephansdom overdraw with MNO at 1px point size.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "scheiblauer-2013-wscg-image.png",
            "type": "image/png",
            "size": 271004,
            "path": "Publication:scheiblauer-2013-wscg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            193
        ],
        "booktitle": "WSCG 2013 Full Paper Proceedings",
        "date_from": "2013-06-24",
        "date_to": "2013-06-27",
        "editor": "Vaclav Skala",
        "isbn": "978-80-86943-74-9",
        "lecturer": [
            614
        ],
        "location": "Plzen",
        "pages_from": "123",
        "pages_to": "132",
        "publisher": "Union Agency",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "complexity analysis",
            "point clouds",
            "data structures",
            "viewing algorithms"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Stephansdom overdraw with MNO at 1px point size.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "scheiblauer-2013-wscg-image.png",
                "type": "image/png",
                "size": 271004,
                "path": "Publication:scheiblauer-2013-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-image:thumb{{size}}.png"
            },
            {
                "description": "The submitted paper.",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-2013-wscg-paper.pdf",
                "type": "application/pdf",
                "size": 5288961,
                "path": "Publication:scheiblauer-2013-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/scheiblauer-2013-wscg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/scheiblauer-2013-wscg/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_RMA",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rule-based method for automatic scaffold assembly from 3D building models",
        "date": "2013-06",
        "abstract": "To manually specify an optimal scaffold assembly for a given building geometry is a time consuming task. Our goal is to automate the process of selecting and placing scaffold components in order to design an optimal scaffold assembly for a specific building. The resulting assembly must be possible to construct in practice, should be practical to use for the workers, must satisfy governmental rules and regulations and should ideally result in minimum accumulated component cost. We propose a novel procedural modeling pipeline based on an input house model. First we extract vital coordinates from the house model that define the 3D scaffold placement. These coordinates are the basis for defining the positioning of scaffold cells. In the next step we populate the cells with actual scaffold components geometry. The resulting model is visualized to assist the assembly process. Additionally it is decomposed into elementary building blocks to produce assembly component lists to estimate the scaffold cost estimates, compute the weight for transportation and packing of components from a warehouse. The result from the automated process is compared to scaffold design produced manually by a professional scaffold designer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 867,
            "image_height": 521,
            "name": "Viola_Ivan_2013_RMA-Image.png",
            "type": "image/png",
            "size": 325286,
            "path": "Publication:Viola_Ivan_2013_RMA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1146,
            1147,
            1148,
            1149,
            171
        ],
        "issn": "0097-8493",
        "journal": "Computer & Graphics",
        "number": "4",
        "pages_from": "256",
        "pages_to": "268",
        "volume": "37",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1016/j.cag.2013.01.007",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 867,
                "image_height": 521,
                "name": "Viola_Ivan_2013_RMA-Image.png",
                "type": "image/png",
                "size": 325286,
                "path": "Publication:Viola_Ivan_2013_RMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/Viola_Ivan_2013_RMA-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RMA/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_RSb",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rapid Sketch-based 3D Modeling of Geology",
        "date": "2013-06",
        "abstract": "We present and compare two different approaches for performing rapid 3D geological modeling. The ad-hoc\napproach is based on a composition of many specialized modeling functions, while the generic approach provides\none powerful, generic modeling function. Our experiences after developing these two approaches are that the\nsolution space of 3D geological modeling is more extensive than we initially expected and most likely larger than\nfor other modeling domains such as architecture. Further, more research is needed to investigate whether it is\npossible to find one well defined toolset of sketching metaphors that is able to cover all of geological modeling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1792,
            "image_height": 712,
            "name": "Viola_Ivan_2013_RSb-.png",
            "type": "image/png",
            "size": 543050,
            "path": "Publication:Viola_Ivan_2013_RSb",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1150,
            1165,
            616,
            171
        ],
        "booktitle": "Proceedings of EnvirVis Short Papers 2013, 2013",
        "date_from": "2013-06-17",
        "date_to": "2013-06-18",
        "lecturer": [
            1150
        ],
        "location": "Leipzig, Germany",
        "note": "Workshop on Visualisation in Environmental Sciences (EnvirVis) (2013)",
        "organization": "Euro Vis 2013",
        "pages_from": "1",
        "pages_to": "5",
        "publisher": "Springer",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1792,
                "image_height": 712,
                "name": "Viola_Ivan_2013_RSb-.png",
                "type": "image/png",
                "size": 543050,
                "path": "Publication:Viola_Ivan_2013_RSb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_RSb-Paper.pdf",
                "type": "application/pdf",
                "size": 2574610,
                "path": "Publication:Viola_Ivan_2013_RSb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/Viola_Ivan_2013_RSb-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_RSb/",
        "__class": "Publication"
    },
    {
        "id": "JAHRMANN-2013-IGR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Grass Rendering Using Real-Time Tessellation",
        "date": "2013-06",
        "abstract": "Grass rendering is needed for many outdoor scenes, but for real-time applications, rendering each blade of grass as geometry has been too expensive so far. This is why grass is most often drawn as a texture mapped onto the ground or grass patches rendered as transparent billboard quads. Recent approaches use geometry for blades that are near the camera and flat geometry for rendering further away. In this paper, we present a technique which is capable of rendering whole grass fields in real time as geometry by exploiting the capabilities of the tessellation shader. Each single blade of grass is rendered as a two-dimensional tessellated quad facing its own random direction. This enables each blade of grass to be influenced by wind and to interact with its environment. In order to adapt the grass field to the current scene, special textures are developed which encode on the one hand the density and height of the grass and on the other hand its look and composition.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 636,
            "image_height": 344,
            "name": "JAHRMANN-2013-IGR-image.png",
            "type": "image/png",
            "size": 455254,
            "path": "Publication:JAHRMANN-2013-IGR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1009,
            193
        ],
        "booktitle": "WSCG 2013 Full Paper Proceedings",
        "date_from": "2013-06-24",
        "date_to": "2013-06-27",
        "editor": "Manuel Oliveira and Vaclav Skala",
        "isbn": "978-80-86943-74-9",
        "lecturer": [
            1009
        ],
        "location": "Plzen, CZ",
        "pages_from": "114",
        "pages_to": "122",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "grass rendering",
            "real-time rendering",
            "billboards"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 636,
                "image_height": 344,
                "name": "JAHRMANN-2013-IGR-image.png",
                "type": "image/png",
                "size": 455254,
                "path": "Publication:JAHRMANN-2013-IGR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JAHRMANN-2013-IGR-paper.pdf",
                "type": "application/pdf",
                "size": 6532429,
                "path": "Publication:JAHRMANN-2013-IGR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "JAHRMANN-2013-IGR-video.flv",
                "type": "video/x-flv",
                "size": 10143223,
                "path": "Publication:JAHRMANN-2013-IGR",
                "preview_name": "JAHRMANN-2013-IGR-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 13572,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-video.flv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/JAHRMANN-2013-IGR-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/JAHRMANN-2013-IGR/",
        "__class": "Publication"
    },
    {
        "id": "karimov-2013-vivisection",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "ViviSection: Skeleton-based Volume Editing",
        "date": "2013-06",
        "abstract": "Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation\ntechniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing\nof the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation\nresults. Our method exploits structural features of the segmented object to enable intuitive and robust correction\nand verification. We demonstrate that our new approach can significantly increase the segmentation quality even\nin difficult cases such as in the presence of severe pathologies.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 960,
            "image_height": 720,
            "preview_image_width": 960,
            "preview_image_height": 720,
            "name": "karimov-2013-vivisection-image.png",
            "type": "image/png",
            "size": 1114067,
            "path": "Publication:karimov-2013-vivisection",
            "preview_name": "karimov-2013-vivisection-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 1392949,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            925,
            869,
            950,
            935,
            1107,
            1108,
            161,
            166
        ],
        "date_from": "2013-06-17",
        "date_to": "2013-06-21",
        "event": "Eurographics Conference on Visualization (EuroVis)",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            925
        ],
        "location": "Leipzig, Germany",
        "number": "3",
        "pages_from": "461",
        "pages_to": "470",
        "volume": "32",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12133/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "fast-forward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "karimov-2013-vivisection-fast-forward.avi",
                "type": "video/x-msvideo",
                "size": 3828718,
                "path": "Publication:karimov-2013-vivisection",
                "preview_name": "karimov-2013-vivisection-fast-forward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 43386,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-fast-forward:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "preview_image_width": 960,
                "preview_image_height": 720,
                "name": "karimov-2013-vivisection-image.png",
                "type": "image/png",
                "size": 1114067,
                "path": "Publication:karimov-2013-vivisection",
                "preview_name": "karimov-2013-vivisection-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 1392949,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2013-vivisection-paper.pdf",
                "type": "application/pdf",
                "size": 22987973,
                "path": "Publication:karimov-2013-vivisection",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "karimov-2013-vivisection-slides.pptx",
                "type": "application/zip",
                "size": 160427593,
                "path": "Publication:karimov-2013-vivisection",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 960,
                "preview_image_height": 720,
                "name": "karimov-2013-vivisection-video.mp4",
                "type": "video/mp4",
                "size": 18476989,
                "path": "Publication:karimov-2013-vivisection",
                "preview_name": "karimov-2013-vivisection-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 35598,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/karimov-2013-vivisection-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/karimov-2013-vivisection/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2013-cfa",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vessel Visualization using Curvicircular Feature Aggregation",
        "date": "2013-06",
        "abstract": "Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1778,
            "image_height": 870,
            "name": "mistelbauer-2013-cfa-image.png",
            "type": "image/png",
            "size": 1180396,
            "path": "Publication:mistelbauer-2013-cfa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869,
            1064,
            806,
            1047,
            1049,
            169,
            162,
            161,
            166
        ],
        "date_from": "2013-06-17",
        "date_to": "2013-06-21",
        "event": "Eurographics Conference on Visualization (EuroVis)",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            869
        ],
        "location": "Leipzig, Germany",
        "number": "3",
        "pages_from": "231",
        "pages_to": "240",
        "volume": "32",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12110/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Demo video (27 MB).",
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 884,
                "name": "mistelbauer-2013-cfa-demo.avi",
                "type": "video/x-msvideo",
                "size": 26619442,
                "path": "Publication:mistelbauer-2013-cfa",
                "preview_name": "mistelbauer-2013-cfa-demo:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41141,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-demo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-demo:video.mp4"
            },
            {
                "description": "Fast forward (16 MB).",
                "filetitle": "fastforward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "mistelbauer-2013-cfa-fastforward.avi",
                "type": "video/x-msvideo",
                "size": 15560320,
                "path": "Publication:mistelbauer-2013-cfa",
                "preview_name": "mistelbauer-2013-cfa-fastforward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14964,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-fastforward.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-fastforward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-fastforward:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1778,
                "image_height": 870,
                "name": "mistelbauer-2013-cfa-image.png",
                "type": "image/png",
                "size": 1180396,
                "path": "Publication:mistelbauer-2013-cfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-image:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2013-cfa-paper.pdf",
                "type": "application/pdf",
                "size": 7877094,
                "path": "Publication:mistelbauer-2013-cfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-paper:thumb{{size}}.png"
            },
            {
                "description": "The questionnaire, which was used for our evaluation.",
                "filetitle": "questionnaire",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2013-cfa-questionnaire.pdf",
                "type": "application/pdf",
                "size": 1917053,
                "path": "Publication:mistelbauer-2013-cfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-questionnaire.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/mistelbauer-2013-cfa-questionnaire:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mistelbauer-2013-cfa/",
        "__class": "Publication"
    },
    {
        "id": "Parzer_2013_IIG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Irrational Image Generator",
        "date": "2013-06",
        "abstract": "An approach called Inductive Rotation (IR), developed by artist Hofstetter Kurt, can be used to create intricate patterns that fill the 2D plane from a single prototile by repeated translation and rotation. These patterns are seemingly nonperiodic and have interesting features, both from a mathematical and artistic viewpoint.\n\nThe IR method has not yet been described in scientific literature. It is related to and has been inspired by aperiodic tilings like the well-known Penrose tilings.\n\nDuring the course of this thesis some research on the patterns generated by Inductive Rotation has been done and algorithms that allow for automatic generation of these patterns have been developed. The implementation is then called the Irrational Image\nGenerator, a tool that on the one hand is a reference implementation of the IR method,and on the other hand can be used by the artist for further experimentation to fully utilize the artistic possibilities of the IR approach.\n\nThe Irrational Image Generator is preceded by a series of prototypes, that have been developed to get a better grasp of the expected results and performance of the tool.\n\nEach prototype as well as the final implementation were tested by Hofstetter Kurt. This iterative development process has led to two different implementation approaches that\nboth have their advantages and disadvantages. For this reason, both methods have been considered in the final implementation.\n\nGeneration algorithms that operate on geometry instead of directly manipulating bitmap data have been developed. The program makes use of the GPU through OpenGL to render the resulting patterns through textured polygons.\n\nIt turns out that run-time and memory usage of the IR algorithm grow exponentially with the number of iterations. This means that iteration numbers are limited, although\nthe tool’s performance is sufficient for artistic purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            854
        ],
        "date_end": "2013",
        "date_start": "2013",
        "matrikelnr": "0000000",
        "supervisor": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image 1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2043,
                "image_height": 2077,
                "name": "Parzer_2013_IIG-Image 1.jpg",
                "type": "image/jpeg",
                "size": 367626,
                "path": "Publication:Parzer_2013_IIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Image 1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Image 1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Image 2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 2082,
                "name": "Parzer_2013_IIG-Image 2.png",
                "type": "image/png",
                "size": 291850,
                "path": "Publication:Parzer_2013_IIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Image 2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Image 2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Parzer_2013_IIG-Poster.pdf",
                "type": "application/pdf",
                "size": 451743,
                "path": "Publication:Parzer_2013_IIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Parzer_2013_IIG-Thesis.pdf",
                "type": "application/pdf",
                "size": 13086105,
                "path": "Publication:Parzer_2013_IIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/Parzer_2013_IIG-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Parzer_2013_IIG/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2013-FSBE",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Freeform Shadow Boundary Editing",
        "date": "2013-05",
        "abstract": "We present an algorithm for artistically modifying physically based shadows. With our tool, an artist can directly edit the shadow boundaries in the scene in an intuitive fashion similar to freeform curve editing. Our algorithm then makes these shadow edits consistent with respect to varying light directions and scene configurations, by creating a shadow mesh from the new silhouettes. The shadow mesh helps a modified shadow volume algorithm cast shadows that conform to the artistic shadow boundary edits, while providing plausible interaction with dynamic environments, including animation of both characters and light sources. Our algorithm provides significantly more fine-grained local and direct control than previous artistic light editing methods, which makes it simple to adjust the shadows in a scene to reach a particular effect, or to create interesting shadow shapes and shadow animations. All cases are handled with a single intuitive interface, be it soft shadows, or (self-)shadows on arbitrary receivers.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 645,
            "image_height": 715,
            "name": "MATTAUSCH-2013-FSBE-image.png",
            "type": "image/png",
            "size": 1386546,
            "path": "Publication:MATTAUSCH-2013-FSBE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            1040,
            193
        ],
        "date_from": "2013-05-06",
        "date_to": "2013-05-10",
        "event": "EUROGRAPHICS 2013",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceeding of EUROGRAPHICS 2013)",
        "lecturer": [
            326
        ],
        "location": "Girona",
        "number": "2",
        "pages_from": "175",
        "pages_to": "184",
        "volume": "32",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadows",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 964,
                "name": "MATTAUSCH-2013-FSBE-.png",
                "type": "image/png",
                "size": 2967217,
                "path": "Publication:MATTAUSCH-2013-FSBE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2013-FSBE-draft.pdf",
                "type": "application/pdf",
                "size": 37786612,
                "path": "Publication:MATTAUSCH-2013-FSBE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 645,
                "image_height": 715,
                "name": "MATTAUSCH-2013-FSBE-image.png",
                "type": "image/png",
                "size": 1386546,
                "path": "Publication:MATTAUSCH-2013-FSBE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2013-FSBE-slides.pptx",
                "type": "application/zip",
                "size": 94283447,
                "path": "Publication:MATTAUSCH-2013-FSBE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "MATTAUSCH-2013-FSBE-video.mp4",
                "type": "video/mp4",
                "size": 64901895,
                "path": "Publication:MATTAUSCH-2013-FSBE",
                "preview_name": "MATTAUSCH-2013-FSBE-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 42292,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/MATTAUSCH-2013-FSBE-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MATTAUSCH-2013-FSBE/",
        "__class": "Publication"
    },
    {
        "id": "MeierStauffer-2013-iihf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Local Lighting in Dynamic Height Fields",
        "date": "2013-05",
        "abstract": "This thesis presents a method to compute soft shadows from environment maps and local light sources on dynamic height fields, extending the work of Snyder et al. [29]. While direct illumination in static scenes is very common in video games and 3D applications, real-time global illumination methods supporting dynamic scenes and lights are still an active field of research.\r\n\r\nIn this work, a short general introduction to global illumination and spherical harmonics is presented as well as an overview of the state of the art methods in interactive global illumination for height fields.\r\n\r\nIn our method, visibility at each receiver point of a height field is determined by the visible horizon, which can be approximated efficiently using a multi-resolution sampling approach. Local light sources are represented by spherical lights and the incident radiance at receiver points is projected into the spherical harmonic basis. Hence, this method produces convincing shadows on dynamic height fields more efficiently than global illumination methods for general geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1002,
            "image_height": 926,
            "name": "MeierStauffer-2013-iihf-image2.png",
            "type": "image/png",
            "size": 575122,
            "path": "Publication:MeierStauffer-2013-iihf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            776
        ],
        "date_start": "2009-02-18",
        "matrikelnr": "9927153",
        "supervisor": [
            627,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Spherical Harmonics",
            "Height Fields",
            "Indirect Illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2004,
                "image_height": 1852,
                "name": "MeierStauffer-2013-iihf-image1.jpg",
                "type": "image/jpeg",
                "size": 1148417,
                "path": "Publication:MeierStauffer-2013-iihf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image1:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1002,
                "image_height": 926,
                "name": "MeierStauffer-2013-iihf-image2.png",
                "type": "image/png",
                "size": 575122,
                "path": "Publication:MeierStauffer-2013-iihf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-image2:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MeierStauffer-2013-iihf-poster.pdf",
                "type": "application/pdf",
                "size": 14797615,
                "path": "Publication:MeierStauffer-2013-iihf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MeierStauffer-2013-iihf-thesis.pdf",
                "type": "application/pdf",
                "size": 36380158,
                "path": "Publication:MeierStauffer-2013-iihf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/MeierStauffer-2013-iihf-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/MeierStauffer-2013-iihf/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2013-csl",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Contextual Snapshots: Enriched Visualization with Interactive Spatial Annotations",
        "date": "2013-05",
        "abstract": "Spatial selections are a ubiquitous concept in visualization. By localizing particular features, they can be analyzed and compared in different views. However, the semantics of such selections are often dependent on other parameter settings and it can be difficult to reconstruct them without additional information. In this paper, we present the concept of contextual snapshots as an effective means for managing spatial selections in visualized data. The selections are automatically associated with the context in which they have been created. Contextual snapshots can be also used as the basis for interactive integrated and linked views, which enable in-place investigation and comparison of multiple visual representations of data. Our approach is implemented as a flexible toolkit with welldefined interfaces for integration into existing systems. We demonstrate the power and generality of our techniques by applying them to several distinct scenarios such as the visualization of simulation data and the analysis of historical documents.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 258,
            "name": "mindek-2013-csl-.png",
            "type": "image/png",
            "size": 52622,
            "path": "Publication:mindek-2013-csl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            161,
            166
        ],
        "booktitle": "Proceedings of the 29th Spring Conference on Computer Graphics",
        "date_from": "2013-05-01",
        "date_to": "2013-05-03",
        "lecturer": [
            935
        ],
        "location": "Smolenice, Slovakia",
        "series": "SCCG ",
        "research_areas": [],
        "keywords": [
            "spatial selections",
            "annotations",
            "linked views",
            "provenance"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 258,
                "name": "mindek-2013-csl-.png",
                "type": "image/png",
                "size": 52622,
                "path": "Publication:mindek-2013-csl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2013-csl-Paper.pdf",
                "type": "application/pdf",
                "size": 5355143,
                "path": "Publication:mindek-2013-csl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2013-csl-Slides.zip",
                "type": "application/zip",
                "size": 15891107,
                "path": "Publication:mindek-2013-csl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Slides.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "mindek-2013-csl-Video.avi",
                "type": "video/x-msvideo",
                "size": 16619348,
                "path": "Publication:mindek-2013-csl",
                "preview_name": "mindek-2013-csl-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 29485,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/mindek-2013-csl-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-csl/",
        "__class": "Publication"
    },
    {
        "id": "Musialski-2013-ipmum",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Inverse-Procedural Methods for Urban Models",
        "date": "2013-05",
        "abstract": "Procedural modeling is an elegant and fast way to generate huge complex and realistically looking urban sites. Due to its generative nature it can also be referred to as forward-procedural modeling. Its major drawback  is the usually quite complicated way of control. To overcome this difficulty a novel modeling paradigm has been introduced: it is commonly referred to as inverse procedural modeling, and its goal is to generate compact procedural descriptions of existing models---in the best case in an automatic manner as possible. These compact procedural representations can be used as a source for the synthesis of identical or similar objects, applied in various simulations and other studies of urban environments. We believe that this technology is still a widely unexplored ground and that it will prove itself as a very important tool in the reconstruction process. In this paper we sketch  how inverse procedural modeling can be applied in the urban modeling field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "ipm-pipeline scheme",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1200,
            "image_height": 585,
            "name": "Musialski-2013-ipmum-image.png",
            "type": "image/png",
            "size": 253885,
            "path": "Publication:Musialski-2013-ipmum",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            193
        ],
        "booktitle": "Proceedings of Eurographics Workshop on Urban Data Modelling and Visualisation (UDMV 2013)",
        "date_from": "2013-05-05",
        "date_to": "2013-05-05",
        "editor": "V. Tourre and G. Besuievsky",
        "isbn": "978-3-905674-46-0",
        "issn": "2307-8251",
        "lecturer": [
            844
        ],
        "location": "Girona, Spain",
        "pages_from": "31",
        "pages_to": "32",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "inverse procedural modeling",
            "urban modeling",
            "urban reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "ipm-pipeline scheme",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1200,
                "image_height": 585,
                "name": "Musialski-2013-ipmum-image.png",
                "type": "image/png",
                "size": 253885,
                "path": "Publication:Musialski-2013-ipmum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper-draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Musialski-2013-ipmum-paper-draft.pdf",
                "type": "application/pdf",
                "size": 326400,
                "path": "Publication:Musialski-2013-ipmum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-paper-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/Musialski-2013-ipmum-paper-draft:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Musialski-2013-ipmum/",
        "__class": "Publication"
    },
    {
        "id": "Novotny_2013_ASVD",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application of Smart Visibility on Medical 3D Ultrasound Datasets",
        "date": "2013-05",
        "abstract": "Ultrasonography is one of the standard medical imaging techniques used in pregnancy examinations.  It is widely available due to its low cost, portability and simple diagnostic procedure.  In recent years, three-dimensional ultrasound (US) imaging has been gaining popularity in the area of prenatal care. It provides examiners with a coherent visualization of the fetus. However, within scanned 3D datasets, the fetus is often surrounded by occluding structures which reduce its visibility in the resulting visualizations. Current ultrasound machines provide several methods to remove these occluders from visualizations. These methods are often difficult to control in the real-time setting of an US examination session. As a result, the work flow of US\nexaminations has to be interrupted in order to apply occlusion removal to selected scans.\n\nIn an attempt to reduce the required user interaction, this thesis evaluates a recently developed occlusion removal technique. The smart visibility method for prenatal ultrasound analyzes the ray profiles during an execution of a ray casting algorithm. This analysis identifies anatomic features within a dataset. From these features, a clipping surface that separates the fetus from its occluders is calculated. The clipping surface is used to remove occlusions from the visualization.  The use of cutaway and ghosting visualization techniques allow an unoccluded view of the fetus, while retaining its general context within the volume.\n\nThe clipping surface calculated by the smart visibility method is obtained by using a surface reconstruction algorithm. Within this thesis, different surface reconstruction techniques were evaluated for their occlusion removal quality and performance. It was possible to show that one of the evaluated approaches provides good results in a majority of test cases. This approach also reduces the required user interaction to a single parameter. To verify these results, the approach has been tested within a state-of-the-art US firmware. By manipulating the adjustable parameter\nthrough the hardware controls of an US machine, the smart visibility method can be used in real-time scenarios. GE Healthcare is evaluating the smart visibility method and considers to\ninclude it in upcoming versions of their US machine firmwares.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1250,
            "image_height": 1150,
            "name": "Novotny_2013_ASVD-image.jpg",
            "type": "image/jpeg",
            "size": 140528,
            "path": "Publication:Novotny_2013_ASVD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            910
        ],
        "supervisor": [
            166,
            806
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1250,
                "image_height": 1150,
                "name": "Novotny_2013_ASVD-image.jpg",
                "type": "image/jpeg",
                "size": 140528,
                "path": "Publication:Novotny_2013_ASVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Novotny_2013_ASVD-Paper.pdf",
                "type": "application/pdf",
                "size": 22015722,
                "path": "Publication:Novotny_2013_ASVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Novotny_2013_ASVD-Poster.pdf",
                "type": "application/pdf",
                "size": 4027608,
                "path": "Publication:Novotny_2013_ASVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/Novotny_2013_ASVD-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Novotny_2013_ASVD/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_D3D",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Doppler-based 3D Blood Flow Imaging and Visualization",
        "date": "2013-05",
        "abstract": "Blood flow is a very important part of human physiology. In this paper, we present a new method for estimating and visualizing 3D blood flow on-the-fly based on Doppler ultrasound. We add semantic information about the geometry of the blood vessels in order to recreate the actual velocities of the blood. Assuming a laminar flow, the flow direction is related to the general direction of the vessel. Based on the center line of the vessel, we create a vector field representing\nthe direction of the vessel at any given point. The actual flow velocity is then estimated from the Doppler ultrasound signal by back-projecting the velocity in the measured direction, onto the vessel direction. Additionally, we estimate the flux at user-selected cross-sections of the vessel by integrating the velocities over the area of the cross-section.\n\nIn order to visualize the flow and the flux, we propose a visualization\ndesign based on traced particles colored by the flux. The velocities\nare visualized by animating particles in the flow field. Further, we propose a novel particle velocity legend as a means for the user to estimate the numerical value of the current velocity. Finally, we perform an evaluation of the technique where the accuracy of the velocity estimation is measured using a 4D MRI dataset as a basis for the ground truth.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 788,
            "image_height": 984,
            "name": "Viola_Ivan_2013_D3D-.png",
            "type": "image/png",
            "size": 161208,
            "path": "Publication:Viola_Ivan_2013_D3D",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1007,
            1147,
            1159,
            1160,
            1161,
            171
        ],
        "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics",
        "date_from": "2013-05-01",
        "date_to": "2013-05-03",
        "isbn": "978-80-223-3377-1",
        "lecturer": [
            1007
        ],
        "location": "Smolenice, Slovak Republic",
        "pages_from": "128",
        "pages_to": "135",
        "publisher": "ACM Publishing House",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Medical Visualization",
            "Biomedical"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 788,
                "image_height": 984,
                "name": "Viola_Ivan_2013_D3D-.png",
                "type": "image/png",
                "size": 161208,
                "path": "Publication:Viola_Ivan_2013_D3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_D3D-Paper.pdf",
                "type": "application/pdf",
                "size": 5312004,
                "path": "Publication:Viola_Ivan_2013_D3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/Viola_Ivan_2013_D3D-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_D3D/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_HQ3",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality 3D Visualization of In-Situ Ultrasonography",
        "date": "2013-05",
        "abstract": "In recent years medical ultrasound has experienced a rapid development in the quality of real-time 3D ultrasound\n(US) imaging. The image quality of the 3D volume that was previously possible to achieve within the range of a\nfew seconds, is now possible in a fraction of a second. This technological advance offers entirely new opportunities for the use of US in the clinic. In our project, we investigate how real-time 3D US can be combined with high-performance processing of today’s graphics hardware to allow for high-quality 3D visualization and precise navigation during the examination.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1168,
            "image_height": 669,
            "name": "Viola_Ivan_2013_HQ3-.jpg",
            "type": "image/jpeg",
            "size": 370272,
            "path": "Publication:Viola_Ivan_2013_HQ3",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            1007,
            896,
            1162,
            176,
            1163,
            1159,
            1147,
            1164,
            1160,
            1161
        ],
        "booktitle": "EG 2013 - Dirk Bartz Prize",
        "date_from": "2013-05-06",
        "date_to": "2013-05-10",
        "lecturer": [
            171
        ],
        "location": "Girona, Spain",
        "note": "1st Prize - Medical Prize Short Paper",
        "pages_from": "1",
        "pages_to": "4",
        "publisher": "Eurogrpahics",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1168,
                "image_height": 669,
                "name": "Viola_Ivan_2013_HQ3-.jpg",
                "type": "image/jpeg",
                "size": 370272,
                "path": "Publication:Viola_Ivan_2013_HQ3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_HQ3-Paper.pdf",
                "type": "application/pdf",
                "size": 4037432,
                "path": "Publication:Viola_Ivan_2013_HQ3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/Viola_Ivan_2013_HQ3-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_HQ3/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_SVA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Seamless Visual Abstraction of Molecular Surfaces",
        "date": "2013-05",
        "abstract": "Molecular visualization is often challenged with rendering of large\nsequences of molecular simulations in real time. We introduce a\nnovel approach that enables us to show even large protein complexes\nover time in real-time. Our method is based on the level-ofdetail\nconcept, where we exploit three different molecular surface\nmodels, solvent excluded surface (SES), Gaussian kernels and van\nder Waals spheres combined in one visualization. We introduce\nthree shading levels that correspond to their geometric counterparts\nand a method for creating seamless transition between these representations.\nThe SES representation with full shading and added\ncontours stands in focus while on the other side a sphere representation\nwith constant shading and without contours provide the\ncontext. Moreover, we introduce a methodology to render the entire\nmolecule directly using the A-buffer technique, which further\nimproves the performance. The rendering performance is evaluated\non series of molecules of varying atom counts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1935,
            "image_height": 1564,
            "name": "Viola_Ivan_2013_SVA-.png",
            "type": "image/png",
            "size": 1049474,
            "path": "Publication:Viola_Ivan_2013_SVA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1143,
            951,
            171
        ],
        "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics",
        "date_from": "2013-05-01",
        "date_to": "2013-05-03",
        "editor": "Roman Durikovič, Holly Rushmeier",
        "isbn": "978-80-223-3377-1",
        "lecturer": [
            1143
        ],
        "location": "Smolenice, Slovak Republic",
        "organization": "Comenius University, Bratislava",
        "pages_from": "120",
        "pages_to": "127",
        "publisher": "ACM Publishing House",
        "series": " SCCG '13",
        "research_areas": [
            "BioVis",
            "IllVis"
        ],
        "keywords": [
            "Implicit Surfaces",
            " Level-of-detail",
            "Visualization of Molecular Surfaces"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1935,
                "image_height": 1564,
                "name": "Viola_Ivan_2013_SVA-.png",
                "type": "image/png",
                "size": 1049474,
                "path": "Publication:Viola_Ivan_2013_SVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_SVA-Paper.pdf",
                "type": "application/pdf",
                "size": 8039783,
                "path": "Publication:Viola_Ivan_2013_SVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/Viola_Ivan_2013_SVA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_SVA/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2013-facetCloudsGI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "FacetClouds: Exploring Tag Clouds for Multi-Dimensional Data",
        "date": "2013-05",
        "abstract": "Tag clouds are simple yet very widespread representations of how often certain words appear in a collection. In conventional tag clouds, only a single visual text variable is actively controlled: the tags’ font size. Previous work has demonstrated that font size is indeed the most influential visual text variable. However, there are other variables, such as text color, font style and tag orientation, that could be manipulated to encode additional data dimensions.\n\nFacetClouds manipulate intrinsic visual text variables to encode multiple data dimensions within a single tag cloud. We conducted a series of experiments to detect the most appropriate visual text variables for encoding nominal and ordinal values in a cloud with tags of varying font size. Results show that color is the most expressive variable for both data types, and that a combination of tag rotation and background color range leads to the best overall performance when showing multiple data dimensions in a single tag cloud.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 362,
            "image_height": 360,
            "name": "waldner-2013-facetCloudsGI-image.png",
            "type": "image/png",
            "size": 49904,
            "path": "Publication:waldner-2013-facetCloudsGI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            1111,
            1112,
            1113,
            1114,
            1115
        ],
        "address": "Regina, Saskatchewan, Canada",
        "booktitle": "Proceedings of the 2013 Graphics Interface Conference",
        "date_from": "2013-05-29",
        "date_to": "2013-05-31",
        "isbn": "978-1-4822-1680-6 ",
        "lecturer": [
            1111
        ],
        "location": "Regina, Saskatchewan, Canada",
        "organization": "ACM Siggraph",
        "pages_from": "17",
        "pages_to": "24",
        "publisher": "ACM Publishing House",
        "research_areas": [
            "InfoVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 362,
                "image_height": 360,
                "name": "waldner-2013-facetCloudsGI-image.png",
                "type": "image/png",
                "size": 49904,
                "path": "Publication:waldner-2013-facetCloudsGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 636,
                "preview_image_height": 708,
                "name": "waldner-2013-facetCloudsGI-paper.pdf",
                "type": "application/pdf",
                "size": 2184510,
                "path": "Publication:waldner-2013-facetCloudsGI",
                "preview_name": "waldner-2013-facetCloudsGI-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 189512,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/waldner-2013-facetCloudsGI-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-facetCloudsGI/",
        "__class": "Publication"
    },
    {
        "id": "waldner-2013-ubiWM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards Ubiquitous Information Space Management",
        "date": "2013-05",
        "abstract": "Large, high-resolution display spaces are usually created by carefully aligning multiple monitors or projectors to obtain a perfectly flat, rectangular display. In this paper, we suggest the usage of imperfect surfaces as extension of personal workspaces to create ubiquitous, personalized information spaces. We identify five environmental factors ubiquitous information spaces need to consider: 1) user location and display visibility, 2) display gaps and holes, 3) corners and non-planarity of the display surface, 4) physical objects within and around the display surface, and 5) non-rectangular display shapes. Instead of compensating for fragmentations and non-planarity of the information space, we propose a ubiquitous information space manager, adapting interaction and window rendering techniques to the above mentioned factors. We hypothesize that knowledge workers will benefit from such ubiquitous information spaces due to increased exploitation of spatial cognition.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 238,
            "name": "waldner-2013-ubiWM-.png",
            "type": "image/png",
            "size": 39630,
            "path": "Publication:waldner-2013-ubiWM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1110,
            202
        ],
        "booktitle": "POWERWALL: International Workshop on Interactive, Ultra-High-Resolution Displays, part of the SIGCHI Conference on Human Factors in Computing Systems (2013)",
        "date_from": "2013-04-27",
        "date_to": "2013-05-02",
        "isbn": "978-1-4503-1952-2",
        "lecturer": [
            1110
        ],
        "location": "Paris, France",
        "pages_from": "1",
        "pages_to": "6",
        "publisher": "ACM",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "information management",
            "ubiquitous displays"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 238,
                "name": "waldner-2013-ubiWM-.png",
                "type": "image/png",
                "size": 39630,
                "path": "Publication:waldner-2013-ubiWM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Position Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waldner-2013-ubiWM-Position Paper.pdf",
                "type": "application/pdf",
                "size": 846295,
                "path": "Publication:waldner-2013-ubiWM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-Position Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/waldner-2013-ubiWM-Position Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/waldner-2013-ubiWM/",
        "__class": "Publication"
    },
    {
        "id": "2013_Viola_Ivan_2013_MTS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling Terrains and Subsurface Geology",
        "date": "2013-05",
        "abstract": "The process of creating terrain and landscape models is important in a variety of computer graphics and visualization\r\napplications, from films and computer games, via flight simulators and landscape planning, to scientific\r\nvisualization and subsurface modelling. Interestingly, the modelling techniques used in this large range of application\r\nareas have started to meet in the last years. In this state-of-the-art report, we present two taxonomies of\r\ndifferent modelling methods. Firstly we present a data oriented taxonomy, where we divide modelling into three\r\ndifferent scenarios: the data-free, the sparse-data and the dense-data scenario. Then we present a workflow oriented\r\ntaxonomy, where we divide modelling into the separate stages necessary for creating a geological model. We\r\nstart the report by showing that the new trends in geological modelling are approaching the modelling methods\r\nthat have been developed in computer graphics. We then give an introduction to the process of geological modelling\r\nfollowed by our two taxonomies with descriptions and comparisons of selected methods. Finally we discuss\r\nthe challenges and trends in geological modelling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1394,
            "image_height": 894,
            "name": "2013_Viola_Ivan_2013_MTS-.png",
            "type": "image/png",
            "size": 192713,
            "path": "Publication:2013_Viola_Ivan_2013_MTS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1151,
            1150,
            1143,
            171,
            616
        ],
        "booktitle": "INPROCEEDINGS, EuroGraphics 2013 State of the Art Reports (STARs), 2013",
        "date_from": "2013-05-06",
        "date_to": "2013-05-10",
        "lecturer": [
            1151
        ],
        "location": "Girona, Spain",
        "organization": "Eurographics",
        "pages_from": "155",
        "pages_to": "173",
        "publisher": "Eurographics 2013 - State of the Art Reports",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1394,
                "image_height": 894,
                "name": "2013_Viola_Ivan_2013_MTS-.png",
                "type": "image/png",
                "size": 192713,
                "path": "Publication:2013_Viola_Ivan_2013_MTS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "2013_Viola_Ivan_2013_MTS-Paper.pdf",
                "type": "application/pdf",
                "size": 1724489,
                "path": "Publication:2013_Viola_Ivan_2013_MTS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/2013_Viola_Ivan_2013_MTS-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/2013_Viola_Ivan_2013_MTS/",
        "__class": "Publication"
    },
    {
        "id": "ADORJAN-2013-ASE",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Shadow Algorithms - Filtered Hard Shadows",
        "date": "2013-05",
        "abstract": "Shadows play a very important role in enhancing realism of rendered scenes. Scenes without them look unnatural and flat. If you look at them you feel like there is something missing. Furthermore it is hard to determine a spatial relationship between the objects in a scene without shadows. In recent years a lot of papers and articles have been published on the topic of rendering realistic shadows in real time. Many of the presented techniques are based on shadow mapping, which has become widely accepted as a method for shadow rendering.\r\n\r\nThis thesis focuses on giving an overview of commonly used methods to fight aliasing and produce soft-edged shadows in real time by filtering hard shadows created on the basis of shadow mapping. These filtering techniques are integrated into an existing framework, which allows the user to modify different essential parameters to find the best solution regarding shadow creation for a particular scene.\r\n\r\nAdditionally gamma correction as another realism and image quality improving mechanism is explained. We present a tutorial on what to consider when implementing a gamma correct rendering pipeline in DirectX R 11.\r\n\r\nThe resulting software of this thesis is freely available at http://www.realtimeshadows.com.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "ADORJAN-2013-ASE-image.jpg",
            "type": "image/jpeg",
            "size": 582640,
            "path": "Publication:ADORJAN-2013-ASE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1041
        ],
        "date_start": "2012-10-29",
        "matrikelnr": "0927290",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "ADORJAN-2013-ASE-image.jpg",
                "type": "image/jpeg",
                "size": 582640,
                "path": "Publication:ADORJAN-2013-ASE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ADORJAN-2013-ASE-thesis.pdf",
                "type": "application/pdf",
                "size": 21653771,
                "path": "Publication:ADORJAN-2013-ASE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/ADORJAN-2013-ASE-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ADORJAN-2013-ASE/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov_2013_AMA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fuzzy CT Metrology: Dimensional Measurements on Uncertain Data",
        "date": "2013-05",
        "abstract": "Metrology through geometric dimensioning and tolerancing is an important instrument applied for industrial manufacturing and quality control. Typically tactile or optical coordinate measurement machines (CMMs) are used to perform dimensional measurements. In recent years industrial 3D X-ray computed tomography (3DXCT) has been increasingly applied for metrology due to the development of XCT systems with higher accuracy and their ability to capture both internal and external structures of a specimen within one scan. Using 3DXCT the location of the specimen surface is estimated based on the scanned attenuation coefficients. As opposed to tactile or optical measurement techniques, the surface is not explicit and implies a certain positional uncertainty depending on artifacts and noise in the scan data and the used surface extraction algorithm. Moreover, conventional XCT measurement software does not consider uncertainty in the data. In this work we present techniques which account for uncertainty arising in the XCT metrology data flow. Our technique provides the domain experts with uncertainty visualizations, which extend the XCT metrology workflow on different levels. The developed techniques are integrated into a tool utilizing linked views, smart 3D tolerance tagging and plotting functionalities. The presented system is capable of visualizing the uncertainty of measurements on various levels-of-detail. Commonly known geometric tolerance indications are provided as smart tolerance tags. Finally, we incorporate the uncertainty of the data as a context in commonly used measurement plots. The proposed techniques provide an augmented insight into the reliability of geometric tolerances while maintaining the daily workflow of domain specialists, giving the user additional information on the nature of areas with high uncertainty. The presented techniques are evaluated based on domain experts feedback in collaboration with our company partners.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1592,
            "image_height": 1115,
            "name": "amirkhanov_2013_AMA-.jpg",
            "type": "image/jpeg",
            "size": 265325,
            "path": "Publication:amirkhanov_2013_AMA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            611,
            1118,
            613,
            166
        ],
        "booktitle": "SCCG 2013 - 29th Proceedings Spring conference on Computer Graphics",
        "date_from": "2013-05-01",
        "date_to": "2013-05-03",
        "isbn": "978-80-223-3377-1",
        "lecturer": [
            817
        ],
        "location": "Smolenice, Slovak Republic",
        "pages_from": "93",
        "pages_to": "101",
        "publisher": "Comenius university, Bratislava, Slovakia",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "metrology",
            "uncertainty visualization",
            "level-of-details",
            "industrial 3D computed tomography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1592,
                "image_height": 1115,
                "name": "amirkhanov_2013_AMA-.jpg",
                "type": "image/jpeg",
                "size": 265325,
                "path": "Publication:amirkhanov_2013_AMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-:thumb{{size}}.png"
            },
            {
                "description": "Paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov_2013_AMA-paper.pdf",
                "type": "application/pdf",
                "size": 5557898,
                "path": "Publication:amirkhanov_2013_AMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-paper:thumb{{size}}.png"
            },
            {
                "description": "Presentation+materials",
                "filetitle": "presentation_with_materials",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov_2013_AMA-presentation_with_materials.7z",
                "type": "application/octet-stream",
                "size": 24043489,
                "path": "Publication:amirkhanov_2013_AMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-presentation_with_materials.7z",
                "thumb_image_sizes": []
            },
            {
                "description": "Video",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1440,
                "preview_image_height": 1080,
                "name": "amirkhanov_2013_AMA-video.wmv",
                "type": "application/octet-stream",
                "size": 26111151,
                "path": "Publication:amirkhanov_2013_AMA",
                "preview_name": "amirkhanov_2013_AMA-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 48101,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/amirkhanov_2013_AMA-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/amirkhanov_2013_AMA/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2013_AnaVis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analytic Visibility on the GPU",
        "date": "2013-05",
        "abstract": "This paper presents a parallel, implementation-friendly analytic visibility method for triangular meshes. Together with an analytic filter convolution, it allows for a fully analytic solution to anti-aliased 3D mesh rendering on parallel hardware. Building on recent works in computational geometry, we present a new edge-triangle intersection algorithm and a novel method to complete the boundaries of all visible triangle regions after a hidden line elimination step. All stages of the method are embarrassingly parallel and easily implementable on parallel hardware. A GPU implementation is discussed and performance characteristics of the method are shown and compared to traditional sampling-based rendering methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "Auzinger_2013_AnaVis-.png",
            "type": "image/png",
            "size": 1120517,
            "path": "Publication:Auzinger_2013_AnaVis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            193,
            356
        ],
        "date_from": "2013-05-06",
        "date_to": "2013-05-10",
        "event": "Eurographics 2013",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum (Proceeding of EUROGRAPHICS 2013)",
        "lecturer": [
            808
        ],
        "location": "Girona",
        "number": "2",
        "pages_from": "409",
        "pages_to": "418",
        "volume": "32",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "GPU",
            "anti-aliasing",
            "SIMD",
            "filter",
            "rendering",
            "analytic",
            "visibility",
            "close-form",
            "hidden surface elimination",
            "hidden surface removal",
            "GPGPU"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/cgf.12061/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "Auzinger_2013_AnaVis-.png",
                "type": "image/png",
                "size": 1120517,
                "path": "Publication:Auzinger_2013_AnaVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-:thumb{{size}}.png"
            },
            {
                "description": "Fast forward video (Techsmith Screen Capture Codec)(56MB).",
                "filetitle": "Fast forward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Auzinger_2013_AnaVis-Fast forward.avi",
                "type": "video/x-msvideo",
                "size": 58349056,
                "path": "Publication:Auzinger_2013_AnaVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Fast forward:video.mp4"
            },
            {
                "description": "The 3D scene is projected onto the image plane (1) and visibility is resolved in this 2.5D space (2). A new edge-triangle intersection algorithm (3) enables us to extend hidden line elimination (4) to full hidden surface elimination by the use of a novel boundary completion method (5).",
                "filetitle": "Overview of the algorithm",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1155,
                "image_height": 255,
                "name": "Auzinger_2013_AnaVis-Overview of the algorithm.png",
                "type": "image/png",
                "size": 48784,
                "path": "Publication:Auzinger_2013_AnaVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Overview of the algorithm.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Overview of the algorithm:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 181,
                "preview_image_height": 256,
                "name": "Auzinger_2013_AnaVis-Paper.pdf",
                "type": "application/pdf",
                "size": 4798866,
                "path": "Publication:Auzinger_2013_AnaVis",
                "preview_name": "Auzinger_2013_AnaVis-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 34424,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Paper:thumb{{size}}.png"
            },
            {
                "description": "Annotated presentation slides without the videos (2 MB).",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 80,
                "preview_image_height": 60,
                "name": "Auzinger_2013_AnaVis-Slides.pptx",
                "type": "application/zip",
                "size": 2057493,
                "path": "Publication:Auzinger_2013_AnaVis",
                "preview_name": "Auzinger_2013_AnaVis-Slides:preview.png",
                "preview_type": "image/png",
                "preview_size": 5757,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Slides.pptx",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Slides:thumb{{size}}.png"
            },
            {
                "description": "Analytic rendering of pyramidal spikes. This serves as a stress test of the analytic visibility algorithm and even for high depth complexity and small geometric details the scene visibility is robustly and correctly resolved.",
                "filetitle": "Spikes model",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "Auzinger_2013_AnaVis-Spikes model.png",
                "type": "image/png",
                "size": 254428,
                "path": "Publication:Auzinger_2013_AnaVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Spikes model.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Spikes model:thumb{{size}}.png"
            },
            {
                "description": "Analytic rendering of two overlapping zone plates. Visibility of small geometric details is correctly resolved and excellent anti-aliasing up to numeric precision achieved.",
                "filetitle": "Zoneplates model",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "Auzinger_2013_AnaVis-Zoneplates model.png",
                "type": "image/png",
                "size": 1120517,
                "path": "Publication:Auzinger_2013_AnaVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Zoneplates model.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/Auzinger_2013_AnaVis-Zoneplates model:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Auzinger_2013_AnaVis/",
        "__class": "Publication"
    },
    {
        "id": "borgo-2013-gly",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications",
        "date": "2013-05",
        "abstract": "This state of the art report focuses on glyph-based visualization, a common form of visual design where a data set is depicted by a collection of visual objects referred to as glyphs. Its major strength is that patterns of multivariate data involving more than two attribute dimensions can often be more readily perceived in the context of a spatial relationship, whereas many techniques for spatial data such as direct volume rendering find difficult to depict with multivariate or multi-field data, and many techniques for non-spatial data such as parallel coordinates are less able to convey spatial relationships encoded in the data. This report fills several major gaps in the literature, drawing the link between the fundamental concepts in semiotics and the broad spectrum of glyph-based visualization, reviewing existing design guidelines and implementation techniques, and surveying the use of glyph-based visualization in many applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser image",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 533,
            "name": "borgo-2013-gly-teaser.jpg",
            "type": "image/jpeg",
            "size": 127128,
            "path": "Publication:borgo-2013-gly",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1081,
            983,
            1085,
            1084,
            221,
            176,
            1082,
            1083
        ],
        "date_from": "2013-05-06",
        "date_to": "2013-05-10",
        "journal": "Eurographics State of the Art Reports",
        "lecturer": [
            1081,
            983,
            1085,
            1083
        ],
        "location": "Girona, Spain",
        "note": "http://diglib.eg.org/EG/DL/conf/EG2013/stars/039-063.pdf",
        "pages_from": "39",
        "pages_to": "63",
        "publisher": "Eurographics Association",
        "series": "EG STARs",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "State-of-the-Art Report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 675,
                "preview_image_height": 476,
                "name": "borgo-2013-gly-report.pdf",
                "type": "application/pdf",
                "size": 3898692,
                "path": "Publication:borgo-2013-gly",
                "preview_name": "borgo-2013-gly-report:preview.png",
                "preview_type": "image/png",
                "preview_size": 965988,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-report:thumb{{size}}.png"
            },
            {
                "description": "presentation by R. Borgo",
                "filetitle": "slides Borgo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1161,
                "preview_image_height": 772,
                "name": "borgo-2013-gly-slides Borgo.pdf",
                "type": "application/pdf",
                "size": 2324846,
                "path": "Publication:borgo-2013-gly",
                "preview_name": "borgo-2013-gly-slides Borgo:preview.png",
                "preview_type": "image/png",
                "preview_size": 2694057,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Borgo.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Borgo:thumb{{size}}.png"
            },
            {
                "description": "presentation by D.H.S. Chung",
                "filetitle": "slides Chung",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1161,
                "preview_image_height": 865,
                "name": "borgo-2013-gly-slides Chung.pdf",
                "type": "application/pdf",
                "size": 2236108,
                "path": "Publication:borgo-2013-gly",
                "preview_name": "borgo-2013-gly-slides Chung:preview.png",
                "preview_type": "image/png",
                "preview_size": 3018582,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Chung.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides Chung:thumb{{size}}.png"
            },
            {
                "description": "presentation by J. Kehrer",
                "filetitle": "slides J. Kehrer",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1161,
                "preview_image_height": 866,
                "name": "borgo-2013-gly-slides J. Kehrer.pdf",
                "type": "application/pdf",
                "size": 2141660,
                "path": "Publication:borgo-2013-gly",
                "preview_name": "borgo-2013-gly-slides J. Kehrer:preview.png",
                "preview_type": "image/png",
                "preview_size": 3022083,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides J. Kehrer.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-slides J. Kehrer:thumb{{size}}.png"
            },
            {
                "description": "teaser image",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 533,
                "name": "borgo-2013-gly-teaser.jpg",
                "type": "image/jpeg",
                "size": 127128,
                "path": "Publication:borgo-2013-gly",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/borgo-2013-gly-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/borgo-2013-gly/",
        "__class": "Publication"
    },
    {
        "id": "Reisner_2013_RSB",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction of Shape Boundaries with Multimodal Constrains",
        "date": "2013-05",
        "abstract": "Shape primitives are a valuable input for reconstructing 3D models from point clouds. In this paper we present a method for clipping simple shape primitives at reasonable boundaries. The shape primitives, e.g. planes or cylinders, are 2D manifolds which are automatically detected in unstructured point clouds. Shape boundaries are necessary for generating valid 3D models from multiple shape primitives, because shape primitives possibly have dimensions of infinite extent or they are only partially present in the scene. Hints for reasonable boundaries of shape primitives are indicated by different input sources and constraints. Point clouds and range images provide information where shape primitives coincide with measured surface points. Edge detectors offer cues for surface boundaries in color images. The set of shape primitives is analyzed for constraints such as intersections. Due to an iterative approach, intermediate results provide additional constraints such as coplanar boundary points over multiple shape primitives. We present a framework for extracting and optimizing shape boundaries based on the given input data and multiple constraints. Further, we provide a simple user interface for manually adding constraints in order to improve the results. Our approach generates structurally simple 3D models from shape primitives and point clouds. It is useful for reconstructing scenes containing man-made objects, such as buildings, interior scenes, or engineering objects. The application of multiple constraints enables the reconstruction of proper 3D models despite noisy or incomplete point clouds. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 162,
            "image_height": 200,
            "name": "Reisner_2013_RSB-Image.jpg",
            "type": "image/jpeg",
            "size": 24561,
            "path": "Publication:Reisner_2013_RSB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            228,
            190
        ],
        "journal": "Computer & Graphics",
        "number": "3",
        "pages_from": "137",
        "pages_to": "147",
        "volume": "37",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Shape boundaries",
            "Shape primitives;    ",
            "Reconstruction;"
        ],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0097849313000022",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 162,
                "image_height": 200,
                "name": "Reisner_2013_RSB-Image.jpg",
                "type": "image/jpeg",
                "size": 24561,
                "path": "Publication:Reisner_2013_RSB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reisner_2013_RSB-Paper.pdf",
                "type": "application/pdf",
                "size": 1844060,
                "path": "Publication:Reisner_2013_RSB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/Reisner_2013_RSB-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_2013_RSB/",
        "__class": "Publication"
    },
    {
        "id": "STURN-2013-LGI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Landspotting - Games for Improving Global Land Cover",
        "date": "2013-05",
        "abstract": "Current satellite-derived land cover products, which are very important for answering many crucial questions, show huge disagreements. In this paper, we introduce four serious game prototypes - a Facebook strategy game played on Google Maps, a Facebook tagging game, a tower-defense game, and an aesthetic tile game for the iPad - with the purpose of improving global land cover data. We describe the games in detail and discuss the design decisions we made and challenges we faced while developing the games. We evaluate how much the players have already been able to improve global land cover data and provide evidence that games can be a useful way to increase the quality of this data. Finally, we discuss how the main game is being perceived by the players and what has to be further improved to attract a bigger audience.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Landspotting",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 880,
            "image_height": 743,
            "name": "STURN-2013-LGI-Landspotting.png",
            "type": "image/png",
            "size": 410607,
            "path": "Publication:STURN-2013-LGI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Landspotting.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Landspotting:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            909,
            193,
            313,
            988
        ],
        "booktitle": "Proceedings of Foundations of Digital Games Conference  2013 (FDG 2013)",
        "date_from": "2013-05-14",
        "date_to": "2013-05-17",
        "lecturer": [
            909
        ],
        "location": "Chania, Greece",
        "pages_from": "117",
        "pages_to": "125",
        "research_areas": [],
        "keywords": [
            "Improving Global Land Cover",
            "Serious Games",
            "Landspotting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Landspotting",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 880,
                "image_height": 743,
                "name": "STURN-2013-LGI-Landspotting.png",
                "type": "image/png",
                "size": 410607,
                "path": "Publication:STURN-2013-LGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Landspotting.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Landspotting:thumb{{size}}.png"
            },
            {
                "description": "Landspotting: Games for Improving Global Land Cover",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STURN-2013-LGI-Paper.pdf",
                "type": "application/pdf",
                "size": 4215214,
                "path": "Publication:STURN-2013-LGI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/STURN-2013-LGI-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Landspotting"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/STURN-2013-LGI/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2013-cipmi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Challenges and Ideas in Procedural Modeling of Interiors",
        "date": "2013-05",
        "abstract": "While the creation of convincing cityscapes from the outside is already possible, there is a lack of robust and\nefficient techniques for modeling the interior of buildings. In particular, we focus on challenges for the subdivision of the interior space into rooms and for placement of furniture in those rooms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1120,
            "image_height": 545,
            "name": "ilcik-2013-cipmi-.png",
            "type": "image/png",
            "size": 109730,
            "path": "Publication:ilcik-2013-cipmi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            193
        ],
        "booktitle": "Proceedings of Eurographics Workshop on Urban Data Modelling and Visualisation (UDMV 2013)",
        "date_from": "2013-05-05",
        "date_to": "2013-05-05",
        "editor": "Vincent Tourre and Gonzalo Besuievsky",
        "isbn": "978-3-905674-46-0",
        "issn": "2307-8251",
        "lecturer": [
            1303
        ],
        "location": "Girona, Spain",
        "pages_from": "29",
        "pages_to": "30",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1120,
                "image_height": 545,
                "name": "ilcik-2013-cipmi-.png",
                "type": "image/png",
                "size": 109730,
                "path": "Publication:ilcik-2013-cipmi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2013-cipmi-draft.pdf",
                "type": "application/pdf",
                "size": 353746,
                "path": "Publication:ilcik-2013-cipmi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/ilcik-2013-cipmi-draft:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-cipmi/",
        "__class": "Publication"
    },
    {
        "id": "FUERST-2013-RTWS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Water Simulation Using the Finite Element Method",
        "date": "2013-05",
        "abstract": "Water simulation in computer graphics has been the focus of many research papers in the last\r\nyears. The proposed algorithms can be classified into offline simulation algorithms and realtime\r\nsimulation algorithms, which have a big difference in their capabilities. Offline simulation\r\nalgorithms can mostly simulate water with full detail in 3D because the processing time per\r\nframe is not limited very much. Real-time simulation algorithms, on the other hand, impose\r\na hard limit on the processing time per frame and therefore many applications only rely on\r\napproximating water with 2D surfaces. While this works well for still water, effects such as\r\nbreaking waves or simply pouring water into a tank, cannot be simulated. To accomplish this one\r\nhas to rely on 3D water simulation algorithms, which require a massive amount of processing\r\nresources, such that even when using current graphics processing units (GPUs) an optimized\r\nalgorithm is required.\r\n\r\nThere are two types of 3D water simulation approaches: particle-based Lagrangian and gridor\r\nmesh-based Eulerian approaches, of which the latter will be the main focus of this thesis.\r\nCurrent real-time capable Eulerian water simulation algorithms rely on many approximations\r\nwhich either cause water to leak without reason or decrease the generality of the algorithm. In\r\nthis thesis a novel Eulerian fluid simulation algorithm is proposed, which relies on on a octreebased\r\nmesh that automatically adapts to any given water geometry. By this it is made sure that\r\nthe algorithm is very general and that it provides good performance in almost any given situation.\r\nThe equations evolved in 3D water simulation are discretized with the finite element method in\r\na way, such that the resulting linear equation system can be solved efficiently. Therefore it is\r\npossible to let the algorithm run in real-time on current GPUs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1263,
            "image_height": 669,
            "name": "FUERST-2013-RTWS-.jpg",
            "type": "image/jpeg",
            "size": 66062,
            "path": "Publication:FUERST-2013-RTWS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            784
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1263,
                "image_height": 669,
                "name": "FUERST-2013-RTWS-.jpg",
                "type": "image/jpeg",
                "size": 66062,
                "path": "Publication:FUERST-2013-RTWS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "FUERST-2013-RTWS-poster.pdf",
                "type": "application/pdf",
                "size": 6655990,
                "path": "Publication:FUERST-2013-RTWS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "FUERST-2013-RTWS-thesis.pdf",
                "type": "application/pdf",
                "size": 10582607,
                "path": "Publication:FUERST-2013-RTWS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 450,
                "name": "FUERST-2013-RTWS-video.mp4",
                "type": "video/mp4",
                "size": 11088165,
                "path": "Publication:FUERST-2013-RTWS",
                "preview_name": "FUERST-2013-RTWS-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 6346,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/FUERST-2013-RTWS-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/FUERST-2013-RTWS/",
        "__class": "Publication"
    },
    {
        "id": "ernst-2013-fif",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparison of Image Blurring Techniques on Modern Graphics Processing Hardware",
        "date": "2013-04",
        "abstract": "The increasingly computational power and programmability of modern graphics hardware provides\r\ndevelopers of real-time rendering applications with the resources needed to realize more\r\nand more complex graphical effects. Some of these effects, like Depth-of-Field, require an efficient\r\nimage blurring technique to achieve real-time frame rates of 30 frames per second or\r\nabove. This work presents a comparison of various blurring techniques in terms of their performance\r\non modern graphics hardware. Whereas most of the chosen methods are exclusively\r\nused to blur an image, some of them are capable of applying an arbitrary filter. Furthermore, the\r\nquality of the different methods has been determined using an automatic process which utilizes a\r\ncalibrated visual metric. Another aspect when using modern graphics hardware is the increasing\r\nscope of operations, especially in the domain of image processing, that can be carried out by\r\nusing general-purpose computing on graphics processing units (GPGPU). In the recent years,\r\nutilizing GPGPU has become increasingly popular inside real-time rendering applications for\r\nspecial tasks like physics simulations. Therefore, all chosen algorithms have been implemented\r\nusing shaders (GLSL) and GPGPU (CUDA), to answer the question whether or not the usage\r\nof a general purpose computing language is applicable for image blurring in real-time rendering\r\nand how it compares to using a shading language.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            793
        ],
        "date_end": "2013-03-14",
        "date_start": "2012-03",
        "matrikelnr": "0625316",
        "supervisor": [
            980,
            193
        ],
        "research_areas": [],
        "keywords": [
            "glsl",
            "cuda",
            "image filters",
            "gpu"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ernst-2013-fif-poster.pdf",
                "type": "application/pdf",
                "size": 21537354,
                "path": "Publication:ernst-2013-fif",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ernst-2013-fif/ernst-2013-fif-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ernst-2013-fif/ernst-2013-fif-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ernst-2013-fif-thesis.pdf",
                "type": "application/pdf",
                "size": 19104737,
                "path": "Publication:ernst-2013-fif",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ernst-2013-fif/ernst-2013-fif-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/ernst-2013-fif/ernst-2013-fif-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ernst-2013-fif/",
        "__class": "Publication"
    },
    {
        "id": "Voglsam_2013_RRT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Ray Tracing on the GPU - Ray Tracing using CUDA and kD-Trees",
        "date": "2013-04",
        "abstract": "In computer graphics, ray tracing is a well-known image generation algorithm which exists since the late 1970s. Ray tracing is typically known as an offline algorithm, which means that\r\nthe image generation process takes several seconds to minutes or even hours or days.\r\n\r\nIn this thesis I present a ray tracer which runs in real-time. Real-time in terms of computer graphics means that 60 or more images per second (frames per second, FPS) are created. To\r\nachieve such frame rates, the ray tracer runs completely on the graphics card (GPU). This is possible by making use of Nvidia’s CUDA\r\n-API. With CUDA, it is possible to program the processor of a graphics card similar to a processor of a CPU. This way, the computational power\r\nof a graphics card can be fully utilized. A crucial part of any ray tracer is the acceleration data\r\nstructure (ADS) used. The ADS is needed to efficiently search in geometric space. In this thesis, two variants of so called kD-Trees have been implemented. A kD-Tree is a binary tree, which divides at each node a given geometric space into two halves using an axis aligned splitting\r\nplane.\r\nFurthermore, a CUDA library for the rendering engine Aardvark, which is the in-house rendering engine at the VRVis Research Center, was developed to access CUDA functionality from within Aardvark in an easy and convenient way.\r\n\r\nThe ray tracer is part of a current software project called “HILITE” at the VRVis Research Center.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Voglsam_2013_RRT-Image.jpg",
            "type": "image/jpeg",
            "size": 163642,
            "path": "Publication:Voglsam_2013_RRT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1039
        ],
        "supervisor": [
            193,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Voglsam_2013_RRT-Image.jpg",
                "type": "image/jpeg",
                "size": 163642,
                "path": "Publication:Voglsam_2013_RRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Voglsam_2013_RRT-Poster.pdf",
                "type": "application/pdf",
                "size": 10391139,
                "path": "Publication:Voglsam_2013_RRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Voglsam_2013_RRT-Thesis.pdf",
                "type": "application/pdf",
                "size": 28517908,
                "path": "Publication:Voglsam_2013_RRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/Voglsam_2013_RRT-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Voglsam_2013_RRT/",
        "__class": "Publication"
    },
    {
        "id": "sundstedt-2013-vag",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Attention and Gaze Behaviour in Games: An Object-Based Approach",
        "date": "2013-04",
        "abstract": "This chapter presents state-of-the-art methods that tap the potential of psychophysics for the purpose of understanding game players' behavior. Studying gaze behavior in gaming environments has recently gained momentum as it affords a better understanding of gamers' visual attention. However, while knowing where users are attending in a computer game would be useful at a basic level, it does not provide insight into what users are interested in, or why. An answer to these questions can be tremendously useful to game designers, enabling them to improve gameplay, selectively increase visual fidelity, and optimize the distribution of computing resources. Furthermore, this could be useful in verifying game mechanics, improving game AI and smart positioning of advertisements within games, all being applications widely desirable across the games industry. Techniques are outlined to collect gaze data, and map fixation points back to semantic objects in a gaming environment, enabling a deeper understanding of how players interact with games. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 958,
            "image_height": 338,
            "name": "sundstedt-2013-vag-image.png",
            "type": "image/png",
            "size": 82333,
            "path": "Publication:sundstedt-2013-vag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            730,
            660,
            731,
            732,
            193
        ],
        "booktitle": "Game Analytics: Maximizing the Value of Player Data ",
        "editor": "M. Seif El-Nasr, A. Drachen, A. Canossa, K. Isbister,",
        "isbn": "9781447147688",
        "pages_from": "543",
        "pages_to": "583",
        "publisher": "Springer",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "Eye Tracking",
            "Visual Attention",
            "Computer Games"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 958,
                "image_height": 338,
                "name": "sundstedt-2013-vag-image.png",
                "type": "image/png",
                "size": 82333,
                "path": "Publication:sundstedt-2013-vag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sundstedt-2013-vag-Paper.pdf",
                "type": "application/pdf",
                "size": 1343680,
                "path": "Publication:sundstedt-2013-vag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/sundstedt-2013-vag-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/sundstedt-2013-vag/",
        "__class": "Publication"
    },
    {
        "id": "schedl-2013-gP4",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulating partial occlusion in post-processing depth-of-field methods",
        "date": "2013-03",
        "abstract": "This chapter describes a method for simulating Depth of Field (DoF). In particular, we investigate the so-called partial occlusion effect: objects near the camera blurred due to DoF are actually semitransparent and therefore result in partially visible background objects. This effect is strongly apparent in miniature- and macro photography and in film making. Games and interactive applications are nowadays becoming more cinematic, including strong DoF effects, and therefore it is important to be able to convincingly approximate the partial-occlusion effect. We show how to do so in this chapter; with the proposed optimizations even in real time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "rendering produced with our method",
            "filetitle": "image_homunculus",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "preview_image_width": 1024,
            "preview_image_height": 1024,
            "name": "schedl-2013-gP4-image_homunculus.png",
            "type": "image/png",
            "size": null,
            "path": "Publication:schedl-2013-gP4",
            "preview_name": "schedl-2013-gP4-image_homunculus:preview.png",
            "preview_type": "image/png",
            "preview_size": 932697,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-image_homunculus.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-image_homunculus:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            980,
            193
        ],
        "booktitle": "GPU Pro 4: Advanced Rendering Techniques",
        "editor": "Wolfgang Engel",
        "isbn": "9781466567436",
        "note": "to appear",
        "pages_from": "187",
        "pages_to": "200",
        "publisher": "A K Peters",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "depth of field",
            "realtime",
            "layers",
            "blurring"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": "rendering produced with our method",
                "filetitle": "image_homunculus",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 1024,
                "name": "schedl-2013-gP4-image_homunculus.png",
                "type": "image/png",
                "size": null,
                "path": "Publication:schedl-2013-gP4",
                "preview_name": "schedl-2013-gP4-image_homunculus:preview.png",
                "preview_type": "image/png",
                "preview_size": 932697,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-image_homunculus.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-image_homunculus:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schedl-2013-gP4-Paper.pdf",
                "type": "application/pdf",
                "size": 1242118,
                "path": "Publication:schedl-2013-gP4",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/schedl-2013-gP4-Paper:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schedl-2013-gP4/",
        "__class": "Publication"
    },
    {
        "id": "SCHWAERZLER-2013-FPCSS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Percentage Closer Soft Shadows using Temporal Coherence",
        "date": "2013-03",
        "abstract": "We propose a novel way to efficiently calculate soft shadows in real-time applications by overcoming the high computational effort involved with the complex corresponding visibility estimation each frame: We exploit the temporal coherence prevalent in typical scene movement, making the estimation of a new shadow value only necessary whenever regions are newly disoccluded due to camera adjustment, or the shadow situation changes due to object movement. By extending the typical shadow mapping algorithm by an additional light-weight buffer for the tracking of dynamic scene objects, we can robustly and efficiently detect all screen space fragments that need to be updated, including not only the moving objects themselves, but also the soft shadows they cast. \n\nBy applying this strategy to the popular Percentage Closer Soft Shadow algorithm (PCSS), we double rendering performance in scenes with both static and dynamic objects - as prevalent in various 3D game levels - while maintaining the visual quality of the original approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1010,
            "image_height": 917,
            "name": "SCHWAERZLER-2013-FPCSS-image.png",
            "type": "image/png",
            "size": 839905,
            "path": "Publication:SCHWAERZLER-2013-FPCSS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678,
            659,
            452,
            193
        ],
        "address": "New York, NY, USA",
        "booktitle": "Proceedings of ACM Symposium on Interactive 3D Graphics and Games 2013",
        "date_from": "2013-03-21",
        "date_to": "2013-03-23",
        "isbn": "978-1-4503-1956-0",
        "lecturer": [
            678
        ],
        "location": "Orlando, Florida",
        "pages_from": "79",
        "pages_to": "86",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time",
            "temporal coherence",
            "soft shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHWAERZLER-2013-FPCSS-draft.pdf",
                "type": "application/pdf",
                "size": 32246841,
                "path": "Publication:SCHWAERZLER-2013-FPCSS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1010,
                "image_height": 917,
                "name": "SCHWAERZLER-2013-FPCSS-image.png",
                "type": "image/png",
                "size": 839905,
                "path": "Publication:SCHWAERZLER-2013-FPCSS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 848,
                "preview_image_height": 480,
                "name": "SCHWAERZLER-2013-FPCSS-video.mp4",
                "type": "video/mp4",
                "size": 57833765,
                "path": "Publication:SCHWAERZLER-2013-FPCSS",
                "preview_name": "SCHWAERZLER-2013-FPCSS-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24461,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/SCHWAERZLER-2013-FPCSS-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/SCHWAERZLER-2013-FPCSS/",
        "__class": "Publication"
    },
    {
        "id": "pangerl_2013_GPD",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Games with a Purpose: Design and implementation of serious games to determine the global land cover",
        "date": "2013-03",
        "abstract": "Remote sensing of land cover has, not at least because of the rapidly growing world population, gained scientific and economic importance. Several international projects have aimed to determine and map out the global land cover. Unfortunately the results of remote sensing projects such as GLC-2000, MODIS or GlobCover are often ambiguous or have significant differences.\r\n\r\nThe project Geo-Wiki.org examines the results of that remote sensing projects and tries to validate them with the help of volunteers. This task requires a large amount of participants. Among\r\nother, competitions animate volunteers to contribute to the crowdsourcing project. To motivate volunteers to participate in the remote sensing of land cover is one of the key aspects within the Geo-Wiki.org project. One approach to reach new users for the project is to develop computer\r\ngames that implement the classification of land cover areas as part of the game.\r\nThe project Landspotting is a platform that aims to develop Serious Games for land cover classification. This thesis focuses on the development of a computer game for mobile devices that\r\nimplements the classification of land cover as an integral part. Previous projects such as the game Landspotting for the platform Facebook are presented in the thesis. This games inspired\r\nthe design process. Mobile devices with built-in, touch-sensitive displays offer the possibility to classify the land cover by painting appropriate sections of satellite images on the screen. The results of this categorizations are compared with data provided by the Geo-Wiki.org project. The result of this comparison is the basis for the achieved progress in the game.\r\n\r\nThe as a part of this thesis developed computer game Landspotting was published on the 4th of January 2013. The game was downloaded and installed from a lot of players. The huge\r\namount of land cover data obtained by players illustrates the great potential in the combination of crowdsourcing systems and serious games. The comparison of the data obtained permits both, conclusions about the quality of the results of the developed computer game, as well as on the quality of the results of the Geo-Wiki.org project.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 794,
            "image_height": 772,
            "name": "pangerl_2013_GPD-Image.bmp",
            "type": "image/x-ms-bmp",
            "size": 1840502,
            "path": "Publication:pangerl_2013_GPD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1018
        ],
        "date_start": "2012-05-07",
        "matrikelnr": "e0526443",
        "supervisor": [
            909,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Landspotting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 794,
                "image_height": 772,
                "name": "pangerl_2013_GPD-Image.bmp",
                "type": "image/x-ms-bmp",
                "size": 1840502,
                "path": "Publication:pangerl_2013_GPD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pangerl_2013_GPD-Poster.pdf",
                "type": "application/pdf",
                "size": 5758831,
                "path": "Publication:pangerl_2013_GPD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pangerl_2013_GPD-Thesis.pdf",
                "type": "application/pdf",
                "size": 19374012,
                "path": "Publication:pangerl_2013_GPD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/pangerl_2013_GPD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Landspotting"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/pangerl_2013_GPD/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_CAI",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models",
        "date": "2013-03",
        "abstract": "Photorealistic 3D models are used for visualization, interpretation and spatial measurement in many disciplines, such as cultural heritage, archaeology and geoscience. Using modern image- and laser-based 3D modelling techniques, it is normal to acquire more data than is finally used for 3D model texturing, as images may be acquired from multiple positions, with large overlap, or with different cameras and lenses. Such redundant image sets require sorting to restrict the number of images, increasing the processing efficiency and realism of models. However, selection of image subsets optimized for texturing purposes is an example of complex spatial analysis. Manual selection may be challenging and time-consuming, especially for models of rugose topography, where the user must account for occlusions and ensure coverage of all relevant model triangles. To address this, this paper presents a framework for computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models. The framework was created to offer algorithms for candidate image subset selection, whilst supporting refinement of subsets in an intuitive and visual manner. Automatic image sorting was implemented using algorithms originating in computer science and information theory, and variants of these were compared using multiple 3D models and covering image sets, collected for geological applications. The image subsets provided by the automatic procedures were compared to manually selected sets and their suitability for 3D model texturing was assessed. Results indicate that the automatic sorting algorithms are a promising alternative to manual methods. An algorithm based on a greedy solution to the weighted set-cover problem provided image sets closest to the quality and size of the manually selected sets. The improved automation and more reliable quality indicators make the photorealistic model creation workflow more accessible for application experts, increasing the user’s confidence in the final textured model completeness.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1434,
            "image_height": 1027,
            "name": "Viola_Ivan_2013_CAI-.png",
            "type": "image/png",
            "size": 1112522,
            "path": "Publication:Viola_Ivan_2013_CAI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1152,
            1153,
            608,
            207,
            1156,
            171,
            1157
        ],
        "journal": "Computers & Geosciences",
        "pages_from": "281",
        "pages_to": "291",
        "volume": "52",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1016/j.cageo.2012.11.004",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1434,
                "image_height": 1027,
                "name": "Viola_Ivan_2013_CAI-.png",
                "type": "image/png",
                "size": 1112522,
                "path": "Publication:Viola_Ivan_2013_CAI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/Viola_Ivan_2013_CAI-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_CAI/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2013-STAR",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Visual Analysis of Multi-faceted Scientific Data: A Survey",
        "date": "2013-03",
        "abstract": "Visualization and visual analysis play important roles in exploring, analyzing and presenting scientific data. In many disciplines, data and model scenarios are becoming multi-faceted: data are often spatio-temporal and  multi-variate; they stem from different data sources (multi-modal data),   from multiple simulation runs (multi-run/ensemble data), or from multi-physics simulations of interacting phenomena (multi-model data resulting from coupled simulation models). Also, data can be of different dimensionality or structured on various types of grids that need to be related or fused in the visualization. This heterogeneity of data characteristics presents new opportunities as well as technical challenges for visualization research. Visualization and interaction techniques are thus often combined with computational analysis. In this survey, we study existing methods for visualization and interactive visual analysis of multi-faceted scientific data. Based on a thorough literature review, a categorization of approaches is proposed. We cover a wide range of fields and discuss to which degree the different challenges are matched with existing solutions for visualization and visual analysis. This leads to conclusions with respect to promising research directions, for instance, to pursue new solutions for multi-run and multi-model data as well as techniques that support a multitude of facets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Overview of topics discussed in the survey",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 218,
            "name": "Kehrer-2013-STAR-image.png",
            "type": "image/png",
            "size": 13343,
            "path": "Publication:Kehrer-2013-STAR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            176
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "note": "Spotlight paper of the March issue of TVCG",
        "number": "3",
        "pages_from": "495",
        "pages_to": "513",
        "volume": "19",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2012.110",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Categorization",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 553,
                "name": "Kehrer-2013-STAR-Categorization.png",
                "type": "image/png",
                "size": 87430,
                "path": "Publication:Kehrer-2013-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Categorization.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Categorization:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2013-STAR-Draft.pdf",
                "type": "application/pdf",
                "size": 4037427,
                "path": "Publication:Kehrer-2013-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Draft:thumb{{size}}.png"
            },
            {
                "description": "Overview of topics discussed in the survey",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 218,
                "name": "Kehrer-2013-STAR-image.png",
                "type": "image/png",
                "size": 13343,
                "path": "Publication:Kehrer-2013-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Presentation-extended",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2013-STAR-Presentation-extended.pdf",
                "type": "application/pdf",
                "size": 4087204,
                "path": "Publication:Kehrer-2013-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Presentation-extended.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Presentation-extended:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2013-STAR-Slides.pdf",
                "type": "application/pdf",
                "size": 2544317,
                "path": "Publication:Kehrer-2013-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/Kehrer-2013-STAR-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Kehrer-2013-STAR/",
        "__class": "Publication"
    },
    {
        "id": "knecht_martin_2013_ReflRefrObjsMR",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reflective and Refractive Objects for Mixed Reality",
        "date": "2013-03",
        "abstract": "In this paper, we present a novel rendering method which integrates reflective or refractive objects into a differential instant radiosity (DIR) framework usable for mixed-reality (MR) applications. This kind of objects are very special from the light interaction point of view, as they reflect and refract incident rays. Therefore they may cause high-frequency lighting effects known as caustics. Using instant-radiosity (IR) methods to approximate these high-frequency lighting effects would require a large amount of virtual point lights (VPLs) and is therefore not desirable due to real-time constraints. Instead, our approach combines differential instant radiosity with three other methods. One method handles more accurate reflections compared to simple cubemaps by using impostors. Another method is able to calculate two refractions in real-time, and the third method uses small quads to create caustic effects. Our proposed method replaces parts in light paths that belong to reflective or refractive objects using these three methods and thus tightly integrates into DIR. In contrast to previous methods which introduce reflective or refractive objects into MR scenarios, our method produces caustics that also emit additional indirect light. The method runs at real-time frame rates, and the results show that reflective and refractive objects with caustics improve the overall impression for MR scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "knecht_martin_2013_ReflRefrObjsMR-image.jpg",
            "type": "image/jpeg",
            "size": 454801,
            "path": "Publication:knecht_martin_2013_ReflRefrObjsMR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            237,
            1011,
            193
        ],
        "date_from": "2013-03-18",
        "date_to": "2013-03-20",
        "event": "IEEE Virtual Reality 2013",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VR 2013)",
        "lecturer": [
            736
        ],
        "location": "Orlando, Florida",
        "number": "4",
        "pages_from": "576",
        "pages_to": "582",
        "volume": "19",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Mixed Reality",
            "Caustics",
            "Reflections",
            "Refractions"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2013.39",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "knecht_martin_2013_ReflRefrObjsMR-image.jpg",
                "type": "image/jpeg",
                "size": 454801,
                "path": "Publication:knecht_martin_2013_ReflRefrObjsMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-image:thumb{{size}}.png"
            },
            {
                "description": "Slides",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin_2013_ReflRefrObjsMR-Slides.pptx",
                "type": "application/zip",
                "size": 16711972,
                "path": "Publication:knecht_martin_2013_ReflRefrObjsMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/knecht_martin_2013_ReflRefrObjsMR-Slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/knecht_martin_2013_ReflRefrObjsMR/",
        "__class": "Publication"
    },
    {
        "id": "LUKSCH-2013-FLM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Light-Map Computation with Virtual Polygon Lights",
        "date": "2013-03",
        "abstract": "We propose a new method for the fast computation of light maps using a many-light global-illumination solution. A complete scene can be light mapped on the order of seconds to minutes, allowing fast and consistent previews for editing or even generation at loading time. \n\nIn our method, virtual point lights are clustered into a set of virtual polygon lights, which represent a compact description of the illumination in the scene. The actual light-map generation is performed directly on the GPU. Our approach degrades gracefully, avoiding objectionable artifacts even for very short computation times. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1608,
            "image_height": 960,
            "name": "LUKSCH-2013-FLM-image.png",
            "type": "image/png",
            "size": 704851,
            "path": "Publication:LUKSCH-2013-FLM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659,
            216,
            618,
            678,
            193
        ],
        "booktitle": "Proceedings of ACM Symposium on Interactive 3D Graphics and Games 2013",
        "date_from": "2013-03-21",
        "date_to": "2013-03-23",
        "isbn": "978-1-4503-1956-0",
        "lecturer": [
            659
        ],
        "location": "Orlando, Florida",
        "pages_from": "87",
        "pages_to": "94",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "instant radiosity",
            "global illumination",
            "light-maps"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LUKSCH-2013-FLM-draft.pdf",
                "type": "application/pdf",
                "size": 18958687,
                "path": "Publication:LUKSCH-2013-FLM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1608,
                "image_height": 960,
                "name": "LUKSCH-2013-FLM-image.png",
                "type": "image/png",
                "size": 704851,
                "path": "Publication:LUKSCH-2013-FLM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "LUKSCH-2013-FLM-video.mp4",
                "type": "video/mp4",
                "size": 81422342,
                "path": "Publication:LUKSCH-2013-FLM",
                "preview_name": "LUKSCH-2013-FLM-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30219,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/LUKSCH-2013-FLM-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/LUKSCH-2013-FLM/",
        "__class": "Publication"
    },
    {
        "id": "brenner_simon-2013-ba",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Neighbor detection in point clouds using the Boundary Complex",
        "date": "2013-02-26",
        "abstract": "For many applications (e.g. robotic vision) it is important to separate the Point Clouds produced\nby a 3D scanner into logically associated clusters in order to recognize objects or surfaces. A\ncrucial part of most of the existing segmentation approaches is the definition of neighborhood\nbetween points. This thesis describes and evaluates the use of the ‘Boundary Complex’, a spanning connected set of triangles on the point cloud, for neighbor detection in the context of cloud\nsegmentation. The results will be compared to existing neighbor picking approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 310,
            "image_height": 205,
            "name": "brenner_simon-2013-ba-image.png",
            "type": "image/png",
            "size": 85578,
            "path": "Publication:brenner_simon-2013-ba",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1037
        ],
        "date_end": "2013-02-26",
        "date_start": "2012-10-01",
        "matrikelnr": "0927175",
        "supervisor": [
            193,
            948
        ],
        "research_areas": [],
        "keywords": [
            "segmentation",
            "neighbor detection",
            "clustering",
            "boundary complex",
            "point cloud"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 310,
                "image_height": 205,
                "name": "brenner_simon-2013-ba-image.png",
                "type": "image/png",
                "size": 85578,
                "path": "Publication:brenner_simon-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brenner_simon-2013-ba-paper.pdf",
                "type": "application/pdf",
                "size": 1045707,
                "path": "Publication:brenner_simon-2013-ba",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/brenner_simon-2013-ba-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/brenner_simon-2013-ba/",
        "__class": "Publication"
    },
    {
        "id": "jahrmann_klemens_KFR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kinect Fusion - Reconstruction",
        "date": "2013-02",
        "abstract": "The procedure of collecting 3D data via an input device and processing it to a virtual 3D model is called 3D reconstruction. It is a widely used technique in visual computing, since modern applications like games or visualizations tend to be more and more photo-realistic leading to high costs in content creation. By using 3D reconstruction high quality geometry can be generated out of real objects. However to obtain good reconstructions special hardware is needed which is very expensive.\r\nSince Microsoft released the Kinect camera, which has a depth sensor in addition to the RGB-sensor, a quite cheap hardware is available that is able to extract 3D data of its surroundings. KinectFusion also developed by Microsoft is a technique that uses the Kinect camera for 3D reconstruction in real-time. In order to achieve real-time speed the algorithm is executed almost exclusively on the graphics card.\r\nEach frame the algorithm first gathers the information from the Kinect and processes it. After that it measures the camera’s position in space and fills a 3D volume with surface data. Finally a raycasting algorithm is used to extract isosurfaces out of the volume. During the work on the thesis we implemented the KinectFusion algorithm inside the RESHADE framework. The results and the implementation itself are presented as part of the thesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1277,
            "image_height": 478,
            "name": "jahrmann_klemens_KFR-image.jpg",
            "type": "image/jpeg",
            "size": 585013,
            "path": "Publication:jahrmann_klemens_KFR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1009
        ],
        "date_start": "2011-10-01",
        "matrikelnr": "0826080",
        "supervisor": [
            193,
            736
        ],
        "research_areas": [],
        "keywords": [
            "Reconstruction",
            "Kinect Fusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1277,
                "image_height": 478,
                "name": "jahrmann_klemens_KFR-image.jpg",
                "type": "image/jpeg",
                "size": 585013,
                "path": "Publication:jahrmann_klemens_KFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-image:thumb{{size}}.png"
            },
            {
                "description": "Bachelor Thesis",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jahrmann_klemens_KFR-Thesis.pdf",
                "type": "application/pdf",
                "size": 4963634,
                "path": "Publication:jahrmann_klemens_KFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/jahrmann_klemens_KFR-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/jahrmann_klemens_KFR/",
        "__class": "Publication"
    },
    {
        "id": "Reisner_Irene_2013_R3D",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction of 3D Models from Images and Point Clouds with Shape Primitives",
        "date": "2013-02",
        "abstract": "3D models are widely used in different applications, including computer games, planning software, applications for training and simulation, and virtual city maps. For many of these applications it is necessary or at least advantageous, if the virtual 3D models are based on real world scenes and objects. Manual modeling is reserved for experts as it requires extensive skills. For this reason, it is necessary to provide automatic or semi-automatic, easy-to-use techniques for reconstructing 3D objects.\n\nIn this thesis we present methods for reconstructing 3D models of man-made scenes. These scenes can often be approximated with a set of geometric primitives, like planes or cylinders.\nUsing geometric primitives leads to light-weight, low-poly 3D models, which are beneficial for efficient storage and post-processing.\n\nThe applicability of reconstruction algorithms highly depends on the existing input data, the characteristics of the captured objects, and the desired properties of the reconstructed 3D model. For this reason, we present three algorithms that use different input data. It is possible to reconstruct 3D models from just a few photographs or to use a dense point cloud as input.  Furthermore, we present techniques to combine information from both, images and point clouds.\n\nThe image-based reconstruction method is especially designed for environments with homogenous and reflective surfaces where it is difficult to acquire reliable point sets. Therefore we\nuse an interactive application which requires user input. Shape primitives are fit to user-defined segmentations in two or more images.\n\nOur point-based algorithms, on the other hand, provide fully automatic reconstructions. Nevertheless, the automatic computations can be enhanced by manual user inputs for generating\nimproved results. The first point-based algorithm is specialized on reconstructing 3D models of\nbuildings and uses unstructured point clouds as input. The point cloud is segmented into planar regions and converted into 3D geometry.\n\nThe second point-based algorithm additionally supports the reconstruction of interior scenes.\nWhile unstructured point clouds are supported as well, this algorithm specifically exploits the redundancy and visibility information provided by a set of range images. The data is automatically segmented into geometric primitives. Then the shape boundaries are extracted either automatically or interactively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Reisner_Irene_2013_R3D-.pdf",
            "type": "application/pdf",
            "size": 154072807,
            "path": "Publication:Reisner_Irene_2013_R3D",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847
        ],
        "date_end": "2013-01",
        "date_start": "2010-01",
        "reviewer_1": [
            190
        ],
        "reviewer_2": [
            1325
        ],
        "rigorosum": "2013-03-12",
        "supervisor": [
            190
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reisner_Irene_2013_R3D-.pdf",
                "type": "application/pdf",
                "size": 154072807,
                "path": "Publication:Reisner_Irene_2013_R3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/Reisner_Irene_2013_R3D-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Reisner_Irene_2013_R3D/",
        "__class": "Publication"
    },
    {
        "id": "Spechtenhauser_Florian_2013_SIU",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shape Interpolation Using Diffusion Isosurfaces",
        "date": "2013-02",
        "abstract": "I present a diffusion based shape interpolation method which is applicable to 2D and 3D surfaces.\r\nAs input, 2D shapes are represented as diffusion curves, the 3D shapes are simply 3D meshes.  The algorithm generates an exact Voronoi diagram of two surfaces along with a distance map,\r\nboth are stored as textures for further manipulation and lookup. The Voronoi diagram is used as starting point for the iterative color diffusion. After the diffusion step, an isovalue can be applied to the resulting texture. By varying the isovalue, different intermediate surfaces between the two\r\ninput surfaces arise. In 2D, Diffusion Curves [3] are used as input, whereas in 3D, textured surface meshes as used. This shape interpolation method is applicable to every kind of shape\r\nthat can be represented by diffusion curves or 3D surface meshes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1094
        ],
        "supervisor": [
            193,
            356
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Spechtenhauser_Florian_2013_SIU-Thesis.pdf",
                "type": "application/pdf",
                "size": 11418279,
                "path": "Publication:Spechtenhauser_Florian_2013_SIU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Spechtenhauser_Florian_2013_SIU/Spechtenhauser_Florian_2013_SIU-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Spechtenhauser_Florian_2013_SIU/Spechtenhauser_Florian_2013_SIU-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Spechtenhauser_Florian_2013_SIU/",
        "__class": "Publication"
    },
    {
        "id": "fink-2013-cag",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Teaching a Modern Graphics Pipeline Using a Shader-based Software Renderer",
        "date": "2013-02",
        "abstract": "This paper presents the syllabus for an introductory computer graphics course that emphasizes the use of programmable shaders while teaching raster-level algorithms at the same time. We describe a Java-based framework that is used for programming assignments in this course. This framework implements a shader-enabled software renderer and an interactive 3D editor. Teaching shader programming in concert with the low-level graphics pipeline makes it easier for our students to learn modern OpenGL with shaders in our follow-up intermediate course. We also show how to create attractive course material by using COLLADA, an open standard for 3D content exchange, and our approach to organizing the practical course.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The editor of the course framework.",
            "filetitle": "editor",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 886,
            "image_height": 728,
            "name": "fink-2013-cag-editor.png",
            "type": "image/png",
            "size": 261474,
            "path": "Publication:fink-2013-cag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-editor.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-editor:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1001,
            743,
            193
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "1--2",
        "pages_from": "12",
        "pages_to": "20",
        "volume": "37",
        "research_areas": [],
        "keywords": [
            "teaching",
            "programmable shading",
            "CG education",
            "course organization",
            "COLLADA"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1016/j.cag.2012.10.005",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "The editor of the course framework.",
                "filetitle": "editor",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 886,
                "image_height": 728,
                "name": "fink-2013-cag-editor.png",
                "type": "image/png",
                "size": 261474,
                "path": "Publication:fink-2013-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-editor.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-editor:thumb{{size}}.png"
            },
            {
                "description": "Preprint of the journal article.",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fink-2013-cag-preprint.pdf",
                "type": "application/pdf",
                "size": 1053265,
                "path": "Publication:fink-2013-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-preprint:thumb{{size}}.png"
            },
            {
                "description": "Result from the annual student competition.",
                "filetitle": "student_competition",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1853,
                "image_height": 612,
                "name": "fink-2013-cag-student_competition.png",
                "type": "image/png",
                "size": 611574,
                "path": "Publication:fink-2013-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-student_competition.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/fink-2013-cag-student_competition:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/fink-2013-cag/",
        "__class": "Publication"
    },
    {
        "id": "Prast_Stefanie_2013-CLG",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Caustics, Light Shafts, God Rays",
        "date": "2013-02",
        "abstract": "Lighting effects, such as caustics and light shafts are an important\r\ncomponent of the rendering of global illumination images. The correct\r\ndepiction of the interaction of light with different surfaces is\r\ncrucial to the realism of any rendered scene. Dealing with the complexity\r\nof global illumination has long been among the biggest challenges\r\nin computer graphics, a problem that is even more prominent\r\nwhen it comes to rendering interactive environments. Particularly\r\nthe simulation of caustics is a difficult task since they can only\r\nbe rendered satisfactorily through techniques which trace the light\r\nfrom the illuminants.\r\nSeveral different techniques to speed up the process of rendering\r\nrealistic global illumination effects have been developed. Among\r\nthose are path tracing, ray tracing and photon mapping. Most stateof-\r\nthe-art rendering techniques rely heavily on the computation\r\npower of the GPU. We wish to present a survey of current rendering\r\ntechniques for approximating physically exact representations\r\nof caustics, light shafts and god rays.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 692,
            "image_height": 427,
            "name": "Prast_Stefanie_2013-CLG-image.png",
            "type": "image/png",
            "size": 269168,
            "path": "Publication:Prast_Stefanie_2013-CLG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1074,
            1075
        ],
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [
            "light effects",
            "refraction",
            "god rays",
            "caustics",
            "real-time",
            "rendering",
            "reflection",
            "GPU"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 692,
                "image_height": 427,
                "name": "Prast_Stefanie_2013-CLG-image.png",
                "type": "image/png",
                "size": 269168,
                "path": "Publication:Prast_Stefanie_2013-CLG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Prast_Stefanie_2013-CLG-Thesis.pdf",
                "type": "application/pdf",
                "size": 4220060,
                "path": "Publication:Prast_Stefanie_2013-CLG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/Prast_Stefanie_2013-CLG-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Prast_Stefanie_2013-CLG/",
        "__class": "Publication"
    },
    {
        "id": "Schulze_Florian_2013_CMI",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Methods enabling Interactivity in Analysis and Exploration of Volumetric Images",
        "date": "2013-01",
        "abstract": "Volumetric imaging is widely used in medicine and life sciences allowing to gain insight into otherwise opaque objects. Volumetric images do not unveil their content in a direct way due to their spatial structure. Therefore a variety of computational methods are used for visualization\nand processing which allow to explore and analyze the data.\n\nAnalysis and exploration of the data is usually performed in an interactive way either manually or with support of semi-automatic algorithms. It is crucial for an efficient completion of the task that the system performs interactively and responsively. Thus, software supporting the user in an effective way relies on three basic requirements. First, the system must deliver feedback in a short period of time. Second, results of any computation must be presented or visualized in a way that the user can efficiently recognize the important information. Third, the user must be\nable to efficiently control, initialize or adjust the algorithm through a suitable user interface. In this thesis four approaches are presented which aim to solve different aspects of the problem of enabling interactivity in analysis and exploration of volumetric image data.\n\nThe first presented project studies the design of an application which has strict limitations concerning the user interface due to the application environment which requires almost a hands free interaction. The problem is approached by the development of efficient and robust visualization\nwhich makes adjustments needless, and by the development of sophisticated interaction patterns which reduce the needed interface to the minimum.\n\nThe second project focuses on methods which optimize a computationally intensive feature detection task that can be used in an interactive scenario which requires the algorithm to produce\nresults in just a few seconds. To achieve this goal the probabilistic boosting tree classification algorithm is extended and optimized for runtime and memory efficiency.\n\nThe third and the fourth project focus on the interactive exploration of large image and object collections. Two approaches are presented for this problem area. For the retrieval of neuronal objects by similarity, measures for different neuronal substructures have been developed which\nare able to perform efficiently on large amounts of data. For retrieval of images and objects by local means such as neighborhood, overlap, local image expression and local image similarity a\nsophisticated updatable high performance index structure has been developed. The index allows to store local properties of volumetric data in a space efficient way and to retrieve this data with low latency.\n\nThe presented projects demonstrate that the challenge of achieving interactivity often is the development of methods which allow to balance processing speed with result quality. Furthermore it is shown that time performance is not the only property which needs to be respected,result presentation as well as interaction patterns deserve similar attention and contribute greatly to an interactive user experience.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1279,
            "image_height": 1023,
            "name": "Schulze_Florian_2013_CMI-.jpg",
            "type": "image/jpeg",
            "size": 167903,
            "path": "Publication:Schulze_Florian_2013_CMI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1142
        ],
        "date_end": "2013-01",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            1328
        ],
        "rigorosum": "2013-02-01",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1279,
                "image_height": 1023,
                "name": "Schulze_Florian_2013_CMI-.jpg",
                "type": "image/jpeg",
                "size": 167903,
                "path": "Publication:Schulze_Florian_2013_CMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schulze_Florian_2013_CMI-Thesis.pdf",
                "type": "application/pdf",
                "size": 18942030,
                "path": "Publication:Schulze_Florian_2013_CMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/Schulze_Florian_2013_CMI-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Schulze_Florian_2013_CMI/",
        "__class": "Publication"
    },
    {
        "id": "Sorger_2013_nMI",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "neuroMap - Interactive Graph-Visualization of the Fruit Fly’s Neural Circuit",
        "date": "2013-01",
        "abstract": "Neuroscientists study the function of neural circuits in the brain of the common fruit\nfly Drosophila Melanogaster to discover how complex behavior is generated. Through\na combination of molecular-genetic techniques and confocal microscopy the scientists\nare able to highlight single neurons and produce three-dimensional images of the fly’s\nbrain. Neurons are segmented, annotated, and compiled into a digital atlas. Brain atlases\noffer tools for exploring and analyzing their underlying data. To establish models\nof neural information processing, knowledge about possible connections between individual\nneurons is necessary. Connections can occur when arborizations (the terminal\nbranchings of nerve fibers) of two neurons are overlapping. However, analyzing overlapping\nobjects using traditional volumetric visualization is difficult since the examined\nobjects occlude each other. A more abstract form of representation is therefore required.\nThe work in this thesis was motivated by a manually constructed two-dimensional\ncircuit diagram of potential neuronal connections that represents a novel way of visualizing\nneural connectivity data. Through abstracting the complex volumetric data, the\ndiagram offers an intuitive and clear overview of potential connectivity.\nIn collaboration with a group of neuroscientists neuroMap was designed and implemented\nin an attempt to deliver the visual features and encoded information of this\ncircuit diagram in an automatically generated interactive graph, with the goal of facilitating\nhypothesis formation and exploration of neural connectivity.\nIn this thesis the visual and interaction design decisions that went into neuroMap are\npresented, as well as the result of evaluative discussions that shows that the integration\nof this novel type of visualization into the existing datamining infrastructure of our\nclients is indeed beneficial to their research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 947,
            "image_height": 703,
            "name": "Sorger_2013_nMI-Image.jpg",
            "type": "image/jpeg",
            "size": 107141,
            "path": "Publication:Sorger_2013_nMI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1072
        ],
        "matrikelnr": "0225843",
        "supervisor": [
            166,
            231
        ],
        "research_areas": [
            "BioVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 947,
                "image_height": 703,
                "name": "Sorger_2013_nMI-Image.jpg",
                "type": "image/jpeg",
                "size": 107141,
                "path": "Publication:Sorger_2013_nMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sorger_2013_nMI-Poster.pdf",
                "type": "application/pdf",
                "size": 2704019,
                "path": "Publication:Sorger_2013_nMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sorger_2013_nMI-Thesis.pdf",
                "type": "application/pdf",
                "size": 15581070,
                "path": "Publication:Sorger_2013_nMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/Sorger_2013_nMI-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Sorger_2013_nMI/",
        "__class": "Publication"
    },
    {
        "id": "arikan-2013-osn",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "O-Snap: Optimization-Based Snapping for Modeling Architecture",
        "date": "2013-01",
        "abstract": "In this paper, we introduce a novel reconstruction and modeling pipeline to create polygonal models from unstructured point clouds. We propose an\nautomatic polygonal reconstruction that can then be interactively refined by the user. An initial model is automatically created by extracting a set of RANSAC-based locally fitted planar primitives along with their boundary polygons, and then searching for local adjacency relations among parts of the polygons. The extracted set of adjacency relations is enforced to snap polygon elements together, while simultaneously fitting to the input point cloud and ensuring the planarity of the polygons. This optimization-based snapping algorithm may also be interleaved with user interaction. This allows the user to sketch modifications with coarse and loose 2D strokes, as the exact alignment of the polygons is automatically performed by the snapping.\nThe generated models are coarse, offer simple editing possibilities by design and are suitable for interactive 3D applications like games, virtual\nenvironments etc. The main innovation in our approach lies in the tight\ncoupling between interactive input and automatic optimization, as well as in an algorithm that robustly discovers the set of adjacency relations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2322,
            "image_height": 1381,
            "name": "arikan-2013-osn-image.png",
            "type": "image/png",
            "size": 2664881,
            "path": "Publication:arikan-2013-osn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            865,
            678,
            1033,
            193,
            228
        ],
        "date_from": "2013-07-21",
        "date_to": "2013-07-25",
        "doi": "10.1145/2421636.2421642",
        "event": "ACM SIGGRAPH 2013",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            865
        ],
        "location": "Anaheim, CA, USA",
        "number": "1",
        "pages_from": "6:1",
        "pages_to": "6:15",
        "volume": "32",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "interactive modeling",
            "surface reconstruction",
            "geometric optimization"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2421636.2421642&amp;coll=DL&amp;dl=ACM&amp;CFID=399181985&amp;CFTOKEN=14714358",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "[109 MB]",
                "filetitle": "applications video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "arikan-2013-osn-applications video.mp4",
                "type": "video/mp4",
                "size": 114337614,
                "path": "Publication:arikan-2013-osn",
                "preview_name": "arikan-2013-osn-applications video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21561,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-applications video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-applications video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-applications video:video.mp4"
            },
            {
                "description": "[49 MB]",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "arikan-2013-osn-draft.pdf",
                "type": "application/pdf",
                "size": 50473000,
                "path": "Publication:arikan-2013-osn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2322,
                "image_height": 1381,
                "name": "arikan-2013-osn-image.png",
                "type": "image/png",
                "size": 2664881,
                "path": "Publication:arikan-2013-osn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-image:thumb{{size}}.png"
            },
            {
                "description": "[123 MB]",
                "filetitle": "main video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "arikan-2013-osn-main video.mp4",
                "type": "video/mp4",
                "size": 129570111,
                "path": "Publication:arikan-2013-osn",
                "preview_name": "arikan-2013-osn-main video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 17315,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/arikan-2013-osn-main video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/arikan-2013-osn/",
        "__class": "Publication"
    },
    {
        "id": "Konyha_2013_IVA",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis in Automotive Engineering Design",
        "date": "2013-01",
        "abstract": "Computational simulation has become instrumental in the design process in automotive engineering.\nVirtually all components and subsystems of automobiles can be simulated. The simulation can be repeated many times with varied parameter settings, thereby simulating many possible design choices. Each simulation run can produce a complex, multivariate, and usually timedependent result data set. The engineers’ goal is to generate useful knowledge from those data.\nThey need to understand the system’s behavior, find correlations in the results, conclude how results depend on the parameters, find optimal parameter combinations, and exclude the ones\nthat lead to undesired results.\n\nComputational analysis methods are widely used and necessary to analyze simulation data sets, but they are not always sufficient. They typically require that problems and interesting\ndata features can be precisely defined from the beginning. The results of automated analysis of complex problems may be difficult to interpret. Exploring trends, patterns, relations, and dependencies in time-dependent data through statistical aggregates is not always intuitive.\n\nIn this thesis, we propose techniques and methods for the interactive visual analysis (IVA) of simulation data sets. Compared to computational methods, IVA offers new and different analysis\nopportunities. Visual analysis utilizes human cognition and creativity, and can also incorporate the experts’ domain knowledge. Therefore, their insight into the data can be amplified, and also\nless precisely defined problems can be solved.\n\nWe introduce a data model that effectively represents the multi-run, time-dependent simulation\nresults as families of function graphs. This concept is central to the thesis, and many of the innovations in this thesis are closely related to it.We present visualization techniques for families of function graphs. Those visualizations, as well as well-known information visualization plots,\nare integrated into a coordinated multiple views framework. All views provide focus+context visualization.\nCompositions of brushes spanning several views can be defined iteratively to select\ninteresting features and promote information drill-down. Valuable insight into the spatial aspect\nof the data can be gained from (generally domain-specific) spatio-temporal visualizations. In\nthis thesis, we propose interactive, glyph-based 3D visualization techniques for the analysis of rigid and elastic multibody system simulations.\n\nWe integrate the on-demand computation of derived data attributes of families of function graphs into the analysis workflow. This facilitates the selection of deeply hidden data features\nthat cannot be specified by combinations of simple brushes on the original data attributes. The\ncombination of these building blocks supports interactive knowledge discovery. The analyst can\nbuild a mental model of the system; explore also unexpected features and relations; and generate, verify or reject hypotheses with visual tools; thereby gaining more insight into the data.\nComplex tasks, such as parameter sensitivity analysis and optimization can be solved. Although\nthe primary motivation for our work was the analysis of simulation data sets in automotive engineering,\nwe learned that this data model and the analysis procedures we identified are also applicable to several other problem domains. We discuss common tasks in the analysis of data\ncontaining families of function graphs.\n\nTwo case studies demonstrate that the proposed approach is indeed applicable to the analysis of simulation data sets in automotive engineering. Some of the contributions of this thesis have\nbeen integrated into a commercially distributed software suite for engineers. This suggests that\ntheir impact can extend beyond the visualization research community.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1800,
            "image_height": 1750,
            "name": "Konyha_2013_IVA-Image.jpg",
            "type": "image/jpeg",
            "size": 490763,
            "path": "Publication:Konyha_2013_IVA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756
        ],
        "co_supervisor": [
            176
        ],
        "date_end": "2013",
        "date_start": "2006",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            176
        ],
        "rigorosum": "2013-02-01",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1800,
                "image_height": 1750,
                "name": "Konyha_2013_IVA-Image.jpg",
                "type": "image/jpeg",
                "size": 490763,
                "path": "Publication:Konyha_2013_IVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Konyha_2013_IVA-Thesis.pdf",
                "type": "application/pdf",
                "size": 10012799,
                "path": "Publication:Konyha_2013_IVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/Konyha_2013_IVA-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Konyha_2013_IVA/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2013-pmsg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Modeling with Shape Grammars",
        "date": "2013",
        "abstract": "Formal languages are used in all areas of computer science including computer graphics. I will focus on procedural modeling, which provides means for automated design and generation of 3D models using grammars. Repeating, symmetric and similar parts of models can be easily encoded. However, abstract description of irregular geometry is connected with several difficult and interesting problems. Starting with well known L-Systems, I will guide you through the world of shape generating grammars up to the state of the art layered concepts. At the end, I will show examples how to model plants, houses and furniture.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303
        ],
        "date_from": "2013-10-04",
        "date_to": "2013-10-04",
        "event": "Seminar of the Institute of Computer Science",
        "location": "Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "PAMINA"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/ilcik-2013-pmsg/",
        "__class": "Publication"
    },
    {
        "id": "kehrer-2013-IVA",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Multi-faceted Scientific Data: Challenges and Trends",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983
        ],
        "date_from": "2013-10-25",
        "event": "Karlsruhe Institute of Technology",
        "location": "Karlsruhe, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/kehrer-2013-IVA/",
        "__class": "Publication"
    },
    {
        "id": "koessler-2013-BA",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature-Adaptive Catmull-Clark Subdivision on the GPU",
        "date": "2013",
        "abstract": "Catmull-Clark subdivision is a powerful standard modeling technique and has already been used extensively in CGI for motion pictures or computer games. An artist creates a coarse polygon mesh, that is computationally converted into a high-quality smooth surface. Due to the recursive nature of the subdivision algorithm and the large number of polygons, that are generated during the mesh-refinement, it is not well suited for realtime-environments. There exist several approaches\r\nto generate a Catmull-Clark subdivision surface which use current GPU technologies to overcome these issues.\r\n\r\nIn this thesis, we use Compute Shaders for subdivision and a Cubic Bezier Patch which takes advantage of the tessellation pipeline to get an optimized algorithm without the loss of visual quality. With the presented method, the support of (Semi)Sharp Creases, which are an important feature to achieve a more realistic look, is also given. The practical part of this thesis is integrated into the Helix 3D Toolkit SharpDX Framework. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1650,
            "image_height": 1110,
            "name": "koessler-2013-BA-image.png",
            "type": "image/png",
            "size": 401209,
            "path": "Publication:koessler-2013-BA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1101
        ],
        "date_end": "2013-09-30",
        "date_start": "2013-05-15",
        "matrikelnr": "0928004",
        "supervisor": [
            844
        ],
        "research_areas": [],
        "keywords": [
            "subdivision surfaces",
            "geometric modeling",
            "GPU tessellation",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1650,
                "image_height": 1110,
                "name": "koessler-2013-BA-image.png",
                "type": "image/png",
                "size": 401209,
                "path": "Publication:koessler-2013-BA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-image:thumb{{size}}.png"
            },
            {
                "description": "thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koessler-2013-BA-thesis.pdf",
                "type": "application/pdf",
                "size": 13879800,
                "path": "Publication:koessler-2013-BA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/koessler-2013-BA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/koessler-2013-BA/",
        "__class": "Publication"
    },
    {
        "id": "laager_florian-2013-camr",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Camera Artifacts in Mixed Reality",
        "date": "2013",
        "abstract": "Simulating camera artifacts for better immersion of virtual objects in a real environment",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1487,
            "image_height": 538,
            "name": "laager_florian-2013-camr-Image.jpg",
            "type": "image/jpeg",
            "size": 395940,
            "path": "Publication:laager_florian-2013-camr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1010
        ],
        "date_start": "2011-10-01",
        "matrikelnr": "0525859",
        "supervisor": [
            736
        ],
        "research_areas": [],
        "keywords": [
            "Mixed Reality",
            "Camera Artifacts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Teaser",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1487,
                "image_height": 538,
                "name": "laager_florian-2013-camr-Image.jpg",
                "type": "image/jpeg",
                "size": 395940,
                "path": "Publication:laager_florian-2013-camr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-Image:thumb{{size}}.png"
            },
            {
                "description": "Report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "laager_florian-2013-camr-report.pdf",
                "type": "application/pdf",
                "size": 203438,
                "path": "Publication:laager_florian-2013-camr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/laager_florian-2013-camr-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/laager_florian-2013-camr/",
        "__class": "Publication"
    },
    {
        "id": "bbeer-2013",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung von Eishockeystatistiken auf mobilen Endgeräten",
        "date": "2013",
        "abstract": "The last few years brought big progress in the field of Information visualization. There are many new and interesting ways to process and visualize the huge amount of data we\r\ncollect in our everyday lifes, to make it easier to understand the meaning of the data. Nevertheless it is surprising, that it is very hard to find literature about visualizations of sport statistics, even though this data poses interesting challenges for finding and evaluating new visualization methods. In this thesis we evaluate and examine sport statistics, particularly icehockey statistics and we are looking for existing and new ways, to visualize them. In particular we are focusing on methods, which are suitable for mobile devices like smartphones and tablets, because those have totally different requirements than normal desktop\r\ncomputers. We also build a prototype, which visualizes different icehockey statistics: one to get the most important information of a league on one screen (league standings, past and\r\nfuture games), and a visualization, where the user can compare the statistics of two teams. We evaluated our method by comparing it with a regular table of statistics. Despite showing the strengths and weaknesses of the new method, the evaluation also posed some interesting approaches for future work in the area of sports visualization on mobile devices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 510,
            "image_height": 289,
            "name": "bbeer-2013-teaser.png",
            "type": "image/png",
            "size": 443240,
            "path": "Publication:bbeer-2013",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            946
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "masters-thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 574,
                "preview_image_height": 504,
                "name": "bbeer-2013-masters-thesis.pdf",
                "type": "application/pdf",
                "size": 10976436,
                "path": "Publication:bbeer-2013",
                "preview_name": "bbeer-2013-masters-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 869862,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-masters-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-masters-thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 574,
                "preview_image_height": 504,
                "name": "bbeer-2013-poster.pdf",
                "type": "application/pdf",
                "size": 1009606,
                "path": "Publication:bbeer-2013",
                "preview_name": "bbeer-2013-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 869883,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 510,
                "image_height": 289,
                "name": "bbeer-2013-teaser.png",
                "type": "image/png",
                "size": 443240,
                "path": "Publication:bbeer-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/bbeer-2013-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/bbeer-2013/",
        "__class": "Publication"
    },
    {
        "id": "carbesser-2013",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Large-Scale Noise Simulation and Visualization of Moving Point Sources",
        "date": "2013",
        "abstract": "Noise pollution is an ever increasing problem not just in urban environments but also in more rural areas such as small villages, along country roads or even in very sparsely populated regions.\r\nThe demands of the industry and local governments often clash with the interests of people in the neighborhood, creating areas of conflict that often end up in court. Though in many countries noise assessments are mandatory in order to obtain building permission, these documents are\r\nusually not suited or sometimes conceivably not even intended to convey the impact of projects on their environment to the general public.\r\nThe purpose of this master’s thesis is to propose ways to simulate and visualize noise pollution in large-scale, non-urban environments in order to help communicate the impact of new\r\nsound emitters on affected neighbors. Knowledge of noise propagation, the influence of the terrain and other obstacles as well as how different emitters add up can provide valuable insights and help in the decision-making process. This knowledge may be particularly helpful when trying\r\nto decide on suitable locations for noise screens and/or when trying to find good places to offset some of the local noise emitters. The tool developed uses NVIDIA’s CUDA architecture and the European norm ISO 9613-2:\r\nAttenuation of sound during propagation outdoors to create real-time visualizations in both 2D and 3D. Results are compared against ground truth data obtained by taking noise measurements in the field.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 258,
            "image_height": 247,
            "name": "carbesser-2013-teaser.png",
            "type": "image/png",
            "size": 191794,
            "path": "Publication:carbesser-2013",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            805
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "masters-thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 574,
                "preview_image_height": 499,
                "name": "carbesser-2013-masters-thesis.pdf",
                "type": "application/pdf",
                "size": 5908418,
                "path": "Publication:carbesser-2013",
                "preview_name": "carbesser-2013-masters-thesis:preview.png",
                "preview_type": "image/png",
                "preview_size": 861223,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-masters-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-masters-thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 574,
                "preview_image_height": 499,
                "name": "carbesser-2013-poster.pdf",
                "type": "application/pdf",
                "size": 11368202,
                "path": "Publication:carbesser-2013",
                "preview_name": "carbesser-2013-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 861244,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 258,
                "image_height": 247,
                "name": "carbesser-2013-teaser.png",
                "type": "image/png",
                "size": 191794,
                "path": "Publication:carbesser-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/carbesser-2013-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/carbesser-2013/",
        "__class": "Publication"
    },
    {
        "id": "charpenay-2013-PR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Garbor Noise Sampling",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "collage",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1062,
            "name": "charpenay-2013-PR-image.jpg",
            "type": "image/jpeg",
            "size": 410614,
            "path": "Publication:charpenay-2013-PR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1102
        ],
        "date_end": "2013-08-30",
        "date_start": "2013-05-01",
        "supervisor": [
            844
        ],
        "research_areas": [],
        "keywords": [
            "Garbor Noise",
            "Procedural Texture"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "collage",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1062,
                "name": "charpenay-2013-PR-image.jpg",
                "type": "image/jpeg",
                "size": 410614,
                "path": "Publication:charpenay-2013-PR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/charpenay-2013-PR-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/charpenay-2013-PR/",
        "__class": "Publication"
    },
    {
        "id": "EISEMANN-2013-ERT",
        "type_id": "otherreviewed",
        "tu_id": 224336,
        "repositum_id": null,
        "title": "Efficient Real-Time Shadows",
        "date": "2013",
        "abstract": "This course provides an overview of efficient, real-time shadow algorithms. It presents the theoretical background but also discusses implementation details for facilitating efficient realizations (hard and soft shadows, volumetric shadows, reconstruction techniques). These elements are of relevance to both experts and practitioners. The course also reviews budget considerations and analyzes performance trade-offs, using examples from various AAA game titles and film previsualization tools. While physical accuracy can sometimes be replaced by plausible shadows, especially for games, film production requires more precision, such as scalable solutions that can deal with highly detailed geometry.\n\nThe course builds upon earlier SIGGRAPH courses as well as the recent book Real-Time Shadows (A K Peters, 2011) by four of the instructors (due to its success, a second edition is planned for 2014). And with two instructors who have worked on AAA game and movie titles, the course presents interesting behind-the-scenes information that illuminates key topics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1600,
            "image_height": 1071,
            "name": "EISEMANN-2013-ERT-image.png",
            "type": "image/png",
            "size": 935123,
            "path": "Publication:EISEMANN-2013-ERT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/EISEMANN-2013-ERT/EISEMANN-2013-ERT-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/EISEMANN-2013-ERT/EISEMANN-2013-ERT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            823,
            824,
            825,
            1141,
            193
        ],
        "booktitle": "ACM SIGGRAPH 2013 Courses",
        "date_from": "2013-07-21",
        "date_to": "2013-07-25",
        "isbn": "978-1-4503-2339-0",
        "location": "Anaheim, CA",
        "pages_from": "18:1",
        "pages_to": "18:54",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 1071,
                "name": "EISEMANN-2013-ERT-image.png",
                "type": "image/png",
                "size": 935123,
                "path": "Publication:EISEMANN-2013-ERT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/EISEMANN-2013-ERT/EISEMANN-2013-ERT-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/EISEMANN-2013-ERT/EISEMANN-2013-ERT-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/EISEMANN-2013-ERT/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2013-cs_cvut",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Contextual Snapshots: Enriched Visualization with Interactive Spatial Annotations",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 206,
            "name": "mindek-2013-cs_cvut-.png",
            "type": "image/png",
            "size": 38030,
            "path": "Publication:mindek-2013-cs_cvut",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/mindek-2013-cs_cvut-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/mindek-2013-cs_cvut-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2013-06-29",
        "event": "Scientific meeting of Department of Computer Graphics and Interaction",
        "location": "Czech Technical University in Prague",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 206,
                "name": "mindek-2013-cs_cvut-.png",
                "type": "image/png",
                "size": 38030,
                "path": "Publication:mindek-2013-cs_cvut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/mindek-2013-cs_cvut-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/mindek-2013-cs_cvut-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2013-cs_cvut-Presentation.zip",
                "type": "application/zip",
                "size": 15878397,
                "path": "Publication:mindek-2013-cs_cvut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/mindek-2013-cs_cvut-Presentation.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-cs_cvut/",
        "__class": "Publication"
    },
    {
        "id": "mindek-2013-pel",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Parameter Exploration in GPU Shader Space",
        "date": "2013",
        "abstract": "The wide availability of high-performance GPUs has made the use of shader programs in visualization ubiquitous.\r\nUnderstanding shaders is a challenging task. Frequently it is dif?cult to mentally reconstruct the nature and types\r\nof transformations applied to the underlying data during the visualization process. We propose a method for the\r\nvisual analysis of GPU shaders, which allows the ?exible exploration and investigation of algorithms, parameters,\r\nand their effects. We introduce a method for extracting feature vectors composed of several attributes of the shader,\r\nas well as a direct manipulation interface for assigning semantics to them. The user interactively classi?es pixels of\r\nimages which are rendered with the investigated shader. The two resulting classes, a positive class and a negative\r\none, are employed to steer the visualization. Based on this information, we can extract a wide variety of additional\r\nattributes and visualize their relation to this classi?cation. Our system allows an interactive exploration of shader\r\nspace and we demonstrate its utility for several different applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "mindek-2013-pel-.png",
            "type": "image/png",
            "size": 124628,
            "path": "Publication:mindek-2013-pel",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935,
            161,
            488,
            166
        ],
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            935
        ],
        "location": "Plzen, Czech Republic",
        "number": "3",
        "pages_from": "225",
        "pages_to": "234",
        "volume": "21",
        "research_areas": [],
        "keywords": [
            "shader augmentation",
            "parameter space exploration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "mindek-2013-pel-.png",
                "type": "image/png",
                "size": 124628,
                "path": "Publication:mindek-2013-pel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2013-pel-Paper.pdf",
                "type": "application/pdf",
                "size": 4812840,
                "path": "Publication:mindek-2013-pel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mindek-2013-pel-Slides.pptx",
                "type": "application/zip",
                "size": 15563078,
                "path": "Publication:mindek-2013-pel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "mindek-2013-pel-Video.avi",
                "type": "video/x-msvideo",
                "size": 10875702,
                "path": "Publication:mindek-2013-pel",
                "preview_name": "mindek-2013-pel-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 31199,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/mindek-2013-pel-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/mindek-2013-pel/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2013-prag",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Facade Reconstruction: An Interactive Image-Based Approach",
        "date": "2013",
        "abstract": "Modeling and reconstruction of urban environments is currently the subject of\r\nintensive research. In this talk I will present one specific subfield of urban\r\nreconstruction: interactive image-based facade reconstruction. In particular I will\r\nintroduce insights into image-based interactive approaches which aim at the\r\ndecomposition of facade imagery in order to generate well defined geometric\r\nmodels.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 960,
            "image_height": 720,
            "name": "musialski-2013-prag-image.jpg",
            "type": "image/jpeg",
            "size": 68251,
            "path": "Publication:musialski-2013-prag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_from": "2013-06-06",
        "date_to": "2013-06-06",
        "event": "Invited Talk at Czech Technical University in Prague",
        "location": "Czech Technical University in Prague, Department of Computer Graphics and Interaction, Prague",
        "research_areas": [],
        "keywords": [
            "facade reconstruction",
            "urban reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "abstract",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2013-prag-abstract.pdf",
                "type": "application/pdf",
                "size": 21125,
                "path": "Publication:musialski-2013-prag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-abstract:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "name": "musialski-2013-prag-image.jpg",
                "type": "image/jpeg",
                "size": 68251,
                "path": "Publication:musialski-2013-prag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-image:thumb{{size}}.png"
            },
            {
                "description": "slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2013-prag-slides.pdf",
                "type": "application/pdf",
                "size": 7971480,
                "path": "Publication:musialski-2013-prag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/musialski-2013-prag-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/musialski-2013-prag/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2013-cvws",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accurate Fast Simulation of Light",
        "date": "2013",
        "abstract": "Light distribution in a scene is a very complex issue if it shall be close to realism. For a lamp producing and light planning company such as Zumtobel it is of great value to be able to design installations interactively, providing immediate feedback to the costumers about the final result. Many aspects such as reflections and indirect lighting make this task difficult. This talk will give some ideas how a project at the research center VRVis approaches this topic, and which algorithms are useful for this. Where can we simplify without visible loss? How can we use the GPU to speed up the calculations? Why are virtual lights an efficient concept? Some example images provide evidence.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2013-02-04",
        "date_to": "2013-02-06",
        "event": "The 18th Computer Vision Winter Workshop",
        "location": "Hernstein, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Purgathofer-2013-cvws/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2013-fhg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing Research inspired by Applications",
        "date": "2013",
        "abstract": "Almost all areas of life can be improved with Visual Computing techniques. Research, however, often focusses on assumed problems, guessed by academic researchers. In the research center VRVis, founded 13 years ago to transfer academic knowledge to industry, research topics are motivated and steered by real world needs, leading to real solutions for practical purposes. The talk will present several such research projects, and explore some skills these researchers need and have developed to fulfill this challenging task.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2013-11-19",
        "event": "Science Meets Business, FhG",
        "location": "Graz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Purgathofer-2013-fhg/",
        "__class": "Publication"
    },
    {
        "id": "schuetz_markus-2013-pra",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Consistent Meshing",
        "date": "2013",
        "abstract": "create a mesh for a point cloud by constructing near-consistent umbrellas at points. near-consistency is ensured by determining the umbrella with lexically minimum edges.\nthe first goal is to find this umbrella with very few evaluations and, if necessary, high probability.\nthe second task is implement the entire process on the GPU and to display the consistent umbrellas.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 426,
            "image_height": 430,
            "name": "schuetz_markus-2013-pra-image.png",
            "type": "image/png",
            "size": 60220,
            "path": "Publication:schuetz_markus-2013-pra",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116
        ],
        "date_end": "2013-10-01",
        "date_start": "2013-07-18",
        "matrikelnr": "0825723",
        "supervisor": [
            948
        ],
        "research_areas": [],
        "keywords": [
            "nearest neighbors",
            "meshing",
            "real-time",
            "delaunay triangulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 426,
                "image_height": 430,
                "name": "schuetz_markus-2013-pra-image.png",
                "type": "image/png",
                "size": 60220,
                "path": "Publication:schuetz_markus-2013-pra",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-image:thumb{{size}}.png"
            },
            {
                "description": "Project report",
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz_markus-2013-pra-report.pdf",
                "type": "application/pdf",
                "size": 263665,
                "path": "Publication:schuetz_markus-2013-pra",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/schuetz_markus-2013-pra-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schuetz_markus-2013-pra/",
        "__class": "Publication"
    },
    {
        "id": "schwankl-2013-smis",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Splitting of Meshes in Image-Space",
        "date": "2013",
        "abstract": "Representing complex 3D data is no problem with modern technologies. The challenge is to reveal data that is concealed by solid geometry and retaining its context at the same time. In this thesis, several approaches are presented that deal with this problem by finding user-centered solutions that are adjusted for each individual requirement. Moreover, a simple algorithm is proposed that combines existing approaches to reveal occluded structures. Therefore, a descriptive implementation of this algorithm is shown with VolumeShop, an application that flexibly supports visualization research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 256,
            "image_height": 205,
            "name": "schwankl-2013-smis-.png",
            "type": "image/png",
            "size": 19630,
            "path": "Publication:schwankl-2013-smis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1132
        ],
        "supervisor": [
            166,
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 256,
                "image_height": 205,
                "name": "schwankl-2013-smis-.png",
                "type": "image/png",
                "size": 19630,
                "path": "Publication:schwankl-2013-smis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Bachelor Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schwankl-2013-smis-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 799003,
                "path": "Publication:schwankl-2013-smis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Workplan",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schwankl-2013-smis-Workplan.docx",
                "type": "application/zip",
                "size": 11449,
                "path": "Publication:schwankl-2013-smis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/schwankl-2013-smis-Workplan.docx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/schwankl-2013-smis/",
        "__class": "Publication"
    },
    {
        "id": "steiner-2013-BS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Voxel Cone Tracing",
        "date": "2013",
        "abstract": "Voxel cone tracing can simulate global illumination effect in real-time. This project tries to evaluate how plausible the simulation is and how well it scales in terms of performance and quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1120
        ],
        "date_start": "2013-07-01",
        "matrikelnr": "0825391",
        "supervisor": [
            193,
            779
        ],
        "research_areas": [],
        "keywords": [
            "Voxel",
            "Voxel Cone Tracing",
            "Cone Tracing",
            "Indirect Illumination",
            "Global Illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Binaries of the program ",
                "filetitle": "bin",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "steiner-2013-BS-bin.zip",
                "type": "application/zip",
                "size": 35940394,
                "path": "Publication:steiner-2013-BS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/steiner-2013-BS/steiner-2013-BS-bin.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Source code of the program",
                "filetitle": "src",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "steiner-2013-BS-src.zip",
                "type": "application/zip",
                "size": 39428100,
                "path": "Publication:steiner-2013-BS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/steiner-2013-BS/steiner-2013-BS-src.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/steiner-2013-BS/",
        "__class": "Publication"
    },
    {
        "id": "Streicher-bachelor-2013",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Scene Manipulation Techniques for Ray Tracing",
        "date": "2013",
        "abstract": "'Ray tracing is the future and will ever be'. This was the title of the ray tracing course at SIGGRAPH 2013, which shows what an important field of research ray tracing currently is. The most important reason ray tracing or path tracing has not yet replaced rasterization are the long computation times. While ray and path tracing already have replaced rasterization for offline rendering in general, we still rarely see it in real time applications. With a lot of promising results presented in the last years we can expect ray tracing to become more popular in the next years.\r\n\r\nIn interactive applications fast response times are needed to create smooth and usable tools. Many different things influence the final rendering time, like the number of refractive and reflective objects, pixels covered by those objects and objects in general. We have developed a basic scene designing tool using ray tracing and have benchmarked different code styles and the impact of various of these parameters on the final render time. We also present a simple technique to determine which regions require re-rendering when changes are introduced to the scene, allowing to save a considerable amount of computation time.\r\n\r\nWhen using scene editing designing tools, for certain features, it is usually desirable to trade artifacts, higher noise levels or reduced image quality for faster render times during interaction. In this thesis we propose different options for interactive scene designing and and our benchmark results as well as the implementation of our scene designing tool.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1105
        ],
        "date_end": "2013-08-30",
        "date_start": "2013-04-08",
        "matrikelnr": "1025890",
        "supervisor": [
            193,
            1073
        ],
        "research_areas": [],
        "keywords": [
            "real-time",
            "ray tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Streicher-bachelor-2013-thesis.pdf",
                "type": "application/pdf",
                "size": 2866549,
                "path": "Publication:Streicher-bachelor-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Streicher-bachelor-2013/Streicher-bachelor-2013-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Streicher-bachelor-2013/Streicher-bachelor-2013-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Streicher-bachelor-2013/",
        "__class": "Publication"
    },
    {
        "id": "szabo_2013_ssrr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rasterized Curved Reflections in Screen Space",
        "date": "2013",
        "abstract": "The rendering of reflections on mirror-like objects is an important operation performed in image\r\nsynthesis. Being able to calculate the reflections on reflective surfaces in a rendered scene helps\r\nvisualize many materials which have such properties and aids the viewer in recognizing objects\r\nand the perception of distance relations between them. Considering the increasing use of computer\r\nsystems in day-to-day life, there is much interest in implementing methods that are able to\r\nrender these reflections at interactive framerates for use in interactive systems, such as computer\r\ngames and virtual reality.\r\nIn this paper one given state-of-the-art method and two possible extensions are examined.\r\nThe method is designed for rendering accurate reflections of geometry on the surface of a curved\r\nreflector, utilizing the capabilities of the rendering pipelines implemented on contemporary\r\ngraphics hardware, in real-time. It is based around finding the reflection point for each vertex\r\nof a geometry object, and then letting the graphics hardware rasterize the reflected geometry\r\nusing the found points.\r\nTwo important problems with this approach are that the search for the reflection point can\r\ntake a long time, and that the linear interpolation used in the rasterizing step leads to artifacts\r\non the reflector’s curved surface. The first examined modification is aimed at reducing the time\r\nneeded for the search of a reflection point by using a hierachial data structure, and an accordingly\r\ndifferent searching technique, while still storing the data as efficiently as before. The second\r\nmodification attempts to reduce the linear interpolation error in the final image by tessellating\r\nthe reflected geometry. This is done adaptively based on a metric for the error reduced. Finally,\r\nsome results are presented and discussed and some ideas for possible future work in this field is\r\ngiven.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1029,
            "image_height": 439,
            "name": "szabo_2013_ssrr-.png",
            "type": "image/png",
            "size": 982543,
            "path": "Publication:szabo_2013_ssrr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1002
        ],
        "date_end": "2013-04-06",
        "date_start": "2012-03-15",
        "matrikelnr": "0925269",
        "supervisor": [
            799
        ],
        "research_areas": [],
        "keywords": [
            "Curved Reflections",
            "Ray-Space Hierarchy",
            "Adaptive Tessellation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1029,
                "image_height": 439,
                "name": "szabo_2013_ssrr-.png",
                "type": "image/png",
                "size": 982543,
                "path": "Publication:szabo_2013_ssrr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "szabo_2013_ssrr-thesis.pdf",
                "type": "application/pdf",
                "size": 8189507,
                "path": "Publication:szabo_2013_ssrr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/szabo_2013_ssrr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/szabo_2013_ssrr/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Edi_2013_TVC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Trends in Visual Computing",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Groeller_Edi_2013_TVC-.pdf",
            "type": "application/pdf",
            "size": 3270245,
            "path": "Publication:Groeller_Edi_2013_TVC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_TVC/Groeller_Edi_2013_TVC-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_TVC/Groeller_Edi_2013_TVC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2013-04-10",
        "event": "CD-adapco Customer Advisory Council Meeting",
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Edi_2013_TVC-.pdf",
                "type": "application/pdf",
                "size": 3270245,
                "path": "Publication:Groeller_Edi_2013_TVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_TVC/Groeller_Edi_2013_TVC-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_TVC/Groeller_Edi_2013_TVC-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_TVC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Edi_2013_VCQ",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing - Quo Vadis?",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Groeller_Edi_2013_VCQ-.pdf",
            "type": "application/pdf",
            "size": 11290006,
            "path": "Publication:Groeller_Edi_2013_VCQ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_VCQ/Groeller_Edi_2013_VCQ-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_VCQ/Groeller_Edi_2013_VCQ-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2013-10-09",
        "event": "CS-Colloquium of the Faculty of Computer Science",
        "location": "University of Vienna",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Edi_2013_VCQ-.pdf",
                "type": "application/pdf",
                "size": 11290006,
                "path": "Publication:Groeller_Edi_2013_VCQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_VCQ/Groeller_Edi_2013_VCQ-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_VCQ/Groeller_Edi_2013_VCQ-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013_VCQ/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Edi_2013TVCK",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Trends in Visual Computing",
        "date": "2013",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Groeller_Edi_2013TVCK-.pdf",
            "type": "application/pdf",
            "size": 24878513,
            "path": "Publication:Groeller_Edi_2013TVCK",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013TVCK/Groeller_Edi_2013TVCK-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013TVCK/Groeller_Edi_2013TVCK-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2013-08-07",
        "event": "Conference on Graphics, Patterns and Images",
        "location": "Arequipa, Peru",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Edi_2013TVCK-.pdf",
                "type": "application/pdf",
                "size": 24878513,
                "path": "Publication:Groeller_Edi_2013TVCK",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013TVCK/Groeller_Edi_2013TVCK-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013TVCK/Groeller_Edi_2013TVCK-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_2013TVCK/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_Edi_VKA",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisation using Knowledge Assisted Sparse Interaction",
        "date": "2013",
        "abstract": "Knowledge-Assisted Visualization:\r\n - LiveSync: Knowledge-Based Navigation\r\n - Contextual Picking\r\n - Knowledge-Assisted Sparse Interaction\r\n - Semantics Driven Illustrative Rendering\r\n - Smart Super Views",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Groeller_Edi_VKA-.pdf",
            "type": "application/pdf",
            "size": 2027250,
            "path": "Publication:Groeller_Edi_VKA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_VKA/Groeller_Edi_VKA-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_VKA/Groeller_Edi_VKA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2013-02-12",
        "event": "VIGOR++ Workshop 2013 – Advances in VPH Technologies and the VIGOR++ Tools",
        "location": "Academic Medical Center, Amsterdam, The Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_Edi_VKA-.pdf",
                "type": "application/pdf",
                "size": 2027250,
                "path": "Publication:Groeller_Edi_VKA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_VKA/Groeller_Edi_VKA-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_VKA/Groeller_Edi_VKA-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Groeller_Edi_VKA/",
        "__class": "Publication"
    },
    {
        "id": "hafner_christian-2013-oflow",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image to Geometry Projection",
        "date": "2013",
        "abstract": "The projection of images onto a 3D model is a widely applicable way to acquire appearance information of an object. The first step of this procedure is the alignment of the images on the 3D model. While any reconstruction pipeline aims at avoiding misregistration by improving camera calibrations and geometry, remaining errors show up either as ghosting or as discontinuities at transitions from one camera view to another. Correcting the local misalignment by determining the necessary displacement offers a solution to aforementioned artifacts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 988,
            "image_height": 607,
            "name": "hafner_christian-2013-oflow-image1.jpg",
            "type": "image/jpeg",
            "size": 174560,
            "path": "Publication:hafner_christian-2013-oflow",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-image1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1090
        ],
        "date_start": "2012-10-10",
        "matrikelnr": "e0925172",
        "supervisor": [
            865,
            193
        ],
        "research_areas": [],
        "keywords": [
            "optical flow"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 988,
                "image_height": 607,
                "name": "hafner_christian-2013-oflow-image1.jpg",
                "type": "image/jpeg",
                "size": 174560,
                "path": "Publication:hafner_christian-2013-oflow",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-image1:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hafner_christian-2013-oflow-thesis.pdf",
                "type": "application/pdf",
                "size": 13488699,
                "path": "Publication:hafner_christian-2013-oflow",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/hafner_christian-2013-oflow-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/hafner_christian-2013-oflow/",
        "__class": "Publication"
    },
    {
        "id": "Viola_Ivan_2013_DC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Declarative Visualization",
        "date": "2013",
        "abstract": "Visualization algorithms are nowadays formalized in an imperative\r\nmanner, i.e. the algorithm is explicitly executed on input data and\r\ndictates a determined visualization outcome.  The efficiency of such\r\nan algorithm is measured by means of the computational performance,\r\ndata-scalability and user studies. In my talk I will speculate on a\r\nnovel theoretical concept for the development of new visualization\r\nmethodology that becomes ultimately declarative and algorithm-free, by\r\nmoving the user study from a validation stage into the center of the\r\niterative design stage. Initial visualization from input data is\r\nconsidered as the first design draft, which will undergo several\r\nrevisions. This draft can be achieved by executing a traditional\r\nimperative algorithm or it can even be hand-crafted by a skilled\r\nillustrator. A consequent user study of initial visualization will\r\ntrigger computational synthesis of a new, quantitatively more\r\neffective visualization technique. The visualization designs developed\r\nthrough several iterations of the study-redesign cycle will become\r\ndeclarative, aiming at optimally satisfying the purpose of the\r\nvisualization, instead of explicit execution of algorithms on the\r\ninput data. The declarative component will be specified by collected\r\nuser statistics from completing certain perceptual or cognitive tasks.\r\nThe user statistics will be analyzed for systematic trends in human\r\nperceptual and cognitive performance.  These trends will form a basis\r\nfor visualization redesign. Final satisfactory visualization will\r\nevolve over several design iterations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1370,
            "image_height": 462,
            "name": "Viola_Ivan_2013_DC-Image.png",
            "type": "image/png",
            "size": 55711,
            "path": "Publication:Viola_Ivan_2013_DC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2013-05-02",
        "event": "SCCG 2013",
        "location": "Smolenice castle, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1370,
                "image_height": 462,
                "name": "Viola_Ivan_2013_DC-Image.png",
                "type": "image/png",
                "size": 55711,
                "path": "Publication:Viola_Ivan_2013_DC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola_Ivan_2013_DC-Paper.pdf",
                "type": "application/pdf",
                "size": 2753818,
                "path": "Publication:Viola_Ivan_2013_DC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/Viola_Ivan_2013_DC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/Viola_Ivan_2013_DC/",
        "__class": "Publication"
    },
    {
        "id": "VOELKL-2013-RTRS",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Resampling and Visualization of Magnetic Data",
        "date": "2013",
        "abstract": "Note: praktikkum cancelled 9.10.2014 since no feedback from student for almost a year.\r\n\r\nAn array of sensitive magnetometers is used in archaeological prospection to detect small changes in Earth's magnetic field caused by soil-filled pits and ditches or small items like ceramics buried in the soil. The magnetometers are mounted on a cart pulled by hand or a motor vehicle, and the system records GPS positions and various signal values every few milliseconds as the cart is pulled over the ground in (mostly) parallel tracks. From these millions of data samples, raster images are created which show the position of archaeological features.\r\n\r\nSometimes the tracks are not so parallel, however, when obstacles like trees have to be circumnavigated. Sometimes tracks may overlap, or on the other hand, there may also be holes in the data when the tracks are too far apart. That means, for some raster pixels, we have many measurements (oversampling), while other pixels are undersampled and may at best be reconstructed from values falling into neighboring pixels. The positioning accuracy may vary between samples, which means the measured value may with some probability be better placed in the neighboring pixels. This can be modelled by distributing the signal with a Gaussian blob. Also the quality of the sample may depend on various parameters like distance from ground or even instrument age, all these, pointwise recorded data and data set metadata should be taken into account for a system with 10 or even 12 channels.\r\n\r\nPoint-based rendering has been developed to create images directly from a 3D point cloud collected e.g. with a laser scanner. Also here, instead of points, Gaussian sprites can be used to avoid visible holes between undersampled regions in the point cloud.\r\n\r\nWe would like to experiment to find out the best filter settings to create optimal visual representations from our multi-scalar data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1103
        ],
        "date_start": "2013-06-13",
        "matrikelnr": "0926987",
        "supervisor": [
            193,
            222
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/VOELKL-2013-RTRS/",
        "__class": "Publication"
    },
    {
        "id": "weissenboeck_2013",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "?ber - Design Study of a Tool for Interactive Exploration and Visual Analysis of Material Characteristics for X-ray Computed Tomography Data of Fiber Reinforced Polymers",
        "date": "2013",
        "abstract": "Fibers are essential structures in advanced composite materials such as fiber reinforced polymers. The characteristic and performance of this kind of  material in terms of stiffness, strength, ductility, or durability is to a large extent determined by the individual properties of its fibers. In this paper we introduce a new approach for interactive exploration and visual analysis of fiber properties in X-ray computed tomography data of fiber reinforced polymers. The presented tool uses parallel coordinates to define and configure fiber classes. A scatter plot matrix allows for a refinement of the initial classification. The linked views of parallel coordinates and scatter plot matrix enables the detection of hidden relationships between individual fiber properties. Furthermore by using polar plots an intuitive rendering of the fiber orientation distribution is provided. In addition, two modules with a higher abstraction level are proposed: In the first module, the blob visualization enclosing a hull for regions of fibers with similar characteristics. In the second module, the metadata visualization calculates overlays for the 2D slicers and the 3D view, containing regional information of single material characteristics. The presented tool is evaluated by two groups of domain experts. The user feedback shows that applying the presented concepts allows domain experts to effectively perform tasks as: clustering regions of fibers with similar properties, revealing the most significant fiber orientations, detecting outliers, and getting important insights into the analyzed materials and components. The information gained is forwarded to the design office as well as to material development and simulation, in order to enhance novel composite components and materials in an early development stage.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1169,
            817,
            1124,
            1054,
            1170,
            166,
            613,
            611
        ],
        "number": "TR-186-2-13-01",
        "research_areas": [],
        "keywords": [
            "Interaction techniques",
            "Methodology and Techniques",
            "Computer Graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "weissenboeck_2013-paper.pdf",
                "type": "application/pdf",
                "size": 2700936,
                "path": "Publication:weissenboeck_2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/weissenboeck_2013/weissenboeck_2013-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/weissenboeck_2013/weissenboeck_2013-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/weissenboeck_2013/",
        "__class": "Publication"
    },
    {
        "id": "winklhofer_christoph-2013-RRMR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reflections, Refractions and Caustics in a Mixed-Reality Environment",
        "date": "2013",
        "abstract": "In a mixed-reality environment virtual objects are merged into a real scene. Such an augmentation with virtual objects offers great possibilities to present content in new and innovative ways. The visual appearance of these virtual objects depends on a plausible lighting simulation. Otherwise, virtual objects look artificial and out of place, which destroys the overall impression of the perceived scene.\r\n\r\nReflective and refractive objects are an inherent part of our physical environment. Accordingly, virtual objects of this type also enhance the overall impression and scope of a mixed-reality application. Many mixed-reality systems still neglect them: Such objects require a complex light simulation that is hard to embed in a mixed-reality system, which demands real-time frame rates to handle the user interaction.\r\n\r\nThis thesis describes the integration of reflective and refractive objects in a mixed-reality environment. The aim is to create a realistic light distribution that simulates reflections and refractions between real and virtual objects. Another important aspect for a believable perception are caustics, light focusing due to the scattering from reflective or refractive objects. Until recently, this effect was simply excluded in the lighting simulation of mixed-reality systems.\r\n\r\nThe proposed rendering method extends differential instant radiosity with three other image space rendering techniques capable to handle reflections, refractions and caustics in real time. By combining these techniques, our method successfully simulates the various lighting effects from reflective and refractive objects and is able to handle user interactions at interactive to realtime frame rates. This offers a practicable possibility to greatly improve the visual quality of a\r\nmixed-reality environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 600,
            "name": "winklhofer_christoph-2013-RRMR-image.jpg",
            "type": "image/jpeg",
            "size": 265091,
            "path": "Publication:winklhofer_christoph-2013-RRMR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1011
        ],
        "date_end": "2013-01-28",
        "date_start": "2011-10-01",
        "matrikelnr": "0426461",
        "supervisor": [
            193,
            736
        ],
        "research_areas": [],
        "keywords": [
            "Caustics",
            "Reflections",
            "Mixed Reality",
            "Refractions"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Screenshot",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 600,
                "name": "winklhofer_christoph-2013-RRMR-image.jpg",
                "type": "image/jpeg",
                "size": 265091,
                "path": "Publication:winklhofer_christoph-2013-RRMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-image:thumb{{size}}.png"
            },
            {
                "description": "Poster of Master Thesis",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "winklhofer_christoph-2013-RRMR-Poster.pdf",
                "type": "application/pdf",
                "size": 1193952,
                "path": "Publication:winklhofer_christoph-2013-RRMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-Poster:thumb{{size}}.png"
            },
            {
                "description": "Master Thesis",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "winklhofer_christoph-2013-RRMR-Thesis.pdf",
                "type": "application/pdf",
                "size": 8974858,
                "path": "Publication:winklhofer_christoph-2013-RRMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/winklhofer_christoph-2013-RRMR-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/winklhofer_christoph-2013-RRMR/",
        "__class": "Publication"
    },
    {
        "id": "x-mas-2013",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2013",
        "date": "2013",
        "abstract": "With our Season’s Greetings we are sending you an \nautomatically  generated  brochure  that  provides \nrouting information for several of Vienna’s Christ-\nmas markets. In the middle you can see an overview \nmap that provides approximate locations as well as \nrouting  information.  Around  the  map  you  can  see \nso-called  ‘detail  lenses’  that  provide  more  exact \nmaps and routing as well as names and photographs.\nAll  elements  are  arranged  using  a  binary  integer \nprogram  (BIP),  whose  goal  is  the  positioning  of  the \ndetail lenses as close as possible to their correspond-\ning markers in the overview map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "x-card 2013",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2480,
            "image_height": 1753,
            "name": "x-mas-2013-image.png",
            "type": "image/png",
            "size": 7535044,
            "path": "Publication:x-mas-2013",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            844
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "x-mas card"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "x-card",
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "x-mas-2013-card.pdf",
                "type": "application/pdf",
                "size": 15439799,
                "path": "Publication:x-mas-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-card:thumb{{size}}.png"
            },
            {
                "description": "x-card 2013",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2480,
                "image_height": 1753,
                "name": "x-mas-2013-image.png",
                "type": "image/png",
                "size": 7535044,
                "path": "Publication:x-mas-2013",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/x-mas-2013-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend",
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/x-mas-2013/",
        "__class": "Publication"
    },
    {
        "id": "zapotocky_2013_ma",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-Based Modeling with Polyhedral Primitives",
        "date": "2013",
        "abstract": "The reconstruction of 3D models out of image data plays an important role in many research areas. Previous work has brought fully automatic or semi-automatic algorithms for extracting 3D data out of multiple images or videos. The output is usually a 3D point cloud, which is a big challenge when further manipulation of the scanned object, such as modeling and texturing, is needed. The goal of this master thesis is the research on methods for creating simple geometry out of such initial data. In the process of the work a modeling tool will be implemented, which enables users to integrate polyhedral primitives in a 3D point dataset. Being assisted by optimization techniques, the user shall be able to simplify such a 3D point cloud to a combination of basic geometric objects, which allow an easy manipulation in further tasks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 825,
            "image_height": 572,
            "name": "zapotocky_2013_ma-image.png",
            "type": "image/png",
            "size": 488957,
            "path": "Publication:zapotocky_2013_ma",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1095
        ],
        "date_end": "2014-01-07",
        "date_start": "2013-04-01",
        "matrikelnr": "0426209",
        "supervisor": [
            844
        ],
        "research_areas": [],
        "keywords": [
            "interactive modeling",
            "image-based modeling"
        ],
        "weblinks": [],
        "files": {
            "1": {
                "description": "Image",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 825,
                "image_height": 572,
                "name": "zapotocky_2013_ma-image.png",
                "type": "image/png",
                "size": 488957,
                "path": "Publication:zapotocky_2013_ma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-image:thumb{{size}}.png"
            },
            "2": {
                "description": "Diploma Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zapotocky_2013_ma-thesis.pdf",
                "type": "application/pdf",
                "size": 8795646,
                "path": "Publication:zapotocky_2013_ma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/zapotocky_2013_ma-thesis:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zapotocky_2013_ma/",
        "__class": "Publication"
    },
    {
        "id": "zauner-2013-svkinect",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smartvis with Kinect Support",
        "date": "2013",
        "abstract": "We want to enable the user to explore volume data in a novel way. Using the Kinect camera, we obtain depth information that is then used to calculate a cutting plane. Moving objects in front of the camera, e.g. a sheet of paper or ones hands, back and forth, the cutting plane is moved through the volume data, creating an intuitive way for exploration. Additional parameters are exposed in the GUI to modify depth information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 329,
            "image_height": 257,
            "name": "zauner-2013-svkinect-.jpg",
            "type": "image/jpeg",
            "size": 13746,
            "path": "Publication:zauner-2013-svkinect",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            913
        ],
        "supervisor": [
            166,
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 329,
                "image_height": 257,
                "name": "zauner-2013-svkinect-.jpg",
                "type": "image/jpeg",
                "size": 13746,
                "path": "Publication:zauner-2013-svkinect",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zauner-2013-svkinect-Report.pdf",
                "type": "application/pdf",
                "size": 150813,
                "path": "Publication:zauner-2013-svkinect",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/zauner-2013-svkinect-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2013/zauner-2013-svkinect/",
        "__class": "Publication"
    },
    {
        "id": "Woerister_2012_ACS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A caching system for a dependency-aware scene graph  ",
        "date": "2012-12",
        "abstract": "Scene graphs are a common way of representing 3-dimensional scenes for graphical applications. A scene is represented as a hierarchical structure of nodes which represent 3D geometry, spatial transformations, surface properties, and other-possibly application specific-aspects. Scene graph systems can be designed to be very generic and flexible, e.g. by allowing users to implement custom node types and traversals or by providing facilities to dynamically create subgraphs during a traversal. This flexibility comes at the cost of increased time spent in pure traversal logic. Especially for CPU-bound applications this causes a performance drop.\r\nThis thesis proposes a scene graph caching system that automatically creates an alternative representation of selected subgraphs. This alternative representation poses a render cache in the form of a so-called instruction stream which allows to render the cached subgraph at lower CPU cost and thus more quickly than with a regular render traversal.\r\nIn order to be able to update render caches incrementally in reaction to certain scene graph changes, a dependency system was developed. This system provides a model for describing and tracking changes in the scene graph and enables the scene graph caching system to update only those parts of the render cache that needs to be updated.\r\nThe actual performance characteristics of the scene graph caching system were investigated using a number of synthetic test scenes in different configurations. These tests showed that the caching system is most useful in scenes with a high structural complexity (high geometry count and/or deep scene graph hierarchies) and moderate primitive count per geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1604,
            "image_height": 805,
            "name": "Woerister_2012_ACS-Image.jpg",
            "type": "image/jpeg",
            "size": 101852,
            "path": "Publication:Woerister_2012_ACS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1086
        ],
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1604,
                "image_height": 805,
                "name": "Woerister_2012_ACS-Image.jpg",
                "type": "image/jpeg",
                "size": 101852,
                "path": "Publication:Woerister_2012_ACS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Woerister_2012_ACS-Poster.pdf",
                "type": "application/pdf",
                "size": 1070504,
                "path": "Publication:Woerister_2012_ACS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Woerister_2012_ACS-Thesis.pdf",
                "type": "application/pdf",
                "size": 6527502,
                "path": "Publication:Woerister_2012_ACS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/Woerister_2012_ACS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Woerister_2012_ACS/",
        "__class": "Publication"
    },
    {
        "id": "Alsallakh_2012_RCW",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data",
        "date": "2012-12",
        "abstract": "Contingency tables summarize the relations between categorical variables and arise in both scientific and business domains. Asymmetrically large two-way contingency tables pose a problem for common visualization methods. The Contingency Wheel has been recently proposed as an interactive visual method to explore and analyze such tables. However, the scalability and readability of this method are limited when dealing with large and dense tables. In this paper we present Contingency Wheel++, new visual analytics methods that overcome these major shortcomings: (1) regarding automated methods, a measure of association based on Pearson's residuals alleviates the bias of the raw residuals originally used, (2) regarding visualization methods, a frequency-based abstraction of the visual elements eliminates overlapping and makes analyzing both positive and negative associations possible, and (3) regarding the interactive exploration environment, a multi-level overview+detail interface enables exploring individual data items that are aggregated in the visualization or in the table using coordinated views. We illustrate the applicability of these new methods with a use case and show how they enable discovering and analyzing nontrivial patterns and associations in large categorical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            734,
            1059,
            966,
            166
        ],
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "12",
        "pages_from": "2849",
        "pages_to": "2858",
        "volume": "18",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6327291",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Alsallakh_2012_RCW/",
        "__class": "Publication"
    },
    {
        "id": "Ribicic_2012_SUS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sketching Uncertainty into Simulations",
        "date": "2012-12",
        "abstract": "In a variety of application areas, the use of simulation steering in decision making is limited at best. Research focusing on this problem suggests that most user interfaces are too complex for the end user. Our goal is to let users create and investigate multiple, alternative scenarios without the need for special simulation expertise. To simplify the specification of parameters, we move from a traditional manipulation of numbers to a sketch-based input approach. Users steer both numeric parameters and parameters with a spatial correspondence by sketching a change onto the rendering. Special visualizations provide immediate visual feedback on how the sketches are transformed into boundary conditions of the simulation models. Since uncertainty with respect to many intertwined parameters plays an important role in planning, we also allow the user to intuitively setup complete value ranges, which are then automatically transformed into ensemble simulations. The interface and the underlying system were developed in collaboration with experts in the field of flood management. The real-world data they have provided has allowed us to construct scenarios used to evaluate the system. These were presented to a variety of flood response personnel, and their feedback is discussed in detail in the paper. The interface was found to be intuitive and relevant, although a certain amount of training might be necessary.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            889,
            798,
            1057,
            1058,
            166
        ],
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "12",
        "pages_from": "2255",
        "pages_to": "2264",
        "volume": "18",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6327230",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ribicic_2012_SUS/",
        "__class": "Publication"
    },
    {
        "id": "SCHERZER-2012-TCM",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Coherence Methods in Real-Time Rendering",
        "date": "2012-12",
        "abstract": "Nowadays, there is a strong trend towards rendering to higher-resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost.\nAlthough graphics cards continue to evolve with an ever-increasing amount of computational power, the speed gain is easily counteracted by increasingly complex and sophisticated shading computations. For real-time applications, the direct consequence is that image resolution and temporal resolution are often the first candidates to bow to the performance constraints (e.g., although full HD is possible, PS3 and XBox often render at lower resolutions).\n\nIn order to achieve high-quality rendering at a lower cost, one can exploit temporal coherence (TC). The underlying observation is that a higher resolution and frame rate do not necessarily imply a much higher workload, but a larger amount of redundancy and a higher potential for amortizing rendering over several frames. In this survey, we investigate methods that make use of this principle and provide practical and theoretical advice on how to exploit temporal coherence for performance optimization. These methods not only allow incorporating more computationally intensive shading effects into many existing applications, but also offer exciting opportunities for extending high-end graphics applications to lower-spec consumer-level hardware. To this end, we first introduce the notion and main concepts of TC, including an overview of historical methods. We then describe a general approach, image-space reprojection, with several implementation algorithms that facilitate reusing shading information across adjacent frames. We also discuss data-reuse quality and performance related to reprojection techniques. Finally, in the second half of this survey, we demonstrate various applications that exploit TC in real-time rendering.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 707,
            "image_height": 530,
            "name": "SCHERZER-2012-TCM-.png",
            "type": "image/png",
            "size": 337791,
            "path": "Publication:SCHERZER-2012-TCM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            868,
            326,
            899,
            900,
            193,
            823
        ],
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "2378",
        "pages_to": "2408",
        "volume": "31",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "remote rendering; sampling",
            "perception-based rendering",
            "occlusion culling",
            "non-photo-realistic rendering",
            "level-of-detail",
            "large data visualization",
            "image-based rendering",
            "global illumination",
            "frame interpolation",
            "anti-aliasing",
            "shadows",
            "streaming",
            "temporal coherance",
            "upsampling"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03075.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 707,
                "image_height": 530,
                "name": "SCHERZER-2012-TCM-.png",
                "type": "image/png",
                "size": 337791,
                "path": "Publication:SCHERZER-2012-TCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/SCHERZER-2012-TCM-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHERZER-2012-TCM/",
        "__class": "Publication"
    },
    {
        "id": "ROESSLER-2012-OGLES",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Interactive Maps on Mobile Devices Using Graphics Hardware",
        "date": "2012-11",
        "abstract": "Mapping and navigation applications on mobile devices such as smart phones or tablets are increasingly popular. Modern maps are often rendered directly from vector data. Since the performance of a previous CPU-based map renderer was unsatisfactory, a hardware accelerated map rendering prototype for mobile devices based on OpenGL ES 2.0 was created. A novel hybrid rendering architecture is introduced to combine the advantages of tile-based and true real time rendering solutions. The architecture consists of a tile server that renders base map tile images and a client to display them. The new third component, the post-processor, draws dynamic map features such as icons and text above the tiles in real time, enabling a 3D fly-over mode. All components run inside the same process directly on the device. For the rendering of lines, an important map feature, a new rending algorithm was developed, enabling to draw lines of arbitrary width with one of three different line cap styles. Additionally the line can be stippled with a user-defined pattern where each line dash is rendered with the selected cap style. Antialiasing of the line is supported with an arbitrary circularly symmetric filter kernel of userdefinable radius. To accelerate icon rendering, a texture atlas is used to store the icons, and a simple but effective packing algorithm has been developed to generate the atlas online.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 960,
            "name": "ROESSLER-2012-OGLES-image.jpg",
            "type": "image/jpeg",
            "size": 413316,
            "path": "Publication:ROESSLER-2012-OGLES",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            795
        ],
        "date_end": "2012-09-30",
        "date_start": "2012-03-27",
        "diploma_examina": "2012-11-19",
        "matrikelnr": "0625652",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 960,
                "name": "ROESSLER-2012-OGLES-image.jpg",
                "type": "image/jpeg",
                "size": 413316,
                "path": "Publication:ROESSLER-2012-OGLES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ROESSLER-2012-OGLES-poster.pdf",
                "type": "application/pdf",
                "size": 5125884,
                "path": "Publication:ROESSLER-2012-OGLES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ROESSLER-2012-OGLES-thesis.pdf",
                "type": "application/pdf",
                "size": 11968572,
                "path": "Publication:ROESSLER-2012-OGLES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/ROESSLER-2012-OGLES-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ROESSLER-2012-OGLES/",
        "__class": "Publication"
    },
    {
        "id": "Ropinski-2012-UBT",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Unified Boundary-Aware Texturing for Interactive Volume Rendering",
        "date": "2012-11",
        "abstract": "In this paper, we describe a novel approach for applying texture mapping to volumetric data sets. In contrast to previous\r\napproaches, the presented technique enables a unified integration of 2D and 3D textures and thus allows to emphasize material\r\nboundaries as well as volumetric regions within a volumetric data set at the same time. One key contribution of this paper is a\r\nparametrization technique for volumetric data sets, which takes into account material boundaries and volumetric regions. Using this\r\ntechnique, the resulting parametrizations of volumetric data sets enable texturing effects which create a higher degree of realism in\r\nvolume rendered images. We evaluate the quality of the parametrization and demonstrate the usefulness of the proposed concepts by\r\ncombining volumetric texturing with volumetric lighting models to generate photorealistic volume renderings. Furthermore, we show the\r\napplicability in the area of illustrative visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Volumetric parametization of a human head volume dataset",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 666,
            "image_height": 918,
            "name": "Ropinski-2012-UBT-Teaser.png",
            "type": "image/png",
            "size": 241980,
            "path": "Publication:Ropinski-2012-UBT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            951,
            952,
            161,
            953,
            166
        ],
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "11",
        "pages_from": "1942",
        "pages_to": "1955",
        "volume": "18",
        "research_areas": [],
        "keywords": [
            "interactive volume rendering",
            "volumetric texturing"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=6104040",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Volumetric parametization of a human head volume dataset",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 666,
                "image_height": 918,
                "name": "Ropinski-2012-UBT-Teaser.png",
                "type": "image/png",
                "size": 241980,
                "path": "Publication:Ropinski-2012-UBT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Demonstration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "Ropinski-2012-UBT-Video.mp4",
                "type": "video/mp4",
                "size": 30822046,
                "path": "Publication:Ropinski-2012-UBT",
                "preview_name": "Ropinski-2012-UBT-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 37387,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/Ropinski-2012-UBT-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ropinski-2012-UBT/",
        "__class": "Publication"
    },
    {
        "id": "scheiblauer-2012-chnt",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graph-based Guidance in Huge Point Clouds",
        "date": "2012-11",
        "abstract": "In recent years the use of remote sensing devices like laser scanners in the documentation of excavation sites or cultural heritage sites has led to huge point cloud models from these sites. These data sets may cover complete sites including galleries, corridors, halls, and open places. Orienting oneself in the point cloud becomes a challenge, if one is not familiar with the layout of the site. Therefore we propose a graph-based guidance system to show tourists round the point cloud models. The tourists can navigate interactively through the point cloud, but they are tied to a predefined 3D graph which represents the possible ways, and which connects the points of interest.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Graph model in point cloud",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1186,
            "image_height": 775,
            "name": "scheiblauer-2012-chnt-image.png",
            "type": "image/png",
            "size": 1021536,
            "path": "Publication:scheiblauer-2012-chnt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            193
        ],
        "booktitle": "Proceedings of the 17th International Conference on Cultural Heritage and New Technologies",
        "date_from": "2012-11-05",
        "date_to": "2012-11-07",
        "isbn": "978-3-200-03281-1",
        "lecturer": [
            614
        ],
        "location": "Vienna, Austria",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "user interface",
            "navigation",
            "point rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Graph model in point cloud",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1186,
                "image_height": 775,
                "name": "scheiblauer-2012-chnt-image.png",
                "type": "image/png",
                "size": 1021536,
                "path": "Publication:scheiblauer-2012-chnt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-image:thumb{{size}}.png"
            },
            {
                "description": "the submitted paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-2012-chnt-paper.pdf",
                "type": "application/pdf",
                "size": 1728455,
                "path": "Publication:scheiblauer-2012-chnt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-paper:thumb{{size}}.png"
            },
            {
                "description": "Slides used for talk",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-2012-chnt-slides.pptx",
                "type": "application/zip",
                "size": 6413441,
                "path": "Publication:scheiblauer-2012-chnt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/scheiblauer-2012-chnt-slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/scheiblauer-2012-chnt/",
        "__class": "Publication"
    },
    {
        "id": "SCHWAERZLER-2012-FAS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Accurate Soft Shadows with Adaptive Light Source Sampling",
        "date": "2012-11",
        "abstract": "Physically accurate soft shadows in 3D applications can be simulated by taking multiple samples from all over the area light source and accumulating them. Due to the unpredictability of the size of the penumbra regions, the required sampling density has to be high in order to guarantee smooth shadow transitions in all cases. Hence, several hundreds of shadow maps have to be evaluated in any scene configuration, making the process computationally expensive. \n\nThus, we suggest an adaptive light source subdivision approach to select the sampling points adaptively. The main idea is to start with a few samples on the area light, evaluating there differences using hardware occlusion queries, and adding more sampling points if necessary.\n\nOur method is capable of selecting and rendering only the samples which contribute to an improved shadow quality,  and hence generate shadows of comparable quality and accuracy.  Even though additional calculation time is needed for the comparison step, this method saves valuable rendering time and achieves interactive to real-time frame rates in many cases where a brute force sampling method does not.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 407,
            "image_height": 248,
            "name": "SCHWAERZLER-2012-FAS-image.png",
            "type": "image/png",
            "size": 175885,
            "path": "Publication:SCHWAERZLER-2012-FAS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678,
            326,
            452,
            193
        ],
        "booktitle": "Proceedings of the 17th International Workshop on Vision, Modeling, and Visualization (VMV 2012)",
        "date_from": "2012-11-12",
        "date_to": "2012-11-14",
        "isbn": "978-3-905673-95-1",
        "lecturer": [
            678
        ],
        "location": "Magdeburg, Germany",
        "pages_from": "39",
        "pages_to": "46",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "soft shadows",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHWAERZLER-2012-FAS-draft.pdf",
                "type": "application/pdf",
                "size": 9496649,
                "path": "Publication:SCHWAERZLER-2012-FAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 407,
                "image_height": 248,
                "name": "SCHWAERZLER-2012-FAS-image.png",
                "type": "image/png",
                "size": 175885,
                "path": "Publication:SCHWAERZLER-2012-FAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHWAERZLER-2012-FAS-slides.pptx",
                "type": "application/zip",
                "size": 50780845,
                "path": "Publication:SCHWAERZLER-2012-FAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "SCHWAERZLER-2012-FAS-video.wmv",
                "type": "application/octet-stream",
                "size": 54909947,
                "path": "Publication:SCHWAERZLER-2012-FAS",
                "preview_name": "SCHWAERZLER-2012-FAS-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 42596,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/SCHWAERZLER-2012-FAS-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/SCHWAERZLER-2012-FAS/",
        "__class": "Publication"
    },
    {
        "id": "knecht_martin_2012_RSMR",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reciprocal Shading for Mixed Reality",
        "date": "2012-11",
        "abstract": "In this paper we present a novel plausible rendering method for mixed reality systems, which is useful for many real-life application scenarios, like architecture, product visualization or edutainment. To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates. The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. In addition, we avoid artifacts like double shadows or inconsistent color bleeding which appear in previous work. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. The scene gets illuminated by virtual point lights, which use imperfect shadow maps to calculate visibility. A sufficiently fast scene reconstruction is done at run-time with Microsoft's Kinect sensor. Thus a time-consuming manual pre-modeling step of the real scene is not necessary. Our results show that the presented method highly improves the illusion in mixed-reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "GraphicalAbstract",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1328,
            "image_height": 531,
            "name": "knecht_martin_2012_RSMR-image.jpg",
            "type": "image/jpeg",
            "size": 441789,
            "path": "Publication:knecht_martin_2012_RSMR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            237,
            326,
            193
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "7",
        "pages_from": "846",
        "pages_to": "856",
        "volume": "36",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Differential rendering",
            "Reconstruction",
            "Instant radiosity",
            "Microsoft Kinect",
            "Real-time global illumination",
            "Mixed reality"
        ],
        "weblinks": [
            {
                "href": "http://www.sciencedirect.com/science/article/pii/S0097849312001148",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin_2012_RSMR-draft.pdf",
                "type": "application/pdf",
                "size": 15824633,
                "path": "Publication:knecht_martin_2012_RSMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-draft:thumb{{size}}.png"
            },
            {
                "description": "GraphicalAbstract",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1328,
                "image_height": 531,
                "name": "knecht_martin_2012_RSMR-image.jpg",
                "type": "image/jpeg",
                "size": 441789,
                "path": "Publication:knecht_martin_2012_RSMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/knecht_martin_2012_RSMR-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_RSMR/",
        "__class": "Publication"
    },
    {
        "id": "Muehlbacher_2012_RRM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Measured Materials",
        "date": "2012-11",
        "abstract": "Interactive walkthroughs of virtual scenes are not only common in fictional settings such as entertainment and video games, but also a popular way of presenting novel architecture,\r\nfurnishings or illumination. Due to the high performance requirements of such\r\ninteractive applications, the presentable detail and quality are limited by the computational\r\nhardware. A realistic appearance of materials is one of the most crucial aspects to scene immersion\r\nduring walkthroughs, and computing it at interactive frame rates is a challenging task.\r\n\r\nIn this thesis an algorithm is presented that achieves the rendering of static scenes featuring\r\nview-dependent materials in real-time. For walkthroughs of static scenes, all light propagation but the last view-dependent bounce can be precomputed and stored as diffuse\r\nirradiance light maps together with the scene geometry. The specular part of reflection and transmission is then computed dynamically by integrating the incident light approximatively\r\naccording to view and local material properties. For this purpose, the incident radiance distribution of each object is approximated by a single static environment map that\r\nis obtained by rendering the light-mapped scene as seen from the object. For large planar reflectors, a mirror rendering is performed every frame to approximate the incident light\r\ndistribution instead of a static environment map. Materials are represented using a parametric\r\nmodel that is particularly suitable for fitting to measured reflectance data. Fitting the parameters of a compact model to material measurements provides a straightforward approach of reproducing light interactions of real-world substances on a screen.\r\n\r\nDuring walkthroughs, the view-dependent part of the local illumination integral is approximated by sampling the representation of incident light while weighting the samples according to the material properties. Noise-free rendering is achieved by reusing the exact same sampling pattern at all pixels of a shaded object, and by filtering the samples using\r\nMIP-maps of the incident light representation. All available samples are regularly placed within the specular lobe to achieve a uniform symmetric coverage of the most important part of the integration domain even when using very few (5-20) samples. Thus, the proposed algorithm\r\nachieves a biased but stable and convincing material appearance at real-time frame rates. It is faster than existing random-based sampling algorithms, as fewer samples suffice\r\nto achieve a smooth and uniform coverage of specular lobes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "Muehlbacher_2012_RRM-Image.png",
            "type": "image/png",
            "size": 332303,
            "path": "Publication:Muehlbacher_2012_RRM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            804
        ],
        "supervisor": [
            193,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "Muehlbacher_2012_RRM-Image.png",
                "type": "image/png",
                "size": 332303,
                "path": "Publication:Muehlbacher_2012_RRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Muehlbacher_2012_RRM-Poster.pdf",
                "type": "application/pdf",
                "size": 8543118,
                "path": "Publication:Muehlbacher_2012_RRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Muehlbacher_2012_RRM-Thesis.pdf",
                "type": "application/pdf",
                "size": 2740424,
                "path": "Publication:Muehlbacher_2012_RRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/Muehlbacher_2012_RRM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RRM/",
        "__class": "Publication"
    },
    {
        "id": "musialski_2012_fice",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Framework for Interactive Image Color Editing",
        "date": "2012-11",
        "abstract": "We propose a new method for interactive image color replacement that creates smooth and naturally looking results with minimal user interaction. Our system expects as input a source image and rawly scribbled target color values and generates high quality results in interactive rates. To achieve this goal we introduce an algorithm that preserves pairwise distances of the signatures in the original image and simultaneously maps the color to the user defined target values. We propose efficient sub-sampling in order to reduce the computational load and adapt semi-supervised locally linear embedding to optimize the constraints in one objective function. We show the application of the algorithm on typical photographs and compare the results to other color replacement methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2061,
            "image_height": 925,
            "name": "musialski_2012_fice-teaser.jpg",
            "type": "image/jpeg",
            "size": 347836,
            "path": "Publication:musialski_2012_fice",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            1032,
            986,
            811,
            194
        ],
        "journal": "The Visual Computer",
        "number": "11",
        "pages_from": "1173",
        "pages_to": "1186",
        "volume": "29",
        "research_areas": [],
        "keywords": [
            "interactive image editing",
            "color manipulation",
            "image processing",
            "recoloring",
            "computational photography"
        ],
        "weblinks": [
            {
                "href": "http://www.springerlink.com/content/q1272h717v1q3262/",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "MATLAB code",
                "filetitle": "code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2012_fice-code.rar",
                "type": "application/x-rar",
                "size": 12828879,
                "path": "Publication:musialski_2012_fice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-code.rar",
                "thumb_image_sizes": []
            },
            {
                "description": "comparison to other methods",
                "filetitle": "comparison",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1157,
                "image_height": 1389,
                "name": "musialski_2012_fice-comparison.jpg",
                "type": "image/jpeg",
                "size": 317713,
                "path": "Publication:musialski_2012_fice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-comparison.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-comparison:thumb{{size}}.png"
            },
            {
                "description": "paper draft [8MB]",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2012_fice-draft.pdf",
                "type": "application/pdf",
                "size": 7897867,
                "path": "Publication:musialski_2012_fice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-draft:thumb{{size}}.png"
            },
            {
                "description": "results of the proposed method",
                "filetitle": "results",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3187,
                "image_height": 2928,
                "name": "musialski_2012_fice-results.jpg",
                "type": "image/jpeg",
                "size": 1035913,
                "path": "Publication:musialski_2012_fice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-results.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-results:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2061,
                "image_height": 925,
                "name": "musialski_2012_fice-teaser.jpg",
                "type": "image/jpeg",
                "size": 347836,
                "path": "Publication:musialski_2012_fice",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/musialski_2012_fice-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2012-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Industrial 3DXCT Data",
        "date": "2012-11",
        "abstract": "Three-dimensional X-ray computed tomography (3DXCT) is a powerful technique for generating a digital 3D volumetric representation of a specimen from a series of 2D X-ray penetration images. The main advantage of 3DXCT is its ability to detect both the interior and the exterior structure of a specimen in one single scan. Having been used in medical diagnostics for a long time, 3DXCT is increasingly employed in industry as a method for nondestructive testing and quality control. One especially challenging industrial application is metrology, which has to fulfill the demands of today’s standards in industrial quality control. 3DXCT facilitates dimensional measurements of internal structures and of inaccessible parts of a component. However the successful industrial application of 3DXCT is constrained by a set of major problems: \nArtifacts: Industrial 3DXCT systems face problems due to various types of artifacts. The appearance of artifacts in the 3DXCT scan data distorts its correlation to the actual evaluated industrial object and can lead to errors in measurements and false analysis results. Some types of artifacts are affected by the placement of a specimen in the scanning device. \nMulti-material components: Another problem is occurring when multi-material components (MMCs) are inspected using industrial 3DXCT. Common industrial MMCs may contain metal parts surrounded by plastic materials. A major problem of this type of components is the presence of metal-caused streaking artifacts and distortions. They are located around metal components and significantly influence the material characterization. Furthermore these streaking artefacts and distortions may even prevent any further analysis (especially for the plastic components).\nMeasurements uncertainty: If metrology using 3DXCT is performed, the location of the specimen surface is estimated using the reconstructed 3D volume data. As opposed to mechanical or optical measurement techniques, the surface is not explicit and has a particular positional uncertainty depending on the artifacts and noise in the scan data and the surface extraction algorithm. Conventional CT metrology software does not account for the uncertainty of the data.\nThis thesis is devoted to the development of techniques overcoming the aforementioned problems of common industrial tasks involving the usage of 3DXCT for nondestructive testing and quality control with a main focus on industrial 3DXCT metrology. Several novel contributions utilizing visualization techniques and visual analysis methods were implemented in integrated tools assisting typical industrial 3DXCT tasks during different stages of the data pipeline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "teaser",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 888,
            "image_height": 1789,
            "name": "amirkhanov-2012-thesis-teaser.jpg",
            "type": "image/jpeg",
            "size": 210860,
            "path": "Publication:amirkhanov-2012-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817
        ],
        "co_supervisor": [
            611
        ],
        "duration": "3 years",
        "reviewer_1": [
            591
        ],
        "rigorosum": "2012-11-08",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "pdf",
                "filetitle": "dissertation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2012-thesis-dissertation.pdf",
                "type": "application/pdf",
                "size": 20111666,
                "path": "Publication:amirkhanov-2012-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-dissertation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-dissertation:thumb{{size}}.png"
            },
            {
                "description": "pptx",
                "filetitle": "presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2012-thesis-presentation.pptx",
                "type": "application/zip",
                "size": 45276239,
                "path": "Publication:amirkhanov-2012-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "teaser",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 888,
                "image_height": 1789,
                "name": "amirkhanov-2012-thesis-teaser.jpg",
                "type": "image/jpeg",
                "size": 210860,
                "path": "Publication:amirkhanov-2012-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/amirkhanov-2012-thesis-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/amirkhanov-2012-thesis/",
        "__class": "Publication"
    },
    {
        "id": "celarek_adam-2012-rrmro",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Merging Ray Tracing and Rasterization in Mixed Reality",
        "date": "2012-11",
        "abstract": "In mixed reality, virtual objects are inserted into a video stream of a real environment. This technique can be used for many applications including marketing, simulations and cultural heritage. Therefore it is important that the images look plausible. Many applications also have real time constraints.\r\nWith traditional rasterization it is difficult to create realistic reflections and refractions. In ray tracing on the other hand this is a trivial task, but rendering is slow. The solution described in this work uses the graphics card for speeding up ray tracing. Additionally it employs a rasterizer for diffuse surfaces and only traces rays if there is a reflective or refractive surface visible. This works by creating a ray tracing mask using the fast rasterizer in a first step. It holds true for reflective or refractive surfaces and false otherwise. Then all diffuse objects are drawn using the rasterizer. Finally rays are traced on each pixel which is masked as reflective or refractive surface by the ray tracing mask. These rays produce secondary rays which can hit a diffuse surface eventually. In this case the ray tracer takes over the shading. \r\nResults show, that our hybrid rendering method allows high quality reflections and refractions while still having interactive frame rates in mixed reality scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image 2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "celarek_adam-2012-rrmro-image 2.jpg",
            "type": "image/jpeg",
            "size": 243591,
            "path": "Publication:celarek_adam-2012-rrmro",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1013
        ],
        "date_end": "2012-11-30",
        "date_start": "2012-03-01",
        "matrikelnr": "0926881",
        "supervisor": [
            193,
            736
        ],
        "research_areas": [],
        "keywords": [
            "Refraction",
            "OptiX",
            "Augmented Reality",
            "Reflection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image 2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "celarek_adam-2012-rrmro-image 2.jpg",
                "type": "image/jpeg",
                "size": 243591,
                "path": "Publication:celarek_adam-2012-rrmro",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-image 2:thumb{{size}}.png"
            },
            {
                "description": "Bachelor Thesis",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "celarek_adam-2012-rrmro-paper.pdf",
                "type": "application/pdf",
                "size": 7983231,
                "path": "Publication:celarek_adam-2012-rrmro",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/celarek_adam-2012-rrmro-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/celarek_adam-2012-rrmro/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2012-IOM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illumination-Driven Opacity Modulation for Expressive Volume Rendering",
        "date": "2012-11",
        "abstract": "Using classical volume visualization, typically a couple of isosurface layers are rendered semi-transparently to show the internal structures contained in the data. However, the opacity transfer function is often difficult to specify such that all the isosurfaces are of high contrast and sufficiently perceivable. In this paper, we propose a volumerendering technique which ensures that the different layers contribute to fairly different regions of the image space. Since the overlapping between the effected regions is reduced, an outer translucent isosurface does not decrease significantly the contrast of a partially hidden inner isosurface. Therefore, the layers of the data become visually well separated. Traditional transfer functions assign color and opacity values to the voxels depending on the density and the gradient. In contrast, we assign also different illumination directions to different materials, and modulate the opacities view-dependently based on the surface normals and the directions of the light sources, which are fixed to the viewing angle. We will demonstrate that this model allows an expressive visualization of volumetric data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser image",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1000,
            "image_height": 1000,
            "name": "Csebfalvi-2012-IOM-Teaser.jpg",
            "type": "image/jpeg",
            "size": 79594,
            "path": "Publication:Csebfalvi-2012-IOM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            1070,
            161,
            166
        ],
        "booktitle": "Proceedings of Vision, Modeling & Visualization 2012",
        "date_from": "2012-11-12",
        "date_to": "2012-11-14",
        "lecturer": [
            233
        ],
        "location": "Magdeburg, Germany",
        "pages_from": "103",
        "pages_to": "109",
        "research_areas": [],
        "keywords": [
            "illustrative visualization",
            "illumination",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Illumination-driven opacity modulation in direct volume rendering",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Csebfalvi-2012-IOM-Paper.pdf",
                "type": "application/pdf",
                "size": 13301159,
                "path": "Publication:Csebfalvi-2012-IOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Paper:thumb{{size}}.png"
            },
            {
                "description": "Teaser image",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 1000,
                "name": "Csebfalvi-2012-IOM-Teaser.jpg",
                "type": "image/jpeg",
                "size": 79594,
                "path": "Publication:Csebfalvi-2012-IOM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Demonstration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "Csebfalvi-2012-IOM-Video.avi",
                "type": "video/x-msvideo",
                "size": 4830850,
                "path": "Publication:Csebfalvi-2012-IOM",
                "preview_name": "Csebfalvi-2012-IOM-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30628,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/Csebfalvi-2012-IOM-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Csebfalvi-2012-IOM/",
        "__class": "Publication"
    },
    {
        "id": "Felberbauer_2012_AG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Games with Purpose - Improving 3D Model and Land Cover Data using Crowdsourcing",
        "date": "2012-11",
        "abstract": "A variety of 3D-model databases are available on the internet, but the process of finding the right models is often tiring. This is because the majority of the available models is barely annotated or the quality is low. Annotations often are ambiguous, vague or too specialized. Besides 3Dmodel annotations, remote sensing data can be ambiguous too. Global land cover maps like GlobCover, MODIS and GLC2000 show large differences in certain areas of the world. This lack of correct data is a problem, because it is a basic requirement for a variety of research areas and applications.\r\n\r\nConsequently, this thesis aims at tackling both aforementioned problems. The task of recognizing and classifying images as well as 3D-models is easy to solve for human beings, but even today rather hard for computer systems. For that reason, this thesis makes use of the concepts of crowdsourcing. The quality of user annotations can be improved by collecting annotations from a variety of users and extract those with the highest frequency. To achieve this, a game has been implemented that unifies crowdsourcing and social games mechanics. This game consists of game-rounds which lead the user through the process of annotating 3D-models as well as land cover data. Also, a drawing round has been implemented to enable the user to classify a given land cover area using a pre-defined set of categories. As crowdsourcing is related to a large number of users, the focus is on implementing a game that provides incentives for users to spend their free time on playing, while solving useful tasks. To reach as many users as possible, the game has been implemented using only HTML5 and JavaScript to circumvent limitations due to missing plugins or external players and to support all systems, including mobile devices. It is also integrated into Facebook to further enlarge the number of reachable users.\r\n\r\nThe potential of the approach is demonstrated on the basis of a user study. The results show that the annotations with the highest frequency are good descriptors for the underlying 3D-models as well as for the land cover maps. None of the top annotations are incorrect for any model or map. Analyzing the user paintings also shows very good results. The majority of maps were classified correctly and even the distribution of categories over the maps are correct to a high degree. We thus show, that the combination of crowdsourcing and social games can improve land cover data and 3D-model annotations. These insights contribute to the ongoing Landspotting project, which is further explained in this thesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1279,
            "image_height": 855,
            "name": "Felberbauer_2012_AG-image.jpg",
            "type": "image/jpeg",
            "size": 104358,
            "path": "Publication:Felberbauer_2012_AG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1005
        ],
        "date_end": "2012-09-30",
        "date_start": "2012-03-30",
        "matrikelnr": "0625034",
        "supervisor": [
            808,
            909,
            193
        ],
        "research_areas": [],
        "keywords": [
            "social games",
            "games with purpose"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1279,
                "image_height": 855,
                "name": "Felberbauer_2012_AG-image.jpg",
                "type": "image/jpeg",
                "size": 104358,
                "path": "Publication:Felberbauer_2012_AG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Felberbauer_2012_AG-poster.pdf",
                "type": "application/pdf",
                "size": 15727644,
                "path": "Publication:Felberbauer_2012_AG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Felberbauer_2012_AG-thesis.pdf",
                "type": "application/pdf",
                "size": 21396247,
                "path": "Publication:Felberbauer_2012_AG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/Felberbauer_2012_AG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Felberbauer_2012_AG/",
        "__class": "Publication"
    },
    {
        "id": "VisWeek-Tutorial-2012-Uncertainty",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE VisWeek 2012 Tutorial on Uncertainty and Parameter Space Analysis in Visualization",
        "date": "2012-10-15",
        "abstract": "Within the past decades visualization advanced to a powerful means of exploring and analyzing data. Recent developments in both hard- and software contributed to previously unthinkable evaluations and visualizations of data with strongly increasing sizes and levels of complexity.\r\n\r\nProviding just insight into available data of a problem seems not to be sufficient anymore: Uncertainty and parameter space analyses in visualization are becoming more prevalent and may be found in astronomic, (bio)-medical, industrial, and engineering applications. The major goal is to find out, at which stage of the pipeline - from data acquisition to the final rendering of the output image - how much uncertainty is introduced and consequently how the desired result (e.g., a dimensional measurement feature) is affected. Therefore effective methods and techniques are required by domain specialists, which help to understand how data is generated, how reliable is the generated data, and where and why data is uncertain.\r\n\r\nFurthermore, as the problems to investigate are becoming increasingly complex, also finding suitable algorithms providing the desired solution tends to be more difficult. Additional questions may arise, e.g., how does a slight parameter change modify the result, how stable is a parameter, in which range is a parameter stable or which parameter set is optimal for a specific problem. Metaphorically speaking, an algorithm for solving a problem may be seen as finding a path through some rugged terrain (the core problem) ranging from the high grounds of theory to the haunted swamps of heuristics. There are many different paths through this terrain with different levels of comfort, length, and stability. Finding all possible paths corresponds in our case to doing an analysis of all possible parameters of a problem solving algorithm, which yields a typically multi-dimensional parameter space. This parameter space allows for an analysis of the quality and stability of a specific parameter set.\r\nIn many cases of conventional visualization approaches the issues of uncertainty and parameter space analyses are neglected. For a long time, uncertainty - if visualized at all - used to be depicted as blurred data. But in most cases the uncertainty in the base data is not considered at all and just the quantities of interest are calculated. And even to calculate these quantities of interest, too often an empirically found parameter set is used to parameterize the underlying algorithms without exploring its sensitivity to changes and without exploring the whole parameter space to find the global or a local optimum.\r\n\r\nThis tutorial aims to open minds and to look at our data and the parameter sets of our algorithms with a healthy skepticism. In the tutorial we combine uncertainty visualization and parameter space analyses which we believe is essential for the acceptance and applicability of future algorithms and techniques. The tutorial provides six sessions starting with an overview of uncertainty visualization including a historical perspective, uncertainty modeling and statistical visualization. The second part of the tutorial will be dedicated to structural uncertainty, parameter space analysis, industrial applications of uncertainty visualization and an outlook in this domain.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Uncertainty visualization",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 773,
            "image_height": 776,
            "name": "VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg",
            "type": "image/jpeg",
            "size": 156287,
            "path": "Publication:VisWeek-Tutorial-2012-Uncertainty",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            161,
            166,
            650,
            1026,
            1027,
            1028,
            1029,
            196
        ],
        "event": "IEEE VisWeek",
        "lecturer": [
            611,
            161,
            166,
            650,
            1026,
            1027,
            1028,
            1029,
            196
        ],
        "location": "Seattle, WA, USA",
        "research_areas": [],
        "keywords": [
            "uncertainty visualization",
            "parameter space analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Uncertainty visualization",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 773,
                "image_height": 776,
                "name": "VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg",
                "type": "image/jpeg",
                "size": 156287,
                "path": "Publication:VisWeek-Tutorial-2012-Uncertainty",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Speaker biographies and abstract",
                "filetitle": "Tutorial overview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "VisWeek-Tutorial-2012-Uncertainty-Tutorial overview.pdf",
                "type": "application/pdf",
                "size": 132769,
                "path": "Publication:VisWeek-Tutorial-2012-Uncertainty",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Tutorial overview.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/VisWeek-Tutorial-2012-Uncertainty-Tutorial overview:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/VisWeek-Tutorial-2012-Uncertainty/",
        "__class": "Publication"
    },
    {
        "id": "varchola_andrej-2012-fetoscopic",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Live Fetoscopic Visualization of 4D Ultrasound Data",
        "date": "2012-10",
        "abstract": "Ultrasound (US) imaging is due to its real-time character, low cost, non-invasive nature, high availability, and many other factors, considered a standard diagnostic procedure during pregnancy. The quality of diagnostics depends on many factors, including scanning protocol, data characteristics and visualization algorithms. In this work, several problems of ultrasound data visualization for obstetric ultrasound imaging are discussed and addressed.\r\n\r\nThe capability of ultrasound scanners is growing and modern ultrasound devices produce large amounts of data that have to be processed in real-time. An ultrasound imaging system is in a broad sense a pipeline of several operations and visualization algorithms. Individual algorithms are usually organized in modules that separately process the data. In order to achieve the required level of detail and high quality images with the visualization pipeline, we had to address the flow of large amounts of data on modern computer hardware with limited capacity. We developed a novel architecture of visualization pipeline for ultrasound imaging. This visualization pipeline combines several algorithms, which are described in this work, into the integrated system. In the context of this pipeline, we advocate slice-based streaming as a possible approach for the large data flow problem.\r\n\r\nLive examination of the moving fetus from ultrasound data is a challenging task which requires extensive knowledge of the fetal anatomy and a proficient operation of the ultrasound machine. The fetus is typically occluded by structures which hamper the view in 3D rendered images. We developed a novel method of visualizing the human fetus for prenatal sonography from 3D/4D ultrasound data. It is a fully automatic method that can recognize and render the fetus without occlusion, where the highest priority is to achieve an unobstructed view of the fetal face. Our smart visibility method for prenatal ultrasound is based on a ray-analysis performed within image-based direct volume rendering (DVR). It automatically calculates a clipping surface that removes the uninteresting structures and uncovers the interesting structures of the fetal anatomy behind. The method is able to work with the data streamed on-the-fly from the ultrasound transducer and to visualize a temporal sequence of reconstructed ultrasound data in real time. It has the potential to minimize the interaction of the operator and to improve the comfort of patients by decreasing the investigation time. This can lead to an increased confidence in the prenatal diagnosis with 3D ultrasound and eventually decrease the costs of the investigation.\r\n\r\nUltrasound scanning is very popular among parents who are interested in the health condition of their fetus during pregnancy. Parents usually want to keep the ultrasound images as a memory for the future. Furthermore, convincing images are important for the confident communication of findings between clinicians and parents. Current ultrasound devices offer advanced imaging capabilities, but common visualization methods for volumetric data only provide limited visual fidelity. The standard methods render only images with a plastic-like appearance which do not correspond to naturally looking fetuses. This is partly due to the dynamic and noisy nature of the data which limits the applicability of standard volume visualization techniques. In this thesis, we present a fetoscopic rendering method which aims to reproduce the quality of fetoscopic examinations (i.e., physical endoscopy of the uterus) from 4D sonography data. Based on the requirements of domain experts and the constraints of live ultrasound imaging, we developed a method for high-quality rendering of prenatal examinations. We employ a realistic illumination model which supports shadows, movable light sources, and realistic rendering of the human skin to provide an immersive experience for physicians and parents alike. Beyond aesthetic aspects, the resulting visualizations have also promising diagnostic applications. The presented fetoscopic rendering method has been successfully integrated in the state-of-the-art ultrasound imaging systems of GE Healthcare as HDlive imaging tool. It is daily used in many prenatal imaging centers around the world.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 705,
            "image_height": 751,
            "name": "varchola_andrej-2012-fetoscopic-.png",
            "type": "image/png",
            "size": 796596,
            "path": "Publication:varchola_andrej-2012-fetoscopic",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            806
        ],
        "date_end": "2012-09",
        "date_start": "2009-09",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            693
        ],
        "rigorosum": "2012-10-24",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "ultrasound",
            "volume rendering",
            "medical imaging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 705,
                "image_height": 751,
                "name": "varchola_andrej-2012-fetoscopic-.png",
                "type": "image/png",
                "size": 796596,
                "path": "Publication:varchola_andrej-2012-fetoscopic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "varchola_andrej-2012-fetoscopic-Thesis.pdf",
                "type": "application/pdf",
                "size": 24449258,
                "path": "Publication:varchola_andrej-2012-fetoscopic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/varchola_andrej-2012-fetoscopic-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "avr"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/varchola_andrej-2012-fetoscopic/",
        "__class": "Publication"
    },
    {
        "id": "Voglsam_2012_RTR",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real time Ray tracing on the GPU using CUDA and kD-Trees",
        "date": "2012-10",
        "abstract": "Ray tracing is a well known rendering method in computer graphics, invented in the late 1970s. It was considered to be an offline rendering algorithm due to it's long rendering times. However, thanks to the power of graphics cards and their massively parallel architecture, ray tracing became possible in real time during the last years.\r\n\r\nIn this diploma thesis, a CUDA library for the Aardvark rendering engine was implemented, and on top of that, a real time CUDA ray tracer. In this talk, the results of the thesis will be presented. ",
        "authors_et_al": false,
        "substitute": "Voglsam_2013_RRT",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1039
        ],
        "date_start": "2012-01-01",
        "matrikelnr": "9955844",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Voglsam_2012_RTR/",
        "__class": "Publication"
    },
    {
        "id": "hecher-2012-MH",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparative Perceptual Study of Soft Shadow Algorithms",
        "date": "2012-10",
        "abstract": "While a huge body of soft shadow algorithms has been proposed, there has been no methodical study for comparing different real-time shadowing algorithms with respect to their plausibility and visual appearance. Therefore, a study was designed to identify and evaluate scene properties with respect to their relevance to shadow quality perception. Since there are so many factors that might influence perception of soft shadows (e.g., complexity of objects, movement, and textures), the study was designed and executed in a way on which future work can build on. The evaluation concept not only captures the predominant case of an untrained user experiencing shadows without comparing them to a reference solution, but also the cases of trained and experienced users. We achieve this by reusing the knowledge users gain during the study. Moreover, we thought that the common approach of a two-option forced-choice-study can be frustrating for participants when both choices are so similar that people think they are the same. To tackle this problem a neutral option was provided. For time-consuming studies, where frustrated participants tend to arbitrary choices, this is a useful concept. Speaking with participants after the study and evaluating the results, supports our choice for a third option. The results are helpful to guide the design of future shadow algorithms and allow researchers to evaluate algorithms more effectively. They also allow developers to make better performance versus quality decisions for their applications. One important result of this study is that we can scientifically verify that, without comparison to a reference solution, the human perception is relatively indifferent to a correct soft shadow. Hence, a simple but robust soft shadow algorithm is the better choice in real-world situations. Another finding is that approximating contact hardening in soft shadows is sufficient for the average user and not significantly worse for experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The block design of our study.",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2689,
            "image_height": 1489,
            "name": "hecher-2012-MH-Image.jpg",
            "type": "image/jpeg",
            "size": 262303,
            "path": "Publication:hecher-2012-MH",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            779
        ],
        "date_start": "2012-01-01",
        "diploma_examina": "2012-10-09",
        "matrikelnr": "0625134",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Perception",
            "Rendering"
        ],
        "keywords": [
            "Perception Studies",
            "Soft Shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The block design of our study.",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2689,
                "image_height": 1489,
                "name": "hecher-2012-MH-Image.jpg",
                "type": "image/jpeg",
                "size": 262303,
                "path": "Publication:hecher-2012-MH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 180,
                "preview_image_height": 256,
                "name": "hecher-2012-MH-poster.pdf",
                "type": "application/pdf",
                "size": 3821052,
                "path": "Publication:hecher-2012-MH",
                "preview_name": "hecher-2012-MH-poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 71741,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-poster:thumb{{size}}.png"
            },
            {
                "description": "A Comparative Perceptual Study of Soft Shadow Algorithms.pdf",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 2689,
                "preview_image_height": 1489,
                "name": "hecher-2012-MH-thesis.pdf",
                "type": "application/pdf",
                "size": 6912872,
                "path": "Publication:hecher-2012-MH",
                "preview_name": "hecher-2012-MH-thesis:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 262303,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/hecher-2012-MH-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/hecher-2012-MH/",
        "__class": "Publication"
    },
    {
        "id": "MAESTRI-2012-MRW",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "SPEX: Visualisieren von 3D-Brillenmodellen im Browser mittels WebGL",
        "date": "2012-10",
        "abstract": "Diese Arbeit dokumentiert den Online-Teil der Spex Applikation, ein Projekt, welches durch\r\ndie Kollaboration von JFPartners und der Technischen Universität Wien entstanden ist. Spex\r\nsoll die Möglichkeit bieten, virtuelle 3-dimensionale Brillenmodelle auf Fotos von Kunden\r\nzu rendern. Dadurch können Kunden Brillenmodelle aus Onlinekatalogen anprobieren, ohne\r\ndass der Verkäufer alle Brillen auf Lager haben muss. Die Technologie, die zum Rendern der\r\n3-dimensionalen Szene im Browser verwendet wurde, heißt WebGL, ein neuer Standard der\r\nKhronos-Gruppe, der dem Browser Zugriff auf die Grafikkarte anbietet. Vorteile des WebGL\r\nsind, dass er mittlerweile von den meisten Browsern unterstützt wird und dass die gesamte Berechnung\r\nder Szene auf der Grafikkarte des Clients läuft. Dadurch entfällt Last am Server.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "MAESTRI-2012-MRW-image.jpg",
            "type": "image/jpeg",
            "size": 79056,
            "path": "Publication:MAESTRI-2012-MRW",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1053
        ],
        "date_start": "2012-11-15",
        "matrikelnr": "0926939",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "WebGL"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "MAESTRI-2012-MRW-image.jpg",
                "type": "image/jpeg",
                "size": 79056,
                "path": "Publication:MAESTRI-2012-MRW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MAESTRI-2012-MRW-thesis.pdf",
                "type": "application/pdf",
                "size": 656765,
                "path": "Publication:MAESTRI-2012-MRW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/MAESTRI-2012-MRW-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MAESTRI-2012-MRW/",
        "__class": "Publication"
    },
    {
        "id": "spelitz_stefan-2012-CDTFMR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Distribution Transfer For Mixed-Reality Applications",
        "date": "2012-10",
        "abstract": "In mixed-reality environments it is essential to integrate virtual objects seamlessly into a real scene. Virtual objects should have similar appearances to those of real objects captured by a video camera. This is useful for many real-life application scenarios, including product advertising and visualization, edutainment systems or for enhancing cultural heritage sites.\r\n\r\nTypical problems in this domain are to match the current ‘color mood’ of the video camera scene with the colors of virtual (rendered) objects. The color mood depends on the global illumination conditions as well as the hue, saturation or white balance settings of the camera.\r\n\r\nThe aim of this paper is to integrate existing methods of histogram transfers used in the domain of computational photography into mixed-reality environments. These methods allow us to simulate current luminance conditions in the scene and changes in the camera driver settings to apply them onto virtual objects.\r\n\r\nThis thesis contains two fast-running approaches to provide a color mapping between virtual objects and the real scene, which can be used in real-time applications. The results show that these methods increase the immersion of virtual objects in a real scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1039,
            "image_height": 748,
            "name": "spelitz_stefan-2012-CDTFMR-image.jpg",
            "type": "image/jpeg",
            "size": 665376,
            "path": "Publication:spelitz_stefan-2012-CDTFMR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1015
        ],
        "date_end": "2012-10-10",
        "date_start": "2012-03-01",
        "matrikelnr": "0925601",
        "supervisor": [
            193,
            736
        ],
        "research_areas": [],
        "keywords": [
            "Augmented Reality",
            "Color Transfer"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1039,
                "image_height": 748,
                "name": "spelitz_stefan-2012-CDTFMR-image.jpg",
                "type": "image/jpeg",
                "size": 665376,
                "path": "Publication:spelitz_stefan-2012-CDTFMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spelitz_stefan-2012-CDTFMR-thesis.pdf",
                "type": "application/pdf",
                "size": 5816767,
                "path": "Publication:spelitz_stefan-2012-CDTFMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/spelitz_stefan-2012-CDTFMR-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/spelitz_stefan-2012-CDTFMR/",
        "__class": "Publication"
    },
    {
        "id": "Stabel_2012_UDM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "User-driven Manipulation of Geospatial Data",
        "date": "2012-10",
        "abstract": "A WebGIS is an application designed to store, analyze, manage and present geographical data.\r\nIt provides tools which support users to explore and understand the underlying data. Depending\r\non the datasource (raster or vector data), these tools are varying. Many more styling options for\r\nvector data than for raster data exist. This is because of the position information of vector data\r\nwhich allows the system to apply a wider range of styling features.\r\nThis thesis is about user-driven manipulation of geospatial data and is part of the ESA DUE\r\nPermafrost project. It should help users to navigate through remote sensed data and to explore\r\nrelevant features of it. Therefore it introduces methods to change the visualization of the data\r\nwithin a WebGIS by assigning different style profiles at runtime. The reference implementation\r\nis based on a specific software arrangement. The data is managed by GeoServer, an open source\r\nsoftware server with the capability to edit and share geospatial data. To get a visual representation,\r\nGeoServer applies a Styled Layer Descriptor (SLD) on the data. A SLD is an XML based\r\nlanguage and describes the appearance of associated layers. Modifying the SLD enables to influence\r\nthe layer appearance. Since the data of the ESA DUE Permafrost project is of type raster\r\nonly, this work concentrates on tools for styling raster data.\r\nAs a result of this work, an interactive legend is introduced. It is a user interface and manipulates\r\nthe SLD at runtime according to the user settings. This gives the user the capability to\r\nhighlight areas of interest based on the underlying data. The user interface also acts as a color\r\nlegend for the displayed data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Stabel_2012_UDM-Thesis.pdf",
            "type": "application/pdf",
            "size": 10023299,
            "path": "Publication:Stabel_2012_UDM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1060
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stabel_2012_UDM-Poster.pdf",
                "type": "application/pdf",
                "size": 4214078,
                "path": "Publication:Stabel_2012_UDM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stabel_2012_UDM-Thesis.pdf",
                "type": "application/pdf",
                "size": 10023299,
                "path": "Publication:Stabel_2012_UDM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/Stabel_2012_UDM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Stabel_2012_UDM/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2012-ssv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Super Views - A Knowledge-Assisted Interface for Medical Visualization",
        "date": "2012-10",
        "abstract": "Due to the ever growing volume of acquired data and information, users have to be constantly aware of the methods for their exploration and for interaction. Of these, not each might be applicable to the data at hand or might reveal the desired result. Owing to this, innovations may be used inappropriately and users may become skeptical. In this paper we propose a knowledge-assisted interface for medical visualization, which reduces the necessary effort to use new visualization methods, by providing only the most relevant ones in a smart way. Consequently, we are able to expand such a system with innovations without the users to worry about when, where, and especially how they may or should use them. We present an application of our system in the medical domain and give qualitative feedback from domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1803,
            "image_height": 297,
            "name": "mistelbauer-2012-ssv-image.png",
            "type": "image/png",
            "size": 634843,
            "path": "Publication:mistelbauer-2012-ssv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869,
            902,
            1047,
            1049,
            169,
            161,
            170,
            166
        ],
        "booktitle": "IEEE Conference on Visual Analytics Science and Technology (IEEE VAST) 2012",
        "date_from": "2012-10-14",
        "date_to": "2012-10-19",
        "lecturer": [
            869
        ],
        "location": "Seattle, WA, USA",
        "pages_from": "163",
        "pages_to": "172",
        "publisher": "IEEE Computer Society",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Demo video (37 MB).",
                "filetitle": "demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "mistelbauer-2012-ssv-demo.avi",
                "type": "video/x-msvideo",
                "size": 37249480,
                "path": "Publication:mistelbauer-2012-ssv",
                "preview_name": "mistelbauer-2012-ssv-demo:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 36086,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-demo:video.mp4"
            },
            {
                "description": "Fast forward (4 MB).",
                "filetitle": "fastforward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "mistelbauer-2012-ssv-fastforward.wmv",
                "type": "application/octet-stream",
                "size": 4326014,
                "path": "Publication:mistelbauer-2012-ssv",
                "preview_name": "mistelbauer-2012-ssv-fastforward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14944,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-fastforward.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-fastforward:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1803,
                "image_height": 297,
                "name": "mistelbauer-2012-ssv-image.png",
                "type": "image/png",
                "size": 634843,
                "path": "Publication:mistelbauer-2012-ssv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-image:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2012-ssv-paper.pdf",
                "type": "application/pdf",
                "size": 7063568,
                "path": "Publication:mistelbauer-2012-ssv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-paper:thumb{{size}}.png"
            },
            {
                "description": "If-then rules for the fuzzy inference system.",
                "filetitle": "rules",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2012-ssv-rules.pdf",
                "type": "application/pdf",
                "size": 280029,
                "path": "Publication:mistelbauer-2012-ssv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-rules.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/mistelbauer-2012-ssv-rules:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-ssv/",
        "__class": "Publication"
    },
    {
        "id": "Muehlbacher_2012_RTR",
        "type_id": "archiveproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Measured Materials",
        "date": "2012-10",
        "abstract": "Interactive walkthroughs of virtual scenes are a popular way of presenting novel architecture, furnishings or illumination. A realistic material appearance is crucial to scene immersion during such walkthroughs, and computing it at interactive frame rates is a challenging task. In my thesis I present an algorithm that achieves the rendering of static scenes featuring view-dependent materials in real-time. A parametric model is fitted to measured reflectance data to obtain a quantification of real-world scattering properties. The virtual material appearance is then dynamically computed during walkthroughs by sampling the representations of local incident light (e.g. cube maps) while weighting the samples according to the local material properties. The main contributions of the thesis are:\r\n- a deterministic sample placement strategy to approximate the view-dependent illumination integral using very few samples in real-time\r\n- an extension of the used material model to represent transmission additionally to reflection\r\n- a transformation scheme that maps angular sampling directions to sampling positions within a planar mirror rendering buffer, allowing the use of this alternative incident light representation for large planar reflectors .",
        "authors_et_al": false,
        "substitute": "Muehlbacher_2012_RRM",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            804
        ],
        "date_start": "2012-01-01",
        "matrikelnr": "0625075",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Muehlbacher_2012_RTR/",
        "__class": "Publication"
    },
    {
        "id": "Pajer_2012_VoM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization Of Multivariate Networks",
        "date": "2012-10",
        "abstract": "Multivariate networks are graphs, which consist of a set of nodes and a set of connections between these nodes, that have additional data dimensions for each node and/or connection. Such multivariate graphs are prevalent in a number of di\u000berent fields, including\r\nbiological systems and social sciences.\r\n\r\nIn this thesis, an existing linked-view system for analyzing multivariate data has been extended for the analysis of networks. A node-link view has been implemented to give an overview of the graph. To leverage existing visualizations, additional data about\r\nthe structure of the network can be added to the nodes and analyzed with views designed for unconnected multivariate data. Another contribution is a novel visualization that\r\nsupports the study of queries concerning relationships between \r\n\u000bdifferent groups of nodes in a network.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1017,
            "image_height": 877,
            "name": "Pajer_2012_VoM-Image.jpg",
            "type": "image/jpeg",
            "size": 71850,
            "path": "Publication:Pajer_2012_VoM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            657
        ],
        "supervisor": [
            166,
            451
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1017,
                "image_height": 877,
                "name": "Pajer_2012_VoM-Image.jpg",
                "type": "image/jpeg",
                "size": 71850,
                "path": "Publication:Pajer_2012_VoM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pajer_2012_VoM-Poster.pdf",
                "type": "application/pdf",
                "size": 333784,
                "path": "Publication:Pajer_2012_VoM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pajer_2012_VoM-Thesis.pdf",
                "type": "application/pdf",
                "size": 11692682,
                "path": "Publication:Pajer_2012_VoM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/Pajer_2012_VoM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Pajer_2012_VoM/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2012_GeigerCam",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "GeigerCam: Measuring Radioactivity with Webcams",
        "date": "2012-08",
        "abstract": "Measuring radioactivity is almost exclusively a professional task in the realms of science, industry and defense, but recent events spur the interest in low-cost consumer detection devices. We show that by using image processing techniques, a current, only slightly modified, off-the-shelf HD webcam can be used to measure alpha, beta as well as gamma radiation. In contrast to dedicated measurement devices such as Geiger counters, our framework can classify the type of radiation and can differentiate between various kinds of radioactive materials.\n\nBy optically insulating the camera's imaging sensor, recordings at extreme exposure and gain values are possible, and the partly very faint signals detectable. The camera is set to the longest exposure time possible and to a very high gain to detect even faint signals. During measurements, GPU assisted real-time image processing of the direct video feed is used to treat the remaining noise by tracking the noise spectrum per pixel, incorporating not only spatial but also temporal variations due to temperature changes and spontaneous emissions. A confidence value per pixel based on event probabilities is calculated to identify potentially hit pixels. Finally, we use morphological clustering to group pixels into particle impact events and analyze their energies.\n\nOur approach results in a simple device that can be operated on any computer and costs only $20-30, an order of magnitude cheaper than entry-level nuclear radiation detectors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Logo",
            "filetitle": "Logo",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 3543,
            "image_height": 3306,
            "name": "Auzinger_2012_GeigerCam-Logo.jpg",
            "type": "image/jpeg",
            "size": 1129557,
            "path": "Publication:Auzinger_2012_GeigerCam",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Logo.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Logo:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            618,
            1020,
            1021,
            193
        ],
        "address": "New York, NY, USA",
        "booktitle": "ACM SIGGRAPH 2012 Posters",
        "date_from": "2012-08-05",
        "date_to": "2012-08-09",
        "editor": "Dan Wexler",
        "event": "ACM SIGGRAPH 2012",
        "isbn": "978-1-4503-1682-8",
        "location": "Los Angeles, CA",
        "pages_from": "40:1",
        "pages_to": "40:1",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "radioactivity",
            "webcam",
            "measurement"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "An illustrated how-to guide to convert an HD webcam into a radioactivity detector. Used as handout at the conference demonstration.",
                "filetitle": "Handout",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 167,
                "preview_image_height": 117,
                "name": "Auzinger_2012_GeigerCam-Handout.pdf",
                "type": "application/pdf",
                "size": 724110,
                "path": "Publication:Auzinger_2012_GeigerCam",
                "preview_name": "Auzinger_2012_GeigerCam-Handout:preview.png",
                "preview_type": "image/png",
                "preview_size": 21994,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Handout.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Handout:thumb{{size}}.png"
            },
            {
                "description": "Logo",
                "filetitle": "Logo",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3543,
                "image_height": 3306,
                "name": "Auzinger_2012_GeigerCam-Logo.jpg",
                "type": "image/jpeg",
                "size": 1129557,
                "path": "Publication:Auzinger_2012_GeigerCam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Logo.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Logo:thumb{{size}}.png"
            },
            {
                "description": "Images from the measurements of alpha, beta, gamma and neutron radiation.",
                "filetitle": "Measurement_images",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "Auzinger_2012_GeigerCam-Measurement_images.pdf",
                "type": "application/pdf",
                "size": 623341,
                "path": "Publication:Auzinger_2012_GeigerCam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Measurement_images.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Measurement_images:thumb{{size}}.png"
            },
            {
                "description": "The modified webcam and several freely available radioactive sources.",
                "filetitle": "Our_setup",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3872,
                "image_height": 2592,
                "name": "Auzinger_2012_GeigerCam-Our_setup.JPG",
                "type": "image/jpeg",
                "size": 3902722,
                "path": "Publication:Auzinger_2012_GeigerCam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Our_setup.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Our_setup:thumb{{size}}.png"
            },
            {
                "description": "The conference poster.",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 374,
                "preview_image_height": 265,
                "name": "Auzinger_2012_GeigerCam-Poster.pdf",
                "type": "application/pdf",
                "size": 861880,
                "path": "Publication:Auzinger_2012_GeigerCam",
                "preview_name": "Auzinger_2012_GeigerCam-Poster:preview.png",
                "preview_type": "image/png",
                "preview_size": 108193,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/Auzinger_2012_GeigerCam-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_GeigerCam/",
        "__class": "Publication"
    },
    {
        "id": "BORZA-2012-Stellarium",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stellarium - Effects",
        "date": "2012-08",
        "abstract": "For this thesis we focused on improving Scenery3d, a plugin for the popular open source software\r\nStellarium. Scenery3d was developed by students of the Vienna University of Technology\r\nto enable walking through models of architectural structures, which were built with astronomical\r\norientation in mind.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            936
        ],
        "date_start": "2011-10-05",
        "matrikelnr": "0625499",
        "supervisor": [
            193,
            222
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Bachelor Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "BORZA-2012-Stellarium-thesis.pdf",
                "type": "application/pdf",
                "size": 25191927,
                "path": "Publication:BORZA-2012-Stellarium",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/BORZA-2012-Stellarium/BORZA-2012-Stellarium-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/BORZA-2012-Stellarium/BORZA-2012-Stellarium-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/BORZA-2012-Stellarium/",
        "__class": "Publication"
    },
    {
        "id": "Morar_2012_ISB",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image Segmentation Based on Active Contours without Edges",
        "date": "2012-08",
        "abstract": "There are a lot of image segmentation techniques that\r\ntry to differentiate between background and object pixels, but\r\nmany of them fail to discriminate between different objects that\r\nare close to each other. Some image characteristics like low\r\ncontrast between background and foreground or inhomogeneity\r\nwithin the objects increase the difficulty of correctly segmenting\r\nimages. We designed a new segmentation algorithm based on\r\nactive contours without edges. We also used other image\r\nprocessing techniques such as nonlinear anisotropic diffusion and\r\nadaptive thresholding in order to overcome the images’ problems\r\nstated above. Our algorithm was tested on very noisy images, and\r\nthe results were compared to those obtained with known\r\nmethods, like segmentation using active contours without edges\r\nand graph cuts. The new technique led to very good results, but\r\nthe time complexity was a drawback. However, this drawback\r\nwas significantly reduced with the use of graphical programming.\r\nOur segmentation method has been successfully integrated in a\r\nsoftware application whose aim is to segment the bones from CT\r\ndatasets, extract the femur and produce personalized prostheses\r\nin hip arthroplasty.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Morar_2012_ISB-Paper.pdf",
            "type": "application/pdf",
            "size": 416620,
            "path": "Publication:Morar_2012_ISB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Morar_2012_ISB/Morar_2012_ISB-Paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Morar_2012_ISB/Morar_2012_ISB-Paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1064,
            1065,
            166
        ],
        "booktitle": "IEEE ICCP 2012 - Proceedings",
        "date_from": "2012-08-30",
        "date_to": "2012-09-01",
        "event": "8th IEEE International Conference on Intelligent Computer Communication and Processing 2012",
        "lecturer": [
            1064
        ],
        "location": "Cluj-Napoca, Romania",
        "pages_from": "213",
        "pages_to": "220",
        "research_areas": [],
        "keywords": [
            "Active contours without edges",
            "image segmentation",
            "nonlinear anisotropic diffusion",
            "parallel image processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Morar_2012_ISB-Paper.pdf",
                "type": "application/pdf",
                "size": 416620,
                "path": "Publication:Morar_2012_ISB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Morar_2012_ISB/Morar_2012_ISB-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Morar_2012_ISB/Morar_2012_ISB-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Morar_2012_ISB/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger-stefan-2012-the",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Intrinsic Shape of Point Clouds",
        "date": "2012-07",
        "abstract": "Given a point cloud, in the form of unorganized points, the problem of automatically connecting the dots to obtain an aesthetically pleasing and piecewise-linear closed interpolating boundary shape has been extensively researched for over three decades. In R3 , it is even more complicated to find an aesthetic closed oriented surface. Most previous methods for shape reconstruction exclusively from coordinates work well only when the point spacing on the shape boundary is dense and locally uniform. The problem of shape construction from non-dense and locally non-uniformly spaced point sets is in our opinion not yet satisfactorily solved. Various extensions to earlier methods do not work that well and do not provide any performance guarantees either.\nOur main thesis in this research is that a point set, even with non-dense and locally non-uniform spacing, has an intrinsic shape which optimizes in some way the Gestalt principles of form perception. This shape can be formally defined as the minimum of an energy function over all possible closed linear piece-wise interpolations of this point set. Further, while finding this optimal shape is NP-hard, it is possible to heuristically search for an acceptable approximation within reasonable time.\nOur minimization objective is guided by Gestalt’s laws of Proximity, Good Continuity and Closure. Minimizing curvature tends to satisfy proximity and good continuity. For computational simplification, we globally minimize the longest-edge-in-simplex, since it is intrinsic to a single facet and also a factor in mean curvature. And we require a closed shape.\nUsing such an intrinsic criterion permits the extraction of an approximate shape with a linearithmic algorithm as a simplicial complex, which we have named the Minimum Boundary Complex. Experiments show that it seems to be a very close approximation to the desired boundary shape and that it retains its genus. Further it can be constructed locally and can also handle sensor data with significant noise. Its quick construction is due to not being restricted by the manifold property, required in the boundary shape. Therefore it has many applications where a manifold shape is not necessary, e.g. visualization, shape retrieval, shadow mapping, and topological data analysis in higher dimensions. The definition of the Minimum Boundary Complex is our first major contribution.\nOur next two contributions include new methods for constructing boundary shapes by transforming the boundary complex into a close approximation of the minimum boundary shape. These algorithms vary a topological constraint to first inflate the boundary complex to recover a manifold hull and then sculpture it to extract a Minimum Boundary approximation, which interpolates all the points. In the R3 method, we show how local minima can be avoided by covering holes in the hull. Finally, we apply a mesh fairing step to optimize mean curvature directly. We present results for shape construction in R2 and R3 , which clearly demonstrate that our methods work better than the best performing earlier methods for non-dense and locally non-uniformly spaced point sets, while maintaining competitive linearithmic complexity.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "2D and 3D Reconstruction",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 646,
            "image_height": 562,
            "name": "ohrhallinger-stefan-2012-the-thumbnail.jpg",
            "type": "image/jpeg",
            "size": 70443,
            "path": "Publication:ohrhallinger-stefan-2012-the",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-thumbnail.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948
        ],
        "date_end": "2012-07",
        "date_start": "2006-09",
        "reviewer_1": [
            1310
        ],
        "reviewer_2": [
            1321,
            1322,
            1323
        ],
        "rigorosum": "2012-07-12",
        "supervisor": [
            1024
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Surface Reconstruction",
            "Manifold Reconstruction",
            "Point Cloud",
            "Shape Boundary",
            "Gestalt",
            "Curve Reconstruction"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "Phd-Thesis",
                "filetitle": "Phd-Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger-stefan-2012-the-Phd-Thesis.pdf",
                "type": "application/pdf",
                "size": 9222535,
                "path": "Publication:ohrhallinger-stefan-2012-the",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-Phd-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-Phd-Thesis:thumb{{size}}.png"
            },
            "4": {
                "description": "2D and 3D Reconstruction",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 646,
                "image_height": 562,
                "name": "ohrhallinger-stefan-2012-the-thumbnail.jpg",
                "type": "image/jpeg",
                "size": 70443,
                "path": "Publication:ohrhallinger-stefan-2012-the",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-thumbnail.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/ohrhallinger-stefan-2012-the-thumbnail:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger-stefan-2012-the/",
        "__class": "Publication"
    },
    {
        "id": "Eibner-12",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": " GPU-based Multi-Resolution Image Analysis for Synthesis of Tileable Textures",
        "date": "2012-07",
        "abstract": "We propose a GPU-based algorithm for texture analysis and synthesis of nearly-regular patterns, in our case scanned textiles or similar manufactured surfaces. The method takes advantage of the highly parallel execution on the GPU to generate correlation maps from captured template images. In an analysis step a lattice encoding the periodicity of the texture is computed. This lattice is used to synthesize the smallest texture tile describing the underlying pattern. Compared to other approaches, our method analyzes and synthesizes a valid lattice model without any user interaction. It is robust against small distortions and fast compared to other, more general approaches. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Eibner-12-Paper.pdf",
            "type": "application/pdf",
            "size": 5508484,
            "path": "Publication:Eibner-12",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            843,
            204,
            190
        ],
        "booktitle": "Proceedings Intern. Symposium on Visual Computing (ISVC 2012)",
        "date_from": "2012-07-16",
        "date_to": "2012-07-18",
        "isbn": "978-3-642-33190-9",
        "issn": "0302-9743",
        "lecturer": [
            843
        ],
        "location": "Creta, Greece",
        "organization": "Symposium proceedings",
        "pages_from": "479",
        "pages_to": "488",
        "publisher": "Springer-Verlag",
        "series": "Lecture Notes in Computer Science (LNCS) series",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Eibner-12-Paper.pdf",
                "type": "application/pdf",
                "size": 5508484,
                "path": "Publication:Eibner-12",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/Eibner-12-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Eibner-12/",
        "__class": "Publication"
    },
    {
        "id": "Birkeland-2012-IMC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Membrane Clipping",
        "date": "2012-06",
        "abstract": "Clipping is a fast, common technique for resolving occlusions. It only requires simple interaction, is easily understandable,\nand thus has been very popular for volume exploration. However, a drawback of clipping is that the\ntechnique indiscriminately cuts through features. Illustrators, for example, consider the structures in the vicinity\nof the cut when visualizing complex spatial data and make sure that smaller structures near the clipping plane are\nkept in the image and not cut into fragments. In this paper we present a new technique, which combines the simple\nclipping interaction with automated selective feature preservation using an elastic membrane. In order to prevent\ncutting objects near the clipping plane, the deformable membrane uses underlying data properties to adjust itself\nto salient structures. To achieve this behaviour, we translate data attributes into a potential field which acts on the\nmembrane, thus moving the problem of deformation into the soft-body dynamics domain. This allows us to exploit\nexisting GPU-based physics libraries which achieve interactive frame rates. For manual adjustment, the user can\ninsert additional potential fields, as well as pinning the membrane to interesting areas. We demonstrate that our\nmethod can act as a flexible and non-invasive replacement of traditional clipping planes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The hippocampus in a mouse brain imaged using ultramicroscopy",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1027,
            "image_height": 609,
            "name": "Birkeland-2012-IMC-Teaser.jpg",
            "type": "image/jpeg",
            "size": 187433,
            "path": "Publication:Birkeland-2012-IMC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1007,
            161,
            1008,
            171
        ],
        "date_from": "2012-06-05",
        "date_to": "2012-06-08",
        "event": "EuroVis 2012",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            1007
        ],
        "location": "Vienna, Austria",
        "note": "presented at EuroVis 2012",
        "number": "3",
        "pages_from": "905",
        "pages_to": "914",
        "volume": "31",
        "research_areas": [
            "IllVis",
            "MedVis"
        ],
        "keywords": [
            "illustrative visualization",
            "volume rendering",
            "clipping"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03083.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birkeland-2012-IMC-Paper.pdf",
                "type": "application/pdf",
                "size": 21540990,
                "path": "Publication:Birkeland-2012-IMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Paper:thumb{{size}}.png"
            },
            {
                "description": "The hippocampus in a mouse brain imaged using ultramicroscopy",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1027,
                "image_height": 609,
                "name": "Birkeland-2012-IMC-Teaser.jpg",
                "type": "image/jpeg",
                "size": 187433,
                "path": "Publication:Birkeland-2012-IMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Video Demonstration",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "Birkeland-2012-IMC-Video.wmv",
                "type": "text/plain",
                "size": 26372220,
                "path": "Publication:Birkeland-2012-IMC",
                "preview_name": "Birkeland-2012-IMC-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 15856,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/Birkeland-2012-IMC-Video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birkeland-2012-IMC/",
        "__class": "Publication"
    },
    {
        "id": "Herghelegiu-2012-BPV",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy",
        "date": "2012-06",
        "abstract": "Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first\r\nmandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor\r\nrequires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage.\r\nIn this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our\r\nsystem uses a multi-level approach for identifying stable needle placements which minimize the risk of hitting\r\nblood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and\r\nvisualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by\r\nthe neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "Herghelegiu-2012-BPV-Teaser.jpg",
            "type": "image/jpeg",
            "size": 46706,
            "path": "Publication:Herghelegiu-2012-BPV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            903,
            850,
            1006,
            161,
            166
        ],
        "date_from": "2012-06-05",
        "date_to": "2012-06-08",
        "event": "EuroVis 2012",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            903
        ],
        "location": "Vienna, Austria",
        "note": "presented at EuroVis 2012",
        "number": "3",
        "pages_from": "1085",
        "pages_to": "1094",
        "volume": "31",
        "research_areas": [],
        "keywords": [
            "biopsy planning",
            "medical visualization",
            "visual analysis"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03101.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Herghelegiu-2012-BPV-Paper.pdf",
                "type": "application/pdf",
                "size": 3817151,
                "path": "Publication:Herghelegiu-2012-BPV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Paper:thumb{{size}}.png"
            },
            {
                "description": "Questionnaire used in the evaluation",
                "filetitle": "Questionnaire",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Herghelegiu-2012-BPV-Questionnaire.pdf",
                "type": "application/pdf",
                "size": 68101,
                "path": "Publication:Herghelegiu-2012-BPV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Questionnaire.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Questionnaire:thumb{{size}}.png"
            },
            {
                "description": "Tasks used in the evaluation",
                "filetitle": "Tasks",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Herghelegiu-2012-BPV-Tasks.pdf",
                "type": "application/pdf",
                "size": 33270,
                "path": "Publication:Herghelegiu-2012-BPV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Tasks.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Tasks:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "Herghelegiu-2012-BPV-Teaser.jpg",
                "type": "image/jpeg",
                "size": 46706,
                "path": "Publication:Herghelegiu-2012-BPV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Video Demonstration",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 960,
                "preview_image_height": 460,
                "name": "Herghelegiu-2012-BPV-Video.mp4",
                "type": "video/mp4",
                "size": 3366642,
                "path": "Publication:Herghelegiu-2012-BPV",
                "preview_name": "Herghelegiu-2012-BPV-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 25056,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/Herghelegiu-2012-BPV-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/",
        "__class": "Publication"
    },
    {
        "id": "knecht_martin_2012_BRDFEstimation",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive BRDF Estimation for Mixed-Reality Applications",
        "date": "2012-06",
        "abstract": "Recent methods in augmented reality allow simulating mutual light interactions between real and virtual objects. These methods are able to embed virtual objects in a more sophisticated way than previous methods. However, their main drawback is that they need a virtual representation of the real scene to be augmented in the form of geometry and material properties. In the past, this representation had to be modeled in advance, which is very time consuming and only allows for static scenes.\n\nWe propose a method that reconstructs the surrounding environment and estimates its Bidirectional Reflectance Distribution Function (BRDF) properties at runtime without any preprocessing. By using the Microsoft Kinect sensor and an optimized hybrid CPU & GPU-based BRDF estimation method, we are able to achieve interactive frame rates. The proposed method was integrated into a differential instant radiosity rendering system to demonstrate its feasibility.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Kinect Input",
            "filetitle": "KinectInput",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1312,
            "image_height": 480,
            "name": "knecht_martin_2012_BRDFEstimation-KinectInput.jpg",
            "type": "image/jpeg",
            "size": 396166,
            "path": "Publication:knecht_martin_2012_BRDFEstimation",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            920,
            237,
            193
        ],
        "date_from": "2012-06-25",
        "date_to": "2012-06-28",
        "event": "WSCG 2012",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            736
        ],
        "location": "Plzen, Czech Republic",
        "number": "1",
        "pages_from": "47",
        "pages_to": "56",
        "volume": "20",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Augmented Reality",
            "BRDF Estimation",
            "Reconstruction"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "Result",
                "filetitle": "FinalImage",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "knecht_martin_2012_BRDFEstimation-FinalImage.jpg",
                "type": "image/jpeg",
                "size": 398907,
                "path": "Publication:knecht_martin_2012_BRDFEstimation",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-FinalImage.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-FinalImage:thumb{{size}}.png"
            },
            "1": {
                "description": "Kinect Input",
                "filetitle": "KinectInput",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1312,
                "image_height": 480,
                "name": "knecht_martin_2012_BRDFEstimation-KinectInput.jpg",
                "type": "image/jpeg",
                "size": 396166,
                "path": "Publication:knecht_martin_2012_BRDFEstimation",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-KinectInput:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin_2012_BRDFEstimation-paper.pdf",
                "type": "application/pdf",
                "size": 1057380,
                "path": "Publication:knecht_martin_2012_BRDFEstimation",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-paper:thumb{{size}}.png"
            },
            "4": {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin_2012_BRDFEstimation-video.mpg",
                "type": "text/plain",
                "size": 10586468,
                "path": "Publication:knecht_martin_2012_BRDFEstimation",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/knecht_martin_2012_BRDFEstimation-video.mpg",
                "thumb_image_sizes": []
            }
        },
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/knecht_martin_2012_BRDFEstimation/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2012-TIS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tessellation-Independent Smooth Shadow Boundaries",
        "date": "2012-06",
        "abstract": "We propose an efficient and light-weight solution for rendering smooth shadow boundaries that do not reveal the tessellation of the shadow-casting geometry. Our algorithm reconstructs the smooth contours of the underlying mesh and then extrudes shadow volumes from the smooth silhouettes to render the shadows. For this purpose we propose an improved silhouette reconstruction using the vertex normals of the underlying smooth mesh. Then our method subdivides the silhouette loops until the contours are sufficiently smooth and project to smooth shadow boundaries. This approach decouples the shadow smoothness from the tessellation of the geometry and can be used to maintain equally high shadow quality for multiple LOD levels. It causes only a minimal change to the fill rate, which is the well-known bottleneck of shadow volumes, and hence has only small overhead.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 720,
            "name": "MATTAUSCH-2012-TIS-.png",
            "type": "image/png",
            "size": 57545,
            "path": "Publication:MATTAUSCH-2012-TIS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            452,
            193,
            1040
        ],
        "date_from": "2012-06-27",
        "date_to": "2012-06-29",
        "event": "EUROGRAPHICS Symposium on Rendering 2012",
        "issn": "1467-8659",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            326
        ],
        "number": "31",
        "pages_from": "1465",
        "pages_to": "1470",
        "volume": "4",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "shadows"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03142.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": {
            "0": {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "MATTAUSCH-2012-TIS-.png",
                "type": "image/png",
                "size": 57545,
                "path": "Publication:MATTAUSCH-2012-TIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-:thumb{{size}}.png"
            },
            "1": {
                "description": null,
                "filetitle": "discrete shadow boundaries",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 620,
                "image_height": 768,
                "name": "MATTAUSCH-2012-TIS-discrete shadow boundaries.png",
                "type": "image/png",
                "size": 85775,
                "path": "Publication:MATTAUSCH-2012-TIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-discrete shadow boundaries.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-discrete shadow boundaries:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2012-TIS-draft.pdf",
                "type": "application/pdf",
                "size": 6557504,
                "path": "Publication:MATTAUSCH-2012-TIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-draft:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "our shadow boundaries",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 620,
                "image_height": 768,
                "name": "MATTAUSCH-2012-TIS-our shadow boundaries.png",
                "type": "image/png",
                "size": 90104,
                "path": "Publication:MATTAUSCH-2012-TIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-our shadow boundaries.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-our shadow boundaries:thumb{{size}}.png"
            },
            "5": {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "MATTAUSCH-2012-TIS-Video.mp4",
                "type": "video/mp4",
                "size": 26525772,
                "path": "Publication:MATTAUSCH-2012-TIS",
                "preview_name": "MATTAUSCH-2012-TIS-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 40969,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/MATTAUSCH-2012-TIS-Video:video.mp4"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-TIS/",
        "__class": "Publication"
    },
    {
        "id": "PMI_AR_2012",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Porosity Maps – Interactive Exploration and Visual Analysis of Porosity in Carbon Fiber Reinforced Polymers",
        "date": "2012-06",
        "abstract": "In this work a novel method for the characterization of porosity in carbon fiber reinforced polymers (CFRP) is presented. A visualization pipeline for the interactive exploration and visual analysis of CFRP specimens is developed to enhance the evaluation workflow for non-destructive testing (NDT) practitioners based on specified tasks. Besides quantitative porosity determination and the calculation of local pore properties, i.e., volume, surface, dimensions and shape factors, we employ a drill-down approach to explore pores in a CFRP specimen. We introduce Porosity Maps (PM), to allow for a fast porosity evaluation of the specimen. Pores are filtered in two stages. First a region of interest is selected in the porosity maps. Second, pores are filtered with parallel coordinates according to their local properties. Furthermore a histogram-based best-viewpoint widget was implemented to visualize the quality of viewpoints on a sphere. The advantages of our approach are demonstrated using real world CFRP specimens. We are able to show that our visualization-driven approach leads to a better evaluation of CFRP components than existing reference methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 470,
            "image_height": 470,
            "name": "PMI_AR_2012-.jpg",
            "type": "image/jpeg",
            "size": 203026,
            "path": "Publication:PMI_AR_2012",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1054,
            1055,
            1056,
            166,
            611
        ],
        "date_from": "2012-06-05",
        "date_to": "2012-06-08",
        "event": "Euro Vis 2012",
        "journal": "Computer Graphics Forum,",
        "lecturer": [
            1054
        ],
        "location": "Vienna, Austria",
        "number": "3",
        "pages_from": "1185",
        "pages_to": "1194",
        "volume": "31",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "Interaction Techniques",
            "Methodology and techniques"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03111.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 470,
                "image_height": 470,
                "name": "PMI_AR_2012-.jpg",
                "type": "image/jpeg",
                "size": 203026,
                "path": "Publication:PMI_AR_2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PMI_AR_2012-paper.pdf",
                "type": "application/pdf",
                "size": 1332004,
                "path": "Publication:PMI_AR_2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/PMI_AR_2012-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/PMI_AR_2012/",
        "__class": "Publication"
    },
    {
        "id": "schedl-2012-dof",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A layered depth-of-field method for solving partial occlusion",
        "date": "2012-06",
        "abstract": "Depth of field (DoF) represents a distance range around a focal plane, where objects on an image are crisp. DoF is one of the effects which significantly contributes to the photorealism of images and therefore is often simulated in rendered images.\nVarious methods for simulating DoF have been proposed so far, but little tackle the issue of partial occlusion: Blurry objects near the camera are semi-transparent and result in partially visible background objects. This effect is strongly apparent in miniature and macro photography. In this work a DoF method is presented which simulates partial occlusion. The contribution of this work is a layered method where the scene is rendered into layers. Blurring is done efficiently with recursive Gaussian filters. Due to the usage of Gaussian filters big artifact-free blurring radii can be simulated at reasonable costs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Rendering produced with this method.",
            "filetitle": "thumb",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "schedl-2012-dof-thumb.png",
            "type": "image/png",
            "size": 709508,
            "path": "Publication:schedl-2012-dof",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-thumb.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-thumb:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            980,
            193
        ],
        "date_from": "2012-06-25",
        "date_to": "2012-06-28",
        "event": "WSCG 2012",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            980
        ],
        "location": "Plzen, Czech Republic",
        "number": "3",
        "pages_from": "239",
        "pages_to": "246",
        "volume": "20",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "realtime",
            "rendering",
            "depth-of-field",
            "layers",
            "depth peeling"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "The camera ready paper with full resolution images (21.7 MB).",
                "filetitle": "paper_highres",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schedl-2012-dof-paper_highres.pdf",
                "type": "application/pdf",
                "size": 22801536,
                "path": "Publication:schedl-2012-dof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-paper_highres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-paper_highres:thumb{{size}}.png"
            },
            "1": {
                "description": "The camera ready paper (1.18 MB).",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schedl-2012-dof-paper.pdf",
                "type": "application/pdf",
                "size": 1242121,
                "path": "Publication:schedl-2012-dof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-paper:thumb{{size}}.png"
            },
            "2": {
                "description": "WSCG-slides (PDF)",
                "filetitle": "slides_pdf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schedl-2012-dof-slides_pdf.pdf",
                "type": "application/pdf",
                "size": 4337984,
                "path": "Publication:schedl-2012-dof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-slides_pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-slides_pdf:thumb{{size}}.png"
            },
            "4": {
                "description": "Rendering produced with this method.",
                "filetitle": "thumb",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "schedl-2012-dof-thumb.png",
                "type": "image/png",
                "size": 709508,
                "path": "Publication:schedl-2012-dof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-thumb.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/schedl-2012-dof-thumb:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/schedl-2012-dof/",
        "__class": "Publication"
    },
    {
        "id": "Auzinger_2012_AAA",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analytic Anti-Aliasing of Linear Functions on Polytopes",
        "date": "2012-05",
        "abstract": "This paper presents an analytic formulation for anti-aliased sampling of 2D polygons and 3D polyhedra. Our framework allows the exact evaluation of the convolution integral with a linear function defined on the polytopes. The filter is a spherically symmetric polynomial of any order, supporting approximations to refined variants such as the Mitchell-Netravali filter family. This enables high-quality rasterization of triangles and tetrahedra with linearly interpolated vertex values to regular and non-regular grids. A closed form solution of the convolution is presented and an efficient implementation on the GPU using DirectX and CUDA C is described.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "sea_urchin_thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 893,
            "image_height": 863,
            "name": "Auzinger_2012_AAA-sea_urchin_thumbnail.png",
            "type": "image/png",
            "size": 815538,
            "path": "Publication:Auzinger_2012_AAA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-sea_urchin_thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-sea_urchin_thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808,
            958,
            356
        ],
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "event": "Eurographics 2012",
        "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2012)",
        "lecturer": [
            808
        ],
        "location": "Cagliari, Italy",
        "number": "2",
        "pages_from": "335",
        "pages_to": "344",
        "volume": "31",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Polytope",
            "Filter Design",
            "Analytic Anti-Aliasing",
            "Sampling",
            "Integral Formula",
            "Spherically Symmetric Filter",
            "CUDA",
            "Closed Form Solution",
            "2D 3D"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03012.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Video for the Fast Forward session (DivX encoded) (14 MB).",
                "filetitle": "Fast Forward DivX",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "Auzinger_2012_AAA-Fast Forward DivX.avi",
                "type": "video/x-msvideo",
                "size": 14232510,
                "path": "Publication:Auzinger_2012_AAA",
                "preview_name": "Auzinger_2012_AAA-Fast Forward DivX:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 242687,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward DivX.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward DivX:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward DivX:video.mp4"
            },
            {
                "description": "Video for the Fast Forward session (TechSmith encoded) (107 MB).",
                "filetitle": "Fast Forward TechSmith",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1920,
                "preview_image_height": 1080,
                "name": "Auzinger_2012_AAA-Fast Forward TechSmith.avi",
                "type": "video/x-msvideo",
                "size": 112260962,
                "path": "Publication:Auzinger_2012_AAA",
                "preview_name": "Auzinger_2012_AAA-Fast Forward TechSmith:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 241725,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward TechSmith.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward TechSmith:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Fast Forward TechSmith:video.mp4"
            },
            {
                "description": "Decomposition of the intersection volume between the spherical filter support and a input tetrahedron. The different colors denote different geometrical shapes for which a closed form solution of the integral can be obtained.",
                "filetitle": "Intersection decomposition",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1191,
                "image_height": 849,
                "name": "Auzinger_2012_AAA-Intersection decomposition.png",
                "type": "image/png",
                "size": 51701,
                "path": "Publication:Auzinger_2012_AAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Intersection decomposition.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Intersection decomposition:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 734,
                "preview_image_height": 1038,
                "name": "Auzinger_2012_AAA-Paper.pdf",
                "type": "application/pdf",
                "size": 5069973,
                "path": "Publication:Auzinger_2012_AAA",
                "preview_name": "Auzinger_2012_AAA-Paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 122555,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Paper:thumb{{size}}.png"
            },
            {
                "description": "Volume rendering of a sea urchin model sampled with our method. The color is linearly interpolated in the spike tetrahedra. The model consists of 2470 tetrahedra and is sampled to a grid with resolution 256³ with a Gaussian filter kernel of radius 2.3 voxels.",
                "filetitle": "Sea urchin model",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 893,
                "image_height": 863,
                "name": "Auzinger_2012_AAA-Sea urchin model.png",
                "type": "image/png",
                "size": 815538,
                "path": "Publication:Auzinger_2012_AAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Sea urchin model.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Sea urchin model:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "sea_urchin_thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 893,
                "image_height": 863,
                "name": "Auzinger_2012_AAA-sea_urchin_thumbnail.png",
                "type": "image/png",
                "size": 815538,
                "path": "Publication:Auzinger_2012_AAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-sea_urchin_thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-sea_urchin_thumbnail:thumb{{size}}.png"
            },
            {
                "description": "Presentation slides without the final video (5 MB).",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1088,
                "preview_image_height": 815,
                "name": "Auzinger_2012_AAA-Slides.pptx",
                "type": "application/zip",
                "size": 5349249,
                "path": "Publication:Auzinger_2012_AAA",
                "preview_name": "Auzinger_2012_AAA-Slides:preview.png",
                "preview_type": "image/png",
                "preview_size": 114184,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Slides.pptx",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Slides:thumb{{size}}.png"
            },
            {
                "description": "Presentation slides with the final video (20 MB).",
                "filetitle": "SlidesVideo",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1088,
                "preview_image_height": 815,
                "name": "Auzinger_2012_AAA-SlidesVideo.pptx",
                "type": "application/zip",
                "size": 21025900,
                "path": "Publication:Auzinger_2012_AAA",
                "preview_name": "Auzinger_2012_AAA-SlidesVideo:preview.png",
                "preview_type": "image/png",
                "preview_size": 114184,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-SlidesVideo.pptx",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-SlidesVideo:thumb{{size}}.png"
            },
            {
                "description": "Volume rendering of a zone plate model consisting of 2M tetrahedra with a Gaussian filter kernel.",
                "filetitle": "Zone plate model",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 550,
                "image_height": 687,
                "name": "Auzinger_2012_AAA-Zone plate model.png",
                "type": "image/png",
                "size": 138423,
                "path": "Publication:Auzinger_2012_AAA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Zone plate model.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/Auzinger_2012_AAA-Zone plate model:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Auzinger_2012_AAA/",
        "__class": "Publication"
    },
    {
        "id": "Birsak-Michael-2012",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coloring Meshes of Archaeological Datasets",
        "date": "2012-05",
        "abstract": "Archaeological monuments are nowadays preserved for future generations by means of digitization. To this end, laser scanners in conjunction with registered cameras are used to gather both the geometric and the color information. The geometry is often\r\ntriangulated to allow a continuous mapping of the photos onto the geometry. The color mapping for high-quality reconstructions of parts of the models is not without problems.\r\nIn practice, the photos overlap. Now, assuming that a particular triangle receives color information from just one photo, there is a huge number of possibilities to map the photos onto the triangles. This labeling problem is already covered in literature. There\r\nare also approaches for the leveling of the remaining seams that arise because of the different lighting situations during the exposure of the photos.\r\nIn this thesis, we improve common labeling approaches by the introduction of an accurate geometry-based occlusion detection. An octree is used to quickly filter out parts of the model that do not come into consideration for an occlusion anyway. The occlusion detection prevents texturing of parts of the model with image material that\r\ndoes not contain the expected region, but the colors of an occluder.\r\n\r\nFurther, a proposed approach for seam leveling on meshes is improved by the introduction of a new term into the least squares problem that corresponds to the proposed leveling approach. This new term penalizes big leveling function values and helps to keep the leveled color values in the valid range. For better filtering results, we improve the proposed calculation of a 1-pixel wide boundary around the leveled patches by the introduction of outline normals for a user-defined scale of the patches.\r\n\r\nFor easier manual editing of remaining artifacts in the photos, we introduce an application for the generation of alpha masks that indicate regions of the photos that are used for texturing of the 3D model.\r\n\r\nFor the high-performance visualization of 3D models with a huge amount of textures, we make use of virtual texturing. We present an application that generates the needed data structures atlas and tile store in significantly less time than existing scripts.\r\n\r\nFinally, we show how all the mentioned functionalities are integrated into a visualization application that can support a graphic artist in the post-processing of a digitized\r\narchaeological monument.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1915,
            "image_height": 1041,
            "name": "Birsak-Michael-2012-image.jpg",
            "type": "image/jpeg",
            "size": 191449,
            "path": "Publication:Birsak-Michael-2012",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836
        ],
        "date_start": "2010-08-11",
        "matrikelnr": "0525386",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1915,
                "image_height": 1041,
                "name": "Birsak-Michael-2012-image.jpg",
                "type": "image/jpeg",
                "size": 191449,
                "path": "Publication:Birsak-Michael-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birsak-Michael-2012-Poster.pdf",
                "type": "application/pdf",
                "size": 3123114,
                "path": "Publication:Birsak-Michael-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Birsak-Michael-2012-Thesis.pdf",
                "type": "application/pdf",
                "size": 25061200,
                "path": "Publication:Birsak-Michael-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/Birsak-Michael-2012-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Birsak-Michael-2012/",
        "__class": "Publication"
    },
    {
        "id": "fink-2012-cg1",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Teaching a Modern Graphics Pipeline Using a Shader-based Software Renderer",
        "date": "2012-05",
        "abstract": "Shaders are a fundamental pattern of the modern graphics pipeline. This paper presents a syllabus for an introductory computer graphics course that emphasizes the use of programmable shaders while teaching raster-level algorithms at the same time. We describe a Java-based framework that is used for programming assignments in this course. This framework implements a shader-enabled software renderer and an interactive 3D editor. We also show how to create attractive course materials by using COLLADA, an open standard for 3D content exchange.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The user interface of the CG1 lab framework.",
            "filetitle": "UI",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 955,
            "image_height": 701,
            "name": "fink-2012-cg1-UI.png",
            "type": "image/png",
            "size": 274987,
            "path": "Publication:fink-2012-cg1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-UI.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-UI:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1001,
            743,
            193
        ],
        "booktitle": "Eurographics 2012 -- Education Papers",
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "editor": "Giovanni Gallo and Beatriz Sousa Santos",
        "event": "Eurographics 2012",
        "issn": "1017-4656",
        "lecturer": [
            1001
        ],
        "location": "Cagliari, Italy",
        "pages_from": "73",
        "pages_to": "80",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Education",
            "Collada",
            "Java",
            "Introductory Computer Graphics",
            "Software Rasterizer"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "assignment_1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_1.mov",
                "type": "video/quicktime",
                "size": 689409,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 26946,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_1.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_1:video.mp4"
            },
            "1": {
                "description": null,
                "filetitle": "assignment_2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_2.mov",
                "type": "video/quicktime",
                "size": 20726005,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 123736,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_2.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_2:video.mp4"
            },
            "2": {
                "description": null,
                "filetitle": "assignment_3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_3.mov",
                "type": "video/quicktime",
                "size": 67921701,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_3:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 107525,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_3.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_3:video.mp4"
            },
            "3": {
                "description": null,
                "filetitle": "assignment_4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_4.mov",
                "type": "video/quicktime",
                "size": 10336476,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_4:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 78709,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_4.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_4:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_4:video.mp4"
            },
            "4": {
                "description": null,
                "filetitle": "assignment_5",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_5.mov",
                "type": "video/quicktime",
                "size": 10515728,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_5:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 49602,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_5.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_5:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_5:video.mp4"
            },
            "5": {
                "description": null,
                "filetitle": "assignment_6",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "fink-2012-cg1-assignment_6.mov",
                "type": "video/quicktime",
                "size": 30258255,
                "path": "Publication:fink-2012-cg1",
                "preview_name": "fink-2012-cg1-assignment_6:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 52755,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_6.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_6:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-assignment_6:video.mp4"
            },
            "6": {
                "description": null,
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "fink-2012-cg1-preprint.pdf",
                "type": "application/pdf",
                "size": 1085841,
                "path": "Publication:fink-2012-cg1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-preprint:thumb{{size}}.png"
            },
            "9": {
                "description": "The user interface of the CG1 lab framework.",
                "filetitle": "UI",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 955,
                "image_height": 701,
                "name": "fink-2012-cg1-UI.png",
                "type": "image/png",
                "size": 274987,
                "path": "Publication:fink-2012-cg1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-UI.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/fink-2012-cg1-UI:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/fink-2012-cg1/",
        "__class": "Publication"
    },
    {
        "id": "Habel_2012_PSP",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Spectral Photography",
        "date": "2012-05",
        "abstract": "We introduce a low-cost and compact spectral imaging camera design based on unmodified consumer cameras and a custom camera objective. The device can be used in a high-resolution configuration that measures the spectrum of a column of an imaged scene with up to 0.8 nm spectral resolution, rivalling commercial non-imaging spectrometers, and a mid-resolution\nhyperspectral mode that allows the spectral measurement of a whole image, with up to 5 nm spectral resolution and 120x120 spatial resolution.\nWe develop the necessary calibration methods based on halogen/fluorescent lamps and laser pointers\nto acquire all necessary information about the optical system. \nWe also derive the mathematical methods to interpret and reconstruct spectra directly from the Bayer array images of a standard RGGB camera.\nThis objective design introduces accurate spectral remote sensing to computational photography, with numerous applications in color theory, colorimetry, vision and rendering, making the acquisition of a spectral image as simple as taking a high-dynamic-range image.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Practical Spectral Photography",
            "filetitle": "Practical Spectral Photography",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 850,
            "name": "Habel_2012_PSP-Practical Spectral Photography.jpg",
            "type": "image/jpeg",
            "size": 492549,
            "path": "Publication:Habel_2012_PSP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            957,
            193
        ],
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "event": "Eurographics 2012",
        "journal": "Computer Graphics Forum (Proceedings EUROGRAPHICS 2012)",
        "lecturer": [
            618
        ],
        "location": "Cagliari, Italy",
        "number": "2",
        "pages_from": "449",
        "pages_to": "458",
        "volume": "31",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Computational Photography",
            "Spectroscopy",
            "Computed Tomography Imaging Spectrometer",
            "Practical"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03024.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Matlab code of EM iteration",
                "filetitle": "Code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2012_PSP-Code.txt",
                "type": "text/plain",
                "size": 403,
                "path": "Publication:Habel_2012_PSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Code.txt",
                "thumb_image_sizes": []
            },
            {
                "description": "Additional Data Sets and Materials",
                "filetitle": "Data Sets",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2012_PSP-Data Sets.pdf",
                "type": "application/pdf",
                "size": 2532986,
                "path": "Publication:Habel_2012_PSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Data Sets.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Data Sets:thumb{{size}}.png"
            },
            {
                "description": "Practical Spectral Photography",
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2012_PSP-Draft.pdf",
                "type": "application/pdf",
                "size": 13963126,
                "path": "Publication:Habel_2012_PSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Draft:thumb{{size}}.png"
            },
            {
                "description": "Practical Spectral Photography",
                "filetitle": "Practical Spectral Photography",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 850,
                "name": "Habel_2012_PSP-Practical Spectral Photography.jpg",
                "type": "image/jpeg",
                "size": 492549,
                "path": "Publication:Habel_2012_PSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/Habel_2012_PSP-Practical Spectral Photography:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Mofa"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Habel_2012_PSP/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2012-icb",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Coherence-Based Façade Modeling",
        "date": "2012-05",
        "abstract": "We propose a novel interactive framework for modeling building façades from images. Our method is based on the notion of coherence-based editing which allows exploiting partial symmetries across the façade at any level of detail. The proposed workflow mixes manual interaction with automatic splitting and grouping operations based on unsupervised cluster analysis. In contrast to previous work, our approach leads to detailed 3d geometric models with up to several thousand regions per façade. We compare our modeling scheme to others and evaluate our approach in a user study with an experienced user and several novice users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1411,
            "image_height": 600,
            "name": "musialski-2012-icb-image.png",
            "type": "image/png",
            "size": 797798,
            "path": "Publication:musialski-2012-icb",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            193,
            194
        ],
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "event": "Eurographics 2012",
        "journal": "Computer Graphics Forum (Proceedings of EUROGRAPHICS 2012)",
        "lecturer": [
            844
        ],
        "location": "Cagliari, Sardinia, Italy",
        "number": "2",
        "pages_from": "661",
        "pages_to": "670",
        "volume": "31",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "facade modeling",
            "urban modeling",
            "facade reconstruction",
            "image-based modeling"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2012.03045.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": {
            "0": {
                "description": "[31 MB] The definitive version is available at http://diglib.eg.org  and  http://onlinelibrary.wiley.com",
                "filetitle": "draft-hires",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-icb-draft-hires.pdf",
                "type": "application/pdf",
                "size": 32048156,
                "path": "Publication:musialski-2012-icb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-hires.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-hires:thumb{{size}}.png"
            },
            "1": {
                "description": "[4 MB] The definitive version is available at http://diglib.eg.org  and  http://onlinelibrary.wiley.com",
                "filetitle": "draft-lowres",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-icb-draft-lowres.pdf",
                "type": "application/pdf",
                "size": 3913005,
                "path": "Publication:musialski-2012-icb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-lowres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-draft-lowres:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1411,
                "image_height": 600,
                "name": "musialski-2012-icb-image.png",
                "type": "image/png",
                "size": 797798,
                "path": "Publication:musialski-2012-icb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-image:thumb{{size}}.png"
            },
            "4": {
                "description": "[25 MB]",
                "filetitle": "supplemental-material",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-icb-supplemental-material.pdf",
                "type": "application/pdf",
                "size": 26415138,
                "path": "Publication:musialski-2012-icb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-supplemental-material.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/musialski-2012-icb-supplemental-material:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-icb/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2012-sur",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Urban Reconstruction",
        "date": "2012-05",
        "abstract": "This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under very active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision, and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Overview",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1256,
            "image_height": 541,
            "name": "musialski-2012-sur-image.jpg",
            "type": "image/jpeg",
            "size": 342681,
            "path": "Publication:musialski-2012-sur",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            194,
            955,
            193,
            954,
            190
        ],
        "booktitle": "EUROGRAPHICS 2012 State of the Art Reports",
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "lecturer": [
            844,
            193
        ],
        "location": "Cagliari, Sardinia, Italy",
        "pages_from": "1",
        "pages_to": "28",
        "publisher": "Eurographics Association",
        "series": "EG STARs",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [
            "facade modeling",
            "structure from motion",
            "multi-view stereo",
            "urban reconstruction",
            "inverse-procedural modeling",
            "urban modeling",
            "image-based modeling",
            "city reconstruction",
            "state-of-the-art report"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "final draft of the paper [12 MB]",
                "filetitle": "draft-hires",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-sur-draft-hires.pdf",
                "type": "application/pdf",
                "size": 13214728,
                "path": "Publication:musialski-2012-sur",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-hires.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-hires:thumb{{size}}.png"
            },
            "1": {
                "description": "final draft of the paper [3 MB]",
                "filetitle": "draft-lowres",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-sur-draft-lowres.pdf",
                "type": "application/pdf",
                "size": 3385603,
                "path": "Publication:musialski-2012-sur",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-lowres.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-draft-lowres:thumb{{size}}.png"
            },
            "2": {
                "description": "Overview",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1256,
                "image_height": 541,
                "name": "musialski-2012-sur-image.jpg",
                "type": "image/jpeg",
                "size": 342681,
                "path": "Publication:musialski-2012-sur",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-image:thumb{{size}}.png"
            },
            "4": {
                "description": "presentation slides [10 MB]",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2012-sur-slides.pdf",
                "type": "application/pdf",
                "size": 9723563,
                "path": "Publication:musialski-2012-sur",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/musialski-2012-sur-slides:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski-2012-sur/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2012-mle",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Minimising Longest Edge for Closed Surface Construction from Unorganised 3D Point Sets",
        "date": "2012-05",
        "abstract": "Given an unorganised 3D point set with just coordinate data, we formulate the problem of closed surface construction as one requiring minimisation of longest edge in triangles, a criterion derivable from Gestalt laws for shape perception. Next we define the Minimum Boundary Complex (BCmin ), which resembles the desired surface Bmin considerably, by slightly relaxing the topological constraint to make it at least two triangles per edge instead of exactly two required by Bmin . A close approximation of BCmin can be computed fast using a greedy algorithm. This provides a very good starting shape which can be transformed by a few steps into the desired shape, close to Bmin. Our method runs in O(n log n) time, with Delaunay Graph construction as largest run-time factor. We show considerable improvement over previous methods, especially for sparse, non-uniform point spacing.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "3D Reconstruction",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 803,
            "image_height": 826,
            "name": "ohrhallinger_stefan-2012-mle-.jpg",
            "type": "image/jpeg",
            "size": 88261,
            "path": "Publication:ohrhallinger_stefan-2012-mle",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1024
        ],
        "booktitle": "Poster Proceedings",
        "date_from": "2012-05-13",
        "date_to": "2012-05-18",
        "event": "Eurographics 2012 (Best Poster Award)",
        "location": "Cagliari, Italy",
        "pages_from": "25",
        "pages_to": "26",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Point Cloud",
            "Point Set",
            "Reconstruction",
            "Surface Construction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "3D Reconstruction",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 803,
                "image_height": 826,
                "name": "ohrhallinger_stefan-2012-mle-.jpg",
                "type": "image/jpeg",
                "size": 88261,
                "path": "Publication:ohrhallinger_stefan-2012-mle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-:thumb{{size}}.png"
            },
            {
                "description": "Paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2012-mle-paper.pdf",
                "type": "application/pdf",
                "size": 233473,
                "path": "Publication:ohrhallinger_stefan-2012-mle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-paper:thumb{{size}}.png"
            },
            {
                "description": "Poster",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "ohrhallinger_stefan-2012-mle-poster.pdf",
                "type": "application/pdf",
                "size": 6760359,
                "path": "Publication:ohrhallinger_stefan-2012-mle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/ohrhallinger_stefan-2012-mle-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/ohrhallinger_stefan-2012-mle/",
        "__class": "Publication"
    },
    {
        "id": "Peter_2012_AIV",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantics by Analogy for Illustrative Volume Visualization",
        "date": "2012-05",
        "abstract": "We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and\ngraphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters\nof the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular,\nwe demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings.\nOur approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering\nfunctionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader\nencodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes\nwith rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on\nrenderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for\npotential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of\nrule-based mappings and avoid the limitations of a linguistic rule formulation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "Peter_2012_AIV-Image.jpg",
            "type": "image/jpeg",
            "size": 177301,
            "path": "Publication:Peter_2012_AIV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            649,
            488,
            960,
            166
        ],
        "journal": "Computers & Graphics",
        "number": "3",
        "pages_from": "201",
        "pages_to": "213",
        "volume": "36",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "shader augmentation",
            "semantic visualization mapping",
            "illustrative visualization",
            "Volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "Peter_2012_AIV-Image.jpg",
                "type": "image/jpeg",
                "size": 177301,
                "path": "Publication:Peter_2012_AIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Peter_2012_AIV-Paper.pdf",
                "type": "application/pdf",
                "size": 16916371,
                "path": "Publication:Peter_2012_AIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "Peter_2012_AIV-Video.avi",
                "type": "video/x-msvideo",
                "size": 9530552,
                "path": "Publication:Peter_2012_AIV",
                "preview_name": "Peter_2012_AIV-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 36302,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/Peter_2012_AIV-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Peter_2012_AIV/",
        "__class": "Publication"
    },
    {
        "id": "preiner_2012_AS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Auto Splats: Dynamic Point Cloud Visualization on the GPU",
        "date": "2012-05",
        "abstract": "Capturing real-world objects with laser-scanning technology has become an everyday task. Recently, the acquisition of dynamic scenes at interactive frame rates has become feasible. A high-quality visualization of the resulting point cloud stream would require a per-frame reconstruction of object surfaces. Unfortunately, reconstruction computations are still too time-consuming to be applied interactively. In this paper we present a local surface reconstruction and visualization technique that provides interactive feedback for reasonably sized point clouds, while achieving high image quality. Our method is performed entirely on the GPU and in screen pace, exploiting the efficiency of the common rasterization pipeline. The approach is very general, as no assumption is made about point connectivity or sampling density. This naturally allows combining the outputs of multiple scanners in a single visualization, which is useful for many virtual and augmented reality applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 982,
            "image_height": 832,
            "name": "preiner_2012_AS-image.png",
            "type": "image/png",
            "size": 1318166,
            "path": "Publication:preiner_2012_AS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799,
            356,
            193
        ],
        "booktitle": "Proceedings of Eurographics Symposium on Parallel Graphics and Visualization",
        "date_from": "2012-05-13",
        "date_to": "2012-05-14",
        "editor": "H. Childs and T. Kuhlen",
        "isbn": " 978-3-905674-35-4",
        "lecturer": [
            799
        ],
        "location": "Cagliari",
        "organization": "Eurographics Association 2012",
        "pages_from": "139",
        "pages_to": "148",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point clouds",
            "surface reconstruction",
            "point rendering",
            "Auto Splats",
            "KNN search",
            "GPU rendering",
            "point based rendering"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner_2012_AS-draft.pdf",
                "type": "application/pdf",
                "size": 14963547,
                "path": "Publication:preiner_2012_AS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-draft:thumb{{size}}.png"
            },
            "1": {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 982,
                "image_height": 832,
                "name": "preiner_2012_AS-image.png",
                "type": "image/png",
                "size": 1318166,
                "path": "Publication:preiner_2012_AS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-image:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "preiner_2012_AS-video.wmv",
                "type": "text/plain",
                "size": 48670503,
                "path": "Publication:preiner_2012_AS",
                "preview_name": "preiner_2012_AS-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/preiner_2012_AS-video:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "TERAPOINTS",
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/preiner_2012_AS/",
        "__class": "Publication"
    },
    {
        "id": "Fritz-2012",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Landspotting: Social gaming to collect vast amounts of data for satellite validation",
        "date": "2012-04-23 16:00",
        "abstract": "At present there is no single satellite-derived global land cover product that is accurate enough to provide reliable estimates of forest or cropland area to determine, e.g., how much additional land is available to grow biofuels or to tackle problems of food security. The Landspotting Project aims to improve the quality of this land cover information by vastly increasing the amount of in-situ validation data available for calibration and validation of satellite-derived land cover.  \r\nThe Geo-Wiki (Geo-Wiki.org) system currently allows users to compare three satellite derived land cover products and validate them using Google Earth. However, there is presently no incentive for anyone to provide this data so the amount of validation through Geo-Wiki has been limited. However, recent competitions have proven that incentive driven campaigns can rapidly create large amounts of input.\r\nThe LandSpotting Project is taking a truly innovative approach through the development of the Landspotting game. The game engages users whilst simultaneously collecting a large amount of in-situ land cover information. The development of the game is informed by the current raft of successful social gaming that is available on the internet and as mobile applications, many of which are geo-spatial in nature. Games that are integrated within a social networking site such as Facebook illustrate the power to reach and continually engage a large number of individuals. The number of active Facebook users is estimated to be greater than 400 million, where 100 million are accessing Facebook from mobile devices.\r\nThe Landspotting Game has similar game mechanics as the famous strategy game \"Civilization\" (i.e. build, harvest, research, war, diplomacy, etc.). When a player wishes to make a settlement, they must first classify the land cover over the area they wish to settle. As the game is played on the earth surface with Google Maps, we are able to record and store this land cover/land use classification geographically. Every player can play the game for free (i.e. a massive multiplayer online game). Furthermore, it is a social game on Facebook (e.g. invite friends, send friends messages, purchase gifts, help friends, post messages onto the wall, etc). The game is played in a web browser, therefore it runs everywhere (where Flash is supported) without requiring the user to install anything additional.\r\nAt the same time, the Geo-Wiki system will be modified to use the acquired in-situ validation information to create new outputs: a hybrid land cover map, which takes the best information from each individual product to create a single integrated version; a database of validation points that will be freely available to the land cover user community; and a facility that allows users to create a specific targeted validation area, which will then be provided to the crowdsourcing community for validation. These outputs will turn Geo-Wiki into a valuable system for earth system scientists.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Landspotting",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 186,
            "image_height": 100,
            "name": "Fritz-2012-.jpg",
            "type": "image/jpeg",
            "size": 5070,
            "path": "Publication:Fritz-2012",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            988,
            313,
            989,
            990,
            193,
            909,
            667,
            991,
            992,
            993,
            1000,
            995,
            996,
            997,
            998,
            999
        ],
        "event": "European Geosciences Union General Assembly 2012",
        "lecturer": [
            988
        ],
        "location": "Austria Center Vienna, Session ESSI2.9, room 7 ",
        "research_areas": [],
        "keywords": [
            "Social Games with Purpose",
            "Landspotting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Landspotting",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 186,
                "image_height": 100,
                "name": "Fritz-2012-.jpg",
                "type": "image/jpeg",
                "size": 5070,
                "path": "Publication:Fritz-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fritz-2012-abstract.pdf",
                "type": "application/pdf",
                "size": 36130,
                "path": "Publication:Fritz-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/Fritz-2012-abstract:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Landspotting"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Fritz-2012/",
        "__class": "Publication"
    },
    {
        "id": "Bruckner-2012-VEA",
        "type_id": "habilthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Exploration and Analysis of Volumetric Data",
        "date": "2012-04",
        "abstract": "Information technology has led to a rapid increase in the amount\r\nof data that arise in areas such as biology, medicine, climate science,\r\nand engineering. In many cases, these data are volumetric in\r\nnature, i.e., they describe the distribution of one or several quantities\r\nover a region in space. Volume visualization is the field of\r\nresearch which investigates the transformation of such data sets\r\ninto images for purposes such as understanding structure or identifying\r\nfeatures. This thesis presents work to aid this process by\r\nimproving the interactive depiction, analysis, and exploration of\r\nvolumetric data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Teaser Image",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 566,
            "image_height": 552,
            "name": "Bruckner-2012-VEA-Teaser.jpg",
            "type": "image/jpeg",
            "size": 197199,
            "path": "Publication:Bruckner-2012-VEA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "date_end": "2012",
        "date_start": "2008",
        "research_areas": [],
        "keywords": [
            "visual analysis",
            "visual exploration",
            "volume data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "High-resolution version of the habilitation thesis for printing",
                "filetitle": "Habilitation Thesis (Print Version)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner-2012-VEA-Habilitation Thesis (Print Version).pdf",
                "type": "application/pdf",
                "size": 145457226,
                "path": "Publication:Bruckner-2012-VEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Habilitation Thesis (Print Version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Habilitation Thesis (Print Version):thumb{{size}}.png"
            },
            {
                "description": "Low-resolution version of the habilitation thesis for screen viewing",
                "filetitle": "Habilitation Thesis (Screen Version)",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner-2012-VEA-Habilitation Thesis (Screen Version).pdf",
                "type": "application/pdf",
                "size": 19972260,
                "path": "Publication:Bruckner-2012-VEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Habilitation Thesis (Screen Version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Habilitation Thesis (Screen Version):thumb{{size}}.png"
            },
            {
                "description": "High-resolution version of the collection of selected additional scientific contributions",
                "filetitle": "Supplement (Print Version)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner-2012-VEA-Supplement (Print Version).pdf",
                "type": "application/pdf",
                "size": 47375418,
                "path": "Publication:Bruckner-2012-VEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Supplement (Print Version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Supplement (Print Version):thumb{{size}}.png"
            },
            {
                "description": "Low-resolution version of the collection of selected additional scientific contributions",
                "filetitle": "Supplement (Screen Version)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner-2012-VEA-Supplement (Screen Version).pdf",
                "type": "application/pdf",
                "size": 22565946,
                "path": "Publication:Bruckner-2012-VEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Supplement (Screen Version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Supplement (Screen Version):thumb{{size}}.png"
            },
            {
                "description": "Teaser Image",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 566,
                "image_height": 552,
                "name": "Bruckner-2012-VEA-Teaser.jpg",
                "type": "image/jpeg",
                "size": 197199,
                "path": "Publication:Bruckner-2012-VEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/Bruckner-2012-VEA-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Bruckner-2012-VEA/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-12-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Screen-Space Triangulation for High-Quality Rendering of Point Clouds",
        "date": "2012-04",
        "abstract": "This technical report documents work that is a precursor to the Auto Splatting technique. We present a rendering method that reconstructs high quality images from unorganized colored point data. While previous real-time image reconstruction approaches for point clouds make use of preprocessed data like point radii or normal estimations, our algorithm only requires position and color data as input and produces a reconstructed color image, normal map and depth map which can instantly be used to apply further deferred lighting passes. Our method performs a world-space neighbor search\nand a subsequent normal estimation in screen-space, and uses the geometry shader to triangulate the color, normal\nand depth information of the points. To achieve correct visibility and closed surfaces in the projected image a temporal coherence approach reuses triangulated depth information and provides adaptive neighbor search radii. Our algorithm is especially suitable for insitu high-quality visualization of big datasets like 3D-scans, making otherwise time-consuming preprocessing steps to reconstruct surface normals or point radii dispensable.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 747,
            "image_height": 518,
            "name": "TR-186-2-12-01-.png",
            "type": "image/png",
            "size": 429373,
            "path": "Publication:TR-186-2-12-01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799,
            193
        ],
        "number": "TR-186-2-12-01",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "screen triangulation",
            "point rendering",
            "nearest neighbors",
            "screen-space",
            "point clouds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 747,
                "image_height": 518,
                "name": "TR-186-2-12-01-.png",
                "type": "image/png",
                "size": 429373,
                "path": "Publication:TR-186-2-12-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "tech-report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-12-01-tech-report.pdf",
                "type": "application/pdf",
                "size": 8849194,
                "path": "Publication:TR-186-2-12-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-tech-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/TR-186-2-12-01-tech-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/TR-186-2-12-01/",
        "__class": "Publication"
    },
    {
        "id": "reisner-2012-iwssip",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Segmenting Multiple Range Images with Primitive Shapes",
        "date": "2012-04",
        "abstract": "We introduce a novel method for automatically segmenting multiple registered range images by detecting and optimizing geometric primitives. The resulting shapes provide high level information about scanned objects and are a valuable input for surface reconstruction, hole filling, or shape analysis. We begin by generating a global graph of sample points covering all input frames. The graph structure allows to compute a globally consistent segmentation with a memory and time-efficient solution, even for large sets of input images. We iteratively detect shapes with a Ransac-approach, optimize the assignments of graph nodes to shapes, and optimize the shape parameters. Finally, pixel-accurate segmentations can be extracted for each source image individually. By using range images instead of unstructured point clouds as input, we can exploit additional information such as connectivity or varying precision of depth measurements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 850,
            "image_height": 640,
            "name": "reisner-2012-iwssip-image.png",
            "type": "image/png",
            "size": 911961,
            "path": "Publication:reisner-2012-iwssip",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            228
        ],
        "booktitle": "Proceedings of 19th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)",
        "date_from": "2012-04-11",
        "date_to": "2012-04-13",
        "isbn": "978-3-200-02588-2",
        "lecturer": [
            847
        ],
        "location": "Vienna",
        "research_areas": [],
        "keywords": [
            "surface fitting",
            "range data",
            "segmentation",
            "shape detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 850,
                "image_height": 640,
                "name": "reisner-2012-iwssip-image.png",
                "type": "image/png",
                "size": 911961,
                "path": "Publication:reisner-2012-iwssip",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2012-iwssip-paper.pdf",
                "type": "application/pdf",
                "size": 2294181,
                "path": "Publication:reisner-2012-iwssip",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/reisner-2012-iwssip-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/reisner-2012-iwssip/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2012-EOV",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Online Visibility for Shadow Maps",
        "date": "2012-02",
        "abstract": "Standard online occlusion culling is able to vastly improve the rasterization performance of walkthrough applications by identifying large parts of the scene as invisible from the camera and rendering only the visible geometry. However, it is of little use for the acceleration of shadow map generation (i.e., rasterizing the scene from the light view [Williams 78]), so that typically a high percentage of the geometry will be visible when rendering shadow maps. For example, in outdoor scenes typical viewpoints are near the ground and therefore have significant occlusion, while light viewpoints are higher up and see most of the geometry. Our algorithm remedies this situation by quickly detecting and culling the geometry that does not contribute to the shadow in the final image.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1273,
            "image_height": 689,
            "name": "MATTAUSCH-2012-EOV-image.png",
            "type": "image/png",
            "size": 184051,
            "path": "Publication:MATTAUSCH-2012-EOV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            198,
            897,
            452,
            193
        ],
        "booktitle": "GPU Pro 3: Advanced Rendering Techniques",
        "editor": "Wolfgang Engel",
        "isbn": "978-1439887820",
        "pages_from": "233",
        "pages_to": "242",
        "publisher": "CRC Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadow maps",
            "visibility culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1273,
                "image_height": 689,
                "name": "MATTAUSCH-2012-EOV-image.png",
                "type": "image/png",
                "size": 184051,
                "path": "Publication:MATTAUSCH-2012-EOV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/MATTAUSCH-2012-EOV-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/MATTAUSCH-2012-EOV/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer_2012_IVA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "INTERACTIVE VISUAL ANALYSIS OF INTENSIVE CARE UNIT DATA: Relationship Between Serum Sodium Concentration, its Rate of Change, and Survival Outcome",
        "date": "2012-02",
        "abstract": "In this paper we present a case study of interactive visual analysis and exploration of a large ICU data set. The\r\ndata consists of patients’ records containing scalar data representing various patients’ parameters (e.g. gender,\r\nage, weight), and time series data describing logged parameters over time (e.g. heart rate, blood pressure).\r\nDue to the size and complexity of the data, coupled with limited time and resources, such ICU data is often not\r\nutilized to its full potential, although its analysis could contribute to a better understanding of physiological,\r\npathological and therapeutic processes, and consequently lead to an improvement of medical care. During the\r\nexploration of this data we identified several analysis tasks and adapted and improved a coordinated multiple\r\nviews system accordingly. Besides a curve view which also supports time series with gaps, we introduced a\r\nsummary view which allows an easy comparison of subsets of the data and a box plot view in a coordinated\r\nmultiple views setup. Furthermore, we introduced an inverse brush, a secondary brush which automatically\r\nselects non-brushed items, and updates itself accordingly when the original brush is modified. The case\r\nstudy describes how we used the system to analyze data from 1447 patients from the ICU at Guy’s & St.\r\nThomas’ NHS Foundation Trust in London. We were interested in the relationship between serum sodium\r\nconcentration, its rate of change and their effect on ICU mortality rates. The interactive visual analysis led us\r\nto findings which were fascinating for medical experts, and which would be very difficult to discover using\r\nconventional analysis methods usually applied in the medical field. The overall feedback from domain experts\r\n(coauthors of the paper) is very positive.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Purgathofer_2012_IVA-Paper.pdf",
            "type": "application/pdf",
            "size": 692207,
            "path": "Publication:Purgathofer_2012_IVA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/Purgathofer_2012_IVA-Paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/Purgathofer_2012_IVA-Paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            937,
            748,
            1052,
            190,
            1062
        ],
        "booktitle": "Proceeding of IVAAP 2012",
        "date_from": "2012-02-24",
        "date_to": "2012-02-26",
        "event": "IVAPP 2012",
        "journal": "Proceedings of IVAPP 2012 / SciTePress",
        "lecturer": [
            235
        ],
        "location": "Rome, Italy",
        "pages_from": "648",
        "pages_to": "659",
        "research_areas": [],
        "keywords": [
            "Coordinated Multiple Views",
            "Intensive Care Unit Data",
            "Interactive Visual Analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer_2012_IVA-Paper.pdf",
                "type": "application/pdf",
                "size": 692207,
                "path": "Publication:Purgathofer_2012_IVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/Purgathofer_2012_IVA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/Purgathofer_2012_IVA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Purgathofer_2012_IVA/",
        "__class": "Publication"
    },
    {
        "id": "liu-2012-tcvd",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tensor Completion for Estimating Missing Values in Visual Data",
        "date": "2012-01",
        "abstract": "In this paper we propose an algorithm to estimate missing values in tensors of visual data. Our methodology is built on recent studies about matrix completion using the matrix trace norm. The contribution of our paper is to extend the matrix case to the tensor case by proposing the first definition of the trace norm for tensors and then by building a working algorithm. First, we propose a definition for the tensor trace norm, that generalizes the established definition of the matrix trace norm. Second, similar to matrix completion, the tensor completion is formulated as a convex optimization problem. We developed three algorithms: SiLRTC, FaLRTC, and HaLRTC. The SiLRTC algorithm is simple to implement and employs a relaxation technique to separate the dependant relationships and uses the block coordinate descent (BCD) method to achieve a globally optimal solution; The FaLRTC algorithm utilizes a smoothing scheme to transform the original nonsmooth problem into a smooth one; The HaLRTC algorithm applies the alternating direction method of multipliers (ADMM) to our problem. Our experiments show potential applications of our algorithms and the quantitative evaluation indicates that our methods are more accurate and robust than heuristic approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 90,
            "name": "liu-2012-tcvd-image.jpg",
            "type": "image/jpeg",
            "size": 19710,
            "path": "Publication:liu-2012-tcvd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            985,
            844,
            194,
            986
        ],
        "issn": "0162-8828",
        "journal": "IEEE Transactions on Pattern Analysis & Machine Intelligence (PAMI)",
        "number": "1",
        "pages_from": "208",
        "pages_to": "220",
        "volume": "35",
        "research_areas": [],
        "keywords": [
            "matrix completion",
            "trace norm",
            "tensor completion"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6138863",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 90,
                "name": "liu-2012-tcvd-image.jpg",
                "type": "image/jpeg",
                "size": 19710,
                "path": "Publication:liu-2012-tcvd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 653,
                "image_height": 429,
                "name": "liu-2012-tcvd-image.png",
                "type": "image/png",
                "size": 352833,
                "path": "Publication:liu-2012-tcvd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "liu-2012-tcvd-preprint.pdf",
                "type": "application/pdf",
                "size": 2140279,
                "path": "Publication:liu-2012-tcvd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/liu-2012-tcvd-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/liu-2012-tcvd/",
        "__class": "Publication"
    },
    {
        "id": "kehrer-2012-mod",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Generic Model for the Integrati on of Interactive Visualization and Statistical Computing Using R",
        "date": "2012",
        "abstract": "This poster describes general concepts of integrating the statistical computation package R into a coordinated multiple views framework. The integration is based on a cyclic analysis workflow. In this model, interactive selections are a key aspect to trigger and control computations in R. Dynamic updates of data columns are a generic mechanism to transfer computational results back to the interactive visualization. Further aspects include the integration of the R console and an R object browser as views in our system. We illustrate our approach by means of an interactive modeling process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 690,
            "image_height": 347,
            "name": "kehrer-2012-mod-.jpg",
            "type": "image/jpeg",
            "size": 59454,
            "path": "Publication:kehrer-2012-mod",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/kehrer-2012-mod/kehrer-2012-mod-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/kehrer-2012-mod/kehrer-2012-mod-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            1099,
            962,
            451
        ],
        "booktitle": "Proc. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST)",
        "date_from": "2012-10-14",
        "date_to": "2012-10-19",
        "event": "IEEE VAST 2013",
        "lecturer": [
            983
        ],
        "pages_from": "233",
        "pages_to": "234",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 690,
                "image_height": 347,
                "name": "kehrer-2012-mod-.jpg",
                "type": "image/jpeg",
                "size": 59454,
                "path": "Publication:kehrer-2012-mod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/kehrer-2012-mod/kehrer-2012-mod-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/kehrer-2012-mod/kehrer-2012-mod-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/kehrer-2012-mod/",
        "__class": "Publication"
    },
    {
        "id": "manpreet_kainth-2012-rus",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering of Urban Scenes",
        "date": "2012",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1344,
            "image_height": 1008,
            "name": "manpreet_kainth-2012-rus-.png",
            "type": "image/png",
            "size": 1100861,
            "path": "Publication:manpreet_kainth-2012-rus",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1022
        ],
        "date_end": "2012-07-23",
        "date_start": "2012-06-01",
        "matrikelnr": "0000",
        "supervisor": [
            844
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1344,
                "image_height": 1008,
                "name": "manpreet_kainth-2012-rus-.png",
                "type": "image/png",
                "size": 1100861,
                "path": "Publication:manpreet_kainth-2012-rus",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/manpreet_kainth-2012-rus-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/manpreet_kainth-2012-rus/",
        "__class": "Publication"
    },
    {
        "id": "Tragust-2012-GMHPC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graph Models for Guided Point Cloud Navigation",
        "date": "2012",
        "abstract": "Navigation in huge point cloud models can be difficult to the extent that users get lost within the point cloud. In this project graphs are manually defined that describe major paths through the model that the user cannot leave. The user is guided along the paths to the most important areas of the point cloud.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            867
        ],
        "date_end": "2012-06-28",
        "date_start": "2010-07-07",
        "matrikelnr": "0827047",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Tragust-2012-GMHPC/",
        "__class": "Publication"
    },
    {
        "id": "trumpf_stefan_2012",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Labeling and Leveling of Meshes",
        "date": "2012",
        "abstract": "The aim of this project was the extension of the functional range of an existing library used for labeling. Labeling in this context refers to the problem of texturing a mesh of an archaeological item, given a huge set of photos such that there is a vast amount of possibilities to choose a suitable photo for each triangle.\r\n\r\nThe first step was the implementation of a masking-feature. This feature is necessary, since not all regions in the photos are equivalently suited to texture the mesh. The masks are provided by the user of the library and show the regions in the photos that can be used for texturing of the model.\r\n\r\nThe second step was the implementation of an interacitve brushing tool. This brushing tool enables the user to enlarge the region that is textured by a particular photo (growing brush), or to replace the current photo that is used for texturing of a particular region with the photo, which is the next optimal photo suitable for texturing. The brushing tool was implemented into Scanopy, a point cloud editor that is developed at the institute.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1089
        ],
        "date_end": "2013-10-01",
        "date_start": "2012-10-01",
        "matrikelnr": "0400951",
        "supervisor": [
            836
        ],
        "research_areas": [],
        "keywords": [
            "Meshes",
            "Leveling",
            "Labeling"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/trumpf_stefan_2012/",
        "__class": "Publication"
    },
    {
        "id": "WEBER-2012-MIC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Micropolis",
        "date": "2012",
        "abstract": "Micropolis is a micropolygon rasterizer implemented in OpenCL.\r\n\r\nIt uses the REYES algorithm to rasterize curved surfaces. This is\r\ndone by splitting the surface into sub-pixel sized polygons (micropolygons)\r\nand rasterizing them. This allows the rendering of highly detailed, displaced\r\nsurfaces.\r\n\r\nThe dicing, shading and rasterization of the micropolygons is implemented in\r\nOpenCL. The rasterizer fills a framebuffer that is then rendered as\r\ntexture in OpenGL.\r\nThere also exists an alternative render backend that uses OpenGL hardware\r\ntessellation for performance comparison.\r\n\r\nThe code is available on github: https://github.com/ginkgo/micropolis\r\n\r\nA video is available on youtube: http://www.youtube.com/watch?v=09ozb1ttgmA\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 320,
            "image_height": 240,
            "name": "WEBER-2012-MIC-image.png",
            "type": "image/png",
            "size": 67486,
            "path": "Publication:WEBER-2012-MIC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/WEBER-2012-MIC/WEBER-2012-MIC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/WEBER-2012-MIC/WEBER-2012-MIC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            743
        ],
        "matrikelnr": "0526341",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "micropolygon rendering",
            "reyes"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 320,
                "image_height": 240,
                "name": "WEBER-2012-MIC-image.png",
                "type": "image/png",
                "size": 67486,
                "path": "Publication:WEBER-2012-MIC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/WEBER-2012-MIC/WEBER-2012-MIC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/WEBER-2012-MIC/WEBER-2012-MIC-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/WEBER-2012-MIC/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2012",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2012",
        "date": "2012",
        "abstract": "The foreground is dominated by a hand-drawn Christmas-decorated Mayan calendar. The Christmas ornaments are ray-traced. The sky is created by combining a visualization of the hurricane Isabel dataset with a hand-drawn background. The visualization of the hurricane dataset is a combination of several direct volume rendered images of various scalar fields. The Vienna skyline is composed of curves while a simple procedural texture is used to generate the windows. The flames are hand-drawn.\r\n\r\nIm Vordergrund dominiert ein handgezeichneter, weihnachtlich verzierter, Maya-Kalender. Die Weihnachtsornamente werden mittels Ray-Tracing dargestellt. Der Himmel setzt sich aus der Visualisierung des Isabel-Wirbelsturms und einem handgezeichneten Hintergrund zusammen. Die Visualisierung des Wirbelsturms ist eine Kombination aus verschiedenen Bildern, welche mittels direktem Volumenrendering unterschiedlicher Skalarfelder erzeugt wurden. Die Silhouette Wiens ist eine Zusammensetzung von Kurven, wobei für die Generierung der Fenster eine einfache prozedurale Textur benutzt wurde. Die Flammen sind handgezeichnet.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "xmas-2012-image.png",
            "type": "image/png",
            "size": 1998979,
            "path": "Publication:xmas-2012",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2012-card.pdf",
                "type": "application/pdf",
                "size": 46945736,
                "path": "Publication:xmas-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-card:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "xmas-2012-image.png",
                "type": "image/png",
                "size": 1998979,
                "path": "Publication:xmas-2012",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/xmas-2012-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/xmas-2012/",
        "__class": "Publication"
    },
    {
        "id": "FISCHL-2012-CTASEG",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallelized Segmentation of CT-Angiography Datasets Using CUDA",
        "date": "2012",
        "abstract": "Segmentation of CT-Angiography datasets is an important and difficult task. Several algorithms and approaches have already been invented and implemented to solve this problem. In this work, we\r\npresent automatic algorithms for the segmentation of these CTA datasets,\r\nimplemented in CUDA, and evaluate our results regarding speed and\r\nerror rates. Starting with local approaches like thresholding we pro-\r\nceed to global, object-based algorithms, like region growing and a\r\nnewly developed algorithm based on dual energy CT scans (DECT), the XOR-Algorithm, presented by Karimov et al.[6] A limitation of using graphics hardware is the restricted amount of memory, which led us to use a slab-based processing approach (see section 5.3). The requirement of this work was a complete GPU implementation. But since not every task is appropriate for parallelizing, it was necessary\r\nto use iteratively parallel algorithms. This strategy though introduced\r\nspeed problems that had to be analyzed and were partly solved. This\r\nwork presents the principle of these GPU methods and compares them\r\nto their CPU counterparts. In the end, the quality of each algorithm is analyzed and they are compared against each other, in order to \ffind an acceptable completely automatic segmentation algorithm for distinguishing between different types of tissues (e.g. vessels, bones, soft\r\ntissue, ...).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "FISCHL-2012-CTASEG-.pdf",
            "type": "application/pdf",
            "size": 4541833,
            "path": "Publication:FISCHL-2012-CTASEG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            921
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "FISCHL-2012-CTASEG-.pdf",
                "type": "application/pdf",
                "size": 4541833,
                "path": "Publication:FISCHL-2012-CTASEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/FISCHL-2012-CTASEG-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/FISCHL-2012-CTASEG/",
        "__class": "Publication"
    },
    {
        "id": "Ford-2012-HRV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "HeartPad: Real-Time Visual Guidance for Cardiac Ultrasound",
        "date": "2012",
        "abstract": "Medical ultrasound is a challenging modality when it comes to image interpretation. The goal we address in this work is to assist the ultrasound examiner and partially alleviate the burden of interpretation. We propose to address this goal with visualization that provides clear cues on the orientation and the correspondence between anatomy and the data being imaged. Our system analyzes the stream of 3D ultrasound data and in real-time identifies distinct features that are basis for a dynamically deformed mesh model of the heart. The heart mesh is composited with the original ultrasound data to create the data-to-anatomy correspondence. The visualization is broadcasted over the internet allowing, among other opportunities, a direct visualization on the patient on a tablet computer. The examiner interacts with the transducer and with the visualization parameters on the tablet. Our system has been characterized by domain specialist as useful in medical training and for navigating occasional ultrasound users.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Real-time visual guidance for ultrasound examinations on an iPad",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 525,
            "image_height": 392,
            "name": "Ford-2012-HRV-Teaser.jpg",
            "type": "image/jpeg",
            "size": 74368,
            "path": "Publication:Ford-2012-HRV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1067,
            1068,
            171,
            161,
            1069
        ],
        "booktitle": "Proceedings of the Workshop at SIGGRAPH Asia 2012",
        "lecturer": [
            1067
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "medical visualization",
            "ultrasound"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ford-2012-HRV-Paper.pdf",
                "type": "application/pdf",
                "size": 5227525,
                "path": "Publication:Ford-2012-HRV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Paper:thumb{{size}}.png"
            },
            {
                "description": "Real-time visual guidance for ultrasound examinations on an iPad",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 525,
                "image_height": 392,
                "name": "Ford-2012-HRV-Teaser.jpg",
                "type": "image/jpeg",
                "size": 74368,
                "path": "Publication:Ford-2012-HRV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Demontration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 288,
                "name": "Ford-2012-HRV-Video.mp4",
                "type": "video/mp4",
                "size": 37926015,
                "path": "Publication:Ford-2012-HRV",
                "preview_name": "Ford-2012-HRV-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 20136,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video.mp4",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/Ford-2012-HRV-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ford-2012-HRV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2012_KAV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge-Assisted Visualization and Biopsy Planning",
        "date": "2012",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2012-10-04",
        "date_to": "2012-10-04",
        "event": "Mini-Symposium on Medical Visualization, University of Bergen",
        "location": "Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Groeller_2012_KAV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2012_VBP",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization in Biopsy Planning",
        "date": "2012",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2012-06-13",
        "date_to": "2012-06-13",
        "event": "Medical Visualization Minisymposium, Eindhoven University of Technology",
        "location": "The Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Groeller_2012_VBP/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2012_ViV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Variability in Visualization",
        "date": "2012",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2012-01-20",
        "date_to": "2012-01-20",
        "event": "Computer Graphics and Visualization Group, Technische Universität München",
        "location": "Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Groeller_2012_ViV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2012_VV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": " Variability in Visualization",
        "date": "2012",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2012-01-18",
        "date_to": "2012-01-18",
        "event": "Computer Graphics and HCI Group, Technische Universität Kaiserslautern",
        "location": "Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Groeller_2012_VV/",
        "__class": "Publication"
    },
    {
        "id": "dellmour-2012-mcr",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Determining the comfort range of customer stereoscopic displays",
        "date": "2012",
        "abstract": "An experiment from vision literature was reproduced to investigate whether and how accurate we can determine the comfort zone where the vergence-accomodation conflict is low for customer stereo displays (anaglyph + autostereo). ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 771,
            "image_height": 778,
            "name": "dellmour-2012-mcr-image.png",
            "type": "image/png",
            "size": 25445,
            "path": "Publication:dellmour-2012-mcr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1017
        ],
        "date_end": "2012-06",
        "date_start": "2012-02",
        "matrikelnr": "0628020",
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [
            "Vergence-accomodation conflict",
            "Stereoscopy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dellmour-2012-mcr-.pdf",
                "type": "application/pdf",
                "size": 147096,
                "path": "Publication:dellmour-2012-mcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 771,
                "image_height": 778,
                "name": "dellmour-2012-mcr-image.png",
                "type": "image/png",
                "size": 25445,
                "path": "Publication:dellmour-2012-mcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/dellmour-2012-mcr-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/dellmour-2012-mcr/",
        "__class": "Publication"
    },
    {
        "id": "EISEMANN-2012-ERT",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Real-Time Shadows",
        "date": "2012",
        "abstract": "This course is a resource for applying efficient, real-time shadow algorithms. It builds on a solid foundation (previous courses at SIGGRAPH Asia 2009 and Eurographics 2010, including comprehensive course notes) and the 2011 book Real-Time Shadows (AK Peters) written by four of the presenters. The book is a compendium of many topics in the realm of shadow computation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1071,
            "name": "EISEMANN-2012-ERT-image.png",
            "type": "image/png",
            "size": 935123,
            "path": "Publication:EISEMANN-2012-ERT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/EISEMANN-2012-ERT/EISEMANN-2012-ERT-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/EISEMANN-2012-ERT/EISEMANN-2012-ERT-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            823,
            824,
            825,
            1141,
            193
        ],
        "booktitle": "ACM SIGGRAPH 2012 Courses",
        "date_from": "2012-08-05",
        "date_to": "2012-08-09",
        "isbn": "978-1-4503-1678-1",
        "location": "Los Angeles, CA",
        "pages_from": "18:1",
        "pages_to": "18:53",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1071,
                "name": "EISEMANN-2012-ERT-image.png",
                "type": "image/png",
                "size": 935123,
                "path": "Publication:EISEMANN-2012-ERT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/EISEMANN-2012-ERT/EISEMANN-2012-ERT-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/EISEMANN-2012-ERT/EISEMANN-2012-ERT-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/EISEMANN-2012-ERT/",
        "__class": "Publication"
    },
    {
        "id": "mindek_peter-2012-visgroupproj",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "VisGroup: visualization research projects",
        "date": "2012",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            935
        ],
        "date_from": "2012-10-09",
        "event": "Vision and Graphics Group Seminar",
        "location": "Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mindek_peter-2012-visgroupproj/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2012-cr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Centerline Reformations of Complex Vascular Structures",
        "date": "2012",
        "abstract": "Visualization of vascular structures is a common and frequently performed task in the field of medical imaging. There exist well established and applicable methods such as Maximum Intensity Projection (MIP) and Curved Planar Reformation (CPR). However, when calcified vessel walls are investigated, occlusion hinders exploration of the vessel interior with MIP. In contrast, CPR offers the possibility to visualize the vessel lumen by cutting a single vessel along its centerline. Extending the idea of CPR, we propose a novel technique, called Centerline Reformation (CR), which is capable of visualizing the lumen of spatially arbitrarily oriented vessels not necessarily connected in a tree structure. In order to visually emphasize depth, overlap and occlusion, halos can optionally envelope the vessel lumen. The required vessel centerlines are obtained from volumetric data by performing a scale-space based feature extraction. We present the application of the proposed technique in a focus and context setup. Further, we demonstrate how it facilitates the investigation of dense vascular structures, particularly cervical vessels or vessel data featuring peripheral arterial occlusive diseases or pulmonary embolisms. Finally, feedback from domain experts is given.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 743,
            "image_height": 692,
            "name": "mistelbauer-2012-cr-image.png",
            "type": "image/png",
            "size": 837788,
            "path": "Publication:mistelbauer-2012-cr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869,
            806,
            902,
            1048,
            169,
            1047,
            164,
            166,
            170
        ],
        "booktitle": "Pacific Visualization Symposium (PacificVis), 2012 IEEE",
        "date_from": "2012-02-28",
        "date_to": "2012-03-02",
        "isbn": "978-1-4673-0863-2",
        "lecturer": [
            869
        ],
        "location": "Songdo, Korea (South) ",
        "pages_from": "233",
        "pages_to": "240",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 743,
                "image_height": 692,
                "name": "mistelbauer-2012-cr-image.png",
                "type": "image/png",
                "size": 837788,
                "path": "Publication:mistelbauer-2012-cr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-image:thumb{{size}}.png"
            },
            {
                "description": "Full paper preprint.",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2012-cr-paper.pdf",
                "type": "application/pdf",
                "size": 5059400,
                "path": "Publication:mistelbauer-2012-cr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-paper:thumb{{size}}.png"
            },
            {
                "description": "The questionnaire, which was used for our evaluation.",
                "filetitle": "questionnaire",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2012-cr-questionnaire.pdf",
                "type": "application/pdf",
                "size": 5674677,
                "path": "Publication:mistelbauer-2012-cr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-questionnaire.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-questionnaire:thumb{{size}}.png"
            },
            {
                "description": "Teaser image.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1493,
                "image_height": 346,
                "name": "mistelbauer-2012-cr-teaser.PNG",
                "type": "image/png",
                "size": 909505,
                "path": "Publication:mistelbauer-2012-cr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-teaser.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/mistelbauer-2012-cr-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/mistelbauer-2012-cr/",
        "__class": "Publication"
    },
    {
        "id": "muigg-2012-svr",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scalability for Volume Rendering and Information Visualization Approaches in the Context of Scientific Data",
        "date": "2012",
        "abstract": "Data from numerical simulations that model physical processes has to be explored and analyzed\r\nin a broad range of different fields of research and development. Besides data mining and statistics,\r\nvisualization is among the most important methods that grant domain experts insight into\r\ntheir complex simulation results. In order to keep up with ongoing improvements of simulation\r\nmethods as well as ever increasing amounts of data, state-of-the-art visualization techniques\r\nhave to be scalable with respect to many different properties. Many numerical models rely on\r\na domain decomposition defined by a volumetric grid. Finer grids yield more accurate simulation\r\nresults at the cost of longer computing times. The wide availability of high-performance\r\ncomputing resources has resulted in increasingly detailed data sets. The first volume rendering\r\napproach that is presented in this thesis uses bricking and resampling to cope with such high\r\nresolution data. Important regions of the simulated volume are visualized in as much detail as\r\npossible whereas lower resolution representations are used for less important portions of a data\r\nset. This allows for interactive frame rates even when dealing with the highly detailed grids\r\nthat are used by state-of-the-art simulation models. Grid resolution, however, is only one aspect\r\nthat has increased due to the ongoing development of numerical methods. Grid complexity has\r\nincreased as well. While initial simulation techniques have required simple tetrahedral meshes\r\ncurrent methods can cope with polyhedral cells that allow for increased solver efficiency and\r\nsimulation accuracy. The second volume visualization algorithm that is presented in this thesis\r\nis scalable with respect to grid complexity since it is capable of directly visualizing data defined\r\non grids which comprise polyhedral cells. Raycasting is performed by using a novel data structure\r\nthat allows for easy grid traversal while retaining a very compact memory footprint. Both\r\naforementioned volume rendering techniques utilize the massively parallel computing resources\r\nthat are provided by modern graphics processing units.\r\nMany information visualization methods are designed to explore and analyze abstract data\r\nthat is often high dimensional. Since improvements in the field of numerical modelling have led\r\nto simulation data sets that contain a large number of physical attributes the application of techniques\r\nfrom the field of information visualization can provide additional important information\r\nto domain experts. However, in order to apply information visualization methods to scientific\r\ndata such as numerical simulation results, additional scalability issues have to be addressed.\r\nThis thesis introduces multiple methods that can be used to reduce cluttering and overdrawing\r\nproblems for line-based techniques such as phase-space diagrams, parallel coordinates and a\r\nnovel time-series visualization. The trajectories of important trends in the data are illustrated by\r\nblurring a noise texture along them. A novel coloring scheme is used to provide visual linking-information across multiple visualizations in a multi-view framework. The proposed approaches\r\nare primarily image-based which makes them very scalable with respect to data set sizes.\r\nThe usefulness and real-world applicability of the techniques that are introduced in this\r\nthesis is demonstrated in a case study. A complex computational fluid dynamics data set, which\r\ncontains several simulated breathing cycles within the human upper respiratory tract, is analyzed.\r\nThe exploration of the data has yielded several hypothesis that are of importance to an ENT\r\nspecialist. Many of the techniques presented in this work have also been used in the context of\r\nadditional collaborations in a multitude of fields such as medicine, climatology, meteorology,\r\nand engineering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1262,
            "image_height": 1608,
            "name": "muigg-2012-svr-image.jpg",
            "type": "image/jpeg",
            "size": 1573603,
            "path": "Publication:muigg-2012-svr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            662
        ],
        "date_end": "2012",
        "date_start": "2007",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            226
        ],
        "rigorosum": "2012-06-15",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1262,
                "image_height": 1608,
                "name": "muigg-2012-svr-image.jpg",
                "type": "image/jpeg",
                "size": 1573603,
                "path": "Publication:muigg-2012-svr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "muigg-2012-svr-Thesis.pdf",
                "type": "application/pdf",
                "size": 43185667,
                "path": "Publication:muigg-2012-svr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/muigg-2012-svr-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/muigg-2012-svr/",
        "__class": "Publication"
    },
    {
        "id": "musialski_2012_aachen",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-Based Approaches for Facade Reconstruction",
        "date": "2012",
        "abstract": "Modeling and reconstruction of urban environments is currently the subject of intensive\r\nresearch. There is a wide range of possible applications, like cyber-tourism, computer\r\ngames, and the entertainment industries in general, as well as urban planning, architecture,\r\ntraffic simulation, driving guidance, to name but a few. In this talk I will present one specific\r\nsubfield of urban reconstruction: image-based facade modeling and reconstruction. In\r\nparticular I will provide an overview of recent automatic and interactive approaches which aim\r\nat the decomposition of facade imagery in order to generate well defined geometric models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 674,
            "image_height": 505,
            "name": "musialski_2012_aachen-image.jpg",
            "type": "image/jpeg",
            "size": 62023,
            "path": "Publication:musialski_2012_aachen",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_from": "2012-08-22",
        "date_to": "2012-08-22",
        "event": "Invited talk at RWTH Aachen University, Computer Graphics Group",
        "location": "RWTH Aachen, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 674,
                "image_height": 505,
                "name": "musialski_2012_aachen-image.jpg",
                "type": "image/jpeg",
                "size": 62023,
                "path": "Publication:musialski_2012_aachen",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-image:thumb{{size}}.png"
            },
            {
                "description": "slides of the talk",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski_2012_aachen-slides.pdf",
                "type": "application/pdf",
                "size": 3872096,
                "path": "Publication:musialski_2012_aachen",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/musialski_2012_aachen-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Photo-Guide"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_aachen/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger-12",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": " Computer-Aided Design of Tactile Models – Taxonomy and Case-Studies",
        "date": "2012",
        "abstract": "Computer-aided tools offer great potential for the design and production of tactile models. While many publications focus on the design of essentially two-dimensional media like raised line drawings or the reproduction of three-dimensional objects, we intend to broaden this view by introducing a taxonomy that classifies the full range of conversion possibilities based on dimensionality. We present an overview of current methods, discuss specific advantages and difficulties, identify suitable programs and algorithms and discuss personal experiences from case studies performed in cooperation with two museums.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            1063,
            1051,
            228,
            190
        ],
        "booktitle": "Computers Helping People with Special Needs",
        "chapter": "13th International Conference, ICCHP 2012, Linz, Austria, July 11-13, 2012, Proceedings, Part II",
        "editor": "K. Miesenberger, A. Karshmer, P. Penaz, W. Zagler",
        "isbn": "978-3-642-31533-6",
        "pages_from": "497",
        "pages_to": "504",
        "publisher": "Springer Berlin-Heidelberg",
        "series": "Lecture Notes in Computer Science",
        "volume": "7383",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reichinger-12-Paper.pdf",
                "type": "application/pdf",
                "size": 1489030,
                "path": "Publication:Reichinger-12",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Reichinger-12/Reichinger-12-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2012/Reichinger-12/Reichinger-12-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Reichinger-12/",
        "__class": "Publication"
    },
    {
        "id": "Ribicic_2012_VAS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual analysis and steering of flooding simulations",
        "date": "2012",
        "abstract": "We present a visualization tool for the real-time analysis of interactively steered ensemble-simulation runs, and apply it to flooding simulations. Simulations are performed on-the-fly, generating large quantities of data. The user wants to make sense of the data as it is created. The tool facilitates understanding: of what happens in all scenarios, where important events occur and how simulation runs are related. We combine different approaches to achieve this goal. To maintain an overview, data is aggregated and embedded into the simulation rendering, showing trends, outliers, and robustness. For a detailed view, we use information-visualization views and interactive visual analysis techniques. A selection mechanism connects the two approaches. Points of interest are selected by clicking on aggregates, supplying data for visual analysis. This allows the user to maintain an overview of the ensemble and perform analysis even as new data is supplied through simulation steering. Unexpected or unwanted developments are detected easily, and the user can focus the exploration on them. The solution was evaluated with two case studies focusing on placing and testing flood defense measures. Both were evaluated by a consortium of flood simulation and defense experts, who found the system to be both intuitive and relevant.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            889,
            798,
            672,
            1330,
            166
        ],
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "99",
        "volume": "PP",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6280550",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2012/Ribicic_2012_VAS/",
        "__class": "Publication"
    },
    {
        "id": "Soros_AVN_2011",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Visualization with Natural Feature Tracking",
        "date": "2011-12",
        "abstract": "Visualization systems often require large monitors or projection\r\nscreens to display complex information. Even very sophisticated\r\nsystems that exhibit complex user interfaces do usually not exploit\r\nadvanced input and output devices. One of the reasons for that is\r\nthe high cost of special hardware. This paper introduces Augmen-\r\nted Visualization, an interaction method for projection walls as well\r\nas monitors using affordable and widely available hardware such as\r\nmobile phones or tablets. The main technical challenge is the track-\r\ning of the users’ devices without any special equipment or fiducial\r\nmarkers in the working area. We propose to track natural features\r\nof the display content with the built-in camera of mobile devices.\r\nTracking the visualized scene allows pose estimation of the mobile\r\ndevices with six degrees of freedom. The position and orientation\r\ninformation is then used for advanced interaction metaphors like\r\nmagic lenses. For a group of experts who are analyzing the data in\r\nfront of the same screen, a personal augmented view of the visua-\r\nlized scene is presented, for each user on his/her personal device.\r\nThe prototype Augmented Visualization System achieves interactive\r\nframe rates and may lead to a greatly enhanced user experience.\r\nThe paper discusses the design and implementation questions and\r\nillustrates potential application scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 545,
            "image_height": 300,
            "name": "Soros_AVN_2011-Teaser.jpg",
            "type": "image/jpeg",
            "size": 20571,
            "path": "Publication:Soros_AVN_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            901,
            488,
            956,
            166
        ],
        "booktitle": "Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia (MUM 2011) ",
        "date_from": "2011-12-07",
        "date_to": "2011-12-09",
        "event": "10th International Conference on Mobile and Ubiquitous Multimedia (MUM 2011) ",
        "isbn": "978-1-4503-1096-3",
        "lecturer": [
            901
        ],
        "location": "Beijing, China",
        "pages_from": "4",
        "pages_to": "12",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [
            "human computer interaction",
            "Handheld augmented reality",
            "natural feature tracking",
            "interactive visualization systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Soros_AVN_2011-Paper.pdf",
                "type": "application/pdf",
                "size": 7543426,
                "path": "Publication:Soros_AVN_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 545,
                "image_height": 300,
                "name": "Soros_AVN_2011-Teaser.jpg",
                "type": "image/jpeg",
                "size": 20571,
                "path": "Publication:Soros_AVN_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Teaser:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "Soros_AVN_2011-Video.avi",
                "type": "video/x-msvideo",
                "size": 36561448,
                "path": "Publication:Soros_AVN_2011",
                "preview_name": "Soros_AVN_2011-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 27553,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/Soros_AVN_2011-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Soros_AVN_2011/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_IVP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Virtual Probing of 4D MRI Blood-Flow",
        "date": "2011-12",
        "abstract": "Better understanding of hemodynamics conceivably leads to improved diagnosis and prognosis of cardiovascular diseases.\r\nTherefore, an elaborate analysis of the blood-flow in heart and thoracic arteries is essential. Contemporary MRI techniques\r\nenable acquisition of quantitative time-resolved flow information, resulting in 4D velocity fields that capture the blood-flow behavior.\r\nVisual exploration of these fields provides comprehensive insight into the unsteady blood-flow behavior, and precedes a quantitative\r\nanalysis of additional blood-flow parameters. The complete inspection requires accurate segmentation of anatomical structures, encompassing\r\na time-consuming and hard-to-automate process, especially for malformed morphologies. We present a way to avoid the\r\nlaborious segmentation process in case of qualitative inspection, by introducing an interactive virtual probe. This probe is positioned\r\nsemi-automatically within the blood-flow field, and serves as a navigational object for visual exploration. The difficult task of determining\r\nposition and orientation along the view-direction is automated by a fitting approach, aligning the probe with the orientations of\r\nthe velocity field. The aligned probe provides an interactive seeding basis for various flow visualization approaches. We demonstrate\r\nillustration-inspired particles, integral lines and integral surfaces, conveying distinct characteristics of the unsteady blood-flow. Lastly,\r\nwe present the results of an evaluation with domain experts, valuing the practical use of our probe and flow visualization techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            891,
            647,
            679,
            893,
            166,
            979,
            459
        ],
        "issn": "1077 - 2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            891
        ],
        "number": "12",
        "pages_from": "2153",
        "pages_to": "2162",
        "volume": "17",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6064980&amp;tag=1",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_IVP-Paper.pdf",
                "type": "application/pdf",
                "size": 2761386,
                "path": "Publication:Groeller_2011_IVP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IVP/Groeller_2011_IVP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IVP/Groeller_2011_IVP-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IVP/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_NR",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations",
        "date": "2011-12",
        "abstract": "Flood disasters are the most common natural risk and tremendous efforts are spent to improve their simulation and\nmanagement. However, simulation-based investigation of actions that can be taken in case of flood emergencies is rarely done.\nThis is in part due to the lack of a comprehensive framework which integrates and facilitates these efforts. In this paper, we tackle\nseveral problems which are related to steering a flood simulation. One issue is related to uncertainty. We need to account for\nuncertain knowledge about the environment, such as levee-breach locations. Furthermore, the steering process has to reveal how\nthese uncertainties in the boundary conditions affect the confidence in the simulation outcome. Another important problem is that the\nsimulation setup is often hidden in a black-box. We expose system internals and show that simulation steering can be comprehensible\nat the same time. This is important because the domain expert needs to be able to modify the simulation setup in order to include local\nknowledge and experience. In the proposed solution, users steer parameter studies through the World Lines interface to account for\ninput uncertainties. The transport of steering information to the underlying data-flow components is handled by a novel meta-flow. The\nmeta-flow is an extension to a standard data-flow network, comprising additional nodes and ropes to abstract parameter control. The\nmeta-flow has a visual representation to inform the user about which control operations happen. Finally, we present the idea to use\nthe data-flow diagram itself for visualizing steering information and simulation results. We discuss a case-study in collaboration with a\ndomain expert who proposes different actions to protect a virtual city from imminent flooding. The key to choosing the best response\nstrategy is the ability to compare different regions of the parameter space while retaining an understanding of what is happening\ninside the data-flow system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2126,
            "image_height": 1673,
            "name": "Groeller_2011_NR-Image.png",
            "type": "image/png",
            "size": 514334,
            "path": "Publication:Groeller_2011_NR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            798,
            889,
            672,
            978,
            829,
            1330,
            166
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            798
        ],
        "number": "12",
        "pages_from": "1872",
        "pages_to": "1881",
        "volume": "17",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6064950",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2126,
                "image_height": 1673,
                "name": "Groeller_2011_NR-Image.png",
                "type": "image/png",
                "size": 514334,
                "path": "Publication:Groeller_2011_NR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_NR-Paper.pdf",
                "type": "application/pdf",
                "size": 1829746,
                "path": "Publication:Groeller_2011_NR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/Groeller_2011_NR-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NR/",
        "__class": "Publication"
    },
    {
        "id": "muigg-2011-gpg",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Volume Visualization of General Polyhedral Grids",
        "date": "2011-12",
        "abstract": "This paper presents a novel framework for visualizing volumetric data specified on complex polyhedral grids, without the\r\nneed to perform any kind of a priori tetrahedralization. These grids are composed of polyhedra that often are non-convex and have\r\nan arbitrary number of faces, where the faces can be non-planar with an arbitrary number of vertices. The importance of such grids\r\nin state-of-the-art simulation packages is increasing rapidly. We propose a very compact, face-based data structure for representing\r\nsuch meshes for visualization, called two-sided face sequence lists (TSFSL), as well as an algorithm for direct GPU-based ray-casting\r\nusing this representation. The TSFSL data structure is able to represent the entire mesh topology in a 1D TSFSL data array of face\r\nrecords, which facilitates the use of efficient 1D texture accesses for visualization. In order to scale to large data sizes, we employ a\r\nmesh decomposition into bricks that can be handled independently, where each brick is then composed of its own TSFSL array. This\r\nbricking enables memory savings and performance improvements for large meshes. We illustrate the feasibility of our approach with\r\nreal-world application results, by visualizing highly complex polyhedral data from commercial state-of-the-art simulation packages.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "This exhaust manifold data set is defined on a polyhedral grid. The zoom-in shows the underlying mesh structure",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1330,
            "image_height": 790,
            "name": "muigg-2011-gpg-image.png",
            "type": "image/png",
            "size": 721800,
            "path": "Publication:muigg-2011-gpg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            662,
            226,
            212,
            166
        ],
        "date_from": "2011-10-23",
        "date_to": "2011-10-28",
        "event": "IEEE VisWeek 2011",
        "issn": "1077 - 2626",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "lecturer": [
            662
        ],
        "location": "Providence, RI, USA",
        "number": "12",
        "pages_from": "2115",
        "pages_to": "2124",
        "volume": "17",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "fast forward slides",
                "filetitle": "fastforward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "muigg-2011-gpg-fastforward.ppt",
                "type": "",
                "size": 3621376,
                "path": "Publication:muigg-2011-gpg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-fastforward.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "This exhaust manifold data set is defined on a polyhedral grid. The zoom-in shows the underlying mesh structure",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1330,
                "image_height": 790,
                "name": "muigg-2011-gpg-image.png",
                "type": "image/png",
                "size": 721800,
                "path": "Publication:muigg-2011-gpg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "muigg-2011-gpg-paper.pdf",
                "type": "application/pdf",
                "size": 464488,
                "path": "Publication:muigg-2011-gpg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-paper:thumb{{size}}.png"
            },
            {
                "description": "presentationslides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "muigg-2011-gpg-slides.ppt",
                "type": "",
                "size": 11790336,
                "path": "Publication:muigg-2011-gpg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-slides.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "video demonstration",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "muigg-2011-gpg-video.avi",
                "type": "video/x-msvideo",
                "size": 15131960,
                "path": "Publication:muigg-2011-gpg",
                "preview_name": "muigg-2011-gpg-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 49261,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/muigg-2011-gpg-video:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/muigg-2011-gpg/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov-2011",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Projection-Based Metal-Artifact Reduction for Industrial 3D X-ray Computed Tomography",
        "date": "2011-12",
        "abstract": "Multi-material components, which contain metal parts surrounded by plastic materials, are highly interesting for inspection using industrial 3D X-ray computed tomography (3DXCT). Examples of this application scenario are connectors or housings with metal inlays in the electronic or automotive industry. A  major problem of this type of components is the presence of metal, which causes streaking artifacts and distorts the surrounding media in the reconstructed volume. Streaking artifacts and dark-band artifacts around metal components significantly influence the material characterization (especially for the plastic components). In specific cases these artifacts even prevent a further analysis. Due to the nature and the different characteristics of artifacts, the development of an efficient artifact-reduction technique in reconstruction-space is rather complicated. In this paper we present a projection-space pipeline for metal-artifacts reduction. The proposed technique first segments the metal in the spatial domain of the reconstructed volume in order to separate it from the other materials. Then metal parts are forward-projected on the set of projections in a way that metal-projection regions are treated as voids. Subsequently the voids, which are left by the removed metal, are interpolated in the 2D projections. Finally, the metal is inserted back into the reconstructed 3D volume during the fusion stage.  We present a visual analysis tool, allowing for interactive parameter estimation of the metal segmentation. The results of the proposed artifact-reduction technique are demonstrated on a test part as well as on real world components. For these specimens we achieve a significant reduction of metal artifacts, allowing an enhanced material characterization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The plug specimen photo (left) and volume renderings before (center) and after (right) metal-artifact reduction.",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 7072,
            "image_height": 2034,
            "name": "amirkhanov-2011-teaser.png",
            "type": "image/png",
            "size": 2709550,
            "path": "Publication:amirkhanov-2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            611,
            789,
            613,
            166
        ],
        "date_from": "2011-10-23",
        "date_to": "2011-10-28",
        "event": "IEEE VisWeek 2011",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            817
        ],
        "location": "Providence, RI, USA",
        "number": "12",
        "pages_from": "2193",
        "pages_to": "2202",
        "volume": "17",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "Metal-artifact reduction",
            "multi-material components",
            "3D X-ray computed tomography",
            "visual analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Fast forward material",
                "filetitle": "fast forward",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 640,
                "name": "amirkhanov-2011-fast forward.wmv",
                "type": "text/plain",
                "size": 5625746,
                "path": "Publication:amirkhanov-2011",
                "preview_name": "amirkhanov-2011-fast forward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 26848,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-fast forward.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-fast forward:thumb{{size}}.png"
            },
            {
                "description": "Manuscript file",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2011-paper.pdf",
                "type": "application/pdf",
                "size": 7987981,
                "path": "Publication:amirkhanov-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-paper:thumb{{size}}.png"
            },
            {
                "description": "Presentation slides",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov-2011-slides.pptx",
                "type": "application/zip",
                "size": 5644806,
                "path": "Publication:amirkhanov-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "The plug specimen photo (left) and volume renderings before (center) and after (right) metal-artifact reduction.",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 7072,
                "image_height": 2034,
                "name": "amirkhanov-2011-teaser.png",
                "type": "image/png",
                "size": 2709550,
                "path": "Publication:amirkhanov-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-teaser:thumb{{size}}.png"
            },
            {
                "description": "Supplementary video material",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 928,
                "preview_image_height": 696,
                "name": "amirkhanov-2011-video.wmv",
                "type": "text/plain",
                "size": 10292954,
                "path": "Publication:amirkhanov-2011",
                "preview_name": "amirkhanov-2011-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30414,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/amirkhanov-2011-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/amirkhanov-2011/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2011-bmtf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bi-modal Task Faciliation in a Virtual Traffic Scenario through Spatialized Sound Rendering ",
        "date": "2011-11",
        "abstract": "Audio rendering is generally used to increase the realism of Virtual Environments (VE). In addition, audio rendering may also improve the performance in specific tasks carried out in interactive applications such as games or simulators.\n\nIn this paper we investigate the effect of the quality of sound rendering on task performance in a task which is inherently vision dominated. The task is a virtual traffic gap crossing scenario with two elements: first, to discriminate crossable and uncrossable gaps in oncoming traffic, and second, to find the right timing to start crossing the street without an accident.\n\nA study was carried out with 48 participants in an immersive Virtual Environment setup with a large screen and headphones. Participants were grouped into three different conditions. In the first condition, spatialized audio rendering with head-related transfer function (HRTF) filtering was used. The second group was tested with conventional stereo rendering, and the remaining group ran the experiment in a mute condition.\n\nOur results give a clear evidence that spatialized audio improves task performance compared to the unimodal mute condition. Since all task-relevant information was in the participants' field-of-view, we conclude that an enhancement of task performance results from a bimodal advantage due to the integration of visual and auditory spatial cues.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "bernhard-2011-bmtf-image.jpg",
            "type": "image/jpeg",
            "size": 231255,
            "path": "Publication:bernhard-2011-bmtf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            838,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "note": "Article No. 24",
        "number": "4",
        "pages_from": "1",
        "pages_to": "22",
        "volume": "8",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "bimodal task faciliation",
            "pedestrian safety",
            "virtual environments",
            "audio-visual perception",
            "head related transfer functions"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=2043606&amp;CFID=76205769&amp;CFTOKEN=78897554",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": null,
                "preview_image_height": null,
                "name": "bernhard-2011-bmtf-draft.pdf",
                "type": "application/pdf",
                "size": 10940015,
                "path": "Publication:bernhard-2011-bmtf",
                "preview_name": "bernhard-2011-bmtf-draft:preview.png",
                "preview_type": "application/pdf",
                "preview_size": 14528250,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "bernhard-2011-bmtf-image.jpg",
                "type": "image/jpeg",
                "size": 231255,
                "path": "Publication:bernhard-2011-bmtf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/bernhard-2011-bmtf-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD",
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-bmtf/",
        "__class": "Publication"
    },
    {
        "id": "reisner-2011-comdm",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Consolidation of Multiple Depth Maps",
        "date": "2011-11",
        "abstract": "Consolidation of point clouds, including denoising, outlier removal and normal estimation, is an important pre-processing step for surface reconstruction techniques. We\r\npresent a consolidation framework specialized on point clouds created by multiple frames of a depth camera. An\r\nadaptive view-dependent locally optimal projection operator denoises multiple depth maps while keeping their struc\r\nture in two-dimensional grids. Depth cameras produce a systematic variation of noise scales along the depth axis.\r\nAdapting to different noise scales allows to remove noise in the point cloud and preserve well-defined details at the same time. Our framework provides additional consolidation steps for depth maps like normal estimation and outlier removal. We show how knowledge about the distribution of\r\nnoise in the input data can be effectively used for improving\r\npoint clouds.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image-desk",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1710,
            "image_height": 1406,
            "name": "reisner-2011-comdm-image-desk.png",
            "type": "image/png",
            "size": 2527631,
            "path": "Publication:reisner-2011-comdm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            228
        ],
        "booktitle": "IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV 2011)",
        "lecturer": [
            847
        ],
        "location": "Barcelona",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image-desk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1710,
                "image_height": 1406,
                "name": "reisner-2011-comdm-image-desk.png",
                "type": "image/png",
                "size": 2527631,
                "path": "Publication:reisner-2011-comdm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-desk:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image-markers",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2416,
                "image_height": 1785,
                "name": "reisner-2011-comdm-image-markers.png",
                "type": "image/png",
                "size": 2681070,
                "path": "Publication:reisner-2011-comdm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-image-markers:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2011-comdm-poster.pdf",
                "type": "application/pdf",
                "size": 3374994,
                "path": "Publication:reisner-2011-comdm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "preprint",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2011-comdm-preprint.pdf",
                "type": "application/pdf",
                "size": 4910482,
                "path": "Publication:reisner-2011-comdm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/reisner-2011-comdm-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-comdm/",
        "__class": "Publication"
    },
    {
        "id": "scheiblauer-2011-chnt",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Consolidated Visualization of Enormous 3D Scan Point Clouds with Scanopy",
        "date": "2011-11",
        "abstract": "Terrestrial laser scanners are used at many excavations for documentation and inventory taking. For the documentation of the excavation Amphitheatre 1 in Bad Deutsch-Altenburg, Austria, the terrestrial laser scanner Riegl LMS Z420i was used. Overall, the entire excavation was covered by about 200 positions. With each scan position the amount of data recorded increases and this leads to performance problems in the visualization of the data. Due to the enormous number of points a consolidated representation of the entire point cloud is not possible with conventional software. The software Scanopy was developed for presenting and editing huge amounts of point data. Furthermore, it is possible to load polygonal models and display them together with point clouds in one scene. This allows an exact documentation of large archaeological excavation sites. Another application is the visualization of polygonal models of different excavation levels. The simplest visualization of point clouds on screen is a representation of the points as square rectangles. This, however, creates geometric inaccuracies, and colored point clouds are presented with sudden color changes. When the points are displayed by using semi-transparent circles the 3D points can be blended and lead to a more homogenous visual representation of the scanned objects. Thus the visual impression of the point cloud will be improved considerably. The developed software is demonstrated on the excavation mentioned above.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Point rendering with Gauss splats",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1694,
            "image_height": 1013,
            "name": "scheiblauer-2011-chnt-image.png",
            "type": "image/png",
            "size": 4275803,
            "path": "Publication:scheiblauer-2011-chnt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            1045
        ],
        "booktitle": "Proceedings of the 16th International Conference on Cultural Heritage and New Technologies",
        "date_from": "2011-11-14",
        "date_to": "2011-11-16",
        "isbn": "978-3-200-02740-4",
        "lecturer": [
            614
        ],
        "location": "Vienna, Austria",
        "pages_from": "242",
        "pages_to": "247",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point rendering",
            "resampling",
            "out-of-core"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Point rendering with Gauss splats",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1694,
                "image_height": 1013,
                "name": "scheiblauer-2011-chnt-image.png",
                "type": "image/png",
                "size": 4275803,
                "path": "Publication:scheiblauer-2011-chnt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-image:thumb{{size}}.png"
            },
            {
                "description": "Paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-2011-chnt-paper.pdf",
                "type": "application/pdf",
                "size": 408490,
                "path": "Publication:scheiblauer-2011-chnt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/scheiblauer-2011-chnt-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-chnt/",
        "__class": "Publication"
    },
    {
        "id": "Gurbat_2011_SBS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sketch-Based Steering in Visdom",
        "date": "2011-11",
        "abstract": "Natural phenomena like earthquakes or floods cannot be avoided or controlled by humans\r\nbut ignoring them can be fatal. In order to understand their characteristics and\r\nbehavior computer simulations can be used. The gained knowledge is used to find\r\nstrategies and countermeasures to minimize the damage caused by such disasters.\r\nVisdom is a modular integrated visualization system which is developed to support the\r\nanalysis of flood simulations. It provides the ability to test different decisions made\r\nby the user for example the establishment of barrier arrangements. These alternative\r\nscenarios can be visualized and analyzed in order to find the solution which minimizes\r\ndamage in the vicinity. For modifying the flood, the simulation parameters have to be\r\nvaried. In Visdom, this has to be done by inserting numeric values into textfields or\r\nusing sliders. In most cases, the system is intended to be used in time-critical situations\r\nwhere fast interaction and testing is required. Therefore a sketch-based interface\r\nis introduced into Visdom which should simplify and accelerate the modification of simulation\r\nparameters. This kind of interaction increases the productivity and efficiency of\r\nthe whole work-flow due to its intuitive and straightforward usage.\r\nSince Visdom is based on a modular data-flow system, the new functionality is implemented\r\nwithin a new node. The so-called Spline Node provides methods to create\r\nand manipulate a spline. It requires the drawn user input points which are captured by\r\na view node. Due to the fact that Visdom is based on the data-flow concept, a new\r\nmechanism called Modular Interactors has to be introduced to enable interaction communication\r\nbetween nodes especially upstream. In order to support the user during the\r\nsketching process the system provides visual feedback. The sketched stroke is represented\r\nusing a tubular geometry which is directly visualized in the 3D view.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Gurbat_2011_SBS-Thesis.pdf",
            "type": "application/pdf",
            "size": 3800586,
            "path": "Publication:Gurbat_2011_SBS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gurbat_2011_SBS/Gurbat_2011_SBS-Thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gurbat_2011_SBS/Gurbat_2011_SBS-Thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1061
        ],
        "supervisor": [
            166,
            798
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gurbat_2011_SBS-Thesis.pdf",
                "type": "application/pdf",
                "size": 3800586,
                "path": "Publication:Gurbat_2011_SBS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gurbat_2011_SBS/Gurbat_2011_SBS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gurbat_2011_SBS/Gurbat_2011_SBS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gurbat_2011_SBS/",
        "__class": "Publication"
    },
    {
        "id": "Gavrilescu_2011_VGP",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Graphical Processing of Volume Data",
        "date": "2011-10",
        "abstract": "The extraction and visualization of information from volume data constitute important research avenues in computer graphics and imaging.  The rapid development of GPUs with increasing computational power has made it possible to generate intuitive, three-dimensional representations of data sets, which can be tweaked and manipulated interactively. \r\n\r\nThis thesis presents various techniques developed within the field of volume graphics. These have wide applicability in the generation of meaningful images from mainly CT and MRI data sets. The work addresses multiple aspects of volume visualization and rendering, such as the representation, classification and in-depth graphical analysis of the information contained within volume data. Initially, we present generic information on the nature of volume data, the mathematical and physical models behind volume rendering, as well as the rendering algorithms used within our prototyping framework for the rendering of images. Subsequently, we address the problem of volume classification, where we explore the use of various types of transfer functions. These operate on voxel properties such as the gradient, curvature or visibility, allowing for the isolation of increasingly complex and problematic features. We provide alternative, more computationally-efficient ways of approximating some of these properties and show how they can be used for classification purposes. We also provide an effective way of specifying multidimensional transfer functions from 1D components, thus increasing the flexibility and expanding the potential of the classification process.\r\n\r\nAnother part of the thesis deals with cardiac MRI data. Specifically, we develop a tool for the visual inspection of parameters which influence the status and functionality of the left ventricle. The considered parameters are the thickness and thickening of the myocardial wall, the moment of maximum thickness and the average speed of the wall during a cardiac cycle. Starting from segmentation contours which outline the epicardium and endocardium, we construct surfaces and use these to visualize the distribution of parameter values using color coding. The technique allows for information from multiple slices, over multiple phases and stress levels to be represented on a single 3D geometry, therefore facilitating the analysis of multidimensional data sets comprising a large number of slices. The values of the cardiac parameters are depicted in an intuitive manner, making them easily accessible to both medical staff and patients with no medical training. \r\nIn the last part of the thesis we develop a method for the analysis of parameters involved in the volume rendering pipeline. The technique involves sampling the parameters across their domains, rendering images for each sample, and computing the differences among these images. The resulting values characterize the behavior and stability of the parameters across their domains. These values are further used to augment various user interfaces, such as sliders or transfer function specification widgets. The newly-modified interfaces use color coding, graphs, arrows and other info-vis techniques to show the potential changes induced by the parameters in images resulting from volume rendering, thus allowing users to make better-informed decisions when adjusting parameter values.  \r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "Gavrilescu_2011_VGP-Image.jpg",
            "type": "image/jpeg",
            "size": 39068,
            "path": "Publication:Gavrilescu_2011_VGP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            737
        ],
        "date_end": "2011-10",
        "date_start": "2008-10",
        "reviewer_1": [
            850,
            166
        ],
        "reviewer_2": [
            1314,
            1315,
            1316
        ],
        "rigorosum": "2011-10-17",
        "supervisor": [
            850
        ],
        "research_areas": [],
        "keywords": [
            "parameter stability",
            "left ventricle",
            "cardiac parameters",
            "feature enhancement",
            "transfer function",
            "volume rendering",
            "visualization",
            "user interface"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "Gavrilescu_2011_VGP-Image.jpg",
                "type": "image/jpeg",
                "size": 39068,
                "path": "Publication:Gavrilescu_2011_VGP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gavrilescu_2011_VGP-Thesis.pdf",
                "type": "application/pdf",
                "size": 8750137,
                "path": "Publication:Gavrilescu_2011_VGP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/Gavrilescu_2011_VGP-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gavrilescu_2011_VGP/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_GBC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gradient-based Classification and Representation of Features from Volume Data",
        "date": "2011-10",
        "abstract": "The extraction and representation of information\r\nfrom volume data are important research avenues in\r\ncomputer-based visualization. The interpretation of three- or\r\nmulti-dimensional data from various scanning devices is\r\nimportant to medical imaging, diagnosis and treatment,\r\nreliability and sustainability analyses in various industrial\r\nbranches, and, in more general terms, information\r\nvisualization. In this paper, we present several approaches for\r\nthe classification and representation of relevant information\r\nfrom volume data sets. The techniques are based on the\r\ngradient vector, a property directly derived from the original\r\nvolume data. We show how this property can be computed and\r\nsubsequently used for classification through gradient-based\r\none- and multi-dimensional transfer functions, as well as for\r\nthe enhancement of surface features. The described techniques\r\nare illustrated through images generated using our volume\r\nrendering framework, from Computed Tomography (CT) and\r\nMagnetic Resonance Imaging (MRI) data sets. The resulting\r\nimages show how gradient-based techniques are suited for\r\nimproved volume classification and the better extraction of\r\nmeaningful information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            737,
            850,
            166
        ],
        "booktitle": "Proceedings of 15th International Conference on System Theory, Control and computing (ICSTCC 2011)",
        "date_from": "2011-10-14",
        "date_to": "2011-10-16",
        "editor": "Editura Universitaria Craiova (EUC)",
        "issn": "2068-0465",
        "lecturer": [
            737
        ],
        "location": "Sinaia, Romania",
        "pages_from": "243",
        "pages_to": "248",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_GBC-Paper.pdf",
                "type": "application/pdf",
                "size": 214067,
                "path": "Publication:Groeller_2011_GBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_GBC/Groeller_2011_GBC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_GBC/Groeller_2011_GBC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_GBC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_NSM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Needle-Stability Maps for Brain-Tumor Biopsies",
        "date": "2011-10",
        "abstract": "Minimally invasive surgical procedures like\r\nbiopsies require the insertion of a needle to reach a specific\r\ntissue from where samples are taken. This process is affected by\r\na number of errors that can lead to a different needle pathway\r\nthan originally planned. In the case of brain-tumor biopsies,\r\nthese errors can be caused by the brain shifting when the skull\r\nis drilled, measurement errors due to the physical framework\r\nthat supports the biopsy needle or some other human errors.\r\nTo provide support for preoperative planning, we introduce the\r\nconcept of a biopsy-needle stability-map. This map provides\r\ninformation on how stable a biopsy-needle pathway is. We also\r\nintroduce an algorithm for finding the reachable points on the\r\ntumor border from one specific entry point. A technique for\r\nautomatically selecting the needle pathway that offers the\r\nbiggest minimal distance to any blood vessel is also presented.\r\nA 3D representation of the regions of interest (tumor, blood\r\nvessels) together with the needle pathway and the reachable\r\npoints of the tumor has also been implemented. The resulting\r\nstability map visually represents, using color-coding, how close\r\nto any blood vessel the pathways surrounding the main one are.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            903,
            850,
            166
        ],
        "booktitle": "Proceedings of 15th International Conference on System Theory, Control and computing (ICSTCC 2011)",
        "date_from": "2011-10-14",
        "date_to": "2011-10-16",
        "editor": "Editura Universitaria Craiova (EUC)",
        "issn": "2068-0465",
        "lecturer": [
            903
        ],
        "location": "Sinaia, Romania",
        "pages_from": "259",
        "pages_to": "263",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_NSM-Paper.pdf",
                "type": "application/pdf",
                "size": 254409,
                "path": "Publication:Groeller_2011_NSM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NSM/Groeller_2011_NSM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NSM/Groeller_2011_NSM-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NSM/",
        "__class": "Publication"
    },
    {
        "id": "Gschwantner_2011_AMQ",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Measurement and Quantification of Industrial CT Data",
        "date": "2011-10",
        "abstract": "Non–destructive testing (NDT) is a vital part in today’s industrial production and research processes.\r\nSuch testing procedures often use Computed Tomography (CT) in order to get insights\r\nof the inner parts of an object. During the analysis of different objects, certain features can be\r\nautomatically segmented and quantified in the CT dataset. However, due to various effects during\r\nthe acquisition of the data, the original boundaries of two materials within the objects are\r\nnot accurately represented in the dataset.\r\nThis thesis describes a method to reconstruct these boundaries for automatically segmented features\r\non a subvoxel level of the dataset. They are searched along the gradient of the data, using\r\nan edge–detection approach commonly used in image processing. The result is then represented\r\nas a distance field and further quantified through over–sampling and measuring.\r\nFor a variety of datasets it is shown that these reconstructed boundaries are indeed providing\r\na more accurate representation of the original segmented region. Further comparisons are made\r\nwith a method that simply tries to improve the visual appearance through smoothing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1280,
            "image_height": 1436,
            "name": "Gschwantner_2011_AMQ-Image.jpg",
            "type": "image/jpeg",
            "size": 343576,
            "path": "Publication:Gschwantner_2011_AMQ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            947
        ],
        "supervisor": [
            166,
            226,
            775
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1280,
                "image_height": 1436,
                "name": "Gschwantner_2011_AMQ-Image.jpg",
                "type": "image/jpeg",
                "size": 343576,
                "path": "Publication:Gschwantner_2011_AMQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Gschwantner_2011_AMQ-Thesis.pdf",
                "type": "application/pdf",
                "size": 23641769,
                "path": "Publication:Gschwantner_2011_AMQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/Gschwantner_2011_AMQ-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gschwantner_2011_AMQ/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2011-VAM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Analysis Using Multimodal Surface Similarity",
        "date": "2011-10",
        "abstract": "The combination of volume data acquired by multiple modalities has been recognized as an important but challenging\r\ntask. Modalities often differ in the structures they can delineate and their joint information can be used to extend the classification\r\nspace. However, they frequently exhibit differing types of artifacts which makes the process of exploiting the additional information\r\nnon-trivial. In this paper, we present a framework based on an information-theoretic measure of isosurface similarity between different\r\nmodalities to overcome these problems. The resulting similarity space provides a concise overview of the differences between the\r\ntwo modalities, and also serves as the basis for an improved selection of features. Multimodal classification is expressed in terms of\r\nsimilarities and dissimilarities between the isosurfaces of individual modalities, instead of data value combinations. We demonstrate\r\nthat our approach can be used to robustly extract features in applications such as dual energy computed tomography of parts in\r\nindustrial manufacturing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Dual-energy CT data visualized using multimodal similarity-based classification",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1417,
            "name": "haidacher-2011-VAM-Teaser.jpg",
            "type": "image/jpeg",
            "size": 418896,
            "path": "Publication:haidacher-2011-VAM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597,
            161,
            166
        ],
        "date_from": "2011-10-23",
        "date_to": "2011-10-28",
        "event": "IEEE Visualization 2011",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            597
        ],
        "location": "Providence, Rhode Island, USA",
        "number": "12",
        "pages_from": "1969",
        "pages_to": "1978",
        "volume": "17",
        "research_areas": [],
        "keywords": [
            "surface similarity",
            "volume visualization",
            "multimodal data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Video of the Fast Forward Presentation",
                "filetitle": "FastForward",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "haidacher-2011-VAM-FastForward.avi",
                "type": "video/x-msvideo",
                "size": 2962030,
                "path": "Publication:haidacher-2011-VAM",
                "preview_name": "haidacher-2011-VAM-FastForward:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 33557,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-FastForward.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-FastForward:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-FastForward:video.mp4"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2011-VAM-Paper.pdf",
                "type": "application/pdf",
                "size": 15432630,
                "path": "Publication:haidacher-2011-VAM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Paper:thumb{{size}}.png"
            },
            {
                "description": "VisWeek 2011 Presentation Slides",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2011-VAM-Presentation.pdf",
                "type": "application/pdf",
                "size": 12638148,
                "path": "Publication:haidacher-2011-VAM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Presentation:thumb{{size}}.png"
            },
            {
                "description": "Dual-energy CT data visualized using multimodal similarity-based classification",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1417,
                "name": "haidacher-2011-VAM-Teaser.jpg",
                "type": "image/jpeg",
                "size": 418896,
                "path": "Publication:haidacher-2011-VAM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Video demonstration of some of the key aspects of our approach",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 912,
                "name": "haidacher-2011-VAM-Video.avi",
                "type": "video/x-msvideo",
                "size": 42124998,
                "path": "Publication:haidacher-2011-VAM",
                "preview_name": "haidacher-2011-VAM-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 44314,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/haidacher-2011-VAM-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-VAM/",
        "__class": "Publication"
    },
    {
        "id": "Basch_2011_ATA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Animated Transitions Across Multiple Dimensions for Volumetric Data",
        "date": "2011-10",
        "abstract": "There are several techniques, that can be used to visualize volumetric data. A data set\r\ncan be illustrated using slicing (depicting arbitrary slices through the volume), direct\r\nvolume rendering (DVR), or in a more abstract way, histograms and scatter plots. Usually\r\nthese different methods of visualization are being applied separately. To recognize\r\ncoherencies between the representations, methods based on Linking and Brushing can\r\nbe utilized. These methods highlight voxels in one view, as soon as they are selected in\r\nanother one. Coming from scientific visualization, these methods are very useful, when\r\nselecting voxels from 2D data representations, like scatter plots. Of course they are\r\nless useful, when trying to select voxels directly from the volume. Therefore this thesis\r\nexplored methods, that are not based on selection and highlighting. Rather, the correlation\r\nbetween different representations is shown by moving voxels between different\r\nvolume representations. As a basis, methods like staggered animation, acceleration, and\r\ndeceleration were adopted, which had been previously used in the graphical analysis of\r\nstatistical data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 656,
            "image_height": 633,
            "name": "Basch_2011_ATA-Image.jpg",
            "type": "image/jpeg",
            "size": 41465,
            "path": "Publication:Basch_2011_ATA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            945
        ],
        "supervisor": [
            166,
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Amination",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 992,
                "preview_image_height": 980,
                "name": "Basch_2011_ATA-Amination.avi",
                "type": "video/x-msvideo",
                "size": 3589632,
                "path": "Publication:Basch_2011_ATA",
                "preview_name": "Basch_2011_ATA-Amination:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41003,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Amination.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Amination:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Amination:video.mp4"
            },
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 656,
                "image_height": 633,
                "name": "Basch_2011_ATA-Image.jpg",
                "type": "image/jpeg",
                "size": 41465,
                "path": "Publication:Basch_2011_ATA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Basch_2011_ATA-Thesis.pdf",
                "type": "application/pdf",
                "size": 3495591,
                "path": "Publication:Basch_2011_ATA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/Basch_2011_ATA-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Basch_2011_ATA/",
        "__class": "Publication"
    },
    {
        "id": "knecht-2011-CBCM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Camera-Based Color Mapping For Mixed-Reality Applications",
        "date": "2011-10",
        "abstract": "We present a novel adaptive color mapping method for virtual objects in mixed-reality environments. In several mixed-reality applications, added virtual objects should be visually indistinguishable from real objects. Recent mixed-reality methods use global-illumination algorithms to approach this goal. However, simulating the light distribution is not enough for visually plausible images. Since the observing camera has its very own transfer function from real-world radiance values to RGB colors, virtual objects look artificial just because their rendered colors do not match with those of the camera.\n\nOur approach combines an on-line camera characterization method with a heuristic to map colors of virtual objects to colors as they would be seen by the observing camera. Previous tone-mapping functions were not designed for use in mixed-reality systems and thus did not take the camera-specific behavior into account. In contrast, our method takes the camera into account and thus can also handle changes of its parameters during runtime. The results show that virtual objects look visually more plausible than by just applying tone-mapping operators.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Shows color adaption of virtual book and colorchart on the left",
            "filetitle": "Image 1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 767,
            "name": "knecht-2011-CBCM-Image 1.jpg",
            "type": "image/jpeg",
            "size": 561780,
            "path": "Publication:knecht-2011-CBCM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            237,
            190,
            193
        ],
        "booktitle": "Proceedings of the 2011 IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2011)",
        "date_from": "2011-10-26",
        "date_to": "2011-10-29",
        "isbn": "978-1-4577-2183-0 ",
        "location": "Basel, Switzerland",
        "note": "E-ISBN: 978-1-4577-2184-7",
        "pages_from": "165",
        "pages_to": "168",
        "publisher": "IEEE/IET Electronic Library (IEL), IEEE-Wiley eBooks Library, VDE VERLAG Conference Proceedings",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Color Matching",
            "Differential Rendering",
            "Mixed Reality",
            "Tone Mapping"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "Shows color adaption of virtual book and colorchart on the left",
                "filetitle": "Image 1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 767,
                "name": "knecht-2011-CBCM-Image 1.jpg",
                "type": "image/jpeg",
                "size": 561780,
                "path": "Publication:knecht-2011-CBCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image 1:thumb{{size}}.png"
            },
            "1": {
                "description": "Shows color adaption of virtual book and colorchart on the left",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 767,
                "name": "knecht-2011-CBCM-Image.jpg",
                "type": "image/jpeg",
                "size": 301091,
                "path": "Publication:knecht-2011-CBCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Image:thumb{{size}}.png"
            },
            "2": {
                "description": "Conference Paper",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht-2011-CBCM-Preprint.pdf",
                "type": "application/pdf",
                "size": 25284280,
                "path": "Publication:knecht-2011-CBCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Preprint:thumb{{size}}.png"
            },
            "4": {
                "description": "Video results",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "knecht-2011-CBCM-Video.avi",
                "type": "video/x-msvideo",
                "size": 36674560,
                "path": "Publication:knecht-2011-CBCM",
                "preview_name": "knecht-2011-CBCM-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/knecht-2011-CBCM-Video:video.mp4"
            }
        },
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht-2011-CBCM/",
        "__class": "Publication"
    },
    {
        "id": "KUE11",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "BRDF approximation and estimation for Augmented Reality",
        "date": "2011-10",
        "abstract": "In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. If such a description of a surface is not vailable it has to be estimated or approximated. In our paper we will present certain methods that deal\nwith real-time bi-directional reflectance distribution function\n(BRDF) approximation in augmented reality. Of course an important thing to discuss is whether the applications we present all work in real-time and compute good (and real)looking results.\nThere are different methods on how to achieve this goal. All of the methods we are going to present work via image based lighting and some require a 3D polygonal mesh representation\nof the object whose BRDF shall be approximated. Some methods estimate the BRDF parameters via error values and\nprovide results at each iteration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            841,
            736,
            237
        ],
        "booktitle": "15th International Conference on System Theory, Control and Computing",
        "date_from": "2011-10-14",
        "date_to": "2011-10-16",
        "lecturer": [
            841
        ],
        "location": "Sinaia, Romania",
        "organization": "\"Gheorghe Asachi\" Technical University of Iasi, Faculty of Automatic Control and Computer Engineering",
        "pages_from": "318",
        "pages_to": "324",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Mixed Reality",
            "BRDF Estimation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "KUE11-Paper.pdf",
                "type": "application/pdf",
                "size": 411981,
                "path": "Publication:KUE11",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/KUE11-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/KUE11-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/KUE11/",
        "__class": "Publication"
    },
    {
        "id": "Tanzmeister_2011_I3D",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive 3D Reconstruction and BRDF Estimation for Mixed Reality Environments",
        "date": "2011-10",
        "abstract": "In mixed reality environments virtual content typically looks very artificial. One reason for that\r\nis because there is no consistent shading between the virtual and the real objects. Two examples\r\nare shadows and indirect illumination between the artificial and the real scene elements, which\r\nrequire to have information about the real world’s geometry and its materials respectively.\r\nIn mixed reality interaction with real objects is a key feature. Integrating consistent shading\r\nin such a system means that the system at all times needs an up-to-date model of the scene’s\r\ngeometry, its lighting and its material characteristics. The information is usually obtained as\r\na manual pre-processing step, which is a tedious, time-consuming task and has to be re-done\r\nwhenever a scene element that is not tracked changes. This poses strong limits to the widespread\r\nuse of such a technique and one would like to have it done automatically.\r\nHowever, the automatic estimation of material characteristics of real objects using color\r\nimages has always been an offline task in the literature having processing times from around 30\r\nminutes up to several hours. In this work an interactive BRDF estimation technique is proposed,\r\nwhich uses the parallel power of current GPUs speeding up the running time to under half a\r\nsecond. One reason for the speed-up was a novel GPU K-Means implementation using MIP\r\nmaps to calculate the new cluster centers on the GPU, which is often done on the CPU. The\r\n3D geometry is also reconstructed in our technique since it is needed for indirect illumination\r\nand occlusion. We use the Microsoft Kinect sensor to acquire both, the geometry and the color\r\nimages and capture the lighting environment using a fish-eye lens camera. With the algorithm\r\npresented in this thesis we have shown that real-time results are possible opening up its use in\r\nmixed reality systems in order to improve the appearance of virtual content.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            920
        ],
        "date_start": "2011-04-08",
        "matrikelnr": "0625380",
        "supervisor": [
            736,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tanzmeister_2011_I3D-Poster.pdf",
                "type": "application/pdf",
                "size": 4918597,
                "path": "Publication:Tanzmeister_2011_I3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Tanzmeister_2011_I3D/Tanzmeister_2011_I3D-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Tanzmeister_2011_I3D/Tanzmeister_2011_I3D-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tanzmeister_2011_I3D-Thesis.pdf",
                "type": "application/pdf",
                "size": 19870446,
                "path": "Publication:Tanzmeister_2011_I3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Tanzmeister_2011_I3D/Tanzmeister_2011_I3D-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Tanzmeister_2011_I3D/Tanzmeister_2011_I3D-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Tanzmeister_2011_I3D/",
        "__class": "Publication"
    },
    {
        "id": "Stingl_2011_RHS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Robust Hard Shadows",
        "date": "2011-09",
        "abstract": "The generation of shadows in large virtual environments for real-time rendering applications like\r\ne.g. video games is still a great challenge for computer graphics. In the past few years shadow\r\nmapping and its variants have become widely accepted as appropriate methods for shadow creation,\r\nwhich resulted in large number of advanced shadow mapping techniques that have been\r\nintroduced recently. For this reason, it sometimes can be difficult for developers to choose a\r\nsuitable method based on the certain given scenarios.\r\nThis thesis focuses on an analysis of some common fully hardware-accelerated shadow mapping\r\ntechniques and their capabilities to combine them with each other. We present an interactive\r\nframework that allows the user to experiment with the chosen methods and to visualize\r\nalmost every interesting aspect of the shadow creation process for arbitrary scenes. It offers the\r\nopportunity to generate the shadows by using multiple shadow maps, sample redistribution or\r\nboth and provides most possible flexibility in terms of various adjustable parameters. Furthermore,\r\nit includes a feature to analyze the final results from different points of view, which should\r\nhelp developers to find the best suited algorithm for the given scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            780
        ],
        "date_start": "2009-10-08",
        "matrikelnr": "0226290",
        "supervisor": [
            193,
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stingl_2011_RHS-poster.pdf",
                "type": "application/pdf",
                "size": 10936424,
                "path": "Publication:Stingl_2011_RHS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Stingl_2011_RHS/Stingl_2011_RHS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Stingl_2011_RHS/Stingl_2011_RHS-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Stingl_2011_RHS-thesis.pdf",
                "type": "application/pdf",
                "size": 14162201,
                "path": "Publication:Stingl_2011_RHS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Stingl_2011_RHS/Stingl_2011_RHS-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Stingl_2011_RHS/Stingl_2011_RHS-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Stingl_2011_RHS/",
        "__class": "Publication"
    },
    {
        "id": "Fechter_2011_DBS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deformation Based Manual Segmentation in Three and Four Dimensions",
        "date": "2011-09",
        "abstract": "Segmentation of medical image data has grown into one of the most important parts in medicine\r\nduring the past years. The main fields of segmentation in the area of medicine are surgicalplanning,\r\ndiagnosis, therapy-planning and simulation. The focus was in the last years mainly\r\non automatic and semi-automatic segmentation methods for 3D and 4D datasets. Most of them\r\nare highly specialized as they need a lot of prior knowledge and often the results, especially in\r\npresence of pathologies or other abnormalities, have to be corrected manually. An alternative\r\nto automatic and semi-automatic methods is to perform the segmentation manually. The main\r\ndrawbacks of this approach are that it is very tedious and time consuming, the user knowledge\r\nhas a very high impact on the results and it is very hard to reproduce specific results.\r\nThis work presents a tool that enables the user to enhance results of automatic and semiautomatic\r\nalgorithms and to do fast manual segmentation of shapes of arbitrary topology from\r\nscratch. The tool can deal with three and four dimensional image datasets captured by different\r\nmodalities. The segmentation is mesh based and performed with a 2D cut approach. With the\r\nuse of this approach the user aligns a 2D cut through the mesh to the shape to segment but in the\r\nbackground the 3D mesh gets deformed. To achieve a better alignment of the edges to a specific\r\nshape the edge class based Sticky Edges algorithm is introduced. Furthermore, well known\r\nmesh optimization algorithms like subdivision, smoothing and decimation were implemented\r\nto accomplish better results. To achieve a faster segmentation of four dimensional datasets two\r\nmethods are presented. With the first one the user can record its interactions on one volume in\r\nthe 4D dataset and apply them automatically to the other volumes. The other one enables the\r\nuser set an already segmented mesh as start position for the segmentation of other volumes.\r\nThe approach presented in this work is up to 25 times faster than the Livewire approach [41]\r\nthat was used to evaluate this tool. Moreover, the mesh quality regarding smoothness, curvature\r\nand triangle quality are at eye level with the evaluation meshes. The geometric distance to the\r\nground truth meshes is on average 2 mm and the normal deviation is between 0.3 and 0.4 degree.\r\nTo sum up, this master thesis introduces a tool for fast manual image segmentation that provides\r\nproper mesh quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Fechter_2011_DBS-Thesis.pdf",
            "type": "application/pdf",
            "size": 2836127,
            "path": "Publication:Fechter_2011_DBS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Fechter_2011_DBS/Fechter_2011_DBS-Thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Fechter_2011_DBS/Fechter_2011_DBS-Thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            933
        ],
        "supervisor": [
            231,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fechter_2011_DBS-Thesis.pdf",
                "type": "application/pdf",
                "size": 2836127,
                "path": "Publication:Fechter_2011_DBS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Fechter_2011_DBS/Fechter_2011_DBS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Fechter_2011_DBS/Fechter_2011_DBS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Fechter_2011_DBS/",
        "__class": "Publication"
    },
    {
        "id": "mayer_2011_cipa",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Texturing in the Documentation of Cultural Heritage",
        "date": "2011-09",
        "abstract": "In the last decade the documentation of cultural heritage by means of laser range scanning and photogrammetric techniques has gained ever more importance. The amount of data collected by these means may be huge, and adequate presentation of 3D documented cultural heritage is still a challenge. For small and limited projects consisting of only a few range scans, the software provided with the laser scanner can be used for viewing and presenting the data. Large projects, consisting of hundreds of scan positions as well as projects where more and more data are collected over time, still have to deal with a massive reduction of the 3D data for presentation. Public demonstrations in museums, as for example shown by the Digital Michelangelo project, are already state of the art. The combination of huge point-base models and mesh models with high resolution textures in one viewer, the first type of models resulting from the data of laser range scans and the second type of models resulting from a photogrammetric reconstruction process, is still not available. Currently viewers are mostly limited to show models that are based on only one geometric primitive – either points or polygons – at once.\r\nIn the FWF funded START project “The Domitilla Catacomb in Rome. Archaeology, Architecture and Art History of a Late Roman Cemetery” – which is running for 5 years now – 3D point data was collected for the geometrical documentation of the vast gallery system of the Domitilla Catacomb, resulting in point data of some 2 billion (10^9) point samples. Furthermore high quality textured mesh models of the nearly 90 late Roman / early Christian paintings were generated with photogrammetric tools. In close cooperation with the Institute of Computer Graphics and Algorithms of the Vienna University of Technology the point cloud viewer Scanopy was improved for the combined presentation of huge point clouds and high quality textured mesh models in the same viewer. Our viewer is already capable of rendering huge point clouds, so for this a method to manage the vast amount of textures had to be found. Therefore we integrated a virtual texturing algorithm, which allows using the original photographs of the paintings taken on site to be mapped to the mesh models, resulting in a high quality texture for all mesh models. The photographs have a resolution of 11 Megapixels. Due to shortcomings in the programs used in the photogrammetric processing pipeline we scaled down the photographs to a 7.3 Megapixel resolution. Currently 608 of these images are used for texturing 29 mesh models. The work on the mesh models is still ongoing, and when all mesh models will be completed, we will use some 2000 images for texturing about 90 mesh models. These virtually textured models can show the details of each painting in the Domitilla Catacomb. When used in a virtual walkthrough the paintings in the catacomb can be presented to a broad audience under best lighting conditions, even the paintings normally not accessible by the public.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Virtual texturing render pipeline",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 651,
            "image_height": 1075,
            "name": "mayer_2011_cipa-image.png",
            "type": "image/png",
            "size": 215911,
            "path": "Publication:mayer_2011_cipa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            943,
            614,
            796
        ],
        "date_from": "2011-09-12",
        "date_to": "2011-09-16",
        "event": "XXIIIrd International CIPA Symposium",
        "issn": "1802-2669",
        "journal": "Geoinformatics FCE CTU",
        "lecturer": [
            943,
            614
        ],
        "location": "Czech Technical University in Prague",
        "volume": "7",
        "research_areas": [],
        "keywords": [
            "virtual texturing",
            "out-of-core",
            "streaming",
            "point clouds"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": "Virtual texturing render pipeline",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 651,
                "image_height": 1075,
                "name": "mayer_2011_cipa-image.png",
                "type": "image/png",
                "size": 215911,
                "path": "Publication:mayer_2011_cipa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-image:thumb{{size}}.png"
            },
            "1": {
                "description": "The Domitilla images are not included due to copyright reasons.",
                "filetitle": "paper draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mayer_2011_cipa-paper draft.pdf",
                "type": "application/pdf",
                "size": 526442,
                "path": "Publication:mayer_2011_cipa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-paper draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-paper draft:thumb{{size}}.png"
            },
            "3": {
                "description": "The Domitilla images are not included due to copyright reasons.",
                "filetitle": "slides draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mayer_2011_cipa-slides draft.pptx",
                "type": "application/zip",
                "size": 5600582,
                "path": "Publication:mayer_2011_cipa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/mayer_2011_cipa-slides draft.pptx",
                "thumb_image_sizes": []
            }
        },
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/mayer_2011_cipa/",
        "__class": "Publication"
    },
    {
        "id": "Niederreiter_2011_SM",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spectral Mipmapping",
        "date": "2011-09",
        "abstract": "Full-spectral color rendering capability of global illumination renderers\r\nis still in need of improvement, particularly regarding performance,\r\nwhich is a reason why many modelling programs for global illumination\r\nare focused on three-component based color representation (e.g.\r\nRGB). Full-spectral color representations are the basis for realistic\r\ncolor appearance in realistic image synthesis. Currently, if compared\r\nto common three-component rendering, the major disadvantage of fullspectral\r\nrendering comes from higher computation costs because of\r\nthe greater amount of processed information. This thesis investigates\r\npromising approaches of spectral color representation in the context\r\nof a multi-level color rendering model called Spectral Mipmapping,\r\nfocused on the trade-off between time-efficiency and resulting image\r\nquality in terms of perceived color difference. A test implementation\r\nin a basic ray tracing renderer is used to evaluate results and make suggestions\r\nconcerning appropriate code design optimizations and spectral\r\nsampling strategies. The influence of compiler optimization and\r\nvector instruction use (based on SSE instructions) is discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 640,
            "name": "Niederreiter_2011_SM-Image.png",
            "type": "image/png",
            "size": 278120,
            "path": "Publication:Niederreiter_2011_SM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            792
        ],
        "supervisor": [
            190,
            567
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 640,
                "name": "Niederreiter_2011_SM-Image.png",
                "type": "image/png",
                "size": 278120,
                "path": "Publication:Niederreiter_2011_SM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Niederreiter_2011_SM-Poster.pdf",
                "type": "application/pdf",
                "size": 560932,
                "path": "Publication:Niederreiter_2011_SM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Niederreiter_2011_SM-Thesis.pdf",
                "type": "application/pdf",
                "size": 3270552,
                "path": "Publication:Niederreiter_2011_SM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/Niederreiter_2011_SM-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Niederreiter_2011_SM/",
        "__class": "Publication"
    },
    {
        "id": "Steiner_2011",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Post Processing Effects",
        "date": "2011-08",
        "abstract": "Post processing effects, photo realistic ones as well as non photo-realistic ones are very important to modern computer games. This paper tries to give an overview of how post processing works and which methods can be used to perform them in real-time, giving hints how these special effects can be implemented on modern graphic hardware. Additionally, this paper gives an overview of algorithms used for special post processing effects like depth of field or motion blur, making them comparable to other implementations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1120
        ],
        "supervisor": [
            909
        ],
        "research_areas": [],
        "keywords": [
            "Post Processing Effects"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Post Processing Effects",
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Steiner_2011-Thesis.pdf",
                "type": "application/pdf",
                "size": 9237917,
                "path": "Publication:Steiner_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Steiner_2011/Steiner_2011-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Steiner_2011/Steiner_2011-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Steiner_2011/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_HP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-performanceGPU-basedRendering for Real-Time, rigid2D/3D-ImageRegistration and MotionPrediction in RadiationOncology",
        "date": "2011-07",
        "abstract": "A common problem in image-guided radiation therapy (IGRT) of lung cancer as well as other malignant diseases is the compensation of periodic and aperiodic motion during dose delivery. Modern systems for image-guided radiationoncology allow for the acquisition of cone-beam computed tomography data in the treatment room as well as the acquisition of planar radiographs during the treatment. A mid-term research goal is the compensation of tumor target volume motion by 2D/3Dregistration. In 2D/3Dregistration, spatial information on organ location is derived by an iterative comparison of perspective volume renderings, so-called digitally rendered radiographs (DRR) from computed tomography volume data, and planar reference x-rays. Currently, this rendering process is very time consuming, and real-timeregistration, which should at least provide data on organ position in less than a second, has not come into existence. We present two GPU-basedrendering algorithms which generate a DRR of 512 × 512 pixels size from a CT dataset of 53 MB size at a pace of almost 100 Hz. This rendering rate is feasible by applying a number of algorithmic simplifications which range from alternative volume-driven rendering approaches – namely so-called wobbled splatting – to sub-sampling of the DRR-image by means of specialized raycasting techniques. Furthermore, general purpose graphics processing unit (GPGPU) programming paradigms were consequently utilized. Rendering quality and performance as well as the influence on the quality and performance of the overall registration process were measured and analyzed in detail. The results show that both methods are competitive and pave the way for fast motion compensation by rigid and possibly even non-rigid2D/3Dregistration and, beyond that, adaptive filtering of motion models in IGRT.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            849,
            969,
            970,
            971,
            972,
            973,
            975,
            976,
            166,
            977
        ],
        "journal": "Zeitschrift für Medizinische Physik",
        "note": "availabe online",
        "publisher": "Elsevier B.V.",
        "research_areas": [],
        "keywords": [
            "real-time",
            "sparse sampling",
            "DRR",
            "2D/3D-registration"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_HP/",
        "__class": "Publication"
    },
    {
        "id": "Gruenauer-2011-CAT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coronary Artery Tracking with Rule-based Gap Closing",
        "date": "2011-07",
        "abstract": "Coronary artery diseases are among the leading causes of death in the industrial\r\ncountries. The high death rate leads to an increased demand of\r\ndiagnosis and treatment of these diseases. Additional to the conventional\r\ncoronary angiography, the CT angiography is mainly used in the extended\r\ndiagnostics of coronary artery diseases. This modality allows a detailed\r\nassessment of the coronary vessels and potentially present stenoses. For supporting\r\nthe radiologist during the evaluation of the coronary arteries by the\r\nhelp of computer-aided diagnostic methods, robust and e\u000ecient procedures\r\nfor the tracking of coronary arteries are needed.\r\nThe approach presented in this thesis uni\fes the strong points of existing\r\nmethods delivering high accuracy with the strong points of methods achieving\r\nhigh overlap. Therefore the approach presented in this thesis aims at\r\nhighly accurate results in combination with high overlap of the investigated\r\ncoronary artery vessel tree. The approach is divided into three phases: 1)\r\ncalculation of seed points, 2) tracking of vessel segments, and 3) construction\r\nof the coronary artery trees.\r\nPhase 1 & 2 are executed in an automatic manner. First potential seed\r\npoints for the tracking of vessel segments are identi\fed. During the second\r\nphase, vessel segments located at these seed points are tracked by use of\r\na cylindrical shape model. By use of rule-based anatomical heuristics, the\r\nthird and \fnal phase combines vessel segments to form complete coronary\r\nartery trees. This phase requires minimal user interaction, as the location\r\nof the root of the left and right coronary artery tree needs to be speci\fed.\r\nBeside the detailed description of the algorithm, the integration into a professional\r\nradiology workstation is demonstrated. The results obtained by the\r\nevaluation on 24 CTA datasets show a high overlap (OV) of 89.5% in combination\r\nwith very precise accuracy (AI) of 0.24 mm in comparison to an\r\nexpert-annotated reference segmentation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 361,
            "image_height": 362,
            "name": "Gruenauer-2011-CAT-.jpg",
            "type": "image/jpeg",
            "size": 16674,
            "path": "Publication:Gruenauer-2011-CAT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            924
        ],
        "supervisor": [
            166,
            231,
            498
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 361,
                "image_height": 362,
                "name": "Gruenauer-2011-CAT-.jpg",
                "type": "image/jpeg",
                "size": 16674,
                "path": "Publication:Gruenauer-2011-CAT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gruenauer-2011-CAT-Thesis.pdf",
                "type": "application/pdf",
                "size": 5917193,
                "path": "Publication:Gruenauer-2011-CAT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/Gruenauer-2011-CAT-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gruenauer-2011-CAT/",
        "__class": "Publication"
    },
    {
        "id": "kehrer-2011-vai",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface",
        "date": "2011-07",
        "abstract": "In this paper, we present a systematic approach to the interactive visual exploration and analysis of heterogeneous scientific\r\ndata. Based on a setup of coordinated multiple views (with linking and brushing) and heterogeneous data which consists of two blocks\r\nof scientific data (e.g., 2D and 3D data), we enable the joint, feature-based investigation across an interface. The interface specifies\r\n(a) which items in the one part of the data are related to which items in the other part, and vice versa, (b) how selections (in terms\r\nof feature extraction) are transferred between the two parts of the data, and (c) how interaction is realized during the visual analysis.\r\nWe also propose strategies for visual analysis across an interface resulting in interactive and iterative refinement of features specified\r\nin different parts of the data. We demonstrate the usefulness of our approach in the context of two visual analysis scenarios with\r\nheterogeneous scientific data, i.e., a multi-run climate simulation and a complex simulation of fluid-structure interaction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1053,
            "image_height": 1000,
            "name": "kehrer-2011-vai-image.jpg",
            "type": "image/jpeg",
            "size": 242521,
            "path": "Publication:kehrer-2011-vai",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            662,
            212,
            176
        ],
        "date_from": "2011-10-23",
        "date_to": "2011-10-28",
        "event": "IEEE VisWeek 2011",
        "issn": "1077-2626",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "lecturer": [
            983
        ],
        "location": "Providence, RI",
        "number": "7",
        "pages_from": "934",
        "pages_to": "946",
        "volume": "17",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://www.ii.uib.no/vis/publications/publication/2011/kehrer11heterogeneous",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kehrer-2011-vai-Draft.pdf",
                "type": "application/pdf",
                "size": 5299107,
                "path": "Publication:kehrer-2011-vai",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-Draft:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1053,
                "image_height": 1000,
                "name": "kehrer-2011-vai-image.jpg",
                "type": "image/jpeg",
                "size": 242521,
                "path": "Publication:kehrer-2011-vai",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kehrer-2011-vai-Slides.pdf",
                "type": "application/pdf",
                "size": 2413196,
                "path": "Publication:kehrer-2011-vai",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/kehrer-2011-vai-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/",
        "__class": "Publication"
    },
    {
        "id": "sikachev_peter-2011-dfc",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Focus + Context\u000b for Volume Rendering",
        "date": "2011-06-09",
        "abstract": "Interactive visualization is widely used in many applications for efficient representation of complex data. Many\r\ntechniques make use of the focus+context approach in a static manner. These techniques do not fully make use\r\nof the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient\r\nfeatures during user interaction. We explore rotation, panning, and zooming interaction semantics and propose\r\nseveral methods of changing visual representations, based on a suggested engagement-estimation method. We\r\nuse DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming\r\nsemantics. Our approach adds short animations during user interaction that help to explore the data efficiently\r\nand aid the user in the detection of unknown features.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "icon",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 412,
            "image_height": 540,
            "name": "sikachev_peter-2011-dfc-icon.png",
            "type": "image/png",
            "size": 91526,
            "path": "Publication:sikachev_peter-2011-dfc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864,
            488,
            161,
            166
        ],
        "event": "Austrian-Russian Joint Seminar",
        "lecturer": [
            864
        ],
        "location": "VRVis, Vienna, Austria",
        "research_areas": [],
        "keywords": [
            "focus + context",
            "visualization",
            "volume rendering",
            "user interaction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "icon",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 412,
                "image_height": 540,
                "name": "sikachev_peter-2011-dfc-icon.png",
                "type": "image/png",
                "size": 91526,
                "path": "Publication:sikachev_peter-2011-dfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-icon:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "presentation",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "sikachev_peter-2011-dfc-presentation.ppt",
                "type": "",
                "size": 8324608,
                "path": "Publication:sikachev_peter-2011-dfc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-presentation.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "video1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev_peter-2011-dfc-video1.wmv",
                "type": "text/plain",
                "size": 1378880,
                "path": "Publication:sikachev_peter-2011-dfc",
                "preview_name": "sikachev_peter-2011-dfc-video1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 17107,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video1.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video1:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev_peter-2011-dfc-video2.wmv",
                "type": "text/plain",
                "size": 1048228,
                "path": "Publication:sikachev_peter-2011-dfc",
                "preview_name": "sikachev_peter-2011-dfc-video2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 15238,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video2.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video2:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev_peter-2011-dfc-video3.wmv",
                "type": "text/plain",
                "size": 847520,
                "path": "Publication:sikachev_peter-2011-dfc",
                "preview_name": "sikachev_peter-2011-dfc-video3:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 11955,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video3.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/sikachev_peter-2011-dfc-video3:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/",
        "__class": "Publication"
    },
    {
        "id": "preiner11IR",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Screen-Space Triangulation for Interactive Point Rendering",
        "date": "2011-06-06",
        "abstract": "We present a novel rendering technique that reconstructs high quality images from unorganized colored point data. While previous point rendering approaches make mostly use of preprocessed point normals and radii, our algorithm only requires position and color data as input and produces a reconstructed color image, normal map and depth map which can instantly be used to apply further deferred lighting passes. \nOur method performs a world-space neighbor search and a subsequent normal estimation in screen-space, and uses the geometry shader to triangulate the color, normal and depth information of the points. To achieve correct visibility and closed surfaces in the projected image a temporal coherence approach reuses triangulated depth information and provides adaptive neighbor search radii. Our algorithm is especially suitable for in-situ high-quality visualization of big datasets like 3D-scans, making otherwise time-consuming preprocessing steps to reconstruct surface normals and point radii dispensable.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 809,
            "image_height": 574,
            "name": "preiner11IR-.png",
            "type": "image/png",
            "size": 567107,
            "path": "Publication:preiner11IR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799
        ],
        "date_from": "2011-06-06",
        "date_to": "2011-06-09",
        "event": "Austrian-Russian Joint Seminar",
        "lecturer": [
            799
        ],
        "location": "Vienna",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "point visualization",
            "screen space reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 809,
                "image_height": 574,
                "name": "preiner11IR-.png",
                "type": "image/png",
                "size": 567107,
                "path": "Publication:preiner11IR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preiner11IR-slides.pdf",
                "type": "application/pdf",
                "size": 2978755,
                "path": "Publication:preiner11IR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/preiner11IR-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/preiner11IR/",
        "__class": "Publication"
    },
    {
        "id": "Muigg_2011_VC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Coherence for Large-Scale Line-Plot Visualizations",
        "date": "2011-06",
        "abstract": "Displaying a large number of lines within a limited amount of screen space is a task that is common to many\r\ndifferent classes of visualization techniques such as time-series visualizations, parallel coordinates, link-node diagrams,\r\nand phase-space diagrams. This paper addresses the challenging problems of cluttering and overdraw\r\ninherent to such visualizations. We generate a 2x2 tensor field during line rasterization that encodes the distribution\r\nof line orientations through each image pixel. Anisotropic diffusion of a noise texture is then used to generate\r\na dense, coherent visualization of line orientation. In order to represent features of different scales, we employ a\r\nmulti-resolution representation of the tensor field. The resulting technique can easily be applied to a wide variety\r\nof line-based visualizations. We demonstrate this for parallel coordinates, a time-series visualization, and a\r\nphase-space diagram. Furthermore, we demonstrate how to integrate a focus+context approach by incorporating\r\na second tensor field. Our approach achieves interactive rendering performance for large data sets containing\r\nmillions of data items, due to its image-based nature and ease of implementation on GPUs. Simulation results\r\nfrom computational fluid dynamics are used to evaluate the performance and usefulness of the proposed method.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            662,
            226,
            212,
            166
        ],
        "booktitle": "Computer Graphics Forum",
        "date_from": "2011-05-31",
        "date_to": "2011-06-03",
        "event": "EuroVis 2011",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            662
        ],
        "location": "Bergen, Norway",
        "number": "3",
        "organization": "The Eurographics Association and Blackwell Publishing Ltd.",
        "pages_from": "643",
        "pages_to": "652",
        "publisher": "Blackwell Publishing",
        "volume": "30",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2011.01913.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Muigg_2011_VC-Paper.pdf",
                "type": "application/pdf",
                "size": 1396935,
                "path": "Publication:Muigg_2011_VC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/Muigg_2011_VC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/Muigg_2011_VC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_VC/",
        "__class": "Publication"
    },
    {
        "id": "Nuernberg-2011-CBO",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cell-Based Object Representation",
        "date": "2011-06",
        "abstract": "Today's real-time applications, such as computer games or virtual environments,\r\nneed to display more and more geometrically complex surfaces. The appearance\r\nof such surfaces are achieved by local parallax, correct occlusions, convincing\r\nsilhouettes and even by sophisticated effects such as self-reflection, refraction,\r\ntranslucency, self-shadowing and caustics to name a few. Hence simple texturing\r\nmapping is insufficient to produce such high geometric complexity.\r\nThis thesis proposes a cell-based approach to model and render repetitive fine\r\nscaled details with a high visual quality. The main idea of the precomputation is\r\nto decompose the object into a low frequent geometry (the general shape of the\r\nobject) and high frequent surface details. The high frequent surface details are\r\nrepresented by so-called cells tiled all over the object space. The precomputed\r\ncell-based object representation is displayed by a ray tracer providing correct\r\nparallax, occlusions and silhouettes. This thesis proves that sophisticated effects\r\nsuch as specular self-reflection and refraction can easily be rendered with the\r\ncell-based approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1151,
            "image_height": 437,
            "name": "Nuernberg-2011-CBO-image.jpg",
            "type": "image/jpeg",
            "size": 184179,
            "path": "Publication:Nuernberg-2011-CBO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            777
        ],
        "date_start": "2009-02-18",
        "matrikelnr": "0425202",
        "supervisor": [
            193,
            356
        ],
        "research_areas": [],
        "keywords": [
            "Cell-based texturing, Interactive ray ca"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1151,
                "image_height": 437,
                "name": "Nuernberg-2011-CBO-image.jpg",
                "type": "image/jpeg",
                "size": 184179,
                "path": "Publication:Nuernberg-2011-CBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Nuernberg-2011-CBO-Poster.pdf",
                "type": "application/pdf",
                "size": 21079138,
                "path": "Publication:Nuernberg-2011-CBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Nuernberg-2011-CBO-thesis.pdf",
                "type": "application/pdf",
                "size": 47552249,
                "path": "Publication:Nuernberg-2011-CBO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/Nuernberg-2011-CBO-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Nuernberg-2011-CBO/",
        "__class": "Publication"
    },
    {
        "id": "schmidt-2011-mt",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Variability Analysis for Initial Sample Testing of Industrial CT Data",
        "date": "2011-06",
        "abstract": "Casting is a manufacturing process by which melt is poured into a mould and then allowed to solidify. Due to the pouring process as well as during solidification casting defects like shrinkage, pores or\r\ncracks may appear that can influence the cast objects' mechanical properties and usability. Designing a new type of casting always requires the production of a new pattern first. Before release of serial production a series of initial samples is created. During this evaluation step possible problems are identified that may occur for example due to the mould layout. In the course of this master's thesis effort, a new approach for first article inspection is introduced.\r\nThe goal of this approach is to explore a series of industrial CT volumes, with the objective to evaluate the casting design. Using the pipeline investigations of the reliability of the production can\r\nbe performed. The variability analysis is based on a segmentation approach for defect detection which enables to differentiate discontinuities from the rest of the volume In case regions of high defect concentration should be identified, a clustering approach is applied to all samples within the series. The input data set used for clustering consists of the defects' centres of gravity. This way the clustering algorithm can be applied to a set of data points in 3D space. In the further course the cluster information is used to analyse the variability of the sample series, since they represent regions of high defect concentration. The analysis of large defects, in contrast, directly operates on the data produced by the defect detection stage. The data of all samples is compared to find possible overlaps. For the variability analysis it is important to know whether regions can be\r\nfound that contain defects in more than one trial sample. The identification of such regions shows that the casting process tends to produce errors in certain parts of the object.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 339,
            "name": "schmidt-2011-mt-.png",
            "type": "image/png",
            "size": 80558,
            "path": "Publication:schmidt-2011-mt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            950
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 339,
                "name": "schmidt-2011-mt-.png",
                "type": "image/png",
                "size": 80558,
                "path": "Publication:schmidt-2011-mt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmidt-2011-mt-Poster.pdf",
                "type": "application/pdf",
                "size": 747339,
                "path": "Publication:schmidt-2011-mt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmidt-2011-mt-Thesis.pdf",
                "type": "application/pdf",
                "size": 27663085,
                "path": "Publication:schmidt-2011-mt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/schmidt-2011-mt-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schmidt-2011-mt/",
        "__class": "Publication"
    },
    {
        "id": "Berger_2011_UAE",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Uncertainty-Aware Exploration of Continuous Parameter Spaces Using Multivariate Prediction",
        "date": "2011-06",
        "abstract": "Systems projecting a continuous n-dimensional parameter space to a continuous m-dimensional target space play\r\nan important role in science and engineering. If evaluating the system is expensive, however, an analysis is often\r\nlimited to a small number of sample points. The main contribution of this paper is an interactive approach to\r\nenable a continuous analysis of a sampled parameter space with respect to multiple target values. We employ\r\nmethods from statistical learning to predict results in real-time at any user-defined point and its neighborhood. In\r\nparticular, we describe techniques to guide the user to potentially interesting parameter regions, and we visualize\r\nthe inherent uncertainty of predictions in 2D scatterplots and parallel coordinates. An evaluation describes a realworld\r\nscenario in the application context of car engine design and reports feedback of domain experts. The results\r\nindicate that our approach is suitable to accelerate a local sensitivity analysis of multiple target dimensions, and\r\nto determine a sufficient local sampling density for interesting parameter regions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            961,
            451,
            962,
            166
        ],
        "date_from": "2011-05-31",
        "date_to": "2011-06-03",
        "event": "EuroVis 2011",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            961
        ],
        "location": "Bergen, Norway",
        "note": "Best Paper Award",
        "number": "3",
        "pages_from": "911",
        "pages_to": "920",
        "volume": "30",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Berger_2011_UAE-Paper.pdf",
                "type": "application/pdf",
                "size": 10076298,
                "path": "Publication:Berger_2011_UAE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/Berger_2011_UAE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/Berger_2011_UAE-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Berger_2011_UAE/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2011-maicg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Manipulating Attention in Computer Games",
        "date": "2011-06",
        "abstract": "In computer games, a user’s attention is focused on the current task, and task-irrelevant details remain unnoticed. This behavior, known as inattentional blindness, is a main problem for the optimal placement of information or advertisements. We propose a guiding principle based on Wolfe’s theory of Guided Search, which predicts the saliency of objects during a visual search task. Assuming that computer games elicit visual search tasks frequently, we applied this model in a “reverse” direction: Given a target item (e.g., advertisement) which should be noticed by the user, we choose a frequently searched game item and modify it so that it shares some perceptual features (e.g., color or orientation) with the target item. A memory experiment with 36 participants showed that in an action video game, advertisements were more noticeable to users when this method is applied.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            839,
            193
        ],
        "booktitle": "Proceedings of the IEEE IVMSP Workshop on Perception and Visual Signal Analysis",
        "date_from": "2011-06-16",
        "date_to": "2011-06-17",
        "isbn": "9781457712852",
        "lecturer": [
            660
        ],
        "location": "Ithaca, NY",
        "pages_from": "153",
        "pages_to": "158",
        "publisher": "IEEE",
        "research_areas": [
            "Perception"
        ],
        "keywords": [
            "saliency",
            "attention guidance",
            "inattentional blindness",
            "in-game advertising",
            "guided search"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2011-maicg-paper.pdf",
                "type": "application/pdf",
                "size": 2337253,
                "path": "Publication:bernhard-2011-maicg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2011-maicg-presentation.ppt",
                "type": "application/vnd.ms-office",
                "size": 12238336,
                "path": "Publication:bernhard-2011-maicg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/bernhard-2011-maicg-presentation.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bernhard-2011-maicg/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_CW",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Contingency Wheel: Visual Analysis of Large Contingency Tables",
        "date": "2011-05-31",
        "abstract": "We present the Contingency Wheel, a visual method for finding and analyzing associations in a large nm contingency\ntable with m < 100 and n being two to three orders of magnitude larger than m. The method is demonstrated on a large\ntable from the Book-Crossing dataset, which counts the number of ratings each book received from each country. It\nenables finding books that received a disproportionately high number of ratings from a specific country. It further allows\nto visually analyze what these books have in common, and with which countries they are also highly associated. Pairs of\nsimilar countries can further be identified (in the sense that many books are associated with both countries). Compared\nwith existing visual methods, our approach enables analyzing and gaining insight into larger tables.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            734,
            166,
            966,
            665
        ],
        "event": "International Workshop on Visual Analytics (2011)",
        "lecturer": [
            734
        ],
        "location": "Bergen, Norway",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_CW-Paper.pdf",
                "type": "application/pdf",
                "size": 693452,
                "path": "Publication:Groeller_2011_CW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_CW/Groeller_2011_CW-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_CW/Groeller_2011_CW-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_CW/",
        "__class": "Publication"
    },
    {
        "id": "sikachev_peter-2011-protovis",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "ProtoVis",
        "date": "2011-05-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 332,
            "image_height": 332,
            "name": "sikachev_peter-2011-protovis-image.png",
            "type": "image/png",
            "size": 138847,
            "path": "Publication:sikachev_peter-2011-protovis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864
        ],
        "event": "Software Seminar",
        "lecturer": [
            864
        ],
        "location": "Vienna",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "Qt",
            "integration",
            "ProtoVis",
            "information visualization",
            "software engineering",
            "JavaScript",
            "C++",
            "VolumeShop"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 332,
                "image_height": 332,
                "name": "sikachev_peter-2011-protovis-image.png",
                "type": "image/png",
                "size": 138847,
                "path": "Publication:sikachev_peter-2011-protovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "sikachev_peter-2011-protovis-presentation.ppt",
                "type": "",
                "size": 2507776,
                "path": "Publication:sikachev_peter-2011-protovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-presentation.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "Passing new data to ProtoVis",
                "filetitle": "video1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 360,
                "name": "sikachev_peter-2011-protovis-video1.wmv",
                "type": "text/plain",
                "size": 158662,
                "path": "Publication:sikachev_peter-2011-protovis",
                "preview_name": "sikachev_peter-2011-protovis-video1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 23253,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-video1.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-video1:thumb{{size}}.png"
            },
            {
                "description": "Retrieving interaction information from ProtoVis",
                "filetitle": "video2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 360,
                "name": "sikachev_peter-2011-protovis-video2.wmv",
                "type": "text/plain",
                "size": 261198,
                "path": "Publication:sikachev_peter-2011-protovis",
                "preview_name": "sikachev_peter-2011-protovis-video2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24438,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-video2.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/sikachev_peter-2011-protovis-video2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-protovis/",
        "__class": "Publication"
    },
    {
        "id": "PH-2011-LDS",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Large Data Scalability in Interactive Visual Analysis",
        "date": "2011-05",
        "abstract": "In many areas of science and industry, the amount of data is growing fast and often already exceeds the ability to evaluate it. On the other hand, the unprecedented amount of available data bears an enormous potential for supporting decision-making. Turning data into comprehensible knowledge is thus a key challenge of the 21st century.\nThe power of the human visual system makes visualization an appropriate method to\ncomprehend large data. In particular interactive visualization enables a discourse between\nthe human brain and the data that can transform a cognitive problem to a perceptual one.\nHowever, the visual analysis of large and complex datasets involves both visual and computational\nchallenges. Visual limits involve perceptual and cognitive limitations of the user and\nrestrictions of the display devices while computational limits are related to the computational\ncomplexity of the involved algorithms.\nThe goal of this thesis is to advance the state of the art in visual analysis with respect to the\nscalability to large datasets. Due to the multifaceted nature of scalability, the contributions\nspan a broad range to enhance computational scalability, to improve the visual scalability of\nselected visualization approaches, and to support an analysis of high-dimensional data.\nConcerning computational scalability, this thesis describes a generic architecture to facilitate\nthe development of highly interactive visual analysis tools using multi-threading. The\narchitecture builds on the separation of the main application thread and dedicated visualization\nthreads, which can be cancelled early due to user interaction. A quantitative evaluation\nshows fast visual feedback during continuous interaction even for millions of entries.\nTwo variants of scatterplots address the visual scalability of different types of data and\ntasks. For continuous data, a combination of 2D and 3D scatterplots intends to combine\nthe advantages of 2D interaction and 3D visualization. Several extensions improve the depth\nperception in 3D and address the problem of unrecognizable point densities in both 2D and\n3D. For partly categorical data, the thesis contributes Hierarchical Difference Scatterplots\nto relate multiple hierarchy levels and to explicitly visualize differences between them in the\ncontext of the absolute position of pivoted values.\nWhile comparisons in Hierarchical Difference Scatterplots are only qualitative, this thesis\nalso contributes an approach for quantifying subsets of the data by means of statistical moments\nfor a potentially large number of dimensions. This approach has proven useful as an\ninitial overview as well as for a quantitative comparison of local features like clusters.\nAs an important application of visual analysis, the validation of regression models also\ninvolves the scalability to multi-dimensional data. This thesis describes a design study of an\napproach called HyperMoVal for this task. The key idea is to visually relate n-dimensional\nscalar functions to known validation data within a combined visualization. The integration\nwith other multivariate views is a step towards a user-centric workflow for model building.\nBeing the result of collaboration with experts in engine design, HyperMoVal demonstrates\nhow visual analysis is suitable to significantly improve real-world tasks. Positive user feedback suggests a high impact of the contributions of this thesis also outside the visualization\nresearch community. Moreover, most contributions of this thesis have been combined in a\ncommercially distributed software framework for engineering applications that will hopefully\nraise the awareness and promote the use of visual analysis in multiple application domains.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1122,
            "image_height": 1590,
            "name": "PH-2011-LDS-Teaser.jpg",
            "type": "image/jpeg",
            "size": 278320,
            "path": "Publication:PH-2011-LDS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            451
        ],
        "date_end": "2011-05",
        "date_start": "2008-10",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            1324
        ],
        "rigorosum": "2011-09-09",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "high dimensionality",
            "Visualization",
            "Scalability",
            "Interaction",
            "Data analysis",
            "multi-threading",
            "scatter plots"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1122,
                "image_height": 1590,
                "name": "PH-2011-LDS-Teaser.jpg",
                "type": "image/jpeg",
                "size": 278320,
                "path": "Publication:PH-2011-LDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Teaser:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PH-2011-LDS-Thesis.pdf",
                "type": "application/pdf",
                "size": 17979794,
                "path": "Publication:PH-2011-LDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/PH-2011-LDS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/PH-2011-LDS/",
        "__class": "Publication"
    },
    {
        "id": "Kinkelin-2011-VR",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Variational Reconstruction and GPU Ray-Casting of Non-Uniform Point Sets using B-Spline Pyramids",
        "date": "2011-05",
        "abstract": "In this work, we focus on the problem of reconstructing a volume (scalar 3D field) based\r\non non-uniform point samples and then rendering the volume by exploiting the processing\r\npower of GPUs.\r\nIn the first part involving the reconstruction, we motivate our choice of tensor-product\r\nuniform B-splines for the discretized representation of the continuous volume. They allow\r\nfor highly efficient, scalable and accurate reconstruction at multiple scales (resolution\r\nlevels) at once. By subdividing the volume into blocks and reconstructing them independently,\r\ncurrent desktop PCs are able to reconstruct large volumes and multiple CPU cores\r\ncan be efficiently exploited. We focus on linear and cubic B-splines and on how to eliminate\r\notherwise resulting block discontinuities.\r\nOnce we have reconstructed the volume at multiple scales, we can derive different\r\nLevels of Detail (LoDs) by subdividing the volume into blocks and selecting a suitable\r\nscale for each block. We present a fusion scheme which guarantees global C0 continuity\r\nfor linear LoDs and C2 continuity for cubic ones. The challenge here is to minimize visual\r\nblock interscale discontinuities.\r\nA LoD, consisting of a hierarchical spatial subdivision into blocks and an autonomous\r\nB-spline coefficient grid for each block, is then rendered via a GPU ray-caster. We achieve\r\ninteractive frame-rates for qualitative Direct Volume Renderings (DVRs) and real-time\r\nframe-rates for iso-surface renderings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            905
        ],
        "supervisor": [
            166,
            636
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kinkelin-2011-VR-Thesis.pdf",
                "type": "application/pdf",
                "size": 100293701,
                "path": "Publication:Kinkelin-2011-VR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kinkelin-2011-VR/Kinkelin-2011-VR-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kinkelin-2011-VR/Kinkelin-2011-VR-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kinkelin-2011-VR/",
        "__class": "Publication"
    },
    {
        "id": "waser_2011_VSD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Steering to Support Decision Making in Visdom",
        "date": "2011-05",
        "abstract": "Computer simulation has become an ubiquitous tool to investigate\nthe nature of systems. When steering a simulation, users modify parameters\nto study their impact on the simulation outcome. The ability to test\nalternative options provides the basis for interactive decision making. Increasingly\ncomplex simulations are characterized by an intricate interplay\nof many heterogeneous input and output parameters. A steering concept\nthat combines simulation and visualization within a single, comprehensive\nsystem is largely missing. This thesis targets the basic components\nof a novel integrated steering system called Visdom to support the user\nin the decision making process. The proposed techniques enable users\nto examine alternative scenarios without the need for special simulation\nexpertise. To accomplish this, we propose World Lines as a management\nstrategy for multiple, related simulation runs. In a dedicated view, users\ncreate and navigate through many simulation runs. New decisions are\nincluded through the concept of branching. To account for uncertain\nknowledge about the input parameters, we provide the ability to cover\nfull parameter distributions. Via multiple cursors, users navigate a system\nof multiple linked views through time and alternative scenarios. In this\nway, the system supports comparative visual analysis of many simulation\nruns. Since the steering process generates a huge amount of information,\nwe employ the machine to support the user in the search for explanations\ninside the computed data. Visdom is built on top of a data-flow network\nto provide a high level of modularity. A decoupled meta-flow is in charge\nof transmitting parameter changes from World Lines to the affected dataflow\nnodes. To direct the user attention to the most relevant parts, we\nprovide dynamic visualization inside the flow diagram. The usefulness of\nthe presented approach is substantiated through case studies in the field\nof flood management. The Visdom application enables the design of a\nbreach closure by dropping sandbags in a virtual environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1000,
            "image_height": 985,
            "name": "waser_2011_VSD-Image.jpg",
            "type": "image/jpeg",
            "size": 134428,
            "path": "Publication:waser_2011_VSD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            798
        ],
        "date_end": "2011-06",
        "date_start": "2008-10",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            1330
        ],
        "rigorosum": "2011-06-15",
        "supervisor": [
            166
        ],
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [
            "CFD",
            "Data-Flow",
            "Simulation Steering",
            "Comparative Visual Analysis",
            "Multiple Simulation Runs",
            "Problem Solving Environment",
            "Hypothesis Generation",
            "Uncertainty",
            "Flood Management"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 985,
                "name": "waser_2011_VSD-Image.jpg",
                "type": "image/jpeg",
                "size": 134428,
                "path": "Publication:waser_2011_VSD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "waser_2011_VSD-Thesis.pdf",
                "type": "application/pdf",
                "size": 41981581,
                "path": "Publication:waser_2011_VSD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/waser_2011_VSD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/waser_2011_VSD/",
        "__class": "Publication"
    },
    {
        "id": "ZL_2011_IVIG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving the Visibility of In-Game Advertisements",
        "date": "2011-05",
        "abstract": "Computer games have become one of the most important parts of entertainment industry.\r\nDue to a tremendous reach, particularly among important customer groups such as\r\nadolescents and young adults, this media is recently considered as an appealing channel\r\nfor advertising. However, little is known about the effectiveness of advertising in computer\r\ngames. Its interactive nature comes with a fundamental difference in the perception of\r\nadvertisements compared to traditional media such as television. The intense user interaction\r\nin computer games interferes with players’ memory and attention, as players primarily\r\nfocus on the current performed task. Information such as advertisements billboards which\r\nis not directly related to the gaming task remains unnoticed. This behavior, known as inattentional\r\nblindness, is a main problem for the optimal placement of information (e.g.\r\ngame-relevant messages) or advertisements in the game’s virtual environment.\r\nThis thesis will review the history, current methods and issues of advertising in computer\r\ngames. It will particularly discuss the perception of embedded advertisement billboards\r\nand propose one way to break through inattentional blindness, in order to make advertisements\r\nwhich are embedded in an action game’s environment more visible. The underlying\r\napproach is based on Wolfe’s theory of Guided Search, which provides a fairly reliable\r\nmodel for top-down controlled visual attention during visual search tasks. Since computer\r\ngames frequently involve visual search tasks, we hypothesize that this model can be applied\r\nin a “reverse” direction to increase the saliency of some advertisements on a cognitive level,\r\nto get noticed even in the presence of a strong task.To validate this hypothesis, a computer\r\ngame was implemented to conduct a user study for testing the memory effectiveness.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1012,
            "image_height": 407,
            "name": "ZL_2011_IVIG-.jpg",
            "type": "image/jpeg",
            "size": 50417,
            "path": "Publication:ZL_2011_IVIG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            839
        ],
        "supervisor": [
            660,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Image",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1012,
                "image_height": 407,
                "name": "ZL_2011_IVIG-.jpg",
                "type": "image/jpeg",
                "size": 50417,
                "path": "Publication:ZL_2011_IVIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ZL_2011_IVIG-poster.pdf",
                "type": "application/pdf",
                "size": 17600086,
                "path": "Publication:ZL_2011_IVIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ZL_2011_IVIG-thesis.pdf",
                "type": "application/pdf",
                "size": 14208296,
                "path": "Publication:ZL_2011_IVIG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/ZL_2011_IVIG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ZL_2011_IVIG/",
        "__class": "Publication"
    },
    {
        "id": "Goldmann_2011_GPU",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards GPU Speech Coding",
        "date": "2011-05",
        "abstract": "Speech transmission is the central service in many telecommunication infrastructures. The encoding\r\nof many channels according to modern standards requires a fair amount of processing\r\ncapacity. With the recent GPU product lines, powerful platforms have become available as supplement\r\nto desktop CPUs. This thesis tries to leverage these developments and examines the\r\npossibilities of general purpose GPU employment in the context of speech coding. The speech\r\ncodec used in the TETRA mobile radio system is implemented using the CUDA programming\r\nmodel. The main question is, how many channels can be encoded in real time on current GPUs.\r\nResults show that through careful implementation and with some effort, a substial number of\r\nchannels can be processed. It seems however that modern multicore CPUs are much better\r\nqualified for the task. The presented optimizations are far from complete and further research\r\ndirections are suggested.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            928
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Goldmann_2011_GPU-poster.pdf",
                "type": "application/pdf",
                "size": 1036794,
                "path": "Publication:Goldmann_2011_GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Goldmann_2011_GPU/Goldmann_2011_GPU-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Goldmann_2011_GPU/Goldmann_2011_GPU-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Goldmann_2011_GPU-thesis.pdf",
                "type": "application/pdf",
                "size": 729279,
                "path": "Publication:Goldmann_2011_GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Goldmann_2011_GPU/Goldmann_2011_GPU-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Goldmann_2011_GPU/Goldmann_2011_GPU-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Goldmann_2011_GPU/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_IPV",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Particle Visualization of 4D MRI Blood-Flow Data",
        "date": "2011-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            891,
            166,
            965,
            459
        ],
        "booktitle": "Biomedical Image Analysis",
        "date_from": "2011-05-31",
        "date_to": "2011-06-03",
        "event": "EuroVis 2011",
        "location": "Bergen, Norway",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller_2011_IPV-Poster.pdf",
                "type": "application/pdf",
                "size": 1097741,
                "path": "Publication:Groeller_2011_IPV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/Groeller_2011_IPV-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/Groeller_2011_IPV-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_IPV/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2011-MSM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Classification Using Multimodal Surface Similarity",
        "date": "2011-04",
        "abstract": "The combination of volume data acquired by multiple modalities has been recognized as an important but challenging task. Modalities often differ in the structures they can delineate and their joint information can be used to extend the classification space. However, they frequently exhibit differing types of artifacts which makes the process of exploiting the additional information non-trivial. In this paper, we present a framework based on an information-theoretic measure of isosurface similarity between different modalities to overcome these problems. The resulting similarity space not only provides a concise overview of the differences between the two modalities, but can serve as the basis for improved selection of features. Multimodal classification is expressed in terms of similarities and dissimilarities between the individual modalities, instead of data value combinations. We demonstrate that our approach can be used to robustly extract features in applications such as dual-energy computed tomography of parts in industrial manufacturing.",
        "authors_et_al": false,
        "substitute": "haidacher-2011-VAM",
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3745,
            "image_height": 4550,
            "name": "haidacher-2011-MSM-Image.jpg",
            "type": "image/jpeg",
            "size": 2416142,
            "path": "Publication:haidacher-2011-MSM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597,
            161,
            166
        ],
        "research_areas": [],
        "keywords": [
            "surface similarity",
            "multimodal visualization",
            "surface extraction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3745,
                "image_height": 4550,
                "name": "haidacher-2011-MSM-Image.jpg",
                "type": "image/jpeg",
                "size": 2416142,
                "path": "Publication:haidacher-2011-MSM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2011-MSM-Report.pdf",
                "type": "application/pdf",
                "size": 7937954,
                "path": "Publication:haidacher-2011-MSM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Report:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 968,
                "name": "haidacher-2011-MSM-Video.avi",
                "type": "video/x-msvideo",
                "size": 44934994,
                "path": "Publication:haidacher-2011-MSM",
                "preview_name": "haidacher-2011-MSM-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 33014,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/haidacher-2011-MSM-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-MSM/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-2011-est",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Estimating Color and Texture Parameters for Vector Graphics",
        "date": "2011-04",
        "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions\nas well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We\nstart by defining a geometric heuristic for the maximum density of color control points along the image curves.\nFollowing this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching\napplications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1609,
            "image_height": 651,
            "name": "jeschke-2011-est-image.jpg",
            "type": "image/jpeg",
            "size": 335306,
            "path": "Publication:jeschke-2011-est",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            809,
            194
        ],
        "date_from": "2011-04-11",
        "date_to": "2011-04-15",
        "event": "Eurographics 2011",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            356
        ],
        "location": "Llandudno (Wales, UK)",
        "note": "This paper won the 2nd best paper award at Eurographics 2011.",
        "number": "2",
        "pages_from": "523",
        "pages_to": "532",
        "volume": "30",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Additional Images",
                "filetitle": "AddImages",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-2011-est-AddImages.pdf",
                "type": "application/pdf",
                "size": 56030462,
                "path": "Publication:jeschke-2011-est",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-AddImages.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-AddImages:thumb{{size}}.png"
            },
            {
                "description": "Fast Forward Video (40 sec)",
                "filetitle": "FF Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 600,
                "preview_image_height": 600,
                "name": "jeschke-2011-est-FF Video.avi",
                "type": "video/x-msvideo",
                "size": 14726626,
                "path": "Publication:jeschke-2011-est",
                "preview_name": "jeschke-2011-est-FF Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 6320,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-FF Video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1609,
                "image_height": 651,
                "name": "jeschke-2011-est-image.jpg",
                "type": "image/jpeg",
                "size": 335306,
                "path": "Publication:jeschke-2011-est",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-2011-est-paper.pdf",
                "type": "application/pdf",
                "size": 17986852,
                "path": "Publication:jeschke-2011-est",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-paper:thumb{{size}}.png"
            },
            {
                "description": "Video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 600,
                "preview_image_height": 600,
                "name": "jeschke-2011-est-Video.avi",
                "type": "video/x-msvideo",
                "size": 42400848,
                "path": "Publication:jeschke-2011-est",
                "preview_name": "jeschke-2011-est-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21887,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-Video:video.mp4"
            },
            {
                "description": "Binary of the Textured Diffusion Curves Viewer and Editor (about 4MB)",
                "filetitle": "ViewerBinary",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-2011-est-ViewerBinary.zip",
                "type": "application/zip",
                "size": 4076615,
                "path": "Publication:jeschke-2011-est",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/jeschke-2011-est-ViewerBinary.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-est/",
        "__class": "Publication"
    },
    {
        "id": "lipp2011a",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Modeling of City Layouts using Layers of Procedural Content",
        "date": "2011-04",
        "abstract": "In this paper, we present new solutions for the interactive modeling of city layouts that combine the power of procedural modeling with the flexibility of manual modeling. Procedural modeling enables us to quickly generate large city layouts, while manual modeling allows us to hand-craft every aspect of a city. We introduce transformation and merging operators for both topology preserving and topology changing transformations based on graph cuts. In combination with a layering system, this allows intuitive manipulation of urban layouts using operations such as drag and drop, translation, rotation etc. In contrast to previous work, these operations always generate valid, i.e., intersection-free layouts. Furthermore, we introduce anchored assignments to make sure that modifications are persistent even if the whole urban layout is regenerated.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "merged",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1282,
            "image_height": 1028,
            "name": "lipp2011a-merged.png",
            "type": "image/png",
            "size": 1963167,
            "path": "Publication:lipp2011a",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-merged.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-merged:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680,
            452,
            194,
            193
        ],
        "date_from": "2011-04-11",
        "date_to": "2011-04-15",
        "event": "Eurographics 2011",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceedings EG 2011)",
        "lecturer": [
            193
        ],
        "location": "Llandudno, UK",
        "number": "2",
        "pages_from": "345",
        "pages_to": "354",
        "volume": "30",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp2011a-draft.pdf",
                "type": "application/pdf",
                "size": 2710173,
                "path": "Publication:lipp2011a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-draft:thumb{{size}}.png"
            },
            "1": {
                "description": null,
                "filetitle": "fast forward movie",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "lipp2011a-fast forward movie.mov",
                "type": "video/quicktime",
                "size": 77835362,
                "path": "Publication:lipp2011a",
                "preview_name": "lipp2011a-fast forward movie:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 53428,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-fast forward movie.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-fast forward movie:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-fast forward movie:video.mp4"
            },
            "3": {
                "description": null,
                "filetitle": "hierarchy",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1821,
                "image_height": 744,
                "name": "lipp2011a-hierarchy.png",
                "type": "image/png",
                "size": 156223,
                "path": "Publication:lipp2011a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-hierarchy.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-hierarchy:thumb{{size}}.png"
            },
            "4": {
                "description": null,
                "filetitle": "merged",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1282,
                "image_height": 1028,
                "name": "lipp2011a-merged.png",
                "type": "image/png",
                "size": 1963167,
                "path": "Publication:lipp2011a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-merged.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-merged:thumb{{size}}.png"
            },
            "5": {
                "description": "Slides with compressed videos embedded",
                "filetitle": "slides_videos",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp2011a-slides_videos.pptx",
                "type": "application/zip",
                "size": 71560592,
                "path": "Publication:lipp2011a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-slides_videos.pptx",
                "thumb_image_sizes": []
            },
            "7": {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3228,
                "image_height": 643,
                "name": "lipp2011a-teaser.jpg",
                "type": "image/jpeg",
                "size": 704713,
                "path": "Publication:lipp2011a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-teaser:thumb{{size}}.png"
            },
            "8": {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "lipp2011a-video.avi",
                "type": "video/x-msvideo",
                "size": 91967238,
                "path": "Publication:lipp2011a",
                "preview_name": "lipp2011a-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 39928,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/lipp2011a-video:video.mp4"
            }
        },
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/lipp2011a/",
        "__class": "Publication"
    },
    {
        "id": "reisner-2011-akgeo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstructing Buildings as Textured Low Poly Meshes from Point Clouds and Images",
        "date": "2011-04",
        "abstract": "Current urban building reconstruction techniques rely mainly on data gathered from either laser scans or image-\nbased approaches, and do usually require a large amount of manual post-processing and modeling. Difficulties arise due to erroneous and noisy data, and due to the huge amount of information to process. We propose a system that helps to overcome these time-consuming steps by automatically generating low-poly 3D building models. This is achieved by taking both information from point clouds and image information into account, exploiting the particular strengths and avoiding the relative weaknesses of these data sources: While the segmented point cloud is used to identify the dominant planar surfaces in 3D space, the images are used to extract accurate edges, fill holes and generate textured polygonal meshes of urban buildings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "clustering surface normals",
            "filetitle": "image-normals",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1200,
            "image_height": 500,
            "name": "reisner-2011-akgeo-image-normals.png",
            "type": "image/png",
            "size": 520021,
            "path": "Publication:reisner-2011-akgeo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            659,
            678
        ],
        "booktitle": "Eurographics 2011 - Short Papers",
        "editor": "Nick Avis and Sylvain Lefebvre",
        "lecturer": [
            847
        ],
        "location": "Llandudno, UK",
        "pages_from": "17",
        "pages_to": "20",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Modeling packages",
            "Computational Geometry and Object Modeli"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image-library",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3114,
                "image_height": 760,
                "name": "reisner-2011-akgeo-image-library.png",
                "type": "image/png",
                "size": 1954691,
                "path": "Publication:reisner-2011-akgeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-library:thumb{{size}}.png"
            },
            {
                "description": "clustering surface normals",
                "filetitle": "image-normals",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 500,
                "name": "reisner-2011-akgeo-image-normals.png",
                "type": "image/png",
                "size": 520021,
                "path": "Publication:reisner-2011-akgeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-image-normals:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2011-akgeo-paper.pdf",
                "type": "application/pdf",
                "size": 701519,
                "path": "Publication:reisner-2011-akgeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/reisner-2011-akgeo-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/reisner-2011-akgeo/",
        "__class": "Publication"
    },
    {
        "id": "scheiblauer-2011-cag",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Out-of-Core Selection and Editing of Huge Point Clouds",
        "date": "2011-04",
        "abstract": "In this paper we present an out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of\na huge point cloud interactively. We can use the selections to segment the point cloud, to delete points, or to render a preview\nof the model without the points in the selections. Furthermore we allow for inserting points into an already existing point cloud.\nAll operations are conducted on a rendering optimized data structure that uses the raw point cloud from a laser scanner, and\nno additionally created points are needed for an ecient level-of-detail (LOD) representation using this data structure. We also\npropose an algorithm to alleviate the artifacts when rendering a point cloud with large discrepancies in density in dierent areas by\nestimating point sizes heuristically. These estimated point sizes can be used to mimic a closed surface on the raw point cloud, also\nwhen the point cloud is composed of several raw laser scans.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Selecting points",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1205,
            "image_height": 806,
            "name": "scheiblauer-2011-cag-image.jpg",
            "type": "image/jpeg",
            "size": 146472,
            "path": "Publication:scheiblauer-2011-cag",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            193
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "2",
        "pages_from": "342",
        "pages_to": "351",
        "volume": "35",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "Graphics data structures and data types",
            "Viewing algorithms",
            "Point-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Selecting points",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1205,
                "image_height": 806,
                "name": "scheiblauer-2011-cag-image.jpg",
                "type": "image/jpeg",
                "size": 146472,
                "path": "Publication:scheiblauer-2011-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-image:thumb{{size}}.png"
            },
            {
                "description": "Out-of-Core Selection and Editing of Huge Point Clouds",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scheiblauer-2011-cag-paper.pdf",
                "type": "application/pdf",
                "size": 7892225,
                "path": "Publication:scheiblauer-2011-cag",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/scheiblauer-2011-cag-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/",
        "__class": "Publication"
    },
    {
        "id": "patel-2011-PEA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "PhD Education Through Apprenticeship",
        "date": "2011-04",
        "abstract": "We describe and analyze the PhD education in the visualization group at the Vienna University of Technology and\r\nset the education in a larger perspective. Four central mechanisms drive the PhD education in Vienna. They are:\r\nto require an article-based PhD; to give the student freedom to choose research direction; to let students work in\r\nshared offices towards joint deadlines; and to involve students in reviewing articles. This paper describes these\r\nmechanisms in detail and illustrates their effect.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 688,
            "image_height": 768,
            "name": "patel-2011-PEA-Image.jpg",
            "type": "image/jpeg",
            "size": 386820,
            "path": "Publication:patel-2011-PEA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            166,
            161
        ],
        "booktitle": "Proceedings of Eurographics 2011 - Education Papers",
        "date_from": "2011-04-11",
        "date_to": "2011-04-15",
        "editor": "S. Maddock, J. Jorge",
        "lecturer": [
            616
        ],
        "location": "Llandudno, United Kingdom",
        "pages_from": "23",
        "pages_to": "28",
        "research_areas": [],
        "keywords": [
            "meister",
            "education",
            "visualization",
            "apprenticeship"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 688,
                "image_height": 768,
                "name": "patel-2011-PEA-Image.jpg",
                "type": "image/jpeg",
                "size": 386820,
                "path": "Publication:patel-2011-PEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel-2011-PEA-Paper.pdf",
                "type": "application/pdf",
                "size": 108383,
                "path": "Publication:patel-2011-PEA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/patel-2011-PEA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/patel-2011-PEA/",
        "__class": "Publication"
    },
    {
        "id": "Carata_2011_IVE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving the Visualization of Electron-Microscopy Data Through Optical Flow Interpolation",
        "date": "2011-04",
        "abstract": "Technical developments in neurobiology have reached a point\r\nwhere the acquisition of high resolution images representing individual\r\nneurons and synapses becomes possible. For this, the brain\r\ntissue samples are sliced using a diamond knife and imaged with\r\nelectron-microscopy (EM). However, the technique achieves a low\r\nresolution in the cutting direction, due to limitations of the mechanical\r\nprocess, making a direct visualization of a dataset difficult. We\r\naim to increase the depth resolution of the volume by adding new\r\nimage slices interpolated from the existing ones, without requiring\r\nmodifications to the EM image-capturing method. As classical interpolation\r\nmethods do not provide satisfactory results on this type\r\nof data, the current paper proposes a re-framing of the problem in\r\nterms of motion volumes, considering the depth axis as a temporal\r\naxis. An optical flow method is adapted to estimate the motion\r\nvectors of pixels in the EM images, and this information is used\r\nto compute and insert multiple new images at certain depths in the\r\nvolume. We evaluate the visualization results in comparison with\r\ninterpolation methods currently used on EM data, transforming the\r\nhighly anisotropic original dataset into a dataset with a larger depth\r\nresolution. The interpolation based on optical flow better reveals\r\nneurite structures with realistic undistorted shapes, and helps to easier\r\nmap neuronal connections.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            981,
            871,
            226,
            166
        ],
        "booktitle": "Proceedings of the 27th Spring Conference on Computer Graphics",
        "date_from": "2011-04-27",
        "date_to": "2011-04-30",
        "lecturer": [
            981
        ],
        "location": "Viničné, Slovak Republic",
        "organization": "Spring Conference on Computer Graphics",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Carata_2011_IVE-Paper.pdf",
                "type": "application/pdf",
                "size": 1897702,
                "path": "Publication:Carata_2011_IVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/Carata_2011_IVE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/Carata_2011_IVE-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Carata_2011_IVE/",
        "__class": "Publication"
    },
    {
        "id": "Gan-2011-ICU",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of a large ICU database - a novel approach to data analysis",
        "date": "2011-03",
        "abstract": "ICUs generate vast amounts of valuable data. The size and complexity of the data make analysis technically demanding and time-consuming. We used interactive visual analysis (IVA) to analyse a large ICU database using the association between sodium and mortality as a case study. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            937,
            235,
            748,
            190,
            938,
            939
        ],
        "date_from": "2011-03-22",
        "date_to": "2011-03-25",
        "event": "31st International Symposium on Intensive Care and Emergency Medicine",
        "issn": "1364-8535",
        "journal": "Critical Care",
        "lecturer": [
            937
        ],
        "location": "Brussels, Belgium",
        "number": "(suppl.1)",
        "pages_from": "135",
        "volume": "15",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gan-2011-ICU-Paper.pdf",
                "type": "application/pdf",
                "size": 6360043,
                "path": "Publication:Gan-2011-ICU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/Gan-2011-ICU-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/Gan-2011-ICU-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Gan-2011-ICU/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2011-PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Multi-faceted Scientific Data",
        "date": "2011-03",
        "abstract": "Visualization plays an important role in exploring, analyzing and presenting large and heterogeneous scientific data that arise in many disciplines of medicine, research, engineering, and others.  We can see that model and data scenarios are becoming increasingly multi-faceted:  data are often multi-variate and time-dependent, they stem from different data sources (multi-modal data), from multiple simulation runs (multi-run data), or from multi-physics simulations of interacting phenomena that consist of coupled simulation models (multi-model data).  The different data characteristics result in special challenges for visualization research and interactive visual analysis.  The data are usually large and come on various types of grids with different resolution that need to be fused in the visual analysis.\r\n\r\nThis thesis deals with different aspects of the interactive visual analysis of multi-faceted scientific data.  The main contributions of this thesis are:  1) a number of novel approaches and strategies for the interactive visual analysis of multi-run data;  2) a concept that enables the feature-based visual analysis across an interface between interrelated parts of heterogeneous scientific data (including data from multi-run and multi-physics simulations);  3) a model for visual analysis that is based on the computation of traditional and robust estimates of statistical moments from higher-dimensional multi-run data;  4) procedures for visual exploration of time-dependent climate data that support the rapid generation of promising hypotheses, which are subsequently evaluated with statistics;  and 5) structured design guidelines for glyph-based 3D visualization of multi-variate data together with a novel glyph.  All these approaches are incorporated in a single framework for interactive visual analysis that uses powerful concepts such as coordinated multiple views, feature specification via brushing, and focus+context visualization.  Especially the data derivation mechanism of the framework has proven to be very useful for analyzing different aspects of the data at different stages of the visual analysis.  The proposed concepts and methods are demonstrated in a number of case studies that are based on multi-run climate data and data from a multi-physics simulation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 535,
            "image_height": 791,
            "name": "Kehrer-2011-PhD-image.jpg",
            "type": "image/jpeg",
            "size": 121627,
            "path": "Publication:Kehrer-2011-PhD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983
        ],
        "co_supervisor": [
            166
        ],
        "date_end": "2011-03",
        "date_start": "2007-12",
        "reviewer_1": [
            1309
        ],
        "reviewer_2": [
            1318
        ],
        "rigorosum": "May 27, 2011",
        "supervisor": [
            176
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 535,
                "image_height": 791,
                "name": "Kehrer-2011-PhD-image.jpg",
                "type": "image/jpeg",
                "size": 121627,
                "path": "Publication:Kehrer-2011-PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2011-PhD-Slides.pdf",
                "type": "application/pdf",
                "size": 4731083,
                "path": "Publication:Kehrer-2011-PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-Slides:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2011-PhD-Thesis.pdf",
                "type": "application/pdf",
                "size": 12193125,
                "path": "Publication:Kehrer-2011-PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/Kehrer-2011-PhD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Kehrer-2011-PhD/",
        "__class": "Publication"
    },
    {
        "id": "knecht_martin-2011-FPSPAR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Framework For Perceptual Studies In Photorealistic Augmented Reality",
        "date": "2011-03",
        "abstract": "In photorealistic augmented reality virtual objects are integrated in the real world in a seamless visual manner. To obtain a perfect visual augmentation these objects must be rendered indistinguishable from real objects and should be perceived as such. In this paper we propose a research test bed framework to study the different unresolved perceptual issues in photorealistic augmented reality and its application to different disciplines. The framework computes a global illumination approximation in real-time and therefore leverages a new class of experimental research topics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Shows a participant performing the experiment",
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1000,
            "image_height": 664,
            "name": "knecht_martin-2011-FPSPAR-image2.JPG",
            "type": "image/jpeg",
            "size": 459755,
            "path": "Publication:knecht_martin-2011-FPSPAR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            917,
            237,
            193,
            916
        ],
        "booktitle": "Proceedings of the 3rd IEEE VR 2011 Workshop on Perceptual Illusions in Virtual Environments",
        "date_from": "2011-03-19",
        "date_to": "2011-03-19",
        "editor": "Frank Steinicke, Pete Willemsen",
        "lecturer": [
            736
        ],
        "location": "Singapore",
        "pages_from": "27",
        "pages_to": "32",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "photorealistic augmented reality",
            "real-time global illumination",
            "human perception"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "This image shows the augmented scene of our experiment including shadows and color bleeding",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 791,
                "image_height": 591,
                "name": "knecht_martin-2011-FPSPAR-image.jpg",
                "type": "image/jpeg",
                "size": 353116,
                "path": "Publication:knecht_martin-2011-FPSPAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image:thumb{{size}}.png"
            },
            {
                "description": "Shows the green box and the markers for hand tracking",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 664,
                "name": "knecht_martin-2011-FPSPAR-image1.JPG",
                "type": "image/jpeg",
                "size": 313207,
                "path": "Publication:knecht_martin-2011-FPSPAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image1.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image1:thumb{{size}}.png"
            },
            {
                "description": "Shows a participant performing the experiment",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 664,
                "name": "knecht_martin-2011-FPSPAR-image2.JPG",
                "type": "image/jpeg",
                "size": 459755,
                "path": "Publication:knecht_martin-2011-FPSPAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image2:thumb{{size}}.png"
            },
            {
                "description": "Shows the three different rendering modes",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1800,
                "image_height": 600,
                "name": "knecht_martin-2011-FPSPAR-image3.tif",
                "type": "image/tiff",
                "size": 3268924,
                "path": "Publication:knecht_martin-2011-FPSPAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image3.tif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-image3:thumb{{size}}.png"
            },
            {
                "description": "A Framework For Perceptual Studies In Photorealistic Augmented Reality",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin-2011-FPSPAR-paper.pdf",
                "type": "application/pdf",
                "size": 394970,
                "path": "Publication:knecht_martin-2011-FPSPAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/knecht_martin-2011-FPSPAR-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/knecht_martin-2011-FPSPAR/",
        "__class": "Publication"
    },
    {
        "id": "Muigg_2011_ISI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Seismic Interpretation with Piecewise Global Energy Minimization",
        "date": "2011-03",
        "abstract": "Increasing demands in world-wide energy consumption and oil depletion\r\nof large reservoirs have resulted in the need for exploring\r\nsmaller and more complex oil reservoirs. Planning of the reservoir\r\nvalorization usually starts with creating a model of the subsurface\r\nstructures, including seismic faults and horizons. However, seismic\r\ninterpretation and horizon tracing is a difficult and error-prone task,\r\noften resulting in hours of work needing to be manually repeated.\r\nIn this paper, we propose a novel, interactive workflow for horizon\r\ninterpretation based on well positions, which include additional geological\r\nand geophysical data captured by actual drillings. Instead\r\nof interpreting the volume slice-by-slice in 2D, we propose 3D seismic\r\ninterpretation based on well positions. We introduce a combination\r\nof 2D and 3D minimal cost path and minimal cost surface\r\ntracing for extracting horizons with very little user input. By processing\r\nthe volume based on well positions rather than slice-based,\r\nwe are able to create a piecewise optimal horizon surface at interactive\r\nrates. We have integrated our system into a visual analysis\r\nplatform which supports multiple linked views for fast verification,\r\nexploration and analysis of the extracted horizons. The system is\r\ncurrently being evaluated by our collaborating domain experts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            963,
            818,
            947,
            662,
            212,
            964,
            226
        ],
        "booktitle": "Proceedings of IEEE Pacific Visualization 2011",
        "date_from": "2011-03-01",
        "date_to": "2011-03-04",
        "isbn": " 978-1-61284-935-5 ",
        "lecturer": [
            963
        ],
        "location": "Hong Kong",
        "organization": "The 4th IEEE Pacific Visualization Symposium (PacificVis 2011)",
        "pages_from": "59",
        "pages_to": "66",
        "publisher": "IEEE Pacific Visualization 2011",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Muigg_2011_ISI-Paper.pdf",
                "type": "application/pdf",
                "size": 6377696,
                "path": "Publication:Muigg_2011_ISI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/Muigg_2011_ISI-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/Muigg_2011_ISI-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Muigg_2011_ISI/",
        "__class": "Publication"
    },
    {
        "id": "NK_2011",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Weighted Mesh Simplification of 3D Triangular Surfaces",
        "date": "2011-03",
        "abstract": "Representing huge triangular datasets in a real-time rendering \r\nenvironment is a challenge receiving continuous attention. There is a \r\ngrowing complexity of geometric meshes on the one hand and increasing \r\ncomputational power of graphics hardware on the other hand. Although \r\nhardware acceleration is very powerful, simplification using software is \r\nmuch cheaper and more flexible.\r\nAdditionally, for a large class of geometric models, simplification can \r\nbe performed as a preprocessing step that does not need to run in real-time.\r\nThe underlying theory of this diploma thesis is based on mesh \r\nsimplification using quadric error metrics. This algorithm was first \r\npublished by Michael Garland. It was implemented into Aardvark, a \r\nsophisticated rendering framework. It contains  a comprehensive set of \r\nlibraries dealing with data structures in general and polygonal mesh \r\ndata structures in particular.\r\nThe application takes a triangulated mesh as input and iteratively \r\ncreates a more and more simplified approximation by weighting and \r\ncollapsing suitable mesh areas. Some surface details will be lost, but \r\nthe overall shape of the model will be preserved. The presented code can \r\nhandle models by preprocessing static, closed triangular meshes. The \r\niterative computation stops if an user specified percentage of the \r\noriginal mesh size is reached.\r\nA further improvement in a later research project will try to add vertex\r\ncolors and texture coordinates to the simplification procedure.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 503,
            "image_height": 353,
            "name": "NK_2011-image.jpg",
            "type": "image/jpeg",
            "size": 28708,
            "path": "Publication:NK_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            911
        ],
        "supervisor": [
            190,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 503,
                "image_height": 353,
                "name": "NK_2011-image.jpg",
                "type": "image/jpeg",
                "size": 28708,
                "path": "Publication:NK_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "NK_2011-Poster.pdf",
                "type": "application/pdf",
                "size": 3334902,
                "path": "Publication:NK_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "NK_2011-Thesis.pdf",
                "type": "application/pdf",
                "size": 3478176,
                "path": "Publication:NK_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/NK_2011-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/NK_2011/",
        "__class": "Publication"
    },
    {
        "id": "matt2011",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Screen-Space Ambient Occlusion",
        "date": "2011-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image-sibenik",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "matt2011-image-sibenik.png",
            "type": "image/png",
            "size": 891767,
            "path": "Publication:matt2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            452,
            193
        ],
        "booktitle": "GPU Pro 2",
        "editor": "Wolfgang Engel",
        "isbn": "978-1568817187",
        "pages_from": "123",
        "pages_to": "142",
        "publisher": "A.K. Peters",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "ambient occlusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image-sibenik",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "matt2011-image-sibenik.png",
                "type": "image/png",
                "size": 891767,
                "path": "Publication:matt2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-sibenik:thumb{{size}}.png"
            },
            {
                "description": "convergence-aware filter",
                "filetitle": "image-tssao-filter",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 700,
                "image_height": 640,
                "name": "matt2011-image-tssao-filter.png",
                "type": "image/png",
                "size": 243838,
                "path": "Publication:matt2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-filter:thumb{{size}}.png"
            },
            {
                "description": "no filtering used",
                "filetitle": "image-tssao-no-filter",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 700,
                "image_height": 640,
                "name": "matt2011-image-tssao-no-filter.png",
                "type": "image/png",
                "size": 1346876,
                "path": "Publication:matt2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/matt2011-image-tssao-no-filter:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/matt2011/",
        "__class": "Publication"
    },
    {
        "id": "Habel_LSN_2011",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Level-of-Detail and Streaming Optimized Irradiance Normal Mapping",
        "date": "2011-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 768,
            "name": "Habel_LSN_2011-.png",
            "type": "image/png",
            "size": 1449599,
            "path": "Publication:Habel_LSN_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Habel_LSN_2011/Habel_LSN_2011-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Habel_LSN_2011/Habel_LSN_2011-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            887,
            193
        ],
        "booktitle": "GPU Pro 2",
        "editor": "Wolfgang Engel",
        "isbn": "978-1568817187",
        "pages_from": "143",
        "pages_to": "158",
        "publisher": "A.K. Peters",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 768,
                "name": "Habel_LSN_2011-.png",
                "type": "image/png",
                "size": 1449599,
                "path": "Publication:Habel_LSN_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Habel_LSN_2011/Habel_LSN_2011-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Habel_LSN_2011/Habel_LSN_2011-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Habel_LSN_2011/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2011d",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Real-Time Hard Shadow Mapping Methods",
        "date": "2011-02",
        "abstract": "Due to its versatility, speed and robustness, shadow mapping has always been a popular algorithm for fast hard shadow generation since its introduction in 1978, first for off-line film productions and later increasingly so in real-time graphics.\nSo it is not surprising that recent years have seen an explosion in the number of shadow map related publications. The last survey that encompassed shadow mapping approaches, but was mainly focused on soft shadow generation, dates back to 2003~cite{HLHS03}, while the last survey for general shadow generation dates back to 1990~cite{Woo:1990:SSA}. No survey that describes all the advances made in hard shadow map generation in recent years exists.\n\nOn the other hand, shadow mapping is widely used in the game industry, in production, and in many other applications, and it is the basis of many soft shadow algorithms. Due to the abundance of articles on the topic, it has become very hard for practitioners and researchers to select a suitable shadow algorithm, and therefore many applications miss out on the latest high-quality shadow generation approaches. \nThe goal of this survey is to rectify this situation by providing a detailed overview of this field. We provide a detailed analysis of shadow mapping errors and derive a comprehensive classification of the existing methods. We discuss the most influential algorithms, consider their benefits and shortcomings and thereby provide the readers with the means to choose the shadow algorithm best suited to their needs.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "depthBiasSketch",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 718,
            "image_height": 720,
            "name": "scherzer2011d-depthBiasSketch.png",
            "type": "image/png",
            "size": 33344,
            "path": "Publication:scherzer2011d",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-depthBiasSketch.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-depthBiasSketch:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            193,
            190
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "1",
        "pages_from": "169",
        "pages_to": "186",
        "volume": "30",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "depthBiasSketch",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 718,
                "image_height": 720,
                "name": "scherzer2011d-depthBiasSketch.png",
                "type": "image/png",
                "size": 33344,
                "path": "Publication:scherzer2011d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-depthBiasSketch.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-depthBiasSketch:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "IrregularSamplingEye",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "name": "scherzer2011d-IrregularSamplingEye.png",
                "type": "image/png",
                "size": 35795,
                "path": "Publication:scherzer2011d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-IrregularSamplingEye.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-IrregularSamplingEye:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "IrregularSamplingLight",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "name": "scherzer2011d-IrregularSamplingLight.png",
                "type": "image/png",
                "size": 31583,
                "path": "Publication:scherzer2011d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-IrregularSamplingLight.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-IrregularSamplingLight:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer2011d-pdf.pdf",
                "type": "application/pdf",
                "size": 25519878,
                "path": "Publication:scherzer2011d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-pdf:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "ShadowGeometry",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1134,
                "image_height": 491,
                "name": "scherzer2011d-ShadowGeometry.png",
                "type": "image/png",
                "size": 21961,
                "path": "Publication:scherzer2011d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-ShadowGeometry.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/scherzer2011d-ShadowGeometry:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011d/",
        "__class": "Publication"
    },
    {
        "id": "2011scherzerE",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Soft Shadows with Temporal Coherence",
        "date": "2011-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "algorithm flowchart",
            "filetitle": "flowchart",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2480,
            "image_height": 2832,
            "name": "2011scherzerE-flowchart.png",
            "type": "image/png",
            "size": 699525,
            "path": "Publication:2011scherzerE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            678,
            326
        ],
        "booktitle": "GPU Pro 2",
        "editor": "Wolfgang Engel",
        "isbn": "978-1568817187",
        "pages_from": "243",
        "pages_to": "255",
        "publisher": "A.K. Peters",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "algorithm flowchart",
                "filetitle": "flowchart",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2480,
                "image_height": 2832,
                "name": "2011scherzerE-flowchart.png",
                "type": "image/png",
                "size": 699525,
                "path": "Publication:2011scherzerE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/2011scherzerE-flowchart:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/2011scherzerE/",
        "__class": "Publication"
    },
    {
        "id": "bittner-2011-scc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shadow Caster Culling for Efficient Shadow Mapping",
        "date": "2011-02",
        "abstract": "We propose a novel method for efficient construction of shadow maps by culling shadow casters which do not contribute to visible shadows. The method uses a mask of potential shadow receivers to cull shadow casters using a hierarchical occlusion culling algorithm. We propose several variants of the receiver mask implementations with different culling efficiency and computational costs.\nFor scenes with statically focused shadow maps we designed an efficient strategy to incrementally update the shadow map, which comes close to the rendering performance for unshadowed scenes. We show that our method achieves 3x-10x speedup for rendering large city like scenes and 1.5x-2x speedup for rendering an actual game scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "shadows",
            "filetitle": "image-l4d",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1273,
            "image_height": 691,
            "name": "bittner-2011-scc-image-l4d.png",
            "type": "image/png",
            "size": 1306467,
            "path": "Publication:bittner-2011-scc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            326,
            897,
            193
        ],
        "booktitle": "Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2011",
        "date_from": "2011-02-18",
        "date_to": "2011-02-20",
        "isbn": "978-1-4503-0565-5",
        "lecturer": [
            198
        ],
        "location": "San Francisco",
        "organization": "ACM SIGGRAPH",
        "pages_from": "81",
        "pages_to": "88",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion culling",
            "shadow mapping"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bittner-2011-scc-draft.pdf",
                "type": "application/pdf",
                "size": 2530764,
                "path": "Publication:bittner-2011-scc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-draft:thumb{{size}}.png"
            },
            "2": {
                "description": "shadows",
                "filetitle": "image-l4d",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1273,
                "image_height": 691,
                "name": "bittner-2011-scc-image-l4d.png",
                "type": "image/png",
                "size": 1306467,
                "path": "Publication:bittner-2011-scc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-l4d:thumb{{size}}.png"
            },
            "3": {
                "description": "shadowcasters",
                "filetitle": "image-lightview",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1273,
                "image_height": 689,
                "name": "bittner-2011-scc-image-lightview.png",
                "type": "image/png",
                "size": 184051,
                "path": "Publication:bittner-2011-scc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-lightview.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-lightview:thumb{{size}}.png"
            },
            "4": {
                "description": "lispsm",
                "filetitle": "image-masking",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 1254,
                "name": "bittner-2011-scc-image-masking.png",
                "type": "image/png",
                "size": 304042,
                "path": "Publication:bittner-2011-scc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-masking.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-masking:thumb{{size}}.png"
            },
            "5": {
                "description": "manhattan",
                "filetitle": "image-newyork",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 1280,
                "name": "bittner-2011-scc-image-newyork.png",
                "type": "image/png",
                "size": 977441,
                "path": "Publication:bittner-2011-scc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-newyork.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-image-newyork:thumb{{size}}.png"
            },
            "6": {
                "description": "video",
                "filetitle": "l4dead",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 960,
                "preview_image_height": 720,
                "name": "bittner-2011-scc-l4dead.wmv",
                "type": "text/plain",
                "size": 97819412,
                "path": "Publication:bittner-2011-scc",
                "preview_name": "bittner-2011-scc-l4dead:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 31844,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-l4dead.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-l4dead:thumb{{size}}.png"
            },
            "7": {
                "description": "all-scenes-walkthrough",
                "filetitle": "video-casterculling",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "bittner-2011-scc-video-casterculling.avi",
                "type": "video/x-msvideo",
                "size": 82113594,
                "path": "Publication:bittner-2011-scc",
                "preview_name": "bittner-2011-scc-video-casterculling:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 28542,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-video-casterculling.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-video-casterculling:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/bittner-2011-scc-video-casterculling:video.mp4"
            }
        },
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/bittner-2011-scc/",
        "__class": "Publication"
    },
    {
        "id": "marek-2011-normalest",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Normal Estimation of Very Large Point Clouds",
        "date": "2011-02",
        "abstract": "This diploma thesis introduces methods for external sorting and fast k nearest\r\nneighbor searching for very large point clouds. Very large point clouds are datasets\r\nthat can not be processed in main memory. This leads to certain requirements for\r\nany used reconstruction technique. The most important ones are out-of-core memory\r\nmanagement and sequential data handling algorithms. The paper “Stream-\r\nProcessing Points” by Renato Pajarola shows a way to design a framework which\r\nallows to process a subset of very large point clouds. A subset is defined as a\r\nspatially continuous region holding a predefined number of points. This diploma\r\nthesis is based on the aforementioned paper and improves on the stream processing\r\npipeline presented therein. The proposed algorithm for searching the k nearest\r\nneighbors has a complexity of O(N \u0003 log(M)), where N are all points in the point\r\ncloud and M are all points in main memory, which is similar to current state of the\r\nart algorithms for in-core processed data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Normals estimated in the Domitilla Catacomb model with approximately 2 billion points.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1098,
            "image_height": 760,
            "name": "marek-2011-normalest-image.png",
            "type": "image/png",
            "size": 1270924,
            "path": "Publication:marek-2011-normalest",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            653
        ],
        "date_start": "2007-07-23",
        "matrikelnr": "0026455",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Out-of-Core algorithms",
            "Point-based rendering",
            "Normal estimation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Normals estimated in the Domitilla Catacomb model with approximately 2 billion points.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1098,
                "image_height": 760,
                "name": "marek-2011-normalest-image.png",
                "type": "image/png",
                "size": 1270924,
                "path": "Publication:marek-2011-normalest",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marek-2011-normalest-poster.pdf",
                "type": "application/pdf",
                "size": 4926150,
                "path": "Publication:marek-2011-normalest",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-poster:thumb{{size}}.png"
            },
            {
                "description": "The thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "marek-2011-normalest-thesis.pdf",
                "type": "application/pdf",
                "size": 18538023,
                "path": "Publication:marek-2011-normalest",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/marek-2011-normalest-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/marek-2011-normalest/",
        "__class": "Publication"
    },
    {
        "id": "TK_2011",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spectral data representation techniques for realistic image synthesis",
        "date": "2011-02",
        "abstract": "Digital image synthesis is used in many industrial applications. One goal of this discipline\r\nis the physical correct simulation of natural phenomena such as the color of the blue\r\nsky or refraction in translucent materials. To accomplish this goal the usage of spectral\r\ndata for the representation of color information is indispensable. For this purpose different\r\nmethods were developed over the years. These methods face the challenge of accurately\r\nrepresenting complex data (e.g. fluorescent light sources). My work compares these methods\r\nusing the color difference formula CIEDE2000 as well as a large data set for testing\r\n(NCS atlas), and answers the question whether the application of low pass filters during\r\nsampling rate conversions does, or does not influence the accuracy of the representation\r\nmethods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 384,
            "name": "TK_2011-Image.png",
            "type": "image/png",
            "size": 134433,
            "path": "Publication:TK_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            744
        ],
        "diploma_examina": "2011",
        "supervisor": [
            190,
            567
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 384,
                "name": "TK_2011-Image.png",
                "type": "image/png",
                "size": 134433,
                "path": "Publication:TK_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TK_2011-Thesis.pdf",
                "type": "application/pdf",
                "size": 8093178,
                "path": "Publication:TK_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/TK_2011-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/TK_2011/",
        "__class": "Publication"
    },
    {
        "id": "Sollboeck_2011_FSS",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fuzzy Spreadsheets",
        "date": "2011-01-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            931
        ],
        "date_start": "2011-01-01",
        "matrikelnr": "0325684",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Sollboeck_2011_FSS/",
        "__class": "Publication"
    },
    {
        "id": "vucini-2011",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Visualization with Real-Time Frequency-based Transfer Functions",
        "date": "2011-01",
        "abstract": "Transfer functions have a crucial role in the understanding and visualization of 3D data. While research has\r\nscrutinized the possible uses of one and multi-dimensional transfer functions in the spatial domain, to our\r\nknowledge, no attempt has been done to explore transfer functions in the frequency domain. In this work we\r\npropose transfer functions for the purpose of frequency analysis and visualization of 3D data. Frequency-based\r\ntransfer functions offer the possibility to discriminate signals, composed from different frequencies, to analyze\r\nproblems related to signal processing, and to help understanding the link between the modulation of specific\r\nfrequencies and their impact on the spatial domain. We demonstrate the strength of frequency-based transfer\r\nfunctions by applying them to medical CT, ultrasound and MRI data, physics data as well as synthetic seismic\r\ndata. The interactive design of complex filters for feature enhancement can be a useful addition to conventional\r\nclassification techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 520,
            "image_height": 419,
            "name": "vucini-2011-image.jpg",
            "type": "image/jpeg",
            "size": 99382,
            "path": "Publication:vucini-2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            616,
            166
        ],
        "booktitle": "Proceedings of IS&T/SPIE Conference on Visualization and Data Analysis",
        "date_from": "2011-01-23",
        "date_to": "2011-01-27",
        "isbn": "978-0-8194-8405-5",
        "lecturer": [
            636
        ],
        "location": "San Francisco, USA",
        "organization": "IS&T/SPIE",
        "pages_from": "78680L-1",
        "pages_to": "78680L-12",
        "series": "7868",
        "research_areas": [],
        "keywords": [
            "Real Time",
            "Data Enhancement",
            "Frequency Analysis",
            "Transfer Function",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 520,
                "image_height": 419,
                "name": "vucini-2011-image.jpg",
                "type": "image/jpeg",
                "size": 99382,
                "path": "Publication:vucini-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vucini-2011-paper.pdf",
                "type": "application/pdf",
                "size": 5492510,
                "path": "Publication:vucini-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1588,
                "preview_image_height": 780,
                "name": "vucini-2011-video.avi",
                "type": "video/x-msvideo",
                "size": 3856600,
                "path": "Publication:vucini-2011",
                "preview_name": "vucini-2011-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 45746,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/vucini-2011-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/vucini-2011/",
        "__class": "Publication"
    },
    {
        "id": "ohrhallinger_stefan-2011-001",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interpolating an unorganized 2D point cloud with a single closed shape",
        "date": "2011-01",
        "abstract": "Given an unorganized two-dimensional point cloud, we address the problem of efficiently constructing a single aesthetically pleasing closed interpolating shape, without requiring dense or uniform spacing. Using Gestalt’s laws of proximity, closure and good continuity as guidance for visual aesthetics, we require that our constructed shape be a minimal perimeter, non-self intersecting manifold. We find that this yields visually pleasing results. Our algorithm is distinct from earlier shape reconstruction approaches, in that it exploits the overlap between the desired shape and a related minimal graph, the Euclidean Minimum Spanning Tree (EMST). Our algorithm segments the EMST to retain as much of it as required and then locally partitions and solves the problem efficiently. Comparison with some of the best currently known solutions shows that our algorithm yields better results.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 856,
            "image_height": 370,
            "name": "ohrhallinger_stefan-2011-001-thumbnail.png",
            "type": "image/png",
            "size": 93144,
            "path": "Publication:ohrhallinger_stefan-2011-001",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            948,
            1024
        ],
        "issn": "0010-4485",
        "journal": "Computer-Aided Design",
        "number": "1",
        "pages_from": "1629",
        "pages_to": "1638",
        "volume": "43",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "EMST",
            "Curve",
            "Point cloud",
            "Reconstruction",
            "Shape Construction",
            "Boundary",
            "Computational geometry",
            "Point set"
        ],
        "weblinks": [
            {
                "href": "http://www.cg.tuwien.ac.at/~stef/ohrhallinger11_Interpolating%20an%20unorganized%202D%20point%20cloud%20with%20a%20single%20closed%20shape_PREPRINT.pdf",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Reconstruction of 2D Point Cloud",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ohrhallinger_stefan-2011-001-paper.pdf",
                "type": "application/pdf",
                "size": 1137154,
                "path": "Publication:ohrhallinger_stefan-2011-001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 856,
                "image_height": 370,
                "name": "ohrhallinger_stefan-2011-001-thumbnail.png",
                "type": "image/png",
                "size": 93144,
                "path": "Publication:ohrhallinger_stefan-2011-001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/ohrhallinger_stefan-2011-001-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/ohrhallinger_stefan-2011-001/",
        "__class": "Publication"
    },
    {
        "id": "praeauer-2011-et",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Preparing an Eyetracking Experiment with a Computer Game",
        "date": "2011",
        "abstract": "The goal was to establish a methodology to record, playback and analyze gaze-data in 2D action games. Therefore a computer game was extended with functionality to record game states and control an eye-tracker. Further analysis software was implemented to map fixations back to game objects to derive fixation counts per object.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 799,
            "image_height": 631,
            "name": "praeauer-2011-et-image.png",
            "type": "image/png",
            "size": 605181,
            "path": "Publication:praeauer-2011-et",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            914,
            915
        ],
        "date_end": "2011-09-30",
        "date_start": "2011-03-10",
        "matrikelnr": "0728095, 0728098",
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 799,
                "image_height": 631,
                "name": "praeauer-2011-et-image.png",
                "type": "image/png",
                "size": 605181,
                "path": "Publication:praeauer-2011-et",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-image:thumb{{size}}.png"
            },
            {
                "description": "Dokumentation",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "praeauer-2011-et-report.pdf",
                "type": "application/pdf",
                "size": 1739446,
                "path": "Publication:praeauer-2011-et",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/praeauer-2011-et-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/praeauer-2011-et/",
        "__class": "Publication"
    },
    {
        "id": "Pramerdorfer-2011-PAV",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Processing Audio Visualization",
        "date": "2011",
        "abstract": "Processing Audio Visualization (PAV) is a music visualization project based on Processing and Java. \r\nThe project consists of three parts:\r\nThe 'libpav' library for music visualization, the 'pav' application for visualizing music that is streamed over the network using the 'libpav' library, and the 'pav-player' a simple audio player with tag support, that streams audio data to pav over the network.\r\nPAV is released under the GPL v3 license and can be downloaded from github. \r\n\r\nThe full documentation is available at: http://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/CPramerdorfer/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 710,
            "image_height": 550,
            "name": "Pramerdorfer-2011-PAV-.png",
            "type": "image/png",
            "size": 226238,
            "path": "Publication:Pramerdorfer-2011-PAV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Pramerdorfer-2011-PAV/Pramerdorfer-2011-PAV-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Pramerdorfer-2011-PAV/Pramerdorfer-2011-PAV-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            908
        ],
        "matrikelnr": "0626747",
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [
            "Audio Visualization",
            "Music Visualization",
            "Processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 710,
                "image_height": 550,
                "name": "Pramerdorfer-2011-PAV-.png",
                "type": "image/png",
                "size": 226238,
                "path": "Publication:Pramerdorfer-2011-PAV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Pramerdorfer-2011-PAV/Pramerdorfer-2011-PAV-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Pramerdorfer-2011-PAV/Pramerdorfer-2011-PAV-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Pramerdorfer-2011-PAV/",
        "__class": "Publication"
    },
    {
        "id": "prieler_11_patchmatch",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Patchmatch for Texture Synthesis",
        "date": "2011",
        "abstract": "The goal of this course was to implement a texture synthesis algorithm and analyze its performance and visual quality. Two papers form the theoretical foundation of this project: “Texture Optimization for Example-based Synthesis” by Kwatra et al [KEBK05] and “Patchmatch: A randomized Correspondence Algorithm for\r\nStructural Image Editing” by Barnes et al [BSFG09].",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            944
        ],
        "matrikelnr": "0726319",
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "Texture synthesis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "written report about the project",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "prieler_11_patchmatch-report.pdf",
                "type": "application/pdf",
                "size": 8338935,
                "path": "Publication:prieler_11_patchmatch",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/prieler_11_patchmatch-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/prieler_11_patchmatch-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/prieler_11_patchmatch/",
        "__class": "Publication"
    },
    {
        "id": "weiner_2011",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Easydrawer - A 2D Geometric Construction Tool",
        "date": "2011",
        "abstract": "Easydrawer is a graphical computer application which helps users\nto draw 2D constructions as they would do on a sheet of paper using\na pair of compasses, a ruler and a pen. Easydrawer can significantly\nincrease the productivity of geometrical drawers and help in making\nthe construction process transparent to persons who are currently\ntrained in technical drawing.\nThe application comes with some features which specially qualify\nit for educational use. They are mainly: colorization of primitives,\ngradually playing back creation-history, entering author’s\ncomments for each construction step, hiding or highlighting construction\nparts and giving objects a name. Users are able to directly\nuse any paper-construction know-how with this tool. This means\nthat users will not forget how to draw on a sheet of paper.\nIn addition, Easydrawer supports geometric drawers when it comes\nto quality (exactness in distance and angle measurement, calculating\nintersections and completely dirt-free constructions), working\nspeed and simplifying their job (blending-out uninteresting parts of\nthe construction or coloring primitives, for example).\nTo cover all constructions which are possible on a sheet of paper,\nthe following primitives and operations are integrated:\n Primitives: points, lines, circles, text (as a primitive or as description\nof other primitives), splines (for free-hand parts as\nthey are needed to draw ellipses or parables, for example) and\nareas (for shadow simulation).\n Operations: intersection of two lines, line and circle or two\ncircles, changing visibility mode of primitives and coloring\nprimitives.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 675,
            "name": "weiner_2011-image.jpg",
            "type": "image/jpeg",
            "size": 100131,
            "path": "Publication:weiner_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            904
        ],
        "date_end": "2011",
        "date_start": "2011",
        "matrikelnr": "e0525190",
        "supervisor": [
            636
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Point",
            "Ruler-and-compass construction",
            "Geometrical drawing tool"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Bachelor Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "weiner_2011-Bachelor Thesis.pdf",
                "type": "application/pdf",
                "size": 3798659,
                "path": "Publication:weiner_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-Bachelor Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-Bachelor Thesis:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 675,
                "name": "weiner_2011-image.jpg",
                "type": "image/jpeg",
                "size": 100131,
                "path": "Publication:weiner_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/weiner_2011-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/weiner_2011/",
        "__class": "Publication"
    },
    {
        "id": "radits_2011_gahdr",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "A gaze adaptive HDR image viewer",
        "date": "2011",
        "abstract": "An HDR image viewer was implemented which adjusts a global tonemapper by analysing local image features at the position of a user's gaze. In the developed prototype the gaze position was specified by the mouse. However, the system was designed to be connected to an eye-tracker in future projects.  ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 354,
            "image_height": 437,
            "name": "radits_2011_gahdr-image.png",
            "type": "image/png",
            "size": 46136,
            "path": "Publication:radits_2011_gahdr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            888
        ],
        "date_end": "2011-03",
        "date_start": "2010-11",
        "matrikelnr": "0005880",
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Documentation",
                "filetitle": "documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "radits_2011_gahdr-documentation.pdf",
                "type": "application/pdf",
                "size": 792908,
                "path": "Publication:radits_2011_gahdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-documentation:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 354,
                "image_height": 437,
                "name": "radits_2011_gahdr-image.png",
                "type": "image/png",
                "size": 46136,
                "path": "Publication:radits_2011_gahdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "radits_2011_gahdr-report.pdf",
                "type": "application/pdf",
                "size": 645945,
                "path": "Publication:radits_2011_gahdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/radits_2011_gahdr-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radits_2011_gahdr/",
        "__class": "Publication"
    },
    {
        "id": "radwan-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Texture mapping large point clouds with out-of-core point based rendering algorithms",
        "date": "2011",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            923
        ],
        "date_start": "2011-07",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/radwan-thesis/",
        "__class": "Publication"
    },
    {
        "id": "RAUCH-2011-TMS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Texture Mapping in a Software Rasterizer",
        "date": "2011",
        "abstract": "Implementierung von Texture Mapping im CG1-Laborübungs-Framework. Siehe\r\nhttp://www.cg.tuwien.ac.at/courses/EinfCG/UE.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            907
        ],
        "date_end": "2011-08-21",
        "date_start": "2011-02-07",
        "matrikelnr": "0825084",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/RAUCH-2011-TMS/",
        "__class": "Publication"
    },
    {
        "id": "Reichinger-2011-Tac",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Tactile Paintings",
        "date": "2011",
        "abstract": "The aim of this work is to bring the cultural heritage of two-dimensional art closer to being accessible by blind\r\nand visually impaired people. We present a computer-assisted workflow for the creation of tactile representations\r\nof paintings, suitable to be used as a learning tool in the context of guided tours in museums or galleries. Starting\r\nfrom high-resolution images of original paintings, our process allows an artist to quickly design the desired form,\r\nand generate data suitable for rapid prototyping machines to produce the physical touch tools. Laser-cut layered\r\ndepth diagrams, convey not only the individual objects in the painting and their spatial layout, but also augment\r\ntheir depth relations. CNC-milled textured reliefs additionally render fine details like brush strokes and texture\r\nsuitable for the sense of touch. Our methods mimic aspects of the visual sense, make sure that the haptic output is\r\nquite faithful to the original paintings and do not require special manual abilities, like sculpting skills.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Reichinger-2011-Tac-.pdf",
            "type": "application/pdf",
            "size": 2330074,
            "path": "Publication:Reichinger-2011-Tac",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            879,
            228,
            190
        ],
        "booktitle": "Eurographics 2011 - Areas Papers",
        "date_from": "2011-04-11",
        "date_to": "2011-04-15",
        "editor": "A. Day and R. Mantiuk and E. Reinhard and R. Scopigno",
        "lecturer": [
            879
        ],
        "location": "Llandudno, UK",
        "organization": "Eurographics",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reichinger-2011-Tac-.pdf",
                "type": "application/pdf",
                "size": 2330074,
                "path": "Publication:Reichinger-2011-Tac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/Reichinger-2011-Tac-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Reichinger-2011-Tac/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2011c",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey on Temporal Coherence Methods in Real-Time Rendering",
        "date": "2011",
        "abstract": "Nowadays, there is a strong trend towards rendering to higher-resolution displays and at high frame rates. This development aims at delivering more detail and better accuracy, but it also comes at a significant cost.\nAlthough graphics cards continue to evolve with an ever-increasing amount of computational power, the processing gain is counteracted to a high degree by increasingly complex and sophisticated pixel computations. For real-time applications, the direct consequence is that image resolution and temporal resolution are often the first candidates to bow to the performance constraints (e.g., although full HD is possible, PS3 and XBox often render at lower resolutions).\n\nIn order to achieve high-quality rendering at a lower cost, one can exploit emph{temporal coherence} (TC). The underlying observation is that a higher resolution and frame rate do not necessarily imply a much higher workload, but a larger amount of redundancy and a higher potential for amortizing rendering over several frames. In this STAR, we will investigate methods that make use of this principle and provide practical and theoretical advice on how to exploit temporal coherence for performance optimization. These methods not only allow us to incorporate more computationally intensive shading effects into many existing applications, but also offer exciting opportunities for extending high-end graphics applications to lower-spec consumer-level hardware.\n\nTo this end, we first introduce the notion and main concepts of TC, including an overview of historical methods. We then describe a key data structure, the so-called emph{reprojection cache}, with several supporting algorithms that facilitate reusing shading information from previous frames. Its usefulness is illustrated in the second part of the STAR, where we present various applications. We illustrate how expensive pixel shaders, multi-pass shading effects, stereo rendering, shader antialiasing, shadow casting, and global-illumination effects can profit from pixel reuse. Furthermore, we will see that optimizations for visibility culling and object-space global illumination can also be achieved by exploiting TC.\n\nThis STAR enables the reader to gain an overview of many techniques in this cutting-edge field and provides many insights into algorithmic choices and implementation issues. It delivers working knowledge of how various existing techniques are optimized via data reuse. Another goal of this STAR is to inspire the reader and to raise awareness for temporal coherence as an elegant tool that could be a crucial component to satisfy the recent need for higher resolution and more detailed content.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "scherzer2011c-.png",
            "type": "image/png",
            "size": 883179,
            "path": "Publication:scherzer2011c",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            868,
            326,
            899,
            900,
            193,
            823
        ],
        "booktitle": "EUROGRAPHICS 2011 State of the Art Reports",
        "location": "Llandudno UK",
        "pages_from": "101",
        "pages_to": "126",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "scherzer2011c-.png",
                "type": "image/png",
                "size": 883179,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 821,
                "name": "scherzer2011c-2.png",
                "type": "image/png",
                "size": 23874,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 707,
                "image_height": 530,
                "name": "scherzer2011c-3.png",
                "type": "image/png",
                "size": 337791,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-3:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 707,
                "image_height": 530,
                "name": "scherzer2011c-4.png",
                "type": "image/png",
                "size": 290541,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-4.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-4:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer2011c-pdf.pdf",
                "type": "application/pdf",
                "size": 18828677,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-pdf:thumb{{size}}.png"
            },
            {
                "description": "eg-slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer2011c-slides.rar",
                "type": "application/x-rar",
                "size": 94435406,
                "path": "Publication:scherzer2011c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/scherzer2011c-slides.rar",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/scherzer2011c/",
        "__class": "Publication"
    },
    {
        "id": "schleicher-2011-VLSC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Lesson Scheduling Calender",
        "date": "2011",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            982
        ],
        "supervisor": [
            597
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/schleicher-2011-VLSC/",
        "__class": "Publication"
    },
    {
        "id": "sikachev_peter-2011-incshad",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Inconsistent Shadows for Volume Rendering",
        "date": "2011",
        "abstract": "In volume rendering shadows provide an important visual cue, and enhance depth perception.   \n   However, shadowing has its own disadvantages. \n   Shadows do not take into account the importance of features and could potentially result in too dark scenes.\n   \n   In this paper we propose an approach for inconsistent shadowing, which is designed to overcome these limitations.\n   For the purpose of illustrative rendering, we propose two complementary techniques: 1. shadow caster inconsistency and 2. shadow receiver inconsistency.\n   We demonstrate several advantages of the different approaches, using inconsistent shadowing.\n   We present two approaches, based on shadow transfer function concept, an approach, introducing usage of gradient magnitude information in shadowing, and\n   a method for adaptive shading and shadowing of the surface, depending on the gradient certainty.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864,
            488,
            161,
            166
        ],
        "number": "TR-186-2-11-01",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Technical Report",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "sikachev_peter-2011-incshad-paper.pdf",
                "type": "application/pdf",
                "size": 5767929,
                "path": "Publication:sikachev_peter-2011-incshad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-paper:thumb{{size}}.png"
            },
            {
                "description": "1D Shadow Transfer Function Demonstration",
                "filetitle": "video1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "sikachev_peter-2011-incshad-video1.wmv",
                "type": "text/plain",
                "size": 2063644,
                "path": "Publication:sikachev_peter-2011-incshad",
                "preview_name": "sikachev_peter-2011-incshad-video1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21422,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-video1.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-video1:thumb{{size}}.png"
            },
            {
                "description": "Contour-preserving Shadow Rendering Demonstration",
                "filetitle": "video2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1132,
                "preview_image_height": 852,
                "name": "sikachev_peter-2011-incshad-video2.wmv",
                "type": "text/plain",
                "size": 1547934,
                "path": "Publication:sikachev_peter-2011-incshad",
                "preview_name": "sikachev_peter-2011-incshad-video2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 31106,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-video2.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/sikachev_peter-2011-incshad-video2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-incshad/",
        "__class": "Publication"
    },
    {
        "id": "sikachev_peter-2011-metavis",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Algorithm Exploration using Meta Visualization",
        "date": "2011",
        "abstract": "In volume rendering shadows provide an important visual\ncue, and enhance depth perception. However, shadowing\nhas its own disadvantages. Shadows do not take\ninto account the importance of features and could potentially\nresult in too dark scenes.\nIn this paper we propose an approach for inconsistent\nshadowing, which is designed to overcome these limitations.\nFor the purpose of illustrative rendering, we\npropose two complementary techniques: 1. shadow\ncaster inconsistency and 2. shadow receiver inconsistency.\nWe demonstrate several advantages of the different\napproaches, using inconsistent shadowing. We\npresent two approaches, based on shadow transfer function\nconcept, an approach, introducing usage of gradient\nmagnitude information in shadowing, and a method for\nadaptive shading and shadowing of the surface, depending\non the gradient certainty.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864,
            817,
            221,
            869
        ],
        "number": "TR-186-2-11-02",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "sikachev_peter-2011-metavis-paper.pdf",
                "type": "application/pdf",
                "size": 2602792,
                "path": "Publication:sikachev_peter-2011-metavis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/sikachev_peter-2011-metavis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/sikachev_peter-2011-metavis-paper:thumb{{size}}.png"
            },
            {
                "description": "Framework Demonstration",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "sikachev_peter-2011-metavis-video.MOV",
                "type": "video/quicktime",
                "size": 29637983,
                "path": "Publication:sikachev_peter-2011-metavis",
                "preview_name": "sikachev_peter-2011-metavis-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21890,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/sikachev_peter-2011-metavis-video.MOV",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/sikachev_peter-2011-metavis-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/sikachev_peter-2011-metavis-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-metavis/",
        "__class": "Publication"
    },
    {
        "id": "sollboeck-2011",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "jukebomb.me",
        "date": "2011",
        "abstract": "What is it?\nJukebomb.me is meant to be used at private parties to collaboratively watch youtube videos. \nGo to http://www.jukebomb.me to see it in action.\nYou can queue new youtube videos, or use the shake function on your phone to make the running video go away! You can also send messages to the page, that everybody can read your thoughts about the videos. \n\nWhat is the meaning of \"Juke Bomb\"?\nAccording to urbandictionary.com: An act of social terrorism that culminates in the art of singing a song with the full intention of infecting listeners brains for the remainder of the day with a melody that won’t go away short of lobotomizing surgery. \n\nWhat's behind the scenes?\nThe smartphones connect to the webpage using the XMPP-protocol. We used the smack library on the Android side and the strophe library for the web page. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1048,
            "image_height": 634,
            "name": "sollboeck-2011-.PNG",
            "type": "image/png",
            "size": 696476,
            "path": "Publication:sollboeck-2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sollboeck-2011/sollboeck-2011-.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sollboeck-2011/sollboeck-2011-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            931
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [
            "Android",
            "XMPP"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1048,
                "image_height": 634,
                "name": "sollboeck-2011-.PNG",
                "type": "image/png",
                "size": 696476,
                "path": "Publication:sollboeck-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sollboeck-2011/sollboeck-2011-.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/sollboeck-2011/sollboeck-2011-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/sollboeck-2011/",
        "__class": "Publication"
    },
    {
        "id": "spitaler-afr-2011",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Facade Rendering",
        "date": "2011",
        "abstract": "Advanced Facade Rendering aims at high-quality rendering of facade-geometry generated by interactive subdivision of a simple facade picture.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1053,
            "name": "spitaler-afr-2011-image.jpg",
            "type": "image/jpeg",
            "size": 250735,
            "path": "Publication:spitaler-afr-2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            886
        ],
        "date_end": "2011-02-21",
        "date_start": "2010-09-01",
        "matrikelnr": "0226436",
        "supervisor": [
            844
        ],
        "research_areas": [],
        "keywords": [
            "facade rendering",
            "urban rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1053,
                "name": "spitaler-afr-2011-image.jpg",
                "type": "image/jpeg",
                "size": 250735,
                "path": "Publication:spitaler-afr-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spitaler-afr-2011-report.pdf",
                "type": "application/pdf",
                "size": 1139220,
                "path": "Publication:spitaler-afr-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/spitaler-afr-2011-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/spitaler-afr-2011/",
        "__class": "Publication"
    },
    {
        "id": "stehno-2011-RVD",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rapid Visualization Development based on Visual Programming",
        "date": "2011",
        "abstract": "Over the years, many visualization tools and applications were developed for specific fields of\r\nscience or business. Staying in the alcove of their field, these are highly suited and optimized\r\nfor visualizing specific data, with the drawback of not being flexible enough to extend or alter\r\nthese visualizations for other purposes.\r\n\r\n\r\nOften, customers of such visualization packages cannot extend them, to fit their needs,\r\nespecially if the software is closed source. But even using open source software does not solve\r\nthis problem efficiently, since to extend the software, costumers need to have programming skills\r\nand are often forced to reimplement algorithms or visualizations which already exist, making\r\nrapid development impossible.\r\n\r\n\r\nThe goal of this thesis is to develop a dataflow visual programming language (DFVPL)\r\nand a visual editor for the rapid development of visualizations. With this programming\r\nlanguage, called OpenInsightExplorer, users can develop visualizations by connecting graphical\r\nrepresentations of modules rather than writing source code. Each module represents a part of\r\na visualization program. Modules are designed to function as an independent black box and\r\nthey start to operate as soon as data is sent to them. This black box design and execution model\r\nallows to reuse modules more frequently and simplifies their development.\r\n\r\n\r\nThis programming language and its editor run platform independently to reach a high\r\nnumber of potential programmers, respectively users, to develop visualizations, since they are\r\nnot bound to a specific platform. It is extendable, by means of self developed modules and data\r\ntypes to extend the language. Programming and editing a visualization is easy and fast, even\r\nfor people with only little programming experience. The production cycle of the development\r\nof visualizations is reduced to a minimum. This is achieved by reusing and combining existing\r\nmodules.\r\n\r\n\r\nThe usability of the programming language was evaluated by implementing two example\r\nvisualizations with it. Each example originates from different areas of visualization, therefore\r\ndemanding different data types, data transformation tasks and rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot of the application",
            "filetitle": "OpenInsightExplorer",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 370,
            "name": "stehno-2011-RVD-OpenInsightExplorer.jpg",
            "type": "image/jpeg",
            "size": 137879,
            "path": "Publication:stehno-2011-RVD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            959
        ],
        "supervisor": [
            597
        ],
        "research_areas": [],
        "keywords": [
            "Rapid Development",
            "Dataflow Programming",
            "Visual Programming",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Screenshot of the application",
                "filetitle": "OpenInsightExplorer",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 370,
                "name": "stehno-2011-RVD-OpenInsightExplorer.jpg",
                "type": "image/jpeg",
                "size": 137879,
                "path": "Publication:stehno-2011-RVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer:thumb{{size}}.png"
            },
            {
                "description": "Source code and binaries of the application",
                "filetitle": "OpenInsightExplorer",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "stehno-2011-RVD-OpenInsightExplorer.zip",
                "type": "application/zip",
                "size": 15402697,
                "path": "Publication:stehno-2011-RVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer.zip",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-OpenInsightExplorer:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "stehno-2011-RVD-Poster.pdf",
                "type": "application/pdf",
                "size": 1840521,
                "path": "Publication:stehno-2011-RVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "stehno-2011-RVD-Presentation.pdf",
                "type": "application/pdf",
                "size": 1390575,
                "path": "Publication:stehno-2011-RVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Presentation:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "stehno-2011-RVD-Thesis.pdf",
                "type": "application/pdf",
                "size": 3136609,
                "path": "Publication:stehno-2011-RVD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/stehno-2011-RVD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/stehno-2011-RVD/",
        "__class": "Publication"
    },
    {
        "id": "StickmanMax-shoetta-kampfer",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "StickmanMax",
        "date": "2011",
        "abstract": "Stickman M-A-X is an iPhone application. iPhone gaming applications are very common and enjoy a great popularity factor. Flexibility and ease of use are decisive factors impacting the success of these kind of applications on the iPhone.\r\n\r\nBut we noticed, during our basic concept and evaluation phase that most applications are limited to a given game content. The experience factor and content in general cannot be extended.\r\nThis is our moment, this is our motivation, this is where the Stickman M-A-X application becomes different and provides the user with the proper means. \r\n\r\nThe user should be given the opportunity to play a predefined and well balanced game level, but should also be able to create its own content, its own challanges with easy and accessible means.\r\n\r\nStickman M-A-X is intended as a simple but more of a more motivating game concept which encourage to play and create.\r\n\r\n\r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/MSchoettaAKampfer/StickmanMax/Concept.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 373,
            "image_height": 248,
            "name": "StickmanMax-shoetta-kampfer-.jpg",
            "type": "image/jpeg",
            "size": 42433,
            "path": "Publication:StickmanMax-shoetta-kampfer",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/StickmanMax-shoetta-kampfer/StickmanMax-shoetta-kampfer-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/StickmanMax-shoetta-kampfer/StickmanMax-shoetta-kampfer-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            929,
            930
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [
            "iOS",
            "Game Development",
            "OpenGL ES"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 373,
                "image_height": 248,
                "name": "StickmanMax-shoetta-kampfer-.jpg",
                "type": "image/jpeg",
                "size": 42433,
                "path": "Publication:StickmanMax-shoetta-kampfer",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/StickmanMax-shoetta-kampfer/StickmanMax-shoetta-kampfer-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/StickmanMax-shoetta-kampfer/StickmanMax-shoetta-kampfer-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/StickmanMax-shoetta-kampfer/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_CVC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comprehensive Visualization\u000bof Cardiac MRI Data",
        "date": "2011",
        "abstract": "Coronary artery disease is one of the leading causes of death in the western world. The continuous improvements in magnetic resonance imaging (MRI) technology facilitate more accurate diagnoses by providing increasingly more detailed information on the viability, functioning, perfusion, and anatomy of a patient’s heart. The talk covers several techniques that realize multi-modal visualizations of a patient’s heart to assist in the diagnosis of coronary artery disease . A volumetric bull’s eye offers a more comprehensive view on the viability of a patient’s heart by providing detailed information on the transmurality of scar while not suffering from discontinuities. Anatomical context is often lost due to abstract representations of data, or may be scarce due to the nature of the scanning protocol. Several techniques to restore the relation to anatomy are presented. The primary coronary arteries are segmented in a whole heart scan and mapped onto a volumetric bull’s eye plot, adding anatomical context to an abstract representation. Similarly, segmented late enhancement data are rendered along with a three-dimensional segmentation of the patient-specific myocardial and coronary anatomy. Additionally, coronary supply territories are computed from patient-specific data as an improvement over models based on population averages. Information on the perfusion of the myocardium provided by MRI is typically of fairly low resolution. Using high-resolution anatomical data, an approach to visualize simulated myocardial perfusion is presented, taking full advantage of the detailed information on perfusion. Finally, a truly comprehensive visualization of a cardiac MRI exam is explored by combining whole heart, late enhancement, functional, and perfusion scans in a single visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-08-28",
        "date_to": "2011-09-02",
        "event": "Workshop Geometry for Anatomy, Banff International Research Station for Mathematical Innovation and Discovery (BIRS)",
        "location": "Banff, Canada",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_CVC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_HSU",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Haunted Swamps of Uniformity",
        "date": "2011",
        "abstract": "Dissemination of scientific results in visualization (like in many other disciplines) through papers and talks follow rather standardized styles and procedures. Given that publishing strategies were very different not so much time ago in the past, and given new technological developments like electronic publishing, ideas of possible future developments are discussed. Topics treated include: increased repeatability through augmenting papers with executables, providing more extensive sensitivity and robustness analyses, paper presentation as drama, poem, comics strip.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-06-05",
        "date_to": "2011-06-10",
        "event": "Seminar 11231, Scientific Visualization, Dagstuhl",
        "location": "Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_HSU/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_VCD",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Complex Data: Going from Linked to Integrated Views ",
        "date": "2011",
        "abstract": "Data Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity has increased tremendously. This is for example due to an increase in data size and dimensionality. New imaging modalities generate quite heterogeneous, multi-valued, multi-modal, and time-varying data. Separate views and linked views are approaches to cope with complexity, but are limited, e.g., concerning scalability. This talk will concentrate especially on integrated views as inspired by traditional illustrations.  Integration can be coarse or sparse in space and time. It may even involve different spaces with varying dimensionality and characteristics. The talk will discuss several research examples which go beyond data and image fusion. More details will be given about a specific display of 3D volume data integrated into a 2D graph view.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-02-22",
        "event": "Visualisierungsinstitut der Universität Stuttgart (VISUS)",
        "location": "University of Stuttgart, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_VCD/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_VSD",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Steering to Support Decision Making in Visdom",
        "date": "2011",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-11-02",
        "date_to": "2011-11-02",
        "event": "Visual Computing Forum, University of Bergen",
        "location": "Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis",
            "vis",
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_VSD/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2011_VSS",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Steering to Support \u000bDecision Making in Visdom",
        "date": "2011",
        "abstract": "Computer simulation has become an ubiquitous tool to investigate the nature of systems. When steering a simulation, users modify parameters to study their impact on the simulation outcome. The ability to test alternative options provides the basis for interactive decision making. Increasingly complex simulations are characterized by an intricate interplay of many heterogeneous input and output parameters. A steering concept that combines simulation and visualization within a single, comprehensive system is largely missing. This talk targets the basic components of a novel integrated steering system called Visdom to support the user in the decision making process. The proposed techniques enable users to examine alternative scenarios without the need for special simulation expertise. To accomplish this, we propose World Lines as a management strategy for multiple, related simulation runs. In a dedicated view, users create and navigate through many simulation runs. New decisions are included through the concept of branching. To account for uncertain knowledge about the input parameters, we provide the ability to cover full parameter distributions. Via multiple cursors, users navigate a system of multiple linked views through time and alternative scenarios. In this way, the system supports comparative visual analysis of many simulation runs. Since the steering process generates a huge amount of information, we employ the machine to support the user in the search for explanations inside the computed data. Visdom is built on top of a data-flow network to provide a high level of modularity. A decoupled meta-flow is in charge of transmitting parameter changes from World Lines to the affected dataflow nodes. To direct the user attention to the most relevant parts, we provide dynamic visualization inside the flow diagram. The usefulness of the presented approach is substantiated through case studies in the field of flood management. The Visdom application enables the design of a breach closure by dropping sandbags in a virtual environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-12-02",
        "event": "Visual Computing Forum",
        "location": "Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_VSS/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2011-HSH",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Haunted Swamps of Heuristics",
        "date": "2011",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Groeller-2011-HSH-.pptx",
            "type": "application/zip",
            "size": 14486911,
            "path": "Publication:Groeller-2011-HSH",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller-2011-HSH/Groeller-2011-HSH-.pptx",
            "thumb_image_sizes": []
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2011-05-31",
        "date_to": "2011-06-03",
        "event": "EuroVis 2011",
        "location": "Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-2011-HSH-.pptx",
                "type": "application/zip",
                "size": 14486911,
                "path": "Publication:Groeller-2011-HSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller-2011-HSH/Groeller-2011-HSH-.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller-2011-HSH/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2011-phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information-based Feature Enhancement in Scientific Visualization",
        "date": "2011",
        "abstract": "Scientific visualization is a research area which gives insight into volumetric data acquired through measurement or simulation. The visualization allows a faster and more intuitive exploration of the data.\r\n\r\nDue to the rapid development in hardware for the measurement and simulation of scientific data, the size and complexity of data is constantly increasing. This has the benefit that it is possible to get a more accurate insight into the measured or simulated phenomena. A drawback of the increasing data size and complexity is the problem of generating an expressive representation of the data.\r\n\r\nSince only certain parts of the data are necessary to make a decision, it is possible to mask parts of the data along the visualization pipeline to enhance only those parts which are important in the visualization. For the masking various properties are extracted from the data which are used to classify a part as important or not. In general a transfer function is used for this classification process which has to be designed by the user.\r\n\r\nIn this thesis three novel approaches are presented which use methods from information theory and statistics to enhance features from the data in the classification process that are important for a certain task. With the tools of information theory and statistics it is possible to extract properties from the data which are able to classify different materials or tissues in the data better than comparable other approaches.\r\n\r\nOne approach adaptively extracts statistical properties, i.e. the mean value and the standard deviation, of the data values in the local neighborhood of each point in the data set. With these statistical properties it is possible to better distinguish between different materials in a data set even though the data is very noisy.\r\n\r\nThe other two approaches in this thesis employ methods from information theory to extract features from multimodal data sets. Thus it is possible to enhance features of the data which are either very similar or very dissimilar in both modalities. Through information theory the variations in the value ranges of both modalities do not influence the classification of these features.\r\n\r\nAll three approaches define novel transfer-function spaces which simplify the design process of a transfer function for the user. Different features of the data, such as different materials, can be clearly depicted in these spaces. Therefore, it is easier for a user to design a transfer function which enhances the features of importance for a certain task.\r\n\r\nFor each of the new approaches results and comparisons to other existing techniques are shown to highlight the usefulness of the proposed methods. Through the described research it is shown that information theory and statistics are tools which are able to extract expressive properties from the data.\r\n\r\nIn the introduction a broad overview over scientific visualization and the visualization pipeline is given. The classification process is described in more detail. Since information theory and statistics play an important role for all three approaches, a brief introduction to these concepts is given as well.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2486,
            "image_height": 2530,
            "name": "haidacher-2011-phd-Image.png",
            "type": "image/png",
            "size": 3039441,
            "path": "Publication:haidacher-2011-phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597
        ],
        "date_end": "2011-06",
        "date_start": "2007-10",
        "reviewer_1": [
            166
        ],
        "reviewer_2": [
            951
        ],
        "rigorosum": "2011-06-17",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Scientific visualization",
            "Information theory",
            "Volume classification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2486,
                "image_height": 2530,
                "name": "haidacher-2011-phd-Image.png",
                "type": "image/png",
                "size": 3039441,
                "path": "Publication:haidacher-2011-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "PhD Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2011-phd-PhD Thesis.pdf",
                "type": "application/pdf",
                "size": 16173886,
                "path": "Publication:haidacher-2011-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-PhD Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/haidacher-2011-phd-PhD Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/haidacher-2011-phd/",
        "__class": "Publication"
    },
    {
        "id": "hanzl-2011",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spontaneous Social Networks",
        "date": "2011",
        "abstract": "Social networks are a well researched field. There is extensive literature covering this topic.\r\nThey are nowadays used for a wide variety of applications such as business, education, medicine\r\nand dating. These applications contribute to the high popularity of social networks. The underlying\r\nconcept of all social networking applications is a graph, that consists of nodes representing people\r\nand edges representing social relations. This social graph is commonly very rigid in semantics and\r\ntedious to manipulate. Two users can add an edge only by mutually accepting the relation. Typically\r\nthis graph manipulation needs manual intervention.\r\nIn contrast, Spontaneous Social Networks (SSNs) rely on much more flexible graphs that are manipulated\r\nwith minimal manual intervention. Edges are automatically generated and deleted in real time\r\nby hardware devices such as smartphones and desktop PCs. Applications operate on top of SSNs.\r\nThe application defines the purpose and properties of the SSN and provides the users an interface to\r\na SSN.\r\nThe goal of this diploma thesis is the design of a standard and an implementation of a Spontaneous\r\nSocial Networking (SSN) framework. The capabilities of the framework are demonstrated by a\r\nnumber of example applications. The Extensible Messaging and Presence Protocol (XMPP) and\r\nthe Publish-Subscribe (PubSub) paradigm are used for communication in SSNs. The properties and\r\ndiscovery approaches of SSNs are defined. The implementation is evaluated in terms of usability\r\nwith the help of the System Usability Scale (SUS). Furthermore, the suitability of XMPP and the\r\nscalability and privacy of SSNs and the reference implementation are discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 489,
            "image_height": 530,
            "name": "hanzl-2011-image.PNG",
            "type": "image/png",
            "size": 61129,
            "path": "Publication:hanzl-2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            837
        ],
        "supervisor": [
            166,
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 489,
                "image_height": 530,
                "name": "hanzl-2011-image.PNG",
                "type": "image/png",
                "size": 61129,
                "path": "Publication:hanzl-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hanzl-2011-presentation.pptx",
                "type": "application/zip",
                "size": 1792616,
                "path": "Publication:hanzl-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hanzl-2011-Thesis.pdf",
                "type": "application/pdf",
                "size": 6484994,
                "path": "Publication:hanzl-2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/hanzl-2011-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hanzl-2011/",
        "__class": "Publication"
    },
    {
        "id": "Hebart-2011-ColorAdjustment",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Adjustment of Colored Range Images",
        "date": "2011",
        "abstract": "This thesis shows an approach to remove discontinuities in the color appearance from range images. To produce a point cloud of an object it is necessary to scan it with an 3D Scanner from several positions that the whole object is covered in the point cloud. After the scanning the different scans have to be merged which causes the problems in the color appearance. These discontinuities come e.g. from different light situations and the distance between scanned point and scanner.\r\n\r\nThis thesis shows an possible solution for this problem. The solution covers an image processing part, here are just the pictures which are made during the scanning process revised. The second part is about the processing of the already colored point cloud and re-color points according to different factors like the distance from the scanner, occlusion and so on.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Trilateral Filtering",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 477,
            "name": "Hebart-2011-ColorAdjustment-image.jpg",
            "type": "image/jpeg",
            "size": 123422,
            "path": "Publication:Hebart-2011-ColorAdjustment",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            760
        ],
        "date_start": "2008-03-10",
        "matrikelnr": "0626511",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [],
        "keywords": [
            "Image filtering",
            "Point-based rendering",
            "Color correction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Trilateral Filtering",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 477,
                "name": "Hebart-2011-ColorAdjustment-image.jpg",
                "type": "image/jpeg",
                "size": 123422,
                "path": "Publication:Hebart-2011-ColorAdjustment",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hebart-2011-ColorAdjustment-poster.pdf",
                "type": "application/pdf",
                "size": 18951308,
                "path": "Publication:Hebart-2011-ColorAdjustment",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hebart-2011-ColorAdjustment-thesis.pdf",
                "type": "application/pdf",
                "size": 11431691,
                "path": "Publication:Hebart-2011-ColorAdjustment",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/Hebart-2011-ColorAdjustment-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Hebart-2011-ColorAdjustment/",
        "__class": "Publication"
    },
    {
        "id": "hochmayr_manuel-2011-VoRMD",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Rendering on Mobile Devices",
        "date": "2011",
        "abstract": "Nowadays volume rendering is a very important topic. There are many programs for PC that render volumes very fast and display all kind of information the user is interested in. However portable devices have also become very popular these days, but there are almost no real-time volume render programs for them. Due to hardware improvements in the mobile sector, e-mail, browsing and games have gone portable- so now real time volume rendering.\r\n\r\nVoRMD is a project about volume rendering on a mobile device. It was planed to do a comparison between OpenGL ES 2.0 and WebGL and their performances on doing a volume rendering on a mobile device. Because of the lack of support of WebGL on mobile web browsers, the WebGL part was dropped. The new goal was implementing a volume-rendering framework in OpenGL ES 2.0 with GLSL for an Andorid 2.3 device. The program supports Android 2.3 devices having a GPU chip with 3D texture extension. It is possible to load volumes in “.dat” format and transfer function images in “.png “format. It uses 4 different kinds of shader, MIP, averaging, composition and XYZ slicing, for calculating and displaying a volume file. All that is done in real time on the device. The user can use touch input to rotate and scale the volume. Furthermore the program adapts the sampling rate according to the frame rate, to allow better interaction when transforming the volume.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Icon",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 566,
            "image_height": 457,
            "name": "hochmayr_manuel-2011-VoRMD-Icon.jpg",
            "type": "image/jpeg",
            "size": 37094,
            "path": "Publication:hochmayr_manuel-2011-VoRMD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Icon.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Icon:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            815
        ],
        "supervisor": [
            597
        ],
        "research_areas": [],
        "keywords": [
            "OpenGL ES",
            "Android",
            "Volume rendering",
            "Mobile devices"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Android Application",
                "filetitle": "Application",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hochmayr_manuel-2011-VoRMD-Application.apk",
                "type": "application/zip",
                "size": 689487,
                "path": "Publication:hochmayr_manuel-2011-VoRMD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Application.apk",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Icon",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 566,
                "image_height": 457,
                "name": "hochmayr_manuel-2011-VoRMD-Icon.jpg",
                "type": "image/jpeg",
                "size": 37094,
                "path": "Publication:hochmayr_manuel-2011-VoRMD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Icon.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Icon:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hochmayr_manuel-2011-VoRMD-Presentation.pdf",
                "type": "application/pdf",
                "size": 8560660,
                "path": "Publication:hochmayr_manuel-2011-VoRMD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Presentation:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hochmayr_manuel-2011-VoRMD-Report.pdf",
                "type": "application/pdf",
                "size": 972434,
                "path": "Publication:hochmayr_manuel-2011-VoRMD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Report:thumb{{size}}.png"
            },
            {
                "description": "Source code for Eclipse",
                "filetitle": "Source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hochmayr_manuel-2011-VoRMD-Source.zip",
                "type": "application/zip",
                "size": 10109164,
                "path": "Publication:hochmayr_manuel-2011-VoRMD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/hochmayr_manuel-2011-VoRMD-Source.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/hochmayr_manuel-2011-VoRMD/",
        "__class": "Publication"
    },
    {
        "id": "Ishmukhametov_Denis_2011_EIN",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Irradiance Normal Mapping",
        "date": "2011",
        "abstract": "Cinematic image quality has always been one of the most important challenges of computer graphics. One of the key components, that realistic CG is comprised of, is illumination. In real-time graphics resources are limited, hence we cannot a\u001bord dynamic realistic\r\nphyscially accurate lighting. However, we can precalculate high-quality static lighting - light mapping method. But we cannot use normal mapping with light mapping directly, because in light mapping, lighting is precalculated for one default normal direction whereas in normal mapping normals are de\u001cned in a hemispherical domain. Irradiance normal mapping methods overcomes such problems by using spherical or hemispherical basis functions to encode the irradiance signal.\r\nOur task is to compare the existing approaches to irradiance normal mapping visually and analytically by implementing the irradiance normal mapping pipeline with the demo application that demonstrates di\u001berent lighting methods and allows to switch between them in run-time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Image",
            "filetitle": "Image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1360,
            "image_height": 768,
            "name": "Ishmukhametov_Denis_2011_EIN-Image.jpg",
            "type": "image/jpeg",
            "size": 615098,
            "path": "Publication:Ishmukhametov_Denis_2011_EIN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            927
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Real-time Rendering",
            "Global Illumination",
            "Irradiance Normal Mapping",
            "Radiosity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Image",
                "filetitle": "Image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1360,
                "image_height": 768,
                "name": "Ishmukhametov_Denis_2011_EIN-Image.jpg",
                "type": "image/jpeg",
                "size": 615098,
                "path": "Publication:Ishmukhametov_Denis_2011_EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Image:thumb{{size}}.png"
            },
            {
                "description": "Source Code and binary",
                "filetitle": "Implementation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ishmukhametov_Denis_2011_EIN-Implementation.zip",
                "type": "application/zip",
                "size": 169462860,
                "path": "Publication:Ishmukhametov_Denis_2011_EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Implementation.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Efficient Irradiance Normal Mapping",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ishmukhametov_Denis_2011_EIN-Paper.pdf",
                "type": "application/pdf",
                "size": 22893197,
                "path": "Publication:Ishmukhametov_Denis_2011_EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/Ishmukhametov_Denis_2011_EIN-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Ishmukhametov_Denis_2011_EIN/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-2011-esttalk",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Estimating Color and Texture Parameters for Vector Graphics",
        "date": "2011",
        "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions as well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We start by defining a geometric heuristic for the maximum density of color control points along the image curves. Following this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "descriptive image",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1609,
            "image_height": 651,
            "name": "jeschke-2011-esttalk-image.jpg",
            "type": "image/jpeg",
            "size": 410716,
            "path": "Publication:jeschke-2011-esttalk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "date_from": "2011-04-20",
        "date_to": "2011-02-25",
        "event": "Kolloquium of the Institute for Computer Graphics at University of Rostock",
        "location": "Rostock, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "descriptive image",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1609,
                "image_height": 651,
                "name": "jeschke-2011-esttalk-image.jpg",
                "type": "image/jpeg",
                "size": 410716,
                "path": "Publication:jeschke-2011-esttalk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-image:thumb{{size}}.png"
            },
            {
                "description": "power point slides for this talk",
                "filetitle": "ppt",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-2011-esttalk-ppt.ppt",
                "type": "",
                "size": 23329792,
                "path": "Publication:jeschke-2011-esttalk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/jeschke-2011-esttalk-ppt.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-esttalk/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-2011-talkPrague",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Estimating Color and Texture Parameters for Vector Graphics",
        "date": "2011",
        "abstract": "Diffusion curves are a powerful vector graphic representation that stores an image as a set of 2D Bezier curves with colors defined on either side. These colors are diffused over the image plane, resulting in smooth color regions as well as sharp boundaries. In this paper, we introduce a new automatic diffusion curve coloring algorithm. We\r\nstart by defining a geometric heuristic for the maximum density of color control points along the image curves.\r\nFollowing this, we present a new algorithm to set the colors of these points so that the resulting diffused image is as close as possible to a source image in a least squares sense. We compare our coloring solution to the existing one which fails for textured regions, small features, and inaccurately placed curves. The second contribution of the paper is to extend the diffusion curve representation to include texture details based on Gabor noise. Like the curves themselves, the defined texture is resolution independent, and represented compactly. We define methods to automatically make an initial guess for the noise texure, and we provide intuitive manual controls to edit the parameters of the Gabor noise. Finally, we show that the diffusion curve representation itself extends to storing any number of attributes in an image, and we demonstrate this functionality with image stippling an hatching applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1609,
            "image_height": 651,
            "name": "jeschke-2011-talkPrague-.jpg",
            "type": "image/jpeg",
            "size": 410716,
            "path": "Publication:jeschke-2011-talkPrague",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "date_from": "2011-06-30",
        "date_to": "2011-06-30",
        "event": "Academy of Sciences of the Czech Republic in Prague",
        "location": "Prague (Czech Republic)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1609,
                "image_height": 651,
                "name": "jeschke-2011-talkPrague-.jpg",
                "type": "image/jpeg",
                "size": 410716,
                "path": "Publication:jeschke-2011-talkPrague",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/jeschke-2011-talkPrague-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-talkPrague/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-2011-xMasCard",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card 2011",
        "date": "2011",
        "abstract": "Happy 2012!",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1807,
            "image_height": 1310,
            "name": "jeschke-2011-xMasCard-image.png",
            "type": "image/png",
            "size": 1269411,
            "path": "Publication:jeschke-2011-xMasCard",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1807,
                "image_height": 1310,
                "name": "jeschke-2011-xMasCard-image.png",
                "type": "image/png",
                "size": 1269411,
                "path": "Publication:jeschke-2011-xMasCard",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "XMas Card 2011",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-2011-xMasCard-XMas Card 2011.pdf",
                "type": "application/pdf",
                "size": 19294741,
                "path": "Publication:jeschke-2011-xMasCard",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-XMas Card 2011.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/jeschke-2011-xMasCard-XMas Card 2011:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/jeschke-2011-xMasCard/",
        "__class": "Publication"
    },
    {
        "id": "keglevic_schulz-2011-MB",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "NoNoise: Music Library Visualization Plugin",
        "date": "2011",
        "abstract": "In order to navigate through music libraries the common practice is to browse through lists of meta data. However, for libraries with thousands of songs a visual view of the library is more practical for browsing. There are standalone applications for music library visualization which use content-based features of the songs. These applications usually lack usability and features compared to sophisticated music players. We combine the positive aspects of both areas by providing a library visualization\r\nplug-in for an existing successful music player (i.e. Banshee Media Player). Our plug-in enables the user to browse a two-dimensional point representation using different levels of abstraction to accomplish the goal of creating a playlist containing songs he or she wants to listen to.\r\n\r\nGitHub link:\r\nhttp://github.com/h0rm/No.Noise\r\n\r\nProject blog:\r\nhttp://bansheenonoise.blogspot.com/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Screenshot",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1307,
            "image_height": 867,
            "name": "keglevic_schulz-2011-MB-Screenshot.jpg",
            "type": "image/jpeg",
            "size": 74283,
            "path": "Publication:keglevic_schulz-2011-MB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            918,
            919
        ],
        "matrikelnr": "0625732, 0626714",
        "supervisor": [
            597
        ],
        "research_areas": [],
        "keywords": [
            "Banshee",
            "Music visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Binaries and source code",
                "filetitle": "NoNoise 1.0",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "keglevic_schulz-2011-MB-NoNoise 1.0.zip",
                "type": "application/zip",
                "size": 1191720,
                "path": "Publication:keglevic_schulz-2011-MB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-NoNoise 1.0.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Final presentation",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "keglevic_schulz-2011-MB-Presentation.pdf",
                "type": "application/pdf",
                "size": 6964358,
                "path": "Publication:keglevic_schulz-2011-MB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Presentation:thumb{{size}}.png"
            },
            {
                "description": "Final report",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "keglevic_schulz-2011-MB-Report.pdf",
                "type": "application/pdf",
                "size": 470471,
                "path": "Publication:keglevic_schulz-2011-MB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Report:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1307,
                "image_height": 867,
                "name": "keglevic_schulz-2011-MB-Screenshot.jpg",
                "type": "image/jpeg",
                "size": 74283,
                "path": "Publication:keglevic_schulz-2011-MB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Screenshot:thumb{{size}}.png"
            },
            {
                "description": "Initial specifications document",
                "filetitle": "Specifications",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "keglevic_schulz-2011-MB-Specifications.pdf",
                "type": "application/pdf",
                "size": 65721,
                "path": "Publication:keglevic_schulz-2011-MB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Specifications.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/keglevic_schulz-2011-MB-Specifications:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/keglevic_schulz-2011-MB/",
        "__class": "Publication"
    },
    {
        "id": "labschuetz-2011-rsr",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic real-time sound rendering in virtual environments",
        "date": "2011",
        "abstract": "Spatial audio rendering plays an important role in simulating realistic\r\nvirtual environments. This report gives an overview. It contains an introduction to the physical background of sound and the psychophysical background of sound. Spatial audio in current applications such as video games is reviewed and an overview of acoustical simulations and applications with special interest in real-time application is given. Numerical and geometric methods are presented and compared.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1326,
            "image_height": 1008,
            "name": "labschuetz-2011-rsr-image.jpg",
            "type": "image/jpeg",
            "size": 142397,
            "path": "Publication:labschuetz-2011-rsr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840
        ],
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [
            "real-time audio rendering",
            "psychoacoustics",
            "virtual environments",
            "sound in computer games",
            "physics of soundpropagation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1326,
                "image_height": 1008,
                "name": "labschuetz-2011-rsr-image.jpg",
                "type": "image/jpeg",
                "size": 142397,
                "path": "Publication:labschuetz-2011-rsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "labschuetz-2011-rsr-paper.pdf",
                "type": "application/pdf",
                "size": 3792807,
                "path": "Publication:labschuetz-2011-rsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/labschuetz-2011-rsr-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/labschuetz-2011-rsr/",
        "__class": "Publication"
    },
    {
        "id": "Mantler-2011-GEAR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "GEARViewer: A State of the Art Real-Time Geospatial Visualization Framework",
        "date": "2011",
        "abstract": "Geospatial visualization is playing an increasingly important part in the planning and public discussion of\r\ninfrastructure projects. In addition to pre-rendered highly realistic imagery, interactive viewers have become\r\nan important tool for this task. Advances in rendering technology and performance have reduced the gap in\r\nvisual quality between pre-rendered imagery and real-time applications, and the additional possibilities of a\r\nlive visualization may become important tools in the decision making process.\r\nHistorically, the step from GIS data or a highly detailed architectural model to a representation that is\r\nsuitable for real-time display has been complex and required a very finely tuned workflow. On the other side,\r\nthe general public is relatively spoiled by the extremely high quality of computer games and CGI films.\r\nNaturally, a tremendous amount of work and time is typically spent to fully optimize computer games for the\r\navailable hardware. This is usually not possible for geospatial visualization tasks, but nonetheless current\r\ninteractive viewing applications must strive to achieve similar quality and performance to be successful.\r\nIn this paper, we present GEARViewer, a state of the art geospatial rendering framework developed at\r\nVRVis. Developed in close cooperation with major stakeholders in the Austrian road and railway\r\ninfrastructure, it bridges the gap between GIS applications and real-time rendering, and achieves a high\r\ndegree of realism and performance while supporting many of the tasks involved in geospatial visualizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407,
            205,
            941,
            190
        ],
        "booktitle": "Proceedings of CORP 2011",
        "date_from": "2011-05-18",
        "date_to": "2011-05-20",
        "editor": "Manfred SCHRENK, Vasily V. POPOVICH, Peter ZEILE",
        "isbn": "978-3-9503110-1-3",
        "lecturer": [
            407
        ],
        "pages_from": "345",
        "pages_to": "354",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Full paper in pdf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mantler-2011-GEAR-Full paper in pdf.pdf",
                "type": "application/pdf",
                "size": 857372,
                "path": "Publication:Mantler-2011-GEAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/Mantler-2011-GEAR-Full paper in pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/Mantler-2011-GEAR-Full paper in pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Mantler-2011-GEAR/",
        "__class": "Publication"
    },
    {
        "id": "Beer_2011_DVE",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Darstellung von Eishockeystatistiken mit parallelen Koordinatensystemen",
        "date": "2011",
        "abstract": "In diesem Projekt wurde die Software \"Parvis\", ein Programm zur Darstellung von parallelen Koordinaten, so erweitert, dass es sich gut zur Darstellung von Eishockeystatistiken eignet. Die Interaktions- und Darstellungsmöglichkeiten wurden dahingehend ausgebaut, dass man interessante Fragestellungen beantworten kann. Besonders wichtig sind die Möglichkeiten des Brushings und des Hervorhebens bestimmter Datensätze. Außerdem können die Achsen so sortiert werden, dass es möglichst wenig Überschneidungen gibt, um die Übersichtlichkeit zu erhöhen.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Vorschaubild",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1030,
            "image_height": 756,
            "name": "Beer_2011_DVE-Vorschaubild.jpg",
            "type": "image/jpeg",
            "size": 153412,
            "path": "Publication:Beer_2011_DVE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Vorschaubild.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Vorschaubild:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            946
        ],
        "matrikelnr": "0655818",
        "note": "Sehr gut (S1)",
        "supervisor": [
            166,
            179
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Beer_2011_DVE-Paper.pdf",
                "type": "application/pdf",
                "size": 1585232,
                "path": "Publication:Beer_2011_DVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Vorschaubild",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1030,
                "image_height": 756,
                "name": "Beer_2011_DVE-Vorschaubild.jpg",
                "type": "image/jpeg",
                "size": 153412,
                "path": "Publication:Beer_2011_DVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Vorschaubild.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/Beer_2011_DVE-Vorschaubild:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Beer_2011_DVE/",
        "__class": "Publication"
    },
    {
        "id": "Csuk_2011",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "CUDA-based Reconstruction and Visualization of Non-uniform Point Sets",
        "date": "2011",
        "abstract": "In this work we present a CUDA-based parallelized implementation of the reconstruction technique for 2D and 3D non-uniform point sets using a variational approach. Cubic B-splines are used as an approximation for the computationally expensive radial basis functions. As B-splines only have local support, a regularization term is added to handle larger gaps between sample points.\r\nThe main reconstruction task is the solving of a large but sparse linear system. The system's size makes the use of iterative algorithms necessary. Different solvers are implemented in order to find the best-performing approach. GPU-based algorithms require a different kind of strategy than traditional implementations. The possible degree of parallelization becomes the defining factor for the efficient realization of algorithms.\r\nThe use of B-splines also makes a multi-resolution approach possible. The system can be solved at a coarser representation and its solution acts as an initialization for the finer resolution. This further speeds up the reconstruction.\r\nA downside of using graphics cards for computation is the relative sparsity of available memory. Most GPUs are not capable of handling big datasets directly. Therefore, the non-uniform representation is split into a number of smaller blocks. Each block is then reconstructed separately and the intermediate results are joined together resulting in the final solution.\r\nThe reconstruction results in terms of speed and quality are shown and are pitted against other CPU-based implementations.\r\nA CUDA based interactive ray-tracer is used to visualize the 3 dimensional datasets and test the visual quality of the reconstruction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 802,
            "image_height": 802,
            "name": "Csuk_2011-image.png",
            "type": "image/png",
            "size": 204564,
            "path": "Publication:Csuk_2011",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            926
        ],
        "matrikelnr": "625909",
        "supervisor": [
            636
        ],
        "research_areas": [],
        "keywords": [
            "CUDA",
            "GPU",
            "Variational Reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 802,
                "image_height": 802,
                "name": "Csuk_2011-image.png",
                "type": "image/png",
                "size": 204564,
                "path": "Publication:Csuk_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csuk_2011-thesis.pdf",
                "type": "application/pdf",
                "size": 4721941,
                "path": "Publication:Csuk_2011",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/Csuk_2011-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/Csuk_2011/",
        "__class": "Publication"
    },
    {
        "id": "EISEMANN-2011-RTS",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Shadows",
        "date": "2011",
        "abstract": "Important elements of games, movies, and other computer-generated content, shadows are crucial for enhancing realism and providing important visual cues. In recent years, there have been notable improvements in visual quality and speed, making high-quality realistic real-time shadows a reachable goal.\n\nReal-Time Shadows is a comprehensive guide to the theory and practice of real-time shadow techniques. It covers a large variety of different effects, including hard, soft, volumetric, and semi-transparent shadows.\n\nThe book explains the basics as well as many advanced aspects related to the domain of shadow computation. It presents interactive solutions and practical details on shadow computation. The authors compare various algorithms for creating real-time shadows and illustrate how they are used in different situations. They explore the limitations and failure cases, advantages and disadvantages, and suitability of the algorithms in several applications. Source code, videos, tutorials, and more are available on the book’s website.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "cover",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 267,
            "image_height": 332,
            "name": "EISEMANN-2011-RTS-cover.jpg",
            "type": "image/jpeg",
            "size": 20308,
            "path": "Publication:EISEMANN-2011-RTS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2011/EISEMANN-2011-RTS/EISEMANN-2011-RTS-cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/EISEMANN-2011-RTS/EISEMANN-2011-RTS-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            823,
            825,
            824,
            193
        ],
        "isbn": "978-1568814384",
        "pages": "398",
        "publisher": "A.K. Peters",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "computer games",
            "real-time rendering",
            "shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "cover",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 267,
                "image_height": 332,
                "name": "EISEMANN-2011-RTS-cover.jpg",
                "type": "image/jpeg",
                "size": 20308,
                "path": "Publication:EISEMANN-2011-RTS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2011/EISEMANN-2011-RTS/EISEMANN-2011-RTS-cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2011/EISEMANN-2011-RTS/EISEMANN-2011-RTS-cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2011/EISEMANN-2011-RTS/",
        "__class": "Publication"
    },
    {
        "id": "Soros-AV-2010",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Visualization",
        "date": "2010-12",
        "abstract": "Contemporary visualization systems often make use of large monitors or projection\r\nscreens to display complex information. Even very sophisticated visualization systems,\r\nthat offer a wide variety of interaction possibilities and exhibit complex user\r\ninterfaces, do usually not make use of additional advanced input and output devices.\r\nThe interaction is typically limited to the computer mouse and a keyboard. One of\r\nthe reasons for the lack of advanced interaction devices is the high cost of special\r\nhardware.\r\nThis thesis introduces the idea of Augmented Visualization. The aim of the\r\nproject is to develop a novel interaction solution for projection walls as well as PC\r\nmonitors using cheap hardware such as mobile phones or tablets. Several features\r\nof mobile devices will be exploited to improve the interaction experience. The main\r\ntechnical challenge of the project is to implement a solution for markerless visual\r\ntracking of the changing visualized scene. In the proposed setup, this also requires\r\nreal-time wireless video streaming between the mobile device and the PC. The realtime\r\ntracking of the visualized scene will allow to estimate the six-degrees-of-freedom\r\npose of the mobile device. The calculated position and orientation information can\r\nbe used for advanced interaction metaphors like magic lenses. Moreover, for a group\r\nof experts who are analyzing the data in front of the same screen, we can provide a\r\npersonal augmented view of the visualized scene, for each user on his/her personal\r\ndevice.\r\nThe thesis discusses the design questions and the implementation steps of an\r\nAugmented Visualization System, describes the prototype setup and presents the\r\nexperimental results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 451,
            "image_height": 611,
            "name": "Soros-AV-2010-Image.png",
            "type": "image/png",
            "size": 226408,
            "path": "Publication:Soros-AV-2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            901
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [
            "Handheld Augmented Reality",
            "Natural Feature Tracking",
            "Interactive Visualization",
            "Visualization Systems",
            "Human-Computer Interaction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Master Paper",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Soros-AV-2010-.pdf",
                "type": "application/pdf",
                "size": 8809358,
                "path": "Publication:Soros-AV-2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 451,
                "image_height": 611,
                "name": "Soros-AV-2010-Image.png",
                "type": "image/png",
                "size": 226408,
                "path": "Publication:Soros-AV-2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/Soros-AV-2010-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Soros-AV-2010/",
        "__class": "Publication"
    },
    {
        "id": "mattausch-2010-tao",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Screen-Space Ambient Occlusion using Temporal Coherence",
        "date": "2010-12",
        "abstract": "Ambient occlusion is a cheap but effective approximation of global illumination. Recently, screen-space ambient\nocclusion (SSAO) methods, which sample the frame buffer as a discretization of the scene geometry, have become\nvery popular for real-time rendering. We present temporal SSAO (TSSAO), a new algorithm which exploits\ntemporal coherence to produce high-quality ambient occlusion in real time. Compared to conventional SSAO,\nour method reduces both noise as well as blurring artifacts due to strong spatial filtering, faithfully representing\nfine-grained geometric structures. Our algorithm caches and reuses previously computed SSAO samples, and\nadaptively applies more samples and spatial filtering only in regions that do not yet have enough information\navailable from previous frames. The method works well for both static and dynamic scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "ssao",
            "filetitle": "image-buddha",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 458,
            "image_height": 722,
            "name": "mattausch-2010-tao-image-buddha.png",
            "type": "image/png",
            "size": 994420,
            "path": "Publication:mattausch-2010-tao",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            452,
            193
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "2492",
        "pages_to": "2503",
        "volume": "29",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "temporal coherence",
            "ambient occlusion",
            "real-time rendering"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01784.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": {
            "1": {
                "description": "ssao",
                "filetitle": "image-buddha",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 458,
                "image_height": 722,
                "name": "mattausch-2010-tao-image-buddha.png",
                "type": "image/png",
                "size": 994420,
                "path": "Publication:mattausch-2010-tao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-buddha:thumb{{size}}.png"
            },
            "2": {
                "description": "convergence",
                "filetitle": "image-knight",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 422,
                "image_height": 535,
                "name": "mattausch-2010-tao-image-knight.png",
                "type": "image/png",
                "size": 678997,
                "path": "Publication:mattausch-2010-tao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-knight.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-image-knight:thumb{{size}}.png"
            },
            "3": {
                "description": "EG-2011-talk",
                "filetitle": "talk-plus-videos",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mattausch-2010-tao-talk-plus-videos.zip",
                "type": "application/zip",
                "size": 67106479,
                "path": "Publication:mattausch-2010-tao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-talk-plus-videos.zip",
                "thumb_image_sizes": []
            },
            "4": {
                "description": "dynamic",
                "filetitle": "video-movements",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "mattausch-2010-tao-video-movements.mov",
                "type": "video/quicktime",
                "size": 121009125,
                "path": "Publication:mattausch-2010-tao",
                "preview_name": "mattausch-2010-tao-video-movements:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 29987,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-movements.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-movements:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-movements:video.mp4"
            },
            "5": {
                "description": "walkthrough",
                "filetitle": "video-sibenik",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "mattausch-2010-tao-video-sibenik.mov",
                "type": "video/quicktime",
                "size": 50011507,
                "path": "Publication:mattausch-2010-tao",
                "preview_name": "mattausch-2010-tao-video-sibenik:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 34743,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-sibenik.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-sibenik:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-sibenik:video.mp4"
            },
            "6": {
                "description": "walkthrough",
                "filetitle": "video-vienna",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "mattausch-2010-tao-video-vienna.mov",
                "type": "video/quicktime",
                "size": 94646374,
                "path": "Publication:mattausch-2010-tao",
                "preview_name": "mattausch-2010-tao-video-vienna:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 32020,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/mattausch-2010-tao-video-vienna:video.mp4"
            }
        },
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-tao/",
        "__class": "Publication"
    },
    {
        "id": "rautek2010",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Continuous Integration",
        "date": "2010-11-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "icon",
            "filetitle": "icon",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 229,
            "image_height": 220,
            "name": "rautek2010-icon.jpg",
            "type": "image/jpeg",
            "size": 6607,
            "path": "Publication:rautek2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "event": "Software Engineering Seminar",
        "lecturer": [
            488
        ],
        "location": "Vienna",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "icon",
                "filetitle": "icon",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 229,
                "image_height": 220,
                "name": "rautek2010-icon.jpg",
                "type": "image/jpeg",
                "size": 6607,
                "path": "Publication:rautek2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-icon:thumb{{size}}.png"
            },
            {
                "description": "The slides of the talk",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "rautek2010-slides.ppt",
                "type": "",
                "size": 2704384,
                "path": "Publication:rautek2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-slides.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "The talk incl. slides",
                "filetitle": "talk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 480,
                "name": "rautek2010-talk.avi",
                "type": "video/x-msvideo",
                "size": 246086328,
                "path": "Publication:rautek2010",
                "preview_name": "rautek2010-talk:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 27538,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/rautek2010-talk:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/rautek2010/",
        "__class": "Publication"
    },
    {
        "id": "sikachev-2010-DFC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Focus+Context for Volume Rendering",
        "date": "2010-11",
        "abstract": "Interactive visualization is widely used in many applications for efficient representation of complex data.\r\nMany techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics.\r\nIn this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics.\r\nOur approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864,
            488,
            161,
            166
        ],
        "address": "University of Siegen, Siegen, Germany",
        "booktitle": "Proceedings of Vision, Modeling and Visualization 2010",
        "date_from": "2010-11-15",
        "date_to": "2010-11-17",
        "lecturer": [
            864
        ],
        "location": "Siegen, Germany",
        "pages_from": "331",
        "pages_to": "338",
        "research_areas": [],
        "keywords": [
            "focus+contex",
            "volume rendering",
            "view-dependent visualization",
            "level-of-detail techniques",
            "nonphotorealistic techniques",
            "user interaction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Fast Forward (slides)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev-2010-DFC-Fast Forward (slides).pptx",
                "type": "application/zip",
                "size": 11553921,
                "path": "Publication:sikachev-2010-DFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Fast Forward (slides).pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Fast Forward (video)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "sikachev-2010-DFC-Fast Forward (video).wmv",
                "type": "text/plain",
                "size": 3214386,
                "path": "Publication:sikachev-2010-DFC",
                "preview_name": "sikachev-2010-DFC-Fast Forward (video):preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21394,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Fast Forward (video).wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Fast Forward (video):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev-2010-DFC-Poster.pdf",
                "type": "application/pdf",
                "size": 10857888,
                "path": "Publication:sikachev-2010-DFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev-2010-DFC-Preprint.pdf",
                "type": "application/pdf",
                "size": 7879938,
                "path": "Publication:sikachev-2010-DFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Preprint:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "User Study",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev-2010-DFC-User Study.pdf",
                "type": "application/pdf",
                "size": 276255,
                "path": "Publication:sikachev-2010-DFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-User Study.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-User Study:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video (DVR-MIP)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev-2010-DFC-Video (DVR-MIP).wmv",
                "type": "text/plain",
                "size": 1378880,
                "path": "Publication:sikachev-2010-DFC",
                "preview_name": "sikachev-2010-DFC-Video (DVR-MIP):preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 17107,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (DVR-MIP).wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (DVR-MIP):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video (Panning)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev-2010-DFC-Video (Panning).wmv",
                "type": "text/plain",
                "size": 1048228,
                "path": "Publication:sikachev-2010-DFC",
                "preview_name": "sikachev-2010-DFC-Video (Panning):preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 15238,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (Panning).wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (Panning):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video (Radial Opacity Change)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 604,
                "preview_image_height": 480,
                "name": "sikachev-2010-DFC-Video (Radial Opacity Change).wmv",
                "type": "text/plain",
                "size": 847520,
                "path": "Publication:sikachev-2010-DFC",
                "preview_name": "sikachev-2010-DFC-Video (Radial Opacity Change):preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 11955,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (Radial Opacity Change).wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/sikachev-2010-DFC-Video (Radial Opacity Change):thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-DFC/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2010-imv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Multi-View Façade Image Editing",
        "date": "2010-11",
        "abstract": "We propose a system for generating high-quality approximated façade ortho-textures based on a set of perspective source photographs taken by a consumer hand-held camera. Our approach is to sample a combined orthographic approximation over the façade-plane from the input photos. In order to avoid kinks and seams which may occur on transitions between different source images, we introduce color adjustment and gradient domain stitching by solving a Poisson equation in real-time. In order to add maximum control on the one hand and easy interaction on the other, we provide several editing interactions allowing for user-guided post-processing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 353,
            "image_height": 167,
            "name": "musialski-2010-imv-image.jpg",
            "type": "image/jpeg",
            "size": 30433,
            "path": "Publication:musialski-2010-imv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            659,
            678,
            878,
            228,
            190
        ],
        "booktitle": "Vision, Modeling and Visualization Workshop 2010",
        "date_from": "2010-11-15",
        "date_to": "2010-11-17",
        "lecturer": [
            659
        ],
        "location": "Siegen, Germany",
        "research_areas": [],
        "keywords": [
            "urban reconstruction",
            "facade image processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "the final draft of the paper",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2010-imv-draft.pdf",
                "type": "application/pdf",
                "size": 12118929,
                "path": "Publication:musialski-2010-imv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-draft:thumb{{size}}.png"
            },
            {
                "description": "image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 353,
                "image_height": 167,
                "name": "musialski-2010-imv-image.jpg",
                "type": "image/jpeg",
                "size": 30433,
                "path": "Publication:musialski-2010-imv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/musialski-2010-imv-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-imv/",
        "__class": "Publication"
    },
    {
        "id": "Waser-2010-WL",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "World Lines",
        "date": "2010-11",
        "abstract": "In this paper we present World Lines as a novel interactive visualization that provides complete control over multiple\r\nheterogeneous simulation runs. In many application areas, decisions can only be made by exploring alternative scenarios. The goal\r\nof the suggested approach is to support users in this decision making process. In this setting, the data domain is extended to a set of\r\nalternative worlds where only one outcome will actually happen. World Lines integrates simulation, visualization and computational\r\nsteering into a single unified system that is capable of dealing with the extended solution space. World Lines represents simulation\r\nruns as causally connected tracks that share a common time axis. This setup enables users to interfere and add new information\r\nquickly. A World Line is introduced as a visual combination of user events and their effects in order to present a possible future. To\r\nquickly find the most attractive outcome, we suggest World Lines as the governing component in a system of multiple linked views\r\nand a simulation component. World Lines employs linking and brushing to enable comparative visual analysis of multiple simulations\r\nin linked views. Analysis results can be mapped to various visual variables that World Lines provides in order to highlight the most\r\ncompelling solutions. To demonstrate this technique we present a flooding scenario and show the usefulness of the integrated\r\napproach to support informed decision making.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 814,
            "image_height": 601,
            "name": "Waser-2010-WL-Image.jpg",
            "type": "image/jpeg",
            "size": 43610,
            "path": "Publication:Waser-2010-WL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            798,
            672,
            889,
            829,
            1330,
            166
        ],
        "booktitle": "IEEE Transactions on Visualization and Computer Graphics",
        "date_from": "2010",
        "journal": "IEEE Transactions on visualization and Computer Graphics",
        "lecturer": [
            798
        ],
        "number": "6",
        "pages_from": "1458",
        "pages_to": "1467",
        "volume": "16",
        "research_areas": [],
        "keywords": [
            "decision making, simulation steering",
            "parallel worlds, CFD",
            "smoothed particle hydrodynamics.",
            "Problem solving environment"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&amp;arnumber=5613487&amp;contentType=Journals+%26+Magazines&amp;searchField%3DSearch_All%26queryText%3DWorld+Lines",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 814,
                "image_height": 601,
                "name": "Waser-2010-WL-Image.jpg",
                "type": "image/jpeg",
                "size": 43610,
                "path": "Publication:Waser-2010-WL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Waser-2010-WL-Paper.pdf",
                "type": "application/pdf",
                "size": 10682233,
                "path": "Publication:Waser-2010-WL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/Waser-2010-WL-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Semantic Steering"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Waser-2010-WL/",
        "__class": "Publication"
    },
    {
        "id": "Mayer-2010-VT",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Texturing",
        "date": "2010-10",
        "abstract": "Virtual texturing (as presented by Mittring in ’Advanced Virtual Texture Topics’ and in\r\ndistinction to clipmap-style systems, to which this term is also applied) is a solution to\r\nthe problem of real-time rendering of scenes with vast amounts of texture data which\r\ndoes not fit into graphics or main memory. Virtual texturing works by preprocessing\r\nthe aggregate texture data into equally-sized tiles and determining the necessary tiles\r\nfor rendering before each frame. These tiles are then streamed to the graphics card and\r\nrendering is performed with a special virtual texturing fragment shader that does texture\r\ncoordinate adjustments to sample from the tile storage texture.\r\nA thorough description of virtual texturing and related topics is given, along with an\r\nexamination of specific challenges including preprocessing, visible tile determination,\r\ntexture filtering, tile importance metrics and many more. Tile determination in view\r\nspace is examined in detail and an implementation for compressing the resulting buffer\r\nin OpenCL is presented. Rendering with correct texture filtering from a texture which\r\ncontains de-correlated texture tiles is attained by using tile borders with specific coordinate\r\nadjustment and gradient correction in the fragment shader.\r\nA sample implementation is described and serves to provide results concerning performance\r\nand correctness with different settings and architecture choices. Integration into\r\nOpen Scene Graph for usage within a hybrid point-cloud / polygonal renderer enables\r\nrendering of high resolution paintings within catacombs modeled with point clouds. Another\r\napplication is presented, the real-time display of a highly detailed model of New\r\nYork with more than 60 GB textures.\r\nQuantitative analysis reveals that frame-rates above 200 FPS are attainable on complex\r\nscenes with multi-million polygons even with outdated hardware. At the same time\r\nquality remains high, results indicate that ”fallbacks”, that occur when a needed texture\r\ntile is not ready in time, occur only for 0.01% of the pixels on average. These results\r\nshow that virtual texturing can be a competitive solution for games, scientific and industrial\r\napplications, allowing for real-time rendering of scenes that could not be displayed\r\npreviously, while maintaining acceptable visual quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 960,
            "image_height": 515,
            "name": "Mayer-2010-VT-.png",
            "type": "image/png",
            "size": 1182576,
            "path": "Publication:Mayer-2010-VT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            796
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 960,
                "image_height": 515,
                "name": "Mayer-2010-VT-.png",
                "type": "image/png",
                "size": 1182576,
                "path": "Publication:Mayer-2010-VT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mayer-2010-VT-poster.pdf",
                "type": "application/pdf",
                "size": 13115858,
                "path": "Publication:Mayer-2010-VT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mayer-2010-VT-Thesis.pdf",
                "type": "application/pdf",
                "size": 12664023,
                "path": "Publication:Mayer-2010-VT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/Mayer-2010-VT-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mayer-2010-VT/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2010-pfi",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Processing of Façade Imagery",
        "date": "2010-10",
        "abstract": "Modeling and reconstruction of urban environments is currently the subject of intensive research. There is a wide range of possible applications, including virtual environments like cyber-tourism, computer games, and the entertainment industries in general, as well as urban planning and architecture, security planning and training, traffic simulation, driving guidance and telecommunications, to name but a few.\nThe research directions are spread across the disciplines of computer vision, computer graphics, image processing, photogrammetry and remote sensing, as well as architecture and the geosciences.  Reconstruction is a complex problem and requires an entire pipeline of different tasks.\n\nIn this thesis we focus on processing of images of façades which is one specific subarea of urban reconstruction. The goal of our research is to provide novel algorithmic solutions for\nproblems in façade imagery processing.  In particular, the contribution of this thesis is the following:\n\nFirst, we introduce a system for generation of approximate orthogonal façade images. The method is a combination of automatic and interactive tools in order to provide a convenient way to generate high-quality results.\n\nThe second problem addressed in this thesis is façade image segmentation. In particular, usually by segmentation we mean the subdivision of the façade into windows and other architectural elements. We address this topic with two different algorithms for detection of grids over the façade image.\n\nFinally, we introduce one more façade processing algorithm, this time with the goal to improve the quality of the façade appearance. The algorithm propagates visual information across the image in order to remove potential obstacles and occluding objects.\n\nThe output is intended as source for textures in urban reconstruction projects. The construction of large three-dimensional urban environments itself is beyond the scope of this thesis. However, we propose a suite of tools together with mathematical foundations that contribute to the state-of-the-art and provide helpful building blocks important for large scale urban reconstruction projects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Processing of Façade Imagery",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1124,
            "image_height": 768,
            "name": "musialski-2010-pfi-image.png",
            "type": "image/png",
            "size": 659441,
            "path": "Publication:musialski-2010-pfi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844
        ],
        "date_end": "2010-10",
        "date_start": "2007-10",
        "reviewer_1": [
            190
        ],
        "reviewer_2": [
            194
        ],
        "rigorosum": "2010-11-16",
        "supervisor": [
            190
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "facade processing",
            "urban reconstruction",
            "image processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Processing of Façade Imagery",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1124,
                "image_height": 768,
                "name": "musialski-2010-pfi-image.png",
                "type": "image/png",
                "size": 659441,
                "path": "Publication:musialski-2010-pfi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-image:thumb{{size}}.png"
            },
            {
                "description": "Processing of Façade Imagery",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2010-pfi-thesis.pdf",
                "type": "application/pdf",
                "size": 16897160,
                "path": "Publication:musialski-2010-pfi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/musialski-2010-pfi-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-pfi/",
        "__class": "Publication"
    },
    {
        "id": "Przemyslaw-2010-ADS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Device-aware Spatial 3D Visualization Platform for Mobile Urban Exploration ",
        "date": "2010-10",
        "abstract": "Mobile devices displaying 2D map representations are  already  commonly  used  for  the  exploration  of  urban  surroundings on the move. Even though mobile detailed 3D visualizations promise to be an attractive way to cope with the increasing amount of georeferenced information, their widespread use is hampered by the fragmentation of today’s mobile device landscape. In this paper, we tackle this real-world problem by introducing  a  device-aware  3D  visualization  service  platform. Its  core  is  composed  of  a  rule  engine  selecting  and  tailoring a suitable visualization process for a requesting device. While we apply remote-renderings for resource-restrained mobile devices, real-time on-device renderings are applied for high-end devices. Following this device-aware approach, a variety of mobile devices with different technical capabilities can be provided with tailored environmental 3D representations for mobile urban exploration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 692,
            "image_height": 414,
            "name": "Przemyslaw-2010-ADS-image.jpg",
            "type": "image/jpeg",
            "size": 105032,
            "path": "Publication:Przemyslaw-2010-ADS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            895,
            844
        ],
        "booktitle": "Proceedings of the Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010)",
        "date_from": "2010-10-25",
        "date_to": "2010-10-30",
        "isbn": "978-1-61208-000-0",
        "lecturer": [
            895
        ],
        "location": "Florenz, Italien",
        "organization": "The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2010)",
        "pages_from": "47",
        "pages_to": "52",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 692,
                "image_height": 414,
                "name": "Przemyslaw-2010-ADS-image.jpg",
                "type": "image/jpeg",
                "size": 105032,
                "path": "Publication:Przemyslaw-2010-ADS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/Przemyslaw-2010-ADS-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Przemyslaw-2010-ADS/",
        "__class": "Publication"
    },
    {
        "id": "amirkhanov2010AMA",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Optimality and Stability Analysis of 3DCT Scan Positions",
        "date": "2010-10",
        "abstract": "Industrial cone-beam X-Ray computed tomography (CT) systems often face problems due to artifacts caused by a bad placement of the specimen on the rotary plate. This paper presents a visual-analysis tool for CT systems, which provides a simulation-based\npreview and estimates artifacts and deviations of a specimen’s placement using the corresponding 3D geometrical surface model as input. The presented tool identifies potentially good or bad placements of a specimen and regions of a specimen, which cause the major portion of artefacts. The tool can be used for a preliminary analysis of the specimen before CT scanning, in order to determine the optimal way of placing the object. The analysis includes: penetration lengths, placement stability and an investigation\nin Radon space. Novel visualization techniques are applied to the simulation data. A stability widget is presented for determining the placement parameters’ robustness. The performance and the comparison of results provided by the tool compared with real world data is demonstrated using two specimens.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            817,
            611,
            789,
            166
        ],
        "date_from": "2010-10-24",
        "date_to": "2010-10-29",
        "event": "VisWeek2010",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            817
        ],
        "pages_from": "Page 1477 ",
        "pages_to": "1487",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov2010AMA-paper pdf.pdf",
                "type": "application/pdf",
                "size": 7941725,
                "path": "Publication:amirkhanov2010AMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-paper pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-paper pdf:thumb{{size}}.png"
            },
            {
                "description": "Presentation slides",
                "filetitle": "presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "amirkhanov2010AMA-presentation.ppt",
                "type": "",
                "size": 7224320,
                "path": "Publication:amirkhanov2010AMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-presentation.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "Video demonstration pf presented tool",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "amirkhanov2010AMA-Video.wmv",
                "type": "text/plain",
                "size": 8430138,
                "path": "Publication:amirkhanov2010AMA",
                "preview_name": "amirkhanov2010AMA-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 22757,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-Video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/amirkhanov2010AMA-Video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/amirkhanov2010AMA/",
        "__class": "Publication"
    },
    {
        "id": "BAGAR-2010-LPB",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Layered Particle-Based Fluid Model for Real-Time Rendering of Water",
        "date": "2010-10",
        "abstract": "We present a physically based real-time water simulation and rendering\r\nmethod that brings volumetric foam to the real-time domain, significantly\r\nincreasing the realism of dynamic fluids. We do this by combining a particlebased\r\nfluid model that is capable of accounting for the formation of foam\r\nwith a layered rendering approach that is able to account for the volumetric\r\nproperties of water and foam. Foam formation is simulated through Weber\r\nnumber thresholding. For rendering, we approximate the resulting water and\r\nfoam volumes by storing their respective boundary surfaces in depth maps.\r\nThis allows us to calculate the attenuation of light rays that pass through\r\nthese volumes very efficiently. We also introduce an adaptive curvature flow\r\nfilter that produces consistent fluid surfaces from particles independent of\r\nthe viewing distance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            724
        ],
        "supervisor": [
            452,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "BAGAR-2010-LPB-poster.pdf",
                "type": "application/pdf",
                "size": 924644,
                "path": "Publication:BAGAR-2010-LPB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/BAGAR-2010-LPB/BAGAR-2010-LPB-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/BAGAR-2010-LPB/BAGAR-2010-LPB-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "BAGAR-2010-LPB-thesis.pdf",
                "type": "application/pdf",
                "size": 4929840,
                "path": "Publication:BAGAR-2010-LPB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/BAGAR-2010-LPB/BAGAR-2010-LPB-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/BAGAR-2010-LPB/BAGAR-2010-LPB-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/BAGAR-2010-LPB/",
        "__class": "Publication"
    },
    {
        "id": "balabanian-2009-mav",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi-Aspect Visualization: Going from Linked Views to Integrated Views",
        "date": "2010-10",
        "abstract": "This thesis is a delve into the matter of visualization integration. There are many\r\napproaches to visualizing volume data and often several of these approaches can\r\nappropriately be used at the same time to visualize di\u000berent aspects. The usual\r\nway is to visualize these aspects separately in di\u000berent views, but integrating\r\nthe visualizations into the same view can often be the superior approach. We\r\ndescribe the two most used approaches to visualizing several aspects at the same\r\ntime; linked views and integrated views. We describe some approaches to create\r\nintegrated visualizations by showing where in the visualization pipeline the integration\r\ntakes place. We present work produced by the author describing the\r\nintegrated visualizations developed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 462,
            "image_height": 720,
            "name": "balabanian-2009-mav-image.jpg",
            "type": "image/jpeg",
            "size": 69890,
            "path": "Publication:balabanian-2009-mav",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673
        ],
        "date_end": "2009",
        "rigorosum": "2010-01-07",
        "supervisor": [
            166,
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 462,
                "image_height": 720,
                "name": "balabanian-2009-mav-image.jpg",
                "type": "image/jpeg",
                "size": 69890,
                "path": "Publication:balabanian-2009-mav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "balabanian-2009-mav-paper.pdf",
                "type": "application/pdf",
                "size": 61902762,
                "path": "Publication:balabanian-2009-mav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/balabanian-2009-mav-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/balabanian-2009-mav/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2010-gph",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Empirical Pipeline to Derive Gaze Prediction Heuristics for 3D Action Games",
        "date": "2010-10",
        "abstract": "Gaze analysis and prediction in interactive virtual environments, such as games, is a challenging topic since the 3D perspective and variations of the viewpoint as well as the current task introduce many variables that affect the distribution of gaze. In\r\nthis article, we present a novel pipeline to study eye-tracking data acquired from interactive 3D applications. The result of the\r\npipeline is an importance map which scores the amount of gaze spent on each object. This importance map is then used as a heuristic to predict a user’s visual attention according to the object properties present at runtime. The novelty of this approach is that the analysis is performed in object space and the importance map is defined in the feature space of high-level properties. High-level properties are used to encode task relevance and other attributes, such as eccentricity, which may have an impact on gaze behavior.\r\n\r\nThe pipeline has been tested with an exemplary study on a first-person shooter game. In particular, a protocol is presented describing the data acquisition procedure, the learning of different importance maps from the data, and finally an evaluation of the performance of the derived gaze predictors. A metric measuring the degree of correlation between attention predicted by the importance map and the actual gaze yielded clearly positive results. The correlation becomes particularly strong when the player is attentive to an in-game task.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1740,
            "image_height": 657,
            "name": "bernhard-2010-gph-teaser.JPG",
            "type": "image/jpeg",
            "size": 113142,
            "path": "Publication:bernhard-2010-gph",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660,
            731,
            193
        ],
        "issn": "1544-3558",
        "journal": "ACM Transactions on Applied Perception",
        "number": "1",
        "pages_from": "4:1",
        "pages_to": "4:30",
        "volume": "8",
        "research_areas": [],
        "keywords": [
            "gaze predictor",
            "video games",
            "virtual environments",
            "eye-tracking",
            "gaze analysis"
        ],
        "weblinks": [
            {
                "href": "http://doi.acm.org/10.1145/1857893.1857897",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "draft",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2010-gph-draft.pdf",
                "type": "application/pdf",
                "size": 10856635,
                "path": "Publication:bernhard-2010-gph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-draft:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1740,
                "image_height": 657,
                "name": "bernhard-2010-gph-teaser.JPG",
                "type": "image/jpeg",
                "size": 113142,
                "path": "Publication:bernhard-2010-gph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/bernhard-2010-gph-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bernhard-2010-gph/",
        "__class": "Publication"
    },
    {
        "id": "brucker-2010-RES",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Result-Driven Exploration of Simulation Parameter Spaces for Visual Effects Design",
        "date": "2010-10",
        "abstract": "Graphics artists commonly employ physically-based simulation for the generation of effects such as smoke, explosions, and similar phenomena. The task of finding the correct parameters for a desired result, however, is difficult and time-consuming as current tools provide little to no guidance. In this paper, we present a new approach for the visual exploration of such parameter spaces. Given a three-dimensional scene description, we utilize sampling and spatio-temporal clustering techniques to generate a concise overview of the achievable variations and their temporal evolution. Our visualization system then allows the user to explore the simulation space in a goal-oriented manner. Animation sequences with a set of desired characteristics can be composed using a novel search-by-example approach and interactive direct volume rendering is employed to provide instant visual feedback. A user study was performed to evaluate the applicability of our system in production use.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot of the visual exploration system for visual effects design",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1608,
            "image_height": 984,
            "name": "brucker-2010-RES-Image.jpg",
            "type": "image/jpeg",
            "size": 706469,
            "path": "Publication:brucker-2010-RES",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            196
        ],
        "date_from": "2010-10-24",
        "date_to": "2010-10-29",
        "event": "IEEE Visualization 2010",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            161
        ],
        "location": "Salt Lake City, Utah, USA",
        "number": "6",
        "pages_from": "1467",
        "pages_to": "1475",
        "volume": "16",
        "research_areas": [],
        "keywords": [
            "visual exploration",
            "visual effects",
            "clustering",
            "time-dependent volume data"
        ],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&amp;arnumber=5613488&amp;contentType=Journals+%26+Magazines&amp;searchField%3DSearch_All%26queryText%3DResult-Driven+Exploration+of+Simulation+Parameter+Spaces+for+Visual+Effects+Design",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Screenshot of the visual exploration system for visual effects design",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1608,
                "image_height": 984,
                "name": "brucker-2010-RES-Image.jpg",
                "type": "image/jpeg",
                "size": 706469,
                "path": "Publication:brucker-2010-RES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brucker-2010-RES-Paper.pdf",
                "type": "application/pdf",
                "size": 37538161,
                "path": "Publication:brucker-2010-RES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Paper:thumb{{size}}.png"
            },
            {
                "description": "Demonstration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1296,
                "preview_image_height": 804,
                "name": "brucker-2010-RES-Video.avi",
                "type": "video/x-msvideo",
                "size": 34708264,
                "path": "Publication:brucker-2010-RES",
                "preview_name": "brucker-2010-RES-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 57750,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/brucker-2010-RES-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brucker-2010-RES/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2010e",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Overview of Temporal Coherence Methods in Real-Time Rendering  ",
        "date": "2010-10",
        "abstract": "Most of the power of modern graphics cards is put into the acceleration of shading tasks because here lies the major bottleneck for most sophisticated real-time algorithms. By using temporal coherence, i.e. reusing shading information from a previous frame, this problem can be alleviated. This paper gives an overview of the concepts of temporal coherence in real-time rendering and should give the reader the working practical and theoretical knowledge to exploit temporal coherence in his own algorithms.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "reprojection",
            "filetitle": "reprojection",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1890,
            "image_height": 1134,
            "name": "scherzer2010e-reprojection.png",
            "type": "image/png",
            "size": 1438470,
            "path": "Publication:scherzer2010e",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-reprojection.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-reprojection:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452
        ],
        "booktitle": " 14th International Conference on System Theory and Control 2010",
        "date_from": "2010-10-17",
        "date_to": "2010-10-19",
        "issn": "2068-0465",
        "lecturer": [
            452
        ],
        "location": "Sinaia, Romania",
        "organization": "IEEE",
        "pages_from": "497",
        "pages_to": "502",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer2010e-pdf.pdf",
                "type": "application/pdf",
                "size": 11871226,
                "path": "Publication:scherzer2010e",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-pdf:thumb{{size}}.png"
            },
            {
                "description": "reprojection",
                "filetitle": "reprojection",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1890,
                "image_height": 1134,
                "name": "scherzer2010e-reprojection.png",
                "type": "image/png",
                "size": 1438470,
                "path": "Publication:scherzer2010e",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-reprojection.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/scherzer2010e-reprojection:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010e/",
        "__class": "Publication"
    },
    {
        "id": "knecht_martin_2010_DIR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Differential Instant Radiosity for Mixed Reality",
        "date": "2010-10",
        "abstract": "In this paper we present a novel plausible realistic rendering method for mixed reality systems, which is useful for many real life application scenarios, like architecture, product visualization or edutainment. To allow virtual objects to seamlessly blend into the real environment, the real lighting conditions and the mutual illumination effects between real and virtual objects must be considered, while maintaining interactive frame rates (20-30fps). The most important such effects are indirect illumination and shadows cast between real and virtual objects.\n\nOur approach combines Instant Radiosity and Differential Rendering. In contrast to some previous solutions, we only need to render the scene once in order to find the mutual effects of virtual and real scenes. The dynamic real illumination is derived from the image stream of a fish-eye lens camera. We describe a new method to assign virtual point lights to multiple primary light sources, which can be real or virtual. We use imperfect shadow maps for calculating illumination from virtual point lights and have significantly improved their accuracy by taking the surface normal of a shadow caster into account. Temporal coherence is exploited to reduce flickering artifacts. Our results show that the presented method highly improves the illusion in mixed reality applications and significantly diminishes the artificial look of virtual objects superimposed onto real scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image0",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1019,
            "image_height": 763,
            "name": "knecht_martin_2010_DIR-image0.jpg",
            "type": "image/jpeg",
            "size": 461015,
            "path": "Publication:knecht_martin_2010_DIR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736,
            237,
            326,
            190,
            193
        ],
        "booktitle": "Proceedings of the 2010 IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2010)",
        "date_from": "2010-10-13",
        "date_to": "2010-10-16",
        "lecturer": [
            736
        ],
        "location": "Seoul",
        "note": "Best Paper Award!",
        "pages_from": "99",
        "pages_to": "107",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Instant Radiosity",
            "Differential Rendering",
            "Real-time Global Illumination",
            "Mixed Reality"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "image0",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1019,
                "image_height": 763,
                "name": "knecht_martin_2010_DIR-image0.jpg",
                "type": "image/jpeg",
                "size": 461015,
                "path": "Publication:knecht_martin_2010_DIR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image0:thumb{{size}}.png"
            },
            "1": {
                "description": "Virtual objects shadow real box",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1023,
                "image_height": 767,
                "name": "knecht_martin_2010_DIR-image1.jpg",
                "type": "image/jpeg",
                "size": 1376191,
                "path": "Publication:knecht_martin_2010_DIR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image1:thumb{{size}}.png"
            },
            "2": {
                "description": "Color bleeding from virtual on real object",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1022,
                "image_height": 765,
                "name": "knecht_martin_2010_DIR-image2.jpg",
                "type": "image/jpeg",
                "size": 1430039,
                "path": "Publication:knecht_martin_2010_DIR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image2:thumb{{size}}.png"
            },
            "3": {
                "description": "Color bleeding from real on virtual object",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1022,
                "image_height": 765,
                "name": "knecht_martin_2010_DIR-image3.jpg",
                "type": "image/jpeg",
                "size": 1455524,
                "path": "Publication:knecht_martin_2010_DIR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-image3:thumb{{size}}.png"
            },
            "4": {
                "description": "Differential Instant Radiosity for Mixed Reality",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht_martin_2010_DIR-paper.pdf",
                "type": "application/pdf",
                "size": 19340106,
                "path": "Publication:knecht_martin_2010_DIR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-paper:thumb{{size}}.png"
            },
            "6": {
                "description": "Video Results",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "knecht_martin_2010_DIR-Video.avi",
                "type": "video/x-msvideo",
                "size": 8766976,
                "path": "Publication:knecht_martin_2010_DIR",
                "preview_name": "knecht_martin_2010_DIR-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/knecht_martin_2010_DIR-Video:video.mp4"
            }
        },
        "projects_workgroups": [
            "RESHADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/knecht_martin_2010_DIR/",
        "__class": "Publication"
    },
    {
        "id": "kuehtreiber_patrick_2010-BAR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "BRDF approximation and estimation for Augmented Reality",
        "date": "2010-10",
        "abstract": "In Augmented Reality applications it is important to have a good description of the surfaces of real objects if a consistent shading between real and virtual object is required. This thesis emphasizes on this topic as the thesis is a part of the RESHADE1 project whose\naim is to deliver a scene of virtual and real objects mixed together where difference is not noticable for the viewer. That means that virtual objects also influence the appearance of the real objects. If such a description of a surface is not available it has to be estimated or approximated during runtime.\n\nIn my bachelor thesis I will present certain methods that deal with real-time bi-directional reflectance distribution function (BRDF) approximation in augmented reality. Of course the most important thing is that the applications I present all work in real-time and compute good (and real) looking results.\n\nThere are different methods on how to achieve this goal. Most of the methods I am going to present work via image based lighting and require a 3D polygonal mesh representation of the object whose BRDF shall be approximated. Some methods estimate the BRDF parameters via error values and provide results at each iteration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            841
        ],
        "number": "TR-186-2-10-01",
        "research_areas": [],
        "keywords": [
            "Real-time BRDF approximation",
            "Augmented Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "BRDF approximation and estimation for Augmented Reality",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kuehtreiber_patrick_2010-BAR-paper.pdf",
                "type": "application/pdf",
                "size": 837201,
                "path": "Publication:kuehtreiber_patrick_2010-BAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber_patrick_2010-BAR/kuehtreiber_patrick_2010-BAR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber_patrick_2010-BAR/kuehtreiber_patrick_2010-BAR-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber_patrick_2010-BAR/",
        "__class": "Publication"
    },
    {
        "id": "lipp_markus-2010-DAC",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Direct Artist Control for Procedural Content Generation of Urban Environments",
        "date": "2010-10",
        "abstract": "Creating 3D digital assets of urban environments is a challenging task, requiring a significant amount of manual labor. To automate parts of this process, many procedural modeling methods to automatically create buildings, plants or entire cities were introduced. The main advantage of such methods compared to manual methods is the ability to create large amounts of assets using just a few parameters as input data. \r\n\r\nHowever, the main disadvantage is the difficulty to control or predict the output of such methods. Direct controllability is especially important for artists enabling them to model the output to their vision or requirements. Therefore, the main goal of this thesis is combining the direct control provided by manual methods with the power of procedural modeling.\r\n\r\nTo achieve this, several new methods and paradigms bringing direct and visual artist control to procedural generation of urban environments are contributed in this thesis. These include a method enabling a visual design process for building grammars, as well as methods providing direct artist control for architecture generation algorithms. To model whole cities, we introduce a layering system for urban layouts based on graph cut, contributing the ability to perform direct and persistent changes to a procedurally generated city. Additionally, the concept of anchored assignments is introduced, enabling direct control of parameter distributions on cities. Finally, as real-time performance of generation algorithms is paramount if they are to be used in a production setting, we introduce an algorithm able to parallelize the work of L-system generation to thousands of processors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "lipp_markus-2010-DAC-.pdf",
            "type": "application/pdf",
            "size": 921518,
            "path": "Publication:lipp_markus-2010-DAC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680
        ],
        "co_supervisor": [
            194
        ],
        "duration": "3 years",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            194
        ],
        "rigorosum": "2010-11-16",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "Procedural Modeling",
            "Urban Layouts",
            "Interactive Control"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "lipp_markus-2010-DAC-.pdf",
                "type": "application/pdf",
                "size": 921518,
                "path": "Publication:lipp_markus-2010-DAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-:thumb{{size}}.png"
            },
            {
                "description": "Pdf of thesis",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1186,
                "preview_image_height": 1054,
                "name": "lipp_markus-2010-DAC-Thesis.pdf",
                "type": "application/pdf",
                "size": 17993864,
                "path": "Publication:lipp_markus-2010-DAC",
                "preview_name": "lipp_markus-2010-DAC-Thesis:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 403894,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/lipp_markus-2010-DAC-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/lipp_markus-2010-DAC/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2010-PGMS",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Generation of Multiple L-Systems",
        "date": "2010-10",
        "abstract": "This paper introduces a solution to compute L-systems on parallel architectures like GPUs and multi-core CPUs. Our solution can split the derivation of the L-system as well as the interpretation and geometry generation into thousands of threads running in parallel. We introduce a highly parallel algorithm for L-system evaluation that works on arbitrary L-systems, including parametric productions, context sensitive productions, stochastic production selection, and productions with side effects. This algorithm is further extended to allow evaluation of multiple independent L-systems in parallel. In contrast to previous work, we directly interpret the productions defined in plain-text, without requiring any compilation or transformation step (e.g., into shaders). Our algorithm is efficient in the sense that it requires no explicit inter-thread communication or atomic operations, and is thus completely lock free.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 400,
            "name": "LIPP-2010-PGMS-.jpg",
            "type": "image/jpeg",
            "size": 113897,
            "path": "Publication:LIPP-2010-PGMS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680,
            194,
            193
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "5",
        "pages_from": "585",
        "pages_to": "593",
        "volume": "34",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 400,
                "name": "LIPP-2010-PGMS-.jpg",
                "type": "image/jpeg",
                "size": 113897,
                "path": "Publication:LIPP-2010-PGMS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LIPP-2010-PGMS-preprint.pdf",
                "type": "application/pdf",
                "size": 2697005,
                "path": "Publication:LIPP-2010-PGMS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/LIPP-2010-PGMS-preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/LIPP-2010-PGMS/",
        "__class": "Publication"
    },
    {
        "id": "Gavrilescu-2010-CIE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Custom Interface Elements for Improved Paramter Control in Volume Rendering",
        "date": "2010-10",
        "abstract": "In volume visualization interfaces, renderingrelated\r\nparameters are often manually editable through\r\nvarious controls and interface elements. Most of the time\r\nhowever, these offer little or no beforehand information on\r\nthe resulting effects that would occur for certain parameter\r\nvalues or across the whole value domain. This makes\r\nparameter adjustment a trial and error process. We have\r\ndeveloped techniques to anticipate these changes and display\r\nthem on customized versions of popular interface elements,\r\nsuch as sliders or transfer function editors. Through the use of\r\nvisualization means such as graphs, color mapping, and\r\nvarious other indicators, the influence of potential parameter\r\nchanges on the volume rendering output can be assessed\r\nbefore any actual changes are made. This makes it easier for\r\nthe potential user to work with such interfaces, while\r\nreceiving feedback on parameter behavior and stability.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            737,
            607,
            166
        ],
        "booktitle": "14th Int. Conf. on System Theory and Control 2010",
        "date_from": "1020-10-17",
        "date_to": "2010-10-19",
        "lecturer": [
            737
        ],
        "location": "Sinaia, Romania",
        "pages_from": "219",
        "pages_to": "224",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gavrilescu-2010-CIE-Paper.pdf",
                "type": "application/pdf",
                "size": 712316,
                "path": "Publication:Gavrilescu-2010-CIE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/Gavrilescu-2010-CIE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/Gavrilescu-2010-CIE-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Gavrilescu-2010-CIE/",
        "__class": "Publication"
    },
    {
        "id": "Habel_RAV_2010",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering and Animation of Vegetation",
        "date": "2010-10",
        "abstract": "Vegetation in all its different forms is almost\nalways part of a scenery, be it fully natural or urban. Even in\ncompletely cultivated areas or indoor scenes, though not very\ndominant, potted plants or alley trees and patches of grass\nare usually part of a surrounding. Rendering and animating\nvegetation is substantially different from rendering and animating\ngeometry with less geometric complexity such as houses,\nmanufactured products or other objects consisting of largely\nconnected surfaces.\nIn this paper we will discuss several challenges posed by\nvegetation in real-time applications such as computer games\nand virtual reality applications and show efficient solutions to\nthe problems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 582,
            "name": "Habel_RAV_2010-.png",
            "type": "image/png",
            "size": 919347,
            "path": "Publication:Habel_RAV_2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618
        ],
        "booktitle": "14th International Conference on System Theory and Control      (Joint conference of SINTES14, SACCS10, SIMSIS14)",
        "date_from": "2010-10-17",
        "date_to": "2010-10-19",
        "issn": "2068-0465",
        "lecturer": [
            618
        ],
        "location": "Sinaia",
        "pages_from": "231",
        "pages_to": "236",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Animation",
            "Real-Time Rendering",
            "Vegetation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 582,
                "name": "Habel_RAV_2010-.png",
                "type": "image/png",
                "size": 919347,
                "path": "Publication:Habel_RAV_2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-:thumb{{size}}.png"
            },
            {
                "description": "Real-Time Rendering and Animation of Vegetation",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_RAV_2010-paper.pdf",
                "type": "application/pdf",
                "size": 6452891,
                "path": "Publication:Habel_RAV_2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/Habel_RAV_2010-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel_RAV_2010/",
        "__class": "Publication"
    },
    {
        "id": "hornacek-2010-evp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extracting Vanishing Points across Multiple Views",
        "date": "2010-09",
        "abstract": "The realization that we see lines we know to be parallel in space as lines that appear to\r\nconverge in a corresponding vanishing point has led to techniques employed by artists\r\nto render a credible impression of perspective. More recently, it has also led to\r\ntechniques for recovering information embedded in images—or, indeed, in paintings\r\nthat feature correct perspective—concerning the geometry of their underlying scene.\r\nIn this thesis, we explore the extraction of vanishing points in the aim of facilitating\r\nthe reconstruction of urban scenes. In departure from most vanishing point extraction\r\nmethods, ours extracts a constellation of vanishing points across multiple views rather\r\nthan in a single image alone. By making use of a strong orthogonality criterion per\r\nview, optimal segment intersection estimation and a novel tripod fitting technique, our\r\napproach allows for the extraction of results that correspond closely to the dominant\r\nthree pairwise-orthogonal orientations of a typical urban scene. Accordingly, ours can\r\nfairly be described as a material refinement of the approach proposed in Sinha et al.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 331,
            "image_height": 222,
            "name": "hornacek-2010-evp-image.png",
            "type": "image/png",
            "size": 158363,
            "path": "Publication:hornacek-2010-evp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            874
        ],
        "diploma_examina": "2010-09-28",
        "supervisor": [
            190,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 331,
                "image_height": 222,
                "name": "hornacek-2010-evp-image.png",
                "type": "image/png",
                "size": 158363,
                "path": "Publication:hornacek-2010-evp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hornacek-2010-evp-paper.pdf",
                "type": "application/pdf",
                "size": 30161509,
                "path": "Publication:hornacek-2010-evp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "hornacek-2010-evp-poster.pdf",
                "type": "application/pdf",
                "size": 7938519,
                "path": "Publication:hornacek-2010-evp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/hornacek-2010-evp-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/hornacek-2010-evp/",
        "__class": "Publication"
    },
    {
        "id": "malik-2010-cvp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparative Visualization for Parameter Studies of Dataset Series",
        "date": "2010-09",
        "abstract": "This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography (3DCT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial 3DCT device. A high-resolution series is explored using our planar-reformatting-based visualization system. We present a novel multi-image view and an edge explorer for comparing and visualizing gray values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. Our technique is scalable and generic. It can be effective in various application areas like parameter studies of imaging modalities and dataset artifact detection. For fast data retrieval and convenient usability, we use bricking of the datasets and efficient data structures. We evaluate the applicability of the proposed techniques in collaboration with our company partners.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 796,
            "image_height": 747,
            "name": "malik-2010-cvp-image.jpg",
            "type": "image/jpeg",
            "size": 160956,
            "path": "Publication:malik-2010-cvp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            611,
            166
        ],
        "issn": "1077-2626 ",
        "journal": "IEEE Transaction on Visualization and Computer Graphics (TVCG)",
        "number": "5",
        "pages_from": " 829",
        "pages_to": "840 ",
        "volume": "16",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5401158",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 796,
                "image_height": 747,
                "name": "malik-2010-cvp-image.jpg",
                "type": "image/jpeg",
                "size": 160956,
                "path": "Publication:malik-2010-cvp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/malik-2010-cvp-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/malik-2010-cvp/",
        "__class": "Publication"
    },
    {
        "id": "Bouzari-2010-ASR",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "An improved regularization method for artifact rejection in image super-resolution",
        "date": "2010-08",
        "abstract": "The main aim of this paper is to employ an improved regularization method to super-resolution problems. Super-resolution refers to a process that increases spatial resolution by fusing information from a sequence of images acquired in one or more of several possible ways. This process is an inverse problem, one that is known to be highly ill-conditioned. Total Variation regularization is one of the well-known techniques used to deal with such problems, which has some disadvantages like staircase effect artifacts and nonphysical dissipation. To enhance the robustness of processing against these artifacts, this paper proposes a new regularization method based on the coupling of fourth order PDE and a type of newly designed shock filtering based on complex diffusion in addition to previous Total Variation. In order to have sharp corner structures like edges, this work also considers a corner shock filter. The proposed scheme is not only able to remove the jittering effect artifacts along the edge directions but also able to restrain the rounding artifacts around the corner structures and most importantly, the stabilization of the overall process is assured. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            902
        ],
        "journal": "Signal, Image and Video Processing",
        "note": "In press",
        "research_areas": [],
        "keywords": [
            "Super-resolution",
            "Regularization",
            "Total variation",
            "Fourth order PDE",
            "Complex diffusion",
            "Linear structure tensor"
        ],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1007/s11760-010-0174-8",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Bouzari-2010-ASR/",
        "__class": "Publication"
    },
    {
        "id": "mistelbauer-2010-pvv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Processing and Visualization of Vessel Trees",
        "date": "2010-07",
        "abstract": "Automated processing and visualization of vascular structures is a common task in medical imaging. Maximum Intensity Projection (MIP) and Curved Planar Reformation (CPR) are well established and robust methods for clinical use. In case of calcified vessel walls, occlusion prevents exploring the inside of the vessels when using MIP. CPR allows to cut a single vessel along its centerline and to visualize the lumen. Extending the idea of CPR, a novel automatic method for vessel visualization is proposed. It works with multiple vessel centerlines that do not necessarily need to be connected into a tree structure. Arbitrarily complex vascular structures are rendered in the volume as point sets and optionally, occlusion halos are created around them to enhance depth perception. Vessel centerlines are automatically extracted from a volumetric data-set after performing feature extraction in a scale-space. The user is provided with the ability to control the final image and he or she can visually select the desired centerlines with visual queries by stroking with the mouse. Furthermore, a combination with the recent Maximum Intensity Difference Accumulation (MIDA) visualization technique is presented, which has the advantages of Direct Volume Rendering (DVR) such as occlusion and depth cues, but does not require an explicit transfer function specification. It is demonstrated how the proposed technique can be applied to large data-sets, particularly to data featuring peripheral arterial occlusive diseases or in order to detect possible embolisms as presented on a pulmonary data-set.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 577,
            "image_height": 135,
            "name": "mistelbauer-2010-pvv-image.jpg",
            "type": "image/jpeg",
            "size": 19265,
            "path": "Publication:mistelbauer-2010-pvv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869
        ],
        "diploma_examina": "2010-07-25",
        "supervisor": [
            693,
            806
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 577,
                "image_height": 135,
                "name": "mistelbauer-2010-pvv-image.jpg",
                "type": "image/jpeg",
                "size": 19265,
                "path": "Publication:mistelbauer-2010-pvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mistelbauer-2010-pvv-paper.pdf",
                "type": "application/pdf",
                "size": 25742924,
                "path": "Publication:mistelbauer-2010-pvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/mistelbauer-2010-pvv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mistelbauer-2010-pvv/",
        "__class": "Publication"
    },
    {
        "id": "scharl-master-thesis",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Artist-Controlled Modeling of Urban Environments",
        "date": "2010-07",
        "abstract": "Creating large-scale virtual environments for interactive applications such\nas computer games poses a demanding challenge for computer graphics.\nUrban environments are usually hand-crafted by artists using commercial\n3D modeling software. For today’s detail-rich games, this becomes less and\nless feasible. Procedural modeling techniques strive to help artists to create\nvirtual worlds in less time.\nIn this thesis, I present a system that helps artists and game designers\nto plan, layout and model urban environments for games and other media.\nMethods are described to create street networks manually and procedurally\nand to edit them interactively at any time in the development process. A\nstable street tessellation technique is employed that is able to represent street\nsegments as well as crossings connecting an arbitrary number of streets and\nthat adapts to the underlying terrain. Furthermore, I propose a constraint\nbased method to automatically populate a city with buildings from a set of\nexisting building models.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Result from a Manhattan-like scene created with the methods described in this thesis.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 732,
            "image_height": 452,
            "name": "scharl-master-thesis-image.png",
            "type": "image/png",
            "size": 484871,
            "path": "Publication:scharl-master-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            781
        ],
        "date_end": "2010-07-21",
        "date_start": "2008-03-04",
        "matrikelnr": "0325783",
        "supervisor": [
            452,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Result from a Manhattan-like scene created with the methods described in this thesis.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 732,
                "image_height": 452,
                "name": "scharl-master-thesis-image.png",
                "type": "image/png",
                "size": 484871,
                "path": "Publication:scharl-master-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scharl-master-thesis-poster.pdf",
                "type": "application/pdf",
                "size": 1218716,
                "path": "Publication:scharl-master-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-poster:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scharl-master-thesis-thesis.pdf",
                "type": "application/pdf",
                "size": 24287305,
                "path": "Publication:scharl-master-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/scharl-master-thesis-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scharl-master-thesis/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2011-pmous",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Modeling of Urbanistic Scenes",
        "date": "2010-06-09",
        "abstract": "The aim of the GameWorld project was the procedural generation of cities and buildings on different levels of control, from manual to fully automatic modeling. Target applications included\r\nmainly computer games, virtual reality applications and other digital content creation scenarios for entertainment industry, architectural, historical and archaeological visualizations, and much more.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            680,
            781,
            193
        ],
        "event": "Austrian-Russian Joint Seminar - Visual Computing in Fundamental, Academic and Applied Science and Research",
        "lecturer": [
            1303
        ],
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2011-pmous/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2010-mom",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Brushing Moments in Interactive Visual Analysis",
        "date": "2010-06",
        "abstract": "We present a systematic study of opportunities for the interactive visual analysis of multi-dimensional scientific data. This is based on the integration of statistical aggregations along selected data dimensions in a framework of coordinated multiple views (with linking and brushing). Traditional and robust estimates of the four statistical moments (mean, variance, skewness, and kurtosis) as well as measures of outlyingness are integrated in an iterative visual analysis process. Brushing particular statistics, the analyst can investigate data characteristics such as trends and outliers. We present a categorization of beneficial combinations of attributes in 2D scatterplots: (a) k-th vs. (k+1)-th statistical moment of a traditional or robust estimate, (b) traditional vs. robust version of the same moment, (c) two different robust estimates of the same moment. We propose selected view transformations to iteratively construct this multitude of informative views as well as to enhance the depiction of the statistical properties in the scatterplots. In the framework, we interrelate the original distributional data and the aggregated statistics, which allows the analyst to work with both data representations simultaneously. We demonstrate our approach in the context of two visual analysis scenarios of multi-run climate simulations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 971,
            "name": "Kehrer-2010-mom-image.jpg",
            "type": "image/jpeg",
            "size": 132720,
            "path": "Publication:Kehrer-2010-mom",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            962,
            176
        ],
        "event": "EuroVis 2010",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            983
        ],
        "location": "Bordeaux, France",
        "number": "3",
        "pages_from": "813",
        "pages_to": "822",
        "volume": "29",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1111/j.1467-8659.2009.01697.x",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2010-mom-Draft.pdf",
                "type": "application/pdf",
                "size": 3168705,
                "path": "Publication:Kehrer-2010-mom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-Draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 971,
                "name": "Kehrer-2010-mom-image.jpg",
                "type": "image/jpeg",
                "size": 132720,
                "path": "Publication:Kehrer-2010-mom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2010-mom-Slides.pdf",
                "type": "application/pdf",
                "size": 1464998,
                "path": "Publication:Kehrer-2010-mom",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/Kehrer-2010-mom-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Kehrer-2010-mom/",
        "__class": "Publication"
    },
    {
        "id": "Solteszova-2009-VQN",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Queries in Neuronal Data Exploration",
        "date": "2010-06",
        "abstract": "The major goal of neuroscientists’ work is to explain specific behavior of living\r\nbeings, especially humans. However, human behavioral traits are complex and\r\ndifficult to comprehend. For this purpose, the researchers explore the anatomy\r\nand morphology of neuronal circuits of simpler species to identify their meaning\r\nand functionality. The fruit fly Drosophila melanogaster is a favorite organism\r\nin neurobiology research because it facilitates studies of complex systems on a\r\nsimple model. For this purpose, large databases of neuronal structures acquired\r\nby microscopy scans were built and adapted for computer-aided exploration and\r\nvisualization. Commodity products feature standard visualization techniques tailored\r\nfor exploration of biological structures. However, orientation in large collections\r\nof structures still poses a problem. Traditional table-view database interfaces\r\nallow filtering of items and accessing known subsets of data, but do not support\r\nselection based on spatial relationships.\r\nIn this thesis, we address this problem in the following way. We describe a system\r\nwhich facilitates visual exploration of a large collection of neuroanatomical\r\nstructures. We combined standard visualization techniques with a novel visual\r\napproach for exploration and queries. Our system provides three basic types of\r\nqueries. Path queries use an intuitive sketching interface and give access to structures\r\nlocated in the proximity of the sketched path. Object queries select objects\r\nbased on their mutual spatial distance. Semantic queries allow fast browsing using\r\nsemantic relationships stored in the database. The system was designed in an interdisciplinary\r\ncollaboration with domain experts, who affirmed that availability\r\nof such a system would be very useful for their research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            896
        ],
        "diploma_examina": "2009",
        "supervisor": [
            166,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Solteszova-2009-VQN-Thesis.pdf",
                "type": "application/pdf",
                "size": 60640465,
                "path": "Publication:Solteszova-2009-VQN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/Solteszova-2009-VQN-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/Solteszova-2009-VQN-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Solteszova-2009-VQN/",
        "__class": "Publication"
    },
    {
        "id": "solteszova-2010-MOS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Multidirectional Occlusion Shading Model for Direct Volume Rendering",
        "date": "2010-06",
        "abstract": "In this paper, we present a novel technique which simulates directional light scattering for more realistic interactive\nvisualization of volume data. Our method extends the recent directional occlusion shading model by enabling\nlight source positioning with practically no performance penalty. Light transport is approximated using a tilted\ncone-shaped function which leaves elliptic footprints in the opacity buffer during slice-based volume rendering.\nWe perform an incremental blurring operation on the opacity buffer for each slice in front-to-back order. This\nbuffer is then used to define the degree of occlusion for the subsequent slice. Our method is capable of generating\nhigh-quality soft shadowing effects, allows interactive modification of all illumination and rendering parameters,\nand requires no pre-computation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 1112,
            "name": "solteszova-2010-MOS-Image.jpg",
            "type": "image/jpeg",
            "size": 106005,
            "path": "Publication:solteszova-2010-MOS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            896,
            616,
            161,
            171
        ],
        "date_from": "2010-06-09",
        "date_to": "2010-06-11",
        "event": "EuroVis 2010",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            896
        ],
        "number": "3",
        "pages_from": "883",
        "pages_to": "891",
        "volume": "29",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "global illumination",
            "volume rendering",
            "shadows",
            "optical model"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01695.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Multidirectional Occlusion Shading Model for Direct Volume Rendering",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 1112,
                "name": "solteszova-2010-MOS-Image.jpg",
                "type": "image/jpeg",
                "size": 106005,
                "path": "Publication:solteszova-2010-MOS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "solteszova-2010-MOS-Paper.pdf",
                "type": "application/pdf",
                "size": 2580717,
                "path": "Publication:solteszova-2010-MOS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Paper:thumb{{size}}.png"
            },
            {
                "description": "Demonstration",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "solteszova-2010-MOS-Video.avi",
                "type": "video/x-msvideo",
                "size": 2787260,
                "path": "Publication:solteszova-2010-MOS",
                "preview_name": "solteszova-2010-MOS-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 38516,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/solteszova-2010-MOS-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/solteszova-2010-MOS/",
        "__class": "Publication"
    },
    {
        "id": "bagar2010",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Layered Particle-Based Fluid Model for Real-Time Rendering of Water",
        "date": "2010-06",
        "abstract": "We present a physically based real-time water simulation and rendering method that brings volumetric foam to the real-time domain, significantly increasing the realism of dynamic fluids. We do this by combining a particle-based fluid model that is capable of accounting for the formation of foam with a layered rendering approach that is able to account for the volumetric properties of water and foam. Foam formation is simulated through Weber number thresholding. For rendering, we approximate the resulting water and foam volumes by storing their respective boundary surfaces in depth maps. This allows us to calculate the attenuation of light rays that pass through these volumes very efficiently. We also introduce an adaptive curvature flow filter that produces consistent fluid surfaces from particles independent of the viewing distance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "layers",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1283,
            "image_height": 462,
            "name": "bagar2010-layers.png",
            "type": "image/png",
            "size": 281427,
            "path": "Publication:bagar2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-layers.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-layers:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            724,
            452,
            193
        ],
        "date_from": "2010-06-28",
        "date_to": "2010-06-30",
        "event": "Eurographics Symposium on Rendering 2010",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceedings EGSR 2010)",
        "lecturer": [
            724
        ],
        "location": "Saarbrücken",
        "number": "4",
        "pages_from": "1383",
        "pages_to": "1389",
        "volume": "29",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2010.01734.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bagar2010-.ppt",
                "type": "application/vnd.ms-office",
                "size": 29901824,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "compositing",
                "filetitle": "compositing",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "bagar2010-compositing.png",
                "type": "image/png",
                "size": 1937623,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-compositing.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-compositing:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bagar2010-draft.pdf",
                "type": "application/pdf",
                "size": 22227964,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "layers",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1283,
                "image_height": 462,
                "name": "bagar2010-layers.png",
                "type": "image/png",
                "size": 281427,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-layers.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-layers:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "result",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "bagar2010-result.jpg",
                "type": "image/jpeg",
                "size": 553855,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-result.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-result:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "steps",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3523,
                "image_height": 2165,
                "name": "bagar2010-steps.png",
                "type": "image/png",
                "size": 4127736,
                "path": "Publication:bagar2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-steps.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-steps:thumb{{size}}.png"
            },
            {
                "description": "video",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1164,
                "preview_image_height": 720,
                "name": "bagar2010-video.avi",
                "type": "video/x-msvideo",
                "size": 45972544,
                "path": "Publication:bagar2010",
                "preview_name": "bagar2010-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 13684,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/bagar2010-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bagar2010/",
        "__class": "Publication"
    },
    {
        "id": "Balabanian-2010-IIV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Illustrative Visualization of Hierarchical Volume Data",
        "date": "2010-06",
        "abstract": "In scientific visualization the underlying data often has an inherent\nabstract and hierarchical structure. Therefore, the same dataset\ncan simultaneously be studied with respect to its characteristics in\nthe three-dimensional space and in the hierarchy space. Often both\ncharacteristics are equally important to convey. For such scenarios\nwe explore the combination of hierarchy visualization and scientific\nvisualization, where both data spaces are effectively integrated.\nWe have been inspired by illustrations of species evolutions where\nhierarchical information is often present. Motivated by these traditional\nillustrations, we introduce integrated visualizations for hierarchically\norganized volumetric datasets. The hierarchy data is\ndisplayed as a graph, whose nodes are visually augmented to depict\nthe corresponding 3D information. These augmentations include\nimages due to volume raycasting, slicing of 3D structures, and indicators\nof structure visibility from occlusion testing. New interaction\nmetaphors are presented that extend visualizations and interactions,\ntypical for one visualization space, to control visualization parameters\nof the other space. Interaction on a node in the hierarchy influences\nvisual representations of 3D structures and vice versa. We\nintegrate both the abstract and the scientific visualizations into one\nview which avoids frequent refocusing typical for interaction with\nlinked-view layouts. We demonstrate our approach on different volumetric\ndatasets enhanced with hierarchical information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1417,
            "image_height": 1313,
            "name": "Balabanian-2010-IIV-image.jpg",
            "type": "image/jpeg",
            "size": 197080,
            "path": "Publication:Balabanian-2010-IIV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673,
            171,
            166
        ],
        "booktitle": "Proceedings of Graphics Interface 2010",
        "date_from": "2010-05-31",
        "date_to": "2010-06-02",
        "lecturer": [
            673
        ],
        "location": "Ottawa, Ontario, Canada",
        "pages_from": "137",
        "pages_to": "144",
        "research_areas": [
            "IllVis",
            "MedVis"
        ],
        "keywords": [
            "visualization, volume data, hierarchical"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1417,
                "image_height": 1313,
                "name": "Balabanian-2010-IIV-image.jpg",
                "type": "image/jpeg",
                "size": 197080,
                "path": "Publication:Balabanian-2010-IIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Balabanian-2010-IIV-Paper.pdf",
                "type": "application/pdf",
                "size": 3410109,
                "path": "Publication:Balabanian-2010-IIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/Balabanian-2010-IIV-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-IIV/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2010-ISM",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Isosurface Similarity Maps",
        "date": "2010-06",
        "abstract": "In this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Isosurface\r\nsimilarity maps present structural information of a volume data set by depicting similarities between\r\nindividual isosurfaces quantified by a robust information-theoretic measure. Unlike conventional histograms, they\r\nare not based on the frequency of isovalues and/or derivatives and therefore provide complementary information.\r\nWe demonstrate that this new representation can be used to guide transfer function design and visualization parameter\r\nspecification. Furthermore, we use isosurface similarity to develop an automatic parameter-free method\r\nfor identifying representative isovalues. Using real-world data sets, we show that isosurface similarity maps can be a useful addition to conventional classification techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Isosurface similarity map with two isovalues highlighted",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "bruckner-2010-ISM-Image.png",
            "type": "image/png",
            "size": 143783,
            "path": "Publication:bruckner-2010-ISM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            196
        ],
        "date_from": "2010-06-09",
        "date_to": "2010-06-11",
        "event": "EuroVis 2010",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            161
        ],
        "location": "Bordeaux, France",
        "note": "EuroVis 2010 Best Paper Award",
        "number": "3",
        "pages_from": "773",
        "pages_to": "782",
        "volume": "29",
        "research_areas": [],
        "keywords": [
            "isosurfaces",
            "volume visualization",
            "mutual information",
            "histograms"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01689.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Isosurface similarity map with two isovalues highlighted",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "bruckner-2010-ISM-Image.png",
                "type": "image/png",
                "size": 143783,
                "path": "Publication:bruckner-2010-ISM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2010-ISM-Paper.pdf",
                "type": "application/pdf",
                "size": 3842215,
                "path": "Publication:bruckner-2010-ISM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Paper:thumb{{size}}.png"
            },
            {
                "description": "Interactive demonstration",
                "filetitle": "Video 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1028,
                "preview_image_height": 512,
                "name": "bruckner-2010-ISM-Video 1.avi",
                "type": "video/x-msvideo",
                "size": 7498410,
                "path": "Publication:bruckner-2010-ISM",
                "preview_name": "bruckner-2010-ISM-Video 1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 11825,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 1.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 1:video.mp4"
            },
            {
                "description": "Similarity-Enhanced Isosurface Visualization",
                "filetitle": "Video 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1220,
                "preview_image_height": 674,
                "name": "bruckner-2010-ISM-Video 2.avi",
                "type": "video/x-msvideo",
                "size": 18936360,
                "path": "Publication:bruckner-2010-ISM",
                "preview_name": "bruckner-2010-ISM-Video 2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 27786,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 2.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 2:video.mp4"
            },
            {
                "description": "Similarity-Based Isovalue Remapping. Left (blue): Conventional linear mapping. Right (red): Similarity-based mapping.",
                "filetitle": "Video 3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1220,
                "preview_image_height": 674,
                "name": "bruckner-2010-ISM-Video 3.avi",
                "type": "video/x-msvideo",
                "size": 28243936,
                "path": "Publication:bruckner-2010-ISM",
                "preview_name": "bruckner-2010-ISM-Video 3:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 44043,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 3.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/bruckner-2010-ISM-Video 3:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2010-eventlineview",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Event Line View: Interactive Visual Analysis of Irregular Time-dependent Data",
        "date": "2010-06",
        "abstract": "In this paper we present a novel approach to visualize ir-\r\nregularly occurring events. We introduce the event line view designed\r\nspeci¯cally for such events data (a subset of time dependent data). The\r\nevent line view is integrated in a coordinated multiple views (CMV)\r\nsystem and linked with other conventional views to support interactive\r\nvisual analysis. The main idea is to analyze events relative to two cat-\r\negorical attributes from a multidimensional multivariate dataset. Since\r\nwe are interested in the categorical dimension we have also integrated\r\nand linked the tag cloud view in the CMV system. To the best of our\r\nknowledge this is the ¯rst integration of the tag cloud view in a CMV\r\nsystem. The tag cloud view can depict a ratio of the selected items versus\r\nthe non-selected items.\r\nThe proposed approach is illustrated using the VAST Challenge 2008\r\nGeo-Spatial data set that contains data on interdiction or landing of ille-\r\ngal immigrants in the USA. It is a multivariate multidimensional dataset\r\nwith irregular events that illustrates the potential and capabilities of the\r\nproposed approach and the developed CMV system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            748,
            581,
            190,
            885
        ],
        "booktitle": "Smart Graphics 2010",
        "date_from": "2010-06-24",
        "date_to": "2010-06-26",
        "lecturer": [
            235
        ],
        "location": "Banff, Canada",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analysis",
            "Coordinated Multiple Views",
            "Tag Cloud",
            "Events in Time"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2010-eventlineview-Paper.pdf",
                "type": "application/pdf",
                "size": 873565,
                "path": "Publication:matkovic-2010-eventlineview",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/matkovic-2010-eventlineview-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/matkovic-2010-eventlineview-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/matkovic-2010-eventlineview/",
        "__class": "Publication"
    },
    {
        "id": "sikachev_peter_2010_STLCI",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "STL Containers Inside",
        "date": "2010-05-25",
        "abstract": "STL containers are discussed in genereal. Such topics as performance, safety and memory consumption are discussed on the example of the most popular containers (vector, list, set, map)",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Title Figure",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 510,
            "image_height": 253,
            "name": "sikachev_peter_2010_STLCI-Title Figure.png",
            "type": "image/png",
            "size": 26533,
            "path": "Publication:sikachev_peter_2010_STLCI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-Title Figure.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-Title Figure:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864
        ],
        "event": "Software Engineering Seminar",
        "lecturer": [
            864
        ],
        "location": "TUW",
        "research_areas": [],
        "keywords": [
            "software engineering",
            "STL",
            "containers"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev_peter_2010_STLCI-Presentation.ppt",
                "type": "",
                "size": 1573376,
                "path": "Publication:sikachev_peter_2010_STLCI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-Presentation.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Title Figure",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 510,
                "image_height": 253,
                "name": "sikachev_peter_2010_STLCI-Title Figure.png",
                "type": "image/png",
                "size": 26533,
                "path": "Publication:sikachev_peter_2010_STLCI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-Title Figure.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-Title Figure:thumb{{size}}.png"
            },
            {
                "description": "Seminar Video Capture (wmv)",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "sikachev_peter_2010_STLCI-video.wmv",
                "type": "text/plain",
                "size": 19112330,
                "path": "Publication:sikachev_peter_2010_STLCI",
                "preview_name": "sikachev_peter_2010_STLCI-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 28780,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/sikachev_peter_2010_STLCI-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev_peter_2010_STLCI/",
        "__class": "Publication"
    },
    {
        "id": "reisner-2010-ind",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive reconstruction of industrial sites using parametric models",
        "date": "2010-05",
        "abstract": "We present a new interactive modeling technique for reconstructing\n3D objects from multiple images. We specifically address the\nproblems that arise in industrial environments during camera orientation,\nimage segmentation and modeling. An accurate camera\norientation is ensured by using coded markers and surveyed points\nfrom a total station. Interactive segmentations of edges and regions\nin the images are used as input for fitting parametric models to the\nscene. We provide an intuitive interface which allows modeling artificial\nobjects without having extensive knowledge about 3D modeling\nor photogrammetry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1178,
            "image_height": 867,
            "name": "reisner-2010-ind-image.png",
            "type": "image/png",
            "size": 967045,
            "path": "Publication:reisner-2010-ind",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            204,
            190
        ],
        "booktitle": "Proceedings of 26th Spring Conference on Computer Graphics  (SCCG 2010)",
        "date_from": "2010-05-13",
        "date_to": "2010-05-15",
        "editor": "Helwig Hauser , Reinhard Klein",
        "isbn": "978-80-223-2644-5",
        "lecturer": [
            847
        ],
        "location": "Budmerice, Slovak Republic",
        "pages_from": "119",
        "pages_to": "126",
        "publisher": "Comenius University, Bratislava",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "multi-view reconstruction",
            "model fitting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1178,
                "image_height": 867,
                "name": "reisner-2010-ind-image.png",
                "type": "image/png",
                "size": 967045,
                "path": "Publication:reisner-2010-ind",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2010-ind-paper.pdf",
                "type": "application/pdf",
                "size": 4382037,
                "path": "Publication:reisner-2010-ind",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/reisner-2010-ind-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-ind/",
        "__class": "Publication"
    },
    {
        "id": "ritzberger-2010-nar",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Noise and Artifact Reduction in Interactive Volume Renderings of Electron-Microscopy Data-Sets",
        "date": "2010-05",
        "abstract": "Connectomics is an emerging area of neuroscience that is concerned with understanding\r\nthe neural algorithms embeded in the neural circuits of the brain by tracking\r\nneurons and studying their connections. From all the available scanning technologies\r\nonly electron microscopy (EM) can provide sufficient scanning resolutions\r\nin order to identify neural processes. EM data sets, however, suffer from bad\r\nsignal-to-noise ratio and artifacts introduced to the data set during the sectioning\r\nand digital reconstruction process of the scanned specimen. In this thesis we present\r\ntwo different approaches that generally allow noise and artifact reduction on volumetric\r\ndata sets and which can be used to increase the visual quality of direct\r\nvolume renderings (DVRs) of EM data sets. The fist approach we developed was an\r\ninteractive, on-the-fly filtering framework that allows a user to filter even very large\r\nvolume data set with resizable 3D filter-kernels. For comparison, we implemented\r\nan average, a Gaussian, and a bilateral filter. The second approach we investigated\r\nis a semi-automatic one that allows a user to select regions within a data set. Similar\r\nregions are then retrieved by our algorithm using multiresolution histograms and\r\nthe user can remove these regions from the rendering. By selecting and hiding\r\nregions containing noise or artifacts, the desired noise- and artifact-reduction can be\r\nachieved. We are going to show that both methods we investigated are suitable for\r\nremoving noise and artifacts in EM data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 398,
            "image_height": 259,
            "name": "ritzberger-2010-nar-image.jpg",
            "type": "image/jpeg",
            "size": 65360,
            "path": "Publication:ritzberger-2010-nar",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            870
        ],
        "diploma_examina": "2010-05-15",
        "supervisor": [
            166,
            226,
            818
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 398,
                "image_height": 259,
                "name": "ritzberger-2010-nar-image.jpg",
                "type": "image/jpeg",
                "size": 65360,
                "path": "Publication:ritzberger-2010-nar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ritzberger-2010-nar-paper.pdf",
                "type": "application/pdf",
                "size": 6081262,
                "path": "Publication:ritzberger-2010-nar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/ritzberger-2010-nar-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ritzberger-2010-nar/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2010-tof",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tiling of Ortho-Rectified Façade Images",
        "date": "2010-05",
        "abstract": "Typical building facades consist of regular structures such as windows arranged in a predominantly grid-like manner. We propose a method that handles precisely such facades and assumes that there must be horizontal and vertical repetitions of similar patterns. Using a Monte Carlo sampling approach, this method is able to segment repetitive patterns on orthogonal images along the axes even\nif the pattern is partially occluded. Additionally, it is very fast and\ncan be used as a preprocessing step for finer segmentation stages.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 755,
            "image_height": 593,
            "name": "musialski-2010-tof-image.jpg",
            "type": "image/jpeg",
            "size": 86158,
            "path": "Publication:musialski-2010-tof",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            846,
            228,
            194,
            190
        ],
        "booktitle": "Proceedings of 26th Spring Conference on Computer Graphics (SCCG 2010)",
        "date_from": "2010-05-13",
        "date_to": "2010-05-15",
        "editor": "Helwig Hauser , Reinhard Klein",
        "isbn": "978-80-223-2644-5",
        "lecturer": [
            844
        ],
        "location": "Budmerice, Slovak Republic",
        "publisher": "Comenius University, Bratislava",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "image processing",
            "facade segmentation",
            "urban reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2010-tof-draft.pdf",
                "type": "application/pdf",
                "size": 3173051,
                "path": "Publication:musialski-2010-tof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 755,
                "image_height": 593,
                "name": "musialski-2010-tof-image.jpg",
                "type": "image/jpeg",
                "size": 86158,
                "path": "Publication:musialski-2010-tof",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/musialski-2010-tof-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/musialski-2010-tof/",
        "__class": "Publication"
    },
    {
        "id": "pr10",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Curved Reflections in Large Point Clouds",
        "date": "2010-05",
        "abstract": "In the field of real-time rendering, computer graphics observes a continuously growing power of visualizing of scenes of continuously growing complexity. In the past few years, a number of rendering techniques have been developed that let the quality of the rendered images converge towards photorealism. Especially in the field of realistic scene illumination, Global Illumination (GI) techniques represent an important field of research. Previous to this work, for the first time we have applied a GI algorithm also to point clouds, which enables us to achieve realistic illumination of diffuse and glossy objects in real-time. This thesis elevates the power of visualization of this GI-Renderer to the next level. For the first time, it implements a realistic, physically based rendering of mirroring surfaces also for point clouds. Current real-time approaches addressing curved mirroring surfaces in polygon scenes either are extremely imprecise or cannot handle each arbitrary type of surface. Especially concave surfaces represent a significant difficulty for current physically based methods. Up to now, physically correct mirror reflections on complex surfaces can only be produced by offline algorithms.\r\nWe introduce a novel rendering technique called \"Screen-space curved reflections\", which enables us to produce physically correct mirror reflections on arbitrarily complex surfaces. Our method bases on the approach, for each point in the scene to find the pixel in the framebuffer that contains its reflecting surface point. This is achieved by the application of a fast 2D root finding in a new error function called \"mirror-space error function\". Although our method raises high demands on the hardware, we are able to render common scenes at interactive frame rates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "mirroring Stanford Bunny point cloud rendered with SSCR",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 399,
            "image_height": 360,
            "name": "pr10-image.png",
            "type": "image/png",
            "size": 257065,
            "path": "Publication:pr10",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "mirror space",
            "interactive reflections",
            "curved mirrors",
            "point clouds"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "mirroring Stanford Bunny point cloud rendered with SSCR",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 399,
                "image_height": 360,
                "name": "pr10-image.png",
                "type": "image/png",
                "size": 257065,
                "path": "Publication:pr10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pr10-poster.pdf",
                "type": "application/pdf",
                "size": 1047526,
                "path": "Publication:pr10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "pr10-thesis.pdf",
                "type": "application/pdf",
                "size": 13005654,
                "path": "Publication:pr10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/pr10-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/pr10/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2010-ps",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Skeletons: Kinematic Extensions to CGA-Shape Grammars",
        "date": "2010-05",
        "abstract": "Procedural modeling for architectural scenes was as yet limited to static objects only. We introduce a novel extension layer for shape grammars which creates a skeletal system for posing and interactive manipulation of generated models. Various models can be derived with the same set of parametrized rules for geometric operations. Separation of geometry generation and pose synthesis improves design efficiency and reusability. Moreover, by formal analysis of\nproduction rules we show how to efficiently update complex kinematic\nhierarchies created by the skeletons, allowing state-of-the-art interactive visual rule editing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 650,
            "name": "ilcik-2010-ps-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 585054,
            "path": "Publication:ilcik-2010-ps",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303,
            822,
            190,
            193
        ],
        "booktitle": "Proceedings of the Spring Conference on Computer Graphics 2010",
        "date_from": "2010-05-13",
        "date_to": "2010-05-15",
        "isbn": "978-80-223-2644-5",
        "lecturer": [
            1303
        ],
        "pages_from": "177",
        "pages_to": "184",
        "publisher": "Comenius University, Bratislava",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling",
            "shape grammars",
            "architecture",
            "skeletal animation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2010-ps-draft.pdf",
                "type": "application/pdf",
                "size": 1475663,
                "path": "Publication:ilcik-2010-ps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 650,
                "name": "ilcik-2010-ps-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 585054,
                "path": "Publication:ilcik-2010-ps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation-odp",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2010-ps-presentation-odp.odp",
                "type": "application/octet-stream",
                "size": 4056534,
                "path": "Publication:ilcik-2010-ps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-odp.odp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "presentation-pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2010-ps-presentation-pdf.pdf",
                "type": "application/pdf",
                "size": 1490536,
                "path": "Publication:ilcik-2010-ps",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/ilcik-2010-ps-presentation-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ilcik-2010-ps/",
        "__class": "Publication"
    },
    {
        "id": "major-2010-mrf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Markov Random Field Based Structure Localisation of Vertebrae for 3D-Segmentation of the Spine in CT Volume Data",
        "date": "2010-05",
        "abstract": "Medical Image Processing is a growing field in medicine and plays an important\r\nrole in medical decision making. Computer-based segmentation of anatomies in\r\ndata made by imaging modalities supports clinicians and speeds up their diagnosis\r\nmaking compared to doing it manually. Computed Tomography (CT) is an imaging\r\nmodality for slice-wise three dimensional reconstruction of the human body in the\r\nform of volumetric data which is especially applicable for imaging of bony structures\r\nand so for the vertebral column. Most bony structures, such as vertebrae, are\r\ncharacterised by complex shape and texture appearances which turns its segmentation\r\ninto a difficult task. Model-based segmentation approaches are promising techniques\r\nto cope with variations in form and texture of the anatomy of interest. This is\r\ndone by incorporating information about shape and texture appearance gained from\r\nan imaging modality in a model. The model can then be applied to segment the object\r\nof interest in target data, however most of the model-based approaches need a\r\nmodel intialisation for a fast and reliable segmentation of the object of interest.\r\nThis thesis was motivated by novel works on fast anatomical structure localisation\r\nwith Markov Random Fields (MRFs) and focuses on the sparse structure localisation\r\nof single vertebrae in CT scans for a subsequent model initialisation of\r\nmore sophisticated segmentation algorithms. A MRF based model of appearance,\r\nwhich employs local information in regions around anatomical landmarks and geometrical\r\ninformation through connections between adjacent landmarks, is built on\r\nvolumetric CT datasets of lumbar vertebrae. The MRF based model is built on a 6\r\nlandmark configuration in vertebra volumetric data and is additionally matched with\r\ntarget data. This is done by finding a best fit MRF matching by the Max-sum algorithm\r\namong feature points found by a decision tree based feature detection algorithm\r\ncalled probabilistic boosting tree (PBT). Anatomical landmark regions are described\r\nby vector spin-images and shape index histograms. Adjacency information\r\nis extracted by Delaunay tetrahedralisation where distances and gradient-related\r\nangles describe connections between adjacent regions. The results on single lumbar\r\nvertebra CT scans show that the MRF approach is applicable on volumetric CT\r\ndatasets with an accuracy enough for supporting more sophisticated segmentation\r\nalgorithms such as Active Appearance Models (AAMs).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 151,
            "image_height": 341,
            "name": "major-2010-mrf-image.jpg",
            "type": "image/jpeg",
            "size": 30008,
            "path": "Publication:major-2010-mrf",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            863
        ],
        "diploma_examina": "2010-05-11",
        "supervisor": [
            166,
            231
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 151,
                "image_height": 341,
                "name": "major-2010-mrf-image.jpg",
                "type": "image/jpeg",
                "size": 30008,
                "path": "Publication:major-2010-mrf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "major-2010-mrf-paper.pdf",
                "type": "application/pdf",
                "size": 4432911,
                "path": "Publication:major-2010-mrf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/major-2010-mrf-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/major-2010-mrf/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2010-SES",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "volumeshop 101",
        "date": "2010-04-28",
        "abstract": "For the integrated examples (startable using the little VolumeShop icon on the respective slides) to run, you need to modify \"volumeshop.cmd\" and point it to a compiled VolumeShop-Version (64-Bit).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "event": "Software Engineering Seminar",
        "lecturer": [
            161
        ],
        "location": "Vancouver, Vienna",
        "research_areas": [],
        "keywords": [
            "Tutorial",
            "VolumeShop"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "presentation slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2010-SES-slides.pptx",
                "type": "application/zip",
                "size": 902062,
                "path": "Publication:bruckner-2010-SES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-SES/bruckner-2010-SES-slides.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "archive containing slides and volumeshop sessions",
                "filetitle": "tutorials",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2010-SES-tutorials.zip",
                "type": "application/zip",
                "size": 18651566,
                "path": "Publication:bruckner-2010-SES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-SES/bruckner-2010-SES-tutorials.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-SES/",
        "__class": "Publication"
    },
    {
        "id": "Mattausch-2010-vcr",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Computations for Real-Time Rendering in General 3D Environments",
        "date": "2010-04",
        "abstract": "Visibility computations are essential operations in computer graphics, which\nare required for rendering acceleration in the form of visibility culling, as well as for computing realistic lighting. Visibility culling, which is the main focus of this thesis, aims to provide output sensitivity by sending only visible primitives to the hardware. Regardless of the rapid development of graphics hardware, it is of crucial importance for many applications like game development or architectural design, as the demands on the hardware regarding scene complexity increase accordingly. Solving the visibility problem has been an important research topic for many years, and countless methods have been proposed. Interestingly, there are\nstill open research problems up to this day, and many algorithms are either impractical or only usable for specific scene configurations, preventing their widespread use. Visibility culling algorithms can be separated into algorithms for visibility preprocessing and online occlusion culling. Visibility computations are also required to solve complex lighting interactions in the scene, ranging from soft and hard shadows to ambient occlusion and full fledged global illumination. It is a big challenge to answer hundreds or thousands of visibility queries within a fraction\nof a second in order to reach real-time frame rates, which is one goal that we want to achieve in this thesis. The contribution of this thesis are four novel algorithms that provide solutions\nfor efficient visibility interactions in order to achieve high-quality output-sensitive real-time rendering, and are general in the sense that they work with any kind of 3D scene configuration. First we present two methods dealing with the issue of\nautomatically partitioning view space and object space into useful entities that are optimal for the subsequent visibility computations. Amazingly, this problem area was mostly ignored despite its importance, and view cells are mostly tweaked by hand in practice in order to reach optimal performance – a very time consuming task. The first algorithm specifically deals with the creation of an optimal view space partition into view cells using a cost heuristics and sparse visibility sampling. The second algorithm extends this approach to optimize both view space subdivision and object space subdivision simultaneously. Next we present a hierarchical online culling algorithm that eliminates most limitations of previous approaches, and is rendering engine friendly in the sense that it allows easy integration\nand efficient material sorting. It reduces the main problem of previous\nalgorithms – the overhead due to many costly state changes and redundant hardware occlusion queries – to a minimum, obtaining up to three times speedup over previous work. At last we present an ambient occlusion algorithm which works in screen space, and show that high-quality shading with effectively hundreds of samples per pixel is possible in real time for both static and dynamic scenes by utilizing temporal coherence to reuse samples from previous frames.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "temporal ssao on stanford dragon",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Mattausch-2010-vcr-image.png",
            "type": "image/png",
            "size": 2363943,
            "path": "Publication:Mattausch-2010-vcr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326
        ],
        "date_end": "2010-04",
        "date_start": "2005-01",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1319
        ],
        "rigorosum": "2010-04-27",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "3D rendering",
            "real-time rendering",
            "ambient occlusion",
            "visibility",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "temporal ssao on happy buddha",
                "filetitle": "buddha",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 458,
                "image_height": 722,
                "name": "Mattausch-2010-vcr-buddha.png",
                "type": "image/png",
                "size": 994420,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-buddha.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-buddha:thumb{{size}}.png"
            },
            {
                "description": "temporal ssao convergence on  animated character",
                "filetitle": "convergence",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 422,
                "image_height": 535,
                "name": "Mattausch-2010-vcr-convergence.png",
                "type": "image/png",
                "size": 678997,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-convergence.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-convergence:thumb{{size}}.png"
            },
            {
                "description": "Our engine combines occlusion culling + SSAO + shadows",
                "filetitle": "engine",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 873,
                "image_height": 728,
                "name": "Mattausch-2010-vcr-engine.png",
                "type": "image/png",
                "size": 799640,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-engine.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-engine:thumb{{size}}.png"
            },
            {
                "description": "render cost visualization (bsp)",
                "filetitle": "image-viewcells-bsp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 869,
                "image_height": 710,
                "name": "Mattausch-2010-vcr-image-viewcells-bsp.png",
                "type": "image/png",
                "size": 15680,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image-viewcells-bsp.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image-viewcells-bsp:thumb{{size}}.png"
            },
            {
                "description": "render cost visualization (our method)",
                "filetitle": "image-viewcells-vsp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 869,
                "image_height": 709,
                "name": "Mattausch-2010-vcr-image-viewcells-vsp.png",
                "type": "image/png",
                "size": 17096,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image-viewcells-vsp.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image-viewcells-vsp:thumb{{size}}.png"
            },
            {
                "description": "temporal ssao on stanford dragon",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Mattausch-2010-vcr-image.png",
                "type": "image/png",
                "size": 2363943,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "phd",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2010-vcr-phd.pdf",
                "type": "application/pdf",
                "size": 42468130,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-phd.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-phd:thumb{{size}}.png"
            },
            {
                "description": "given version",
                "filetitle": "slides-defense",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2010-vcr-slides-defense.pptx",
                "type": "application/zip",
                "size": 28890774,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-slides-defense.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "snapshot in vienna",
                "filetitle": "vienna",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Mattausch-2010-vcr-vienna.png",
                "type": "image/png",
                "size": 2363943,
                "path": "Publication:Mattausch-2010-vcr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-vienna.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/Mattausch-2010-vcr-vienna:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Mattausch-2010-vcr/",
        "__class": "Publication"
    },
    {
        "id": "Ladstaedter-2010-exp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploration of Climate Data Using Interactive Visualization",
        "date": "2010-04",
        "abstract": "In atmospheric and climate research, the increasing amount of data available from climate models and observations provides new challenges for data analysis. We present interactive visual exploration as an innovative approach to handle large datasets. Visual exploration does not require any previous knowledge about the data as is usually the case with classical statistics. It facilitates iterative and interactive browsing of the parameter space in order to quickly understand the data characteristics, to identify deficiencies, to easily focus on interesting features, and to come up with new hypotheses about the data. These properties extend the common statistical treatment of data, and provide a fundamentally different approach. We demonstrate the potential of this technology by exploring atmospheric climate data from different sources including reanalysis datasets, climate models, and radio occultation satellite data. Results are compared to those from classical statistics revealing the complementary advantages of visual exploration. Combining both, the analytical precision of classical statistics and the holistic power of interactive visual exploration, the usual work flow of studying climate data can be enhanced.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 504,
            "name": "Ladstaedter-2010-exp-image.jpg",
            "type": "image/jpeg",
            "size": 72982,
            "path": "Publication:Ladstaedter-2010-exp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ladstaedter-2010-exp/Ladstaedter-2010-exp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ladstaedter-2010-exp/Ladstaedter-2010-exp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1076,
            1077,
            1078,
            1079,
            1080,
            983,
            176,
            662,
            212
        ],
        "journal": "Journal of Atmospheric and Oceanic Technology",
        "number": "4",
        "pages_from": "667",
        "pages_to": "679",
        "volume": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1175/2009JTECHA1374.1",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 504,
                "name": "Ladstaedter-2010-exp-image.jpg",
                "type": "image/jpeg",
                "size": 72982,
                "path": "Publication:Ladstaedter-2010-exp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ladstaedter-2010-exp/Ladstaedter-2010-exp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ladstaedter-2010-exp/Ladstaedter-2010-exp-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ladstaedter-2010-exp/",
        "__class": "Publication"
    },
    {
        "id": "patel-2010-SVV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Seismic Volume Visualization for Horizon Extraction",
        "date": "2010-03",
        "abstract": "Seismic horizons indicate change in rock properties and are central in geoscience interpretation. Traditional interpretation systems involve time consuming and repetitive manual volumetric seeding for horizon growing. We present a novel system for rapidly interpreting and visualizing seismic volumetric data. First we extract horizon surface-parts by preprocessing the seismic data. Then during interaction the user can assemble in realtime the horizon parts into horizons. Traditional interpretation systems use gradient-based illumination models in the rendering of the seismic volume and polygon rendering of horizon surfaces. We employ realtime gradientfree forward-scattering in the rendering of seismic volumes yielding results similar to high-quality global illumination. We use an implicit surface representation of horizons allowing for a seamless integration of horizon rendering and volume rendering. We present a collection of novel techniques constituting an interpretation and visualization system highly tailored to seismic data interpretation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 539,
            "image_height": 540,
            "name": "patel-2010-SVV-Image.jpg",
            "type": "image/jpeg",
            "size": 43839,
            "path": "Publication:patel-2010-SVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            161,
            171,
            166
        ],
        "booktitle": "Proceedings of IEEE Pacific Visualization 2010",
        "lecturer": [
            616
        ],
        "location": "Taipei, Taiwan",
        "pages_from": "73",
        "pages_to": "80",
        "research_areas": [],
        "keywords": [
            "volume visualization",
            "horizon extraction",
            "seismic data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Animation from Phong shading to forward-scattering shading",
                "filetitle": "film clip",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "patel-2010-SVV-film clip.wmv",
                "type": "text/plain",
                "size": 7541809,
                "path": "Publication:patel-2010-SVV",
                "preview_name": "patel-2010-SVV-film clip:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30704,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-film clip.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-film clip:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 539,
                "image_height": 540,
                "name": "patel-2010-SVV-Image.jpg",
                "type": "image/jpeg",
                "size": 43839,
                "path": "Publication:patel-2010-SVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel-2010-SVV-Paper.pdf",
                "type": "application/pdf",
                "size": 6450084,
                "path": "Publication:patel-2010-SVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/patel-2010-SVV-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/patel-2010-SVV/",
        "__class": "Publication"
    },
    {
        "id": "haidacher_2010_statTF",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Visualization based on Statistical Transfer-Function Spaces",
        "date": "2010-03",
        "abstract": "It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce a novel statistical transfer-function space which in the presence of noise, separates different materials in volume data sets. Our method adaptively estimates statistical properties, i.e. the mean value and the standard deviation, of the data values in the neighborhood of each sample point. These properties are used to define a transfer-function space which enables the distinction of different materials. Additionally, we present a novel approach for interacting with our new transfer-function space which enables the design of transfer functions based on statistical properties. Furthermore, we demonstrate that statistical information can be applied to enhance visual appearance in the rendering process. We compare the new method with 1D, 2D, and LH transfer functions to demonstrate its usefulness.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Brain classification",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1050,
            "image_height": 947,
            "name": "haidacher_2010_statTF-Brain classification.jpg",
            "type": "image/jpeg",
            "size": 608058,
            "path": "Publication:haidacher_2010_statTF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Brain classification.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Brain classification:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597,
            616,
            161,
            162,
            166
        ],
        "booktitle": "Proceedings of the IEEE Pacific Visualization 2010",
        "date_from": "2010-03-02",
        "date_to": "2010-03-05",
        "lecturer": [
            597
        ],
        "pages_from": "17",
        "pages_to": "24",
        "research_areas": [],
        "keywords": [
            "transfer function",
            "statistics",
            "shading",
            "noisy data",
            "classification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Brain classification",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1050,
                "image_height": 947,
                "name": "haidacher_2010_statTF-Brain classification.jpg",
                "type": "image/jpeg",
                "size": 608058,
                "path": "Publication:haidacher_2010_statTF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Brain classification.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Brain classification:thumb{{size}}.png"
            },
            {
                "description": "System in use",
                "filetitle": "Film clip",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1200,
                "preview_image_height": 800,
                "name": "haidacher_2010_statTF-Film clip.avi",
                "type": "video/x-msvideo",
                "size": 14340210,
                "path": "Publication:haidacher_2010_statTF",
                "preview_name": "haidacher_2010_statTF-Film clip:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 19755,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Film clip.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Film clip:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Film clip:video.mp4"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher_2010_statTF-Paper.pdf",
                "type": "application/pdf",
                "size": 3249151,
                "path": "Publication:haidacher_2010_statTF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/haidacher_2010_statTF-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/haidacher_2010_statTF/",
        "__class": "Publication"
    },
    {
        "id": "Grorller-2010-IVV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrated Views in Visualization",
        "date": "2010-02",
        "abstract": "Data Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity has increased tremendously. This is for example due to an increase in data size and dimensionality. New imaging modalities generate quite heterogeneous, multi-valued, multi-modal, and time-varying data. Separate views and linked views are approaches to cope with complexity, but are limited, e.g., concerning scalability. This talk will concentrate rather on integrated views as inspired by traditional illustrations. The concept of A-space is presented. It is the “space” where visualization algorithms reside. Every visualization algorithm is a unique point in A-space. Integrated visualizations can be interpreted as an “interpolation” between known algorithms. The void between algorithms can be considered as a visualization opportunity where a new point in A-space can be reconstructed and new integrated visualizations can be created. The talk will discuss several research examples which go beyond data and image fusion and achieve what can be considered algorithm fusion.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2010-02-13",
        "event": "GMSV seminar",
        "location": "KAUST, Thuwal, Saudi Arabia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Grorller-2010-IVV/",
        "__class": "Publication"
    },
    {
        "id": "Habel-2010-EIN",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Irradiance Normal Mapping",
        "date": "2010-02",
        "abstract": "Irradiance normal mapping is a method to combine two popular techniques, light mapping and normal mapping, and is used\nin games such as Half-Life 2 or Halo 3. This combination allows using low-resolution light caching on surfaces with only a few coefficients which are evaluated by normal maps to render spatial high-frequency changes in the lighting. Though there are dedicated bases for this purpose such\nas the Half-Life 2 basis, higher order basis functions such as quadratic Spherical Harmonics are needed for an accurate representation.\nHowever, a full spherical basis is not needed since the irradiance is stored on the surface of a scene.\n\nIn order to represent the irradiance signals efficiently, we propose a novel polynomial, hemispherically orthonormal basis function set that is specifically designed to carry a directional irradiance signal on the hemisphere and which makes optimal use of the number of coefficients. To compare our results with previous work, we analyze the relations and attributes of previously proposed basis systems and show that 6 coefficients are sufficient to accurately represent an irradiance signal on the hemisphere.\nTo create the necessary irradiance signals, we use Spherical Harmonics as an intermediate basis due to their fast filtering capabilities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Scene",
            "filetitle": "Scene",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 768,
            "name": "Habel-2010-EIN-Scene.png",
            "type": "image/png",
            "size": 1894585,
            "path": "Publication:Habel-2010-EIN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            193
        ],
        "booktitle": "Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2010",
        "date_from": "2010-02-29",
        "date_to": "2010-02-21",
        "isbn": "978-1-60558-939-8",
        "lecturer": [
            618
        ],
        "location": "Washington D.C.",
        "pages_from": "189",
        "pages_to": "195",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "irradiance",
            "real-time rendering",
            "normal mapping",
            "lightmap"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel-2010-EIN-paper.pdf",
                "type": "application/pdf",
                "size": 6183798,
                "path": "Publication:Habel-2010-EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-paper:thumb{{size}}.png"
            },
            {
                "description": "Scene",
                "filetitle": "Scene",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 768,
                "name": "Habel-2010-EIN-Scene.png",
                "type": "image/png",
                "size": 1894585,
                "path": "Publication:Habel-2010-EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-Scene:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel-2010-EIN-slides.ppt",
                "type": "application/vnd.ms-office",
                "size": 12477952,
                "path": "Publication:Habel-2010-EIN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/Habel-2010-EIN-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Habel-2010-EIN/",
        "__class": "Publication"
    },
    {
        "id": "weiner-2010-eud",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erstellung und Umsetzung eines didaktischen Konzeptes zur Steigerung des Sicherheitsbewusstseins im IT-Bereich",
        "date": "2010-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1737,
            "image_height": 1666,
            "name": "weiner-2010-eud-image.jpg",
            "type": "image/jpeg",
            "size": 178068,
            "path": "Publication:weiner-2010-eud",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            851
        ],
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1737,
                "image_height": 1666,
                "name": "weiner-2010-eud-image.jpg",
                "type": "image/jpeg",
                "size": 178068,
                "path": "Publication:weiner-2010-eud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weiner-2010-eud-poster.pdf",
                "type": "application/pdf",
                "size": 3144586,
                "path": "Publication:weiner-2010-eud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/weiner-2010-eud-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/weiner-2010-eud/",
        "__class": "Publication"
    },
    {
        "id": "spoerk-2010-hpgpu",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-performance GPU based Rendering for Real-Time, rigid 2D/3D-Image Registration in Radiation Oncology",
        "date": "2010-01",
        "abstract": "This thesis presents a comparison of high-speed rendering algorithms for the application in\r\n2D/3D-image registration in radiation oncology. Image guided radiation therapy (IGRT) is a\r\ntechnique for improving the treatment of cancer with ionizing radiation by adapting the treatment\r\nplan to the current situation using 2D/3D-image registration. To accelerate this procedure, also\r\nrendering of Digitally Rendered Radiographs (DRR), as a part of it, has to be performed faster.\r\nIn the context of this thesis, a GPU based wobbled splat rendering algorithm based on the work\r\nof Spoerk et al. (2007) is further improved and compared to a newly developed GPU based\r\nray casting implementation. For comparison, rendering quality and performance as well as the\r\ninfluence on the quality and performance of the overall registration process are measured and\r\nanalyzed in detail. These results show that both methods are competitive although ray casting\r\nhas in its current implementation several advantages over wobbled splat rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 435,
            "image_height": 465,
            "name": "spoerk-2010-hpgpu-image.jpg",
            "type": "image/jpeg",
            "size": 41509,
            "path": "Publication:spoerk-2010-hpgpu",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            849
        ],
        "diploma_examina": "2010-01-22",
        "supervisor": [
            166,
            977,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 435,
                "image_height": 465,
                "name": "spoerk-2010-hpgpu-image.jpg",
                "type": "image/jpeg",
                "size": 41509,
                "path": "Publication:spoerk-2010-hpgpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spoerk-2010-hpgpu-paper.pdf",
                "type": "application/pdf",
                "size": 3131846,
                "path": "Publication:spoerk-2010-hpgpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/spoerk-2010-hpgpu-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/spoerk-2010-hpgpu/",
        "__class": "Publication"
    },
    {
        "id": "piskernik-2010-eud",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erstellung und Umsetzung eines didaktischen Konzeptes zur Steigerung des Sicherheitsbewusstseins im IT-Bereich",
        "date": "2010-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1722,
            "image_height": 1669,
            "name": "piskernik-2010-eud-image.jpg",
            "type": "image/jpeg",
            "size": 141697,
            "path": "Publication:piskernik-2010-eud",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            852
        ],
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1722,
                "image_height": 1669,
                "name": "piskernik-2010-eud-image.jpg",
                "type": "image/jpeg",
                "size": 141697,
                "path": "Publication:piskernik-2010-eud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "piskernik-2010-eud-poster.pdf",
                "type": "application/pdf",
                "size": 3837079,
                "path": "Publication:piskernik-2010-eud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/piskernik-2010-eud-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/piskernik-2010-eud/",
        "__class": "Publication"
    },
    {
        "id": "maschek-2010-rts",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real time simulation of fire extinguishing scenarios",
        "date": "2010",
        "abstract": "Around the world most of fires originate from accidentially disposed glowing litter.\r\nThese fires could be easily extinguished with the right kind of training and\r\nencouragement. Since many years there are trainings for employees in fire extinguishing\r\nbut these trainings are expensive and inefficient. One way to generate\r\nsufficient training might be virtual reality. Virtual reality is used to train people\r\naround the world in the most complex tools like surgical instruments with success.\r\nThe aim of the project was to tie those worlds together.\r\nIn this thesis we try to give an overview how to train people using virtual\r\nreality. Furthermore, we explore which technology is needed to create enough\r\nrealism to immerse the user. We will discuss how we chose the technologies we\r\nused to create a system for fire extinguishing training. Then we will explain how\r\nwe implemented a system based on virtual reality methods. We tried to immerse\r\nthe user by tracking, stereo rendering and modern rendering techniques to create a\r\nconvincing output. In this system the fire spread and reaction to the extinguishing\r\nagents are calculated in real time. In addidtion, our system provides a powerful\r\ncontent pipeline to create new scenes for the training on the fly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 225,
            "name": "maschek-2010-rts-.jpg",
            "type": "image/jpeg",
            "size": 60810,
            "path": "Publication:maschek-2010-rts",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            873
        ],
        "diploma_examina": "2010",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 225,
                "name": "maschek-2010-rts-.jpg",
                "type": "image/jpeg",
                "size": 60810,
                "path": "Publication:maschek-2010-rts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "maschek-2010-rts-Paper.pdf",
                "type": "application/pdf",
                "size": 32106660,
                "path": "Publication:maschek-2010-rts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/maschek-2010-rts-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/maschek-2010-rts/",
        "__class": "Publication"
    },
    {
        "id": "mattausch-2010-var",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Algorithms for Real-Time Rendering",
        "date": "2010",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "mattausch-2010-var-.png",
            "type": "image/png",
            "size": 2363943,
            "path": "Publication:mattausch-2010-var",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326
        ],
        "isbn": "978-3-8381-1887-1",
        "pages": "212",
        "publisher": "Suedwestdeutscher Verlag fuer Hochschulschriften",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "occlusion culling ",
            "ambient occlusion",
            "visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "mattausch-2010-var-.png",
                "type": "image/png",
                "size": 2363943,
                "path": "Publication:mattausch-2010-var",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/mattausch-2010-var-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/mattausch-2010-var/",
        "__class": "Publication"
    },
    {
        "id": "MAYER-2010-MTX",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Megatexture",
        "date": "2010",
        "abstract": "To generate high-quality output realtime-rendering applications or games commonly need more\r\ntexture data than can be simultaneously held in graphics- or even in main-memory, using virtual texturing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "result",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1032,
            "image_height": 698,
            "name": "MAYER-2010-MTX-result.png",
            "type": "image/png",
            "size": 1263812,
            "path": "Publication:MAYER-2010-MTX",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            796
        ],
        "date_end": "2010-02-15",
        "date_start": "2009-07-15",
        "matrikelnr": "0126505",
        "supervisor": [
            193,
            326
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "documentation",
                "filetitle": "doc",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MAYER-2010-MTX-doc.pdf",
                "type": "application/pdf",
                "size": 95724,
                "path": "Publication:MAYER-2010-MTX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-doc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-doc:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "result",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1032,
                "image_height": 698,
                "name": "MAYER-2010-MTX-result.png",
                "type": "image/png",
                "size": 1263812,
                "path": "Publication:MAYER-2010-MTX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/MAYER-2010-MTX-result:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/MAYER-2010-MTX/",
        "__class": "Publication"
    },
    {
        "id": "NIEDERREITER-2010-SIM",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Similarity Detection for Urban Modeling",
        "date": "2010",
        "abstract": "This application is a basic graphical user interface framework for experiments on\narchitectural meshes. The meshes are displayed in the form of wires or polygons inside the\nwindow and can be modified using custom controls in the control box at the left border of the\nwindow. By the support of OGRE3D, arbitrary information concerning the displayed meshes\ncan be overlaid at 3D coordinates. The mesh can be translated and rotated using the mouse\nand keyboard.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 753,
            "image_height": 557,
            "name": "NIEDERREITER-2010-SIM-.png",
            "type": "image/png",
            "size": 129504,
            "path": "Publication:NIEDERREITER-2010-SIM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            792
        ],
        "date_end": "2010-02-25",
        "date_start": "2009-07-07",
        "matrikelnr": "0726258",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "urban modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 753,
                "image_height": 557,
                "name": "NIEDERREITER-2010-SIM-.png",
                "type": "image/png",
                "size": 129504,
                "path": "Publication:NIEDERREITER-2010-SIM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-:thumb{{size}}.png"
            },
            {
                "description": "developer documentation",
                "filetitle": "devdoc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "NIEDERREITER-2010-SIM-devdoc.pdf",
                "type": "application/pdf",
                "size": 183601,
                "path": "Publication:NIEDERREITER-2010-SIM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-devdoc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-devdoc:thumb{{size}}.png"
            },
            {
                "description": "Accompanying bachelor thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "NIEDERREITER-2010-SIM-thesis.pdf",
                "type": "application/pdf",
                "size": 4859491,
                "path": "Publication:NIEDERREITER-2010-SIM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-thesis:thumb{{size}}.png"
            },
            {
                "description": "user documentation",
                "filetitle": "userdoc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "NIEDERREITER-2010-SIM-userdoc.pdf",
                "type": "application/pdf",
                "size": 272137,
                "path": "Publication:NIEDERREITER-2010-SIM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-userdoc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/NIEDERREITER-2010-SIM-userdoc:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/NIEDERREITER-2010-SIM/",
        "__class": "Publication"
    },
    {
        "id": "PARZER-2010-STELL",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stellarium",
        "date": "2010",
        "abstract": "Siehe:\r\nhttp://www.cg.tuwien.ac.at/courses/projekte/ve/Stellarium_COLLADA.html\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            854,
            855
        ],
        "date_start": "2010-03-25",
        "matrikelnr": "0726680",
        "supervisor": [
            193,
            222
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/PARZER-2010-STELL/",
        "__class": "Publication"
    },
    {
        "id": "preiner_2010_GIPC",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Global Illumination for Point Cloud Scenes",
        "date": "2010",
        "abstract": "In this paper we present a real-time global illumination approach for illuminating scenes containing large point clouds. Our approach is based on the distribution of Virtual Point Lights (VPLs) in the scene, which are then used for the indirect illumination of the visible surfaces, using Imperfect Shadow Maps for visibility calculation of the VPLs. We are able to render multiple indirect light bounces, where each light bounce accounts for the transport of both the diffuse and the specular fraction of the reflected light.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 831,
            "image_height": 551,
            "name": "preiner_2010_GIPC-image.png",
            "type": "image/png",
            "size": 322383,
            "path": "Publication:preiner_2010_GIPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799,
            193
        ],
        "journal": "Computer Graphics & Geometry",
        "number": "1",
        "pages_from": "2",
        "pages_to": "16",
        "volume": "12",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "virtual point lights",
            "imperfect shadow maps",
            "point rendering",
            "point clouds",
            "global illumination",
            "VPL",
            "ISM"
        ],
        "weblinks": [
            {
                "href": "http://www.cgg-journal.com/2010-1/02.htm",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "algorithm",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1684,
                "image_height": 950,
                "name": "preiner_2010_GIPC-algorithm.png",
                "type": "image/png",
                "size": 1001756,
                "path": "Publication:preiner_2010_GIPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-algorithm.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-algorithm:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 831,
                "image_height": 551,
                "name": "preiner_2010_GIPC-image.png",
                "type": "image/png",
                "size": 322383,
                "path": "Publication:preiner_2010_GIPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "shots",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2136,
                "image_height": 478,
                "name": "preiner_2010_GIPC-shots.png",
                "type": "image/png",
                "size": 993581,
                "path": "Publication:preiner_2010_GIPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-shots.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/preiner_2010_GIPC-shots:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/preiner_2010_GIPC/",
        "__class": "Publication"
    },
    {
        "id": "probst_kolesik_2010_pk10",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU Point Cloud Raytracing",
        "date": "2010",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            880,
            881
        ],
        "date_start": "2010-10-25",
        "matrikelnr": "0726515; 0725148",
        "supervisor": [
            799,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "TERAPOINTS"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/probst_kolesik_2010_pk10/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2010-cgtrends",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Current Trends in Computer Graphics",
        "date": "2010",
        "abstract": "In this paper we give an overview of the current research trends and explore the challenges in several subfields of the scientific discipline of computer graphics: interactive and photorealistic rendering, scientific and information visualization, and visual analytics. Five challenges are extracted that play a role in each of these areas: scalability, semantics, fusion, interaction, acquisition. Of course, not all of these issues are disjunct to each other, however the chosen structure allows for a easy to follow overview of the concrete future challenges.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "purgathofer-2010-cgtrends-.pdf",
            "type": "application/pdf",
            "size": 124293,
            "path": "Publication:purgathofer-2010-cgtrends",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/purgathofer-2010-cgtrends/purgathofer-2010-cgtrends-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/purgathofer-2010-cgtrends/purgathofer-2010-cgtrends-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216
        ],
        "issn": "1220 - 2169",
        "journal": "Buletinul Institutului Politehnic din Iaşi",
        "number": "2",
        "pages_from": "9",
        "pages_to": "24",
        "research_areas": [],
        "keywords": [
            "visualization",
            "rendering",
            "computer graphics",
            "challenges",
            "computer vision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "purgathofer-2010-cgtrends-.pdf",
                "type": "application/pdf",
                "size": 124293,
                "path": "Publication:purgathofer-2010-cgtrends",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/purgathofer-2010-cgtrends/purgathofer-2010-cgtrends-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/purgathofer-2010-cgtrends/purgathofer-2010-cgtrends-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/purgathofer-2010-cgtrends/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2010-Trends",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Some Trends in Computer Graphics",
        "date": "2010",
        "abstract": "Overview of some current research trends & exploration of challenges in 3 subfields of CG: interactive and photorealistic rendering, Visualization, Visual Analytics.\r\n5 challenges play a role in all these areas: Scalability, Semantics, Fusion, Interaction, Acquisition",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2010-10-18",
        "event": "14th International Conference System Theory and Control",
        "location": "Sinaia, Romania",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-Trends/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2010-VisComp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing",
        "date": "2010",
        "abstract": "Es wird ein Überblick gegeben über\r\n- Was ist Visual Computing?\r\n- Das VRVis Kompetenzzentrum\r\n- Projektbeispiele\r\n- Zukünftige Herausforderungen",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Purgathofer-2010-VisComp-.pdf",
            "type": "application/pdf",
            "size": 1857408,
            "path": "Publication:Purgathofer-2010-VisComp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-VisComp/Purgathofer-2010-VisComp-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-VisComp/Purgathofer-2010-VisComp-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2010-09-21",
        "event": "Innovationsgespräch des ZIT",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-2010-VisComp-.pdf",
                "type": "application/pdf",
                "size": 1857408,
                "path": "Publication:Purgathofer-2010-VisComp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-VisComp/Purgathofer-2010-VisComp-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-VisComp/Purgathofer-2010-VisComp-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Purgathofer-2010-VisComp/",
        "__class": "Publication"
    },
    {
        "id": "unterguggenberger-2010-cmph",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Connected meshes for procedural humans",
        "date": "2010",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 460,
            "image_height": 343,
            "name": "unterguggenberger-2010-cmph-image.jpg",
            "type": "image/jpeg",
            "size": 9549,
            "path": "Publication:unterguggenberger-2010-cmph",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            848
        ],
        "date_end": "2010-12-03",
        "date_start": "2010-01-13",
        "matrikelnr": "0721639",
        "supervisor": [
            1303
        ],
        "research_areas": [],
        "keywords": [
            "shape grammars, connectivity, procedural"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 460,
                "image_height": 343,
                "name": "unterguggenberger-2010-cmph-image.jpg",
                "type": "image/jpeg",
                "size": 9549,
                "path": "Publication:unterguggenberger-2010-cmph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "unterguggenberger-2010-cmph-report.pdf",
                "type": "application/pdf",
                "size": 1075501,
                "path": "Publication:unterguggenberger-2010-cmph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/unterguggenberger-2010-cmph-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/unterguggenberger-2010-cmph/",
        "__class": "Publication"
    },
    {
        "id": "WALLNER-2010-CSSAO",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparing SSAO methods in Ogre",
        "date": "2010",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 797,
            "image_height": 596,
            "name": "WALLNER-2010-CSSAO-image.png",
            "type": "image/png",
            "size": 1142698,
            "path": "Publication:WALLNER-2010-CSSAO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            745
        ],
        "date_end": "2010-11-30",
        "date_start": "2009-05-27",
        "matrikelnr": "0625104",
        "supervisor": [
            326,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "documentation",
                "filetitle": "doc",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WALLNER-2010-CSSAO-doc.pdf",
                "type": "application/pdf",
                "size": 3569772,
                "path": "Publication:WALLNER-2010-CSSAO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-doc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-doc:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 797,
                "image_height": 596,
                "name": "WALLNER-2010-CSSAO-image.png",
                "type": "image/png",
                "size": 1142698,
                "path": "Publication:WALLNER-2010-CSSAO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/WALLNER-2010-CSSAO-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/WALLNER-2010-CSSAO/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2010",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2010",
        "date": "2010",
        "abstract": "“Mirror mirror on the wall who is the master of them all?!”\nThe background of this card is a flow visualization of a hurricane data-set, which is rendered using Line Integral Convolution. The pulmonary and the human lower extremity data-sets are rendered with Maximum Intensity Projection in the AngioVis Toolbox. The vessels have been detected using multi-scale analysis.\n\n“Spieglein Spieglein an der Wand wer ist der Meister im ganzen Land?!”\nDer Hintergrund dieser Karte ist eine Strömungsvisualisierung von einem Hurricane Datensatz, welcher mit Hilfe von Line Integral Convolution  dargestellt wird. Die Datensätze einer Lunge und die der Beine eines Menschen werden im AngioVis Programm mittels Maximum Intensity Projection gerendert. Die Adern sind mittels Multi-scale Analysis detektiert worden.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2475,
            "image_height": 1753,
            "name": "xmas-2010-image.png",
            "type": "image/png",
            "size": 6587417,
            "path": "Publication:xmas-2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            869
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2010-card.pdf",
                "type": "application/pdf",
                "size": 27019643,
                "path": "Publication:xmas-2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-card:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2475,
                "image_height": 1753,
                "name": "xmas-2010-image.png",
                "type": "image/png",
                "size": 6587417,
                "path": "Publication:xmas-2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/xmas-2010-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/xmas-2010/",
        "__class": "Publication"
    },
    {
        "id": "zhang_le-2010-IGA",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "In-Game Advertizing",
        "date": "2010",
        "abstract": "A game is developed to test the hypothesis that adverts in the background receive more attention when they are cued by important features to be searched. The cueing method is based on Wolfe's model of Guided Search (1994) and important objects in the foreground which need to be found by the player (ie bonus items) share those features with advertisements which the HVS uses to guide search.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            839
        ],
        "date_end": "2010-04",
        "date_start": "2009-07",
        "matrikelnr": "0327687",
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/zhang_le-2010-IGA/",
        "__class": "Publication"
    },
    {
        "id": "Balabanian-2010-PSDSV",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Proceedings of Schloss Dagstuhl Scientific Visualization Workshop, 2009 (published 2010)",
        "date": "2010",
        "abstract": "This paper describes the concept of A-space. A-space is the space where visualization algorithms\r\nreside. Every visualization algorithm is a unique point in A-space. Integrated visualizations can\r\nbe interpreted as an interpolation between known algorithms. The void between algorithms can\r\nbe considered as a visualization opportunity where a new point in A-space can be reconstructed\r\nand new integrated visualizations can be created.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Balabanian-2010-PSDSV-.pdf",
            "type": "application/pdf",
            "size": 7053319,
            "path": "Publication:Balabanian-2010-PSDSV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-PSDSV/Balabanian-2010-PSDSV-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-PSDSV/Balabanian-2010-PSDSV-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673,
            166
        ],
        "issn": "1868-8977",
        "journal": "Schloss Dagstuhl Follow Ups",
        "number": "1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Balabanian-2010-PSDSV-.pdf",
                "type": "application/pdf",
                "size": 7053319,
                "path": "Publication:Balabanian-2010-PSDSV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-PSDSV/Balabanian-2010-PSDSV-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-PSDSV/Balabanian-2010-PSDSV-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Balabanian-2010-PSDSV/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2010-HVC",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hybrid Visibility Compositing and Masking for Illustrative Rendering",
        "date": "2010",
        "abstract": "In this paper, we introduce a novel framework for the compositing of interactively rendered 3D layers\ntailored to the needs of scientific illustration. Currently, traditional scientific illustrations are produced\nin a series of composition stages, combining different pictorial elements using 2D digital layering. Our\napproach extends the layer metaphor into 3D without giving up the advantages of 2D methods. The\nnew compositing approach allows for effects such as selective transparency, occlusion overrides, and\nsoft depth buffering. Furthermore, we show how common manipulation techniques such as masking\ncan be integrated into this concept. These tools behave just like in 2D, but their influence extends\nbeyond a single viewpoint. Since the presented approach makes no assumptions about the underlying\nrendering algorithms, layers can be generated based on polygonal geometry, volumetric data, pointbased\nrepresentations, or others. Our implementation exploits current graphics hardware and permits\nreal-time interaction and rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 854,
            "image_height": 913,
            "name": "bruckner-2010-HVC-Image.jpg",
            "type": "image/jpeg",
            "size": 307188,
            "path": "Publication:bruckner-2010-HVC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            488,
            171,
            862,
            565,
            166
        ],
        "journal": "Computers & Graphics",
        "number": "34",
        "pages_from": "361",
        "pages_to": "369",
        "research_areas": [
            "IllVis",
            "MedVis"
        ],
        "keywords": [
            "compositing",
            "masking",
            "illustration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 854,
                "image_height": 913,
                "name": "bruckner-2010-HVC-Image.jpg",
                "type": "image/jpeg",
                "size": 307188,
                "path": "Publication:bruckner-2010-HVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2010-HVC-Preprint.pdf",
                "type": "application/pdf",
                "size": 2234448,
                "path": "Publication:bruckner-2010-HVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Preprint:thumb{{size}}.png"
            },
            {
                "description": "Interactive demonstration",
                "filetitle": "Video 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 852,
                "name": "bruckner-2010-HVC-Video 1.avi",
                "type": "video/x-msvideo",
                "size": 45092410,
                "path": "Publication:bruckner-2010-HVC",
                "preview_name": "bruckner-2010-HVC-Video 1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21243,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 1:video.mp4"
            },
            {
                "description": "Computer-generated illustration of the reproductive system",
                "filetitle": "Video 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2010-HVC-Video 2.avi",
                "type": "video/x-msvideo",
                "size": 25411494,
                "path": "Publication:bruckner-2010-HVC",
                "preview_name": "bruckner-2010-HVC-Video 2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 37959,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 2:video.mp4"
            },
            {
                "description": "Computer-generated illustration of the human liver",
                "filetitle": "Video 3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2010-HVC-Video 3.avi",
                "type": "video/x-msvideo",
                "size": 24452420,
                "path": "Publication:bruckner-2010-HVC",
                "preview_name": "bruckner-2010-HVC-Video 3:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 37344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/bruckner-2010-HVC-Video 3:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-HVC/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2010-IFC",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Focus+Context Approaches in Interactive Volume Visualization",
        "date": "2010",
        "abstract": "Illustrative techniques are a new and exciting direction in visualization research. Traditional techniques which have been used by scientific illustrators for centuries are re-examined under the light of modern computer technology. In this paper, we discuss the use of the focus+context concept for the illustrative visualization of volumetric data. We give an overview of the state-of-the-art and discuss recent approaches which employ this concept in novel ways.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 402,
            "image_height": 433,
            "name": "bruckner-2010-IFC-Teaser.png",
            "type": "image/png",
            "size": 117528,
            "path": "Publication:bruckner-2010-IFC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166,
            591,
            563,
            872
        ],
        "booktitle": "Scientific Visualization: Advanced Concepts",
        "chapter": "10",
        "editor": "Hans Hagen",
        "isbn": "978-3-939897-19-4",
        "note": "The article was originally written in 2005 after the Dagstuhl Seminar on Scientific Visualization and reflects the state-of-the-art at that time.",
        "pages_from": "136",
        "pages_to": "162",
        "series": "Dagstuhl Follow-Ups",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Illustrative Visualization",
            "Volumetric Data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2010-IFC-Paper.pdf",
                "type": "application/pdf",
                "size": 8221972,
                "path": "Publication:bruckner-2010-IFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 402,
                "image_height": 433,
                "name": "bruckner-2010-IFC-Teaser.png",
                "type": "image/png",
                "size": 117528,
                "path": "Publication:bruckner-2010-IFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/bruckner-2010-IFC-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-IFC/",
        "__class": "Publication"
    },
    {
        "id": "brunnhuber-2010-behavior-handicapped",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation and Visualization of the Behavior of Handicapped People in Virtually Reconstructed Public Buildings",
        "date": "2010",
        "abstract": "The planning of public transport infrastructures today must respect the needs of a wide variety of travelers. In particular the design of guiding systems needs to take the reduced reception capabilities of the elderly and handicapped people into account.\r\nTherefore tools for the evaluation of guiding systems need to be developed. Such tools must be based on empirical knowledge on the perception capabilities of the various user groups as well as detailed microscopic pedestrian movement models in order to represent typical paths taken. We model the cognition of guiding systems to enable a realistic representation for the motion and orientation behavior of elderly and handicapped people having difficulties perceiving the guidance information and not being familiar with a building.\r\nTo demonstrate the feasibility of the approach we discuss a technique to virtually reconstruct public buildings in 3D and visualize the simulated crowd with detailed models for each individual. The lines of sight of selected, handicapped persons, who are moving amongst other persons, are also shown in order to evaluate the visibility of the guiding information in the infrastructure and to hint at possible improvements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            882,
            883,
            205,
            884,
            190
        ],
        "booktitle": "CORP 2010",
        "lecturer": [
            205
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brunnhuber-2010-behavior-handicapped-Paper.pdf",
                "type": "application/pdf",
                "size": 361611,
                "path": "Publication:brunnhuber-2010-behavior-handicapped",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/brunnhuber-2010-behavior-handicapped-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/brunnhuber-2010-behavior-handicapped-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/brunnhuber-2010-behavior-handicapped/",
        "__class": "Publication"
    },
    {
        "id": "daae-lampe-2010-dif",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Multivariate Movement Data Using Interactive Difference Views",
        "date": "2010",
        "abstract": "Movement data consisting of a large number of spatio-temporal agent trajectories is challenging to visualize, especially when all trajectories are attributed with multiple variates. In this paper, we demonstrate the visual exploration of such movement data through the concept of interactive difference views. By reconfiguring the difference views in a fast and flexible way, we enable temporal trend discovery. We are able to analyze large amounts of such movement data through the use of a frequency-based visualization based on kernel density estimates (KDE), where it is also possible to quantify differences in terms of the units of the visualized data. Using the proposed techniques, we show how the user can produce quantifiable movement differences and compare different categorical attributes (such as weekdays, ship-type, or the general wind direction), or a range of a quantitative attribute (such as how two hours’ traffic compares to the average). We present results from the exploration of vessel movement data from the Norwegian Coastal Administration, collected by the Automatic Identification System (AIS) coastal tracking. There are many interacting patterns in such movement data, both temporal and other more intricate, such as weather conditions, wave heights, or sunlight. In this work we study these movement patterns, answering specific questions posed by Norwegian Coastal Administration on potential shipping lane optimizations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 956,
            "image_height": 853,
            "name": "daae-lampe-2010-dif-.jpg",
            "type": "image/jpeg",
            "size": 271630,
            "path": "Publication:daae-lampe-2010-dif",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/daae-lampe-2010-dif/daae-lampe-2010-dif-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/daae-lampe-2010-dif/daae-lampe-2010-dif-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1097,
            983,
            176
        ],
        "booktitle": "Proceedings of Vision, Modeling, and Visualization (VMV 2010)",
        "lecturer": [
            1097
        ],
        "pages_from": "315",
        "pages_to": "322",
        "research_areas": [
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 956,
                "image_height": 853,
                "name": "daae-lampe-2010-dif-.jpg",
                "type": "image/jpeg",
                "size": 271630,
                "path": "Publication:daae-lampe-2010-dif",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/daae-lampe-2010-dif/daae-lampe-2010-dif-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/daae-lampe-2010-dif/daae-lampe-2010-dif-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/daae-lampe-2010-dif/",
        "__class": "Publication"
    },
    {
        "id": "DOG10",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "L-Systems for Fine Art",
        "date": "2010",
        "abstract": "The media artist Hofstetter Kurt creates fascinating tilings by iterative transformations of basic graphical elements. The Inductive Rotation</a>. This process should be automated by specifying the construction with L-Systems. L-Systems are formal grammars originally developed to simulate the growth of plants. But they are a very general tool for all kind of recursively defined objects. Hofstetter's tilings are very well suited for this approach. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            876
        ],
        "date_end": "2010",
        "date_start": "2010",
        "matrikelnr": "0416109",
        "supervisor": [
            237
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "L-Systems, Tilings"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Inductive Rotation Tilingy by Hofstetter Kurt",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 826,
                "name": "DOG10-image.jpg",
                "type": "image/jpeg",
                "size": 557254,
                "path": "Publication:DOG10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/DOG10/DOG10-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/DOG10/DOG10-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/DOG10/",
        "__class": "Publication"
    },
    {
        "id": "druml-2010-PFL",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Out-of-Core rendering and simplifications for rendering large scenes",
        "date": "2010",
        "abstract": "The topic of this project to be able to render large scene like the Boeing model (300M vertices) in real time using out-of-core rendering, prefetching, online occlusion culling and LODs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1281,
            "image_height": 333,
            "name": "druml-2010-PFL-image.jpg",
            "type": "image/jpeg",
            "size": 270688,
            "path": "Publication:druml-2010-PFL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            794,
            793,
            795
        ],
        "matrikelnr": "e0625652",
        "note": "1",
        "supervisor": [
            326
        ],
        "research_areas": [],
        "keywords": [
            "large scenes",
            "out-of-core",
            "prefetching",
            "online occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1281,
                "image_height": 333,
                "name": "druml-2010-PFL-image.jpg",
                "type": "image/jpeg",
                "size": 270688,
                "path": "Publication:druml-2010-PFL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "druml-2010-PFL-report.pdf",
                "type": "application/pdf",
                "size": 930836,
                "path": "Publication:druml-2010-PFL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/druml-2010-PFL-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/druml-2010-PFL/",
        "__class": "Publication"
    },
    {
        "id": "dusberger-2010-msm",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mesh-Subdivision Methods in CGA Shape Grammars",
        "date": "2010",
        "abstract": "This report describes the application of mesh-subdivision algorithms\nin the context of CGA shape, a shape grammar for Computer\nGenerated Architecture. Constituting a procedural modeling\napproach, CGA shape allows the creation of models under moderate\neffort, which can furthermore be varied easily by the possibility\nto parametrize the rules of CGA shape.\nAt the Vienna University of Technology a CGA shape implementation\nis being designed and extended by a skeleton system, allowing\nan easier variation of poses for humanoid models. In this report we\nfollow this idea and want to further extend CGA shape by meshsubdivision\nin order to achieve a higher quality and complexity in\nthe resulting models. We discuss mesh-subdivision in general and\nevaluate the results of an implementation in the existing software\nsystem of the Vienna University of Technology.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 285,
            "image_height": 360,
            "name": "dusberger-2010-msm-teaser.png",
            "type": "image/png",
            "size": 31371,
            "path": "Publication:dusberger-2010-msm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            866
        ],
        "date_end": "2010-07-20",
        "date_start": "2010-03-09",
        "matrikelnr": "0725856",
        "supervisor": [
            1303
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "mesh subdivision",
            "shape grammars",
            "procedural modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dusberger-2010-msm-report.pdf",
                "type": "application/pdf",
                "size": 744890,
                "path": "Publication:dusberger-2010-msm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 285,
                "image_height": 360,
                "name": "dusberger-2010-msm-teaser.png",
                "type": "image/png",
                "size": 31371,
                "path": "Publication:dusberger-2010-msm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/dusberger-2010-msm-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/dusberger-2010-msm/",
        "__class": "Publication"
    },
    {
        "id": "ERNST-2010-IOOC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing out-of-core algorithms",
        "date": "2010",
        "abstract": "Dieses Projekt befasst sich mit dem Echtzeit-Rendern von Modellen die aufgrund ihrer Größe nicht komplett im RAM bzw. VRAM gehalten werden können. Die Entwicklung solcher Out-of-Core Algorithmen wird durch die immer weiter steigende Anzahl an Polygonen detaillierter Szenen erforderlich. Mögliche Quellen derartiger Modelle sind Konstruktion von z.B. Flug- und Fahrzeugen oder Gebäuden, aber auch Messungen mittels 3D Scannern produzieren solch große Datenmengen. Das  Darstellen  dieser  großen  Datensätze  in  Echtzeit  ist  vor  allem  für  interaktive  Anwendungen wichtig.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1281,
            "image_height": 333,
            "name": "ERNST-2010-IOOC-image.jpg",
            "type": "image/jpeg",
            "size": 270688,
            "path": "Publication:ERNST-2010-IOOC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            793,
            794,
            795
        ],
        "date_end": "2010-03-25",
        "date_start": "2009-07-10",
        "matrikelnr": "0625316,0625181,0625652",
        "supervisor": [
            326,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "documentation",
                "filetitle": "doc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "ERNST-2010-IOOC-doc.pdf",
                "type": "application/pdf",
                "size": 930836,
                "path": "Publication:ERNST-2010-IOOC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-doc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-doc:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1281,
                "image_height": 333,
                "name": "ERNST-2010-IOOC-image.jpg",
                "type": "image/jpeg",
                "size": 270688,
                "path": "Publication:ERNST-2010-IOOC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/ERNST-2010-IOOC-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/ERNST-2010-IOOC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2010-CVC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comprehensive Visualization of Cardiac MRI Data",
        "date": "2010",
        "abstract": "Coronary artery disease is one of the leading causes of death in the western world. The continuous improvements in magnetic resonance imaging (MRI) technology facilitate more accurate diagnoses by providing increasingly more detailed information on the viability, functioning, perfusion, and anatomy of a patient’s heart. The talk covers several novel techniques that realize multi-modal visualizations of a patient’s heart to assist in the diagnosis of coronary artery disease . A volumetric bull’s eye offers a more comprehensive view on the viability of a patient’s heart by providing detailed information on the transmurality of scar while not suffering from discontinuities. Anatomical context is often lost due to abstract representations of data, or may be scarce due to the nature of the scanning protocol. Several techniques to restore the relation to anatomy are presented. The primary coronary arteries are segmented in a whole heart scan and mapped onto a volumetric bull’s eye plot, adding anatomical context to an abstract representation. Similarly, segmented late enhancement data are rendered along with a three-dimensional segmentation of the patient-specific myocardial and coronary anatomy. Additionally, coronary supply territories are computed from patient-specific data as an improvement over models based on population averages. Information on the perfusion of the myocardium provided by MRI is typically of fairly low resolution. Using high-resolution anatomical data, an approach to visualize simulated myocardial perfusion is presented, taking full advantage of the detailed information on perfusion. Finally, a truly comprehensive visualization of a cardiac MRI exam is explored by combining whole heart, late enhancement, functional, and perfusion scans in a single visualization.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2010-05-21",
        "event": "MedViz seminar",
        "location": "University of Bergen",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-CVC/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2010-How",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "How To Do Research",
        "date": "2010",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Slides",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-2010-How-Slides.pptx",
                "type": "application/zip",
                "size": 19215705,
                "path": "Publication:groeller-2010-How",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-How/groeller-2010-How-Slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-How/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2010-IFI",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization",
        "date": "2010",
        "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. One of the key concepts for creating an expressive illustration is abstraction. Abstraction introduces a distortion between the visualization and the underlying model according to the communicative intent of the illustration. Inspired by observations from hand-made illustrations, similar techniques for the generation of rendered images have been developed. These techniques work on different levels: low level abstraction techniques (stylized depiction methods) deal with how objects should be presented, while high level abstraction techniques (smart visibility approaches) are concerned with what should be visible and recognizable. We review several existing approaches from both categories and describe concepts used in the design of a system for creating interactive illustrations directly from volumetric data. A fully dynamic three-dimensional illustration environment is discussed which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. Furthermore, we discuss several illustrative concepts like style transfer functions, exploded views, semantic layers, and illustration-inspired integrated views. Further information on the presented techniques is available at http://www.cg.tuwien.ac.at/research/vis/. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2010-12-02",
        "event": "IFI colloquium",
        "location": "Department of Informatics, University of Zurich",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-IFI/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2010-IVVI",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrated Views in Visualization",
        "date": "2010",
        "abstract": "Data Visualization uses computer-supported, interactive, visual representations of (abstract) data to amplify cognition. In recent years data complexity has increased tremendously. This is for example due to an increase in data size and dimensionality. New imaging modalities generate quite heterogeneous, multi-valued, multi-modal, and time-varying data. Separate views and linked views are approaches to cope with complexity, but are limited, e.g., concerning scalability.\r\nThis talk will concentrate rather on integrated views as inspired by traditional illustrations. The concept of A-space is presented. It is the “space” where visualization algorithms reside. Every visualization algorithm\r\nis a unique point in A-space. Integrated visualizations can be interpreted as an “interpolation” between known algorithms. The void between algorithms can be considered as a visualization opportunity where a new point in A-space can be reconstructed and new integrated visualizations can be created. The talk will discuss several research examples which go beyond data and image fusion and achieve what can be considered algorithm fusion.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2010-05-20",
        "event": "Institute seminar, Department of Informatics",
        "location": "University of Bergen",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-IVVI/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2010-PTT",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Tips and Tricks for Paper Writing (updated 2021)",
        "date": "2010",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "groeller-2010-PTT-.pdf",
            "type": "application/pdf",
            "size": 163463,
            "path": "Publication:groeller-2010-PTT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-PTT/groeller-2010-PTT-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-PTT/groeller-2010-PTT-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-2010-PTT-.pdf",
                "type": "application/pdf",
                "size": 163463,
                "path": "Publication:groeller-2010-PTT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-PTT/groeller-2010-PTT-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-PTT/groeller-2010-PTT-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/groeller-2010-PTT/",
        "__class": "Publication"
    },
    {
        "id": "HECHER-2010-3DS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Stereo Demo System",
        "date": "2010",
        "abstract": "Das Stereoramework dient in erster Linie dazu, die Erstellung von OpenGL-Stereoapplikationen für unterschiedliche Hardware zu vereinfachen und stellt diesbezüglich Funktionen zur Verfügung. Das Framework soll das Portieren von „nicht Stereoapplikationen“ zu Stereoapplikationen einfach gestalten, weshalb darauf geachtet wurde, die Anzahl der Funktionen gering zu halten. Des Weiteren kann das Framework dazu verwendet werden, Stereo-Videos aufzunehmen.\n\nWeiters enthält der Report eine Analyse der Leuchtkraft diverser Stereo-Setups.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            779
        ],
        "date_end": "2010-06-18",
        "date_start": "2009-02-27",
        "matrikelnr": "0625134",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": {
            "1": {
                "description": "End report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "HECHER-2010-3DS-report.pdf",
                "type": "application/pdf",
                "size": 1176569,
                "path": "Publication:HECHER-2010-3DS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/HECHER-2010-3DS/HECHER-2010-3DS-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/HECHER-2010-3DS/HECHER-2010-3DS-report:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/HECHER-2010-3DS/",
        "__class": "Publication"
    },
    {
        "id": "RADAX-2010-LOD",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Levels of Detail for Procedural Modeling",
        "date": "2010",
        "abstract": "The Cga-LoD program is used to create LoD models out of models created with Markus Lipp's Cga\nprogram. The LoDs are based on bounding boxes, rather than mesh simplification.\nThe Cga program creates architectural models based on hierarchical rules. The Cga-LoD program\nnow uses the hierarchy of each model to create the LoD models. Basically parts of the hierarchy\nwill be replaced by oriented bounding boxes enclosing the geometry of this parts. This bounding\nboxes will them be texturized and used instead of the original geometry.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 640,
            "image_height": 502,
            "name": "RADAX-2010-LOD-image.png",
            "type": "image/png",
            "size": 161071,
            "path": "Publication:RADAX-2010-LOD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            721
        ],
        "date_end": "2009-10-31",
        "date_start": "2009-05-06",
        "matrikelnr": "0500848",
        "supervisor": [
            680,
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "developer documentation",
                "filetitle": "devdoc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "RADAX-2010-LOD-devdoc.pdf",
                "type": "application/pdf",
                "size": 183361,
                "path": "Publication:RADAX-2010-LOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-devdoc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-devdoc:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 640,
                "image_height": 502,
                "name": "RADAX-2010-LOD-image.png",
                "type": "image/png",
                "size": 161071,
                "path": "Publication:RADAX-2010-LOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-image:thumb{{size}}.png"
            },
            {
                "description": "user documentation",
                "filetitle": "userdoc",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "RADAX-2010-LOD-userdoc.pdf",
                "type": "application/pdf",
                "size": 806362,
                "path": "Publication:RADAX-2010-LOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-userdoc.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/RADAX-2010-LOD-userdoc:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/RADAX-2010-LOD/",
        "__class": "Publication"
    },
    {
        "id": "REINALTER_2010_VIS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility in a real-world cross-platform game engine",
        "date": "2010",
        "abstract": "With hardware capabilities and customer expectations rising every new game\r\nconsole generation, e\u000ecient visibility algorithms become a more and more\r\ncrucial part of every modern rendering engine. Although GPUs built into the\r\nconsoles become better each generation, game developers are always striving\r\nto get more performance and better quality out of a game console. Therefore\r\nit is a must to employ powerful visibility algorithms which allow the developers\r\nto render more complex scenes while maintaining smooth framerates.\r\nThis thesis explores whether current state-of-the-art visibility algorithms\r\ncan be used on game consoles, and describes the layers of abstraction needed\r\nin developing a multi-platform rendering engine.\r\nTherefore, the \frst part of the thesis focuses on the design and implementation\r\nof a rendering engine for major current-gen platforms, such as\r\nMicrosoft Windows, the Microsoft XBox360, Sony's PlayStation 3 and the\r\nNintendo Wii, dealing with the vastly di\u000berent platform architectures. Furthermore,\r\nsolutions to engine design problems related to both hardware capabilities\r\nas well as software engineering practices are explored. Concluding\r\nthe \frst part, prerequisites and building blocks for implementing visibility\r\nalgorithms are developed.\r\nThe second part of the thesis concentrates on developing and integrating\r\nvisibility algorithms into the aforementioned engine, building upon the\r\ncomponents introduced in the \frst part. The used visibility algorithms are\r\nenhanced and tailored to speci\fc hardware needs and capabilities, getting\r\nthe most performance out of game consoles. Finally, results and possible improvements\r\nand future enhancements for current state-of-the-art algorithms\r\nconclude this thesis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 642,
            "name": "REINALTER_2010_VIS-Image.jpg",
            "type": "image/jpeg",
            "size": 1008569,
            "path": "Publication:REINALTER_2010_VIS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            738
        ],
        "date_start": "2007-09-01",
        "matrikelnr": "0225790",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "Cross-Platform",
            "Real-Time Rendering",
            "Visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 642,
                "name": "REINALTER_2010_VIS-Image.jpg",
                "type": "image/jpeg",
                "size": 1008569,
                "path": "Publication:REINALTER_2010_VIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "REINALTER_2010_VIS-poster.pdf",
                "type": "application/pdf",
                "size": 3640395,
                "path": "Publication:REINALTER_2010_VIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "REINALTER_2010_VIS-Thesis.pdf",
                "type": "application/pdf",
                "size": 14226095,
                "path": "Publication:REINALTER_2010_VIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/REINALTER_2010_VIS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/REINALTER_2010_VIS/",
        "__class": "Publication"
    },
    {
        "id": "reisner-2010-1dh",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Camera Pose Estimation using Line Correspondences and 1D Homographies",
        "date": "2010",
        "abstract": "This paper describes a new method for matching line segments\r\nbetween two images in order to compute the relative camera pose.\r\nThis approach improves the camera pose for images lacking stable point\r\nfeatures but where straight line segments are available. The line matching\r\nalgorithm is divided into two stages: At first, scale-invariant feature\r\npoints along the lines are matched incorporating a one-dimensional homography.\r\nThen, corresponding line segments are selected based on the\r\nquality of the estimated homography and epipolar constraints. Based on\r\ntwo line segment correspondences the relative orientation between two\r\nimages can be calculated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1122,
            "image_height": 1496,
            "name": "reisner-2010-1dh-image.png",
            "type": "image/png",
            "size": 1381437,
            "path": "Publication:reisner-2010-1dh",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            847,
            879,
            190
        ],
        "booktitle": "Advances in Visual Computing: 6th International Symposium on Visual Computing (ISVC 2010)",
        "date_from": "2010-11-29",
        "date_to": "2010-12-01",
        "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Chung, R.; Hammoud, R.; Hussain, M.; Tan, K.-H.; Crawfis, R.; Thalmann, D.; Kao, D.; Avila, L.",
        "isbn": "978-3-642-17273-1",
        "lecturer": [
            847
        ],
        "location": "Las Vegas, Nevada, USA",
        "pages_from": "41",
        "pages_to": "52",
        "publisher": "Springer",
        "series": "Lecture Notes in Computer Science",
        "research_areas": [],
        "keywords": [
            "pose estimation",
            "line matching"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1122,
                "image_height": 1496,
                "name": "reisner-2010-1dh-image.png",
                "type": "image/png",
                "size": 1381437,
                "path": "Publication:reisner-2010-1dh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "reisner-2010-1dh-paper.pdf",
                "type": "application/pdf",
                "size": 5076800,
                "path": "Publication:reisner-2010-1dh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "scalespace",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 810,
                "image_height": 320,
                "name": "reisner-2010-1dh-scalespace.png",
                "type": "image/png",
                "size": 61107,
                "path": "Publication:reisner-2010-1dh",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/reisner-2010-1dh-scalespace:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/reisner-2010-1dh/",
        "__class": "Publication"
    },
    {
        "id": "Ribicic-2010-CRS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "COMPARATIVE RENDERING OF SIMULATION SCENARIOS",
        "date": "2010",
        "abstract": "In the course of this thesis, a software solution that can be used to handle the simulation and visualization of multiple flooding scenarios was developed. Multiple alternatives can be simulated at once, and the user can jump between various simulation states and explore them at will. New alternatives can be explored by changing parameters or introducing events into the simulation. The thesis is centered around the study of breach-closure procedures used to repair the damage done to the levees of New Orleans after hurricane Katrina. A simulation scenario resembling the original study was made and used to explore alternative ways of closing the breach.  The results of the simulation are rendered to the user using the screen-space fluid with curvature-flow rendering-method. To allow ease of exploration, additional views that allow the user to compare simulation states were developed. These views show which buildings are threatened in various states, and the properties of the simulated fluid across multiple states. It is shown that these views follow a common approach that can be used to create new comparative renderings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 534,
            "image_height": 534,
            "name": "Ribicic-2010-CRS-.png",
            "type": "image/png",
            "size": 268452,
            "path": "Publication:Ribicic-2010-CRS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            889
        ],
        "supervisor": [
            798
        ],
        "research_areas": [],
        "keywords": [
            "visualization",
            "comparative rendering",
            "SPH",
            "Fluid simulation",
            "fluid rendering",
            "computational steering",
            "World Lines"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 534,
                "image_height": 534,
                "name": "Ribicic-2010-CRS-.png",
                "type": "image/png",
                "size": 268452,
                "path": "Publication:Ribicic-2010-CRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ribicic-2010-CRS-Thesis.pdf",
                "type": "application/pdf",
                "size": 30638594,
                "path": "Publication:Ribicic-2010-CRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/Ribicic-2010-CRS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Semantic Steering"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Ribicic-2010-CRS/",
        "__class": "Publication"
    },
    {
        "id": "Roegner_RHF_2010",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering of Hypercomplex Fractals",
        "date": "2010",
        "abstract": "A common problem when rendering fractals is, that the user has\r\nonly limited abilities to choose a camera-position in real-time and\r\ntherefore the workflow is not optimal. But not only the camera\r\nposition\r\nIn this paper the solution to this problem will be described by the\r\nexample of the FraCuda application.\r\nIt uses the CUDA-API to implement a Ray Caster for fractals,\r\nwhich includes Real-time Rendering techniques to improve the visual\r\nappearance of the resulting image. The application consists\r\nof a Real-time Rendering application for fractals and a program\r\nthat generates high quality images with the same technique, which\r\nleads to an increased workflow when it comes to rendering hyper\r\ncomplex fractals.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Rendering of a part of the Mandelbulb",
            "filetitle": "example",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1080,
            "name": "Roegner_RHF_2010-example.jpg",
            "type": "image/jpeg",
            "size": 2472086,
            "path": "Publication:Roegner_RHF_2010",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-example.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-example:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            875
        ],
        "date_start": "2010-09-15",
        "matrikelnr": "0825045",
        "supervisor": [
            808
        ],
        "research_areas": [],
        "keywords": [
            "fractal",
            "CUDA"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Rendering of a part of the Mandelbulb",
                "filetitle": "example",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1080,
                "name": "Roegner_RHF_2010-example.jpg",
                "type": "image/jpeg",
                "size": 2472086,
                "path": "Publication:Roegner_RHF_2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-example.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-example:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Roegner_RHF_2010-thesis.pdf",
                "type": "application/pdf",
                "size": 41383547,
                "path": "Publication:Roegner_RHF_2010",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/Roegner_RHF_2010-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/Roegner_RHF_2010/",
        "__class": "Publication"
    },
    {
        "id": "scherzer_2010a",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Real-Time Hard Shadow Mapping Methods",
        "date": "2010",
        "abstract": "Due to its versatility, speed and robustness, shadow mapping has always been a popular algorithm for fast hard shadow generation since its introduction in 1978, first for off-line film productions and later increasingly so in real-time graphics.\n\nSo it is not surprising that recent years have seen an explosion in the number of shadow map related publications. The last survey that encompassed shadow mapping approaches, but was mainly focused on soft shadow generation, dates back to 2003~cite{HLHS03} and the last survey for general shadow generation dates back to 1990~cite{Woo:1990:SSA}. No survey that describes all the advances made in hard shadow map generation in recent years exists.\n\nOn the other hand, shadow mapping is widely used in the game industry, in production, and in many other applications, and it is the basis of many soft shadow algorithms. Due to the abundance of articles on the topic, it has become very hard for practioners and researchers to select a suitable shadow algorithm, and therefore many applications miss out on the latest high-quality shadow generation approaches. \n\n%Real-time research was always tempted to bring global lighting techniques into the real-time domain. One of the most popular adaptations in this respect are hard shadows. It is therefore not surprising that real-time hard shadow generation has been one of the most active areas in research in recent years. But what is surprising is that the last state-of-the-art report that encompassed this field dates back to 1990~cite{Woo:1990:SSA}, were only the beginnings of this field were explored. \n\nThe goal of this survey is to rectify this situation by providing a detailed overview of this field. We provide a detailed analysis of shadow mapping errors and derive from this a comprehensive classification of the existing methods. We discuss the most influential algorithms, consider their benefits and shortcomings and thereby provide the reader with the means to choose the shadow algorithm best suited to her needs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Partitioning",
            "filetitle": "Partitioning",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 935,
            "image_height": 593,
            "name": "scherzer_2010a-Partitioning.png",
            "type": "image/png",
            "size": 685992,
            "path": "Publication:scherzer_2010a",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-Partitioning.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-Partitioning:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            193,
            190
        ],
        "booktitle": "EUROGRAPHICS 2010 State of the Art Reports",
        "location": "Norrköping, Sweden",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Partitioning",
                "filetitle": "Partitioning",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 935,
                "image_height": 593,
                "name": "scherzer_2010a-Partitioning.png",
                "type": "image/png",
                "size": 685992,
                "path": "Publication:scherzer_2010a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-Partitioning.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-Partitioning:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer_2010a-pdf.pdf",
                "type": "application/pdf",
                "size": 24734544,
                "path": "Publication:scherzer_2010a",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/scherzer_2010a-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer_2010a/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2010b",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Coherence in Real-Time Rendering",
        "date": "2010",
        "abstract": "Real-time rendering imposes the challenging task of creating a new rendering of an input scene at least 60 times per second. Although computer graphics\nhardware has made staggering advances in terms of\nspeed and freedom of programmability in recent years,\nthere still exists a number of algorithms that are\njust too expensive to be calculated in this time budget,\nlike for instance exact shadows or an exact global illumination\nsolution. One way to circumvent this hard time limit\nis to capitalize on temporal coherence to formulate\nalgorithms incremental in time.\nTo this end, three algorithms which successfully incorporate temporal coherence are analysed in detail.\nTo highlight the benefits which are provided by these new practical algorithms, this book also includes the respective previous work.\nThis includes not only the field of temporal coherence, but also the fields of real-time hard and soft shadows and discrete LOD blending.\nThis book targets computer scientists and students with prior knowledge in real-time rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "cover",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 159,
            "image_height": 233,
            "name": "scherzer2010b-cover.jpg",
            "type": "image/jpeg",
            "size": 14290,
            "path": "Publication:scherzer2010b",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452
        ],
        "isbn": "978-3-639-09196-0",
        "pages": "122",
        "publisher": "Verlag Dr. Müller",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "cover",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 159,
                "image_height": 233,
                "name": "scherzer2010b-cover.jpg",
                "type": "image/jpeg",
                "size": 14290,
                "path": "Publication:scherzer2010b",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-cover:thumb{{size}}.png"
            },
            {
                "description": "softShadowSampling",
                "filetitle": "softShadowSampling",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1890,
                "image_height": 945,
                "name": "scherzer2010b-softShadowSampling.png",
                "type": "image/png",
                "size": 2002419,
                "path": "Publication:scherzer2010b",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-softShadowSampling.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/scherzer2010b-softShadowSampling:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010b/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2010d",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting Temporal Coherence in Real-Time Rendering",
        "date": "2010",
        "abstract": "Temporal coherence (TC), the correlation of contents between adjacent rendered frames, exists across a wide range of scenes and motion types in practical real-time rendering. By taking advantage of TC, we can save redundant computation and improve the performance of many rendering tasks significantly with only a marginal decrease in quality. This not only allows us to incorporate more computationally intensive shading effects to existing applications, but also offers exciting opportunities of extending high-end graphics applications to reach lower-spec consumer-level hardware.\n\nThis course aims to introduce participants to the concepts of TC, and provide them the working practical and theoretical knowledge to exploit TC in a variety of shading tasks. It begins with an introduction of the general notion of TC in rendering, as well as an overview of the recent developments in this field. Then it focuses on a key data structure - the reverse reprojection cache, which is the foundation of many applications. The course proceeds with a number of extensions of the basic algorithm for assisting in multi-pass shading effects, shader antialiasing, casting shadows and global-illumination effects. Finally, several more general coherence topics beyond pixel reuse are introduced, including visibility culling optimization and object-space global-illumination approximations. For all the major techniques and applications covered, implementation and practical issues involved in development are addressed in detail.\n\nIn general, we emphasize \"know how\" and the guidelines related to algorithm choices. After the course, participants are encouraged to find and utilize TC in their own applications and rapidly adapt existing algorithms to meet their requirements.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "reprojection",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 850,
            "image_height": 362,
            "name": "scherzer2010d-image.png",
            "type": "image/png",
            "size": 66769,
            "path": "Publication:scherzer2010d",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            868,
            326
        ],
        "booktitle": "SIGGRAPH Asia 2010 Courses",
        "date_from": "2010-12-15",
        "date_to": "2010-12-18",
        "location": "Seoul, Südkorea",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadows",
            "temporal coherence",
            "real-time",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "reprojection",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 850,
                "image_height": 362,
                "name": "scherzer2010d-image.png",
                "type": "image/png",
                "size": 66769,
                "path": "Publication:scherzer2010d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scherzer2010d-paper.pdf",
                "type": "application/pdf",
                "size": 18830643,
                "path": "Publication:scherzer2010d",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/scherzer2010d-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/scherzer2010d/",
        "__class": "Publication"
    },
    {
        "id": "sikachev-2010-ill_vis_vol_ren",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization and Volume Rendering",
        "date": "2010",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Title Figure",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 320,
            "image_height": 565,
            "name": "sikachev-2010-ill_vis_vol_ren-Title Figure.png",
            "type": "image/png",
            "size": 249139,
            "path": "Publication:sikachev-2010-ill_vis_vol_ren",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            864
        ],
        "date_from": "2010-07-30",
        "date_to": "2010-07-30",
        "event": "-",
        "location": "Moscow, Russia",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "tuwien",
            "volume rendering",
            "vis-group",
            "illustrative visualization",
            "ViMaL"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Clothes Rendering with DX 10",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10.wmv",
                "type": "text/plain",
                "size": 2637167,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 62493,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Clothes Rendering with DX 10:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "CPVR - Hand",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "sikachev-2010-ill_vis_vol_ren-CPVR - Hand.avi",
                "type": "video/x-msvideo",
                "size": 2492416,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-CPVR - Hand:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 21358,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Hand:video.mp4"
            },
            {
                "description": null,
                "filetitle": "CPVR - Tooth",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "sikachev-2010-ill_vis_vol_ren-CPVR - Tooth.avi",
                "type": "video/x-msvideo",
                "size": 892928,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 33756,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-CPVR - Tooth:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Exploded Views",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 512,
                "name": "sikachev-2010-ill_vis_vol_ren-Exploded Views.avi",
                "type": "video/x-msvideo",
                "size": 30501888,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Exploded Views:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 18301,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Exploded Views:video.mp4"
            },
            {
                "description": null,
                "filetitle": "LiveSync",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "sikachev-2010-ill_vis_vol_ren-LiveSync.avi",
                "type": "video/x-msvideo",
                "size": 9722292,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-LiveSync:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 16741,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-LiveSync:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Offline Rendering",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "sikachev-2010-ill_vis_vol_ren-Offline Rendering.wmv",
                "type": "video/x-msvideo",
                "size": 4554752,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Offline Rendering:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 26979,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Offline Rendering:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sikachev-2010-ill_vis_vol_ren-Presentation.ppt",
                "type": "",
                "size": 12167168,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Presentation.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Style Transfer Function",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 1024,
                "name": "sikachev-2010-ill_vis_vol_ren-Style Transfer Function.avi",
                "type": "video/x-msvideo",
                "size": 45491680,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Style Transfer Function:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 88323,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Style Transfer Function:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Title Figure",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 320,
                "image_height": 565,
                "name": "sikachev-2010-ill_vis_vol_ren-Title Figure.png",
                "type": "image/png",
                "size": 249139,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Title Figure:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Transfer Function Change",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1140,
                "preview_image_height": 820,
                "name": "sikachev-2010-ill_vis_vol_ren-Transfer Function Change.wmv",
                "type": "text/plain",
                "size": 5272228,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Transfer Function Change:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 64459,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Transfer Function Change.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Transfer Function Change:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Volume Shop Use Case",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 964,
                "preview_image_height": 740,
                "name": "sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case.wmv",
                "type": "text/plain",
                "size": 7015616,
                "path": "Publication:sikachev-2010-ill_vis_vol_ren",
                "preview_name": "sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 37276,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/sikachev-2010-ill_vis_vol_ren-Volume Shop Use Case:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ViMaL"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/sikachev-2010-ill_vis_vol_ren/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-2010-diff",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Diffusion Curves in 2 and 3 Dimensions",
        "date": "2010",
        "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D image generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image, the final result includes sharp boundaries along the curves with smoothly shaded regions between them.\nThe first part of the talk presents a new Laplacian surface solver for a stable rendering of DCIs. It consists of a robust rasterization technique to transform the algebraic curves to the discrete image domain, and a variable stencil size diffusion solver that solves the minimal surface problem. The solver is proven to converge to the right solution, it is at least as fast as commonly used multigrid solvers, but \nmuch simpler to implement, works for arbitrary image resolutions, as well as 8 bit data.\nThe second part of the talk extends the application of diffusion curves to render high quality surface details on 3D objects. The first extension is a view dependent warping technique that dynamically allocates more texture memory for details close to the observer. The second extension is a dynamic feature embedding technique that retains crisp, anti-aliased curve details even in extreme closeups. The third extension is the application of dynamic feature embedding to displacement mapping and geometry images. Our results show high quality \nrenderings at interactive frame rates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1585,
            "image_height": 1124,
            "name": "jeschke-2010-diff-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 5345800,
            "path": "Publication:jeschke-2010-diff",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "date_from": "2010-10-07",
        "date_to": "2010-10-08",
        "event": "Visit of MPII in Saarbruecken",
        "location": "MPII Saarbruecken",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Diffusion curves"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1585,
                "image_height": 1124,
                "name": "jeschke-2010-diff-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 5345800,
                "path": "Publication:jeschke-2010-diff",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/jeschke-2010-diff-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/jeschke-2010-diff/",
        "__class": "Publication"
    },
    {
        "id": "kuehtreiber-2010-ikph",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Inverse Kinematics for Shape Grammars",
        "date": "2010",
        "abstract": "In this project I describe the implementation of a solver of the Inverse Kinematic (IK) problem\nin an environment using shape grammar based on CGA Shape. There exists a number of different\nalgorithms for this problem, however, this report describes only the cyclic coordinate descent (CCD)\nin more detail as this is the method we implemented.\nThe implementation enabels the positioning of a certain shape so that it touches a user-specified target\npoint. The implemented algorithm rotates the shapes until the end effector is at the desired position.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 339,
            "image_height": 269,
            "name": "kuehtreiber-2010-ikph-.jpg",
            "type": "image/jpeg",
            "size": 35034,
            "path": "Publication:kuehtreiber-2010-ikph",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            841
        ],
        "date_end": "2010",
        "date_start": "2009-12-07",
        "matrikelnr": "0625431",
        "supervisor": [
            1303
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling",
            "inverse kinematics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 339,
                "image_height": 269,
                "name": "kuehtreiber-2010-ikph-.jpg",
                "type": "image/jpeg",
                "size": 35034,
                "path": "Publication:kuehtreiber-2010-ikph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kuehtreiber-2010-ikph-report.pdf",
                "type": "application/pdf",
                "size": 451310,
                "path": "Publication:kuehtreiber-2010-ikph",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/kuehtreiber-2010-ikph-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/kuehtreiber-2010-ikph/",
        "__class": "Publication"
    },
    {
        "id": "labschuetz-2010-bms",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enabling bimodal search in games by spatial sound rendering   ",
        "date": "2010",
        "abstract": "A computer game with a visual search taks was developed to investigate whether search performance can be enhanced by sounds which are spatialized with sound rendering methods (e.g. Head Related Transfer Functions). The game was prepared for a pilot user study to test the hypothesis that spatialized audio can improve performance in the game's task. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 667,
            "image_height": 418,
            "name": "labschuetz-2010-bms-image.jpg",
            "type": "image/jpeg",
            "size": 71829,
            "path": "Publication:labschuetz-2010-bms",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            840
        ],
        "date_end": "2010-04",
        "date_start": "2009-09",
        "matrikelnr": "8971103",
        "supervisor": [
            660
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 667,
                "image_height": 418,
                "name": "labschuetz-2010-bms-image.jpg",
                "type": "image/jpeg",
                "size": 71829,
                "path": "Publication:labschuetz-2010-bms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-image:thumb{{size}}.png"
            },
            {
                "description": "Report and Documentation",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "labschuetz-2010-bms-report.pdf",
                "type": "application/pdf",
                "size": 793349,
                "path": "Publication:labschuetz-2010-bms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/labschuetz-2010-bms-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2010/labschuetz-2010-bms/",
        "__class": "Publication"
    },
    {
        "id": "scherzer2009c",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Casting Shadows in Real Time",
        "date": "2009-12-17",
        "abstract": "Shadows are crucial for enhancing realism, and they provide important visual cues. In recent years, many important contributions have been made in representation of both hard shadows and soft shadows. With the tremendous increase of computational power and capabilities of graphics hardware, high-quality real-time shadows are now a reachable goal. But with the growing volume of available choices, it is particularly difficult to pick the right solution and assess product shortcomings. Because currently there is no ideal approach available, algorithms should be selected in accordance with the context in which shadows are produced. The possibilities range across a wide spectrum, from very approximate but really efficient to slower but accurate, adapted only to smaller or only to larger sources, addressing directional lights or positional lights, or involving GPU or CPU-heavy computations. This course is a guide to better understanding of the limitations and failure cases, advantages and disadvantages, and suitability of the algorithms for different application scenarios. It focuses on real-time, interactive solutions but also discusses offline approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 804,
            "image_height": 602,
            "name": "scherzer2009c-.png",
            "type": "image/png",
            "size": 242725,
            "path": "Publication:scherzer2009c",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer2009c/scherzer2009c-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer2009c/scherzer2009c-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            825,
            823,
            824,
            452
        ],
        "event": "SIGGRAPH Asia Course",
        "lecturer": [
            452
        ],
        "location": "Yokohama, Japan",
        "research_areas": [],
        "keywords": [
            "shadows",
            "real-time"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 804,
                "image_height": 602,
                "name": "scherzer2009c-.png",
                "type": "image/png",
                "size": 242725,
                "path": "Publication:scherzer2009c",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer2009c/scherzer2009c-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer2009c/scherzer2009c-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer2009c/",
        "__class": "Publication"
    },
    {
        "id": "recheis-2009-arr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Recognition of Repeating Patterns in Rectified Facade Images",
        "date": "2009-12",
        "abstract": "Building facades typically consist of multiple similar tiles which are arranged quite strictly in\ngrid-like structures. The proposed method takes advantage of translational symmetries and\nis able to analyze and segment facades into tiles assuming that there are horizontal and\nvertical repetitions of similar tiles. In order to solve this quite complex computer vision task\nefficiently a Monte Carlo approach is presented which samples only selected image features.\nThis method, which is meant to be a preprocessing step for more sophisticated tile segmentation\nand window identification in urban reconstruction tasks, is able to robustly identify\northogonal repetitive patterns on rectified facade images even if they are partially occluded,\nshadowed, blurry or otherwise damaged. Additionally, the algorithm is very running time efficient\nbecause neither quality of results nor the computational complexity are significantly\ndepending on the image size.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "facade segmentation",
            "filetitle": "figure",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 384,
            "image_height": 406,
            "name": "recheis-2009-arr-figure.jpg",
            "type": "image/jpeg",
            "size": 34611,
            "path": "Publication:recheis-2009-arr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-figure.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-figure:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            846
        ],
        "date_end": "2009",
        "date_start": "2009",
        "diploma_examina": "2009-12-16",
        "matrikelnr": "0000000",
        "supervisor": [
            190,
            844
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "facade segmentation",
                "filetitle": "figure",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 384,
                "image_height": 406,
                "name": "recheis-2009-arr-figure.jpg",
                "type": "image/jpeg",
                "size": 34611,
                "path": "Publication:recheis-2009-arr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-figure.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-figure:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "recheis-2009-arr-thesis.pdf",
                "type": "application/pdf",
                "size": 4453126,
                "path": "Publication:recheis-2009-arr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/recheis-2009-arr-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/recheis-2009-arr/",
        "__class": "Publication"
    },
    {
        "id": "SSMW09",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Soft Shadows Using Temporal  Coherence",
        "date": "2009-12",
        "abstract": "A vast amount of soft shadow map algorithms have been presented in recent years. Most use a single sample hard shadow map together with some clever filtering technique to calculate perceptually or even physically plausible soft shadows. \n\nOn the other hand there is the class of much slower algorithms that calculate physically correct soft shadows by taking and combining many samples of the light.\n\nIn this paper we present a new soft shadow method that combines the benefits of these approaches. It samples the light source over multiple frames instead of a single frame, creating only a single shadow map each frame. Where temporal coherence is low we use spatial filtering to estimate additional samples to create correct and very fast soft shadows.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "SSMW09-teaser.png",
            "type": "image/png",
            "size": 1927290,
            "path": "Publication:SSMW09",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            678,
            326,
            193
        ],
        "booktitle": "Advances in Visual Computing: 5th International Symposium on Visual Computing (ISVC 2009)",
        "date_from": "2009-11-30",
        "date_to": "2009-12-02",
        "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Kuno, Y.; Wang, J.; Pajarola, R.; Lindstrom, P.; Hinkenjann, A.; Encarnacao, M.; Silva, C.; Coming, D.",
        "isbn": "978-3642103308",
        "lecturer": [
            452
        ],
        "location": "Las Vegas, Nevada, USA",
        "pages_from": "13",
        "pages_to": "24",
        "publisher": "Springer",
        "series": "Lecture Notes in Computer Science",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "soft shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "balken",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1220,
                "image_height": 1390,
                "name": "SSMW09-balken.png",
                "type": "image/png",
                "size": 3440414,
                "path": "Publication:SSMW09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-balken.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-balken:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "big light source",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 499,
                "image_height": 560,
                "name": "SSMW09-big light source.png",
                "type": "image/png",
                "size": 527219,
                "path": "Publication:SSMW09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-big light source.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-big light source:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "camel",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1100,
                "image_height": 900,
                "name": "SSMW09-camel.png",
                "type": "image/png",
                "size": 237138,
                "path": "Publication:SSMW09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-camel.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-camel:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SSMW09-Preprint.pdf",
                "type": "application/pdf",
                "size": 14451940,
                "path": "Publication:SSMW09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-Preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "SSMW09-teaser.png",
                "type": "image/png",
                "size": 1927290,
                "path": "Publication:SSMW09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/SSMW09-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SSMW09/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-2008-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis and Visualization of Industrial CT Data",
        "date": "2009-12",
        "abstract": "Industrial X-Ray 3D computed tomography (3DCT) is on the edge of\r\nadvancing from a non destructive testing method to a fully standardized\r\nmeans of dimensional measurement for every day industrial use. Currently\r\n3DCT has drawn attention especially in the area of first part inspections of\r\nnew components, mainly in order to overcome limitations and drawbacks\r\nof common methods. Yet an increasing number of companies is benefitting\r\nfrom industrial 3DCT and sporadically the first pioneers start using industrial\r\n3DCT for quality control in the production phase of a component. As\r\n3DCT is still a very young technology of industrial quality control, this\r\nmethod also faces severe problems, which seriously affect measurement\r\nresults. Some of the major drawbacks for quality control are the following:\r\nArtefacts modify the spatial greyvalues, generating artificial structures in\r\nthe datasets, which do not correspond to reality.\r\nDiscrete sampling introduces further irregularities due to the Nyquist-\r\nShannon sampling theorem.\r\nUncertainty information is missing when extracting dimensional measurement\r\nfeatures.\r\nSpecifications and limitations of the components and the special setup a\r\n3DCT constrain the best achievable measurement precision.\r\nThis thesis contributes to the state of the art by algorithmic evaluation\r\nof typical industrial tasks in the area of dimensional measurement using\r\n3DCT. The main focus lies in the development and implementation of novel\r\npipelines for everyday industrial use including comparisons to common\r\nmethods. Convenient and easy to understand means of visualization are evaluated and used to provide insight into the generated results. In particular\r\nthree pipelines are introduced, which cover some of the major aspects\r\nconcerning metrology using industrial 3DCT. The considered aspects\r\nare robust surface extraction, artefact reduction via dual energy CT, local\r\nsurface extraction of multi-material components, and statistical analysis\r\nof multi-material components. The generated results of each pipeline are\r\ndemonstrated and verified using test specimens as well as real world components.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1008,
            "image_height": 904,
            "name": "heinzl-2008-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 96234,
            "path": "Publication:heinzl-2008-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611
        ],
        "co_supervisor": [
            693
        ],
        "date_end": "2009-01",
        "date_start": "2005-07",
        "rigorosum": "2009-01-20",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1008,
                "image_height": 904,
                "name": "heinzl-2008-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 96234,
                "path": "Publication:heinzl-2008-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "heinzl-2008-thesis-paper.pdf",
                "type": "application/pdf",
                "size": 12274968,
                "path": "Publication:heinzl-2008-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/heinzl-2008-thesis-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "External"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/heinzl-2008-thesis/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-09-rendering",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Surface Details with Diffusion Curves",
        "date": "2009-12",
        "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D image generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image, the final result includes sharp boundaries along\nthe curves with smoothly shaded regions between them. This paper extends the application of diffusion curves to render high quality surface details on 3D objects. The first extension is a view dependent warping technique that dynamically reallocates texture space\nso that object parts that appear large on screen get more texture for increased detail. The second extension is a dynamic feature embedding technique that retains crisp, anti-aliased curve details even in\nextreme closeups. The third extension is the application of dynamic feature embedding to displacement mapping and geometry images. Our results show high quality renderings of diffusion curve textures, displacements, and geometry images, all rendered interactively.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example for diffusion curves rendered on objects.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1560,
            "image_height": 1115,
            "name": "jeschke-09-rendering-image.jpg",
            "type": "image/jpeg",
            "size": 521894,
            "path": "Publication:jeschke-09-rendering",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            809,
            194
        ],
        "booktitle": "Transactions on Graphics (Siggraph Asia 2009)",
        "date_from": "2009-12-16",
        "date_to": "2009-12-19",
        "event": "Siggraph Asia",
        "issn": "0730-0301",
        "journal": "Transaction on Graphics (Siggraph Asia 2009)",
        "lecturer": [
            356
        ],
        "location": "Yokohama",
        "number": "5",
        "organization": "ACM",
        "pages_from": "1",
        "pages_to": "8",
        "publisher": "ACM Press",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Geometry images",
            "Displacement mapping",
            "Diffusion curves",
            "Line and Curve rendering "
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Example for diffusion curves rendered on objects.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1560,
                "image_height": 1115,
                "name": "jeschke-09-rendering-image.jpg",
                "type": "image/jpeg",
                "size": 521894,
                "path": "Publication:jeschke-09-rendering",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-09-rendering-paper.pdf",
                "type": "application/pdf",
                "size": 13603624,
                "path": "Publication:jeschke-09-rendering",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-paper:thumb{{size}}.png"
            },
            {
                "description": "additional results",
                "filetitle": "results",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-09-rendering-results.pdf",
                "type": "application/pdf",
                "size": 8215961,
                "path": "Publication:jeschke-09-rendering",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-results.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-results:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "jeschke-09-rendering-video.avi",
                "type": "video/x-msvideo",
                "size": 58348238,
                "path": "Publication:jeschke-09-rendering",
                "preview_name": "jeschke-09-rendering-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5344,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/jeschke-09-rendering-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-rendering/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-09-solver",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A GPU Laplacian Solver for Diffusion Curves and Poisson Image Editing",
        "date": "2009-12",
        "abstract": "We present a new Laplacian solver for minimal surfaces—surfaces having a mean curvature of zero everywhere except at some fixed (Dirichlet) boundary conditions. Our solution has two main contributions: First, we provide a robust rasterization technique to transform continuous boundary values (diffusion curves) to a discrete domain. Second, we define a variable stencil size diffusion solver that solves the minimal surface problem. We prove that the solver converges to the right solution, and demonstrate that it is at least as fast as commonly proposed multigrid solvers, but much simpler to implement. It also works for arbitrary image resolutions, as well\r\nas 8 bit data. We show examples of robust diffusion curve rendering\r\nwhere our curve rasterization and diffusion solver eliminate the strobing artifacts present in previous methods. We also show results for real-time seamless cloning and stitching of large image panoramas.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "examples for animated diffusion curves",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2100,
            "image_height": 1134,
            "name": "jeschke-09-solver-image.jpg",
            "type": "image/jpeg",
            "size": 592105,
            "path": "Publication:jeschke-09-solver",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            809,
            194
        ],
        "booktitle": "Transactions on Graphics (Siggraph Asia 2009)",
        "date_from": "2009-12-16",
        "date_to": "2009-12-19",
        "event": "Siggraph Asia",
        "issn": "0730-0301",
        "journal": "Transaction on Graphics (Siggraph Asia 2009)",
        "lecturer": [
            356
        ],
        "location": "Yokohama, Japan",
        "number": "5",
        "organization": "ACM",
        "pages_from": "1",
        "pages_to": "8",
        "publisher": "ACM Press",
        "volume": "28",
        "research_areas": [],
        "keywords": [
            "Poisson equation",
            "Line and Curve rendering ",
            "Diffusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "examples for animated diffusion curves",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2100,
                "image_height": 1134,
                "name": "jeschke-09-solver-image.jpg",
                "type": "image/jpeg",
                "size": 592105,
                "path": "Publication:jeschke-09-solver",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-09-solver-paper.pdf",
                "type": "application/pdf",
                "size": 10122841,
                "path": "Publication:jeschke-09-solver",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-paper:thumb{{size}}.png"
            },
            {
                "description": "binary and source of the DCI viewer",
                "filetitle": "software",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-09-solver-software.zip",
                "type": "application/zip",
                "size": 680386,
                "path": "Publication:jeschke-09-solver",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-software.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "jeschke-09-solver-video.avi",
                "type": "video/x-msvideo",
                "size": 14195512,
                "path": "Publication:jeschke-09-solver",
                "preview_name": "jeschke-09-solver-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24665,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/jeschke-09-solver-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-solver/",
        "__class": "Publication"
    },
    {
        "id": "malik-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/12564",
        "title": "Feature Centric Volume Visualization",
        "date": "2009-12",
        "abstract": "This thesis presents techniques and algorithms for the effective exploration of volumetric datasets. The Visualization techniques are designed to focus on user specified features of interest. The proposed techniques are grouped into four chapters namely feature peeling, computation and visualization of fabrication artifacts, locally adaptive marching cubes, and comparative visualization for parameter studies of dataset series. The presented methods enable the user to efficiently explore the volumetric dataset for features of interest.\n\nFeature peeling is a novel rendering algorithm that analyzes ray profiles along lines of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold is based on the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers.\n\nFabrication artifacts are of prime importance for quality control engineers for first part inspection of industrial components. Techniques are presented in this thesis to measure fabrication artifacts through direct comparison of a reference CAD model with the corresponding industrial 3D X-ray computed tomography volume. Information from the CAD model is used to locate corresponding points in the volume\ndata. Then various comparison metrics are computed to measure differences\n(fabrication artifacts) between the CAD model and the volumetric dataset. The\ncomparison metrics are classified as either geometry-driven comparison techniques or visual-driven comparison techniques.\n\nThe locally adaptive marching cubes algorithm is a modification of the marching cubes algorithm where instead of a global iso-value, each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations,\nand other artifacts introduced by the measurement process. It can also be used for blending between different iso-surfaces (e.g., skin, and bone in a medical dataset).\n\nComparative visualization techniques are proposed to carry out parameter studies for the special application area of dimensional measurement using industrial\n3D X-ray computed tomography. A dataset series is generated by scanning a specimen multiple times by varying parameters of the scanning device. A\nhigh resolution series is explored using a planar reformatting based  visualization system. A multi-image view and an edge explorer are proposed for comparing and visualizing gray values and edges of several datasets simultaneously. For fast data retrieval and convenient usability the datasets are bricked and efficient data structures are used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1171,
            "name": "malik-thesis-.png",
            "type": "image/png",
            "size": 256612,
            "path": "Publication:malik-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607
        ],
        "date_end": "2009-12",
        "date_start": "2005-12",
        "open_access": "yes",
        "pages": "105",
        "reviewer_2": [
            171
        ],
        "rigorosum": "2009-12-11",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "marching cubes",
            "feature peeling",
            "difference measurement",
            "multiple datasets",
            "parameter visualization",
            "comparative visualization",
            "industrial computed tomography",
            "volume visualization",
            "fabrication artifacts",
            "magnetic resonance imaging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1171,
                "name": "malik-thesis-.png",
                "type": "image/png",
                "size": 256612,
                "path": "Publication:malik-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Chapter 2 - video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "malik-thesis-Chapter 2 - video.avi",
                "type": "video/x-msvideo",
                "size": 4898082,
                "path": "Publication:malik-thesis",
                "preview_name": "malik-thesis-Chapter 2 - video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 23136,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 2 - video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 2 - video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 2 - video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Chapter 3 - video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "malik-thesis-Chapter 3 - video.AVI",
                "type": "video/x-msvideo",
                "size": 15905826,
                "path": "Publication:malik-thesis",
                "preview_name": "malik-thesis-Chapter 3 - video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 19767,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video.AVI",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 3 - video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Chapter 4 - video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "malik-thesis-Chapter 4 - video.wmv",
                "type": "text/plain",
                "size": 22912644,
                "path": "Publication:malik-thesis",
                "preview_name": "malik-thesis-Chapter 4 - video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 20616,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 4 - video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 4 - video:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Chapter 5 - video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 768,
                "name": "malik-thesis-Chapter 5 - video.avi",
                "type": "video/x-msvideo",
                "size": 64452474,
                "path": "Publication:malik-thesis",
                "preview_name": "malik-thesis-Chapter 5 - video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30401,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Chapter 5 - video:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "malik-thesis-Thesis.pdf",
                "type": "application/pdf",
                "size": 98829317,
                "path": "Publication:malik-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/malik-thesis-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-thesis/",
        "__class": "Publication"
    },
    {
        "id": "grosse-2009-avp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Audio-Visual Perception in Interactive Virtual Environments",
        "date": "2009-12",
        "abstract": "Interactive virtual environments (VEs) are gaining more and more fidelity. Their high\r\nquality stimuli undoubtedly increase the feeling of presence and immersion as “being\r\nin the world”, but maybe they also affect user’s performance on specific tasks. Vision\r\nand spatial hearing are the main contributors of our perception. Sight dominates\r\nclearly and has been in the focus of research for a long time, but maybe it is the audiovisual\r\ncombination which facilitates the user in his decision making and in completing\r\na task.\r\nMere identification of the task is not enough. Of course one could find dozens of problems\r\nwhere spatial sound reproduction has a practical relevance. More interesting are\r\nthose which reside on a high cognitive level. Tasks that combine visual stimuli and auditive\r\nperception with movement provide a wide field of activity like for example crossing\r\na busy road, an every day task that contains a high information density and demands\r\nfast processing by the brain. But how does hearing have an impact on this? Does spatial\r\naudio lead to better performance? Can one adjust naturalistic, spatialized hearing virtually?\r\nThis diploma thesis asseses the effect of spatial sound reproduction compared\r\nto conventional stereo sound or no sound at all. Within the scope of the practical part,\r\na simulator was implemented to produce a virtual street crossing experiment. It was\r\nlater used to perform a study with volunteer participants.\r\nThe results give evidence that there is a statistically significant difference between spatialized\r\nsound rendering compared to stereo sound or no sound. In the future this can\r\nnot be used solely to boost the naturalistic fidelity and authenticity of a virtual environment\r\nbut also as a user supportive measure.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 417,
            "image_height": 299,
            "name": "grosse-2009-avp-image.jpg",
            "type": "image/jpeg",
            "size": 61690,
            "path": "Publication:grosse-2009-avp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            838
        ],
        "diploma_examina": "2009-12-07",
        "supervisor": [
            193,
            660
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 417,
                "image_height": 299,
                "name": "grosse-2009-avp-image.jpg",
                "type": "image/jpeg",
                "size": 61690,
                "path": "Publication:grosse-2009-avp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grosse-2009-avp-paper.pdf",
                "type": "application/pdf",
                "size": 6181000,
                "path": "Publication:grosse-2009-avp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/grosse-2009-avp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/grosse-2009-avp/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2009-BVQ",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "BrainGazer - Visual Queries for Neurobiology Research",
        "date": "2009-11",
        "abstract": "Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented BrainGazer, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Visualization of neural clusters in the fly brain",
            "filetitle": "Flybrain",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1020,
            "image_height": 553,
            "name": "bruckner-2009-BVQ-Flybrain.jpg",
            "type": "image/jpeg",
            "size": 118424,
            "path": "Publication:bruckner-2009-BVQ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            896,
            166,
            187,
            231,
            821,
            820
        ],
        "date_from": "2009-10-11",
        "date_to": "2009-10-16",
        "event": "IEEE Visualization 2009",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            161
        ],
        "location": "Atlantic City, New Jersey, USA",
        "number": "6",
        "pages_from": "1497",
        "pages_to": "1504",
        "volume": "15",
        "research_areas": [],
        "keywords": [
            "biomedical visualization",
            "neurobiology",
            "visual queries",
            "volume visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visualization of neural clusters in the fly brain",
                "filetitle": "Flybrain",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1020,
                "image_height": 553,
                "name": "bruckner-2009-BVQ-Flybrain.jpg",
                "type": "image/jpeg",
                "size": 118424,
                "path": "Publication:bruckner-2009-BVQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Flybrain:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2009-BVQ-Paper.pdf",
                "type": "application/pdf",
                "size": 28390882,
                "path": "Publication:bruckner-2009-BVQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Paper:thumb{{size}}.png"
            },
            {
                "description": "Video demonstration of the BrainGazer system (DivX codec)",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1068,
                "preview_image_height": 652,
                "name": "bruckner-2009-BVQ-Video.avi",
                "type": "video/x-msvideo",
                "size": 32610624,
                "path": "Publication:bruckner-2009-BVQ",
                "preview_name": "bruckner-2009-BVQ-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41177,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/bruckner-2009-BVQ-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/",
        "__class": "Publication"
    },
    {
        "id": "musialski-2009-sbfr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Symmetry-Based Facade Repair",
        "date": "2009-11",
        "abstract": "In this paper we address the problem of removing unwanted image content in a single orthographic facade image. We exploit the regular structure present in building facades and introduce propagation process that is guided by the symmetry prevalent in the image. It removes larger unwanted image objects such as traffic lights, street signs, or cables as well as smaller noise, such as reflections in the windows. The output is intended as source for textures in  urban reconstruction projects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 221,
            "image_height": 89,
            "name": "musialski-2009-sbfr-image.jpg",
            "type": "image/jpeg",
            "size": 20422,
            "path": "Publication:musialski-2009-sbfr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            844,
            194,
            846,
            228,
            190
        ],
        "booktitle": "Vision, Modeling, and Visualization Workshop 2009",
        "date_from": "2009-11-16",
        "date_to": "2009-11-18",
        "editor": "Marcus Magnor, Bodo Rosenhahn, Holger Theisel ",
        "isbn": "978-3980487481",
        "lecturer": [
            844
        ],
        "location": "Braunschweig",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 221,
                "image_height": 89,
                "name": "musialski-2009-sbfr-image.jpg",
                "type": "image/jpeg",
                "size": 20422,
                "path": "Publication:musialski-2009-sbfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "musialski-2009-sbfr-paper.pdf",
                "type": "application/pdf",
                "size": 6476585,
                "path": "Publication:musialski-2009-sbfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/musialski-2009-sbfr-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/musialski-2009-sbfr/",
        "__class": "Publication"
    },
    {
        "id": "vucini-2009-phd",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Visualization and Reconstruction from Non-uniform Point Sets",
        "date": "2009-11",
        "abstract": "Technological and research advances in both acquisition and simulation devices provide continuously increasing high-resolution volumetric data that by far exceed today's graphical and display capabilities. Non-uniform representations offer a way of balancing this deluge of data by adaptively measuring (sampling) according to the importance (variance) of the data. Also, in many real-life situations the data are known only on a non-uniform representation. \r\n\r\nProcessing of non-uniform data is a non-trivial task and hence more difficult when compared to processing of regular data. Transforming from non-uniform to uniform representations is a well-accepted paradigm in the signal processing community. In this thesis we advocate such a concept. The main motivation for adopting this paradigm is that most of the techniques and methods related to signal processing, data mining and data exploration are well-defined and stable for Cartesian data, but generally are non-trivial to apply to non-uniform data. Among other things, \r\nthis will allow us to better exploit the capabilities of modern GPUs.\r\n\r\nIn non-uniform representations sampling rates can vary drastically even by several orders of magnitude, making the decision on a target resolution a non-trivial trade-off between accuracy and efficiency. In several cases the points are spread non-uniformly with similar density across the volume, while in other cases the points have an enormous variance in distribution. In this thesis we present solutions to both cases. For the first case we suggest computing reconstructions of the same volume in different resolutions based on the level of detail we are interested in. The second case scenario is the main motivation for proposing a multi-resolution scheme, where the scale of reconstruction is decided adaptively based on the number of points in each subregion of the whole volume.\r\n\r\nWe introduce a novel framework for 3D reconstruction and visualization from non-uniform scalar and vector data. We adopt a variational reconstruction approach. In this method non-uniform point sets are transformed to a uniform representation consisting of B-spline coefficients that are attached to the grid. With these coefficients we can define a C2 continuous function across the whole volume. Several testings were performed in order to analyze and fine-tune our framework. All the testings and the results of this thesis offer a view from a new and different perspective to the visualization and reconstruction from non-uniform point sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 707,
            "image_height": 492,
            "name": "vucini-2009-phd-Teaser.jpg",
            "type": "image/jpeg",
            "size": 125012,
            "path": "Publication:vucini-2009-phd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636
        ],
        "date_end": "2009",
        "date_start": "2006",
        "rigorosum": "2009-11-27",
        "supervisor": [
            166,
            196
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 707,
                "image_height": 492,
                "name": "vucini-2009-phd-Teaser.jpg",
                "type": "image/jpeg",
                "size": 125012,
                "path": "Publication:vucini-2009-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-Teaser:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vucini-2009-phd-thesis.pdf",
                "type": "application/pdf",
                "size": 31491937,
                "path": "Publication:vucini-2009-phd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/vucini-2009-phd-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini-2009-phd/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2009-PGL",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Generation of L-Systems",
        "date": "2009-11",
        "abstract": "This paper introduces a solution to compute L-systems on parallel architectures like GPUs and multi-core CPUs. Our solution can split the derivation of the L-system as well as the interpretation and geometry generation into thousands of threads running in parallel. We introduce a highly parallel algorithm for L-system evaluation that works on arbitrary L-systems, including parametric productions, context sensitive productions, stochastic production selection, and productions with side effects. Further we directly interpret the productions defined in plain-text, without requiring any compilation or transformation step (e.g., into shaders). Our algorithm is efficient in the sense that it requires no explicit inter-thread communication or atomic operations, and is thus completely lock free.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1597,
            "image_height": 1136,
            "name": "LIPP-2009-PGL-image.jpg",
            "type": "image/jpeg",
            "size": 1177798,
            "path": "Publication:LIPP-2009-PGL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680,
            194,
            193
        ],
        "booktitle": "Vision, Modeling, and Visualization Workshop (VMV) 2009 ",
        "date_from": "2009-11-16",
        "date_to": "2009-11-18",
        "editor": "Marcus Magnor, Bodo Rosenhahn, Holger Theisel",
        "isbn": "978-3980487481",
        "lecturer": [
            680
        ],
        "location": "Braunschweig",
        "pages_from": "205",
        "pages_to": "214",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1597,
                "image_height": 1136,
                "name": "LIPP-2009-PGL-image.jpg",
                "type": "image/jpeg",
                "size": 1177798,
                "path": "Publication:LIPP-2009-PGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LIPP-2009-PGL-paper.pdf",
                "type": "application/pdf",
                "size": 2012473,
                "path": "Publication:LIPP-2009-PGL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/LIPP-2009-PGL-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2009-rus",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Editing of Grammars for Procedural Architecture",
        "date": "2009-10-20",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            680
        ],
        "event": "Visual Computing in Fundamental, Academic and Applied Science and Research",
        "lecturer": [
            190
        ],
        "location": "Moskau, Russia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Purgathofer-2009-rus/",
        "__class": "Publication"
    },
    {
        "id": "opitz-2009-cvv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Classification and Visualization of Volume Data using Clustering",
        "date": "2009-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 532,
            "name": "opitz-2009-cvv-image.jpg",
            "type": "image/jpeg",
            "size": 75227,
            "path": "Publication:opitz-2009-cvv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            835
        ],
        "diploma_examina": "2009-10",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 532,
                "name": "opitz-2009-cvv-image.jpg",
                "type": "image/jpeg",
                "size": 75227,
                "path": "Publication:opitz-2009-cvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "opitz-2009-cvv-paper.pdf",
                "type": "application/pdf",
                "size": 11236710,
                "path": "Publication:opitz-2009-cvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/opitz-2009-cvv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/opitz-2009-cvv/",
        "__class": "Publication"
    },
    {
        "id": "patel-2009-evr",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Expressive Visualization and Rapid Interpretation of Seismic Volumes",
        "date": "2009-10",
        "abstract": "One of the most important resources in the world today is energy. Oil and gas provide\r\ntwo thirds of the world energy consumption, making the world completely dependent on\r\nit. Locating and recovering the remaining oil and gas reserves will be of high focus in society\r\nuntil competitive energy sources are found. The search for hydrocarbons is broadly\r\nspeaking the topic of this thesis. Seismic measurements of the subsurface are collected to\r\ndiscover oil and gas trapped in the ground. Identifying oil and gas in the seismic measurements\r\nrequires visualization and interpretation. Visualization is needed to present\r\nthe data for further analysis. Interpretation is performed to identify important structures.\r\nVisualization is again required for presenting these structures to the user. This\r\nthesis investigates how computer assistance in producing high-quality visualizations and\r\nin interpretation can result in expressive visualization and rapid interpretation of seismic\r\nvolumes. Expressive visualizations represent the seismic data in an easily digestible, intuitive\r\nand pedagogic form. This enables rapid interpretation which accelerates the \fnding\r\nof important structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 523,
            "image_height": 383,
            "name": "patel-2009-evr-image.jpg",
            "type": "image/jpeg",
            "size": 50125,
            "path": "Publication:patel-2009-evr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616
        ],
        "date_end": "2009",
        "date_start": "2005",
        "rigorosum": "2009-10-27",
        "supervisor": [
            668,
            176,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 523,
                "image_height": 383,
                "name": "patel-2009-evr-image.jpg",
                "type": "image/jpeg",
                "size": 50125,
                "path": "Publication:patel-2009-evr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel-2009-evr-paper.pdf",
                "type": "application/pdf",
                "size": 7620421,
                "path": "Publication:patel-2009-evr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/patel-2009-evr-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-evr/",
        "__class": "Publication"
    },
    {
        "id": "fritz-2009-ava",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Visual Approach to Efficient Analysis and Quantification of Ductile Iron and Reinforced Sprayed Concrete",
        "date": "2009-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 4426,
            "image_height": 2849,
            "name": "fritz-2009-ava-image.jpg",
            "type": "image/jpeg",
            "size": 910864,
            "path": "Publication:fritz-2009-ava",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            775,
            226,
            833,
            834,
            166
        ],
        "date_from": "2009-10-11",
        "date_to": "2009-10-16",
        "event": "IEEE Visualization",
        "issn": "1077-2626",
        "journal": "IEEE TVCG",
        "lecturer": [
            226
        ],
        "location": "Atlantic City, New Jersey, USA",
        "number": "6",
        "pages_from": "1343",
        "pages_to": "1350",
        "volume": "15",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 4426,
                "image_height": 2849,
                "name": "fritz-2009-ava-image.jpg",
                "type": "image/jpeg",
                "size": 910864,
                "path": "Publication:fritz-2009-ava",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fritz-2009-ava-paper.pdf",
                "type": "application/pdf",
                "size": 6006903,
                "path": "Publication:fritz-2009-ava",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/fritz-2009-ava-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ava/",
        "__class": "Publication"
    },
    {
        "id": "fuchs_vhml",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Human+Machine Learning",
        "date": "2009-10",
        "abstract": "In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combines the vast search and processing power of the computer with the superior reasoning and pattern recognition capabilities of the human user. An evolutionary search algorithm has been adapted to assist in the fuzzy logic formalization of hypotheses that aim at explaining features inside multivariate, volumetric data. Up to now, users solely rely on their knowledge and expertise when looking for explanatory theories. However, it often remains unclear whether the selected attribute ranges represent the real explanation for the feature of interest. Other selections hidden in the large number of data variables could potentially lead to similar features. Moreover, as simulation complexity grows, users are confronted with huge multidimensional data sets making it almost impossible to find meaningful hypotheses at all. We propose an interactive cycle of knowledge-based analysis and automatic hypothesis generation. Starting from initial hypotheses, created with linking and brushing, the user steers a heuristic search algorithm to look for alternative or related hypotheses. The results are analyzed in information visualization views that are linked to the volume rendering. Individual properties as well as global aggregates are visually presented to provide insight into the most relevant aspects of the generated hypotheses. This novel approach becomes computationally feasible due to a GPU implementation of the time-critical parts in the algorithm. A thorough evaluation of search times and noise sensitivity as well as a case study on data from the automotive domain substantiate the usefulness of the suggested approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Human + Machine",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 540,
            "image_height": 560,
            "name": "fuchs_vhml-Teaser.jpg",
            "type": "image/jpeg",
            "size": 38977,
            "path": "Publication:fuchs_vhml",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672,
            798,
            166
        ],
        "date_from": "2009-10-11",
        "date_to": "2009-10-16",
        "event": "IEEE Visualization",
        "issn": "1077-2626",
        "journal": "IEEE TVCG",
        "lecturer": [
            672
        ],
        "location": "Atlantic City, New Jersey, USA",
        "number": "6",
        "pages_from": "1327",
        "pages_to": "1334",
        "volume": "15",
        "research_areas": [],
        "keywords": [
            "Volumetric Data",
            "Interactive Visual Analysis",
            "Knowledge Discovery",
            "Genetic Algorithm",
            "Curse of Dimensionality",
            "Predictive Analysis",
            "Computer-assisted Multivariate Data Expl",
            "Multiple Competing Hypotheses"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Curse of dimensionality for IVA. In the space of all possible hypotheses it is not clear if the current one is the only candidate. This is a common problem engineers encounter when they use standard IVA methods (linking and brushing) for making sense of multidimensional simulation results. Secondly, searching for a hypothesis to explain a given spatial feature can be almost impossible for the user.",
                "filetitle": "Image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 576,
                "name": "fuchs_vhml-Image2.jpg",
                "type": "image/jpeg",
                "size": 95086,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image2:thumb{{size}}.png"
            },
            {
                "description": "We propose the extension of human learning with machine learning, comprising a genetic algorithm that efficiently searches for the best hypotheses available.",
                "filetitle": "Image3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 551,
                "name": "fuchs_vhml-Image3.jpg",
                "type": "image/jpeg",
                "size": 60474,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image3:thumb{{size}}.png"
            },
            {
                "description": "Interaction example. (1) The user has the idea that attributes $a_8$ and $a_9$ describe a feature of interest. The resulting feature is shown in a rendering to the right. (2) The user runs the machine learning algorithm to search for hypotheses. The best resulting hypothesis has 65\\% fitness. The coloring (dark green) shows that attributes $a_0$ and $a_1$ are important in the entire population. (3) The user deactivates genes on other attributes and the fitness increases. (4) Via interactive visual analysis, the user improves the hypothesis. It is still unclear whether there are alternative hypotheses. (5) A larger search has found an alternative hypothesis. (6) The alternative explanation consists of two clauses combined by conjunction (AND). If one of the two clauses is missing, the feature vanishes. (7) The first clause contains the disjunction (OR) of multiple selections. Attributes $a_2$, $a_3$ select the shape \"Vis\" only. (8) Automatic local optimization via hill climbing finds the optimal selections.",
                "filetitle": "Image4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1641,
                "image_height": 622,
                "name": "fuchs_vhml-Image4.jpg",
                "type": "image/jpeg",
                "size": 149274,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image4.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image4:thumb{{size}}.png"
            },
            {
                "description": "Fuzzy logic hypotheses. The hypothesis is visualized as a stack of filter layers (clauses) with partially-transparent regions (fuzzy selections).  The overlapping layers have a selective filter effect on the data items (spheres) above. While fully selected in the beginning (red), some of the spheres are being re-colored when falling through the stack. Less selected items receive higher desaturation, becoming grey if deselected.",
                "filetitle": "Image5",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 977,
                "image_height": 766,
                "name": "fuchs_vhml-Image5.jpg",
                "type": "image/jpeg",
                "size": 79139,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image5.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image5:thumb{{size}}.png"
            },
            {
                "description": "Local ranking. For evaluating the rank of a hypothesis (grey number on the podiums), the current hypothesis (blue) is competing with its nearest neighbors in resemblance space. The higher its feature similarity (higher podium), the higher its rank. The individuality is then computed as the resemblance to the users hypothesis (brown), weighted with respect to the evaluated rank.",
                "filetitle": "Image6",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 416,
                "name": "fuchs_vhml-Image6.jpg",
                "type": "image/jpeg",
                "size": 26249,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image6.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image6:thumb{{size}}.png"
            },
            {
                "description": "Performance analysis: The search algorithm has been tested on synthetic data at different noise levels. The left graph shows the number of generations needed until a feature similarity of 0.8 has been reached. The right plot shows the related timing results.",
                "filetitle": "Image7",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 536,
                "image_height": 197,
                "name": "fuchs_vhml-Image7.jpg",
                "type": "image/jpeg",
                "size": 16106,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image7.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image7:thumb{{size}}.png"
            },
            {
                "description": "Case study story: The engineer knows that there are critical temperatures inside the data set. An initial search     shows that density and temperature are highly related since vaporized coolant has low density. The user adjusts his     hypothesis to *hot AND vapor* and starts a larger search, but there is no single best solution. He analyzes     the attribute ranges with the highest fitness and finds multiple hypotheses which can explain the hot temperatures     at different locations in the data set. A: where pressure is high, the vapor could be compressed too much. B: where     recirculation areas appear, the fluid transport could be hindered. C: vortex regions could trap hot fluid inside.",
                "filetitle": "Image8",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 586,
                "name": "fuchs_vhml-Image8.jpg",
                "type": "image/jpeg",
                "size": 164250,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image8.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image8:thumb{{size}}.png"
            },
            {
                "description": "Feature comparison: (top) Temperature distribution in a plane. (A-C) Selected areas correspond to the findings     in Figure 8. We can see that the different variables explain different but partially overlapping subsets of the fluid.",
                "filetitle": "Image9",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 555,
                "name": "fuchs_vhml-Image9.jpg",
                "type": "image/jpeg",
                "size": 71917,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image9.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Image9:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs_vhml-Paper.pdf",
                "type": "application/pdf",
                "size": 37542863,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Paper:thumb{{size}}.png"
            },
            {
                "description": "Human + Machine",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 540,
                "image_height": 560,
                "name": "fuchs_vhml-Teaser.jpg",
                "type": "image/jpeg",
                "size": 38977,
                "path": "Publication:fuchs_vhml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/fuchs_vhml-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs_vhml/",
        "__class": "Publication"
    },
    {
        "id": "fuchs-pcs-2009",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Predictor-Corrector Schemes for Visualization of Smoothed Particle Hydrodynamics Data",
        "date": "2009-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1023,
            "image_height": 846,
            "name": "fuchs-pcs-2009-image.jpg",
            "type": "image/jpeg",
            "size": 231304,
            "path": "Publication:fuchs-pcs-2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            829,
            672,
            830,
            695
        ],
        "date_from": "2009-10-11",
        "date_to": "2009-10-16",
        "event": "IEEE Visualization",
        "issn": "1077-2626",
        "journal": "IEEE TVCG",
        "lecturer": [
            829
        ],
        "location": "Atlantic City, New Jersey, USA",
        "number": "6",
        "pages_from": "1243",
        "pages_to": "1250",
        "volume": "15",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1023,
                "image_height": 846,
                "name": "fuchs-pcs-2009-image.jpg",
                "type": "image/jpeg",
                "size": 231304,
                "path": "Publication:fuchs-pcs-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs-pcs-2009-paper.pdf",
                "type": "application/pdf",
                "size": 18266898,
                "path": "Publication:fuchs-pcs-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/fuchs-pcs-2009-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-pcs-2009/",
        "__class": "Publication"
    },
    {
        "id": "beyer-2009-gpu",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU-based Multi-Volume Rendering of Complex Data in Neuroscience and Neurosurgery",
        "date": "2009-10",
        "abstract": "Recent advances in image acquisition technology and its availability in the medical\r\nand bio-medical fields have lead to an unprecedented amount of high-resolution\r\nimaging data. However, the inherent complexity of this data, caused by its\r\ntremendous size, complex structure or multi-modality poses several challenges\r\nfor current visualization tools. Recent developments in graphics hardware architecture\r\nhave increased the versatility and processing power of today’s GPUs to\r\nthe point where GPUs can be considered parallel scientific computing devices.\r\nThe work in this thesis builds on the current progress in image acquisition\r\ntechniques and graphics hardware architecture to develop novel 3D visualization\r\nmethods for the fields of neurosurgery and neuroscience.\r\nThe first part of this thesis presents an application and framework for planning\r\nof neurosurgical interventions. Concurrent GPU-based multi-volume rendering\r\nis used to visualize multiple radiological imaging modalities, delineating\r\nthe patient’s anatomy, neurological function, and metabolic processes. Additionally,\r\nnovel interaction metaphors are introduced, allowing the surgeon to plan\r\nand simulate the surgial approach to the brain based on the individual patient\r\nanatomy.\r\nThe second part of this thesis focuses on GPU-based volume rendering techniques\r\nfor large and complex EM data, as required in the field of neuroscience.\r\nA new mixed-resolution volume ray-casting approach is presented, which circumvents\r\nartifacts at block boundaries of different resolutions. NeuroTrace is introduced,\r\nan application for interactive segmentation and visualization of neural\r\nprocesses in EM data. EM data is extremely dense, heavily textured and exhibits\r\na complex structure of interconnected nerve cells, making it difficult to achieve\r\nhigh-quality volume renderings. Therefore, this thesis presents a novel on-demand\r\nnonlinear noise removal and edge detection method which allows to enhance important\r\nstructures (e.g., myelinated axons) while de-emphasizing less important\r\nregions of the data. In addition to the methods and concepts described above,\r\nthis thesis tries to bridge the gap between state-of-the-art visualization research\r\nand the use of those visualization methods in actual medical and bio-medical\r\napplications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 567,
            "image_height": 534,
            "name": "beyer-2009-gpu-image.jpg",
            "type": "image/jpeg",
            "size": 96953,
            "path": "Publication:beyer-2009-gpu",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            818
        ],
        "date_end": "2009",
        "rigorosum": "2009-11-27",
        "supervisor": [
            226,
            231,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 567,
                "image_height": 534,
                "name": "beyer-2009-gpu-image.jpg",
                "type": "image/jpeg",
                "size": 96953,
                "path": "Publication:beyer-2009-gpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "beyer-2009-gpu-paper.pdf",
                "type": "application/pdf",
                "size": 13787283,
                "path": "Publication:beyer-2009-gpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/beyer-2009-gpu-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beyer-2009-gpu/",
        "__class": "Publication"
    },
    {
        "id": "traxler-2009-dhm",
        "type_id": "WorkshopTalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Design of the Harris Matrix Composer, a new  tool to create and edit Harris Matrices ",
        "date": "2009-09-17",
        "abstract": "The Harris Matrix - formulated by Dr. Edward C. Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining stratigraphic relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for analysis. The theory was recently extended to distinguish between two types of stratigraphic units, deposits and surfaces. Deposits represent layers that are dug away and hence are volumetric data, whereas surfaces represent immaterial interfaces between layers of stratigraphy. Based on the analysis of finds and samples temporal relations, like “later” or “contemporary” can be set to supplement stratigraphic ones. The analysis also results in a division of stratigraphic units into phases and periods. Phases are structural entities, like post-holes of an ancient dwelling. Periods represent a certain historical epoch. Since this extension of the theory is not considered by any tool, we decided to design and develop a new one, the Harris Matrix Composer (HMC). With the HMC a Harris Matrix can be created and edited by drawing its graph structure with an intuitive and easy to use GUI. A layout mechanism arranges units into a top-down structure that reflects their stratigraphic and temporal relations. The validity checker helps users to avoid errors. The HMC will have an interface to a GIS system to access digital archaeological data by selecting units, phases or periods in the Harris Matrix and hence in a meaningful way for analysis. In that respect it will close a gap in the archaeological toolbox.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            480,
            237
        ],
        "address": "Austrian Academy of Sciences, Sonnenfelsgasse 19 , A-1010 Vienna ",
        "date_from": "2008-09-17",
        "date_to": "2008-09-19",
        "event": "\"35 Jahre Harris Matrix\" - International Conference on Archaeological Stratigraphy",
        "lecturer": [
            237
        ],
        "location": "Vienna, Austria",
        "organization": "Austrian Academy of Sciences, VIAS - Vienna Institute for Archaeological Science, University of Vienna and the Bermuda Maritime Museum.",
        "publisher": "Austrian Academy of Sciences",
        "research_areas": [],
        "keywords": [
            "GUI Design",
            "Usability",
            "Archaeological Stratigraphy",
            "Harris Matrix"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "LEOPOLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/traxler-2009-dhm/",
        "__class": "Publication"
    },
    {
        "id": "SCHEIBLAUER-2009-IDCE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Domitilla Catacomb Exploration",
        "date": "2009-09",
        "abstract": "In this paper we present an approach for interactive visualization and manipulation of huge point clouds. Archaeological monuments like the Domitilla Catacomb in Rome lead to data sets surpassing 1 Billion points or 20GB of storage space, which makes standard techniques like mesh conversion or in-core point-based rendering infeasible. Our system uses an out-of-core octree structure and a number of interactive editing tools to enable many archaeological tasks to be carried out on the whole point cloud that would not be possible using traditional methods. We allow fast selection, insertion and deletion of points, and through out-of-core rendering, the frame rate always stays above 20 frames per second on a fast workstation. \nTo the best of our knowledge, this is the first interactive visualization of the complete data set of a large subterranean catacomb, and we show that direct point cloud visualization on the complete data set of a scan campaign is an important tool in archaeological practice.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1076,
            "name": "SCHEIBLAUER-2009-IDCE-image.jpg",
            "type": "image/jpeg",
            "size": 269202,
            "path": "Publication:SCHEIBLAUER-2009-IDCE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614,
            826,
            193
        ],
        "booktitle": "10th VAST International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST09)",
        "date_from": "2009-09-22",
        "date_to": "2009-09-25",
        "isbn": "978-3-905674-18-7",
        "lecturer": [
            614,
            826
        ],
        "location": "Malta",
        "pages_from": "65",
        "pages_to": "72",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1076,
                "name": "SCHEIBLAUER-2009-IDCE-image.jpg",
                "type": "image/jpeg",
                "size": 269202,
                "path": "Publication:SCHEIBLAUER-2009-IDCE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHEIBLAUER-2009-IDCE-Paper.pdf",
                "type": "application/pdf",
                "size": 4312791,
                "path": "Publication:SCHEIBLAUER-2009-IDCE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/SCHEIBLAUER-2009-IDCE-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-IDCE/",
        "__class": "Publication"
    },
    {
        "id": "Habel-09-RAT",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering and Animation of Trees",
        "date": "2009-08-03",
        "abstract": "This demonstration combines novel methods for physically accurate yet efficient rendering and animation of trees under dynamic lighting conditions. A new leaf shading method is used that models the high-frequency structures such as veins and bulges to reproduce all important lighting attributes on a physical basis. Those structures are also used to calculate the translucency of leaves, which is modeled with physically based subsurface scattering, incorporating self-shadowing, thickness variations and varying albedo. This allows consistent reflective and translucent shading without constraining lighting or animation for close-up views. The individual deformation and animation of leaves and branches is defined by their physical properties such as shape and elasticity. A structural mechanics model is solved and combined with a length correction to achieve a physically plausible bending. To model the tree-wind interaction, a spectral approach is applied that allows for a physically guided animation as well as a high level of control. The applied methods have been published in \"Physically Based Real-time Translucency for Leaves (EGSR 2007)\" and \"Physically Guided Animation of Trees (Eurographics 2009)\". ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot",
            "filetitle": "Screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 720,
            "name": "Habel-09-RAT-Screenshot.jpg",
            "type": "image/jpeg",
            "size": 223827,
            "path": "Publication:Habel-09-RAT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            670
        ],
        "date_from": "2009-08-03",
        "date_to": "2009-08-07",
        "lecturer": [
            618
        ],
        "location": "New Orleans ",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-Time Rendering",
            "Trees",
            "Animation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Animation in SD (XVID.360p30)",
                "filetitle": "low res video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 360,
                "name": "Habel-09-RAT-low res video.avi",
                "type": "video/x-msvideo",
                "size": 117784952,
                "path": "Publication:Habel-09-RAT",
                "preview_name": "Habel-09-RAT-low res video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 4224,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-low res video:video.mp4"
            },
            {
                "description": "Screenshot",
                "filetitle": "Screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 720,
                "name": "Habel-09-RAT-Screenshot.jpg",
                "type": "image/jpeg",
                "size": 223827,
                "path": "Publication:Habel-09-RAT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-Screenshot:thumb{{size}}.png"
            },
            {
                "description": "Animation in HD (H.264.720p30)",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 720,
                "name": "Habel-09-RAT-video.avi",
                "type": "video/x-msvideo",
                "size": 242046976,
                "path": "Publication:Habel-09-RAT",
                "preview_name": "Habel-09-RAT-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14944,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/Habel-09-RAT-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-RAT/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2009-PGL2",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Generation of L-Systems",
        "date": "2009-08",
        "abstract": "In this work we investigate whether it is possible to efficiently\nevaluate one of the most classical procedural modeling\nprimitives, L-systems, directly on parallel architectures,\nexemplified by current GPUs and multi-core\nCPUs. The main motivation is to enable interactive\nediting of large L-systems by designers, therefore it is\nimportant to speed up the computation of L-systems in\norder to achieve low response times.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2268,
            "image_height": 906,
            "name": "LIPP-2009-PGL2-.jpg",
            "type": "image/jpeg",
            "size": 902327,
            "path": "Publication:LIPP-2009-PGL2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680,
            194,
            193
        ],
        "date_from": "2009-08-01",
        "date_to": "2009-08-03",
        "event": "High-Performance Graphics 2009",
        "location": "New Orleans, LA",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2268,
                "image_height": 906,
                "name": "LIPP-2009-PGL2-.jpg",
                "type": "image/jpeg",
                "size": 902327,
                "path": "Publication:LIPP-2009-PGL2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-:thumb{{size}}.png"
            },
            {
                "description": "Poster presented at HPG",
                "filetitle": "Poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "LIPP-2009-PGL2-Poster.pdf",
                "type": "application/pdf",
                "size": 31790817,
                "path": "Publication:LIPP-2009-PGL2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-Poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/LIPP-2009-PGL2-Poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LIPP-2009-PGL2/",
        "__class": "Publication"
    },
    {
        "id": "BITTNER-2009-AGVS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Global Visibility Sampling",
        "date": "2009-08",
        "abstract": "In this paper we propose a global visibility algorithm which computes from-region visibility for all view cells simultaneously in a progressive manner. We cast rays to sample visibility interactions and use the information carried by a ray for all view cells it intersects. The main contribution of the paper is a set of adaptive sampling strategies based on ray mutations that exploit the spatial coherence of visibility. Our method achieves more than an order of magnitude speedup compared to per-view cell sampling. This provides a practical solution to visibility preprocessing and also enables a new type of interactive visibility analysis application, where it is possible to quickly inspect and modify a coarse global visibility solution that is constantly refined.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 729,
            "name": "BITTNER-2009-AGVS-.jpg",
            "type": "image/jpeg",
            "size": 468604,
            "path": "Publication:BITTNER-2009-AGVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            326,
            194,
            203,
            193
        ],
        "date_from": "2009-08-03",
        "date_to": "2009-08-07",
        "event": "ACM SIGGRAPH 2009",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            198,
            326
        ],
        "location": "New Orleans, LA",
        "number": "3",
        "pages_from": "94:1",
        "pages_to": "94:10",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion culling",
            "visibility sampling",
            "visibility",
            "PVS"
        ],
        "weblinks": [
            {
                "href": "http://dl.acm.org/citation.cfm?id=1576246.1531400&amp;coll=DL&amp;dl=ACM&amp;CFID=254151241&amp;CFTOKEN=20753570",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 729,
                "name": "BITTNER-2009-AGVS-.jpg",
                "type": "image/jpeg",
                "size": 468604,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-:thumb{{size}}.png"
            },
            {
                "description": "Video showing the dynamic update functionality",
                "filetitle": "dynamic updates",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 100,
                "preview_image_height": 75,
                "name": "BITTNER-2009-AGVS-dynamic updates.avi",
                "type": "video/x-msvideo",
                "size": 29171852,
                "path": "Publication:BITTNER-2009-AGVS",
                "preview_name": "BITTNER-2009-AGVS-dynamic updates:preview.png",
                "preview_type": "image/png",
                "preview_size": 9718,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-dynamic updates:video.mp4"
            },
            {
                "description": "GVS vs. AGVS comparison",
                "filetitle": "GVS vs. AGVS",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 100,
                "preview_image_height": 75,
                "name": "BITTNER-2009-AGVS-GVS vs. AGVS.avi",
                "type": "video/x-msvideo",
                "size": 8880834,
                "path": "Publication:BITTNER-2009-AGVS",
                "preview_name": "BITTNER-2009-AGVS-GVS vs. AGVS:preview.png",
                "preview_type": "image/png",
                "preview_size": 9227,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-GVS vs. AGVS:video.mp4"
            },
            {
                "description": "The main video, also available at <a href=\"http://www.youtube.com/watch?v=f9Vo7h1Lh-4\">youtube</a>",
                "filetitle": "main video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 100,
                "preview_image_height": 75,
                "name": "BITTNER-2009-AGVS-main video.avi",
                "type": "video/x-msvideo",
                "size": 59867136,
                "path": "Publication:BITTNER-2009-AGVS",
                "preview_name": "BITTNER-2009-AGVS-main video:preview.png",
                "preview_type": "image/png",
                "preview_size": 4865,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-main video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-main video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-main video:video.mp4"
            },
            {
                "description": "<a href=\"http://dl.acm.org/authorize?103492\">ACM Authorizer link</a>",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "BITTNER-2009-AGVS-Preprint.pdf",
                "type": "application/pdf",
                "size": 8639799,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-Preprint:thumb{{size}}.png"
            },
            {
                "description": "reference method vs. AGVS comparison",
                "filetitle": "REF vs. AGVS",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 100,
                "preview_image_height": 75,
                "name": "BITTNER-2009-AGVS-REF vs. AGVS.avi",
                "type": "video/x-msvideo",
                "size": 20441642,
                "path": "Publication:BITTNER-2009-AGVS",
                "preview_name": "BITTNER-2009-AGVS-REF vs. AGVS:preview.png",
                "preview_type": "image/png",
                "preview_size": 4984,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-REF vs. AGVS:video.mp4"
            },
            {
                "description": "Render cost visualization",
                "filetitle": "rendercost1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1664,
                "image_height": 978,
                "name": "BITTNER-2009-AGVS-rendercost1.png",
                "type": "image/png",
                "size": 116768,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost1:thumb{{size}}.png"
            },
            {
                "description": "Render cost from a single view cell",
                "filetitle": "rendercost2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1662,
                "image_height": 983,
                "name": "BITTNER-2009-AGVS-rendercost2.png",
                "type": "image/png",
                "size": 203766,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-rendercost2:thumb{{size}}.png"
            },
            {
                "description": "fast forward",
                "filetitle": "slides-ff",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BITTNER-2009-AGVS-slides-ff.ppt",
                "type": "",
                "size": 865792,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-slides-ff.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "given version",
                "filetitle": "slides-talk",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BITTNER-2009-AGVS-slides-talk.pptx",
                "type": "application/zip",
                "size": 11751394,
                "path": "Publication:BITTNER-2009-AGVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-slides-talk.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "AGVS-generated PVS",
                "filetitle": "vienna walkthrough",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 100,
                "preview_image_height": 75,
                "name": "BITTNER-2009-AGVS-vienna walkthrough.avi",
                "type": "video/x-msvideo",
                "size": 36315704,
                "path": "Publication:BITTNER-2009-AGVS",
                "preview_name": "BITTNER-2009-AGVS-vienna walkthrough:preview.png",
                "preview_type": "image/png",
                "preview_size": 22688,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-vienna walkthrough.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-vienna walkthrough:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/BITTNER-2009-AGVS-vienna walkthrough:video.mp4"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-AGVS/",
        "__class": "Publication"
    },
    {
        "id": "alsallakh-2009-iva",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Relational Data and Applications in Event-Based Business Analytics",
        "date": "2009-07",
        "abstract": "In this work, a framework for interactive visual analysis of attributed graphs has been\r\ndeveloped. An attributed graph is an extension of the standard graph of a binary\r\nrelation, which attaches a set of attributes to the nodes and edges. The implemented\r\nvisual analysis techniques aim at the local level at enabling an intuitive navigation in the\r\ngraph which reveals both the structure of the selected part of the graph and the\r\nattributes of the nodes and edges in this part. At the global level these techniques aim at\r\nunderstanding the distributions of the attributes in the graph as a whole or in specific\r\nparts in it and at spotting meaningful associations between the attributes and the\r\nrelations.\r\nThe work presents several extensions to the attributes such as graph‐theoretic features,\r\nvalues aggregated over the relations, and hierarchical grouping. All attributes are\r\ntreated in a unified manner which helps performing elaborate analysis tasks using the\r\nexisting tools.\r\nAdditionally, novel graph drawing techniques are proposed. They are designed to\r\nunderstand attribute distributions and associations in the graph. These techniques can\r\nbe additionally used to visualize results of queries in the data, which can be also visually\r\ndefined using the attribute analysis tools.\r\nFinally, the work addresses several types of association analysis in relational data, along\r\nwith visual analysis methods for them. It presents a perceptual enhancement for the\r\nwell‐known parallel sets technique for association analysis in categorical data, and\r\nproposes extensions for employing it in relational data. Also, novels methods for other\r\ntypes of association analysis are introduced.\r\nThe relational data in this work were defined upon typed events in an event‐based\r\nsystem, which offers a flexible architecture for real‐time analysis. Nevertheless, the\r\npresented analysis methods are generic and have been tested on two real‐world\r\ndatasets. In the first dataset, entities for customers and products are derived from the\r\npurchase events, and various meaningful associations were found between the attributes\r\nand the relation (for example, which types of products the female customers bought\r\nmore frequently, or at which age customers have higher interest for books). In the\r\nsecond dataset, events in an issue‐tracking system are analyzed to find out ticket\r\nassignment patterns and forwarding patterns between the support offices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1246,
            "image_height": 868,
            "name": "alsallakh-2009-iva-image.jpg",
            "type": "image/jpeg",
            "size": 76119,
            "path": "Publication:alsallakh-2009-iva",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            734
        ],
        "diploma_examina": "2009-07-20",
        "supervisor": [
            166,
            665
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1246,
                "image_height": 868,
                "name": "alsallakh-2009-iva-image.jpg",
                "type": "image/jpeg",
                "size": 76119,
                "path": "Publication:alsallakh-2009-iva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "alsallakh-2009-iva-paper.pdf",
                "type": "application/pdf",
                "size": 12276041,
                "path": "Publication:alsallakh-2009-iva",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/alsallakh-2009-iva-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/alsallakh-2009-iva/",
        "__class": "Publication"
    },
    {
        "id": "brandorff-2009-erv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancement, Registration, and Visualization of High Resolution Episcopic Microscopy Data",
        "date": "2009-07",
        "abstract": "Weninger et al. [25] developed a novel methodology for rapid 2D and 3D computer\r\nanalysis and visualization of gene expression patterns. The data is generated\r\nby staining a specimen followed by an iterating process of cutting thin slices and\r\ncapturing them with an episcopic microscope. The result is an high resolution\r\n3D dataset. One channel contains anatomical information and a second channel\r\ncontains the gene expression patterns.\r\nIn this thesis we examine methods for enhancing, registrating and visualizing\r\nthis novel kind of data. We address the uneven illumination of slices that are\r\nintroduced by the methodology. We developed an algorithm to fit a quadric surface\r\nthrough the background pixels to estimate the illumination situation over the\r\nwhole slice. This estimate is used to correct the slices of one dataset.\r\nFurther, an extension of this methodology was researched. Recycling the already\r\ncut sections for staining them a second time allows the medical domain\r\nscientists to augment their technique with additional information. The result of\r\nthe second data generation phase is a stack of unaligned slices. The manual processing\r\nof the sections introduces non-linear deformations. We explored several\r\nregistration algorithms to align the two image stacks. We found a two step registration\r\napproach to yield the best results. In the first step a coarse affine registration\r\nis used to approximately align the datasets. The result of the first step is inspected\r\nand if necessary corrected by the user. In the second step a b-spline registration is\r\nused that compensates for the non-linear deformations of the 2D slices.\r\nFor the visual inspection of the registration results and to present an overview\r\nof the datasets we implemented two visualization approaches. A checkerboard\r\nview is used to compare 2D slices, and a three dimensional approach based on\r\ndirect volume rendering incorporates surface enhancement by gradient magnitude\r\nopacity modulation to emphasize the alignment of tissue boundaries.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1043,
            "image_height": 853,
            "name": "brandorff-2009-erv-image.jpg",
            "type": "image/jpeg",
            "size": 59004,
            "path": "Publication:brandorff-2009-erv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            629
        ],
        "diploma_examina": "2009-07-20",
        "supervisor": [
            166,
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1043,
                "image_height": 853,
                "name": "brandorff-2009-erv-image.jpg",
                "type": "image/jpeg",
                "size": 59004,
                "path": "Publication:brandorff-2009-erv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandorff-2009-erv-paper.pdf",
                "type": "application/pdf",
                "size": 12974833,
                "path": "Publication:brandorff-2009-erv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/brandorff-2009-erv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/brandorff-2009-erv/",
        "__class": "Publication"
    },
    {
        "id": "puehringer-2009-sbm",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sketch-based Modelling for Volume Visualization",
        "date": "2009-07",
        "abstract": "In the recent years the use of touch-sensitive input devices (e.g., tablet\r\ndevices) heavily increased. Especially for drawing or sketching tasks, these\r\ndevices - in combination with new user interface approaches - yield many\r\npossibilities to optimize traditional workflows.\r\nThis thesis provides an approach for integrating this new user interfaces\r\ntechniques into a volume visualization framework. The main goal is to account\r\nfor the frequently encountered task of selecting specific structures of\r\ninterest in a volume dataset which can not be separated by a transfer function\r\nsetup.\r\nFirst, a gesture-based user interface is incorporated to build up a fluid\r\nand intuitive workflow without disrupting the user’s attention from the main\r\nworking area. Further, a sketch-based modelling approach allows the user\r\nto easily generate 3D models out of 2D input sketches. These models serve\r\nas an initial selection on a structure of interest within a volume dataset. To\r\nautomatically fit the generated models on the volume features, we present an\r\nalgorithm for automatic deformation of mesh models on volume structures,\r\nresulting in a good approximation of the specific area.\r\nThis flexible combination of techniques allows the user to achieve selections\r\nin a volume dataset within minutes of work. These can subsequently\r\nbe used for masking, cropping or segmentation operations on the volume.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 649,
            "image_height": 786,
            "name": "puehringer-2009-sbm-image.jpg",
            "type": "image/jpeg",
            "size": 61064,
            "path": "Publication:puehringer-2009-sbm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            807
        ],
        "diploma_examina": "2009-07-22",
        "supervisor": [
            166,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 649,
                "image_height": 786,
                "name": "puehringer-2009-sbm-image.jpg",
                "type": "image/jpeg",
                "size": 61064,
                "path": "Publication:puehringer-2009-sbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "puehringer-2009-sbm-paper.pdf",
                "type": "application/pdf",
                "size": 3425199,
                "path": "Publication:puehringer-2009-sbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/puehringer-2009-sbm-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/puehringer-2009-sbm/",
        "__class": "Publication"
    },
    {
        "id": "knecht-2009-MKN",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Global Illumination Using Temporal Coherence",
        "date": "2009-07",
        "abstract": "The goal of this thesis is to produce plausible global illumination in real time using temporal coherence. While direct illumination combined with precomputed static global illumination is widely used in today’s computer games and 3D applications, real-time global illumination that supports arbitrary dynamic scenes and light setups is still an active area of research. This master thesis gives an introduction to global illumination and discusses various methods that have been developed. However, since most of the existing methods need some kind of precomputation to calculate global illumination in real time, they also introduce limitations like static light, scenes or view points. Furthermore other algorithms are not suitable for the capabilities of current graphics hardware or are simply fake approaches. The core of this thesis is an improved version of the instant radiosity and imperfect\r\nshadow maps algorithm that reuses illumination information from previous\r\nframes. The previous approaches needed a high number of so called virtual point\r\nlights to get convincing results, whereas our method achieves visually pleasing results with only a few virtual point lights. As a second extension to the base algorithms we introduce a new method to compute multiple light bounces. In this\r\nmethod the fill rate is drastically reduced and therefore computation time is much lower than in previous aproaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "knecht-2009-MKN-image.jpg",
            "type": "image/jpeg",
            "size": 273991,
            "path": "Publication:knecht-2009-MKN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736
        ],
        "diploma_examina": "2009-07-28",
        "supervisor": [
            193,
            326
        ],
        "research_areas": [],
        "keywords": [
            "Real Time Rendering",
            "Global Illumination",
            "Instant Radiosity",
            "Temporal Coherence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "knecht-2009-MKN-image.jpg",
                "type": "image/jpeg",
                "size": 273991,
                "path": "Publication:knecht-2009-MKN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht-2009-MKN-poster.pdf",
                "type": "application/pdf",
                "size": 1753507,
                "path": "Publication:knecht-2009-MKN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht-2009-MKN-thesis.pdf",
                "type": "application/pdf",
                "size": 24255873,
                "path": "Publication:knecht-2009-MKN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/knecht-2009-MKN-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-MKN/",
        "__class": "Publication"
    },
    {
        "id": "LUKSCH-2009-BBC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementation of an Improved Billboard Cloud Algorithm",
        "date": "2009-07",
        "abstract": "Real-time rendering is a huge field with many applications. Large scale urban visualization or outdoor game environments set highest demands on the visual complexity of the virtual world. The frame rate on the other hand has to stay above 60 frames per seconds, otherwise movements and animations are not perceived smoothly anymore. Even though hardware gets faster every year, geometry simplification is essential to distribute the resources for optimal quality and performance. \r\nThis thesis gives an overview of geometry simplification algorithms based on the billboard cloud principle. The problematic of the summarized algorithms are discussed and several improvements and possible modifications are described. The focus is on reducing simplification artifacts and improving the performance without affecting the visual quality. Finally, the results will be presented in an extensive evaluation. From the gained insight rules and parameters for an automatic geometry simplification process will be derived.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 327,
            "image_height": 500,
            "name": "LUKSCH-2009-BBC-image.jpg",
            "type": "image/jpeg",
            "size": 33183,
            "path": "Publication:LUKSCH-2009-BBC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659
        ],
        "diploma_examina": "2009-07-28",
        "supervisor": [
            193,
            216
        ],
        "research_areas": [],
        "keywords": [
            "Geometry Simplification",
            "Billboard Clouds",
            "Real-Time Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 327,
                "image_height": 500,
                "name": "LUKSCH-2009-BBC-image.jpg",
                "type": "image/jpeg",
                "size": 33183,
                "path": "Publication:LUKSCH-2009-BBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LUKSCH-2009-BBC-thesis.pdf",
                "type": "application/pdf",
                "size": 7859970,
                "path": "Publication:LUKSCH-2009-BBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/LUKSCH-2009-BBC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/LUKSCH-2009-BBC/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2009-IVV",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Volume Visualization using Maximum Intensity Difference Accumulation",
        "date": "2009-06",
        "abstract": "It has long been recognized that transfer function setup for Direct Volume Rendering (DVR) is crucial to its\r\nusability. However, the task of finding an appropriate transfer function is complex and time-consuming even for\r\nexperts. Thus, in many practical applications simpler techniques which do not rely on complex transfer functions\r\nare employed. One common example is Maximum Intensity Projection (MIP) which depicts the maximum value\r\nalong each viewing ray. In this paper, we introduce Maximum Intensity Difference Accumulation (MIDA), a new\r\napproach which combines the advantages of DVR and MIP. Like MIP, MIDA exploits common data characteristics\r\nand hence does not require complex transfer functions to generate good visualization results. It does, however,\r\nfeature occlusion and shape cues similar to DVR. Furthermore, we show that MIDA – in addition to being a useful\r\ntechnique in its own right – can be used to smoothly transition between DVR and MIP in an intuitive manner.\r\nMIDA can be easily implemented using volume raycasting and achieves real-time performance on current graphics\r\nhardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Maximum Intensity Difference Accumulation (MIDA) of an MRI angiography data set",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 583,
            "image_height": 815,
            "name": "bruckner-2009-IVV-Teaser.png",
            "type": "image/png",
            "size": 388611,
            "path": "Publication:bruckner-2009-IVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "date_from": "2009-06-10",
        "date_to": "2009-06-12",
        "event": "EuroVis 2009",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            161
        ],
        "location": "Berlin, Germany",
        "number": "3",
        "pages_from": "775",
        "pages_to": "782",
        "volume": "28",
        "research_areas": [],
        "keywords": [
            "illustrative visualization",
            "maximum intensity projection",
            "direct volume rendering"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01474.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2009-IVV-Paper.pdf",
                "type": "application/pdf",
                "size": 9038571,
                "path": "Publication:bruckner-2009-IVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Paper:thumb{{size}}.png"
            },
            {
                "description": "Maximum Intensity Difference Accumulation (MIDA) of an MRI angiography data set",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 583,
                "image_height": 815,
                "name": "bruckner-2009-IVV-Teaser.png",
                "type": "image/png",
                "size": 388611,
                "path": "Publication:bruckner-2009-IVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Teaser:thumb{{size}}.png"
            },
            {
                "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a MRI scan",
                "filetitle": "Video 1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2009-IVV-Video 1.avi",
                "type": "video/x-msvideo",
                "size": 10304390,
                "path": "Publication:bruckner-2009-IVV",
                "preview_name": "bruckner-2009-IVV-Video 1:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 29744,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 1:video.mp4"
            },
            {
                "description": "Animation sequence comparing DVR, MIDA, and MIP applied to an Ultramicroscopy scan of a mouse embryo",
                "filetitle": "Video 2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2009-IVV-Video 2.avi",
                "type": "video/x-msvideo",
                "size": 16031386,
                "path": "Publication:bruckner-2009-IVV",
                "preview_name": "bruckner-2009-IVV-Video 2:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 34742,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 2:video.mp4"
            },
            {
                "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a CT scan of a backpack",
                "filetitle": "Video 3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2009-IVV-Video 3.avi",
                "type": "video/x-msvideo",
                "size": 10555254,
                "path": "Publication:bruckner-2009-IVV",
                "preview_name": "bruckner-2009-IVV-Video 3:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 30029,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 3:video.mp4"
            },
            {
                "description": "Animation sequence comparing DVR, MIDA, and MIP applied to a CT scan",
                "filetitle": "Video 4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2009-IVV-Video 4.avi",
                "type": "video/x-msvideo",
                "size": 6338010,
                "path": "Publication:bruckner-2009-IVV",
                "preview_name": "bruckner-2009-IVV-Video 4:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24963,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/bruckner-2009-IVV-Video 4:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-IVV/",
        "__class": "Publication"
    },
    {
        "id": "cline-09-poisson",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dart Throwing on Surfaces",
        "date": "2009-06",
        "abstract": "In this paper we present dart throwing algorithms to generate maximal Poisson disk point sets directly on 3D surfaces. We optimize dart throwing by efficiently excluding areas of the domain that are already covered by\nexisting darts. In the case of triangle meshes, our algorithm shows dramatic speed improvement over comparable\nsampling methods. The simplicity of our basic algorithm naturally extends to the sampling of other surface types,\nincluding spheres, NURBS, subdivision surfaces, and implicits. We further extend the method to handle variable\ndensity points, and the placement of arbitrary ellipsoids without overlap. Finally, we demonstrate how to adapt our\nalgorithm to work with geodesic instead of Euclidean distance. Applications for our method include fur modeling, the placement of mosaic tiles and polygon remeshing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example of tiles placed with our algorithm.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 647,
            "image_height": 485,
            "name": "cline-09-poisson-image.jpg",
            "type": "image/jpeg",
            "size": 254362,
            "path": "Publication:cline-09-poisson",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            809,
            356,
            811,
            812,
            194
        ],
        "event": "EGSR",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            809
        ],
        "location": "Girona",
        "number": "4",
        "pages_from": "1217",
        "pages_to": "1226",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Example of tiles placed with our algorithm.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 647,
                "image_height": 485,
                "name": "cline-09-poisson-image.jpg",
                "type": "image/jpeg",
                "size": 254362,
                "path": "Publication:cline-09-poisson",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "cline-09-poisson-paper.pdf",
                "type": "application/pdf",
                "size": 8802851,
                "path": "Publication:cline-09-poisson",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "cline-09-poisson-video.avi",
                "type": "video/x-msvideo",
                "size": 52549060,
                "path": "Publication:cline-09-poisson",
                "preview_name": "cline-09-poisson-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 15372,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/cline-09-poisson-video:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/cline-09-poisson/",
        "__class": "Publication"
    },
    {
        "id": "piringer-2009-hds",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hierarchical Difference Scatterplots - Interactive Visual Analysis of Data Cubes",
        "date": "2009-06",
        "abstract": "Data cubes as employed by On-Line Analytical Processing (OLAP) play a key role in many application domains. The analysis typically involves to compare categories of different hierarchy levels with respect to size and pivoted values. Most existing visualization methods for pivoted values, however, are limited to single hierarchy levels. The main contribution of this paper is an approach called Hierarchical Difference Scatterplot (HDS). A HDS allows for relating multiple hierarchy levels and explicitly visualizes differences between them in the context of the absolute position of pivoted values. We discuss concepts of tightly coupling HDS to other types of tree visualizations and propose the integration in a setup of multiple views, which are linked by interactive queries on the data. We evaluate our approaches by analyzing social survey data in collaboration with a domain expert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 733,
            "image_height": 424,
            "name": "piringer-2009-hds-image.jpg",
            "type": "image/jpeg",
            "size": 50031,
            "path": "Publication:piringer-2009-hds",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            451,
            831,
            176,
            166
        ],
        "booktitle": "Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery (VAKD",
        "date_from": "2009-06-28",
        "editor": "Kai Puolamäki",
        "isbn": "978-1-60558-670-0",
        "lecturer": [
            451
        ],
        "location": "Paris, France",
        "pages_from": "56",
        "pages_to": "65",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 733,
                "image_height": 424,
                "name": "piringer-2009-hds-image.jpg",
                "type": "image/jpeg",
                "size": 50031,
                "path": "Publication:piringer-2009-hds",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "piringer-2009-hds-paper.pdf",
                "type": "application/pdf",
                "size": 856680,
                "path": "Publication:piringer-2009-hds",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/piringer-2009-hds-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/piringer-2009-hds/",
        "__class": "Publication"
    },
    {
        "id": "vucini_2009",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Visualization and Reconstruction from Non-Uniform Point Sets using B-splines",
        "date": "2009-06",
        "abstract": "In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets.\r\nWe adopt a variational method for the reconstruction of 3D non-uniform data to a uniform grid of chosen resolution.\r\nWe will extend this reconstruction to an efficient multi-resolution uniform representation of the underlying\r\ndata. Our multi-resolution representation includes a traditional bottom-up multi-resolution approach and a novel\r\ntop-down hierarchy for adaptive hierarchical reconstruction. Using a hybrid regularization functional we can\r\nimprove the reconstruction results. Finally, we discuss further application scenarios and show rendering results\r\nto emphasize the effectiveness and quality of our proposed framework. By means of qualitative results and error\r\ncomparisons we demonstrate superiority of our method compared to competing methods",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1170,
            "image_height": 1013,
            "name": "vucini_2009-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 3557710,
            "path": "Publication:vucini_2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            196,
            166
        ],
        "date_from": "2009-06-10",
        "date_to": "2009-06-12",
        "event": "Eurographics/IEEE Symposium on Visualization",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            636
        ],
        "location": "Berlin/Germany",
        "note": "2nd Best Paper Award",
        "number": "3",
        "pages_from": "1007",
        "pages_to": "1014",
        "volume": "28",
        "research_areas": [],
        "keywords": [
            "B-splines",
            "Image Processing and Computer Vision",
            "Non-uniform data",
            "Reconstruction"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01447.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vucini_2009-.pdf",
                "type": "application/pdf",
                "size": 10285223,
                "path": "Publication:vucini_2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1170,
                "image_height": 1013,
                "name": "vucini_2009-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 3557710,
                "path": "Publication:vucini_2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/vucini_2009-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/vucini_2009/",
        "__class": "Publication"
    },
    {
        "id": "weidlich-2009-dispersion",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Anomalous Dispersion in Predictive Rendering",
        "date": "2009-06",
        "abstract": "In coloured media, the index of refraction does not decrease monotonically with increasing wavelength, but behaves in a quite non-monotonical way. This behaviour is called anomalous dispersion and results from the fact that the absorption of a material inﬂuences its index of refraction. \n\nSo far, this interesting fact has not been widely acknowledged by the graphics community. In this paper, we demonstrate how to calculate the correct refractive index for a material based on its absorption spectrum with the Kramers-Kronig relation, and we discuss for which types of objects this effect is relevant in practice. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "experiment",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 320,
            "image_height": 240,
            "name": "weidlich-2009-dispersion-experiment.jpg",
            "type": "image/jpeg",
            "size": 8515,
            "path": "Publication:weidlich-2009-dispersion",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-experiment.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-experiment:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "date_from": "2009-06-29",
        "date_to": "2009-07-01",
        "event": "Eurographics Symposium on Rendering 2009",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            567
        ],
        "location": "Girona, Spain",
        "number": "4",
        "pages_from": "1065",
        "pages_to": "1072",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Predictive rendering",
            "Spectral Rendering",
            "Dispersion"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01483.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weidlich-2009-dispersion-.pdf",
                "type": "application/pdf",
                "size": 6681052,
                "path": "Publication:weidlich-2009-dispersion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "experiment",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 320,
                "image_height": 240,
                "name": "weidlich-2009-dispersion-experiment.jpg",
                "type": "image/jpeg",
                "size": 8515,
                "path": "Publication:weidlich-2009-dispersion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-experiment.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-experiment:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "weidlich-2009-dispersion-image1.jpg",
                "type": "image/jpeg",
                "size": 477994,
                "path": "Publication:weidlich-2009-dispersion",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/weidlich-2009-dispersion-image1:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-dispersion/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-2009-cc",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Robust Illumination Estimate for Chromatic Adaptation in Rendered Images",
        "date": "2009-06",
        "abstract": "We propose a method that improves automatic colour correction operations for rendered images. In particular, we propose a robust technique for estimating the visible and pertinent illumination in a given scene. We do this at very low computational cost by mostly re-using information that is already being computed during the image synthesis  process. Conventional illuminant estimations either operate only on 2D image data, or, if they do go beyond pure image analysis, only use information on the luminaires found in the scene. The latter is usually done with little or no regard for how the light sources actually affect the part of the scene that is being viewed. Our technique goes beyond that, and also takes object reﬂectance into account, as well as the incident light that is actually responsible for the colour of the objects that one sees. It is therefore able to cope with difﬁcult cases, such as scenes with mixed illuminants, complex scenes with many light sources of varying colour, or strongly coloured indirect illumination. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2667,
            "image_height": 2000,
            "name": "wilkie-2009-cc-image1.jpg",
            "type": "image/jpeg",
            "size": 419488,
            "path": "Publication:wilkie-2009-cc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            567
        ],
        "date_from": "2009-06-29",
        "date_to": "2009-07-01",
        "event": "Eurographics Symposium on Rendering 2009",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            192
        ],
        "location": "Girona, Spain",
        "number": "4",
        "pages_from": "1101",
        "pages_to": "1109",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "chromatic adaptation",
            "predicitve rendering",
            "colour constancy"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01487.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2667,
                "image_height": 2000,
                "name": "wilkie-2009-cc-image1.jpg",
                "type": "image/jpeg",
                "size": 419488,
                "path": "Publication:wilkie-2009-cc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image1:thumb{{size}}.png"
            },
            {
                "description": " Successively larger levels of chromatic adaptation under two different illuminants. Our technique can automatically perform a complete compensation (rightmost images), although to match real human chromatic adaptation, an almost complete compensation (fourth column) is more reasonable.",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2564,
                "image_height": 772,
                "name": "wilkie-2009-cc-image2.jpg",
                "type": "image/jpeg",
                "size": 470176,
                "path": "Publication:wilkie-2009-cc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-image2:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wilkie-2009-cc-paper.pdf",
                "type": "application/pdf",
                "size": 8000167,
                "path": "Publication:wilkie-2009-cc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/wilkie-2009-cc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-2009-cc/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-09-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Visualization with Frequency-based Transfer Functions",
        "date": "2009-05",
        "abstract": "Transfer functions have a crucial role in the understanding\r\nand visualization of 3D data in the spatial domain.\r\nWhile exhaustive research has scrutinized the possible\r\nuses of one or multi-dimensional transfer functions in\r\nthe visualization of the data in the spatial domain, to our\r\nknowledge no attempt has been done in the exploration\r\nof the use of transfer functions in the frequency domain.\r\nIn this work we propose the use of transfer functions\r\nfor the purpose of frequency analysis and visualization\r\nof 3D data. Frequency-based transfer functions offer the\r\npossibility to discriminate signals composed from different\r\nfrequencies, to analyze problems related to signal\r\nprocessing, and to help understanding the link between\r\nthe modulation of specific frequencies and their impact\r\non the spatial domain. We demonstrate the strength of\r\nour technique by applying the frequency-based transfer\r\nfunction to synthetic and real-world medical data. The\r\ninteractivity of the proposed framework allows the creation\r\nof complex filters and can also be used for structure\r\nor feature enhancement.",
        "authors_et_al": false,
        "substitute": "vucini-2011",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 511,
            "image_height": 497,
            "name": "TR-186-2-09-01-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 763446,
            "path": "Publication:TR-186-2-09-01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            166
        ],
        "number": "186-2-09-01",
        "research_areas": [],
        "keywords": [
            "Data Enhancement",
            "Frequency Analysis",
            "Transfer Function"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-09-01-.pdf",
                "type": "application/pdf",
                "size": 4061503,
                "path": "Publication:TR-186-2-09-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 511,
                "image_height": 497,
                "name": "TR-186-2-09-01-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 763446,
                "path": "Publication:TR-186-2-09-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/TR-186-2-09-01-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/TR-186-2-09-01/",
        "__class": "Publication"
    },
    {
        "id": "weidlich_2009_REL",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering the Effect of Labradorescence",
        "date": "2009-05",
        "abstract": "Labradorescence is a complex optical phenomenon that can be found in certain minerals, such as Labradorite or Spectrolite. Because of their unique colour properties these minerals are often used \nas gemstones and decorative objects. Since the phenomenon is strongly orientation dependent, such minerals need a special cut to make the most of their unique type of colourful sheen, which makes it desirable to be able to predict the final appearance of a given stone prior to the cutting process. Also, the peculiar properties of the effect make a believable replication with an ad-hoc shader dificult even for normal, non-predictive rendering purposes. \nWe provide a reflectance model for labradorescence that is directly derived from the physical characteristics of such materials. Due to its inherent accuracy, it can be used for predictive rendering purposes, but also for generic rendering applications. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "weidlich_2009_REL-image1.jpg",
            "type": "image/jpeg",
            "size": 216355,
            "path": "Publication:weidlich_2009_REL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "booktitle": "Proceedings of Graphics Interface 2009",
        "date_from": "2009-05-25",
        "date_to": "2009-05-27",
        "isbn": "978-1-56881-470-4",
        "lecturer": [
            567
        ],
        "location": "Kelowna, British Columbia, Canada ",
        "pages_from": "79",
        "pages_to": "85",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Predictive Rendering",
            "Surface",
            "Crystals"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weidlich_2009_REL-.pdf",
                "type": "application/pdf",
                "size": 4942564,
                "path": "Publication:weidlich_2009_REL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "weidlich_2009_REL-image1.jpg",
                "type": "image/jpeg",
                "size": 216355,
                "path": "Publication:weidlich_2009_REL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 427,
                "image_height": 320,
                "name": "weidlich_2009_REL-image2.jpg",
                "type": "image/jpeg",
                "size": 140927,
                "path": "Publication:weidlich_2009_REL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/weidlich_2009_REL-image2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_REL/",
        "__class": "Publication"
    },
    {
        "id": "kohlmann-2009-cp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Contextual Picking of Volumetric Structures",
        "date": "2009-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 408,
            "image_height": 409,
            "name": "kohlmann-2009-cp-image.jpg",
            "type": "image/jpeg",
            "size": 28250,
            "path": "Publication:kohlmann-2009-cp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "booktitle": "Proceedings of the IEEE Pacific Visualization Symposium 2009",
        "date_from": "2009-04-20",
        "date_to": "2009-04-23",
        "editor": "Peter Eades, Thomas Ertl, Han-Wei Shen",
        "isbn": "978-1-4244-4404-5",
        "lecturer": [
            605
        ],
        "location": "Peking, China",
        "pages_from": "185",
        "pages_to": "192",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 408,
                "image_height": 409,
                "name": "kohlmann-2009-cp-image.jpg",
                "type": "image/jpeg",
                "size": 28250,
                "path": "Publication:kohlmann-2009-cp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2009-cp-paper.pdf",
                "type": "application/pdf",
                "size": 5149796,
                "path": "Publication:kohlmann-2009-cp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "kohlmann-2009-cp-video.avi",
                "type": "video/x-msvideo",
                "size": 19379400,
                "path": "Publication:kohlmann-2009-cp",
                "preview_name": "kohlmann-2009-cp-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 16616,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/kohlmann-2009-cp-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-cp/",
        "__class": "Publication"
    },
    {
        "id": "kusternig-2009-rtr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Dynamic Vegetation",
        "date": "2009-05",
        "abstract": "Plants are present in almost any type of interactive virtual environment like\r\nvideo games, movie pre-visualization or architectural or urban walkthroughs.\r\nThe simulation complexity of plants increases with the evolution of graphics\r\nhardware, but rendering of plants still poses a lot of challenges. This is\r\ndue to both the inherent geometric complexity of an individual tree having\r\nthousands of branches and tens of thousands of leaves, and the complex\r\nlight interactions between the plant and sunlight. A portion of incoming\r\nlight is transmitted through leaves, resulting in the bright translucency e\u000bect\r\nobserved when looking at a leaf against the sun. Animating plants is another\r\nchallenge, as thousands of interconnected branches and individual leaves have\r\nto react to turbulent wind moving through the treetop. All this should\r\nbe performed at more than 60 frames per second for real-time interactive\r\napplications.\r\nThis thesis presents novel algorithms to render leaves at very high detail\r\nwith a physically based translucency model and to animate branches and\r\nleaves using a stochastic approach based on their physical properties. Both\r\nalgorithms are executed entirely on the GPU in vertex and pixel shaders,\r\nso they can be easily integrated into any modern rendering pipeline. The\r\ne\u000eciency of the algorithms allows rendering and animating highly detailed\r\nplants with thousands of branches and tens of thousands of leaves at a frame\r\nrate of at 60 frames per second.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 766,
            "name": "kusternig-2009-rtr-image.jpg",
            "type": "image/jpeg",
            "size": 153201,
            "path": "Publication:kusternig-2009-rtr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            670
        ],
        "diploma_examina": "2009-05-08",
        "supervisor": [
            193,
            618
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 766,
                "name": "kusternig-2009-rtr-image.jpg",
                "type": "image/jpeg",
                "size": 153201,
                "path": "Publication:kusternig-2009-rtr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kusternig-2009-rtr-paper.pdf",
                "type": "application/pdf",
                "size": 41847227,
                "path": "Publication:kusternig-2009-rtr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/kusternig-2009-rtr-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kusternig-2009-rtr/",
        "__class": "Publication"
    },
    {
        "id": "Reiter_2009_IXIA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improvement of X-Ray image acquisition using a GPU based 3DCT simulation tool",
        "date": "2009-05",
        "abstract": "This paper presents a simulation tool for industrial X-Ray computed tomography (CT) systems which is able to predict the results of real measurements. Such a prediction helps the technician in measurement technology to minimize artefacts by using optimal measurement parameters and therefore it helps to get more accurate results. The presented simulation software offers an implementation for CPU’s and GPU’s. The performance difference between these implementa-tions is shown, for a specific test part. Furthermore a parameter variation has been carried out, to illustrate the influence of the acquisition settings. We use a multi-image view tool to compare and evaluate the acquired dataset series which contains CT data gained with different X-Ray source voltages and a different number of projections.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 323,
            "image_height": 323,
            "name": "Reiter_2009_IXIA-image.png",
            "type": "image/png",
            "size": 68719,
            "path": "Publication:Reiter_2009_IXIA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            789,
            607,
            611,
            790,
            166,
            791,
            613
        ],
        "booktitle": "International Conference on Quality Control by Artificial Vision",
        "date_from": "2009-05-27",
        "date_to": "2009-05-29",
        "lecturer": [
            789
        ],
        "location": "Wels, Austria",
        "note": "not peer reviewed, will appear",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [
            "Computed tomography",
            "CT simulation",
            "Industrial X-Ray Imaging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 323,
                "image_height": 323,
                "name": "Reiter_2009_IXIA-image.png",
                "type": "image/png",
                "size": 68719,
                "path": "Publication:Reiter_2009_IXIA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Reiter_2009_IXIA-Paper.pdf",
                "type": "application/pdf",
                "size": 454943,
                "path": "Publication:Reiter_2009_IXIA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/Reiter_2009_IXIA-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Reiter_2009_IXIA/",
        "__class": "Publication"
    },
    {
        "id": "grasberger_2009_CSB",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CSB: Combining traditional CSG with Blobs",
        "date": "2009-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            718
        ],
        "date_start": "2008-05",
        "matrikelnr": "0325080",
        "supervisor": [
            567
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/grasberger_2009_CSB/",
        "__class": "Publication"
    },
    {
        "id": "patel_2009_MC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Moment Curves",
        "date": "2009-04",
        "abstract": "We define a transfer function based on the first and second statistical\r\nmoments. We consider the evolution of the mean and variance with\r\nrespect to a growing neighborhood around a voxel. This evolution\r\ndefines a curve in 3D for which we identify important trends and\r\nproject it back to 2D. The resulting 2D projection can be brushed\r\nfor easy and robust classification of materials and material borders.\r\nThe transfer function is applied to both CT and MR data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Moment Curves",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 916,
            "image_height": 858,
            "name": "patel_2009_MC-Moment Curves.jpg",
            "type": "image/jpeg",
            "size": 283414,
            "path": "Publication:patel_2009_MC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Moment Curves.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Moment Curves:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            597,
            673,
            166
        ],
        "booktitle": "Proceedings of the IEEE Pacific Visualization Symposium 2009",
        "date_from": "2009-04-20",
        "date_to": "2009-04-23",
        "editor": "Peter Eades, Thomas Ertl, Han-Wei Shen",
        "isbn": "978-1-4244-4404-5",
        "lecturer": [
            616
        ],
        "location": "Peking, China",
        "pages_from": "201",
        "pages_to": "208",
        "research_areas": [],
        "keywords": [
            "Statistical Moments",
            "Volume Classification",
            "Statistics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Moment Curves",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 916,
                "image_height": 858,
                "name": "patel_2009_MC-Moment Curves.jpg",
                "type": "image/jpeg",
                "size": 283414,
                "path": "Publication:patel_2009_MC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Moment Curves.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Moment Curves:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel_2009_MC-Paper.pdf",
                "type": "application/pdf",
                "size": 11779741,
                "path": "Publication:patel_2009_MC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/patel_2009_MC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel_2009_MC/",
        "__class": "Publication"
    },
    {
        "id": "solteszova-avp-2009",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Volume Painting with Game Controllers",
        "date": "2009-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1007,
            "image_height": 662,
            "name": "solteszova-avp-2009-image.jpg",
            "type": "image/jpeg",
            "size": 71161,
            "path": "Publication:solteszova-avp-2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            896,
            606,
            166
        ],
        "booktitle": "Proceedings of the 25th Spring Conference on Computer Graphics (SCCG)",
        "date_from": "2009-04-23",
        "date_to": "2009-04-25",
        "lecturer": [
            1304
        ],
        "location": "Budmerice, Slowakei",
        "pages_from": "125",
        "pages_to": "132",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1007,
                "image_height": 662,
                "name": "solteszova-avp-2009-image.jpg",
                "type": "image/jpeg",
                "size": 71161,
                "path": "Publication:solteszova-avp-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "solteszova-avp-2009-paper.pdf",
                "type": "application/pdf",
                "size": 2588050,
                "path": "Publication:solteszova-avp-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/solteszova-avp-2009-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/solteszova-avp-2009/",
        "__class": "Publication"
    },
    {
        "id": "zambal-2009-ami",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Anatomical Modeling for Image Analysis in Cardiology",
        "date": "2009-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 557,
            "image_height": 589,
            "name": "zambal-2009-ami-image.jpg",
            "type": "image/jpeg",
            "size": 76613,
            "path": "Publication:zambal-2009-ami",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            498
        ],
        "co_supervisor": [
            187,
            166
        ],
        "date_end": "2009-04",
        "rigorosum": "2009-04-24",
        "supervisor": [
            231
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 557,
                "image_height": 589,
                "name": "zambal-2009-ami-image.jpg",
                "type": "image/jpeg",
                "size": 76613,
                "path": "Publication:zambal-2009-ami",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zambal-2009-ami-paper.pdf",
                "type": "application/pdf",
                "size": 48377032,
                "path": "Publication:zambal-2009-ami",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/zambal-2009-ami-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/zambal-2009-ami/",
        "__class": "Publication"
    },
    {
        "id": "Konyha_2009_survey",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis in Engineering: A Survey",
        "date": "2009-04",
        "abstract": "Interactive visual analysis has become a very popular research field.\r\nThere is a significant body of literature on making sense of massive\r\ndata sets, on visualization and interaction techniques as well\r\nas on analysis concepts. However, surveying how those results can\r\nbe applied to actual engineering problems, including both product\r\nand manufacturing design as well as evaluation of simulation and\r\nmeasurement data, has not been discussed sufficiently to date. In\r\nthis paper we provide a selection of demonstration cases that document\r\nthe potential benefits of using interactive visual analysis in\r\na wide range of engineering domains, including the investigation\r\nof flow and particle dynamics, automotive engine design tasks and\r\nchange management in the product design process. We attempt to\r\nidentify some of the proven technological details such as the linking\r\nof space-time and attribute views through an application-wide\r\ncoherent selection mechanism. This paper might be an interesting\r\nsurvey for readers with a relation to the engineering sector, both\r\nreflecting on available technological building blocks for interactive\r\nvisual data analysis as well as exemplifying the potential benefits\r\non behalf of the application side.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 586,
            "image_height": 476,
            "name": "Konyha_2009_survey-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 837814,
            "path": "Publication:Konyha_2009_survey",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756,
            235,
            176
        ],
        "booktitle": "Posters at SCCG 2009",
        "date_from": "2009-04-23",
        "date_to": "2009-04-25",
        "issn": "ISSN 1335-5694",
        "location": "Budmerice, Slowakei",
        "pages_from": "31",
        "pages_to": "38",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 586,
                "image_height": 476,
                "name": "Konyha_2009_survey-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 837814,
                "path": "Publication:Konyha_2009_survey",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Konyha_2009_survey-paper.pdf",
                "type": "application/pdf",
                "size": 1220611,
                "path": "Publication:Konyha_2009_survey",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/Konyha_2009_survey-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Konyha_2009_survey/",
        "__class": "Publication"
    },
    {
        "id": "eibner-2009-gpc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Predictable and Convincing Folds for Leather Seat Design",
        "date": "2009-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "imager",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 450,
            "image_height": 215,
            "name": "eibner-2009-gpc-imager.jpg",
            "type": "image/jpeg",
            "size": 27088,
            "path": "Publication:eibner-2009-gpc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-imager.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-imager:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            843,
            204,
            190
        ],
        "booktitle": "Proceedings of the 25th Spring Conference on Computer Graphics (SCCG)",
        "date_from": "2009-04-23",
        "date_to": "2009-04-25",
        "lecturer": [
            843
        ],
        "location": "Budmerice, Slowakei",
        "pages_from": "93",
        "pages_to": "96",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "imager",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 450,
                "image_height": 215,
                "name": "eibner-2009-gpc-imager.jpg",
                "type": "image/jpeg",
                "size": 27088,
                "path": "Publication:eibner-2009-gpc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-imager.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-imager:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eibner-2009-gpc-paper.pdf",
                "type": "application/pdf",
                "size": 5543627,
                "path": "Publication:eibner-2009-gpc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/eibner-2009-gpc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/eibner-2009-gpc/",
        "__class": "Publication"
    },
    {
        "id": "BITTNER-2009-GEFOC",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Game-Engine-Friendly Occlusion Culling",
        "date": "2009-03",
        "abstract": "This article presents a method which minimizes the overhead associated with occlusion queries. The method reduces the number of required state changes and should integrate easily with most game engines. The key ideas are batching of the queries and interfacing with the game engine using a dedicated render queue. We also present some additional optimizations which reduce the number of queries issued as well as the number of rendered primitives. The algorithm is based on the well-known Coherent Hierarchical Culling algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 853,
            "name": "BITTNER-2009-GEFOC-image.png",
            "type": "image/png",
            "size": 95229,
            "path": "Publication:BITTNER-2009-GEFOC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            326,
            193
        ],
        "booktitle": "SHADERX7:  Advanced Rendering Techniques",
        "chapter": "8.3",
        "editor": "Wolfang Engel",
        "isbn": "1-58450-598-2",
        "pages_from": "637",
        "pages_to": "653",
        "publisher": "Charles River Media",
        "volume": "7",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 853,
                "name": "BITTNER-2009-GEFOC-image.png",
                "type": "image/png",
                "size": 95229,
                "path": "Publication:BITTNER-2009-GEFOC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1670,
                "image_height": 1420,
                "name": "BITTNER-2009-GEFOC-image2.jpg",
                "type": "image/jpeg",
                "size": 249197,
                "path": "Publication:BITTNER-2009-GEFOC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/BITTNER-2009-GEFOC-image2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BITTNER-2009-GEFOC/",
        "__class": "Publication"
    },
    {
        "id": "mueller-2009-ivs",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interaktive Visualisierung Semantischer Graphen",
        "date": "2009-03",
        "abstract": "Wissensbasierte Systeme (WBS) stellen für viele Anwendungen einen immer wichtigeren Bereich\r\ndar. Aus Anwendersicht erlauben es WBS neuesWissen aus derWissensbasis zu folgern und bestehende\r\nDaten effizient zu verwalten. Aus Entwicklersicht wird die schnelle Anpassung an einen Problembereich\r\nermöglicht, da Wissen von Geschäfts-Logik getrennt wird. Das m2n Intelligence Management Framework\r\nstellt eine Möglichkeit dar, WBS, die komplett durch einen semantischen Graphen beschrieben\r\nsind, im Rapid-Prototyping-Verfahren zu erstellen. Dieser Graph wird mit Hilfes des Resource Description\r\nFramework (RDF) definiert.\r\nIn dieser Arbeit werden Möglichkeiten aufgezeigt den semantischen Graphen einer m2n Anwendung\r\nzu visualisieren und interaktiv zu manipulieren. Dazu wurden existierendeWerkzeuge zur Visualisierung\r\nvon RDF- und OWL-Daten sowie Technologien aus dem Bereich der Informations-Visualisierung untersucht.\r\nDarauf aufbauend wurde die bestehende Visualisierung überarbeitet und Techniken zur direkten\r\nManipulation, zur Fokus & Kontext Visualisierung und zum Linking & Brushing integriert.\r\nDie entwickelte Komponente kann auf beliebige Anwendungsfälle, wie z.B. die Exploration und\r\nModellierung von Ontologie-, Geschäftsprozess- und Instanz-Daten, angepasst werden. Um die Entwicklung\r\nzu evaluieren, wurde ein Thinking Aloud Test mit acht Nutzern des Systems durchgeführt. Die\r\nErgebnisse des Tests fließen in die Weiterentwicklung der Komponente ein.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 361,
            "image_height": 160,
            "name": "mueller-2009-ivs-image.jpg",
            "type": "image/jpeg",
            "size": 29411,
            "path": "Publication:mueller-2009-ivs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            786
        ],
        "diploma_examina": "2009-03-24",
        "supervisor": [
            166,
            1338
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 361,
                "image_height": 160,
                "name": "mueller-2009-ivs-image.jpg",
                "type": "image/jpeg",
                "size": 29411,
                "path": "Publication:mueller-2009-ivs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mueller-2009-ivs-paper.pdf",
                "type": "application/pdf",
                "size": 8622692,
                "path": "Publication:mueller-2009-ivs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/mueller-2009-ivs-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/mueller-2009-ivs/",
        "__class": "Publication"
    },
    {
        "id": "kim_2009_iPhone",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "iPhone/iPod Touch as Input Devices for Navigation in Immersive Virtual Environments",
        "date": "2009-03",
        "abstract": "iPhone and iPod Touch are multi-touch handheld devices that provide\r\nnew possibilities for interaction techniques. We describe\r\niPhone/iPod Touch implementation of a navigation interaction technique\r\noriginally developed for a larger multi-touch device (i.e.\r\nLemur). The interaction technique implemented on an iPhone/iPod\r\nTouch was used for navigation tasks in a CAVE virtual environment.\r\nWe performed a pilot study to measure the control accuracy\r\nand to observe how human subjects respond to the interaction technique\r\non the iPhone and iPod Touch devices. We used the preliminary\r\nresults to improve the design of the interaction technique.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 480,
            "image_height": 195,
            "name": "kim_2009_iPhone-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 280854,
            "path": "Publication:kim_2009_iPhone",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            624,
            581,
            235,
            759
        ],
        "booktitle": "Proceedings of IEEE VR 2009",
        "date_from": "2009-03-14",
        "date_to": "2009-03-18",
        "editor": "Anthony Steed, Dirk Reiners, Robert W. Lindeman",
        "event": "Virtual Reality Conference, 2009",
        "isbn": "978-1-4244-3943-0",
        "lecturer": [
            624
        ],
        "location": "Lafayette, Louisiana, USA",
        "pages_from": "261",
        "pages_to": "262",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 480,
                "image_height": 195,
                "name": "kim_2009_iPhone-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 280854,
                "path": "Publication:kim_2009_iPhone",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kim_2009_iPhone-paper.pdf",
                "type": "application/pdf",
                "size": 279055,
                "path": "Publication:kim_2009_iPhone",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/kim_2009_iPhone-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kim_2009_iPhone/",
        "__class": "Publication"
    },
    {
        "id": "Habel_09_PGT",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physically Guided Animation of Trees",
        "date": "2009-03",
        "abstract": "This paper presents a new method to animate the interaction of a tree with wind both realistically and in real time. The main idea is to combine statistical observations with physical properties in two major parts of tree animation. First, the interaction of a single branch with the forces applied to it is approximated by a novel efficient two step nonlinear deformation method, allowing arbitrary continuous deformations and circumventing the need to segment a branch to model its deformation behavior.\nSecond, the interaction of wind with the dynamic system representing a tree is statistically\nmodeled. By precomputing the response function of branches to turbulent wind in frequency\nspace, the motion of a branch can be synthesized efficiently by sampling a 2D motion texture.\n\nUsing a hierarchical form of vertex displacement, both methods can be combined in a single vertex shader, fully leveraging the power of modern GPUs\nto realistically animate thousands of branches and ten thousands of leaves at practically no cost.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Animated Tree",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Habel_09_PGT-Image.jpg",
            "type": "image/jpeg",
            "size": 339703,
            "path": "Publication:Habel_09_PGT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            670,
            193
        ],
        "date_from": "2009-03-30",
        "date_to": "2009-04-03",
        "event": "EUROGRAPHICS 2009",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceedings EUROGRAPHICS 2009)",
        "lecturer": [
            618
        ],
        "location": "Munich",
        "number": "2",
        "pages_from": "523",
        "pages_to": "532",
        "volume": "28",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Animation",
            "Physically Guided animation",
            "Vegetation",
            "Trees"
        ],
        "weblinks": [
            {
                "href": "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8659.2009.01391.x/abstract",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "Physically Guided Animation of Trees",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_09_PGT-draft.pdf",
                "type": "application/pdf",
                "size": 2733729,
                "path": "Publication:Habel_09_PGT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-draft:thumb{{size}}.png"
            },
            {
                "description": "Animated Tree",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Habel_09_PGT-Image.jpg",
                "type": "image/jpeg",
                "size": 339703,
                "path": "Publication:Habel_09_PGT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Image:thumb{{size}}.png"
            },
            {
                "description": "Video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "Habel_09_PGT-Video.avi",
                "type": "video/x-msvideo",
                "size": 83009760,
                "path": "Publication:Habel_09_PGT",
                "preview_name": "Habel_09_PGT-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 11887,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/Habel_09_PGT-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD",
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_09_PGT/",
        "__class": "Publication"
    },
    {
        "id": "froschauer-2009-iod",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Optimization, Distance Computation and Data Estimation in Parallel Coordinates",
        "date": "2009-02",
        "abstract": "The \feld of information visualization tries to \fnd graphical representations of data\r\nto explore regions of interest in potentially large data sets. Additionally, the use\r\nof algorithms to obtain exact solutions, which cannot be provided by basic visualization\r\ntechniques, is a common approach in data analysis. This work focuses on\r\noptimization, distance computation and data estimation algorithms in the context\r\nof information visualization.\r\nFurthermore, information visualization is closely connected to interaction. To\r\ninvolve human abilities in the computation process, the goal is to embed these\r\nalgorithms into an interactive environment. In an analysis dialog, the user observes\r\nthe current solution, interprets the results and then formulates a strategy of how\r\nto proceed. This forms a tight loop of interaction, which uses human evaluation to\r\nimprove the quality of the results.\r\nOptimization is a crucial approach in decision making. This work presents an\r\ninteractive optimization approach, exempli\fed by parallel coordinates, which are\r\na common visualization technique when dealing with multi-dimensional problems.\r\nAccording to this goal-based approach, multi-dimensional distance computation is\r\ndiscussed as well as a data estimation approach with the objective of approximating\r\nsimulations by the analysis of existing values.\r\nAll these approaches are integrated in an existing visual analysis framework and\r\ndeal with multi-dimensional goals, which can be de\fned and modi\fed interactively\r\nby the user. The goal of this work is to support decision makers to extract useful\r\ninformation from large data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 883,
            "image_height": 798,
            "name": "froschauer-2009-iod-image.jpg",
            "type": "image/jpeg",
            "size": 103733,
            "path": "Publication:froschauer-2009-iod",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            787
        ],
        "diploma_examina": "2009-02-25",
        "supervisor": [
            166,
            451
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 883,
                "image_height": 798,
                "name": "froschauer-2009-iod-image.jpg",
                "type": "image/jpeg",
                "size": 103733,
                "path": "Publication:froschauer-2009-iod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "froschauer-2009-iod-paper.pdf",
                "type": "application/pdf",
                "size": 7463846,
                "path": "Publication:froschauer-2009-iod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/froschauer-2009-iod-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/froschauer-2009-iod/",
        "__class": "Publication"
    },
    {
        "id": "glanznig-2009-LAMC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Locally Adaptive Marching Cubes through Iso-value Variation",
        "date": "2009-02",
        "abstract": "We present a locally adaptive marching cubes algorithm. It is a modification of the marching cubes algorithm where instead of a global iso-value each grid point has its own iso-value. This defines an iso-value field, which modifies the case identification process in the algorithm. The marching cubes algorithm uses linear interpolation to compute intersections of the surface with the cell edges. Our modification computes the intersection of two general line segments, because there is no longer a constant iso-value at each cube vertex. An iso-value field enables the algorithm to correct biases within the dataset like low frequency noise, contrast drifts, local density variations and other artefacts introduced by the measurement process. It can also be used for blending between different isosurfaces (e.g., skin, veins and bone in a medical dataset).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 614,
            "image_height": 482,
            "name": "glanznig-2009-LAMC-image.jpg",
            "type": "image/jpeg",
            "size": 79226,
            "path": "Publication:glanznig-2009-LAMC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            788,
            607,
            166
        ],
        "booktitle": "Proceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision",
        "date_from": "2009-02-02",
        "date_to": "2009-02-05",
        "editor": "Vaclav Skala",
        "isbn": "978-80-86943-93-0",
        "lecturer": [
            788
        ],
        "location": "Plzen, Tschechien",
        "pages_from": "33",
        "pages_to": "40",
        "research_areas": [],
        "keywords": [
            "isosurface correction",
            "iso-value field",
            "contouring",
            "marching cubes",
            "blending between isosurfaces"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Full paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "glanznig-2009-LAMC-Full paper.pdf",
                "type": "application/pdf",
                "size": 1729759,
                "path": "Publication:glanznig-2009-LAMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-Full paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-Full paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 614,
                "image_height": 482,
                "name": "glanznig-2009-LAMC-image.jpg",
                "type": "image/jpeg",
                "size": 79226,
                "path": "Publication:glanznig-2009-LAMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "glanznig-2009-LAMC-paper.pdf",
                "type": "application/pdf",
                "size": 1692310,
                "path": "Publication:glanznig-2009-LAMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "glanznig-2009-LAMC-video.wmv",
                "type": "text/plain",
                "size": 22912644,
                "path": "Publication:glanznig-2009-LAMC",
                "preview_name": "glanznig-2009-LAMC-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 20616,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/glanznig-2009-LAMC-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/glanznig-2009-LAMC/",
        "__class": "Publication"
    },
    {
        "id": "GRELAUD-2009-EPA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient and Practical Audio-Visual Rendering for Games using Crossmodal Perception",
        "date": "2009-02",
        "abstract": "Interactive applications such as computer games, are inherently audio visual, requiring high-quality rendering of complex 3D audio soundscapes and graphics environments. A frequent source of audio events is impact sounds, typically generated with physics engines. In this paper, we first present an optimization allowing efficient usage of impact sounds in a unified audio rendering pipeline, also including prerecorded sounds. We also exploit a recent result on audio-visual crossmodal perception to introduce a new level-of-detail selection algorithm, which jointly chooses the quality level of audio and graphics rendering. We have integrated these two techniques as a comprehensive crossmodal audio-visual rendering pipeline in a home-grown game engine, thus demonstrating the potential utility of our approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "GRELAUD-2009-EPA-teaser.jpg",
            "type": "image/jpeg",
            "size": 171903,
            "path": "Publication:GRELAUD-2009-EPA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            800,
            801,
            193,
            802,
            803
        ],
        "address": "New York, NY, USA",
        "booktitle": "Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2009",
        "date_from": "2009-02-27",
        "date_to": "2009-03-01",
        "isbn": "978-1-60558-429-4",
        "lecturer": [
            800
        ],
        "location": "Boston, Massachusetts",
        "pages_from": "177",
        "pages_to": "182",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "audio-visual rendering",
            "crossmodal perception"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRELAUD-2009-EPA-Preprint.pdf",
                "type": "application/pdf",
                "size": 6393742,
                "path": "Publication:GRELAUD-2009-EPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-Preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "GRELAUD-2009-EPA-teaser.jpg",
                "type": "image/jpeg",
                "size": 171903,
                "path": "Publication:GRELAUD-2009-EPA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/GRELAUD-2009-EPA-teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/GRELAUD-2009-EPA/",
        "__class": "Publication"
    },
    {
        "id": "Habel_2009_PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Rendering and Animation of Vegetation",
        "date": "2009-02",
        "abstract": "Vegetation rendering and animation in real-time applications still pose a significant problem due to the inherent complexity of plants. Both the high geometric complexity and intricate light transport require specialized techniques to achieve high-quality rendering of vegetation in real time. This thesis presents new algorithms that address various areas of both vegetation rendering and animation.\n\nFor grass rendering, an efficient algorithm to display dense and short grass is introduced. In contrast to previous methods, the new approach is based on ray tracing to avoid the massive overdraw of billboard or explicit geometry representation techniques, achieving independence of the complexity of the grass without losing the visual characteristics of grass such as parallax and occlusion effects as the viewpoint moves.\n\nAlso, a method to efficiently render leaves is introduced. Leaves exhibit a complex light transport behavior due to subsurface scattering and special attention is given to the translucency of leaves, an integral part of leaf shading. The light transport through a leaf is precomputed and can be easily evaluated at runtime, making it possible to shade a massive amount of leaves while including the effects that occur due to the leaf structure such as varying albedo and thickness variations or self shadowing.\n\nTo animate a tree, a novel deformation method based on a structural mechanics model that incorporates the important physical properties of branches is introduced. This model does not require the branches to be segmented by joints as other methods, achieving smooth and accurate bending, and can be executed fully on a GPU. To drive this deformation, an optimized spectral approach that also incorporates the physical properties of branches is used. This allows animating a highly detailed tree with thousands of branches and ten thousands of leaves efficiently.\n\nAdditionally, a method to use dynamic skylight models in spherical harmonics precomputed radiance transfer techniques is introduced, allowing to change the skylight parameters in real time at no considerable cost and memory footprint.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Habel_2009_PhD-.png",
            "type": "image/png",
            "size": 963757,
            "path": "Publication:Habel_2009_PhD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618
        ],
        "co_supervisor": [
            1298
        ],
        "date_end": "2009-03",
        "date_start": "2005-05",
        "rigorosum": "2009-03-06",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Animation",
            "Real-time Rendering",
            "Vegetation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Habel_2009_PhD-.png",
                "type": "image/png",
                "size": 963757,
                "path": "Publication:Habel_2009_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-:thumb{{size}}.png"
            },
            {
                "description": "Real-time Rendering and Animation of Vegetation",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2009_PhD-Thesis.pdf",
                "type": "application/pdf",
                "size": 35942015,
                "path": "Publication:Habel_2009_PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/Habel_2009_PhD-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel_2009_PhD/",
        "__class": "Publication"
    },
    {
        "id": "schwaerzler-2009-ass",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accurate Soft Shadows in Real-Time Applications",
        "date": "2009-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1837,
            "image_height": 1122,
            "name": "schwaerzler-2009-ass-image.jpg",
            "type": "image/jpeg",
            "size": 72481,
            "path": "Publication:schwaerzler-2009-ass",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678
        ],
        "diploma_examina": "2009-02-20",
        "supervisor": [
            193,
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1837,
                "image_height": 1122,
                "name": "schwaerzler-2009-ass-image.jpg",
                "type": "image/jpeg",
                "size": 72481,
                "path": "Publication:schwaerzler-2009-ass",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schwaerzler-2009-ass-paper.pdf",
                "type": "application/pdf",
                "size": 32253103,
                "path": "Publication:schwaerzler-2009-ass",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schwaerzler-2009-ass-poster.pdf",
                "type": "application/pdf",
                "size": 5081490,
                "path": "Publication:schwaerzler-2009-ass",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/schwaerzler-2009-ass-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/schwaerzler-2009-ass/",
        "__class": "Publication"
    },
    {
        "id": "malik-2009-CVFA",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computation and Visualization of Fabrication Artifacts",
        "date": "2009-02",
        "abstract": "This paper proposes a novel technique to measure fabrication artifacts through direct comparison of a reference surface model with the corresponding industrial CT volume. Our technique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to measure differences (fabrication artifacts) between the two datasets. The differences are presented to the user both visually as well as quantitatively. Our comparison techniques are divided into two groups, namely geometry-driven comparison techniques and visual-driven comparison techniques. The geometry-driven techniques provide an overview, while the visual-driven techniques can be used for a localized examination.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 513,
            "image_height": 513,
            "name": "malik-2009-CVFA-Image.png",
            "type": "image/png",
            "size": 279344,
            "path": "Publication:malik-2009-CVFA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            611,
            166
        ],
        "date_from": "2009-02-02",
        "date_to": "2009-02-05",
        "event": "WSCG",
        "issn": "Online: 1213-6964 (printed: 1213 – 6972)",
        "journal": "Journal of WSCG",
        "lecturer": [
            607
        ],
        "location": "Plzen, Tschechien",
        "number": "1",
        "pages_from": "17",
        "pages_to": "24",
        "volume": "17",
        "research_areas": [
            "VisMat"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 513,
                "image_height": 513,
                "name": "malik-2009-CVFA-Image.png",
                "type": "image/png",
                "size": 279344,
                "path": "Publication:malik-2009-CVFA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "malik-2009-CVFA-Paper.pdf",
                "type": "application/pdf",
                "size": 3216823,
                "path": "Publication:malik-2009-CVFA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "malik-2009-CVFA-Video.avi",
                "type": "video/x-msvideo",
                "size": 10429288,
                "path": "Publication:malik-2009-CVFA",
                "preview_name": "malik-2009-CVFA-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 12931,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/malik-2009-CVFA-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/malik-2009-CVFA/",
        "__class": "Publication"
    },
    {
        "id": "fritz-2009-ieq",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Exploration and Quantification of Industrial CT Data",
        "date": "2009-01",
        "abstract": "Non-destructive testing (NDT) is a key aspect of present day engineering and development\r\nwhich examines the internal structures of industrial components such as\r\nmachine parts, pipes and ropes without destroying them. Industrial pieces require\r\ncritical inspection before they are assembled into a finished product in order to\r\nensure safety, stability, and usefulness of the finished object. Therefore, the goal of\r\nthis thesis is to explore industrial Computed Tomography (CT) volumes, with the\r\ngoal to facilitate the whole quantification approach of the components at hand by\r\nbridging the gap between visualization on the one hand, and interactive quantification\r\nof features or defects on the other one.\r\nThe standard approach for defect detection in industrial CT builds on region growing,\r\nwhich requires manually tuning parameters such as target ranges for density and size,\r\nvariance, as well as sometimes also the specification of seed points. To circumvent\r\nrepeating the whole process if the region growing results are not satisfactory, the\r\nmethod presented in this thesis allows interactive exploration of the parameter\r\nspace. The exploration process is completely separated from region growing in\r\nan unattended pre-processing stage where the seeds are set automatically. The\r\npre-computation results in a feature volume that tracks a feature size curve for\r\neach voxel over time, which is identified with the main region growing parameter\r\nsuch as variance. Additionally, a novel 3D transfer function domain over (density,\r\nfeature size, time) is presented which allows for interactive exploration of feature\r\nclasses. Features and feature size curves can also be explored individually, which\r\nhelps with transfer function specification and allows coloring individual features and\r\ndisabling features resulting from CT artifacts. Based on the classification obtained\r\nthrough exploration, the classified features can be quantified immediately.\r\nThe visualization and quantification results of this thesis are demonstrated on\r\ndifferent real-world industrial CT data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 534,
            "name": "fritz-2009-ieq-image.jpg",
            "type": "image/jpeg",
            "size": 97751,
            "path": "Publication:fritz-2009-ieq",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            775
        ],
        "diploma_examina": "2009-01",
        "supervisor": [
            166,
            226
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 534,
                "name": "fritz-2009-ieq-image.jpg",
                "type": "image/jpeg",
                "size": 97751,
                "path": "Publication:fritz-2009-ieq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fritz-2009-ieq-paper.pdf",
                "type": "application/pdf",
                "size": 53971587,
                "path": "Publication:fritz-2009-ieq",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/fritz-2009-ieq-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fritz-2009-ieq/",
        "__class": "Publication"
    },
    {
        "id": "weidlich-2009-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pseudochromatic Colourisation of Crystals in Predictive Image Synthesis",
        "date": "2009-01",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image_glass",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 640,
            "name": "weidlich-2009-thesis-image_glass.jpg",
            "type": "image/jpeg",
            "size": 297821,
            "path": "Publication:weidlich-2009-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-thesis/weidlich-2009-thesis-image_glass.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-thesis/weidlich-2009-thesis-image_glass:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567
        ],
        "co_supervisor": [
            595
        ],
        "date_end": "2009-03",
        "date_start": "2005-10",
        "rigorosum": "2009-03-09",
        "supervisor": [
            192
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Predictive rendering",
            "Crystal rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image_glass",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 640,
                "name": "weidlich-2009-thesis-image_glass.jpg",
                "type": "image/jpeg",
                "size": 297821,
                "path": "Publication:weidlich-2009-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-thesis/weidlich-2009-thesis-image_glass.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-thesis/weidlich-2009-thesis-image_glass:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich-2009-thesis/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2009-scmr",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Patient-Specific Coronary Artery Supply Territory AHA Diagrams",
        "date": "2009-01",
        "abstract": "Introduction: The American Heart Association proposed a 17-segment model for the segmentation of the left ventricle together with a mapping from each segment to a supplying coronary artery. This proposal is based on population averages. Several studies have confirmed the inaccuracy of this mapping due to large anatomical variations of the coronary arteries among individuals. Several proposals have been made for a different mapping between the 17 segments and the coronary arteries.\r\n\r\nPurpose: Due to the large variation in coronary anatomy there is a need for a patient-specific assignment of ventricular segments to supplying coronary arteries. We propose to use a segmentation of the coronary arteries and the ventricular epicardium to compute this patient-specific mapping.\r\n\r\nMethods: The three primary coronary arteries (LAD, LCX and RCA) and the left ventricle are segmented in a whole-heart MRI (SSFP) or CT scan of at least 150 slices. For the coronary arteries we employ a semi-automatic vessel tracking algorithm. The left ventricle is segmented using a fully automatic approach. The epicardial surface of the resulting segmentation is represented as a quadrilateral mesh. The centerlines of the coronary arteries are projected on the epicardial surface. A Voronoi diagram of the projected arteries is computed using a geodesic distance metric. The patient-specific coronary supply territories are computed using a modified marching squares algorithm. The examples given here consist of three territories, but our approach is flexible enough to handle any amount of territories.\r\n\r\nBoth the coronary supply territories and the coronary arteries are projected onto a bull’s eye plot using a parameterization of the left ventricle based on cylindrical coordinates, using the cardiac long axis as the primary axis of the cylinder (Figure 1a). The continuous nature of the epicardial surface is preserved in this projection. This means that the bull’s eye plot does not consist of rings representing slices, but that the distance to the center is proportional to the distance to the apex. This bull’s eye plot can for example be used as an overlay for the analysis of viability (Figure 1b).\r\n\r\nFigure 1. (a) Bull’s eye plot showing patient-specific coronary supply territories. The dotted lines represent the 17-segment model. (b) Patient-specific coronary supply territories as an overlay on a bull’s eye plot of a late enhancement scan.\r\n\r\nResults: We evaluated our method on image data from five patients. For each patient we produced both a standard 17-segment diagram and a diagram with the projection of the patient-specific coronary supply territories resulting from our approach. In both diagrams a projection of the segmented coronary arteries was shown. We then asked an experienced clinician to judge the correspondence between the coronary arteries and the suggested coronary supply territories for both diagrams. It was judged that our patient-specific coronary supply territories provide a better correlation with the position of the coronary arteries. The clinician expressed a preference to our method as compared to the standard 17-segment model.\r\n\r\nThe continuous relation between the distance to the center of the bull’s eye plot and the distance to the apex caused some confusion with our clinician. Especially in combination with CMR data consisting of relatively few slices this relation should be clarified.\r\n\r\nConclusion: With our method the relation between coronary arteries and areas supplied by these arteries is better visualized. This will help to better correlate the location of infarcted or ischemic areas to the coronaries that have caused the respective infarction or ischemia.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "patient-specific bulls eye plot",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 716,
            "image_height": 713,
            "name": "termeer-2009-scmr-image.png",
            "type": "image/png",
            "size": 150171,
            "path": "Publication:termeer-2009-scmr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606,
            647,
            679,
            459,
            575,
            166,
            746
        ],
        "booktitle": "Abstracts of the 12th Annual SCMR Scientific Sessions - 2009",
        "date_from": "2009-01-29",
        "date_to": "2009-02-01",
        "event": "SCMR 2009",
        "issn": "1532-429X ",
        "journal": "Journal of Cardiovascular Magnetic Resonance",
        "location": "Orlando, Florida",
        "pages_from": "164",
        "pages_to": "165",
        "series": "1",
        "volume": "11",
        "research_areas": [],
        "keywords": [
            "coronary supply territories",
            "patient-specific bulls eye plot"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2009-scmr-abstract.pdf",
                "type": "application/pdf",
                "size": 251722,
                "path": "Publication:termeer-2009-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-abstract:thumb{{size}}.png"
            },
            {
                "description": "patient-specific bulls eye plot",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 716,
                "image_height": 713,
                "name": "termeer-2009-scmr-image.png",
                "type": "image/png",
                "size": 150171,
                "path": "Publication:termeer-2009-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2009-scmr-poster.pdf",
                "type": "application/pdf",
                "size": 3155843,
                "path": "Publication:termeer-2009-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/termeer-2009-scmr-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-scmr/",
        "__class": "Publication"
    },
    {
        "id": "rautek-2009-vmv",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Visualization Mapping for Volume Illustration",
        "date": "2009",
        "abstract": "Scientific visualization is the discipline of automatically rendering images from\r\nscientific data. Adequate visual abstractions are important to show relevant information\r\nin the data. Visual abstractions are a trade-off between showing detailed\r\ninformation and preventing visual overload. To use visual abstractions for the\r\ndepiction of data, a mapping from data attributes to visual abstractions is needed.\r\nThis mapping is called the visualization mapping.\r\nThis thesis reviews the history of visual abstractions and visualizationmapping\r\nin the context of scientific visualization. Later a novel visual abstraction method\r\ncalled caricaturistic visualization is presented. The concept of exaggeration is the\r\nvisual abstraction used for caricaturistic visualization. Principles from traditional\r\ncaricatures are used to accentuate salient details of data while sparsely sketching\r\nthe context.\r\nThe visual abstractions described in this thesis are inspired by visual art and\r\nmostly by traditional illustration techniques. To make effective use of the recently\r\ndeveloped visualizationmethods, that imitate illustration techniques, an expressive\r\nvisualization mapping approach is required. In this thesis a visualization mapping\r\nmethod is investigated that makes explicit use of semantics to describe mappings\r\nfrom data attributes to visual abstractions. The semantic visualization mapping\r\nexplicitly uses domain semantics and visual abstraction semantics to specify visualization\r\nrules. Illustrative visualization results are shown that are achieved with\r\nthe semantic visualization mapping.\r\nThe behavior of the automatically rendered interactive illustrations is specified\r\nusing interaction-dependent visualization rules. Interactions like the change of the\r\nviewpoint, or the manipulation of a slicing plane are state of the art in volume\r\nvisualization. In this thesis a method for more elaborate interaction techniques is\r\npresented. The behavior of the illustrations is specified with interaction-dependent\r\nrules that are integrated in the semantic visualization mapping approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 373,
            "image_height": 410,
            "name": "rautek-2009-vmv-image.jpg",
            "type": "image/jpeg",
            "size": 36775,
            "path": "Publication:rautek-2009-vmv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "co_supervisor": [
            171
        ],
        "date_end": "2009-01",
        "date_start": "2005-11",
        "rigorosum": "2009-01-27",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 373,
                "image_height": 410,
                "name": "rautek-2009-vmv-image.jpg",
                "type": "image/jpeg",
                "size": 36775,
                "path": "Publication:rautek-2009-vmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rautek-2009-vmv-paper.pdf",
                "type": "application/pdf",
                "size": 3330018,
                "path": "Publication:rautek-2009-vmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/rautek-2009-vmv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/rautek-2009-vmv/",
        "__class": "Publication"
    },
    {
        "id": "SCHEIBLAUER-2009-xmas",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas Card",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 766,
            "image_height": 1083,
            "name": "SCHEIBLAUER-2009-xmas-.jpg",
            "type": "image/jpeg",
            "size": 119932,
            "path": "Publication:SCHEIBLAUER-2009-xmas",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 766,
                "image_height": 1083,
                "name": "SCHEIBLAUER-2009-xmas-.jpg",
                "type": "image/jpeg",
                "size": 119932,
                "path": "Publication:SCHEIBLAUER-2009-xmas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHEIBLAUER-2009-xmas-card.pdf",
                "type": "application/pdf",
                "size": 2069950,
                "path": "Publication:SCHEIBLAUER-2009-xmas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-card:thumb{{size}}.png"
            },
            {
                "description": "Making of X-Mas Card",
                "filetitle": "makingof",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHEIBLAUER-2009-xmas-makingof.pdf",
                "type": "application/pdf",
                "size": 382330,
                "path": "Publication:SCHEIBLAUER-2009-xmas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-makingof.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/SCHEIBLAUER-2009-xmas-makingof:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/SCHEIBLAUER-2009-xmas/",
        "__class": "Publication"
    },
    {
        "id": "scherzer-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Applications of temporal coherence in real-time rendering",
        "date": "2009",
        "abstract": "Real-time rendering imposes the challenging task of creating a new rendering of an input scene at least 60 times a second. Although computer graphics hardware has made staggering advances in terms of speed and freedom of programmability, there still exist a number of algorithms that are too expensive to be calculated in this time budget, like exact shadows or an exact global illumination solution. One way to circumvent this hard time limit is to capitalize on temporal coherence to formulate algorithms incremental in time.\n\nThe main thesis of this work is that temporal coherence is a characteristic of real-time graphics that can be used to redesign well-known rendering methods to become faster, while exhibiting better visual fidelity. \n\nTo this end we present our adaptations of algorithms from the fields of exact hard shadows, physically correct soft shadows and fast discrete LOD blending, in which we have successfully incorporated temporal coherence. Additionally, we provide a detailed context of previous work not only in the field of temporal coherence, but also in the respective fields of the presented algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "woman with soft shadow",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1500,
            "name": "scherzer-thesis-woman with soft shadow.png",
            "type": "image/png",
            "size": 701795,
            "path": "Publication:scherzer-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-woman with soft shadow.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-woman with soft shadow:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452
        ],
        "date_end": "2009-11",
        "date_start": "2005-12",
        "reviewer_1": [
            193
        ],
        "reviewer_2": [
            1327
        ],
        "rigorosum": "2009-11-27",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadows",
            "lod",
            "real-time",
            "image-space"
        ],
        "weblinks": [],
        "files": {
            "0": {
                "description": null,
                "filetitle": "Camel",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1200,
                "image_height": 900,
                "name": "scherzer-thesis-Camel.png",
                "type": "image/png",
                "size": 197918,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Camel.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Camel:thumb{{size}}.png"
            },
            "1": {
                "description": null,
                "filetitle": "Disocclusion",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 812,
                "image_height": 512,
                "name": "scherzer-thesis-Disocclusion.png",
                "type": "image/png",
                "size": 213767,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Disocclusion.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Disocclusion:thumb{{size}}.png"
            },
            "2": {
                "description": null,
                "filetitle": "Pixel correct shadows",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1680,
                "image_height": 1050,
                "name": "scherzer-thesis-Pixel correct shadows.png",
                "type": "image/png",
                "size": 1040616,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Pixel correct shadows.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Pixel correct shadows:thumb{{size}}.png"
            },
            "3": {
                "description": null,
                "filetitle": "smooth LOD",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "scherzer-thesis-smooth LOD.png",
                "type": "image/png",
                "size": 385388,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-smooth LOD.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-smooth LOD:thumb{{size}}.png"
            },
            "4": {
                "description": null,
                "filetitle": "soft shadow teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "scherzer-thesis-soft shadow teaser.png",
                "type": "image/png",
                "size": 1927290,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-soft shadow teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-soft shadow teaser:thumb{{size}}.png"
            },
            "5": {
                "description": null,
                "filetitle": "Soft shadow",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1147,
                "image_height": 1031,
                "name": "scherzer-thesis-Soft shadow.png",
                "type": "image/png",
                "size": 1104078,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Soft shadow.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Soft shadow:thumb{{size}}.png"
            },
            "6": {
                "description": null,
                "filetitle": "Soft shadows eifel",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 700,
                "name": "scherzer-thesis-Soft shadows eifel.png",
                "type": "image/png",
                "size": 977234,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Soft shadows eifel.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-Soft shadows eifel:thumb{{size}}.png"
            },
            "7": {
                "description": null,
                "filetitle": "soft tree shadow",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1579,
                "image_height": 1031,
                "name": "scherzer-thesis-soft tree shadow.png",
                "type": "image/png",
                "size": 2129577,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-soft tree shadow.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-soft tree shadow:thumb{{size}}.png"
            },
            "9": {
                "description": null,
                "filetitle": "visibility texture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "scherzer-thesis-visibility texture.png",
                "type": "image/png",
                "size": 540489,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-visibility texture.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-visibility texture:thumb{{size}}.png"
            },
            "10": {
                "description": null,
                "filetitle": "woman with soft shadow",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1500,
                "name": "scherzer-thesis-woman with soft shadow.png",
                "type": "image/png",
                "size": 701795,
                "path": "Publication:scherzer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-woman with soft shadow.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/scherzer-thesis-woman with soft shadow:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/scherzer-thesis/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2009-cvc",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comprehensive Visualization of Cardiac MRI Data",
        "date": "2009",
        "abstract": "Coronary artery disease is one of the leading causes of death in the western world. The continuous improvements in magnetic resonance imaging technology facilitate more accurate diagnoses by providing increasingly more detailed information on the viability, functioning, perfusion, and anatomy of a patient’s heart. This increasing amount of information creates the need for more efficient and more effective means of processing these data.\r\n\r\nThis thesis presents several novel techniques that facilitate a more comprehensive visualization of a patient’s heart to assist in the diagnosis of coronary artery disease using magnetic resonance imaging (MRI). The volumetric bull’s eye plot is introduced as an extension of an existing visualization technique used in clinical practice---the bull’s eye plot. This novel concept offers a more comprehensive view on the viability of a patient’s heart by providing detailed information on the transmurality of scar while not suffering from discontinuities.\r\n\r\nAnatomical context is often lost due to abstract representations of data, or may be scarce due to the nature of the scanning protocol. Several techniques to restore the relation to anatomy are presented. The primary coronary arteries are segmented in a whole heart scan and mapped onto a volumetric bull’s eye plot, adding anatomical context to an abstract representation. Similarly, segmented late enhancement data are rendered along with a three-dimensional segmentation of the patient-specific myocardial and coronary anatomy. Additionally, coronary supply territories are computed from patient-specific data as an improvement over models based on population averages.\r\n\r\nInformation on the perfusion of the myocardium provided by MRI is typically of fairly low resolution. Using high-resolution anatomical data, an approach to visualize simulated myocardial perfusion is presented, taking full advantage of the detailed information on perfusion. Finally, a truly comprehensive visualization of a cardiac MRI exam is explored by combining whole heart, late enhancement, functional, and perfusion scans in a single visualization. The concepts introduced help to build a more comprehensive view of the patient and the additional information may prove to be beneficial for the diagnostic process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 637,
            "image_height": 155,
            "name": "termeer-2009-cvc-image.jpg",
            "type": "image/jpeg",
            "size": 33920,
            "path": "Publication:termeer-2009-cvc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606
        ],
        "co_supervisor": [
            679
        ],
        "date_end": "2009-01",
        "date_start": "2005-11",
        "rigorosum": "2009-01-20",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Cardiac MRI Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 637,
                "image_height": 155,
                "name": "termeer-2009-cvc-image.jpg",
                "type": "image/jpeg",
                "size": 33920,
                "path": "Publication:termeer-2009-cvc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis (screen version)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2009-cvc-thesis (screen version).pdf",
                "type": "application/pdf",
                "size": 16926510,
                "path": "Publication:termeer-2009-cvc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis (screen version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis (screen version):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2009-cvc-thesis.pdf",
                "type": "application/pdf",
                "size": 32225038,
                "path": "Publication:termeer-2009-cvc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/termeer-2009-cvc-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/termeer-2009-cvc/",
        "__class": "Publication"
    },
    {
        "id": "fiedler-2009-php",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Human Posing Using CGA Grammars",
        "date": "2009",
        "abstract": "This report presents a grammar for the procedural modeling of humanoid characters and poses based on CGA shape, a shape grammar for computer generated architecture. Various models can be derived with the same set of parametrized rules for geometric operations, and include a skeletal system for posing. The main part of this report defines basic rules and their effect on shapes and skeletons and discusses the results of an actual implementation of the grammar with examples.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A humanoid figure modeled and posed using a shape grammar.",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 541,
            "image_height": 522,
            "name": "fiedler-2009-php-image.jpg",
            "type": "image/jpeg",
            "size": 22903,
            "path": "Publication:fiedler-2009-php",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            822
        ],
        "date_end": "2009-11-02",
        "date_start": "2009-07-14",
        "matrikelnr": "0155490",
        "supervisor": [
            1303
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "shape grammars",
            "computer animation",
            "character modeling",
            "procedural modeling",
            "computational geometry"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "A humanoid figure modeled and posed using a shape grammar.",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 541,
                "image_height": 522,
                "name": "fiedler-2009-php-image.jpg",
                "type": "image/jpeg",
                "size": 22903,
                "path": "Publication:fiedler-2009-php",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fiedler-2009-php-report.pdf",
                "type": "application/pdf",
                "size": 1306474,
                "path": "Publication:fiedler-2009-php",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/fiedler-2009-php-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fiedler-2009-php/",
        "__class": "Publication"
    },
    {
        "id": "fuchs-2009-ncp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-convex Polyhedral Volume of Interest Selection",
        "date": "2009",
        "abstract": "We introduce anovel approachto specify and edit volumes of interest (VOI for short) interactively. Enhancing\r\nthe capabilities of standard systems we provide tools to edit the VOI by defining a not necessarily\r\nconvex polyhedral bounding object.We suggest to use low-level editing interactions for moving, inserting\r\nand deleting vertices, edges and faces of the polyhedron. The low-level operations can be used as\r\nbuilding blocks for more complex higher order operations fitting the application demands. Flexible initialization\r\nallows the user to select within a few clicks convex VOI that in the classical clipping plane\r\nmodel need the specification of a large number of cutting planes. In our model it is similarly simple to\r\nselect non-convex VOI. Boolean combinations allowto select non-connected VOI of arbitrary complexity.\r\nThe polyhedral VOI selection technique enables the user to define VOI with complex boundary structure\r\ninteractively, in an easy to comprehend and predictable manner.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 867,
            "image_height": 197,
            "name": "fuchs-2009-ncp-image.jpg",
            "type": "image/jpeg",
            "size": 32676,
            "path": "Publication:fuchs-2009-ncp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672,
            827,
            828
        ],
        "issn": "0895-6111",
        "journal": "Journal of Computerized Medical Imaging and Graphics",
        "number": "2",
        "pages_from": "105",
        "pages_to": "113",
        "volume": "34",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 867,
                "image_height": 197,
                "name": "fuchs-2009-ncp-image.jpg",
                "type": "image/jpeg",
                "size": 32676,
                "path": "Publication:fuchs-2009-ncp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs-2009-ncp-paper.pdf",
                "type": "application/pdf",
                "size": 1472490,
                "path": "Publication:fuchs-2009-ncp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/fuchs-2009-ncp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-2009-ncp/",
        "__class": "Publication"
    },
    {
        "id": "fuchs-vom-2009",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Multi-variate Scientific Data",
        "date": "2009",
        "abstract": "In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multivariate\r\ndata. We discuss how different techniques take effect at specific stages of the visualization pipeline and\r\nhow they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide\r\na categorization of these techniques with the aim for a better overview of related approaches. Based on this\r\nclassification we highlight combinable and hybrid approaches and focus on techniques that potentially lead\r\ntowards new directions in visualization research. In the second part of this paper we take a look at recent\r\ntechniques that are useful for the visualization of complex data sets either because they are general purpose or\r\nbecause they can be adapted to specific problems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 401,
            "image_height": 197,
            "name": "fuchs-vom-2009-image.jpg",
            "type": "image/jpeg",
            "size": 30964,
            "path": "Publication:fuchs-vom-2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672,
            176
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "6",
        "pages_from": "1670",
        "pages_to": "1690",
        "volume": "28",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 401,
                "image_height": 197,
                "name": "fuchs-vom-2009-image.jpg",
                "type": "image/jpeg",
                "size": 30964,
                "path": "Publication:fuchs-vom-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs-vom-2009-paper.pdf",
                "type": "application/pdf",
                "size": 1454454,
                "path": "Publication:fuchs-vom-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/fuchs-vom-2009-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/fuchs-vom-2009/",
        "__class": "Publication"
    },
    {
        "id": "Fuerst-2009-dfr",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Fur Rendering",
        "date": "2009",
        "abstract": "Fur is hard to render by conventional means, so usually specialized techniques are necessary to render realistic fur in a reasonable amount of time. Interactive fur rendering techniques exist, but usually there is no implementation readily available for artists to use. The goal of this project was to implement a dynamic fur rendering method like the dynamic fur simulation of Tomohide Kano in the vvvv toolkit. This is project will be used by FriendlyFire for an interactive demo application (friendlyfire.at).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 489,
            "image_height": 460,
            "name": "Fuerst-2009-dfr-.png",
            "type": "image/png",
            "size": 308801,
            "path": "Publication:Fuerst-2009-dfr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            784
        ],
        "date_start": "2009-03-09",
        "matrikelnr": "0627916",
        "supervisor": [
            627
        ],
        "research_areas": [],
        "keywords": [
            "Hair",
            "Friendly Fire",
            "vvvv",
            "Fur"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 489,
                "image_height": 460,
                "name": "Fuerst-2009-dfr-.png",
                "type": "image/png",
                "size": 308801,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-:thumb{{size}}.png"
            },
            {
                "description": "Technical Report",
                "filetitle": "techreport",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst-2009-dfr-techreport.pdf",
                "type": "application/pdf",
                "size": 714461,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-techreport.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-techreport:thumb{{size}}.png"
            },
            {
                "description": "Description of the input parameters for the vvvv fur module",
                "filetitle": "vvvv Fur Module Parameter Description",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst-2009-dfr-vvvv Fur Module Parameter Description.pdf",
                "type": "application/pdf",
                "size": 179128,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-vvvv Fur Module Parameter Description.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-vvvv Fur Module Parameter Description:thumb{{size}}.png"
            },
            {
                "description": "Fur module for the vvvv toolkit",
                "filetitle": "vvvv Fur Module",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst-2009-dfr-vvvv Fur Module.zip",
                "type": "application/zip",
                "size": 364516,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-vvvv Fur Module.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Source Code of the fur plugin for the vvvv toolkit",
                "filetitle": "vvvv Fur Plugin Source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst-2009-dfr-vvvv Fur Plugin Source.zip",
                "type": "application/zip",
                "size": 1163389,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-vvvv Fur Plugin Source.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Fur plugin for the vvvv toolkit",
                "filetitle": "vvvv Fur plugin",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuerst-2009-dfr-vvvv Fur plugin.dll",
                "type": "application/x-dosexec",
                "size": 20480,
                "path": "Publication:Fuerst-2009-dfr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/Fuerst-2009-dfr-vvvv Fur plugin.dll",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Fuerst-2009-dfr/",
        "__class": "Publication"
    },
    {
        "id": "gavrilescu-2009-postrend",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Post-Rendering Enhancements of Volumes",
        "date": "2009",
        "abstract": "The paper presents an approach to visually enhance representations of volume data as a means to improve volume visualization. Direct volume rendering is employed to represent several volume data sets, using the popular Ray Casting algorithm. The result is rendered to a texture via an off-screen framebuffer, which then goes through a post-rendering processing stage. This stage involves the application of image enhancement techniques such as the use of spatial filters, to produce clearer, sharper, and less noisy images of the rendered volume. Depending on the specifics of the volumetric data set, post-rendering enhancement may bring forth more relevant visual information or otherwise improve the overall quality of the resulting images.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            737,
            850,
            190
        ],
        "issn": "1220 - 2169",
        "journal": "Buletinul Institutului Politehnic din Iaşi",
        "pages_from": "page 43",
        "pages_to": "54",
        "research_areas": [],
        "keywords": [
            "feature enhancement",
            "Ray-Casting",
            "image filtering",
            "volume visualization",
            "post-rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "full paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "gavrilescu-2009-postrend-full paper.pdf",
                "type": "application/pdf",
                "size": 1322655,
                "path": "Publication:gavrilescu-2009-postrend",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/gavrilescu-2009-postrend/gavrilescu-2009-postrend-full paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/gavrilescu-2009-postrend/gavrilescu-2009-postrend-full paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/gavrilescu-2009-postrend/",
        "__class": "Publication"
    },
    {
        "id": "groeller-cvc-2009",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comprehensive Visualization of Cardiac MRI Data",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2009-09-24",
        "event": "AMI-ARCS 2009, 5th Workshop on Augmented Environments for Medical Imaging including augmented Reality in Computer-Aided Surgery",
        "location": "Imperial College London, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/groeller-cvc-2009/",
        "__class": "Publication"
    },
    {
        "id": "groeller-scv-2009",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scientific Visualization",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2009-07-15",
        "event": "Dagstuhl Seminar 09251",
        "location": "Schloss Dagstuhl, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/groeller-scv-2009/",
        "__class": "Publication"
    },
    {
        "id": "groeller-svo-2009",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "(Scientific) Visualization: Overview and own Research Contributions",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2009-05-18",
        "event": "Kolloquium an der Fakultät für Informatik, Uni Wien",
        "location": "Wien, Österreich",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/groeller-svo-2009/",
        "__class": "Publication"
    },
    {
        "id": "groeller-vks-2009",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization with Knowledge and Style",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2009-02-04",
        "event": "Keynote talk at International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG)",
        "location": "Plzen, Tschechien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/groeller-vks-2009/",
        "__class": "Publication"
    },
    {
        "id": "Habel-09-THB",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Rendering and Animation of Vegetation: Advances in displaying vegetation for interactive applications",
        "date": "2009",
        "abstract": "Vegetation rendering and animation in real-time applications still pose a significant problem due to the inherent complexity of plants. Both the high geometric complexity and intricate light\ntransport require specialized techniques to achieve high-quality rendering of vegetation in real time.\nThis thesis presents new algorithms that address various areas of both vegetation rendering and animation. For grass rendering, an efficient algorithm to display grass is introduced. Also, a\nmethod to efficiently render leaves is introduced.\nLeaves exhibit a complex light transport behavior due to subsurface scattering and special attention is given to the translucency of leaves, an integral part of leaf shading.\nTo animate a tree, a novel deformation method based on a structural mechanics model that incorporates the important physical properties of branches is introduced. To drive this deformation, an optimized spectral approach that also incorporates the physical properties of branches is used. Additionally, a method to use dynamic skylight models in spherical harmonics precomputed radiance transfer techniques is introduced, allowing to change the skylight parameters in real time. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "book cover",
            "filetitle": "book cover",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 240,
            "image_height": 240,
            "name": "Habel-09-THB-book cover.jpg",
            "type": "image/jpeg",
            "size": 5851,
            "path": "Publication:Habel-09-THB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618
        ],
        "isbn": "978-3838104997",
        "pages": "140",
        "publisher": "Suedwestdeutscher Verlag fuer Hochschulschriften",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-time Rendering",
            "Vegetation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "book cover",
                "filetitle": "book cover",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 240,
                "image_height": 240,
                "name": "Habel-09-THB-book cover.jpg",
                "type": "image/jpeg",
                "size": 5851,
                "path": "Publication:Habel-09-THB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/Habel-09-THB-book cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Habel-09-THB/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-09-praguetalk",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Diffusion Curve Images--- Rendering in 2 and 3 Dimensions",
        "date": "2009",
        "abstract": "Diffusion curve images (DCI) provide a powerful tool for efficient 2D\nimage generation, storage and manipulation. A DCI consist of curves with colors defined on either side. By diffusing these colors over the image,\nthe final result includes sharp boundaries along the curves with smoothly shaded regions between them.\n\nThe first part of the talk presents a new Laplacian surface solver for a\nstable rendering of DCIs. It consists of a robust rasterization technique\nto transform the algebraic curves to the discrete image domain, and a\nvariable stencil size diffusion solver that solves the minimal surface problem. The solver is proven to converge to the right solution, it is at\nleast as fast as commonly used multigrid solvers, but much simpler to\nimplement, works for arbitrary image resolutions, as well as 8 bit data.\n\nThe second part of the talk extends the application of diffusion curves to\nrender high quality surface details on 3D objects. The first extension is\na view dependent warping technique that dynamically allocates more texture\nmemory for details close to the observer. The second extension is a\ndynamic feature embedding technique that retains crisp, anti-aliased curve\ndetails even in extreme closeups. The third extension is the application\nof dynamic feature embedding to displacement mapping and geometry images. Our results show high quality renderings at interactive frame rates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1625,
            "image_height": 910,
            "name": "jeschke-09-praguetalk-.png",
            "type": "image/png",
            "size": 131517,
            "path": "Publication:jeschke-09-praguetalk",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "date_from": "2009-10-07",
        "date_to": "2009-10-07",
        "event": "Konversatorium Technical University of Prague ",
        "location": "Prague",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Diffusion curves"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1625,
                "image_height": 910,
                "name": "jeschke-09-praguetalk-.png",
                "type": "image/png",
                "size": 131517,
                "path": "Publication:jeschke-09-praguetalk",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/jeschke-09-praguetalk-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/jeschke-09-praguetalk/",
        "__class": "Publication"
    },
    {
        "id": "karnik-09-shapegrammar",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Shape Grammar for Developing Glyph-based Visualizations",
        "date": "2009",
        "abstract": "In this paper we address the question of how to quickly model glyph-based GIS visualizations. Our solution is based on using shape grammars to set up the different aspects of a visualization, including the geometric content of the visualization, methods for resolving layout conflicts and interaction methods. Our approach significantly\nincreases modeling efficiency over similarly flexible systems currently in use.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example for a city modelled with our shape grammar.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1022,
            "image_height": 746,
            "name": "karnik-09-shapegrammar-image.jpg",
            "type": "image/jpeg",
            "size": 454584,
            "path": "Publication:karnik-09-shapegrammar",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            813,
            356,
            809,
            811,
            814,
            194
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "2176",
        "pages_to": "2188",
        "volume": "28",
        "research_areas": [
            "InfoVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Example for a city modelled with our shape grammar.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1022,
                "image_height": 746,
                "name": "karnik-09-shapegrammar-image.jpg",
                "type": "image/jpeg",
                "size": 454584,
                "path": "Publication:karnik-09-shapegrammar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "karnik-09-shapegrammar-paper.pdf",
                "type": "application/pdf",
                "size": 9826625,
                "path": "Publication:karnik-09-shapegrammar",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/karnik-09-shapegrammar-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/karnik-09-shapegrammar/",
        "__class": "Publication"
    },
    {
        "id": "Karnik-2010-routevis",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Route Visualization using Detail Lenses",
        "date": "2009",
        "abstract": "We present a method designed to address some limitations of typical route map displays of driving directions. The main\r\ngoal of our system is to generate a printable version of a route map that shows the overview and detail views of the route within a single, consistent visual frame. Our proposed visualization provides a more intuitive spatial context than a simple list of turns. We present a novel multi-focus technique to achieve this goal, where the foci are defined by points-of-interest (POI) along the route. A detail lens that encapsulates the POI at a finer geospatial scale is created for each focus. The lenses are laid out on the map to avoid occlusion with the route and each other, and to optimally utilize the free space around the route. We define a set of layout metrics to evaluate the quality of a lens layout for a given route map visualization. We compare standard lens layout methods to our proposed method and demonstrate the effectiveness of our method in generating aesthetically pleasing layouts. Finally, we perform a user study to evaluate the effectiveness of our layout choices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example for a route visualized with our system.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 711,
            "image_height": 522,
            "name": "Karnik-2010-routevis-image.jpg",
            "type": "image/jpeg",
            "size": 421050,
            "path": "Publication:Karnik-2010-routevis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            813,
            809,
            356,
            811,
            194
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "2",
        "pages_from": "235",
        "pages_to": "247",
        "volume": "16",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Example for a route visualized with our system.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 711,
                "image_height": 522,
                "name": "Karnik-2010-routevis-image.jpg",
                "type": "image/jpeg",
                "size": 421050,
                "path": "Publication:Karnik-2010-routevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Karnik-2010-routevis-paper.pdf",
                "type": "application/pdf",
                "size": 14492084,
                "path": "Publication:Karnik-2010-routevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/Karnik-2010-routevis-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Karnik-2010-routevis/",
        "__class": "Publication"
    },
    {
        "id": "Kinkelin_2009",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU Volume Raycasting using Bounding Interval Hierarchies",
        "date": "2009",
        "abstract": "Traditional Direct Volume Raycasting (DVR) on the GPU is limited to uniform voxel grids stored as 3D textures.\r\nThis approach is not optimal for sparse data sets or data sets with highly varying frequencies because it requires\r\na trade-off between data structure size and the maximum reproducible frequency and it lacks implicit empty space\r\nskipping during raycasting.\r\nIn this paper we present another approach, applying the Bounding Interval Hierarchy (BIH), a hierarchical spatial\r\nsubdivision of elements traditionally used to accelerate surface raytracing, to volume raycasting on the GPU.\r\nAlthough connectivity information between voxels is lost and the texture filtering power of GPUs cannot be exploited,\r\nwe show that it may be a viable alternative for DVR and that the approach is generic, allowing all sorts\r\nof renderable voxels (not-overlapping finite volume elements/primitives such as cuboids, ellipsoids and truncated\r\nRadial Basis Functions) for different tasks like rendering point sets as particle systems (e.g. using spherical voxels)\r\nand rendering volumes derived from traditional uniform grids (with implicit empty space skipping and the\r\noption for different levels of detail).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 760,
            "image_height": 640,
            "name": "Kinkelin_2009-image.jpg",
            "type": "image/jpeg",
            "size": 44384,
            "path": "Publication:Kinkelin_2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            905
        ],
        "matrikelnr": "0326997",
        "supervisor": [
            636
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 760,
                "image_height": 640,
                "name": "Kinkelin_2009-image.jpg",
                "type": "image/jpeg",
                "size": 44384,
                "path": "Publication:Kinkelin_2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kinkelin_2009-Paper.pdf",
                "type": "application/pdf",
                "size": 16619339,
                "path": "Publication:Kinkelin_2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/Kinkelin_2009-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Kinkelin_2009/",
        "__class": "Publication"
    },
    {
        "id": "knecht-2009-TAS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Textture-atlases for large scenes",
        "date": "2009",
        "abstract": "This application generates texture-atlases for large scenes in order to create objects that are optimal for rendering with online occlusion culling",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "a texture atlas",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2048,
            "image_height": 2048,
            "name": "knecht-2009-TAS-image.jpg",
            "type": "image/jpeg",
            "size": 1498053,
            "path": "Publication:knecht-2009-TAS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            853
        ],
        "matrikelnr": "0427560",
        "note": "1",
        "supervisor": [
            326
        ],
        "research_areas": [],
        "keywords": [
            "texture atlas",
            "online occlusion culling",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "a texture atlas",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2048,
                "image_height": 2048,
                "name": "knecht-2009-TAS-image.jpg",
                "type": "image/jpeg",
                "size": 1498053,
                "path": "Publication:knecht-2009-TAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-image:thumb{{size}}.png"
            },
            {
                "description": "student project report",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht-2009-TAS-report.pdf",
                "type": "application/pdf",
                "size": 2548198,
                "path": "Publication:knecht-2009-TAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/knecht-2009-TAS-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/knecht-2009-TAS/",
        "__class": "Publication"
    },
    {
        "id": "kohlmann-2009-lssl",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiveSync: Smart Linking of 2D and 3D Views in Medical Applications",
        "date": "2009",
        "abstract": "In this thesis two techniques for the smart linking of 2D and 3D views in\r\nmedical applications are presented. Although real-time interactive 3D volume visualization is available even for very large data sets, it is used quite rarely in the clinical practice. A major obstacle for a better integration in the clinical workflow is the time-consuming process to adjust the parameters to generate diagnostically relevant images. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes, and other parameters. Because of this, current applications primarily employ 2D views generated through standard\r\ntechniques such as multi-planar reformatting (MPR).\r\n\r\nThe LiveSync interaction metaphor is a new concept to synchronize 2D slice\r\nviews and 3D volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with diagnostically relevant images. To achieve this live synchronization\r\na minimal set of derived information, without the need for segmented data sets or data-specific precomputations, is used. The presented system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.\r\n\r\nContextual picking is a novel method for the interactive identification of contextual interest points within volumetric data by picking on a direct volume rendered image. In clinical diagnostics the points of interest are often located in the center of anatomical structures. In order to derive the volumetric position, which\r\nallows a convenient examination of the intended structure, the system automatically extracts contextual meta information from the DICOM (Digital Imaging and Communications in Medicine) images and the setup of the medical workstation. Along a viewing ray for a volumetric picking, the ray profile is analyzed to detect structures which are similar to predefined templates from a knowledge base. It is demonstrated that the obtained position in 3D can be utilized to highlight a structure in 2D slice views, to interactively calculate approximate centerlines of tubular objects, or to place labels at contextually-defined 3D positions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 2103,
            "image_height": 1649,
            "name": "kohlmann-2009-lssl-image.jpg",
            "type": "image/jpeg",
            "size": 328401,
            "path": "Publication:kohlmann-2009-lssl",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605
        ],
        "co_supervisor": [
            171
        ],
        "date_end": "2009-01",
        "date_start": "2006-03",
        "rigorosum": "2009-01-27",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2103,
                "image_height": 1649,
                "name": "kohlmann-2009-lssl-image.jpg",
                "type": "image/jpeg",
                "size": 328401,
                "path": "Publication:kohlmann-2009-lssl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "print version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2009-lssl-print version.pdf",
                "type": "application/pdf",
                "size": 39738191,
                "path": "Publication:kohlmann-2009-lssl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-print version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-print version:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "screen version",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2009-lssl-screen version.pdf",
                "type": "application/pdf",
                "size": 19213873,
                "path": "Publication:kohlmann-2009-lssl",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-screen version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/kohlmann-2009-lssl-screen version:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/kohlmann-2009-lssl/",
        "__class": "Publication"
    },
    {
        "id": "Ladstaedter-2009-sim",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "SimVis: An Interactive Visual Field Exploration Tool Applied to Climate Research",
        "date": "2009",
        "abstract": "Climate research often deals with large multi-dimensional fields describing the state of the atmosphere. A novel approach to gain information about these large data sets has become feasible only recently using 4D visualization techniques. The Simulation Visualization (SimVis) software tool, developed by the VRVis Research Center (Vienna, Austria), uses such techniques to provide access to the data interactively and to explore and analyze large three-dimensional time-dependent fields. Non-trivial visualization approaches are applied to provide a responsive and useful interactive experience for the user. In this study we used SimVis for the investigation of climate research data sets. An ECHAM5 climate model run and the ERA-40 reanalysis data sets were explored, with the ultimate goal to identify parameters and regions reacting most sensitive to climate change, representing robust indicators. The focus lies on the upper troposphere-lower stratosphere (UTLS) region, in view of future applications of the findings to radio occultation (RO) climatologies. First results showing the capability of SimVis to deal with climate data, including trend time series and spatial distributions of RO parameters are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1306,
            "image_height": 572,
            "name": "Ladstaedter-2009-sim-.jpg",
            "type": "image/jpeg",
            "size": 89552,
            "path": "Publication:Ladstaedter-2009-sim",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Ladstaedter-2009-sim/Ladstaedter-2009-sim-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Ladstaedter-2009-sim/Ladstaedter-2009-sim-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1076,
            1077,
            1078,
            1080,
            662,
            983,
            212
        ],
        "booktitle": "New Horizons in Occultation Research",
        "pages_from": "235",
        "pages_to": "245",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1306,
                "image_height": 572,
                "name": "Ladstaedter-2009-sim-.jpg",
                "type": "image/jpeg",
                "size": 89552,
                "path": "Publication:Ladstaedter-2009-sim",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Ladstaedter-2009-sim/Ladstaedter-2009-sim-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/Ladstaedter-2009-sim/Ladstaedter-2009-sim-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/Ladstaedter-2009-sim/",
        "__class": "Publication"
    },
    {
        "id": "lie-2009-cri",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Critical Design and Realization Aspects of Glyph-based 3D Data Visualization",
        "date": "2009",
        "abstract": "Glyphs are useful for the effective visualization of multi-variate data. They allow for easily relating multiple data attributes to each other in a coherent visualization approach. While the basic principle of glyph-based visualization has been known for a long time, scientific interest has recently increased focus on the question of how to achieve a clever and successful glyph design. Along this newer trend, we present a structured discussion of several critical design aspects of glyph-based visualization with a special focus on 3D data. For three consecutive steps of data mapping, glyph instantiation, and rendering, we identify a number of design considerations. We illustrate our discussion with a new glyph-based visualization of time-dependent 3D simulation data and demonstrate how effective results are achieved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 737,
            "image_height": 793,
            "name": "lie-2009-cri-.png",
            "type": "image/png",
            "size": 77136,
            "path": "Publication:lie-2009-cri",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/lie-2009-cri/lie-2009-cri-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/lie-2009-cri/lie-2009-cri-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1098,
            983,
            176
        ],
        "booktitle": "Proceedings of the Spring Conference on Computer Graphics (SCCG 2009)",
        "lecturer": [
            1098
        ],
        "location": "Budmerice, Slovakia",
        "pages_from": "27",
        "pages_to": "34",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 737,
                "image_height": 793,
                "name": "lie-2009-cri-.png",
                "type": "image/png",
                "size": 77136,
                "path": "Publication:lie-2009-cri",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/lie-2009-cri/lie-2009-cri-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/lie-2009-cri/lie-2009-cri-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/lie-2009-cri/",
        "__class": "Publication"
    },
    {
        "id": "beham_2009.2009-EVS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Vienna Scene",
        "date": "2009",
        "abstract": "Enhancing the Vienna scene for the FriendlyCulling occlusion culling application with dynamic objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            816,
            815
        ],
        "date_end": "2010-04-29",
        "date_start": "2009-07",
        "matrikelnr": "e0726417, e0627715 ",
        "supervisor": [
            326
        ],
        "research_areas": [],
        "keywords": [
            "Occlusion Culling",
            "Modelling",
            "Maya"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/beham_2009.2009-EVS/",
        "__class": "Publication"
    },
    {
        "id": "bhagvat-09-frusta",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU Rendering of Relief Mapped Conical Frusta",
        "date": "2009",
        "abstract": "This paper proposes to use relief-mapped conical frusta (cones cut by planes) to skin skeletal objects. Based on this representation, current programmable graphics hardware can perform the rendering with only minimal communication between the CPU and GPU. A consistent definition of conical frusta including texture parametrization and a continuous surface normal is provided. Rendering is performed by analytical ray casting of the relief-mapped frusta directly on the GPU. We demonstrate both static and animated objects rendered using our technique and compare to polygonal renderings of similar quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Example for an object modelled and rendered from conical frustra.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 928,
            "image_height": 575,
            "name": "bhagvat-09-frusta-image.jpg",
            "type": "image/jpeg",
            "size": 315778,
            "path": "Publication:bhagvat-09-frusta",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            810,
            356,
            809,
            194
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "28",
        "pages_from": "2131",
        "pages_to": "2139",
        "volume": "8",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Example for an object modelled and rendered from conical frustra.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 928,
                "image_height": 575,
                "name": "bhagvat-09-frusta-image.jpg",
                "type": "image/jpeg",
                "size": 315778,
                "path": "Publication:bhagvat-09-frusta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-image:thumb{{size}}.png"
            },
            {
                "description": "preprint",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bhagvat-09-frusta-paper.pdf",
                "type": "application/pdf",
                "size": 4463463,
                "path": "Publication:bhagvat-09-frusta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/bhagvat-09-frusta-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/bhagvat-09-frusta/",
        "__class": "Publication"
    },
    {
        "id": "BirsakHanzl-2009",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "SolarTransporter",
        "date": "2009",
        "abstract": "The aim of this project was the development of the Android game SolarTransporter  and its public release. SolarTransporter is a 3D game based on the Android plattform.\r\n\r\nThe aim of the game is to transport a given number of passengers to their favoured positions in 3 minutes per level. There are 7 levels, 7 bonus levels, many objects like asteroids and 2 highscores. Use the accelerometer to control the transporter!\r\n\r\nThe full documentation is available at:\r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/MBirsakMHanzl/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "title image",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 180,
            "image_height": 120,
            "name": "BirsakHanzl-2009-image.png",
            "type": "image/png",
            "size": 18277,
            "path": "Publication:BirsakHanzl-2009",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            836,
            837
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [
            "Android",
            "3D Game",
            "OpenGL ES"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "title image",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 180,
                "image_height": 120,
                "name": "BirsakHanzl-2009-image.png",
                "type": "image/png",
                "size": 18277,
                "path": "Publication:BirsakHanzl-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-image:thumb{{size}}.png"
            },
            {
                "description": "presentation",
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "BirsakHanzl-2009-presentation.pptx",
                "type": "application/zip",
                "size": 1878276,
                "path": "Publication:BirsakHanzl-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-presentation.pptx",
                "thumb_image_sizes": []
            },
            {
                "description": "screenshot",
                "filetitle": "screenshot1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 320,
                "image_height": 480,
                "name": "BirsakHanzl-2009-screenshot1.png",
                "type": "image/png",
                "size": 28441,
                "path": "Publication:BirsakHanzl-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-screenshot1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-screenshot1:thumb{{size}}.png"
            },
            {
                "description": "screenshot",
                "filetitle": "screenshot2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 320,
                "image_height": 480,
                "name": "BirsakHanzl-2009-screenshot2.png",
                "type": "image/png",
                "size": 42922,
                "path": "Publication:BirsakHanzl-2009",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-screenshot2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/BirsakHanzl-2009-screenshot2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/BirsakHanzl-2009/",
        "__class": "Publication"
    },
    {
        "id": "weidlich_2009_EPLBM",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploring the Potential of Layered BRDF Models",
        "date": "2009",
        "abstract": "This course serves as a guide on the considerable potential of layered surface models. The key advantage of using such layered BRDFs over traditional, more general shading language constructs is that the end result is automatically highly physically plausible.\r\n\r\nIn particular, we demonstrate on a simple layered surface model that combines several traditional BRDF components how a surprisingly large number of interesting and important surface types can be efficiently represented by using the same, not particularly complex, BRDF code. We also show how handy such an approach is for the eventual end user, whose main concern is the ease with which one can describe object appearance based only on a few intuitive parameters.\r\n\r\nWe first discuss layered surface models in computer graphics and the constraints of modelling object appearance in a physically plausible fashion. We then demonstrate the techniques that can be used to efficiently evaluate layered BRDF models, give examples of the surface types that can be described in this way. We also go beyond plain surface models, and showcase how a texture-based combination of layered surface components can be used to describe highly complex object appearance attributes, while implicitly remaining physically plausible.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 645,
            "image_height": 584,
            "name": "weidlich_2009_EPLBM-image.jpg",
            "type": "image/jpeg",
            "size": 70841,
            "path": "Publication:weidlich_2009_EPLBM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_EPLBM/weidlich_2009_EPLBM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_EPLBM/weidlich_2009_EPLBM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "booktitle": "SIGGRAPH Asia 2009 Courses",
        "date_from": "2009-12-16",
        "date_to": "2009-12-19",
        "location": "Yokohama, Japan",
        "publisher": "webpage: http://portal.acm.org/citation.cfm?id=1665824",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 645,
                "image_height": 584,
                "name": "weidlich_2009_EPLBM-image.jpg",
                "type": "image/jpeg",
                "size": 70841,
                "path": "Publication:weidlich_2009_EPLBM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_EPLBM/weidlich_2009_EPLBM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_EPLBM/weidlich_2009_EPLBM-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/weidlich_2009_EPLBM/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-209.pr",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Predictive Rendering",
        "date": "2009",
        "abstract": "This course intends to serve two closely related purposes: to provide an accurate definition of the term predictive rendering, the sub-discipline of computer graphics that attempts to provide reliable predictions of object appearance, and to present the technological foundations on which one can currently conduct research in this area.\r\n\r\nThe first goal of the course – a clear definition of what predictive rendering actually is – seems to be necessary due to the extreme prevalence of its antonym, believable rendering. Practically all contemporary production computer graphics, as well as most current graphics research efforts, fall into the latter category. Coupled with the fact that in the collective mindset of the graphics community, the distinction between these areas has, for a variety of reasons, been somewhat blurry so far, a precise clarifying statement appears to be in order.\r\n\r\nThe second, much larger and technical part of the course then presents the foundations of current predictive rendering. Unlike believable rendering, where any technology that delivers visually convincing (as opposed to radiometrically correct) results is acceptable for a given task, a predictive pipeline suffers from the fundamental problem that all components – modeling, rendering, display – have to be of a uniformly high quality to ensure a predictive result. This fact has, over time, no doubt served to deter many researchers from entering this promising and interesting field, in which a large amount of work still lies ahead of us.\r\n\r\nIn the second part, we cover an entire predictive rendering pipeline, and for each stage present those – in some cases surprisingly few – graphics technologies that can be used in such a context. This course should enable anyone with a solid background in graphics to bootstrap a basic predictive rendering environment, with which further research, or perhaps even specialised production work, can be conducted.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 776,
            "image_height": 503,
            "name": "wilkie-209.pr-.jpg",
            "type": "image/jpeg",
            "size": 103158,
            "path": "Publication:wilkie-209.pr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-209.pr/wilkie-209.pr-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-209.pr/wilkie-209.pr-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            567,
            842,
            305
        ],
        "booktitle": "SIGGRAPH Asia 2009 Courses",
        "date_from": "2009-12-16",
        "date_to": "2009-12-19",
        "location": "Yokohama, Japan",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 776,
                "image_height": 503,
                "name": "wilkie-209.pr-.jpg",
                "type": "image/jpeg",
                "size": 103158,
                "path": "Publication:wilkie-209.pr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-209.pr/wilkie-209.pr-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-209.pr/wilkie-209.pr-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/wilkie-209.pr/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-ARTR",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advances in Real-Time Rendering",
        "date": "2009",
        "abstract": "Real-time rendering is a quickly developing field in computer graphics. Recent advances in graphics hardware make it possible to tackle completely new challenges, and to rethink old ones. While previously, the main focus of real-time rendering lay on classical problems like visibility and level-of-detail rendering, nowadays we see new challenges in the form of interactive procedural content generation, handling of massive amounts of data, and interactive simulation of extremely complex objects like trees.\n\nIn this talk, I will try to broaden the definition of real-time rendering and give some insights how to address new research challenges. Starting with a few classical problems like rendering accurate shadows, achieving smooth transitions between different levels of detail, and global visibility computations, I will then show a few examples of recent advances in real-time rendering. One challenge is the ever-increasing size of models due to automatic acquisition methods like range scanners. In a new system we have developed, we are able to visualize and interact with datasets of over 1 Billion raw points. Another source of large models is procedural modeling, and we have developed a method to aid designers in creating these models interactively. Finally, vegetation plays an important role in interactive scenes. I will show a system to simulate both illumination and animation in such complex vegetation very realistically.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2009-10-22",
        "date_to": "2009-10-23",
        "event": "7th Eurographics Italian Chapter Conference 2009",
        "location": "Verona, Italy",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-ARTR/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-ARTR2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advances in Real-Time Rendering",
        "date": "2009",
        "abstract": "Real-time rendering is a quickly developing field in computer graphics. Recent advances in graphics hardware make it possible to tackle completely new challenges, and to rethink old ones. While previously, the main focus of real-time rendering lay on classical problems like visibility and level-of-detail rendering, nowadays we see new challenges in the form of interactive procedural content generation, handling of massive amounts of data, and interactive simulation of extremely complex objects.\n\nIn this talk, I will cover some of the recent advances we had in our group. First, we try to integrate procedural modeling techniques with the new parallel programming paradigms made commonly available through modern GPUs, and map L-system generation onto hardware to accelerate the generation of large L-systems. Then, I'll briefly show some results for really large scale visualization and editing of a huge point-based model consisting of over 1.2 Billion point samples of a Roman catacomb. Finally, I will treat a new approach to handle the classical visibility problem, where we show how to calculate visibility of a whole scene by exploiting the spatial coherence of visibility, thus accelerating the process so it becomes viable for interactive scene design. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2009-07-27",
        "event": "University of Erlangen Research Seminar",
        "location": "Erlangen, Germany",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-ARTR2/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-ARTR3",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advances in Real-Time Rendering",
        "date": "2009",
        "abstract": "Real-time rendering is a quickly developing field in computer graphics. Recent advances in graphics hardware make it possible to tackle completely new challenges, and to rethink old ones. While previously, the main focus of real-time rendering lay on classical problems like visibility and level-of-detail rendering, nowadays we see new challenges in the form of interactive procedural content generation, handling of massive amounts of data, and interactive simulation of extremely complex objects like trees.\n\nIn this talk, I will try to broaden the definition of real-time rendering and give some insights how to address new research challenges. Starting with a few classical problems like rendering accurate shadows, achieving smooth transitions between different levels of detail, and global visibility computations, I will then show a few examples of recent advances in real-time rendering. One challenge is the ever-increasing size of models due to automatic acquisition methods like range scanners. In a new system we have developed, we are able to visualize and interact with datasets of over 1 Billion raw points. Another source of large models is procedural modeling, and we have developed a method to aid designers in creating these models interactively. Finally, vegetation plays an important role in interactive scenes. I will show a system to simulate both illumination and animation in such complex vegetation very realistically.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2009-04-23",
        "date_to": "2009-04-25",
        "event": "25th Spring Conference on Computer Graphics (SCCG2009)",
        "location": "Budmerice, Slovakia",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-ARTR3/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-CSR",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Casting Shadows in Real Time",
        "date": "2009",
        "abstract": "Shadows are crucial for enhancing realism and provide important visual cues. In recent years, many important contributions have been made both for hard shadows and soft shadows. Often spurred by the tremendous increase of computational power and capabilities of graphics hardware, much progress has been made concerning visual quality and speed, making high-quality real-time shadows a reachable goal. But with the growing wealth of available choices, it is particularly difficult to pick the right solution and assess shortcomings. Because currently there is no ultimate approach available, algorithms should be selected in accordance to the context in which shadows are produced. The possibilities range across a wide spectrum; from very approximate but really efficient to slower but accurate, adapted only to smaller or only to larger sources, addressing directional lights or positional lights, or involving GPU- or CPU-heavy computations. This course tries to serve as a guide to better understand limitations and failure cases, advantages and disadvantages, and suitability of the algorithms for different application scenarios. We will focus on real-time to interactive solutions but also discuss offline approaches if needed for a better understanding.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "WIMMER-2009-CSR-.png",
            "type": "image/png",
            "size": 131519,
            "path": "Publication:WIMMER-2009-CSR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-CSR/WIMMER-2009-CSR-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-CSR/WIMMER-2009-CSR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            823,
            824,
            825,
            193
        ],
        "booktitle": "ACM SIGGRAPH Asia 2009 Courses",
        "date_from": "2009-12-16",
        "date_to": "2009-12-19",
        "location": "Yokohama, Japan",
        "note": "Lecturer: Daniel Scherzer",
        "publisher": "ACM",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://portal.acm.org/toc.cfm?id=1665817&amp;type=proceeding&amp;coll=Portal&amp;dl=GUIDE&amp;CFID=72600502&amp;CFTOKEN=13110597",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "WIMMER-2009-CSR-.png",
                "type": "image/png",
                "size": 131519,
                "path": "Publication:WIMMER-2009-CSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-CSR/WIMMER-2009-CSR-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-CSR/WIMMER-2009-CSR-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-CSR/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-ITC",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "IT in Computerspielen: Ausbildung und Forschung",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2009-11-05",
        "date_to": "2009-11-05",
        "event": "Veranstaltungsreihe Was IT alles kann ",
        "location": "Techgate Vienna",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-ITC/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2009-VCCG",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Computation in Computer Graphics",
        "date": "2009",
        "abstract": "Visibility computation is an essential part of many computer graphics applications, for example for real-time rendering of very large scenes. Visibility can either be precomputed offline, which is a good strategy for static scenes, or calculated at runtime, which avoids precomputation and works well for dynamic scenes. In this presentation, I will cover the latest advances in both of these principal directions. For visibility precomputation, we have shown that sampling is superior to full geometric approaches for practical applications, due to its efficiency and robustness. For online visibility culling, we show how to make the best possible use of hardware occlusion queries without introducing latency and overhead.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2009-02-02",
        "date_to": "2009-02-04",
        "event": "14th Computer Vision Winter Workshop (CVWW2009)",
        "location": "Eibiswald, Austria",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GPV"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/WIMMER-2009-VCCG/",
        "__class": "Publication"
    },
    {
        "id": "MuehlbacherArbesser-2009-LMDLightcuts",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lightcuts in CUDA",
        "date": "2009",
        "abstract": "Instant Radiosity is a very flexible method for rendering global illumination. Lightcuts is a hierarchical version of Instant Radiosity. This project analyzes and compares a CUDA and a CPU implementation of Lightcuts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Results on a cornell box scene.",
            "filetitle": "Test Scene",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 400,
            "image_height": 400,
            "name": "MuehlbacherArbesser-2009-LMDLightcuts-Test Scene.jpg",
            "type": "image/jpeg",
            "size": 30610,
            "path": "Publication:MuehlbacherArbesser-2009-LMDLightcuts",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Test Scene.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Test Scene:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            804,
            805
        ],
        "date_start": "2009-07-22",
        "matrikelnr": "0625075, 0625176",
        "note": "1",
        "supervisor": [
            627
        ],
        "research_areas": [],
        "keywords": [
            "CUDA",
            "Lightcuts",
            "Instant Radiosity",
            "Lighting and Material Design",
            "Global Illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "MuehlbacherArbesser-2009-LMDLightcuts-Code.zip",
                "type": "application/zip",
                "size": 53197534,
                "path": "Publication:MuehlbacherArbesser-2009-LMDLightcuts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Code.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "Tech Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MuehlbacherArbesser-2009-LMDLightcuts-Tech Report.pdf",
                "type": "application/pdf",
                "size": 281670,
                "path": "Publication:MuehlbacherArbesser-2009-LMDLightcuts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Tech Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Tech Report:thumb{{size}}.png"
            },
            {
                "description": "Results on a cornell box scene.",
                "filetitle": "Test Scene",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 400,
                "image_height": 400,
                "name": "MuehlbacherArbesser-2009-LMDLightcuts-Test Scene.jpg",
                "type": "image/jpeg",
                "size": 30610,
                "path": "Publication:MuehlbacherArbesser-2009-LMDLightcuts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Test Scene.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/MuehlbacherArbesser-2009-LMDLightcuts-Test Scene:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/MuehlbacherArbesser-2009-LMDLightcuts/",
        "__class": "Publication"
    },
    {
        "id": "patel-2009-kav",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge-assisted visualization of seismic data",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 410,
            "image_height": 474,
            "name": "patel-2009-kav-image.jpg",
            "type": "image/jpeg",
            "size": 47722,
            "path": "Publication:patel-2009-kav",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            832,
            176,
            668,
            166
        ],
        "issn": "0097-8493",
        "journal": "Computer & Graphics",
        "note": "Publisher: Elsevier",
        "number": "5",
        "pages_from": "585",
        "pages_to": "596",
        "volume": "33",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 410,
                "image_height": 474,
                "name": "patel-2009-kav-image.jpg",
                "type": "image/jpeg",
                "size": 47722,
                "path": "Publication:patel-2009-kav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel-2009-kav-paper.pdf",
                "type": "application/pdf",
                "size": 1806131,
                "path": "Publication:patel-2009-kav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/patel-2009-kav-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/patel-2009-kav/",
        "__class": "Publication"
    },
    {
        "id": "preim-2009-sve",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Survey of the Visual Exploration and Analysis of Perfusion Data",
        "date": "2009",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 369,
            "image_height": 168,
            "name": "preim-2009-sve-image.jpg",
            "type": "image/jpeg",
            "size": 22361,
            "path": "Publication:preim-2009-sve",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            563,
            751,
            179,
            166,
            752,
            5348
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "2",
        "pages_from": "205",
        "pages_to": "220",
        "volume": "15",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 369,
                "image_height": 168,
                "name": "preim-2009-sve-image.jpg",
                "type": "image/jpeg",
                "size": 22361,
                "path": "Publication:preim-2009-sve",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "preim-2009-sve-paper.pdf",
                "type": "application/pdf",
                "size": 2732585,
                "path": "Publication:preim-2009-sve",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/preim-2009-sve-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/preim-2009-sve/",
        "__class": "Publication"
    },
    {
        "id": "PREINER-2009-GIPC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global Illumination for Point Clouds",
        "date": "2009",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            799
        ],
        "date_end": "2009-10-08",
        "date_start": "2009-07-17",
        "matrikelnr": "0430380",
        "supervisor": [
            193,
            614
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2009/PREINER-2009-GIPC/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-12",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Exploration for Parameter Studies of Industrial CT Dataset Series",
        "date": "2008-12",
        "abstract": "This paper proposes comparison and visualization techniques to carry out parameter studies for the special application area of dimensional measurement using 3D X-ray computed tomography~(ICT). A dataset series is generated by scanning a specimen multiple times by varying parameters of an industrial CT device. A high resolution series is explored using our multi-planar reformating (MPR) based exploration system. We present an evaluation system~(multi-image view) and an edge explorer for comparison and visualization of grey values and edges of several datasets simultaneously. Visualization results and quantitative data are displayed side by side. For fast data retrieval and convenient usability we use bricking of the datasets, and efficient data structures. Graphics hardware is used for interactive visualization. We studied the applicability of our proposed visualization techniques in collaboration with our company partners. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "TR-186-2-08-12-.png",
            "type": "image/png",
            "size": 582022,
            "path": "Publication:TR-186-2-08-12",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            611,
            166
        ],
        "number": "TR-186-2-08-12",
        "research_areas": [],
        "keywords": [
            "Multi-Datasets",
            "Industrial Computed Tomography",
            "MPR",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "TR-186-2-08-12-.png",
                "type": "image/png",
                "size": 582022,
                "path": "Publication:TR-186-2-08-12",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Technical Report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1024,
                "preview_image_height": 1024,
                "name": "TR-186-2-08-12-Technical Report.pdf",
                "type": "application/pdf",
                "size": 3819054,
                "path": "Publication:TR-186-2-08-12",
                "preview_name": "TR-186-2-08-12-Technical Report:preview.png",
                "preview_type": "image/png",
                "preview_size": 582022,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/TR-186-2-08-12-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-12/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-13",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Visualization and Reconstruction from Non-uniform Point Sets",
        "date": "2008-12",
        "abstract": "In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets. We adopt a variational method for the reconstruction of 3D non-uniform data to a uniform grid of chosen resolution. We will extend this reconstruction to an efficient multi-resolution uniform representation of the underlying data. Our multi-resolution representation includes a traditional bottom-up multi-resolution approach and a novel top-down hierarchy for adaptive hierarchical reconstruction. Using a hybrid regularization functional we can improve the reconstruction results. Finally, we discuss further application scenarios and show rendering results to emphasize the effectiveness and quality of our proposed framework. By means of qualitative results and error comparisons we demonstrate superiority of our method compared to competing methods.",
        "authors_et_al": false,
        "substitute": "vucini_2009",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 900,
            "image_height": 450,
            "name": "TR-186-2-08-13-image.png",
            "type": "image/png",
            "size": 1217474,
            "path": "Publication:TR-186-2-08-13",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            196,
            166
        ],
        "number": "2008",
        "research_areas": [],
        "keywords": [
            "Non-uniform Representation",
            "Multi-resolution",
            "Regularization",
            "Variational Reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 900,
                "image_height": 450,
                "name": "TR-186-2-08-13-image.png",
                "type": "image/png",
                "size": 1217474,
                "path": "Publication:TR-186-2-08-13",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-13-paper.pdf",
                "type": "application/pdf",
                "size": 4999859,
                "path": "Publication:TR-186-2-08-13",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/TR-186-2-08-13-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-13/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-14",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Linking of 2D and 3D Views in Medical Applications",
        "date": "2008-12",
        "abstract": "This paper presents two techniques for the linking of 2D and 3D views in medical applications. Hereby, the\ngoal is a better integration of 3D volume visualization into the diagnostic workflow. Until now, the main obstacle for a good integration is the time-consuming process to adjust various parameters. The LiveSync interaction metaphor is a new concept to synchronize\n2D slice views and 3D volumetric views of medical data sets. A single intuitive picking interaction on anatomical structures which are detected in 2D slices results in an automatically generated 3D view. To further improve the integration contextual picking is\npresented as a method for the interactive identification of contextual interest points within volumetric data.\nOur results demonstrate how these techniques improve the efficiency to generate diagnostically relevant images\nand how contextual interest points can, e.g., facilitate the highlighting of relevant structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1098,
            "image_height": 756,
            "name": "TR-186-2-08-14-image.jpg",
            "type": "image/jpeg",
            "size": 86131,
            "path": "Publication:TR-186-2-08-14",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "number": "TR-186-2-08-14",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1098,
                "image_height": 756,
                "name": "TR-186-2-08-14-image.jpg",
                "type": "image/jpeg",
                "size": 86131,
                "path": "Publication:TR-186-2-08-14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "technical report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-14-technical report.pdf",
                "type": "application/pdf",
                "size": 3659579,
                "path": "Publication:TR-186-2-08-14",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/TR-186-2-08-14-technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-14/",
        "__class": "Publication"
    },
    {
        "id": "brandstetter-2008-rbf",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radial Basis Function Networks GPU Based Implementation",
        "date": "2008-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            774,
            191
        ],
        "issn": "1045-9227",
        "journal": "IEEE Transaction on Neural Network",
        "number": "12",
        "pages_from": "2150",
        "pages_to": "2161",
        "volume": "19",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/brandstetter-2008-rbf/",
        "__class": "Publication"
    },
    {
        "id": "charalambos-thesis_hlod",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "HLOD Refinement Driven by Hardware Occlusion Queries",
        "date": "2008-12",
        "abstract": "In order to achieve interactive rendering of complex models comprising several millions\r\nof polygons, the amount of processed data has to be substantially reduced. Level-ofdetail\r\n(LOD) methods allow the amount of data sent to the GPU to be aggressively\r\nreduced at the expense of sacrificing image quality. Hierarchical level-of-detail (HLOD)\r\nmethods have proved particularly capable of interactive visualisation of huge data sets\r\nby precomputing levels-of-detail at different levels of a spatial hierarchy. HLODs support\r\nout-of-core algorithms in a straightforward way and allow an optimal balance between\r\nCPU and GPU load during rendering.\r\nOcclusion culling represents an orthogonal approach for reducing the amount of rendered\r\nprimitives. Occlusion culling methods aim to quickly cull the invisible part of the\r\nmodel and render only its visible part. Most recent methods use hardware occlusion\r\nqueries (HOQs) to achieve this task.\r\nThe effects of HLODs and occlusion culling can be successfully combined. Firstly,\r\nnodes which are completely invisible can be culled. Secondly, HOQ results can be used\r\nfor visible nodes when refining an HLOD model; according to the degree of visibility of a\r\nnode and the visual masking perceptual phenomenon, then it could be determined that\r\nthere would be no gain in the final appearance of the image obtained if the node were\r\nfurther refined. In the latter case, HOQs allow more aggressive culling of the HLOD\r\nhierarchy, further reducing the amount of rendered primitives. However, due to the\r\nlatency between issuing an HOQ and the availability of its result, the direct use of HOQs\r\nfor refinement criteria cause CPU stalls and GPU starvation.\r\nThis thesis introduces a novel error metric, taking visibility information (gathered from\r\nHOQs) as an integral part of refining an HLOD model, this being the first approach\r\nwithin this context to the best of our knowledge. A novel traversal algorithm for HLOD\r\nrefinement is also presented for taking full advantage of the introduced HOQ-based error\r\nmetric. The algorithm minimises CPU stalls and GPU starvation by predicting HLOD\r\nrefinement conditions using spatio-temporal coherence of visibility.\r\nSome properties of the combined approach presented here involve improved performance\r\nhaving the same visual quality (whilst our occlusion culling technique still remained\r\nconservative). Our error metric supports both polygon-based and point-based\r\nHLODs, ensuring full use of HOQ results (our error metrics take full advantage of the\r\ninformation gathered in HOQs). Our traversal algorithm makes full use of the spatial\r\nand temporal coherency inherent in hierarchical representations. Our approach can be\r\nstraightforwardly implemented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1000,
            "image_height": 478,
            "name": "charalambos-thesis_hlod-image.png",
            "type": "image/png",
            "size": 134213,
            "path": "Publication:charalambos-thesis_hlod",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            621
        ],
        "co_supervisor": [
            686
        ],
        "date_end": "2008",
        "rigorosum": "2008-02-20",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1000,
                "image_height": 478,
                "name": "charalambos-thesis_hlod-image.png",
                "type": "image/png",
                "size": 134213,
                "path": "Publication:charalambos-thesis_hlod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "charalambos-thesis_hlod-paper.pdf",
                "type": "application/pdf",
                "size": 2553154,
                "path": "Publication:charalambos-thesis_hlod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/charalambos-thesis_hlod-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/charalambos-thesis_hlod/",
        "__class": "Publication"
    },
    {
        "id": "deix-2008-rcp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Der Re-Compose Prototyp",
        "date": "2008-11",
        "abstract": "This diploma thesis has been set up in collaboration with Re-Compose GmbH and\r\nits founder and managing director, Dr. Stefan Oertl. The main focus was the implementation\r\nof prototype software which connects audio software applications to a\r\nmusic analysis module developed by Re-Compose employee, DI Brigitte Rafael. An audio\r\nhost sequencer and the former mentioned Re-Compose Logic are linked via the\r\nVirtual Studio Technology interface (VST). Music information is exchanged via the\r\nMusical Instrument Digital Interface protocol (MIDI). The prototype employs the Java\r\nNative Interface (JNI) to invoke the Re-Compose analysis module coded in the Java\r\nprogramming language. This paper describes the design and structure of the implemented\r\nRe-Compose prototype and gives a prospect of future challenges.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            753
        ],
        "diploma_examina": "2008-11-26",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "deix-2008-rcp-paper.pdf",
                "type": "application/pdf",
                "size": 1004058,
                "path": "Publication:deix-2008-rcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/deix-2008-rcp/deix-2008-rcp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/deix-2008-rcp/deix-2008-rcp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/deix-2008-rcp/",
        "__class": "Publication"
    },
    {
        "id": "emsenhuber-2008-vhd",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Histograms in Direct Volume Rendering",
        "date": "2008-11",
        "abstract": "This thesis introduces visibility histograms as a method for analyzing volumetric\r\ndatasets. These histograms show how much the data points within a 3D dataset\r\nthat have the same scalar value influence the image which is created by rendering\r\nthe dataset with a particular transfer function and from a particular viewing\r\ndirection. These histograms can be used to gain insights into the internal structure\r\nof volumetric datasets, in particular information about occlusions. Furthermore,\r\nthe possibility of automatically calculating transfer functions which generate a\r\nparticular visibility histogram when applied to a dataset from a particular viewing\r\ndirection is explored. Two methods which can be used to calculate a matching\r\ntransfer function for a visibility histogram are explained, one of which is based on\r\na genetic algorithm approach, while the other is an heuristic.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 974,
            "image_height": 952,
            "name": "emsenhuber-2008-vhd-image.jpg",
            "type": "image/jpeg",
            "size": 268852,
            "path": "Publication:emsenhuber-2008-vhd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568
        ],
        "diploma_examina": "2008-11-04",
        "supervisor": [
            166,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 974,
                "image_height": 952,
                "name": "emsenhuber-2008-vhd-image.jpg",
                "type": "image/jpeg",
                "size": 268852,
                "path": "Publication:emsenhuber-2008-vhd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "emsenhuber-2008-vhd-paper.pdf",
                "type": "application/pdf",
                "size": 4728623,
                "path": "Publication:emsenhuber-2008-vhd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/emsenhuber-2008-vhd-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/emsenhuber-2008-vhd/",
        "__class": "Publication"
    },
    {
        "id": "reitsamer-2008-tsud",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Texture Synthesis for Urban Data",
        "date": "2008-11",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 424,
            "image_height": 225,
            "name": "reitsamer-2008-tsud-image.jpg",
            "type": "image/jpeg",
            "size": 47591,
            "path": "Publication:reitsamer-2008-tsud",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            740
        ],
        "date_end": "2008",
        "date_start": "2008",
        "diploma_examina": "2008-11-22",
        "matrikelnr": "0000000",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 424,
                "image_height": 225,
                "name": "reitsamer-2008-tsud-image.jpg",
                "type": "image/jpeg",
                "size": 47591,
                "path": "Publication:reitsamer-2008-tsud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "reitsamer-2008-tsud-thesis.pdf",
                "type": "application/pdf",
                "size": 20723094,
                "path": "Publication:reitsamer-2008-tsud",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/reitsamer-2008-tsud-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/reitsamer-2008-tsud/",
        "__class": "Publication"
    },
    {
        "id": "Scheiblauer-2008-DCW",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Domitilla Catacomb Walkthrough - dealing with more than 1 billion points",
        "date": "2008-11",
        "abstract": "Range laser scanning evolved as a means for documenting buildings or archeological excavation sites. Point clouds resulting from these laser scans can consist of hundreds of millions of points. To get a clean model from this vast amount of data needs several person months. Instead we try to visualize the data directly, so archeologists can have a quick overview of the already scanned areas (e.g., during a scanning campaign). The models in our viewer are combined point clouds from several scan positions, and it is possible to add new point clouds to an existing model. We also allow for deleting points from the model. Furthermore we developed a heuristic to estimate point sizes, which enables the viewer to display surfaces as closed objects without a special preprocessing step. For the point size heuristic it suffices to know the positions of the points.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Overview of the Domitilla Catacomb model",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1598,
            "image_height": 1061,
            "name": "Scheiblauer-2008-DCW-Image.jpg",
            "type": "image/jpeg",
            "size": 304984,
            "path": "Publication:Scheiblauer-2008-DCW",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614
        ],
        "booktitle": "Proceedings of the 13th International Congress on Cultural Heritage and New Technologies",
        "date_from": "2008-11-03",
        "date_to": "2008-11-05",
        "isbn": "978-3-85161-016-1",
        "lecturer": [
            614
        ],
        "location": "Vienna City Hall",
        "note": "Cultural Heritage & New Technologies",
        "series": "Tagungsreihe \"Kulturelles Erbe und Neue Technologien\" - Workshop \"Archäologie und Computer\"",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "laser scanning",
            "virtual reconstruction",
            "point-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Overview of the Domitilla Catacomb model",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1598,
                "image_height": 1061,
                "name": "Scheiblauer-2008-DCW-Image.jpg",
                "type": "image/jpeg",
                "size": 304984,
                "path": "Publication:Scheiblauer-2008-DCW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Image:thumb{{size}}.png"
            },
            {
                "description": "The paper submitted to the conference",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Scheiblauer-2008-DCW-Paper.pdf",
                "type": "application/pdf",
                "size": 1407511,
                "path": "Publication:Scheiblauer-2008-DCW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/Scheiblauer-2008-DCW-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Scheiblauer-2008-DCW/",
        "__class": "Publication"
    },
    {
        "id": "Freiler-2008-Set",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Set-Typed Data",
        "date": "2008-11",
        "abstract": "While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous, multivariate\r\ndatasets, most existing techniques still focus on the most usual data types such as numerical attributes or strings.\r\nIn this paper we present a new approach to the interactive visual exploration and analysis of data that contains attributes which are\r\nof set type. A set-typed attribute of a data item – like one cell in a table – has a list of n ¸ 0 elements as a value. We present the\r\nset’o’gram as a visualization approach to represent data of set type and to enable interactive visual analysis. We also demonstrate\r\nhow this approach is capable to help in dealing with datasets that have truly many dimensions (more than a dozen or more), especially\r\nin the context of categorical data.\r\nTo illustrate the effectiveness of our approach, we present the interactive visual analysis of a CRM dataset with data from a questionnaire\r\non the education and shopping habits of about 90000 people.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 630,
            "image_height": 657,
            "name": "Freiler-2008-Set-image.jpg",
            "type": "image/jpeg",
            "size": 56843,
            "path": "Publication:Freiler-2008-Set",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            758,
            235,
            176
        ],
        "date_from": "2008-10-19",
        "date_to": "2008-10-24",
        "event": "IEEE Info Vis ",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            758
        ],
        "location": "Columbus, Ohio",
        "number": "6",
        "volume": "14",
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analysis",
            " Multiple Coordinated Views",
            "Focus & Context",
            "Categorical Data",
            "Multidimensional Multivariate Data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 630,
                "image_height": 657,
                "name": "Freiler-2008-Set-image.jpg",
                "type": "image/jpeg",
                "size": 56843,
                "path": "Publication:Freiler-2008-Set",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Freiler-2008-Set-paper.pdf",
                "type": "application/pdf",
                "size": 593020,
                "path": "Publication:Freiler-2008-Set",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/Freiler-2008-Set-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Freiler-2008-Set/",
        "__class": "Publication"
    },
    {
        "id": "TRA08b",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Harris Matrix Composer - A New Tool to Manage Archaeological Stratigraphy",
        "date": "2008-11",
        "abstract": "The Harris Matrix - formulated by Dr. Edward C. Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining stratigraphic relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for stratigraphic analysis. \r\nAlthough the Harris Matrix has become a quasi standard of archaeological stratigraphy, only a few software tools exist to create and edit these diagrams. An evaluation of these tools showed that they do not completely comply with the theory or suffer from poor usability. Therefore we decided to develop a new application addressing these issues, called Harris Matrix Composer (HMC). Dr. Harris was involved in the evaluation of early prototypes to guarantee compliance with his theory. User tests were undertaken to discover and handle usability problems.\r\nThe main component of the HMC is a graph editor with an intuitive graphical user interface for creating and editing a Harris Matrix throughout the entire stratigraphic excavation process. Users add graphical symbols that represent stratigraphic units (either deposits or surfaces) and determine their stratigraphic relations by drawing edges between two such symbols. The application supports valid Harris Matrix creation and indicates invalid units and relations. In addition to stratigraphic relations, temporal relations can be added by drawing special edges or grouping units into periods. Phases define structural relations, like posts or postholes of a dwelling. \r\nThe HMC will be developed into a powerful interface to a GIS system, like ArcGIS to access single surface maps and related databases for visualization and stratigraphic analysis by selecting units of the Harris Matrix. In a similar way it will work together with the point cloud editor SCANOPY to filter these vast data sets.\r\nA trial beta version and further information is available at the web site: www.harrismatrixcomposer.com\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "HMC Screenshot",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "TRA08b-image.jpg",
            "type": "image/jpeg",
            "size": 249701,
            "path": "Publication:TRA08b",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            480
        ],
        "address": "Rathaus, Friedrich-Schmidt- Platz 1, 1010 Vienna",
        "booktitle": "Kulturelles Erbe und Neue Technologien âˆ’ Workshop \"Archäologie und Computer\"",
        "date_from": "2008-11-03",
        "date_to": "2008-11-05",
        "editor": "Wolfgang Börner, Susanne Uhlirz",
        "isbn": "978-3-85161-016-1",
        "lecturer": [
            237
        ],
        "location": "Vienna, Austria",
        "note": "http://www.stadtarchaeologie.at/",
        "organization": "Museen der Stadt Wien â€“ Stadtarchäologie",
        "publisher": "Phoibos Verlag",
        "series": "Archäologie und Computer",
        "research_areas": [],
        "keywords": [
            "harris matrix",
            "archaeological stratigraphy",
            "graph theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "HMC Screenshot",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "TRA08b-image.jpg",
                "type": "image/jpeg",
                "size": 249701,
                "path": "Publication:TRA08b",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TRA08b-Paper.pdf",
                "type": "application/pdf",
                "size": 847634,
                "path": "Publication:TRA08b",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/TRA08b-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "LEOPOLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08b/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2008-Steer",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Steering – Rapid Visual Prototyping of a Common Rail Injection System",
        "date": "2008-11",
        "abstract": "Interactive steering with visualization has been a common goal of the visualization research community for twenty years,\r\nbut it is rarely ever realized in practice. In this paper we describe a successful realization of a tightly coupled steering loop, integrating\r\nnew simulation technology and interactive visual analysis in a prototyping environment for automotive industry system design. Due\r\nto increasing pressure on car manufacturers to meet new emission regulations, to improve efficiency, and to reduce noise, both simulation\r\nand visualization are pushed to their limits. Automotive system components, such as the powertrain system or the injection\r\nsystem, have an increasing number of parameters, and new design approaches are required. It is no longer possible to optimize\r\nsuch a system solely based on experience or forward optimization. By coupling interactive visualization with the simulation back-end\r\n(computational steering), it is now possible to quickly prototype a new system, starting from a non-optimized initial prototype and the\r\ncorresponding simulation model. The prototyping continues through the refinement of the simulation model, of the simulation parameters\r\nand through trial-and-error attempts to an optimized solution. The ability to early see the first results from a multidimensional\r\nsimulation space — thousands of simulations are run for a multidimensional variety of input parameters — and to quickly go back\r\ninto the simulation and request more runs in particular parameter regions of interest significantly improves the prototyping process\r\nand provides a deeper understanding of the system behavior. The excellent results which we achieved for the common rail injection\r\nsystem strongly suggest that our approach has a great potential of being generalized to other, similar scenarios.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 434,
            "image_height": 473,
            "name": "Matkovic-2008-Steer-image.jpg",
            "type": "image/jpeg",
            "size": 64694,
            "path": "Publication:Matkovic-2008-Steer",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            581,
            579,
            176
        ],
        "date_from": "2008-10-19",
        "date_to": "2008-10-24",
        "event": "IEEE Vis",
        "journal": "IEEE Transactions on Visualization and Computer Graphics ",
        "lecturer": [
            235
        ],
        "location": "Columbus, Ohio",
        "number": "6",
        "volume": "14",
        "research_areas": [],
        "keywords": [
            "Interactive computational steering",
            "interactive visual analysis",
            "simulation",
            "common rail injection system"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 434,
                "image_height": 473,
                "name": "Matkovic-2008-Steer-image.jpg",
                "type": "image/jpeg",
                "size": 64694,
                "path": "Publication:Matkovic-2008-Steer",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Matkovic-2008-Steer-paper.pdf",
                "type": "application/pdf",
                "size": 4069558,
                "path": "Publication:Matkovic-2008-Steer",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/Matkovic-2008-Steer-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Steer/",
        "__class": "Publication"
    },
    {
        "id": "patel-2008-tsa",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Seismic Analyzer - Interpreting and Illustrating 2D Seismic Data",
        "date": "2008-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1044,
            "image_height": 531,
            "name": "patel-2008-tsa-image.jpg",
            "type": "image/jpeg",
            "size": 307160,
            "path": "Publication:patel-2008-tsa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            668,
            669,
            727,
            166
        ],
        "date_from": "2008-10-19",
        "date_to": "2008-10-24",
        "event": "IEEE Visualization conference",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "lecturer": [
            616
        ],
        "location": "Columbus, USA",
        "number": "6",
        "pages_from": "1571",
        "pages_to": "1578",
        "volume": "14",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Film clip",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 564,
                "name": "patel-2008-tsa-Film clip.avi",
                "type": "video/x-msvideo",
                "size": 17398734,
                "path": "Publication:patel-2008-tsa",
                "preview_name": "patel-2008-tsa-Film clip:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 31165,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-Film clip.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-Film clip:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-Film clip:video.mp4"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1044,
                "image_height": 531,
                "name": "patel-2008-tsa-image.jpg",
                "type": "image/jpeg",
                "size": 307160,
                "path": "Publication:patel-2008-tsa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "patel-2008-tsa-paper.pdf",
                "type": "application/pdf",
                "size": 21535845,
                "path": "Publication:patel-2008-tsa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/patel-2008-tsa-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/patel-2008-tsa/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2008-vis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Myocardial Perfusion Derived from Coronary Anatomy",
        "date": "2008-10",
        "abstract": "Visually assessing the effect of the coronary artery anatomy on the perfusion of the heart muscle in patients with coronary artery disease remains a challenging task. We explore the feasibility of visualizing this effect on perfusion using a numerical approach. We perform a computational simulation of the way blood is perfused throughout the myocardium purely based on information from a three-dimensional anatomical tomographic scan. The results are subsequently visualized using both three-dimensional visualizations and bull's eye plots, partially inspired by approaches currently common in medical practice. Our approach results in a comprehensive visualization of the coronary anatomy that compares well to visualizations commonly used for other scanning technologies. We demonstrate techniques giving detailed insight in blood supply, coronary territories and feeding coronary arteries of a selected region. We demonstrate the advantages of our approach through visualizations that show information which commonly cannot be directly observed in scanning data, such as a separate visualization of the supply from each coronary artery. We thus show that the results of a computational simulation can be effectively visualized and facilitate visually correlating these results to for example perfusion data. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1026,
            "image_height": 947,
            "name": "termeer-2008-vis-image.png",
            "type": "image/png",
            "size": 641384,
            "path": "Publication:termeer-2008-vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606,
            647,
            679,
            459,
            575,
            166,
            746
        ],
        "date_from": "2008-10-19",
        "date_to": "2008-10-24",
        "event": "IEEE Visualization 2008",
        "issn": "1077-2626",
        "journal": "TVCG",
        "lecturer": [
            606
        ],
        "location": "Columbus, USA",
        "number": "6",
        "pages_from": "1595",
        "pages_to": "1602",
        "volume": "14",
        "research_areas": [],
        "keywords": [
            "myocardial perfusion",
            "coronary artery territories",
            "cardiac visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1026,
                "image_height": 947,
                "name": "termeer-2008-vis-image.png",
                "type": "image/png",
                "size": 641384,
                "path": "Publication:termeer-2008-vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2008-vis-paper.pdf",
                "type": "application/pdf",
                "size": 4436801,
                "path": "Publication:termeer-2008-vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 624,
                "name": "termeer-2008-vis-video.avi",
                "type": "video/x-msvideo",
                "size": 21174952,
                "path": "Publication:termeer-2008-vis",
                "preview_name": "termeer-2008-vis-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 24157,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/termeer-2008-vis-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-vis/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-2008-sam",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Statistical Analysis of Multi-Material Components using Dual Energy CT",
        "date": "2008-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 397,
            "image_height": 188,
            "name": "heinzl-2008-sam-image.jpg",
            "type": "image/jpeg",
            "size": 31677,
            "path": "Publication:heinzl-2008-sam",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            613,
            196,
            166
        ],
        "booktitle": "VMV 2008, Vision, Modeling and Visualization",
        "date_from": "2008-10-08",
        "date_to": "2008-10-10",
        "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe",
        "isbn": "978-3-89838-609-8",
        "lecturer": [
            611
        ],
        "location": "Konstanz, Deutschland",
        "pages_from": "179",
        "pages_to": "188",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 397,
                "image_height": 188,
                "name": "heinzl-2008-sam-image.jpg",
                "type": "image/jpeg",
                "size": 31677,
                "path": "Publication:heinzl-2008-sam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "heinzl-2008-sam-paper.pdf",
                "type": "application/pdf",
                "size": 1195541,
                "path": "Publication:heinzl-2008-sam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/heinzl-2008-sam-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/heinzl-2008-sam/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2008-hyp",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hypothesis Generation in Climate Research with Interactive Visual Data Exploration",
        "date": "2008-10",
        "abstract": "One of the most prominent topics in climate research is the investigation, detection, and allocation of climate change. In this paper, we aim at identifying regions in the atmosphere (e.g., certain height layers) which can act as sensitive and robust indicators for climate change. We demonstrate how interactive visual data exploration of large amounts of multi-variate and time-dependent climate data enables the steered generation of promising hypotheses for subsequent statistical evaluation. The use of new visualization and interaction technology -- in the context of a coordinated multiple views framework -- allows not only to identify these promising hypotheses, but also to efficiently narrow down parameters that are required in the process of computational data analysis. Two datasets, namely an ECHAM5 climate model run and the ERA-40 reanalysis incorporating observational data, are investigated. Higher-order information such as linear trends or signal-to-noise ratio is derived and interactively explored in order to detect and explore those regions which react most sensitively to climate change. As one conclusion from this study, we identify an excellent potential for usefully generalizing our approach to other, similar application cases, as well.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 976,
            "image_height": 729,
            "name": "Kehrer-2008-hyp-image.jpg",
            "type": "image/jpeg",
            "size": 160711,
            "path": "Publication:Kehrer-2008-hyp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983,
            1076,
            662,
            212,
            1077,
            176
        ],
        "event": "IEEE Visualization 2008",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            983
        ],
        "location": "Columbus, Ohio, USA",
        "number": "6",
        "pages_from": "1579",
        "pages_to": "1586",
        "volume": "14",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1109/TVCG.2008.139",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2008-hyp-Draft.pdf",
                "type": "application/pdf",
                "size": 3171401,
                "path": "Publication:Kehrer-2008-hyp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-Draft:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 976,
                "image_height": 729,
                "name": "Kehrer-2008-hyp-image.jpg",
                "type": "image/jpeg",
                "size": 160711,
                "path": "Publication:Kehrer-2008-hyp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2008-hyp-Slides.pdf",
                "type": "application/pdf",
                "size": 1010433,
                "path": "Publication:Kehrer-2008-hyp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-Slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/Kehrer-2008-hyp-Slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kehrer-2008-hyp/",
        "__class": "Publication"
    },
    {
        "id": "ammer-2008-lst",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Linking Science Together: How Networking Can Support Research – a Peer-to-Peer Approach",
        "date": "2008-10",
        "abstract": "Since no development or invention just appears out of nowhere, the search for\r\nformer and related work is an important part of the whole research process. During\r\nthis part of the research \u0015 by \u001cnding, \u001cltering and connecting the knowledge\r\nfound in publications of other researchers \u0015 insight in a research area is acquired.\r\nThis insight, if represented and stored in an appropriate way, can be seen as\r\nnew generated knowledge and could be reused by other researchers as well.\r\nThis work therefore proposes a system of interlinked nodes, in which nodes,\r\nattributes, links and groupings can be shared over a peer-to-peer network. This\r\nallows researchers to store and share their publications, as well as the knowledge\r\nthey have gained during their research by attributing, linking and grouping the\r\npublications useful to other researchers in a similar area.\r\nLinkVis, the system I propose, uses methods from the \u001celd of visualization\r\nand peer-to-peer networking to provide a platform, which is not only capable of\r\nvisualizing and sharing this research knowledge, but also any other data, which\r\ncan be modeled as a network of interlinked nodes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1645,
            "image_height": 1250,
            "name": "ammer-2008-lst-image.jpg",
            "type": "image/jpeg",
            "size": 1295851,
            "path": "Publication:ammer-2008-lst",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            748
        ],
        "supervisor": [
            166,
            672
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1645,
                "image_height": 1250,
                "name": "ammer-2008-lst-image.jpg",
                "type": "image/jpeg",
                "size": 1295851,
                "path": "Publication:ammer-2008-lst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ammer-2008-lst-paper.pdf",
                "type": "application/pdf",
                "size": 12293182,
                "path": "Publication:ammer-2008-lst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/ammer-2008-lst-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ammer-2008-lst/",
        "__class": "Publication"
    },
    {
        "id": "balabanian-2008-hvv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hierarchical Volume Visualization of Brain Anatomy",
        "date": "2008-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 508,
            "image_height": 498,
            "name": "balabanian-2008-hvv-image.jpg",
            "type": "image/jpeg",
            "size": 133084,
            "path": "Publication:balabanian-2008-hvv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673,
            749,
            171,
            750,
            176,
            166
        ],
        "booktitle": "VMV 2008, Vision, Modeling and Visualization",
        "date_from": "2008-10-08",
        "date_to": "2008-10-10",
        "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe",
        "isbn": "978-3-89838-609-8",
        "lecturer": [
            673
        ],
        "location": "Konstanz, Deutschland",
        "pages_from": "313",
        "pages_to": "322",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 508,
                "image_height": 498,
                "name": "balabanian-2008-hvv-image.jpg",
                "type": "image/jpeg",
                "size": 133084,
                "path": "Publication:balabanian-2008-hvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "balabanian-2008-hvv-paper.pdf",
                "type": "application/pdf",
                "size": 8581321,
                "path": "Publication:balabanian-2008-hvv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/balabanian-2008-hvv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-hvv/",
        "__class": "Publication"
    },
    {
        "id": "TRA08",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Harris Matrix Composer - A New Tool to Manage Archaeological Stratigraphy",
        "date": "2008-10",
        "abstract": "The Harris Matrix - formulated by Dr. Edward C. Harris in 1973 - is the established way of representing the archaeological stratigraphy of an excavation. The Harris Matrix is a sequential diagram defining relations between stratigraphic units. It is an important method to document the stratification that is destroyed by the excavation process and hence a vital tool for analysis. Although the Harris Matrix has become a quasi standard of archaeological stratigraphy, only a few software tools exist to create and edit these diagrams. An evaluation of these tools showed that they do not completely comply with the theory or suffer from poor usability. Therefore we decided to develop a new application, called Harris Matrix Composer (HMC). Dr. Harris was involved in the evaluation of early prototypes to guarantee compliance with his theory. User tests were undertaken to address usability problems. The HMC provides a graph editor with an intuitive graphical user interface for editing a Harris Matrix throughout the entire excavation process. It supports valid Harris Matrix creation and indicates invalid units and relations. The theory has been extended to allow for temporal relations as well. Furthermore units can be grouped into structural entities called phases and into periods, assigning them to a historical epoch. A powerful interface to the GIS system ArcGIS will be developed to access layers for visualization and analysis by selecting units of the Harris Matrix. In this way the HMC becomes also a unique tool for the management and retrieval of digital archaeological data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "HMC Screenshot",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1200,
            "image_height": 900,
            "name": "TRA08-image.jpg",
            "type": "image/jpeg",
            "size": 573371,
            "path": "Publication:TRA08",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            480
        ],
        "booktitle": "Digital Heritage, Proceedings of the 14th International Conference on Virtual Systems and Multimedia",
        "date_from": "2008-10-20",
        "date_to": "2008-10-25",
        "editor": "M. Ioannides, A. Addison, A. Georgopoulos, L. Kalisperis",
        "isbn": "978-963-9911-00-0",
        "lecturer": [
            237
        ],
        "location": "Limassol, Cyprus",
        "organization": "VSMM Commitee",
        "pages_from": "13",
        "pages_to": "20",
        "research_areas": [],
        "keywords": [
            "Harris Matrix",
            "Excavation Management and Analysis",
            "Archaeological Stratigraphy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "HMC Screenshot",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1200,
                "image_height": 900,
                "name": "TRA08-image.jpg",
                "type": "image/jpeg",
                "size": 573371,
                "path": "Publication:TRA08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TRA08-paper.pdf",
                "type": "application/pdf",
                "size": 2021099,
                "path": "Publication:TRA08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/TRA08-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "LEOPOLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TRA08/",
        "__class": "Publication"
    },
    {
        "id": "fuchs-2008-del",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Delocalized Unsteady Vortex Region Detectors",
        "date": "2008-10",
        "abstract": "In this paper we discuss generalizations of instantaneous, local vortex criteria.\r\nWe incorporate information on spatial context and temporal development into the\r\ndetection process. The presented method is generic in so far that it can extend\r\nany given Eulerian criterion to take the Lagrangian approach into account. Furthermore,\r\nwe present a visual aid to understand and steer the feature extraction process.\r\nWe show that the delocalized detectors are able to distinguish between connected vortices\r\nand help understanding regions of multiple interacting vortex structures.\r\nThe delocalized detectors extract smoother structures and reduce noise in the vortex detection result.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "We compare the resulting features for the standard lambda2 and the delocalized lambda2 criterion.",
            "filetitle": "delocalized",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1705,
            "image_height": 1405,
            "name": "fuchs-2008-del-delocalized.jpg",
            "type": "image/jpeg",
            "size": 327185,
            "path": "Publication:fuchs-2008-del",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672,
            695,
            696,
            734,
            166
        ],
        "booktitle": "Proceedings VMV 2008",
        "date_from": "2008-10-08",
        "date_to": "2008-10-10",
        "editor": "Oliver Deussen, Daniel Keim, Dietmar Saupe",
        "isbn": "978-3-89838-609-8",
        "lecturer": [
            696
        ],
        "location": "Konstanz, Deutschland",
        "pages_from": "81",
        "pages_to": "90",
        "research_areas": [],
        "keywords": [
            "anisotropic filtering",
            "vortex detection",
            "interactive visual analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "We compare the resulting features for the standard lambda2 and the delocalized lambda2 criterion.",
                "filetitle": "delocalized",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1705,
                "image_height": 1405,
                "name": "fuchs-2008-del-delocalized.jpg",
                "type": "image/jpeg",
                "size": 327185,
                "path": "Publication:fuchs-2008-del",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-delocalized:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs-2008-del-Paper.pdf",
                "type": "application/pdf",
                "size": 2802166,
                "path": "Publication:fuchs-2008-del",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/fuchs-2008-del-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-2008-del/",
        "__class": "Publication"
    },
    {
        "id": "fuchs-vortex",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Visible Vortex - Interactive Analysis and Extraction of Vortices in Large Time-Dependent Flow Data Sets",
        "date": "2008-10",
        "abstract": "Computational simulation of physical and chemical processes has become an essential tool to tackle questions from the field of fluid dynamics.\nUsing current simulation packages it is possible to compute unsteady flow simulations for\nrealistic scenarios. The resulting solutions are stored in large to very large grids in 2D or 3D,\nfrequently time-dependent, with multi-variate results from the numeric simulation.\nWith increasing complexity of simulation results,\npowerful analysis and visualization tools are needed to make sense of the computed information and answer\nthe question at hand. To do this we need new approaches and algorithms to locate regions of\ninterest, find important structures in the flow and analyze the behavior of the\nflow interactively.\n\nThe main motives of this thesis are the extension of vortex detection criteria to unsteady flow and\nthe combination of vortex detectors with interactive visual analysis.\nTo develop an understanding for the simulation results it is necessary to\ncompare attributes of the simulation to each other and to be able to\nrelate them to larger structures such as vortices. It is shown how automatic feature detection algorithms can be combined with interactive analysis techniques such that both detection and analysis benefit.\n\nBy extending and integrating vortex detectors into the process of visual analysis, it becomes possible\nto understand the impact of vortex structures on the development of\nthe flow. Using real-world examples from the field of engine design we discuss how vortex structures\ncan have critical impact on the performance of a prototype. We illustrate how interactive visual analysis\ncan support prototype design and evaluation.\nFurthermore, we show that taking the unsteady nature of the flow into account improves the quality of the extracted structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "We illustrate some of the extensions to vortex region analysis discussed throughout this thesis. (1) We start with binary vortex detectors. It is hard to understand where the structures originate and how they are related  to the geometry. (2) Using non-binary vortex detectors we can select only the parts of the volume that  contain relevant structures. (3) By combining multiple criteria it is possible to refine the selection further and it becomes obvious that the gaskets between cylinder head and body are of critical importance. (4) Using delocalization we can further refine the selection and remove noise from the results.",
            "filetitle": "Figure1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1284,
            "image_height": 1271,
            "name": "fuchs-vortex-Figure1.png",
            "type": "image/png",
            "size": 1216763,
            "path": "Publication:fuchs-vortex",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672
        ],
        "co_supervisor": [
            695
        ],
        "date_end": "2008-10",
        "date_start": "2006-06",
        "rigorosum": "2008-10-09",
        "supervisor": [
            176
        ],
        "research_areas": [],
        "keywords": [
            "Interactive Visual Analysis",
            "Vortex Detection",
            "Scientific Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "We illustrate some of the extensions to vortex region analysis discussed throughout this thesis. (1) We start with binary vortex detectors. It is hard to understand where the structures originate and how they are related  to the geometry. (2) Using non-binary vortex detectors we can select only the parts of the volume that  contain relevant structures. (3) By combining multiple criteria it is possible to refine the selection further and it becomes obvious that the gaskets between cylinder head and body are of critical importance. (4) Using delocalization we can further refine the selection and remove noise from the results.",
                "filetitle": "Figure1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1284,
                "image_height": 1271,
                "name": "fuchs-vortex-Figure1.png",
                "type": "image/png",
                "size": 1216763,
                "path": "Publication:fuchs-vortex",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-Figure1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs-vortex-thesis.pdf",
                "type": "application/pdf",
                "size": 28629831,
                "path": "Publication:fuchs-vortex",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/fuchs-vortex-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs-vortex/",
        "__class": "Publication"
    },
    {
        "id": "guerrero-2008-sli",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Indirect Illumination and Soft Shadows in Dynamic Scenes Using Spherical Lights",
        "date": "2008-10",
        "abstract": "We present a method for rendering approximate soft shadows and diffuse indirect illumination in dynamic scenes.\nThe proposed method approximates the original scene geometry with a set of tightly fitting spheres. In previous\nwork, such spheres have been used to dynamically evaluate the visibility function to render soft shadows. In this\npaper, each sphere also acts as a low-frequency secondary light source, thereby providing diffuse one-bounce\nindirect illumination. The method is completely dynamic and proceeds in two passes: In a first pass, the light\nintensity distribution on each sphere is updated based on sample points on the corresponding object surface and\nconverted into the spherical harmonics basis. In a second pass, this radiance information and the visibility are\naccumulated to shade final image pixels. The sphere approximation allows us to compute visibility and diffuse\nreflections of an object at interactive frame rates of over 20 fps for moderately complex scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "guerrero-2008-sli-.jpg",
            "type": "image/jpeg",
            "size": 135362,
            "path": "Publication:guerrero-2008-sli",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627,
            356,
            193
        ],
        "journal": "Computer Graphics Forum",
        "number": "8",
        "pages_from": "2154",
        "pages_to": "2168",
        "volume": "27",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "global illumination",
            "precomputed radiance transfer",
            "soft shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "guerrero-2008-sli-.jpg",
                "type": "image/jpeg",
                "size": 135362,
                "path": "Publication:guerrero-2008-sli",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-:thumb{{size}}.png"
            },
            {
                "description": "Pre-print of the full journal paper.",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "guerrero-2008-sli-paper.pdf",
                "type": "application/pdf",
                "size": 17256545,
                "path": "Publication:guerrero-2008-sli",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-paper:thumb{{size}}.png"
            },
            {
                "description": "Short video demonstration of our method.",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "guerrero-2008-sli-video.avi",
                "type": "video/x-msvideo",
                "size": 34756110,
                "path": "Publication:guerrero-2008-sli",
                "preview_name": "guerrero-2008-sli-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 20460,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/guerrero-2008-sli-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/guerrero-2008-sli/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2008-vcbm",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information-based Transfer Functions for Multimodal Visualization",
        "date": "2008-10",
        "abstract": "Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values\r\nexist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for\r\neach sample point. To find a good transfer function for this high number of parameters is challenging because of\r\nthe complexity of this task. In this paper we present a general information-based approach for transfer function\r\ndesign in multimodal visualization which is independent of the used modality types. Based on information theory,\r\nthe complex multi-dimensional transfer function space is fused to allow utilization of a well-known 2D transfer\r\nfunction with a single value and gradient magnitude as parameters. Additionally, a quantity is introduced which\r\nenables better separation of regions with complementary information. The benefit of the new method in contrast to\r\nother techniques is a transfer function space which is easy to understand and which provides a better separation\r\nof different tissues. The usability of the new approach is shown on examples of different modalities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Multimodal Visualization of CT and MRI",
            "filetitle": "CT-MRI",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1446,
            "image_height": 1446,
            "name": "haidacher-2008-vcbm-CT-MRI.jpg",
            "type": "image/jpeg",
            "size": 2466928,
            "path": "Publication:haidacher-2008-vcbm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597,
            161,
            162,
            166
        ],
        "booktitle": "VCBM ",
        "editor": "C.P Botha, G. Kindlmann, W.J. Niessen, and B. Preim",
        "isbn": "978-3-905674-13-2",
        "issn": "2070-5778",
        "lecturer": [
            597
        ],
        "location": "Delft",
        "pages_from": "101",
        "pages_to": "108",
        "publisher": "Eurographics Association",
        "research_areas": [],
        "keywords": [
            "Multimodal Visualization",
            "Transfer Function",
            "Information Theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Multimodal Visualization of CT and MRI",
                "filetitle": "CT-MRI",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1446,
                "image_height": 1446,
                "name": "haidacher-2008-vcbm-CT-MRI.jpg",
                "type": "image/jpeg",
                "size": 2466928,
                "path": "Publication:haidacher-2008-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-MRI:thumb{{size}}.png"
            },
            {
                "description": "Multimodal Visualization of Neck Tumor",
                "filetitle": "CT-PET",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1444,
                "image_height": 1167,
                "name": "haidacher-2008-vcbm-CT-PET.jpg",
                "type": "image/jpeg",
                "size": 1722886,
                "path": "Publication:haidacher-2008-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-PET.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-CT-PET:thumb{{size}}.png"
            },
            {
                "description": "Publication from VCBM 2008",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2008-vcbm-Paper.pdf",
                "type": "application/pdf",
                "size": 11949177,
                "path": "Publication:haidacher-2008-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Paper:thumb{{size}}.png"
            },
            {
                "description": "Slides of Presentation at VCBM",
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2008-vcbm-Presentation.pptx",
                "type": "application/x-zip",
                "size": 32101483,
                "path": "Publication:haidacher-2008-vcbm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/haidacher-2008-vcbm-Presentation.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/haidacher-2008-vcbm/",
        "__class": "Publication"
    },
    {
        "id": "hartl-2008-vcd",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Calendar Data",
        "date": "2008-10",
        "abstract": "Since many centuries, calendars are used to organize appointments, events and tasks.\r\nIn this thesis interaction and visualization techniques for calendar data are presented,\r\nwhich do not only support the organization and analysis, but also facilitate and improve\r\nthem. The basis of the solution is a 3D heightfield visualization, which displays\r\nthe workloads of time slots over periods of time in a compact manner. Thereon, interaction\r\nand visualization techniques are used to investigate the data set for regularities\r\nand irregularities. The comparison of data sets while planning events is just as important\r\nas the integration of fuzzy tasks into one’s schedule and their manipulation.\r\nThe visualization and exploration process is completed by statistical representations\r\nshowing trends and patterns. The use of these techniques and the combination of\r\nthem are presented with the help of real examples.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 974,
            "image_height": 977,
            "name": "hartl-2008-vcd-image.jpg",
            "type": "image/jpeg",
            "size": 241616,
            "path": "Publication:hartl-2008-vcd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            619
        ],
        "diploma_examina": "2008-10-27",
        "supervisor": [
            166,
            179
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Diplimarbeits Endvortrag",
                "filetitle": "DAEV",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hartl-2008-vcd-DAEV.pdf",
                "type": "application/pdf",
                "size": 651439,
                "path": "Publication:hartl-2008-vcd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-DAEV.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-DAEV:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 974,
                "image_height": 977,
                "name": "hartl-2008-vcd-image.jpg",
                "type": "image/jpeg",
                "size": 241616,
                "path": "Publication:hartl-2008-vcd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hartl-2008-vcd-poster.pdf",
                "type": "application/pdf",
                "size": 56140734,
                "path": "Publication:hartl-2008-vcd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-poster:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hartl-2008-vcd-Thesis.pdf",
                "type": "application/pdf",
                "size": 6727226,
                "path": "Publication:hartl-2008-vcd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-Thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "vcd-paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hartl-2008-vcd-vcd-paper.pdf",
                "type": "application/pdf",
                "size": 6681877,
                "path": "Publication:hartl-2008-vcd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-vcd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-vcd-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 564,
                "name": "hartl-2008-vcd-video.avi",
                "type": "video/x-msvideo",
                "size": 30114566,
                "path": "Publication:hartl-2008-vcd",
                "preview_name": "hartl-2008-vcd-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 57514,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/hartl-2008-vcd-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/hartl-2008-vcd/",
        "__class": "Publication"
    },
    {
        "id": "gavrilescu-2008-vsc",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of  Segmented Cine Data ",
        "date": "2008-09",
        "abstract": "This paper and its accompanying application address several methods for visualizing previously segmented Magnetic Resonance Imaging (MRI) heart data. Several parameters are computed from this data, which are then represented in a properly constructed 3D environment. \r\nThe heart data is structured into a series of datasets, each corresponding to a phase in the time-span of a heartbeat, and each consisting of several slices through the cross-section of the heart. These datasets are segmented semi-automatically, to outline the inner and outer layers of the myocardium (the endocardium and the epicardium, respectively), and the resulting contours are then used to construct a 3D mesh which closely approximate the walls of the myocardium. Five parameters are then derived from the data, namely wall thickness, wall thickening, motion speed, distance from the center and moment of maximum thickness. The values of these parameters are represented comparatively on the surface of the previously constructed mesh, though use of color or graphical noise, rendering visible any anomalies which might indicate possible problems with the proper functioning of the heart.\r\nOne of the focal issues is the visualization of two or more parameters concurrently, on the same surface, in real-time, without visually overloading the representation. This is achieved through various techniques such as the use of noise textures, a lens tool, or fading in-out between two different parameters.\r\nData containing a number of distinct stress levels is also visualized. In addition to the previous techniques, it is possible to represent parameters for all stress levels on a single mesh, through the use of “stress bands”. Moreover, the mesh be clipped above a desired stress band, thus viewing the parameter in relation to the motion of the heart.  \r\nThese means of visually characterizing the behavior of the heart in motion, specifically, the left ventricle, yield satisfactory results, making it possible to detect anomalies and dyssynchronies among the various regions of the myocardium, which are typically indicators of heart-related disease. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 288,
            "image_height": 276,
            "name": "gavrilescu-2008-vsc-image.jpg",
            "type": "image/jpeg",
            "size": 55524,
            "path": "Publication:gavrilescu-2008-vsc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            737
        ],
        "diploma_examina": "2008-09",
        "supervisor": [
            850,
            166,
            606
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 288,
                "image_height": 276,
                "name": "gavrilescu-2008-vsc-image.jpg",
                "type": "image/jpeg",
                "size": 55524,
                "path": "Publication:gavrilescu-2008-vsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gavrilescu-2008-vsc-paper.pdf",
                "type": "application/pdf",
                "size": 1044751,
                "path": "Publication:gavrilescu-2008-vsc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/gavrilescu-2008-vsc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/gavrilescu-2008-vsc/",
        "__class": "Publication"
    },
    {
        "id": "ILCIK-phdthesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "unknown",
        "date": "2008-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303
        ],
        "date_start": "2008-09",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ILCIK-phdthesis/",
        "__class": "Publication"
    },
    {
        "id": "suntinger-2008-etet",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Event Tunnel: Exploring Event-Driven Business Processes",
        "date": "2008-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 449,
            "image_height": 290,
            "name": "suntinger-2008-etet-image.jpg",
            "type": "image/jpeg",
            "size": 62002,
            "path": "Publication:suntinger-2008-etet",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            665,
            666,
            667,
            166
        ],
        "issn": "0272-1716",
        "journal": "IEEE Computer Graphics and Applications",
        "number": "5",
        "pages_from": "46",
        "pages_to": "55",
        "volume": "28",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 449,
                "image_height": 290,
                "name": "suntinger-2008-etet-image.jpg",
                "type": "image/jpeg",
                "size": 62002,
                "path": "Publication:suntinger-2008-etet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "suntinger-2008-etet-paper.pdf",
                "type": "application/pdf",
                "size": 3864934,
                "path": "Publication:suntinger-2008-etet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/suntinger-2008-etet-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-etet/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-09",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pixel Accurate Shadows with Shadow Mapping",
        "date": "2008-09",
        "abstract": "High quality shadows generated by shadow mapping is still an\nextensive problem in realtime rendering. This work summarizes\nsome state-of-the-art techniques to achieve pixel accurate shadows\nand points out the various problems of generating artifact free\nshadows. Further a demo application has been implemented to\ncompare the different techniques and experiment with alternative\napproaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "pplant",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1280,
            "image_height": 1024,
            "name": "TR-186-2-08-09-pplant.png",
            "type": "image/png",
            "size": 1240215,
            "path": "Publication:TR-186-2-08-09",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-pplant.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-pplant:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659
        ],
        "number": "TR-186-2-08-09",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Shadow Mapping",
            "Deferred shading",
            "Pixel Accurate Shadows",
            "Real time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "http://stud4.tuwien.ac.at/~e0525392/shadow/shadow.html",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-09-paper.pdf",
                "type": "application/pdf",
                "size": 5631966,
                "path": "Publication:TR-186-2-08-09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "pplant",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1280,
                "image_height": 1024,
                "name": "TR-186-2-08-09-pplant.png",
                "type": "image/png",
                "size": 1240215,
                "path": "Publication:TR-186-2-08-09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-pplant.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/TR-186-2-08-09-pplant:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-09/",
        "__class": "Publication"
    },
    {
        "id": "Kim-2008_FWIP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Finger Walking in Place (FWIP): a Traveling Technique in Virtual Environments",
        "date": "2008-08",
        "abstract": "In this paper we present a Finger Walking in Place (FWIP)\r\ninteraction technique that allows a user to travel in a virtual world as\r\nher/his bare ¯ngers slide on a multi-touch sensitive surface. Traveling is\r\nbasically realized by translating and rotating the user's viewpoint in the\r\nvirtual world. The user can translate and rotate a viewpoint by mov-\r\ning her/his ¯ngers in place. Currently, our FWIP technique can be used\r\nto navigate in a plane but it can be extended to navigate in the third\r\naxis, so that the user can move to any direction in a 3D virtual world.\r\nSince our FWIP technique only uses bare ¯ngers and a multi-touch de-\r\nvice, ¯nger motions are not precisely detected, especially compared with\r\nthe use of data gloves or similar sensing devices. However, our experi-\r\nments show that FWIP can be used as a novel traveling technique even\r\nwithout accurate motion detection. Our experiment tasks include ¯nding\r\nand reaching the target(s) with FWIP, and the participants successfully\r\ncompleted the tasks. The experiments illustrate our e®orts to make the\r\nFWIP technique robust as a scaled-down walking-in-place locomotion\r\ntechnique, so that it can be used as a reliable traveling technique.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 270,
            "image_height": 135,
            "name": "Kim-2008_FWIP-.jpg",
            "type": "image/jpeg",
            "size": 11617,
            "path": "Publication:Kim-2008_FWIP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            624,
            581,
            235,
            759
        ],
        "booktitle": "Proceedings of SmartGraphics 2008, Springer LNCS  5166/2008",
        "isbn": "978-3-540-85410-4",
        "issn": "0302-9743 (Print) 1611-3349 (Online)",
        "lecturer": [
            235
        ],
        "location": "Rennes, France",
        "publisher": "Springer",
        "series": "LNCS",
        "research_areas": [],
        "keywords": [
            "Virtual environments",
            "Finger-walking",
            "Navigation",
            "Traveling techniques",
            "Multi-touch device"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 270,
                "image_height": 135,
                "name": "Kim-2008_FWIP-.jpg",
                "type": "image/jpeg",
                "size": 11617,
                "path": "Publication:Kim-2008_FWIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kim-2008_FWIP-paper.pdf",
                "type": "application/pdf",
                "size": 640018,
                "path": "Publication:Kim-2008_FWIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/Kim-2008_FWIP-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kim-2008_FWIP/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2008-IEV",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Editing of Grammars for Procedural Architecture",
        "date": "2008-08",
        "abstract": "We introduce a real-time interactive visual editing paradigm for\nshape grammars, allowing the creation of rulebases from scratch\nwithout text file editing. In previous work, shape-grammar based\nprocedural techniques were successfully applied to the creation of\narchitectural models. However, those methods are text based, and\nmay therefore be difficult to use for artists with little computer science\nbackground. Therefore the goal was to enable a visual workflow\ncombining the power of shape grammars with traditional modeling\ntechniques. We extend previous shape grammar approaches\nby providing direct and persistent local control over the generated\ninstances, avoiding the combinatorial explosion of grammar rules\nfor modifications that should not affect all instances. The resulting\nvisual editor is flexible: All elements of a complex state-of-the-art\ngrammar can be created and modified visually.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 553,
            "image_height": 628,
            "name": "LIPP-2008-IEV-.jpg",
            "type": "image/jpeg",
            "size": 75689,
            "path": "Publication:LIPP-2008-IEV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680,
            194,
            193
        ],
        "date_from": "2008-08-11",
        "date_to": "2008-08-15",
        "doi": "10.1145/1360612.1360701",
        "event": "ACM SIGGRAPH 2008",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            680
        ],
        "location": "Los Angeles, CA",
        "note": "Article No. 102",
        "number": "3",
        "pages_from": "102:1",
        "pages_to": "10",
        "volume": "27",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "procedural modeling",
            "shape grammars",
            "architectural modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 553,
                "image_height": 628,
                "name": "LIPP-2008-IEV-.jpg",
                "type": "image/jpeg",
                "size": 75689,
                "path": "Publication:LIPP-2008-IEV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LIPP-2008-IEV-paper.pdf",
                "type": "application/pdf",
                "size": 4367611,
                "path": "Publication:LIPP-2008-IEV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-paper:thumb{{size}}.png"
            },
            {
                "description": "Supplemental Video",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 960,
                "preview_image_height": 720,
                "name": "LIPP-2008-IEV-video.avi",
                "type": "video/x-msvideo",
                "size": 50682588,
                "path": "Publication:LIPP-2008-IEV",
                "preview_name": "LIPP-2008-IEV-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 27804,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/LIPP-2008-IEV-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/LIPP-2008-IEV/",
        "__class": "Publication"
    },
    {
        "id": "SUNDSTEDT-2008-ASF",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Psychophysical Study of Fixation Behavior in a Computer Game",
        "date": "2008-08",
        "abstract": "Prediction of gaze behavior in gaming environments can be a tremendously useful asset to game designers, enabling them to improve gameplay, selectively increase visual fidelity, and optimize the distribution of computing resources. The use of saliency maps is currently being advocated as the method of choice for predicting visual attention, crucially under the assumption that no specific task is present. This is achieved by analyzing images for low-level features such as motion, contrast, luminance, etc. However, the majority of computer games are designed to be easily understood and pose a task readily apparent to most players. Our psychophysical experiment shows that in a task-oriented context such as gaming, the predictive power of saliency maps at design time can be weak. Thus, we argue that a more involved protocol utilizing eye tracking, as part of the computer game design cycle, can be sufficiently robust to succeed in predicting fixation behavior of players.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1450,
            "image_height": 536,
            "name": "SUNDSTEDT-2008-ASF-thumbnail.png",
            "type": "image/png",
            "size": 374956,
            "path": "Publication:SUNDSTEDT-2008-ASF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            730,
            731,
            193,
            732
        ],
        "booktitle": "ACM Symposium on Applied Perception in Graphics and Visualization 2008",
        "date_from": "2008-08-09",
        "date_to": "2008-08-10",
        "doi": "10.1145/1394281.1394288",
        "editor": "Sarah Creem-Regehr and Karol Myszkowski",
        "isbn": "978-1-59593-981-4",
        "lecturer": [
            730
        ],
        "location": "Los Angeles, California",
        "pages_from": "43",
        "pages_to": "50",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [
            "saliency",
            "eye tracking",
            "electronic games",
            "visual attention",
            "psychophysics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SUNDSTEDT-2008-ASF-draft.pdf",
                "type": "application/pdf",
                "size": 5044193,
                "path": "Publication:SUNDSTEDT-2008-ASF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1450,
                "image_height": 536,
                "name": "SUNDSTEDT-2008-ASF-thumbnail.png",
                "type": "image/png",
                "size": 374956,
                "path": "Publication:SUNDSTEDT-2008-ASF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/SUNDSTEDT-2008-ASF-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SUNDSTEDT-2008-ASF/",
        "__class": "Publication"
    },
    {
        "id": "vucini_2008_rnp",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Reconstruction from Non-uniform Point Sets",
        "date": "2008-07",
        "abstract": "We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in the functional approximation of 3D data. We adopt a variational approach for the reconstruction and rendering of 3D data. The principle idea is based on data fitting via thin-plate splines. An approximation by B-splines offers more compact support for fast reconstruction. We adopt this method for large datasets by introducing a block-based reconstruction approach. This makes the method practical for large data sets. Our reconstruction will be smooth across blocks. We give reconstruction measurements as error estimations based on different parameter settings and also an insight on the computational effort. We show that the block size used in reconstruction has a negligible effect on the reconstruction error. Finally we show rendering results to emphasize the quality of this 3D reconstruction technique.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 827,
            "image_height": 556,
            "name": "vucini_2008_rnp-image.jpg",
            "type": "image/jpeg",
            "size": 68696,
            "path": "Publication:vucini_2008_rnp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            196,
            166
        ],
        "date_from": "2008-06-09",
        "date_to": "2008-06-11",
        "event": "Computer Graphics International 2008",
        "issn": "0178-2789 (Print) 1432-2315 (Online)",
        "journal": "The Visual Computer",
        "lecturer": [
            636
        ],
        "location": "Istanbul, Turkey",
        "note": "http://www.springerlink.com/content/r8578865643x0061/",
        "number": "7-9",
        "pages_from": "555",
        "pages_to": "563",
        "volume": "24",
        "research_areas": [],
        "keywords": [
            "3D Object Modeling",
            "Non-uniform Reconstruction",
            "Variational Approximation",
            "B-splines"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 827,
                "image_height": 556,
                "name": "vucini_2008_rnp-image.jpg",
                "type": "image/jpeg",
                "size": 68696,
                "path": "Publication:vucini_2008_rnp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vucini_2008_rnp-paper.pdf",
                "type": "application/pdf",
                "size": 14669433,
                "path": "Publication:vucini_2008_rnp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/vucini_2008_rnp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/vucini_2008_rnp/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2008-ComVis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "ComVis: a Coordinated Multiple Views System for Prototyping New Visualization Technology",
        "date": "2008-07",
        "abstract": "There is a large number of interactive visualization\r\ntools, however no universal tool exists that covers all relevant\r\naspects for all possible application domains. We have\r\ndeveloped a tool, ComVIs, which was intended to be used\r\nas a research prototype for new visualization techniques.\r\nWe have identified some interesting aspects from developers\r\nand users point of view during tool development. In this\r\npaper we describe lessons learned during the process, and\r\nshare our findings with visualization research community.\r\nExamples at the end prove the usefulness of the developed\r\ntool. One particular example, the concept of families of\r\nfunction graphs and application to analysis of fuel injection\r\nconcludes the paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1556,
            "image_height": 909,
            "name": "Matkovic-2008-ComVis-image.jpg",
            "type": "image/jpeg",
            "size": 196957,
            "path": "Publication:Matkovic-2008-ComVis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            758,
            581,
            176
        ],
        "booktitle": "Proceedings of the 12th International Conference Information Visualisation",
        "lecturer": [
            235
        ],
        "location": "London, UK",
        "research_areas": [],
        "keywords": [
            "visualization tool",
            "visual analysis",
            "information visualization",
            "system design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1556,
                "image_height": 909,
                "name": "Matkovic-2008-ComVis-image.jpg",
                "type": "image/jpeg",
                "size": 196957,
                "path": "Publication:Matkovic-2008-ComVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Matkovic-2008-ComVis-paper.pdf",
                "type": "application/pdf",
                "size": 963091,
                "path": "Publication:Matkovic-2008-ComVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/Matkovic-2008-ComVis-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-ComVis/",
        "__class": "Publication"
    },
    {
        "id": "monitzer_2008_FluSi",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fluid Simulation on the GPU with Complex Obstacles Using the Lattice Boltzmann Method",
        "date": "2008-07",
        "abstract": "Real-time computer graphics and simulation has advanced to a level of realism that was regarded as\r\nunthinkable a few decades ago. However, \r\nuid simulations are still in an infant state for applications that\r\nrequire interactivity. Recent developments in programmability of graphics processing units on current\r\ngraphics cards have enabled researchers to treat these cards as stream co-processors. This class of\r\nprocessors are designed for parallelizable algorithms that do not make heavy use of branching. Algorithms\r\nhaving these properties can be accelerated signi\fcantly compared to implementations on current central\r\nprocessing units. Since grid-based \r\nuid simulations \ft perfectly into this scheme, this has become a\r\nhot topic in research. Various approaches will be presented in order to determine a combination of\r\nalgorithms that can easily be parallelized and allow integrating rigid objects with complex boundaries into\r\na \r\nuid simulation at interactive rates. Additionally, the usage of \r\nuid simulations in computer games will\r\nbe discussed. An underwater pinball game will be introduced as a practical example, highlighting the\r\nconsiderations that have to be taken into account when adding this game element that was previously\r\nimpossible to use.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1748,
            "image_height": 1347,
            "name": "monitzer_2008_FluSi-image.jpg",
            "type": "image/jpeg",
            "size": 763598,
            "path": "Publication:monitzer_2008_FluSi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            735
        ],
        "diploma_examina": "2008-07-17",
        "supervisor": [
            166,
            672
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1748,
                "image_height": 1347,
                "name": "monitzer_2008_FluSi-image.jpg",
                "type": "image/jpeg",
                "size": 763598,
                "path": "Publication:monitzer_2008_FluSi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "monitzer_2008_FluSi-paper.pdf",
                "type": "application/pdf",
                "size": 10790689,
                "path": "Publication:monitzer_2008_FluSi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/monitzer_2008_FluSi-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/monitzer_2008_FluSi/",
        "__class": "Publication"
    },
    {
        "id": "SATZER-2008",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Console Engine Design on the Example of the PlayStation 2 in Comparison to the PC",
        "date": "2008-06",
        "abstract": "3D Graphics are an important part of a lot of software nowadays, ranging from games to\r\nmedical or architectural visualization. Especially games drive the development of more and\r\nmore powerful graphic cards and consoles. The graphics engine is the component of the\r\nsoftware responsible for visual presentation. On consoles the hardware layout is di\u000berent to\r\nthat of a standard PC, thus making it interesting to adapt and optimize a rendering engine\r\nfor a speci\fc hardware con\fguration. The multi-processor technology of the PlayStation\r\n2 with its extensive parallelism is optimal to show the di\u000berences between platforms with\r\na rendering engine prototype.\r\nTo get basic knowledge, an overview of the hardware along with design strategies is given.\r\nThe main di\u000berence to a PC engine is the non-existence of a graphics API like OpenGL\r\nor DirectX. Because of the \fxed hardware layout it is possible to design the engine to \ft\r\nperfectly to the available hardware and optimize it accordingly without any need for compatibility\r\nto di\u000berent hardware settings. To get acceptable performance on the PlayStation\r\n2, various bu\u000bering schemes, as well as the use of the di\u000berent available processing units\r\nare explained and incorporated in the engine design. The PlayStation 2 o\u000bers parallelism\r\nin the rasterizer, which creates the need for synchronization. To achieve this, two di\u000berent\r\ntechniques are explained and a CPU-independent synchronization using the DMA controller\r\nis implemented. The main part of the thesis is the direct comparison between an\r\nengine design for the PlayStation 2 and the PC. This is especially shown on various small\r\ne\u000bects, like motion blur or glow, implemented on the PlayStation 2, exploiting specialized\r\nfeatures available only on this platform, and the PC.\r\nThe engine prototype includes a toolchain for models and textures into a PlayStation 2\r\noptimized format for fast usage. It uses the available Vector Units to shift processing load\r\nfrom the CPU to the other components and makes excessive usage of DMA transfer to\r\nget parallel upload of textures and other data. Various special e\u000bects were implemented to\r\nhelp to point out the di\u000berences between conventional PC hardware and the PlayStation\r\n2.\r\nSumming up, this thesis proposes an engine design for the PlayStation 2 using various\r\nfeatures of this hardware and comparing its possibilities with those of conventional PC\r\nhardware. The thesis is divided into a basic overview of the rendering steps and the hardware\r\nof the PlayStation 2. This is followed by a detailed layout of the design issues for the\r\nengine and a comparison to the PC.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            739
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "game engines"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SATZER-2008/",
        "__class": "Publication"
    },
    {
        "id": "SCHERZER-2008-FSR",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Frame Sequential Interpolation for Discrete Level-of-Detail Rendering",
        "date": "2008-06",
        "abstract": "In this paper we present a method for automatic interpolation between adjacent discrete levels of detail to achieve smooth LOD changes in image space. We achieve this by breaking the problem into two passes: We render the two LOD levels individually and combine them in a separate pass afterwards. The interpolation is formulated in a way that only one level has to be updated per frame and the other can be reused from the previous frame, thereby causing roughly the same render cost as with simple non interpolated discrete LOD rendering, only incurring the slight overhead of the final combination pass. Additionally we describe customized interpolation schemes using visibility textures.\n\nThe method was designed with the ease of integration into existing engines in mind. It requires neither sorting nor blending of objects, nor does it introduce any constrains in the LOD used. The LODs can be coplanar, alpha masked, animated, impostors, and intersecting, while still interpolating smoothly.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1311,
            "image_height": 804,
            "name": "SCHERZER-2008-FSR-thumbnail.png",
            "type": "image/png",
            "size": 750809,
            "path": "Publication:SCHERZER-2008-FSR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            193
        ],
        "date_from": "2008-06-23",
        "date_to": "2008-06-25",
        "event": "Eurographics Symposium on Rendering 2008",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceedings EGSR 2008)",
        "lecturer": [
            452
        ],
        "location": "Sarajevo, Bosnia-Herzegovina",
        "number": "4",
        "pages_from": "1175",
        "pages_to": "1181",
        "volume": "27",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "LOD blending",
            "real-time rendering",
            "levels of detail"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SCHERZER-2008-FSR-draft.pdf",
                "type": "application/pdf",
                "size": 12907147,
                "path": "Publication:SCHERZER-2008-FSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1311,
                "image_height": 804,
                "name": "SCHERZER-2008-FSR-thumbnail.png",
                "type": "image/png",
                "size": 750809,
                "path": "Publication:SCHERZER-2008-FSR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-thumbnail:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 576,
                "name": "SCHERZER-2008-FSR-video.avi",
                "type": "video/x-msvideo",
                "size": 46305280,
                "path": "Publication:SCHERZER-2008-FSR",
                "preview_name": "SCHERZER-2008-FSR-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 81994,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/SCHERZER-2008-FSR-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/SCHERZER-2008-FSR/",
        "__class": "Publication"
    },
    {
        "id": "balabanian-2008-tst",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Temporal Styles for Time-Varying Volume Data",
        "date": "2008-06",
        "abstract": "This paper introduces interaction mechanisms for conveying\r\ntemporal characteristics of time-varying volume\r\ndata based on temporal styles. We demonstrate the flexibility\r\nof the new concept through different temporal style\r\ntransfer function types and we define a set of temporal compositors\r\nas operators on them. The data is rendered by a\r\nmulti-volume GPU raycaster that does not require any grid\r\nalignment over the individual time-steps of our data nor a\r\nrectilinear grid structure. The paper presents the applicability\r\nof the new concept on different data sets from partial\r\nto full voxel alignment with rectilinear and curvilinear grid\r\nlayout.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 3126,
            "image_height": 636,
            "name": "balabanian-2008-tst-image.jpg",
            "type": "image/jpeg",
            "size": 232966,
            "path": "Publication:balabanian-2008-tst",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673,
            171,
            196,
            166
        ],
        "booktitle": "Proceedings of 3DPVT",
        "date_from": "2008-06-18",
        "date_to": "2008-06-20",
        "editor": "Stephan Gumhold, Jana Kosecka and Oliver Staadt",
        "lecturer": [
            673
        ],
        "location": "Atlanta, Georgia, USA",
        "note": "POSTER PRESENTATION",
        "pages_from": "81",
        "pages_to": "89",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3126,
                "image_height": 636,
                "name": "balabanian-2008-tst-image.jpg",
                "type": "image/jpeg",
                "size": 232966,
                "path": "Publication:balabanian-2008-tst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "balabanian-2008-tst-paper.pdf",
                "type": "application/pdf",
                "size": 1685798,
                "path": "Publication:balabanian-2008-tst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/balabanian-2008-tst-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/balabanian-2008-tst/",
        "__class": "Publication"
    },
    {
        "id": "CADIK-2008-EHD",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of HDR Tone Mapping Methods Using Essential Perceptual Attributes",
        "date": "2008-06",
        "abstract": "The problem of reproducing high dynamic range images on devices with restricted dynamic range has gained a lot of interest in the computer graphics community. There exist various approaches to this issue, which span several research areas including computer graphics, image processing, color vision, physiological aspects, etc. These approaches assume a thorough knowledge of both the objective and subjective attributes of an image. However, no comprehensive overview and analysis of such attributes has been published so far.\n\nIn this contribution, we present an overview about the effects of basic image attributes in HDR tone mapping. Furthermore, we propose a scheme of relationships between these attributes, leading to the definition of an overall image quality measure. We present results of subjective psychophysical experiments that we have performed to prove the proposed relationship scheme. Moreover, we also present an evaluation of existing tone mapping methods (operators) with regard to these attributes. Finally, the execution of with-reference and without a real reference perceptual experiments gave us the opportunity to relate the obtained subjective results.\n\nOur effort is not just useful to get into the tone mapping field or when implementing a tone mapping method, but it also sets the stage for well-founded quality comparisons between tone mapping methods. By providing good definitions of the different attributes, user-driven or fully automatic comparisons are made possible.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "CADIK-2008-EHD-.bmp",
            "type": "image/x-ms-bmp",
            "size": 5760054,
            "path": "Publication:CADIK-2008-EHD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            635,
            193,
            177,
            191
        ],
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "3",
        "pages_from": "330",
        "pages_to": "349",
        "volume": "32",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "high dynamic range",
            "tone mapping operators",
            "tone mapping evaluation",
            "image attributes"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "CADIK-2008-EHD-.bmp",
                "type": "image/x-ms-bmp",
                "size": 5760054,
                "path": "Publication:CADIK-2008-EHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CADIK-2008-EHD-Preprint.pdf",
                "type": "application/pdf",
                "size": 2159163,
                "path": "Publication:CADIK-2008-EHD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/CADIK-2008-EHD-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CADIK-2008-EHD/",
        "__class": "Publication"
    },
    {
        "id": "CHIU-2008-PEN",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Penta G - A Game Engine for Real-Time Rendering Research",
        "date": "2008-06",
        "abstract": "Scientifc research often necessitates the usage of middleware for proof-of-concept implementations. In computer graphics, rendering engines are a type of middleware used for such a purpose. For real-time rendering, however, rendering engines often do not provide all functionality that is required, as in real-time, a certain degree of user interactivity aside from graphics is necessary, or can be the center of research. Furthermore, some modern research also explores interactivity with non-visual perceptual channels such as audio. Full game engines provide that functionality, however most state-of- the-art game engines are only available through expensive or exclusive licenses, or are completely unavailable for scientifc research.\r\n\r\nThis thesis presents the design, implementation and adaptation process of a state-of-the-art game engine that was tailored specifcally for research purposes. This game engine includes all the necessary components to build real-time-interactive computer graphics applications and has been used in several research projects such as the EU GameTools Project and the EU Crossmod Project.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "CHIU-2008-PEN-thumbnail.bmp",
            "type": "image/x-ms-bmp",
            "size": 2359350,
            "path": "Publication:CHIU-2008-PEN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            733
        ],
        "diploma_examina": "2008-06-10",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CHIU-2008-PEN-thesis.pdf",
                "type": "application/pdf",
                "size": 19729894,
                "path": "Publication:CHIU-2008-PEN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "CHIU-2008-PEN-thumbnail.bmp",
                "type": "image/x-ms-bmp",
                "size": 2359350,
                "path": "Publication:CHIU-2008-PEN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/CHIU-2008-PEN-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/CHIU-2008-PEN/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2008-IVV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating Volume Visualization Techniques Into Medical Applications",
        "date": "2008-05",
        "abstract": "One of the main obstacles in integrating 3D volume visualization in the clinical workflow is the time-consuming process of adjusting parameters such as viewpoint, transfer functions, and clipping planes required to generate a diagnostically relevant image. Current applications therefore make scarce use of volume rendering and instead primarily employ 2D views generated through standard techniques such as multi-planar reconstruction (MPR). However, in many cases 3D renditions can supply additional useful information. This paper discusses ongoing work which aims to improve the integration of 3D visualization into the diagnostic workflow by automatically generating meaningful renditions based on minimal user interaction. A method for automatically generating 3D views for structures in 2D slices based on a single picking interaction is presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Automatic 3D view selection",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 500,
            "image_height": 373,
            "name": "bruckner-2008-IVV-Image.jpg",
            "type": "image/jpeg",
            "size": 106917,
            "path": "Publication:bruckner-2008-IVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            605,
            162,
            166
        ],
        "booktitle": "Proceedings of  5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro",
        "date_from": "2008-05-14",
        "date_to": "2008-05-17",
        "isbn": "978-1-4244-2002-5",
        "lecturer": [
            161
        ],
        "location": "Paris, Frankreich",
        "pages_from": "820",
        "pages_to": "823",
        "research_areas": [],
        "keywords": [
            "viewpoint selection",
            "medical visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Automatic 3D view selection",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 500,
                "image_height": 373,
                "name": "bruckner-2008-IVV-Image.jpg",
                "type": "image/jpeg",
                "size": 106917,
                "path": "Publication:bruckner-2008-IVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2008-IVV-Paper.pdf",
                "type": "application/pdf",
                "size": 2240970,
                "path": "Publication:bruckner-2008-IVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/bruckner-2008-IVV-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IVV/",
        "__class": "Publication"
    },
    {
        "id": "Muigg-2008-four",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data",
        "date": "2008-05",
        "abstract": "In this paper we present a new approach to the interactive visual analysis of time-dependent scientific data -- both from measurements as well as from computational simulation -- by visualizing a scalar function over time for each of tenthousands or even millions of sample points. In order to cope with overdrawing and cluttering, we introduce a new four-level method of focus+context visualization. Based on a setting of coordinated, multiple views (with linking and brushing), we integrate three different kinds of focus and also the context in every single view. Per data item we use three values (from the unit interval each) to represent to which degree the data item is part of the respective focus level. We present a color compositing scheme which is capable of expressing all three values in a meaningful way, taking semantics and their relations amongst each other (in the context of our multiple linked view setup) into account. Furthermore, we present additional image-based postprocessing methods to enhance the visualization of large sets of function graphs, including a texture-based technique based on line integral convolution (LIC). We also propose advanced brushing techniques which are specific to the timedependent nature of the data (in order to brush patterns over time more efficiently). We demonstrate the usefulness of the new approach in the context of medical perfusion data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1183,
            "image_height": 642,
            "name": "Muigg-2008-four-image.jpg",
            "type": "image/jpeg",
            "size": 249102,
            "path": "Publication:Muigg-2008-four",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            662,
            983,
            751,
            451,
            212,
            563,
            176
        ],
        "event": "EuroVis 2008",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            662
        ],
        "location": "Eindhooven, Netherlands",
        "number": "3",
        "pages_from": "775",
        "pages_to": "782",
        "volume": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "http://dx.doi.org/10.1111/j.1467-8659.2008.01207.x",
                "caption": null,
                "description": null,
                "main_file": 0
            }
        ],
        "files": [
            {
                "description": "",
                "filetitle": "Draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Muigg-2008-four-Draft.pdf",
                "type": "application/pdf",
                "size": 4583680,
                "path": "Publication:Muigg-2008-four",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-Draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-Draft:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1183,
                "image_height": 642,
                "name": "Muigg-2008-four-image.jpg",
                "type": "image/jpeg",
                "size": 249102,
                "path": "Publication:Muigg-2008-four",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "Muigg-2008-four-Video.avi",
                "type": "video/x-msvideo",
                "size": 6107130,
                "path": "Publication:Muigg-2008-four",
                "preview_name": "Muigg-2008-four-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 40171,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/Muigg-2008-four-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Muigg-2008-four/",
        "__class": "Publication"
    },
    {
        "id": "Trobec-2008-Heart",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Heart Reinervation after Transplantation",
        "date": "2008-05",
        "abstract": "During heart transplantation complete denervation\r\nof allograft occurs. Partial reinnervation may develop after one\r\nyear or later. It can be detected by different methods i.e., iodine-\r\n123-meta-iodobenziylguanidine (MIBG) scintigraphy, positron\r\nemission tomography (PET), heart rate variability (HRV), etc.\r\nWe propose an alternative noninvasive method based on visual\r\ndiagnostics (VD) and supported by a custom developed tool\r\n(ComVis), which enables interactive visual analysis of large\r\ndata sets by exploiting focus and context (simultaneous local\r\nand global view), multiple coordinated views and advanced\r\ninteraction. Measurements of patients with transplanted heart\r\nare rare and valuable, therefore they should be analyzed in all\r\ndetails. Different statistical characteristics and time series from\r\nECG and respiration measurements from fifteen patients and\r\ntwelve healthy controls have been analyzed using the ComVis\r\ntool. MIBG scintigraphy imaging was included, as well. Heart\r\nto mediastinum ratio (HMR) was used as a measure of the ventricular\r\nreinervation. HRV was analyzed to evaluate sinus node\r\nreinnervation. HRV was synchronized on well defined expiration\r\nmoment and analyzed in time-domain.We will describe some new\r\ndiagnostic results or rules that were deduced from interactive\r\nvisual analysis and may help in the future investigation of heart\r\nreinervation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 763,
            "image_height": 724,
            "name": "Trobec-2008-Heart-image.jpg",
            "type": "image/jpeg",
            "size": 288905,
            "path": "Publication:Trobec-2008-Heart",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            761,
            235,
            762,
            764,
            765,
            766
        ],
        "booktitle": "Proceedings of the MIPRO 2008",
        "lecturer": [
            761
        ],
        "location": "Opatija, Croatia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 763,
                "image_height": 724,
                "name": "Trobec-2008-Heart-image.jpg",
                "type": "image/jpeg",
                "size": 288905,
                "path": "Publication:Trobec-2008-Heart",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trobec-2008-Heart-paper.pdf",
                "type": "application/pdf",
                "size": 1022382,
                "path": "Publication:Trobec-2008-Heart",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/Trobec-2008-Heart-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Trobec-2008-Heart/",
        "__class": "Publication"
    },
    {
        "id": "fuchs_raphael_2007_par",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Vectors Criteria for Unsteady Flow Vortices",
        "date": "2008-05",
        "abstract": "Feature-based flow visualization is naturally dependent\r\n  on feature extraction. To extract flow features, often higher-order\r\n  properties of the flow data are used such as the Jacobian or\r\n  curvature properties, implicitly describing the flow features in\r\n  terms of their inherent flow characteristics (e.g., collinear flow\r\n  and vorticity vectors). In this paper we present recent research\r\n  which leads to the (not really surprising) conclusion that feature extraction algorithms\r\n  need to be extended to a time-dependent analysis framework (in terms\r\n  of time derivatives) when dealing with unsteady flow data.\r\n  Accordingly, we present two extensions of the parallel vectors based vortex\r\n  extraction criteria to the time-dependent domain and show the improvements of\r\n  feature-based flow visualization in comparison to the\r\n  steady versions of this extraction algorithm both in the context of\r\n  a high-resolution dataset, i.e., a simulation specifically designed\r\n  to evaluate our new approach, as well as for a real-world dataset\r\n  from a concrete application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 902,
            "image_height": 902,
            "name": "fuchs_raphael_2007_par-Image.jpg",
            "type": "image/jpeg",
            "size": 112972,
            "path": "Publication:fuchs_raphael_2007_par",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            672,
            695,
            176,
            696,
            662
        ],
        "journal": "TVCG",
        "number": "3",
        "pages_from": "615",
        "pages_to": "626",
        "volume": "14",
        "research_areas": [],
        "keywords": [
            "Time-Varying Data Visualization",
            "Vortex Feature Detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Streamlines and pathlines in a model of a rotating vortex rope. (a) The vortex core line based on streamlines (according to Sujudi and Haimes) is shown as a thick grey tube (it is the only grey line which also is a helix). (b) The vortex core line based on pathlines (shown in yellow on the right) has the same pitch but a larger radius (it is the only helical pathline, shown in thick magenta).",
                "filetitle": "Figure1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1110,
                "image_height": 764,
                "name": "fuchs_raphael_2007_par-Figure1.jpg",
                "type": "image/jpeg",
                "size": 134880,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure1:thumb{{size}}.png"
            },
            {
                "description": "For the vortex rope in the depicted dataset, iso-values of pressure give good insight on where the vortex core line is located. We can clearly see how the yellow core line (extracted using the classical approach of Sujudi and Haimes deviates from the center of pressure isosurface. The modification to time derivative aware extraction of the vortex coreline improves the results visibly.",
                "filetitle": "Figure2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1102,
                "image_height": 1204,
                "name": "fuchs_raphael_2007_par-Figure2.jpg",
                "type": "image/jpeg",
                "size": 135176,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure2:thumb{{size}}.png"
            },
            {
                "description": "We compare the vortex core lines found by the original method of Sujudi and Haimes and the modified version. Two views of the same timestep show the benefits of the modification. Both views show the same vortex core line and isosurface. (1) In one case the original method does not detect one vortex core at all. (2) The time-aware modification traverses the full length of the vortex core and continues into the region of strong turbulence at the top of the cylinder. (3) The original vortex core line leaves the core region of the vortex and vanishes in a substantial portion of the vortex region.",
                "filetitle": "Figure3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1344,
                "image_height": 1229,
                "name": "fuchs_raphael_2007_par-Figure3.jpg",
                "type": "image/jpeg",
                "size": 241908,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure3:thumb{{size}}.png"
            },
            {
                "description": "Comparison of acceleration vector magnitudes:  The scatterplots show that the magnitudes of the two variants of the acceleration vectors can differ significantly in the crucial timesteps,  i.e., timesteps of major changes over time, after ignition (we have normalized the magnitudes such that the center of gravity corresponds to the origin).",
                "filetitle": "Figure4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 658,
                "image_height": 334,
                "name": "fuchs_raphael_2007_par-Figure4.gif",
                "type": "image/gif",
                "size": 25961,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure4.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure4:thumb{{size}}.png"
            },
            {
                "description": "We compare the computed corelines with respect to lambda2 and equivalence ratio. (a) The modified algorithm detects two vortex core lines (red) whereas the original version only detects the main vortex core line (white). (b) An isosurface of equivalence ratio at 0.7 containing the region of optimal mixing. (c) The surface containing the region of equivalence ratio of 0.5 and lambda2< -1000$.",
                "filetitle": "Figure5",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2652,
                "image_height": 863,
                "name": "fuchs_raphael_2007_par-Figure5.jpg",
                "type": "image/jpeg",
                "size": 479277,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure5.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure5:thumb{{size}}.png"
            },
            {
                "description": "Gradient estimation at a vertex (red) using the Green-Gauss theorem requires to estimate cell center velocities and mid-point velocities. (a) The surrounding surface uses cell centers (green) and mid-points (gray). (b) In this detail illustration of the lighter gray section from (a) we see the full configuration for a single surrounding tetrahedron.",
                "filetitle": "Figure6",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 708,
                "image_height": 407,
                "name": "fuchs_raphael_2007_par-Figure6.gif",
                "type": "image/gif",
                "size": 23136,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure6.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Figure6:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 902,
                "image_height": 902,
                "name": "fuchs_raphael_2007_par-Image.jpg",
                "type": "image/jpeg",
                "size": 112972,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuchs_raphael_2007_par-Paper.pdf",
                "type": "application/pdf",
                "size": 4427626,
                "path": "Publication:fuchs_raphael_2007_par",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/fuchs_raphael_2007_par-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fuchs_raphael_2007_par/",
        "__class": "Publication"
    },
    {
        "id": "radax-2008-ir",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Radiosity for Real-Time Global Illumination",
        "date": "2008-05",
        "abstract": "Global illumination is necessary to achieve realistic images. Although\nthere are plenty methods that focus on solving this problem,\nmost of them are not fast enough for interactive environments. Instant\nradiosity is a method that approximates the indirect lighting,\nas part of global illumination, by creating additional light sources.\nThereby it is very fast and does not need lot of preprocessing, so\nit is perfectly fit to be used within real-time requirements. Further\ntechniques based on instant radiosity have extended the method to\nprovide better image quality or faster rendering. So instant radiosity\nand its derivations can bring us global illumination in real-time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            721
        ],
        "number": "TR-186-2-08-15",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Three-Dimensional Graphics and Realism",
            "shading",
            "radiosity",
            "real time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "radax-2008-ir-paper.pdf",
                "type": "application/pdf",
                "size": 4770831,
                "path": "Publication:radax-2008-ir",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/radax-2008-ir/radax-2008-ir-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/radax-2008-ir/radax-2008-ir-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/radax-2008-ir/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2008-IDS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interaction-Dependent Semantics for Illustrative Volume Rendering",
        "date": "2008-05",
        "abstract": "In traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of\nthe artist. For illustrative volume visualizations it is difficult to specify the mapping between the 3D data and the visual representation that preserves the intention of the user. The semantic layers concept establishes this mapping with a linguistic formulation of rules that directly map data features to rendering styles. With semantic layers fuzzy logic is used to evaluate the user defined illustration rules in a preprocessing step.\nIn this paper we introduce interaction-dependent rules that are evaluated for each frame and are therefore computationally more expensive. Enabling interaction-dependent rules, however, allows the use of a new class of semantics, resulting in more expressive interactive illustrations. We show that the evaluation of the fuzzy logic can be done on the graphics hardware enabling the efficient use of interaction-dependent semantics. Further\nwe introduce the flat rendering mode and discuss how different rendering parameters are influenced by the rule\nbase. Our approach provides high quality illustrative volume renderings at interactive frame rates, guided by the\nspecification of illustration rules.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 793,
            "image_height": 475,
            "name": "Rautek-2008-IDS-image.png",
            "type": "image/png",
            "size": 211033,
            "path": "Publication:Rautek-2008-IDS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166
        ],
        "event": "Eurographics/ IEEE-VGTC Symposium on Visualization",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            488
        ],
        "location": "Eindhoven, The Netherlands",
        "number": "3",
        "pages_from": "847",
        "pages_to": "854",
        "volume": "27",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image-result",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 332,
                "image_height": 598,
                "name": "Rautek-2008-IDS-image-result.png",
                "type": "image/png",
                "size": 178836,
                "path": "Publication:Rautek-2008-IDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image-result01",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 437,
                "image_height": 605,
                "name": "Rautek-2008-IDS-image-result01.png",
                "type": "image/png",
                "size": 180091,
                "path": "Publication:Rautek-2008-IDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image-result01:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 793,
                "image_height": 475,
                "name": "Rautek-2008-IDS-image.png",
                "type": "image/png",
                "size": 211033,
                "path": "Publication:Rautek-2008-IDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Rautek-2008-IDS-paper.pdf",
                "type": "application/pdf",
                "size": 6701122,
                "path": "Publication:Rautek-2008-IDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "Rautek-2008-IDS-video.avi",
                "type": "video/x-msvideo",
                "size": 25194564,
                "path": "Publication:Rautek-2008-IDS",
                "preview_name": "Rautek-2008-IDS-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 18454,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/Rautek-2008-IDS-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-IDS/",
        "__class": "Publication"
    },
    {
        "id": "sari2008mt",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photorealistic Rendering Of Measured BRDF Data",
        "date": "2008-05",
        "abstract": "Photo realistic rendering of measured data is a widely used method to generate reference images for analytical models. But before we can render measured data it has to be acquired and then fitted and interpolated. In this thesis we review two BRDF (Bidirectional Reflectance Distribution Function) databases from different Universities. One database consists of Spectral data where the other only measured the materials in RGB color space. Furthermore we introduce the reader in the basic BRDF models and in the basics of Monte Carlo sampling methods. \r\n\r\nWe integrate the rendering of measured BRDF data in the Advanced Rendering Toolkit (ART), which is developed since 1996 from the Institute of Computer  Graphics and Algorithms of the Vienna University of Technology. Also we evaluate the generated images, with polar plots, to show their reflectance property. Also we show our trilinear interpolation approach, which was used for the data from the Cornell University. To present our work we also rendered several images with the ART pathtracer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "sari2008mt-image.jpg",
            "type": "image/jpeg",
            "size": 124961,
            "path": "Publication:sari2008mt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            729
        ],
        "supervisor": [
            567
        ],
        "research_areas": [],
        "keywords": [
            "rendering",
            "BRDF"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "sari2008mt-image.jpg",
                "type": "image/jpeg",
                "size": 124961,
                "path": "Publication:sari2008mt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "sari2008mt-paper.pdf",
                "type": "application/pdf",
                "size": 1228363,
                "path": "Publication:sari2008mt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/sari2008mt-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/sari2008mt/",
        "__class": "Publication"
    },
    {
        "id": "kohlmann-2008-lse",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiveSync++: Enhancements of an Interaction Metaphor",
        "date": "2008-05",
        "abstract": "The LiveSync interaction metaphor allows an efficient and non-intrusive integration of 2D and 3D visualizations in medical workstations. This is achieved by synchronizing the 2D slice view with the volumetric view. The synchronization is initiated by a simple\r\npicking on a structure of interest in the slice view. In this paper we\r\npresent substantial enhancements of the existing concept to improve its usability. First, an efficient parametrization for the derived parameters is presented, which allows hierarchical refinement of the\r\nsearch space for good views. Second, the extraction of the feature of\r\ninterest is performed in a way, which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a predefined transfer function in a feature-enhancing manner. Third, a new interaction mode is presented, which allows the integration of more knowledge about the user-intended visualization, without increasing the interaction effort. Finally, a new clipping technique is integrated, which guarantees an unoccluded view on the structure of interest while keeping important contextual information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 550,
            "name": "kohlmann-2008-lse-image.jpg",
            "type": "image/jpeg",
            "size": 137567,
            "path": "Publication:kohlmann-2008-lse",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "booktitle": "Proceedings of Graphics Interface 2008",
        "date_from": "2008-05-28",
        "date_to": "2008-05-30",
        "lecturer": [
            605
        ],
        "location": "Windsor, Ontario, Canada",
        "pages_from": "81",
        "pages_to": "88",
        "research_areas": [],
        "keywords": [
            "Viewpoint Selection",
            "Linked Views",
            "Medical Visualization",
            "Smart Interaction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 550,
                "name": "kohlmann-2008-lse-image.jpg",
                "type": "image/jpeg",
                "size": 137567,
                "path": "Publication:kohlmann-2008-lse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 377,
                "image_height": 508,
                "name": "kohlmann-2008-lse-image.png",
                "type": "image/png",
                "size": 363809,
                "path": "Publication:kohlmann-2008-lse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2008-lse-paper.pdf",
                "type": "application/pdf",
                "size": 2106058,
                "path": "Publication:kohlmann-2008-lse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2008-lse-slides.zip",
                "type": "application/x-zip",
                "size": 17306084,
                "path": "Publication:kohlmann-2008-lse",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-slides.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "kohlmann-2008-lse-video.avi",
                "type": "video/x-msvideo",
                "size": 9722292,
                "path": "Publication:kohlmann-2008-lse",
                "preview_name": "kohlmann-2008-lse-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 17377,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/kohlmann-2008-lse-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kohlmann-2008-lse/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-04",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information-based Transfer Functions for Multimodal Visualization",
        "date": "2008-04",
        "abstract": "Transfer functions are an essential part of volume visualization. In multimodal visualization at least two values exist at every sample point. Additionally, other parameters, such as gradient magnitude, are often retrieved for each sample point. To find a good transfer function for this high number of parameters is challenging because of the complexity of this task. In this paper we present a general information-based approach for transfer function design in multimodal visualization which is independent of the used modality types. Based on information theory, the complex multi-dimensional transfer function space is fused to a well-known 2D transfer function with a single value and gradient magnitude as parameters. Additionally, a quantity is introduced which is used for achieving better separation of regions with complementary information. The benefit of the new method in contrast to other techniques is a transfer function space which is easy to understand and which provides a better separation of different tissues. The usability of the new approach is shown on examples of different modalities.",
        "authors_et_al": false,
        "substitute": "haidacher-2008-vcbm",
        "main_image": {
            "description": "Multimodal Visualization of CT and PET",
            "filetitle": "CT-PET",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1444,
            "image_height": 1167,
            "name": "TR-186-2-08-04-CT-PET.jpg",
            "type": "image/jpeg",
            "size": 1722886,
            "path": "Publication:TR-186-2-08-04",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597,
            161,
            162,
            166
        ],
        "number": "TR-186-2-08-04",
        "research_areas": [],
        "keywords": [
            "Information-based classification",
            "Information theory",
            "Point-wise mutual information",
            "Transfer functions",
            "Multimodal visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Multimodal Visualization of CT and PET",
                "filetitle": "CT-PET",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1444,
                "image_height": 1167,
                "name": "TR-186-2-08-04-CT-PET.jpg",
                "type": "image/jpeg",
                "size": 1722886,
                "path": "Publication:TR-186-2-08-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-CT-PET:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "TechnicalReport",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-04-TechnicalReport.pdf",
                "type": "application/pdf",
                "size": 3651640,
                "path": "Publication:TR-186-2-08-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-TechnicalReport.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/TR-186-2-08-04-TechnicalReport:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-04/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-06",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Variance Comparison for Volumetric Industrial CT Data",
        "date": "2008-04",
        "abstract": "This paper proposes a novel technique for the direct comparison of a surface model with the corresponding industrial CT volume. We do not require the generation of a mesh from the CT scan and instead perform comparison directly with the raw volume dataset. Our\r\ntechnique uses the information from the surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to perform distance analysis and normal analysis. The metrics are presented to the user both visually as well as quantitatively. The comparison techniques are divided into two groups namely geometry-driven comparison techniques and visual-driven comparison techniques. The geometry-driven techniques color code the datasets and render distance glyphs to provide an overview, while the visual-driven techniques can be used for a localized examination and for determining precise information about the deviation between the datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "TR-186-2-08-06-.png",
            "type": "image/png",
            "size": 112477,
            "path": "Publication:TR-186-2-08-06",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            611,
            166
        ],
        "number": "TR-186-2-08-06",
        "research_areas": [],
        "keywords": [
            "Volume Rendering",
            "Uncertainty",
            "Variance Comparison",
            "Industrial CT"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "TR-186-2-08-06-.png",
                "type": "image/png",
                "size": 112477,
                "path": "Publication:TR-186-2-08-06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-06-paper.pdf",
                "type": "application/pdf",
                "size": 3127153,
                "path": "Publication:TR-186-2-08-06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/TR-186-2-08-06-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-06/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-08",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Visualisation and Reconstruction from Non-uniform Point Sets",
        "date": "2008-04",
        "abstract": "With recent technological advances, non-uniform representations are becoming a crucial factor in acquisition and simulation devices and as such the development of better and more reliable reconstruction and visualization schemes is a necessity. In this paper we present a novel framework for the visualization and reconstruction from non-uniform point sets. We adopt a variational method for the reconstruction of 3D non-uniform data to a uniform grid. We introduce a hybrid regularization functional tuned for our volumetric reconstruction technique and show its impact on improving the reconstruction results. Our reconstruction scheme can be used for reconstructing non-uniform point sets at different resolutions. In addition we propose a two-level multiresolution algorithm for adaptively reconstructing non-uniform representations. Finally we discuss further application scenarios and show rendering results to emphasize the effectiveness and quality of our proposed framework. By means of qualitative results we demonstrate why our method is better and more reliable for handling non-uniform representations.",
        "authors_et_al": false,
        "substitute": "TR-186-2-08-13",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 420,
            "image_height": 360,
            "name": "TR-186-2-08-08-image.png",
            "type": "image/png",
            "size": 454774,
            "path": "Publication:TR-186-2-08-08",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            196,
            166
        ],
        "number": "TR-186-2-08-08",
        "research_areas": [],
        "keywords": [
            "Multiresolution",
            "Non-uniform Representation",
            "Variational Reconstruction",
            "Regularization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 420,
                "image_height": 360,
                "name": "TR-186-2-08-08-image.png",
                "type": "image/png",
                "size": 454774,
                "path": "Publication:TR-186-2-08-08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-08-paper.pdf",
                "type": "application/pdf",
                "size": 5951681,
                "path": "Publication:TR-186-2-08-08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/TR-186-2-08-08-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-08/",
        "__class": "Publication"
    },
    {
        "id": "weidlich_2008_magwpt",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling Aventurescent Gems with Procedural Textures",
        "date": "2008-04",
        "abstract": "In this paper we present the results of an investigation on how one can model aventurescence, an interesting and optically appealing property of some gemstones. Our goal was to find a method that is both efficient and reasonably realistic, and that can still be used in the context of a global illumination rendering system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "sunstone",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "weidlich_2008_magwpt-sunstone.jpg",
            "type": "image/jpeg",
            "size": 269041,
            "path": "Publication:weidlich_2008_magwpt",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-sunstone.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-sunstone:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "booktitle": "Proceedings of the Spring Conference on Computer Graphics (SCCG)",
        "date_from": "2008-04-21",
        "date_to": "2008-04-23",
        "lecturer": [
            567
        ],
        "location": "Budmarice",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [
            "gemstone rendering",
            "aventurescence",
            "procedural textures"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "opaque",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "weidlich_2008_magwpt-opaque.jpg",
                "type": "image/jpeg",
                "size": 221091,
                "path": "Publication:weidlich_2008_magwpt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-opaque.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-opaque:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weidlich_2008_magwpt-paper.pdf",
                "type": "application/pdf",
                "size": 5336300,
                "path": "Publication:weidlich_2008_magwpt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "sunstone",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "weidlich_2008_magwpt-sunstone.jpg",
                "type": "image/jpeg",
                "size": 269041,
                "path": "Publication:weidlich_2008_magwpt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-sunstone.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/weidlich_2008_magwpt-sunstone:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2008_magwpt/",
        "__class": "Publication"
    },
    {
        "id": "mattausch-2008-CHC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "CHC++: Coherent Hierarchical Culling Revisited",
        "date": "2008-04",
        "abstract": "We present a new algorithm for efficient occlusion culling using hardware occlusion queries. The algorithm significantly improves on previous techniques by making better use of temporal and spatial coherence of visibility. This is achieved by using adaptive visibility prediction and query batching. As a result of the new optimizations the number of issued occlusion queries and the number of rendering state changes are significantly reduced. We also propose a simple method for determining tighter bounding volumes for occlusion queries and a method which further reduces the pipeline stalls.  The proposed method provides up to an order of magnitude speedup over the previous state of the art. The new technique is simple to implement, does not rely on hardware calibration and integrates well with modern game engines.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "color coded state changes induced by CHC++",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1670,
            "image_height": 1420,
            "name": "mattausch-2008-CHC-image.png",
            "type": "image/png",
            "size": 32953,
            "path": "Publication:mattausch-2008-CHC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            198,
            193
        ],
        "date_from": "2008-04-14",
        "date_to": "2008-04-18",
        "event": "EUROGRAPHICS 2008",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum (Proceedings Eurographics 2008)",
        "lecturer": [
            326
        ],
        "location": "Crete",
        "number": "2",
        "pages_from": "221",
        "pages_to": "230",
        "volume": "27",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "temporal coherence",
            "dynamic occlusion culling",
            "occlusion queries"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mattausch-2008-CHC-draft.pdf",
                "type": "application/pdf",
                "size": 2085122,
                "path": "Publication:mattausch-2008-CHC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-draft.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-draft:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "EG slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "mattausch-2008-CHC-EG slides.ppt",
                "type": "application/msword",
                "size": 3241472,
                "path": "Publication:mattausch-2008-CHC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-EG slides.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": "color coded state changes induced by CHC++",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1670,
                "image_height": 1420,
                "name": "mattausch-2008-CHC-image.png",
                "type": "image/png",
                "size": 32953,
                "path": "Publication:mattausch-2008-CHC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-image:thumb{{size}}.png"
            },
            {
                "description": "video of multiquery accumulation in the vienna scene",
                "filetitle": "multiqueries-video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 480,
                "name": "mattausch-2008-CHC-multiqueries-video.avi",
                "type": "video/x-msvideo",
                "size": 37535148,
                "path": "Publication:mattausch-2008-CHC",
                "preview_name": "mattausch-2008-CHC-multiqueries-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 22685,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-multiqueries-video:video.mp4"
            },
            {
                "description": "used  walkthroughs in powerplant",
                "filetitle": "walkthrough-videos",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 600,
                "name": "mattausch-2008-CHC-walkthrough-videos.avi",
                "type": "video/x-msvideo",
                "size": 84248576,
                "path": "Publication:mattausch-2008-CHC",
                "preview_name": "mattausch-2008-CHC-walkthrough-videos:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 17035,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/mattausch-2008-CHC-walkthrough-videos:video.mp4"
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/mattausch-2008-CHC/",
        "__class": "Publication"
    },
    {
        "id": "fruehstueck-2008-gpu",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU based Clipmaps",
        "date": "2008-04",
        "abstract": "Terrain rendering has a wide range of applications. It is used in cartography and landscape\r\nplanning as well as in the entertainment sector. Applications that have to render large terrain\r\nare facing the challenge of handling a vast amount of source data. The size of such terrain\r\ndata exceeds the capabilities of current PCs by far.\r\nIn this work an improved terrain rendering technique is introduced. It allows the rendering\r\nof surfaces with an arbitrary basis like the spherical-shaped earth. Our algorithm extends\r\nthe Geometry Clipmaps algorithm, a technique that allows to render very large terrain data\r\nwithout losing performance. This algorithm was developed by Losasso and Hoppe in 2004.\r\nAsirvatham and Hoppe improved this algorithm in 2005 by increasing the utilization of modern\r\ngraphics hardware. Nevertheless both algorithms lack of the ability to render large curved\r\nsurfaces.\r\nOur application overcomes this restriction by using a texture holding 3D points instead of\r\na heightmap. This enables our implementation to render terrain that resides on an arbitrary\r\nbasis. The created mesh is not bound by a regular grid mesh that can only be altered in\r\nz-direction. The drawback of this change of the original geometry clipmap algorithm is the\r\nintroduction of a precision problem that restricts the algorithm to render only a limited area.\r\nThis problem is handled by patching the whole surface with individual acting, geometry\r\nclipmap quads.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 221,
            "image_height": 222,
            "name": "fruehstueck-2008-gpu-image.psd",
            "type": "image/x-photoshop",
            "size": 120612,
            "path": "Publication:fruehstueck-2008-gpu",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-image.psd",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            728
        ],
        "supervisor": [
            190,
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 221,
                "image_height": 222,
                "name": "fruehstueck-2008-gpu-image.psd",
                "type": "image/x-photoshop",
                "size": 120612,
                "path": "Publication:fruehstueck-2008-gpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-image.psd",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fruehstueck-2008-gpu-paper.pdf",
                "type": "application/pdf",
                "size": 7228267,
                "path": "Publication:fruehstueck-2008-gpu",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/fruehstueck-2008-gpu-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/fruehstueck-2008-gpu/",
        "__class": "Publication"
    },
    {
        "id": "Habel_08_SSH",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Spherical Harmonics Lighting with the Preetham Skylight Model",
        "date": "2008-04",
        "abstract": "We present a fast and compact representation of a skylight model for spherical harmonics lighting, especially for outdoor scenes. This representation allows dynamically changing the sun position and weather conditions on a per frame basis. We chose the most used model in real-time graphics, the Preetham skylight model, because it can deliver both realistic colors and dynamic range and its extension into spherical harmonics can be used to realistically light a scene. We separate the parameters of the Preetham skylight models' spherical harmonics extension and perform a polynomial two-dimensional non-linear least squares fit for the principal parameters to achieve both negligible memory and computation costs. Additionally, we execute a domain specific Gibbs phenomena suppression to remove ringing artifacts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Sunset",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Habel_08_SSH-image.jpg",
            "type": "image/jpeg",
            "size": 313779,
            "path": "Publication:Habel_08_SSH",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            706,
            193
        ],
        "booktitle": "Eurographics 2008 - Short Papers",
        "editor": "Katerina Mania and Erik Reinhard",
        "issn": "1017-4656",
        "lecturer": [
            618
        ],
        "location": "Crete, Greece",
        "pages_from": "119",
        "pages_to": "122",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Natural Phenomena",
            "Spherical Harmonics",
            "Skylight"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Sunset",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Habel_08_SSH-image.jpg",
                "type": "image/jpeg",
                "size": 313779,
                "path": "Publication:Habel_08_SSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "implementation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_08_SSH-implementation.rar",
                "type": "application/x-rar",
                "size": 147898,
                "path": "Publication:Habel_08_SSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-implementation.rar",
                "thumb_image_sizes": []
            },
            {
                "description": "Sky-SH",
                "filetitle": "Movie",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_08_SSH-Movie.wmv",
                "type": "text/plain",
                "size": 6629409,
                "path": "Publication:Habel_08_SSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Movie.wmv",
                "thumb_image_sizes": []
            },
            {
                "description": "Efficient Spherical Harmonics Lighting with the Preetham Skylight Model",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_08_SSH-Preprint.pdf",
                "type": "application/pdf",
                "size": 992797,
                "path": "Publication:Habel_08_SSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/Habel_08_SSH-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Habel_08_SSH/",
        "__class": "Publication"
    },
    {
        "id": "freiler-2008-ste",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Set Type Enabled Information Visualization",
        "date": "2008-03",
        "abstract": "Information Visualization is a research area in the \feld of computer graphics that deals\r\nwith visual representations of abstract and usually multidimensional data. This data can\r\norigin from questionnaires, elections, measurements or simulations. Apart from specialized\r\ntools, that are made for a special purpose, there are general purpose tools, that can be\r\nused to analyze many kinds of di\u000berent data.\r\nThese tools are made to handle di\u000berent data types, like numeric or categorical values,\r\nsome also support more advanced data types, like time series data or hierarchical data. In\r\nthis document, the data type set will be introduced into the general purpose visualization\r\ntool ComVis. A set is a collection of multiple elements, that can also be empty. In many\r\ncases, a dimension with the data type set can replace multiple categorical dimensions\r\nand make data analysis and exploration more e\u000ecient and complex datasets easier to\r\nunderstand.\r\nThis work will not only explain, how to use sets to explore datasets, but also introduce a\r\nnew specialized view based on a histogram view, that is dedicated to the use of sets. Of\r\ncourse, most of the already existing views have been modi\fed to use sets, otherwise the\r\nnewly added data type would be di\u000ecult to use either. Especially views that can display\r\nmultiple dimensions were a challenge, because they allow the user to mix sets with other\r\ndata types. Apart from the use of sets in various views, some additional topics are covered\r\nin this document. The conversion of existing categorical data is a very important feature,\r\nas well as a fast and e\u000ecient data structure. The existing methods for user interaction like\r\nbrushing and linked coordinated views have to work as expected for all supported data\r\ntypes.\r\nA set should not be seen as a new arti\fcial data type, that we have to convert existing\r\ndata to, but as the natural data type in many applications. Instead of introducing another\r\nconversion step for our data, we can avoid converting data with multiple related attributes\r\nto a range of categorical dimensions. Using sets is also an e\u000ecient way of dimension\r\nreduction, and can reduce the complexity of a dataset, as well as the amount of views\r\nneeded for exploration.\r\nAdditionally, there are some examples on how to take advantage of sets when analyzing a\r\nreal-world dataset. Some special features of this dataset as well as some erroneous entries\r\nare easier to \fnd by using sets and views that support them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 865,
            "image_height": 567,
            "name": "freiler-2008-ste-image.jpg",
            "type": "image/jpeg",
            "size": 84464,
            "path": "Publication:freiler-2008-ste",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            758
        ],
        "diploma_examina": "2008-03-11",
        "supervisor": [
            176,
            235
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 865,
                "image_height": 567,
                "name": "freiler-2008-ste-image.jpg",
                "type": "image/jpeg",
                "size": 84464,
                "path": "Publication:freiler-2008-ste",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "freiler-2008-ste-paper.pdf",
                "type": "application/pdf",
                "size": 1741710,
                "path": "Publication:freiler-2008-ste",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/freiler-2008-ste-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/freiler-2008-ste/",
        "__class": "Publication"
    },
    {
        "id": "GEBHART-2008-AGV",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatisches Generieren von 3D-Straßensystemen",
        "date": "2008-03",
        "abstract": "In dieser Arbeit geht es um die Generierung von 3D Geometrie für große Straßensysteme.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            771
        ],
        "diploma_examina": "2008-03-26",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "3d street modeling"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/GEBHART-2008-AGV/",
        "__class": "Publication"
    },
    {
        "id": "weidlich_2007_rrbuc",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Rendering of Birefringency in Uniaxial Crystals",
        "date": "2008-03",
        "abstract": "In this paper we derive the complete set of formulas which is needed to generate physically plausible images of uniaxial crystals. So far no computer graphics publication contains all the formulas one needs to compute the interaction of light with such crystals in a form that is useable by a graphics application, especially if a polarisation-aware rendering system is being used.\r\n\r\nThis paper contains the complete derivation of the Fresnel coefficients for birefringent transparent materials, as well as for the direction cosines of the extraordinary ray and the Mueller matrices necessary to describe polarisation effects. The formulas we derive can be directly used in a ray based renderer, and we demonstrate these capabilities in test scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image of a bi-refringent calcite crystal",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 616,
            "image_height": 617,
            "name": "weidlich_2007_rrbuc-image.jpg",
            "type": "image/jpeg",
            "size": 98795,
            "path": "Publication:weidlich_2007_rrbuc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            567
        ],
        "number": "1",
        "pages_from": "6:1",
        "pages_to": "6:12",
        "volume": "27",
        "research_areas": [],
        "keywords": [
            "polarization",
            "crystals",
            "Birefringence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image of a bi-refringent calcite crystal",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 616,
                "image_height": 617,
                "name": "weidlich_2007_rrbuc-image.jpg",
                "type": "image/jpeg",
                "size": 98795,
                "path": "Publication:weidlich_2007_rrbuc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-image:thumb{{size}}.png"
            },
            {
                "description": "full journal paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weidlich_2007_rrbuc-paper.pdf",
                "type": "application/pdf",
                "size": 2057969,
                "path": "Publication:weidlich_2007_rrbuc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/weidlich_2007_rrbuc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weidlich_2007_rrbuc/",
        "__class": "Publication"
    },
    {
        "id": "altendorfer-2008-vts",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Void Tracking in SiC Particle Reinforced Al",
        "date": "2008-03",
        "abstract": "The expansion behavior of particulate reinforced AlSiC metal matrix composites (MMCs)\r\nduring a thermal cycle shows anomalies at temperatures above 250°C, explained by viscoplastic\r\nmatrix deformations and changing void volume fractions. Volumetric images of\r\nthe sample acquired by synchrotron tomography at several temperatures between 30°C\r\nand 400°C are used to analyze the void kinetics. These high-resolution low-contrast\r\n3D + T images are not aligned, thus only allowing quantitative comparisons over areas\r\ncomprising many voids. Analysis of speci\fc voids at various temperatures was not\r\nfeasible, due to the three-dimensional misalignment.\r\nWe present a 3D registration approach based on mutual information that allows for\r\nsub-pixel accurate registration. A maximum intensity projection (MIP) may be used\r\nfor a manual pre-alignment. Further software tools for the analysis of void kinetics\r\nof AlSiC provide linked views for 2D slices, 3D isosurfaces, volume rendering, as well\r\nas overlaid contours (isolines) of multiple images on an arbitrarily positionable cutting\r\nplane, and the calculation of a shape factor. By registering the volumetric datasets,\r\nwe were able to visualize the shrinkage and expansion of a speci\fc void during thermal\r\ncycling between room temperature and 400°C and to analyze the change of quantitative\r\nproperties of speci\fc voids{including volume, surface, shape factor|resulting from\r\ntemperature changes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 748,
            "image_height": 579,
            "name": "altendorfer-2008-vts-image.jpg",
            "type": "image/jpeg",
            "size": 286840,
            "path": "Publication:altendorfer-2008-vts",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            719
        ],
        "supervisor": [
            166,
            1331,
            1332
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 748,
                "image_height": 579,
                "name": "altendorfer-2008-vts-image.jpg",
                "type": "image/jpeg",
                "size": 286840,
                "path": "Publication:altendorfer-2008-vts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "altendorfer-2008-vts-paper.pdf",
                "type": "application/pdf",
                "size": 4367793,
                "path": "Publication:altendorfer-2008-vts",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/altendorfer-2008-vts-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/altendorfer-2008-vts/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2008-IIV",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Illustrative Volume Visualization",
        "date": "2008-03",
        "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a difficult and expensive task. In recent years, three-dimensional imaging has become a vital tool not only in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still require a mainly manual and time-consuming process.\n\nThis thesis is devoted to the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The concept of a direct volume illustration system is introduced for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow flexible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views are introduced.\n\nThe visualization techniques presented in this thesis employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientific communication.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Illustrative visualization results",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "bruckner-2008-IIV-Teaser.jpg",
            "type": "image/jpeg",
            "size": 566494,
            "path": "Publication:bruckner-2008-IIV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "date_end": "2008-03",
        "date_start": "2004-07",
        "rigorosum": "2008-04-11",
        "supervisor": [
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "volume rendering",
            "illustrative visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "High-resolution version for printing",
                "filetitle": "print version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2008-IIV-print version.pdf",
                "type": "application/pdf",
                "size": 77521619,
                "path": "Publication:bruckner-2008-IIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-print version:thumb{{size}}.png"
            },
            {
                "description": "Low-resolution version for screen viewing",
                "filetitle": "screen version",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2008-IIV-screen version.pdf",
                "type": "application/pdf",
                "size": 16108841,
                "path": "Publication:bruckner-2008-IIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-screen version:thumb{{size}}.png"
            },
            {
                "description": "Illustrative visualization results",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "bruckner-2008-IIV-Teaser.jpg",
                "type": "image/jpeg",
                "size": 566494,
                "path": "Publication:bruckner-2008-IIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/bruckner-2008-IIV-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bruckner-2008-IIV/",
        "__class": "Publication"
    },
    {
        "id": "schoellhuber-2008-asc",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Segmentation of Contrast Enhanced Cardiac MRI for Myocardial Perfusion Analysis",
        "date": "2008-03",
        "abstract": "Cardiovascular diseases are the major cause of death in the developed world. About\r\nhalf of these are due to ischemia heart diseases. The high death rate caused by\r\ncoronary artery diseases increases the need for preliminary detection. Perfusion\r\nmagnetic resonance imaging has turned out to be very promising for this purpose.\r\nA contrast agent is injected intravenously to visualize the perfusion. Due to the\r\nextremely time-consuming manual analysis of these relatively large datasets, efforts\r\nfor automatic approaches have been introduced. Most of these proposed methods\r\nfocus on parts of the analysis process. The present thesis identifies four steps for\r\nan automatic analysis approach: localization of the heart, suppression of motion\r\nartifacts, segmentation of the myocardium, and perfusion analysis.\r\nThis thesis presents a method covering all these subtasks in an automatic manner\r\nwith no need for any user interaction. First the acquired MR images are analyzed\r\nto roughly detect the heart. A registration step compensates motion artifacts based\r\non the breathing of the patient. The segmentation step provides the contour of the\r\nmyocardium at every time step. Based on these segmentations the perfusion is\r\nquantified.\r\nThis thesis gives a detailed description of the implementation. Furthermore\r\nthe algorithm was tested on 11 datasets. The obtained results are presented and\r\ndiscussed. Inspection of the results indicates that this method is very promising for\r\nan efficient perfusion analysis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1729,
            "image_height": 1139,
            "name": "schoellhuber-2008-asc-image.jpg",
            "type": "image/jpeg",
            "size": 483059,
            "path": "Publication:schoellhuber-2008-asc",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            726
        ],
        "supervisor": [
            498,
            231,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1729,
                "image_height": 1139,
                "name": "schoellhuber-2008-asc-image.jpg",
                "type": "image/jpeg",
                "size": 483059,
                "path": "Publication:schoellhuber-2008-asc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schoellhuber-2008-asc-paper.pdf",
                "type": "application/pdf",
                "size": 15530739,
                "path": "Publication:schoellhuber-2008-asc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/schoellhuber-2008-asc-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/schoellhuber-2008-asc/",
        "__class": "Publication"
    },
    {
        "id": "Singh-2008-Metric",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Load Simulation and Metrics Framework for Distributed Virtual Reality",
        "date": "2008-03",
        "abstract": "We describe a simple load-measure-model method for analyzing the\r\nscalability of Distributed Virtual Environments (DVEs). We use a\r\nload simulator and three metrics to measure a DVE’s engine with\r\nvarying numbers of simulated users. Our load simulator logs in as\r\na remote client and plays according to how users played during the\r\nconducted user study. Two quality of virtuality metrics, fidelity and\r\nconsistency, describe the user’s experience in the DVE. One engine\r\nperformance metric provides the cycle time of the engine’s primary\r\nloop. Simulation results (up to 420 users) are discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 692,
            "image_height": 469,
            "name": "Singh-2008-Metric-.jpg",
            "type": "image/jpeg",
            "size": 83975,
            "path": "Publication:Singh-2008-Metric",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            770,
            581,
            235
        ],
        "date_from": "2008-03-08",
        "date_to": "2008-03-12",
        "editor": "Reno, Nevada, USA",
        "event": "Virtual Reality Conference, 2008. VR ",
        "isbn": "978-1-4244-1971-5",
        "location": "Reno, Nevada    USA",
        "note": "Lecturer: Denis Gracanin",
        "pages_from": "287",
        "pages_to": "288",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 692,
                "image_height": 469,
                "name": "Singh-2008-Metric-.jpg",
                "type": "image/jpeg",
                "size": 83975,
                "path": "Publication:Singh-2008-Metric",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Singh-2008-Metric-paper.pdf",
                "type": "application/pdf",
                "size": 319718,
                "path": "Publication:Singh-2008-Metric",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/Singh-2008-Metric-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Singh-2008-Metric/",
        "__class": "Publication"
    },
    {
        "id": "suntinger-2008-tet",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Event Tunnel: Interactive Visualization of Complex Event Streams for Business Process Pattern Analysis",
        "date": "2008-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 371,
            "image_height": 367,
            "name": "suntinger-2008-tet-image.jpg",
            "type": "image/jpeg",
            "size": 80550,
            "path": "Publication:suntinger-2008-tet",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            665,
            666,
            667,
            166
        ],
        "booktitle": "IEEE PacificVIS ",
        "date_from": "2008-03-04",
        "date_to": "2008-03-07",
        "isbn": "978-1-4244-1966-1",
        "lecturer": [
            665
        ],
        "location": "Kyoto, Japan",
        "pages_from": "111",
        "pages_to": "118",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 371,
                "image_height": 367,
                "name": "suntinger-2008-tet-image.jpg",
                "type": "image/jpeg",
                "size": 80550,
                "path": "Publication:suntinger-2008-tet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "suntinger-2008-tet-pdf.pdf",
                "type": "application/pdf",
                "size": 1969717,
                "path": "Publication:suntinger-2008-tet",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/suntinger-2008-tet-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/suntinger-2008-tet/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2008-scmr",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Volumetric Bulls Eye Plot",
        "date": "2008-02",
        "abstract": "Introduction: The bull's eye plot is a commonly used schematic for the visualization of quantitative late enhancement cardiac MRI data. It gives an intuitive overview of the viability of the entire left ventricular myocardium in a single diagram. However, common implementations do not provide a continuous transition between slices and provide poor or no information about the exact location and transmurality of non-viable tissue.\r\nPurpose: We propose a novel visualization technique that relieves the drawbacks of the bull's eye plot but maintains its advantages. Our hypothesis is that our technique will enable a more accurate assessment of the relation between viable and non-viable myocardial tissue (scar).\r\nMethods: Short-axis late enhancement cardiac MRI acquisitions consist of 10-20 slices. We segment the left-ventricular myocardium in all slices using manually drawn contours on both the epicardium and the endocardium. The segmented myocardium is subsequently unfolded along the long axis and reformatted to form a thin cylinder (Figure 1a). In this process myocardial cross-sections are mapped to equidistant rings within this cylinder. The volumetric nature of the myocardium is preserved during the unfolding.\r\nA projection of the cylinder is generated using the technique of volume rendering (Figure 1b). The viewing direction in this projection is oriented from the apex towards the base of the ventricle. This makes the viewer perceive the endocardium to be behind the epicardium. This view is further augmented with the main coronary arteries extracted from a whole heart MRI scan (150 slices, SSFP). Furthermore, two dots indicating the points where the left and right-ventricular myocardial connect are added. A thin slab perpendicular to the long axis within the cylinder can be selected for exclusive rendering, providing a method of visualizing only epicardial or endocardial viability.\r\nTo investigate scar transmurality, the user can select a wedge-shaped region of interest. Figure 1c shows the transmurality of that region by projecting it from its side. The unfolding method is modified for this projection to compensate for distortions due to the shape of the selected region. Since the wall thickness may vary within the region of interest, lines indicating the minimum and maximum wall thickness in the selected region are displayed.\r\nResults: The long-axis projection provides a smooth overview of the viability due to the unfolding method that preserves the continuous, volumetric nature of the myocardium. This also causes the resolution of the diagram to increase when more slices are acquired. The additional context information (i.e., coronary arteries) allows for easier interpretation of the location of any scar. Due to the close relation to the bull's eye plot, we believe that clinical adoption will be easy. The transmurality view provides detailed information on the distribution of scar within the myocardium. The preservation of wall thickness allows for judgment of the location and extent of the scar in relation to healthy tissue.\r\nConclusion: Our novel volumetric bull's eye plot allows for a comprehensive assessment of viability and scar transmurality thanks to its continuous nature and the additional context information provided.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Volumetric Bulls Eye Plot",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 964,
            "image_height": 959,
            "name": "termeer-2008-scmr-image.png",
            "type": "image/png",
            "size": 404646,
            "path": "Publication:termeer-2008-scmr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606,
            647,
            679,
            459,
            575,
            166
        ],
        "booktitle": "Abstracts of the 11th Annual SCMR Scientific Sessions – 2008",
        "date_from": "2008-02-08",
        "date_to": "2008-02-10",
        "event": "SCMR 2008",
        "journal": "Journal of Cardiovascular Magnetic Resonance",
        "location": "Los Angeles, California",
        "pages_from": "199",
        "pages_to": "200",
        "series": "1",
        "volume": "11",
        "research_areas": [],
        "keywords": [
            "Viability",
            "Bulls Eye Plot",
            "Cardiac MRI"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "abstract",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2008-scmr-abstract.pdf",
                "type": "application/pdf",
                "size": 1409096,
                "path": "Publication:termeer-2008-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-abstract.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-abstract:thumb{{size}}.png"
            },
            {
                "description": "Volumetric Bulls Eye Plot",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 964,
                "image_height": 959,
                "name": "termeer-2008-scmr-image.png",
                "type": "image/png",
                "size": 404646,
                "path": "Publication:termeer-2008-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2008-scmr-poster.pdf",
                "type": "application/pdf",
                "size": 2309951,
                "path": "Publication:termeer-2008-scmr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/termeer-2008-scmr-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/termeer-2008-scmr/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The LiveSync Interaction Metaphor for Smart User-Intended Visualization",
        "date": "2008-01",
        "abstract": "The LiveSync interaction metaphor synchronizes the 2D slice view with the volumetric view to improve the efficiency of diagnosis in the clinical routine. The generation of a meaningful 3D visualization is desirable because often there is not enough contextual information provided by the slice views only. While it is easy to navigate through the slices, the interaction effort to adjust the parameters for the volumetric view is rather high. Some of the major time-consuming tasks are the localization of the feature of interest,\r\nthe setup of a good viewpoint, the removal of occluding structures via clipping geometries and the adjustment of the zoom factor. LiveSync extracts the needed information to set up all these parameters by a simple picking on a structure of interest in the slice view. In this paper we present substantial enhancements of the existing\r\nconcept. First, an efficient parametrization for the derived parameters is presented which allows hierarchical refinement of the search\r\nspace for good views. Second, the extraction of the feature of interest\r\nis performed in a way which is adapting to the volumetric extent of the feature. The properties of the extracted features are utilized to adjust a pre-defined transfer function in a feature-enhancing manner. Third, new interaction modes are presented which allow the integration of more knowledge about the user-intended visualization without increasing the interaction effort. Finally, a new clipping technique is integrated which guarantees an unoccluded view on the structure of interest while keeping important contextual information.",
        "authors_et_al": false,
        "substitute": "kohlmann-2008-lse",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 665,
            "name": "TR-186-2-08-01-image.jpg",
            "type": "image/jpeg",
            "size": 306233,
            "path": "Publication:TR-186-2-08-01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "number": "TR-186-2-08-01",
        "research_areas": [],
        "keywords": [
            "Smart Interaction",
            "Linked Views",
            "Medical Visualization",
            "Viewpoint Selection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 665,
                "name": "TR-186-2-08-01-image.jpg",
                "type": "image/jpeg",
                "size": 306233,
                "path": "Publication:TR-186-2-08-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "technical report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-01-technical report.pdf",
                "type": "application/pdf",
                "size": 10318206,
                "path": "Publication:TR-186-2-08-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/TR-186-2-08-01-technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-01/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-08-02",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Reconstruction from Non-uniform Point Sets",
        "date": "2008-01",
        "abstract": "We present a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in the functional approximation of 3D data. We adopt a variational approach for the reconstruction and rendering of 3D data. The principle idea is based on data fitting via thin-plate splines. An approximation by B-splines offers more compact support for fast reconstruction. We adopt this method for large datasets by introducing a block-based reconstruction approach. This makes this method practical for large data sets. Our reconstruction will be smooth across blocks. We give reconstruction measurements as error estimations based on different parameter settings and also an insight on the computational effort. We show that the block size used in reconstruction has a negligible effect on the reconstruction error. Finally we show rendering results to emphasize the quality of this 3D reconstruction technique.",
        "authors_et_al": false,
        "substitute": "vucini_2008_rnp",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 827,
            "image_height": 556,
            "name": "TR-186-2-08-02-image.png",
            "type": "image/png",
            "size": 351566,
            "path": "Publication:TR-186-2-08-02",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            196,
            166
        ],
        "number": "TR-186-2-08-02",
        "research_areas": [],
        "keywords": [
            "3D Object Modeling",
            "Non-uniform Reconstruction",
            "Variational Approximation",
            "B-splines"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 827,
                "image_height": 556,
                "name": "TR-186-2-08-02-image.png",
                "type": "image/png",
                "size": 351566,
                "path": "Publication:TR-186-2-08-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-08-02-paper.pdf",
                "type": "application/pdf",
                "size": 3889288,
                "path": "Publication:TR-186-2-08-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/TR-186-2-08-02-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/TR-186-2-08-02/",
        "__class": "Publication"
    },
    {
        "id": "trenkwalder-2008-landscape",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Procedural Landscape Generation and Rendering",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            604
        ],
        "matrikelnr": "0215339",
        "note": "trenki2@gmx.net",
        "supervisor": [
            680
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/trenkwalder-2008-landscape/",
        "__class": "Publication"
    },
    {
        "id": "weber_2008_sh",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spherical Harmonics",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            743
        ],
        "date_end": "2009-01",
        "date_start": "2008-09",
        "matrikelnr": "0526341",
        "supervisor": [
            567
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/weber_2008_sh/",
        "__class": "Publication"
    },
    {
        "id": "wien.at-tv_2008_kpl",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "kplus-Forschungszentrum vrvis",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            205
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 320,
                "preview_image_height": 240,
                "name": "wien.at-tv_2008_kpl-video.wmv",
                "type": "text/plain",
                "size": 5590945,
                "path": "Publication:wien.at-tv_2008_kpl",
                "preview_name": "wien.at-tv_2008_kpl-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5776,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/wien.at-tv_2008_kpl/wien.at-tv_2008_kpl-video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/wien.at-tv_2008_kpl/wien.at-tv_2008_kpl-video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/wien.at-tv_2008_kpl/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2008-ART",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advances in Real-Time Rendering",
        "date": "2008",
        "abstract": "This talk will give a brief summary of recent research activities in the field of real-time rendering conducted by the real-time rendering group at the Vienna University of Technology. Highlights are interactive procedural architecture, physically based tree animation and visibility culling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2008-09-15",
        "date_to": "2008-09-15",
        "event": "INRIA Research Seminar",
        "location": "INRIA, Grenoble, France",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/WIMMER-2008-ART/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2008-CAR",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Current Advances in Real-Time Rendering",
        "date": "2008",
        "abstract": "This talk will give a brief summary of recent research activities in the field of real-time rendering conducted by the real-time rendering group at the Vienna University of Technology. Highlights are interactive procedural architecture, physically based tree animation and visibility culling.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2008-07-07",
        "date_to": "2008-07-07",
        "event": "Graphics Lunch",
        "location": "ETH Zürich, Switzerland",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/WIMMER-2008-CAR/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2008-PVR",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Precomputing Visibility for Real-Time Rendering of Large Scenes",
        "date": "2008",
        "abstract": "Visibility computation is an essential part of any real-time rendering pipeline for large scenes. Visibility can either be precomputed offline, which is a good strategy for static scenes, or calculated at runtime, which avoids precomputation and works well for dynamic scenes. In this presentation, I will cover the latest advances in both of these principal directions. For visibility precomputation, we have shown that sampling is superior to full geometric approaches for practical applications, due to its efficiency and robustness. For online visibility culling, we show how to make the best possible use of hardware occlusion queries without introducing latency and overhead.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2008-05-30",
        "date_to": "2008-05-30",
        "event": "Graphical Visionday 2008",
        "location": "Kopenhagen, Denmark",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/WIMMER-2008-PVR/",
        "__class": "Publication"
    },
    {
        "id": "Radax2008",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Animation Library",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            721
        ],
        "supervisor": [
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Radax2008/",
        "__class": "Publication"
    },
    {
        "id": "Rau08",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2008",
        "date": "2008",
        "abstract": "THE X-MAS MOSAIC\n\nThe mosaic of a Christmas tree on the front was created using images from our publication database:\nhttp://www.cg.tuwien.ac.at/research/publications/\n\nThe mosaic on the backside of the card consists of the Christmas cards of the previous 15 years and of this year’s motif.\n\nDAS WEIHNACHTSMOSAIK\n\nDas Mosaik auf der Vorderseite zeigt einen Weihnachtsbaum, der aus Bildern unserer Publikationsdatenbank zusammengesetzt ist:\nhttp://www.cg.tuwien.ac.at/research/publications/\n\nDas Mosaik auf der Rückseite setzt sich aus den Weihnachtskarten der vergangenen 15 Jahre und aus dem diesjährigen Motiv zusammen.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "X-Mas Card 2008 Frontpage",
            "filetitle": "X-Mas Card 2008 Frontpage",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 729,
            "name": "Rau08-X-Mas Card 2008 Frontpage.jpg",
            "type": "image/jpeg",
            "size": 131308,
            "path": "Publication:Rau08",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": {
            "0": {
                "description": "The X-Mas Card",
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rau08-card.pdf",
                "type": "application/pdf",
                "size": 2077553,
                "path": "Publication:Rau08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-card:thumb{{size}}.png"
            },
            "2": {
                "description": "X-Mas Card 2008 Frontpage",
                "filetitle": "X-Mas Card 2008 Frontpage",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 729,
                "name": "Rau08-X-Mas Card 2008 Frontpage.jpg",
                "type": "image/jpeg",
                "size": 131308,
                "path": "Publication:Rau08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/Rau08-X-Mas Card 2008 Frontpage:thumb{{size}}.png"
            }
        },
        "projects_workgroups": [
            "vis",
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rau08/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2008-kav",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Abstractions and Interaction Metaphors for Knowledge Assisted Volume Visualization",
        "date": "2008",
        "abstract": "Extended abstract published at Knowledge-assisted Visualization Workshop (colocated with the IEEE Visualization 2008 conference): \r\n\r\nhttp://kav.cs.wright.edu/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1105,
            "image_height": 814,
            "name": "Rautek-2008-kav-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 2699278,
            "path": "Publication:Rautek-2008-kav",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1105,
                "image_height": 814,
                "name": "Rautek-2008-kav-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 2699278,
                "path": "Publication:Rautek-2008-kav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek-2008-kav-paper.pdf",
                "type": "application/pdf",
                "size": 763946,
                "path": "Publication:Rautek-2008-kav",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/Rautek-2008-kav-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-kav/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2008-VF",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization – New Technology or Useless Tautology?",
        "date": "2008",
        "abstract": "This article can be accessed online in the \nACM SIGGRAPH, Computer Graphics Quarterly, \nVolume 42, Number 3:\n\nhttp://www.siggraph.org/publications/newsletter/volume-42-number-3/illustrative-visualization-2013-new-technology-or-useless-tautology",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 265,
            "image_height": 135,
            "preview_image_width": 256,
            "preview_image_height": 127,
            "name": "Rautek-2008-VF-image.png",
            "type": "image/png",
            "size": 6939,
            "path": "Publication:Rautek-2008-VF",
            "preview_name": "Rautek-2008-VF-image:preview.png",
            "preview_type": "image/png",
            "preview_size": 7568,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166,
            171
        ],
        "note": "online journal, without talk",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 265,
                "image_height": 135,
                "preview_image_width": 256,
                "preview_image_height": 127,
                "name": "Rautek-2008-VF-image.png",
                "type": "image/png",
                "size": 6939,
                "path": "Publication:Rautek-2008-VF",
                "preview_name": "Rautek-2008-VF-image:preview.png",
                "preview_type": "image/png",
                "preview_size": 7568,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/Rautek-2008-VF-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Rautek-2008-VF/",
        "__class": "Publication"
    },
    {
        "id": "ruiz-2008-OVR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Obscurance-based Volume Rendering Framework",
        "date": "2008",
        "abstract": "Obscurances, from which ambient occlusion is a particular case, is a technology that produces natural-looking lighting effects in a faster way than global illumination. Its application in volume visualization is of special interest since it permits us to generate a high quality rendering at a low cost. In this paper, we propose an obscurance-based framework that allows us to obtain realistic and illustrative volume visualizations in an interactive manner. Obscurances can include color bleeding effects without additional cost. Moreover, we obtain a saliency map from the gradient of obscurances and we show its application to enhance volume visualization and to select the most salient views.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Obscurances-based Volume Rendering",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 720,
            "image_height": 600,
            "name": "ruiz-2008-OVR-Image.jpg",
            "type": "image/jpeg",
            "size": 61553,
            "path": "Publication:ruiz-2008-OVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            741,
            742,
            171,
            161,
            608,
            207
        ],
        "booktitle": "Proceedings of Volume Graphics 2008",
        "lecturer": [
            207
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "volume rendering",
            "illustrative visualization",
            "ambient occlusion"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Obscurances-based Volume Rendering",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 720,
                "image_height": 600,
                "name": "ruiz-2008-OVR-Image.jpg",
                "type": "image/jpeg",
                "size": 61553,
                "path": "Publication:ruiz-2008-OVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ruiz-2008-OVR-Paper.pdf",
                "type": "application/pdf",
                "size": 2216201,
                "path": "Publication:ruiz-2008-OVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/ruiz-2008-OVR-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-OVR/",
        "__class": "Publication"
    },
    {
        "id": "ruiz-2008-SEV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Similarity-based Exploded Views",
        "date": "2008",
        "abstract": "Exploded views are often used in illustration to overcome the problem of occlusion when depicting complex structures. In this paper, we propose a volume visualization technique inspired by exploded views that partitions the volume into a number of parallel slabs and shows them apart from each other. The thickness of slabs is driven by the similarity between partitions. We use an information-theoretic technique for the generation of exploded views. First, the algorithm identifies the viewpoint from which the structure is the highest. Then, the partition of the volume into the most informative slabs for exploding is obtained using two complementary similarity-based strategies. The number of slabs and the similarity parameter are freely adjustable by the user.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Similarity-Based Exploded View Rendering",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 593,
            "image_height": 629,
            "name": "ruiz-2008-SEV-Image.jpg",
            "type": "image/jpeg",
            "size": 54063,
            "path": "Publication:ruiz-2008-SEV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            741,
            171,
            742,
            161,
            608,
            207
        ],
        "booktitle": "Proceedings of Smart Graphics 2008",
        "lecturer": [
            608
        ],
        "pages_from": "154",
        "pages_to": "165",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "volume visualization",
            "illustrative visualization",
            "exploded views"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Similarity-Based Exploded View Rendering",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 593,
                "image_height": 629,
                "name": "ruiz-2008-SEV-Image.jpg",
                "type": "image/jpeg",
                "size": 54063,
                "path": "Publication:ruiz-2008-SEV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ruiz-2008-SEV-Paper.pdf",
                "type": "application/pdf",
                "size": 840611,
                "path": "Publication:ruiz-2008-SEV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/ruiz-2008-SEV-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/",
        "__class": "Publication"
    },
    {
        "id": "Grasberger_08_VV",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Versioning",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Visual Versioning in action",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 812,
            "image_height": 625,
            "name": "Grasberger_08_VV-image.png",
            "type": "image/png",
            "size": 50702,
            "path": "Publication:Grasberger_08_VV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            718
        ],
        "matrikelnr": "0325080",
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Collada",
            "Versioning",
            "Visual"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visual Versioning in action",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 812,
                "image_height": 625,
                "name": "Grasberger_08_VV-image.png",
                "type": "image/png",
                "size": 50702,
                "path": "Publication:Grasberger_08_VV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/Grasberger_08_VV-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_08_VV/",
        "__class": "Publication"
    },
    {
        "id": "Grasberger_2008_ISR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Introduction to Stereo Rendering",
        "date": "2008",
        "abstract": "In this paper we describe different techniques of rendering\r\nstereo scenes in real-time. We discuss the physical\r\nproperties of the given stereo setup and revise some basics\r\nknowledge needed for generating the stereo pairs. After\r\nthat we discuss several techniques for rendering stereo\r\npairs according to correctness. We explain certain effects\r\nand their appearance in a stereo rendered scene. Finally\r\nwe explain how stereo rendering works with OpenGL",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Grasberger_2008_ISR-image.png",
            "type": "image/png",
            "size": 875596,
            "path": "Publication:Grasberger_2008_ISR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            718
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Shader Effects",
            "Stereo Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Grasberger_2008_ISR-image.png",
                "type": "image/png",
                "size": 875596,
                "path": "Publication:Grasberger_2008_ISR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-image:thumb{{size}}.png"
            },
            {
                "description": "Introduction to Stereo Rendering",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Grasberger_2008_ISR-Paper.pdf",
                "type": "application/pdf",
                "size": 7196294,
                "path": "Publication:Grasberger_2008_ISR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/Grasberger_2008_ISR-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Grasberger_2008_ISR/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-att2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung -- aktuelle Themen und Trends",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-06-17",
        "event": "Kolloquium an der Donau-Universität Krems",
        "location": "Krems, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-att2/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-How",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "How to do a Successful PhD (in Visualization)",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-05-15",
        "event": "Seminar of the Research School in Information and Communication Technology, University of Bergen",
        "location": "Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Slides",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-2008-How-Slides.pptx",
                "type": "application/zip",
                "size": 10067253,
                "path": "Publication:groeller-2008-How",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-How/groeller-2008-How-Slides.pptx",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-How/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-hsp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "How to do a Successful PhD (in Visualization)",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-05-15",
        "event": "Seminar of the Research School in Information and Communication Technology",
        "location": "University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-hsp/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-irs",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Rendering with Style",
        "date": "2008",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-01-25",
        "event": "Kolloquium an der Technisch-Naturwissenschaftlichen Fakultät",
        "location": "Johannes Kepler Universität Linz, Austria",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-irs/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-kav2",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge-Assisted Visualization",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-10-20",
        "event": "Colloquium - Department of Computer Science and Engineering",
        "location": "Arizona State University",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-kav2/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-kav3",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge-Assisted Visualization",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-11-06",
        "event": "Department Seminar at the Department of Informatics",
        "location": "University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-kav3/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-kav4",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge-Assisted Visualization",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-09-04",
        "event": "18th Congreso EspÃ±ol de Informática Gráfica (CEIG 2008)",
        "location": "Barcelona, Spain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-kav4/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2008-lsy",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiveSync: An Interactive Metaphor for Knowledge-Based Navigation in Medical Visualization",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2008-05-16",
        "event": "MedViz Seminar",
        "location": "University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/groeller-2008-lsy/",
        "__class": "Publication"
    },
    {
        "id": "Gronde_2008",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Compressed Sensing Overview",
        "date": "2008",
        "abstract": "Compressed sensing (or Compressive sampling) tries to exploit the sparsity of signals to either improve\r\nthe quality of reconstructions, or reduce the required number of samples.\r\nThe samples are usually taken by multiplication with some matrix with independent — normally\r\ndistributed — random values, or by selecting values from the Fourier transform of a signal. Important\r\nis that the signal should not be sparse in the transformed domain. How many samples need to be\r\ntaken depend on the characteristics of the matrix and the signal.\r\nSeveral introductory texts, as well as a lot of reference material, can be found on\r\nhttp://www.dsp.ece.rice.edu/cs/.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1085,
            "image_height": 777,
            "name": "Gronde_2008-image.jpg",
            "type": "image/jpeg",
            "size": 207822,
            "path": "Publication:Gronde_2008",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            906
        ],
        "supervisor": [
            636
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1085,
                "image_height": 777,
                "name": "Gronde_2008-image.jpg",
                "type": "image/jpeg",
                "size": 207822,
                "path": "Publication:Gronde_2008",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "report",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gronde_2008-report.pdf",
                "type": "application/pdf",
                "size": 3428048,
                "path": "Publication:Gronde_2008",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/Gronde_2008-report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Gronde_2008/",
        "__class": "Publication"
    },
    {
        "id": "ilcik-2008-sgfa",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Semi-Global Approach to Interactive Visual Analysis of Multivariate Flow Simulation Data",
        "date": "2008",
        "abstract": "We introduce a framework for interactive visualization of global flow features in large unsteady 3D flow fields. It is based on selective visualization using dense precomputed integral lines (streamlines, path lines) linked together with all other data attributes. This way we are able to provide an uniform and interactive environment for custom feature specification and visualization of non-local data aspects. These are related to the long term flow behavior, thus their description using only local properties is not possible. We demonstrate the benefits of working with semi-global features by a simple strategy for recognition of recirculation zones within 3D vector fields, judging on a self-proximity measure of integral lines.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Illustration of local and global features combination.",
            "filetitle": "teaserimage",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2200,
            "image_height": 750,
            "name": "ilcik-2008-sgfa-teaserimage.jpg",
            "type": "image/jpeg",
            "size": 284967,
            "path": "Publication:ilcik-2008-sgfa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1303
        ],
        "issn": "1811-8992",
        "journal": "Computer Graphics & Geometry",
        "number": "3",
        "pages_from": "18",
        "pages_to": "35",
        "volume": "10",
        "research_areas": [],
        "keywords": [
            "global features",
            "integral lines",
            "flow visualization",
            "recirculation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visualization with help of integral lines selected by a recirculation criterion. The color represents temperature.",
                "filetitle": "image01",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 868,
                "image_height": 673,
                "name": "ilcik-2008-sgfa-image01.jpg",
                "type": "image/jpeg",
                "size": 144479,
                "path": "Publication:ilcik-2008-sgfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image01.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image01:thumb{{size}}.png"
            },
            {
                "description": "A comparison of visual analysis layers: Direct, local and global. Color represents velocity magnitude.",
                "filetitle": "image02",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 3410,
                "image_height": 899,
                "name": "ilcik-2008-sgfa-image02.jpg",
                "type": "image/jpeg",
                "size": 472857,
                "path": "Publication:ilcik-2008-sgfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image02.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-image02:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ilcik-2008-sgfa-paper.zip",
                "type": "application/x-zip",
                "size": 4448771,
                "path": "Publication:ilcik-2008-sgfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-paper.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Illustration of local and global features combination.",
                "filetitle": "teaserimage",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2200,
                "image_height": 750,
                "name": "ilcik-2008-sgfa-teaserimage.jpg",
                "type": "image/jpeg",
                "size": 284967,
                "path": "Publication:ilcik-2008-sgfa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/ilcik-2008-sgfa-teaserimage:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/ilcik-2008-sgfa/",
        "__class": "Publication"
    },
    {
        "id": "kment_2008_cc",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparing Colour Constancy Algorithms",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            744
        ],
        "date_end": "2008-11",
        "date_start": "2008-09",
        "matrikelnr": "0109724",
        "supervisor": [
            567
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/kment_2008_cc/",
        "__class": "Publication"
    },
    {
        "id": "Kogelnig_Philip-2008-OGC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "OgreCollada",
        "date": "2008",
        "abstract": "The COLLADA scene file format has been integrated into the OGRE graphics engine.\r\nThe OGRE add-on supports geometry, materials and animation.\r\n\r\nThe full source code can be downloaded from the official OGRE add-ons CVS repository at:\r\n\r\nhttp://sourceforge.net/projects/ogre/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "OgreCollada",
            "filetitle": "OgreCollada",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Kogelnig_Philip-2008-OGC-OgreCollada.JPG",
            "type": "image/jpeg",
            "size": 92724,
            "path": "Publication:Kogelnig_Philip-2008-OGC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kogelnig_Philip-2008-OGC/Kogelnig_Philip-2008-OGC-OgreCollada.JPG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kogelnig_Philip-2008-OGC/Kogelnig_Philip-2008-OGC-OgreCollada:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            717
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Ogre",
            "COLLADA"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "OgreCollada",
                "filetitle": "OgreCollada",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Kogelnig_Philip-2008-OGC-OgreCollada.JPG",
                "type": "image/jpeg",
                "size": 92724,
                "path": "Publication:Kogelnig_Philip-2008-OGC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kogelnig_Philip-2008-OGC/Kogelnig_Philip-2008-OGC-OgreCollada.JPG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kogelnig_Philip-2008-OGC/Kogelnig_Philip-2008-OGC-OgreCollada:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Kogelnig_Philip-2008-OGC/",
        "__class": "Publication"
    },
    {
        "id": "luksch_2008_asm",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pixel Accurate Shadows with Shadow Mapping",
        "date": "2008",
        "abstract": "High quality shadows generated by shadow mapping is still an\r\nextensive problem in realtime rendering. This work summarizes\r\nsome state-of-the-art techniques to achieve pixel accurate shadows\r\nand points out the various problems of generating artifact free shadows. Further a demo application has been implemented to compare the different techniques and experiment with alternative approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "shadows in terrain scene",
            "filetitle": "terrain",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 1024,
            "name": "luksch_2008_asm-terrain.png",
            "type": "image/png",
            "size": 701972,
            "path": "Publication:luksch_2008_asm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-terrain.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-terrain:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659
        ],
        "duration": "6 months",
        "matrikelnr": "0525392",
        "note": "1",
        "supervisor": [
            326
        ],
        "research_areas": [],
        "keywords": [
            "shadow mapping",
            "real time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "http://stud4.tuwien.ac.at/~e0525392/shadow/shadow.html",
                "filetitle": "application",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "luksch_2008_asm-application.rar",
                "type": "application/x-rar",
                "size": 36010481,
                "path": "Publication:luksch_2008_asm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-application.rar",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "powerplant",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 1024,
                "name": "luksch_2008_asm-powerplant.png",
                "type": "image/png",
                "size": 1240215,
                "path": "Publication:luksch_2008_asm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-powerplant.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-powerplant:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "powerplant2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1280,
                "image_height": 1024,
                "name": "luksch_2008_asm-powerplant2.png",
                "type": "image/png",
                "size": 464337,
                "path": "Publication:luksch_2008_asm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-powerplant2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-powerplant2:thumb{{size}}.png"
            },
            {
                "description": "shadows in terrain scene",
                "filetitle": "terrain",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 1024,
                "name": "luksch_2008_asm-terrain.png",
                "type": "image/png",
                "size": 701972,
                "path": "Publication:luksch_2008_asm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-terrain.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/luksch_2008_asm-terrain:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/luksch_2008_asm/",
        "__class": "Publication"
    },
    {
        "id": "Ahmed-2008-EGVE",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Approach to Interaction Interoperability for Distributed Virtual Environments",
        "date": "2008",
        "abstract": "We present a preliminary framework for interaction interoperability in distributed virtual environments. The goal\r\nis to allow each user to use a different input devices and interaction techniques and yet collaborate seamlessly. The\r\nframework adopts a service oriented architecture and use a knowledge base in the form of three ontologies. The\r\nontologies use Web Ontology Language (OWL) to describe input devices, interaction techniques and interaction\r\ntasks. In addition, two directories contain application and user profiles. An inference engine searches for the\r\nbest possible combination of input devices, interaction techniques and tasks. The resulting user’s mapping file\r\nis then accessed using the framework distributed web service. Two proof-of-concept framework implementations\r\ndemonstrate how to develop a new application and how to support a legacy application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 743,
            "image_height": 639,
            "name": "Ahmed-2008-EGVE-image.png",
            "type": "image/png",
            "size": 266833,
            "path": "Publication:Ahmed-2008-EGVE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            767,
            581,
            768,
            235
        ],
        "booktitle": "Short papers and posters proceedings of the EGVE 2008",
        "date_from": "2008-05-29",
        "date_to": "2008-05-30",
        "event": "Virtual Environments 2008",
        "location": "Eindhoven, Holland",
        "pages_from": "35",
        "pages_to": "38",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 743,
                "image_height": 639,
                "name": "Ahmed-2008-EGVE-image.png",
                "type": "image/png",
                "size": 266833,
                "path": "Publication:Ahmed-2008-EGVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ahmed-2008-EGVE-paper.pdf",
                "type": "application/pdf",
                "size": 821904,
                "path": "Publication:Ahmed-2008-EGVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/Ahmed-2008-EGVE-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Ahmed-2008-EGVE/",
        "__class": "Publication"
    },
    {
        "id": "bagar_2008",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Soft Shadow Maps with Smoothies",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            724
        ],
        "supervisor": [
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/bagar_2008/",
        "__class": "Publication"
    },
    {
        "id": "Bogner-2008-MTh",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Segmentation of Huge Unprocessed Point Clouds",
        "date": "2008",
        "abstract": "Topic of the Theses is the segmentation of unprocessed point clouds, as\ndelivered by 3D laser scanners. The first step in the proposed approach\nis estimating the normal vector for each point,   while “grouping”\npoints close to each other with similar normal vectors. This is followed\nby a search for geometric primitives (like planes or spheres) using a\nRANSAC approach, and possible a merging step combining adjacent\nprimitives. Finally all points still unlabelled are grouped by\nsimilarity in their features (like position, colour, deviation of the\nnormal vector to the neighbours’ normal vectors,…).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            763
        ],
        "date_start": "2008-05-19",
        "matrikelnr": "0201854",
        "supervisor": [
            614,
            193
        ],
        "research_areas": [],
        "keywords": [
            "laser scanning",
            "point processing",
            "segmentation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Bogner-2008-MTh/",
        "__class": "Publication"
    },
    {
        "id": "Brandorff-08-OV",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "OntoVis - Illumination correction of histological cut imagery for ontology data",
        "date": "2008",
        "abstract": "The \"Center for Anatomy and Cell Biology\" (2), a department of the Medical University of Vienna, developed a technique to generate series of exactly aligned images of biomedical specimens. This technique is used to study the impact of different genes during morphogenesis. However this technique, also introduces artefacts which make it hard to use automatic or semi automatic segmentation algorithms. The topic of this internship was to reduce the artefacts in the images. In this work we concentrated on the artefact resulting from the uneven illumination.\r\n\r\nDocumentation: \r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/CBrandorff/OntoVis.htm",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            629
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Brandorff-08-OV/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2008-Bergen",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Steering – Our Experiences",
        "date": "2008",
        "abstract": "Interactive steering with visualization has\r\nbeen a central goal of the international visualization\r\nresearch community for twenty\r\nyears. Still, we rarely ever see it applied to\r\nreal-world problems. Here we describe our\r\nrecent experiences with a realization of a\r\ntightly coupled steering loop, integrating\r\nsimulation and interactive visual analysis in a\r\nprototyping environment for automotive\r\nindustry system design. Very positive feedback\r\nfrom domain experts proves the usefulness\r\nof the approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235
        ],
        "date_from": "2008-05-05",
        "event": "Visualization Seminar",
        "location": "Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-Bergen/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2008-med",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": " Interactive visual Analysis-Potential Aplications in Medicine",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235
        ],
        "date_from": "2008-02-22",
        "date_to": "2008-02-23",
        "event": "1st International Congress of Hemodynamic Monitoring",
        "location": "Zagreb Croatia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Matkovic-2008-med/",
        "__class": "Publication"
    },
    {
        "id": "Miklin-2009-Mig",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Migrant Boat Mini Challenge Award: Simple and Effective Integrated Display Geo-Temporal Analysis of Migrant Boats",
        "date": "2008",
        "abstract": "We provide a description of the tools and techniques used in our\r\nanalysis of the VAST 2008 Challenge dealing with mass movement\r\nof persons departing Isla Del Sue˜no on boats for the United\r\nStates during 2005–2007. We used visual analytics to explore migration\r\npatterns, characterize the choice and evolution of landing\r\nsites, characterize the geographical patterns of interdictions and\r\ndetermine the successful landing rate. Our ComVis tool, in connection\r\nwith some helper applications and Google Earth, allowed us to explore geo-temporal characteristics of the data set and answer the challenge questions. The ComVis project file captures the visual analysis context and facilitates better collaboration among team members.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 625,
            "name": "Miklin-2009-Mig-image.jpg",
            "type": "image/jpeg",
            "size": 53188,
            "path": "Publication:Miklin-2009-Mig",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            754,
            755,
            756,
            757,
            758,
            235,
            581
        ],
        "booktitle": "Proceedings of IEEE VAST 2008 Symposium",
        "date_from": "2008-10-19",
        "date_to": "2008-10-24",
        "location": "Columbus, Ohio",
        "research_areas": [],
        "keywords": [
            "geo-temporal data",
            "visual analytics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 625,
                "name": "Miklin-2009-Mig-image.jpg",
                "type": "image/jpeg",
                "size": 53188,
                "path": "Publication:Miklin-2009-Mig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Miklin-2009-Mig-paper.pdf",
                "type": "application/pdf",
                "size": 630785,
                "path": "Publication:Miklin-2009-Mig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/Miklin-2009-Mig-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/Miklin-2009-Mig/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2008-cgi",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization of Volume Data",
        "date": "2008",
        "abstract": "Illustrations are essential for the effective communication of complex subjects. Their production, however, is a dicult and expensive task. In recent years, three-dimensional imaging has become a vital tool not\nonly in medical diagnosis and treatment planning, but also in many technical disciplines (e.g., material inspection), biology, and archeology. Modalities such as X-Ray Computed Tomography (CT) and Magnetic\nResonance Imaging (MRI) produce high-resolution volumetric scans on a daily basis. It seems counter-intuitive that even though such a wealth of data is available, the production of an illustration should still\nrequire a mainly manual and time-consuming process.\n\nThis talk describes methods for the computer-assisted generation of illustrations directly from volumetric data using advanced visualization techniques. The use of a direct volume illustration system is shown for this purpose. Instead of requiring an additional modeling step, this system allows the designer of an illustration to work directly on the measured data. Abstraction, a key component of traditional illustrations, is used in order to reduce visual clutter, emphasize important structures, and reveal hidden detail. Low-level abstraction techniques are concerned with the appearance of objects and allow exible artistic shading of structures in volumetric data sets. High-level abstraction techniques control which objects are visible. For this purpose, novel methods for the generation of ghosted and exploded views\nare explained.\n\nThe visualization techniques presented in this talk were developed and implemented by Stefan Bruckner and employ the features of current graphics hardware to achieve interactive performance. The resulting system allows the generation of expressive illustrations directly from volumetric data with applications in medical training, patient education, and scientic communication.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2008-06-10",
        "event": "CGI - Computer Graphics International",
        "location": "Istanbul, Turkey",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "illustrative visualization"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/purgathofer-2008-cgi/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2008-jsc",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Speedup Concepts for \u000bRealtime Computer Graphics",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2008-11-17",
        "event": "JSC08",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/purgathofer-2008-jsc/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2008-tai",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Reality - Basics and Technology",
        "date": "2008",
        "abstract": "The talk will give an overview of Augmented Reality. In contrast to Virtual Reality which immerses the user into a completely artificial world, Augmented Reality leaves the user in the real world, thereby adding or enhancing details for some purpose. Applications are in medicine, in industrial maintenance, in navigation, in museums, and many more. Hardware devices used include see-through head mounted displays and augmented video signals, always including some sort of tracking of the user. The user interface design requires new techniques and variants. Augmented Reality enables collaborative work of people either at the same or at distant locations. Mobile Augmented Reality is based on advanced communication technology and lightweight devices. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2008-05-31",
        "event": "AR-Conference",
        "location": "Kaoshung, Taiwan",
        "research_areas": [],
        "keywords": [
            "augmented reality"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/purgathofer-2008-tai/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2008-vrvis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Was tut eigentlich ein Universitätsprofessor?",
        "date": "2008",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2008-02-21",
        "event": "VRVis Forum",
        "location": "VRVis, Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2008/purgathofer-2008-vrvis/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-12",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Variance Comparison for Volumetric Industrial CT Data",
        "date": "2007-12",
        "abstract": "This paper proposes a novel technique for the direct comparison of a surface model with the corresponding industrial CT volume. We do not require the generation of a mesh from the CT scan and instead perform comparison directly with the raw volume dataset. Our technique uses the information from the   surface model to locate corresponding points in the CT dataset. We then compute various comparison metrics to perform distance analysis and normal analysis. The metrics are presented to the user both visually as well as quantitatively. The comparison techniques are divided into two groups namely global comparison techniques and local comparison techniques. The global techniques color code the datasets to provide an overview, while the local techniques can be used for a localized examination and for determining precise information about the deviation between datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 313,
            "image_height": 313,
            "name": "TR-186-2-07-12-image.PNG",
            "type": "image/png",
            "size": 130027,
            "path": "Publication:TR-186-2-07-12",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            611,
            166
        ],
        "number": "TR-186-2-07-12",
        "research_areas": [],
        "keywords": [
            "Comparison",
            "Variance"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 313,
                "image_height": 313,
                "name": "TR-186-2-07-12-image.PNG",
                "type": "image/png",
                "size": 130027,
                "path": "Publication:TR-186-2-07-12",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-12-paper.pdf",
                "type": "application/pdf",
                "size": 10723653,
                "path": "Publication:TR-186-2-07-12",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/TR-186-2-07-12-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-12/",
        "__class": "Publication"
    },
    {
        "id": "weidlich_2007_almfs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Arbitrarily Layered Micro-Facet Surfaces",
        "date": "2007-12",
        "abstract": "In this paper we present a method to combine several micro-facet based surface layers into a single unified, expressive BRDF model that is easy to use. The restriction to micro-facet based layers constitutes no loss of generality, since both perfectly specular and perfectly diffuse surfaces can be seen as limit cases of the micro-facet approach.\r\n\r\nSuch multi-layered surfaces can be used to re-create the appearance of a wide range of different materials, and yield good results without having to perform explicit sub–surface scattering computations. This is achieved through suitable approximations and simplifications of the scattering within the simulated layered surface, while still taking absorption and total internal reflection into account. We also discuss the corresponding probability distribution function that is needed for sampling purposes, and investigate how the flexibility of this new approach is best put to use. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Sample object that uses several of the surface models described in the paper",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 460,
            "image_height": 430,
            "name": "weidlich_2007_almfs-image.jpg",
            "type": "image/jpeg",
            "size": 39058,
            "path": "Publication:weidlich_2007_almfs",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            567,
            192
        ],
        "booktitle": "GRAPHITE 2007",
        "isbn": "978-1-59593-912-8",
        "lecturer": [
            567
        ],
        "location": "Perth, Australia",
        "pages_from": "171",
        "pages_to": "178",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Sample object that uses several of the surface models described in the paper",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 460,
                "image_height": 430,
                "name": "weidlich_2007_almfs-image.jpg",
                "type": "image/jpeg",
                "size": 39058,
                "path": "Publication:weidlich_2007_almfs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-image:thumb{{size}}.png"
            },
            {
                "description": "Full conference paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "weidlich_2007_almfs-paper.pdf",
                "type": "application/pdf",
                "size": 2314063,
                "path": "Publication:weidlich_2007_almfs",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/weidlich_2007_almfs-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/weidlich_2007_almfs/",
        "__class": "Publication"
    },
    {
        "id": "leopold-2007",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Forschungsprojekt Leopoldsberg",
        "date": "2007-11-16",
        "abstract": "Das interdisziplinäre Forschungsprojekt \"Leopold\" beschäftigt sich mit der Vergangenheit des Leopoldsberges und will diese für Besucher des beliebten Ausflugsziels begreifbar machen.\r\nWolfgang Neubauer, Interdisziplinäres Forschungsinstitut für Archäologie: \"Wir versuchen also, die Attraktivität des Leopoldsberges als berühmtes Ausflugsziel in Wien zu steigern, indem wir ausgehen von der Geschichte des Berges, also von unseren archäologischen Ausgrabungen beginnend, über die ganze Entwicklung durch die Zeit, über die Türkenschlachten et cetera. Hier, durch Geräte, die es dem Besucher ermöglichen, eine Reise zurück in die Zeit zu machen, eine ganz überraschende Reise, hier weitere Punkte zu setzen, die Leute anziehen, dieses tolle Aussichtsziel da oben zu besuchen.\"\r\nZiel des Projektes ist es, die Ausflügler mit verschiedenen Installationen in frühere Zeiten zu versetzen.\r\nWolfgang Neubauer, Interdisziplinäres Forschungsinstitut für Archäologie: \"Das wird ein Fernrohr sein, mit dem wir sowohl in die Landschaft als auch in die Vergangenheit blicken können. Das wird ein Picknickkorb sein, der einen über diesen Berg führt, der an bestimmten Punkten Geschichten erzählt, Dinge von sich gibt. Der aber auch weiß, was er in sich selber beinhaltet, und diese Produkte, die dort zur Verfügung stehen, werden ebenfalls Geschichten erzählen. Und es wird sein eine Art Schönheitssalon oder Friseursalon, wo die Menschen, die Besucher zurückgeführt werden über Zeiten, über bestimmte Objekte, die eigentlich heute nicht mehr wirklich bekannt sind - sowohl in ihrem Aussehen als auch nicht in ihrer Funktion.\"\r\nWerner Purgathofer, TU Wien: \"Der Reiz des Projektes ist es eben, dass wir Benutzerschnittstellen erfinden, die intuitiv sind. Intuitiv heißt, der Benutzer kommt hin, hat bestenfalls eine einzeilige Anleitung, was er zu tun hat und er versteht, wie er mit den Objekten, die er da präsentiert bekommt, umgehen kann.\"\r\nDie geschichtlichen Ereignisse werden interaktiv erlebbar und sprechen alle fünf Sinne an. Daraus ergibt sich auch ein wichtiger Teil der Finanzierung des Projektes.\r\nWerner Purgathofer, TU Wien: \"Der WWTF macht regelmäßig Ausschreibungen für verschiedene Themen. In diesem Fall war das Thema \"Die fünf Sinne\". Und da hatten wir das Glück, dass wir eine Förderung bekommen haben, ohne die das Projekt in der Form sicher nicht statt gefunden hätte.\"",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 320,
            "image_height": 240,
            "name": "leopold-2007-.png",
            "type": "image/png",
            "size": 231079,
            "path": "Publication:leopold-2007",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "channel": "wien.at",
        "duration": "2:26",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 320,
                "image_height": 240,
                "name": "leopold-2007-.png",
                "type": "image/png",
                "size": 231079,
                "path": "Publication:leopold-2007",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-:thumb{{size}}.png"
            },
            {
                "description": "5.3 MB",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 320,
                "preview_image_height": 240,
                "name": "leopold-2007-Video.wmv",
                "type": "video/wmv",
                "size": 5468833,
                "path": "Publication:leopold-2007",
                "preview_name": "leopold-2007-Video:preview.png",
                "preview_type": "image/png",
                "preview_size": 231079,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-Video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/leopold-2007-Video:video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/leopold-2007/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-2007-sem",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT",
        "date": "2007-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1054,
            "image_height": 1095,
            "name": "heinzl-2007-sem-.png",
            "type": "image/png",
            "size": 806035,
            "path": "Publication:heinzl-2007-sem",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            613,
            166
        ],
        "date_from": "2007-10-28",
        "date_to": "2007-11-01",
        "event": "IEEE Visualization",
        "issn": "1077-2626 ",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "lecturer": [
            611
        ],
        "location": "Sacramento, USA",
        "number": "6",
        "pages_from": "1520",
        "pages_to": "1527",
        "volume": "13",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1054,
                "image_height": 1095,
                "name": "heinzl-2007-sem-.png",
                "type": "image/png",
                "size": 806035,
                "path": "Publication:heinzl-2007-sem",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "heinzl-2007-sem-paper.pdf",
                "type": "application/pdf",
                "size": 6394292,
                "path": "Publication:heinzl-2007-sem",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/heinzl-2007-sem-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/heinzl-2007-sem/",
        "__class": "Publication"
    },
    {
        "id": "knecht-2007-ao",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "State of the Art Report on Ambient Occlusion",
        "date": "2007-11",
        "abstract": "Ambient occlusion is a shading method which takes light occluded\nby geometry into account. Since this technique needs to integrate\nover a hemisphere it was first only used in offline rendering tools.\nHowever, the increasing resources of modern graphics hardware,\nenable us to render ambient occlusion in realtime. The goal of this\nreport is to describe the most popular techniques with respect to\nrealtime rendering. First we introduce how ambient occlusion is\ndefined and then we will explain and categorize the presented techniques.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            736
        ],
        "number": "TR-186-2-07-13",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "ambient occlusion",
            " global illumination",
            "real time"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knecht-2007-ao-paper.pdf",
                "type": "application/pdf",
                "size": 3440621,
                "path": "Publication:knecht-2007-ao",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/knecht-2007-ao/knecht-2007-ao-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/knecht-2007-ao/knecht-2007-ao-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/knecht-2007-ao/",
        "__class": "Publication"
    },
    {
        "id": "patel_daniel_2007_IRSD",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Rendering of Seismic Data",
        "date": "2007-11",
        "abstract": "In our work we present techniques for illustrative rendering of interpreted seismic volume data by adopting elements from geology book illustrations. We also introduce combined visualization techniques of interpreted and uninterpreted data for validation, comparison and interdisciplinary communication reasons. We introduce the concept of smooth transitions between these two semantical levels. To achieve this we present transfer functions that map seismic volume attributes to 2D textures that flow according to a deformation volume describing the buckling and discontinuities of the layers of the seismic data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1436,
            "image_height": 644,
            "name": "patel_daniel_2007_IRSD-.jpg",
            "type": "image/jpeg",
            "size": 344126,
            "path": "Publication:patel_daniel_2007_IRSD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            668,
            669,
            166
        ],
        "booktitle": "Proceeding of Vision Modeling and Visualization 2007",
        "date_from": "2007-11-07",
        "date_to": "2007-11-09",
        "editor": "Hendrik. Lensch, Bodo Rosenhahn, H.P. Seidel",
        "journal": "Vision, Modelling and Visualization",
        "lecturer": [
            616
        ],
        "location": "Saarbrücken, Germany",
        "pages_from": "13",
        "pages_to": "22",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1436,
                "image_height": 644,
                "name": "patel_daniel_2007_IRSD-.jpg",
                "type": "image/jpeg",
                "size": 344126,
                "path": "Publication:patel_daniel_2007_IRSD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Ill. rendering if seismic data",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1436,
                "image_height": 644,
                "name": "patel_daniel_2007_IRSD-Ill. rendering if seismic data.jpg",
                "type": "image/jpeg",
                "size": 344126,
                "path": "Publication:patel_daniel_2007_IRSD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Ill. rendering if seismic data.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Ill. rendering if seismic data:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Illustrative rendering",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1436,
                "image_height": 644,
                "name": "patel_daniel_2007_IRSD-Illustrative rendering.png",
                "type": "image/png",
                "size": 576188,
                "path": "Publication:patel_daniel_2007_IRSD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Illustrative rendering.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-Illustrative rendering:thumb{{size}}.png"
            },
            {
                "description": "movie clip of application in use",
                "filetitle": "movie clip",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1436,
                "preview_image_height": 644,
                "name": "patel_daniel_2007_IRSD-movie clip.avi",
                "type": "video/x-msvideo",
                "size": 39037160,
                "path": "Publication:patel_daniel_2007_IRSD",
                "preview_name": "patel_daniel_2007_IRSD-movie clip:preview.png",
                "preview_type": "image/png",
                "preview_size": 576188,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-movie clip:video.mp4"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1492,
                "preview_image_height": 3468,
                "name": "patel_daniel_2007_IRSD-paper.pdf",
                "type": "application/pdf",
                "size": 14016071,
                "path": "Publication:patel_daniel_2007_IRSD",
                "preview_name": "patel_daniel_2007_IRSD-paper:preview.png",
                "preview_type": "image/png",
                "preview_size": 3369232,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/patel_daniel_2007_IRSD-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/patel_daniel_2007_IRSD/",
        "__class": "Publication"
    },
    {
        "id": "CHARALAMBOS-2007-HLOD",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimized HLOD Refinement Driven by Hardware Occlusion Queries",
        "date": "2007-11",
        "abstract": "We present a new method for integrating hierarchical levels of detail (HLOD) with occlusion culling. The algorithm refines the HLOD hierarchy using geometric criteria as well as the occlusion information. For the refinement we use a simple model which takes into account the possible distribution of the visible pixels. The traversal of the HLOD hierarchy is optimized by a new algorithm which uses spatial and temporal coherence of visibility. We predict the HLOD refinement condition for the current frame based on the results from the last frame. This allows an efficient update of the front of termination nodes as well as an efficient scheduling of hardware occlusion queries.  Compared to previous approaches, the new method improves on speed as well as image quality. The results indicate that the method is very close to the optimal scheduling of occlusion queries for driving the HLOD refinement.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 624,
            "image_height": 457,
            "name": "CHARALAMBOS-2007-HLOD-.png",
            "type": "image/png",
            "size": 8177,
            "path": "Publication:CHARALAMBOS-2007-HLOD",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            621,
            198,
            193,
            686
        ],
        "booktitle": "Advances in Visual Computing (Third International Symposium on Visual Computing -- ISVC 2007)",
        "date_from": "2007-11-26",
        "date_to": "2007-11-28",
        "editor": "Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Paragios, N.; Tanveer, S.-M.; Ju, T.; Liu, Z.; Coquillart, S.; Cruz-Neira, C.; Möller, T.; Malzbender, T.",
        "isbn": "978-3-540-76855-9",
        "lecturer": [
            621
        ],
        "location": "Lake Tahoe, Nevada/California",
        "pages_from": "106",
        "pages_to": "117",
        "publisher": "Springer",
        "series": "Lecture Notes in Computer Science, volume 4841",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion queries",
            "levels of detail",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 624,
                "image_height": 457,
                "name": "CHARALAMBOS-2007-HLOD-.png",
                "type": "image/png",
                "size": 8177,
                "path": "Publication:CHARALAMBOS-2007-HLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CHARALAMBOS-2007-HLOD-Preprint.pdf",
                "type": "application/pdf",
                "size": 1524313,
                "path": "Publication:CHARALAMBOS-2007-HLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-Preprint:thumb{{size}}.png"
            },
            {
                "description": "Video for the paper",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "CHARALAMBOS-2007-HLOD-video.avi",
                "type": "video/x-msvideo",
                "size": 46642670,
                "path": "Publication:CHARALAMBOS-2007-HLOD",
                "preview_name": "CHARALAMBOS-2007-HLOD-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 8215,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-video:video.mp4"
            },
            {
                "description": "Visualization of the error metric",
                "filetitle": "vis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2553,
                "image_height": 1381,
                "name": "CHARALAMBOS-2007-HLOD-vis.png",
                "type": "image/png",
                "size": 885003,
                "path": "Publication:CHARALAMBOS-2007-HLOD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-vis.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/CHARALAMBOS-2007-HLOD-vis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/CHARALAMBOS-2007-HLOD/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2007-EDF",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Depth-Perception with Flexible Volumetric Halos",
        "date": "2007-10",
        "abstract": "Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which makes it easier to judge occlusion.  Based on this concept, we present a flexible method for enhancing and highlighting structures of interest using GPU-based direct volume rendering. Our approach uses an interactively defined halo transfer function to classify structures of interest based on data value, direction, and position. A feature-preserving spreading algorithm is applied to distribute seed values to neighboring locations, generating a controllably smooth field of halo intensities. These halo intensities are then mapped to colors and opacities using a halo profile function. Our method can be used to annotate features at interactive frame rates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Volume rendering of a human skull using volumetric halos",
            "filetitle": "Human Skull",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 734,
            "image_height": 734,
            "name": "bruckner-2007-EDF-Human Skull.jpg",
            "type": "image/jpeg",
            "size": 49210,
            "path": "Publication:bruckner-2007-EDF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "date_from": "2007-10-28",
        "date_to": "2007-11-01",
        "event": "IEEE Visualization 2007",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            161
        ],
        "location": "Sacramento, California, USA",
        "number": "6",
        "pages_from": "1344",
        "pages_to": "1351",
        "volume": "13",
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "illustrative visualization",
            "halos"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Volume rendering of a human skull using volumetric halos",
                "filetitle": "Human Skull",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 734,
                "image_height": 734,
                "name": "bruckner-2007-EDF-Human Skull.jpg",
                "type": "image/jpeg",
                "size": 49210,
                "path": "Publication:bruckner-2007-EDF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Human Skull:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2007-EDF-Paper.pdf",
                "type": "application/pdf",
                "size": 16960434,
                "path": "Publication:bruckner-2007-EDF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Paper:thumb{{size}}.png"
            },
            {
                "description": "Demonstration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "bruckner-2007-EDF-Video.avi",
                "type": "video/x-msvideo",
                "size": 37617126,
                "path": "Publication:bruckner-2007-EDF",
                "preview_name": "bruckner-2007-EDF-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 36770,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/bruckner-2007-EDF-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/",
        "__class": "Publication"
    },
    {
        "id": "Kehrer-2007-Mas",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating Interactive Visual Analysis of Large Time Series Data into the SimVis System",
        "date": "2007-10",
        "abstract": "Massive amounts of complex time-dependent information arise in various areas of business, science and engineering. These time series datasets commonly result from the measurement, modeling or the simulation of dynamic processes and contain multiple attributes changing over time. Examples are meteorological data, climate data, financial data, census data, or medical data, to name a few.\r\n\r\nIn this thesis the CurveView for the enhanced interactive visual analysis of multidimensional and large time series data is presented. Two approaches are proposed, one for the interactive visual representation of the data, and so-called brushing techniques allowing the user to select certain interesting subsets of the data (i.e., features) in an intuitive and interactive way. The goals are to enable analysts to gain insight into their data sets, to create, verify or reject hypotheses based on the data, and to explore the temporal evolution of different attributes in order to detect expected structures and to discover unexpected features. The presented solution is integrated into SimVis, a multiple-views system for the visual analysis of time-dependent simulation results.\r\n\r\nThe data is visualized using focus+context visualization techniques: important or selected portions of the data (focus) are visually accented, while the rest of the data (context) is shown in a less prominent style. In doing so, enhanced navigation and orientation is provided to the user. By the application of customizable transfer functions, general data trends, visual structures and patterns can be emphasized even within dense regions of the visualization. On the other hand, so-called outliers, which denote time series in low populated areas of the display or important (ie, brushed) data items hidden in regions of context information, are discriminable in the visualization. By the application of binning techniques large amounts of time-dependent information are transformed into a reduced but still meaningful representation which can be depicted at interactive frame rates.\r\n\r\nFurthermore, interactive brushing techniques are provided to the user for analysis purposes. Thus, complex time-dependent features can be specified by applying fuzzy classification to the time series data. Two kinds of brushes exist in the CurveView: similarity-based brushes where time series are classified according to their similarity to a user-defined pattern directly sketched in the view; and time step brushes, which select time series running through a certain area of the view. In SimVis, the interrelations between the specified features in multiple time-dependent dimensions can be analyzed visually using multiple linked views that show different attributes (i.e., dimensions) of the data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 690,
            "image_height": 648,
            "name": "Kehrer-2007-Mas-image.jpg",
            "type": "image/jpeg",
            "size": 101131,
            "path": "Publication:Kehrer-2007-Mas",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            983
        ],
        "supervisor": [
            176
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 690,
                "image_height": 648,
                "name": "Kehrer-2007-Mas-image.jpg",
                "type": "image/jpeg",
                "size": 101131,
                "path": "Publication:Kehrer-2007-Mas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kehrer-2007-Mas-Thesis.pdf",
                "type": "application/pdf",
                "size": 10222257,
                "path": "Publication:Kehrer-2007-Mas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/Kehrer-2007-Mas-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kehrer-2007-Mas/",
        "__class": "Publication"
    },
    {
        "id": "kohlmann-2007-livesync",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "LiveSync: Deformed Viewing Spheres for Knowledge-Based Navigation",
        "date": "2007-10",
        "abstract": "Although real-time interactive volume rendering is available even for very large data sets, this visualization method is used quite rarely in the clinical practice. We suspect this is because it is very complicated and time consuming to adjust the parameters to achieve meaningful results. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes and other parameters. Because of this, most often only 2D slices of the data set are examined. Our work introduces LiveSync, a new concept to synchronize 2D slice views and volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with expressive result images. To achieve this live synchronization we use a minimal set of derived information without the need for segmented data sets or data-specific pre-computations. The components we consider are the picked point, slice view zoom, patient orientation, viewpoint history, local object shape and visibility. We introduce deformed viewing spheres which encode the viewpoint quality for the components. A combination of these deformed viewing spheres is used to estimate a good viewpoint. Our system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 788,
            "image_height": 636,
            "name": "kohlmann-2007-livesync-image.jpg",
            "type": "image/jpeg",
            "size": 127751,
            "path": "Publication:kohlmann-2007-livesync",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "date_from": "2007-10-28",
        "date_to": "2007-11-01",
        "event": "IEEE Visualization 2007",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            605
        ],
        "location": "Sacramento, California, USA",
        "note": "to be presented at IEEE Visualization 2007",
        "number": "6",
        "pages_from": "1544",
        "pages_to": "1551",
        "volume": "13",
        "research_areas": [],
        "keywords": [
            "linked views",
            "interaction",
            "medical visualization",
            "navigation",
            "viewpoint selection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 788,
                "image_height": 636,
                "name": "kohlmann-2007-livesync-image.jpg",
                "type": "image/jpeg",
                "size": 127751,
                "path": "Publication:kohlmann-2007-livesync",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2007-livesync-paper.pdf",
                "type": "application/pdf",
                "size": 10306194,
                "path": "Publication:kohlmann-2007-livesync",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "kohlmann-2007-livesync-slides.zip",
                "type": "application/x-zip",
                "size": 22827882,
                "path": "Publication:kohlmann-2007-livesync",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-slides.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1296,
                "preview_image_height": 960,
                "name": "kohlmann-2007-livesync-video.avi",
                "type": "video/x-msvideo",
                "size": 39098560,
                "path": "Publication:kohlmann-2007-livesync",
                "preview_name": "kohlmann-2007-livesync-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 84524,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/kohlmann-2007-livesync-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/kohlmann-2007-livesync/",
        "__class": "Publication"
    },
    {
        "id": "fizimayer-2007-art",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Real-Time Cloud Animation and Illumination Method",
        "date": "2007-10",
        "abstract": "Over the last years, real-time rendering, especially for virtual environments as can be seen in most computer games, became more and more important. As the capabilities of graphics hardware continuously increases, the expectations of users regarding to visual quality are also increasing relativly fast.\r\n\r\nCompared to the rapid development in many fields of computer graphics, a very important element for real-time outdoor scene rendering has been almost completely disregarded. Clouds can highly improve the visual quality of a scene due to their complex structure, the beautiful colors as well as their formation and movement. Because of the computational effort to render animated and dynamically lit clouds, it has been impossible for consumer graphics adapters to draw them and simultaneously keep the framerate high enough. Although there are many methods which allow drawing clouds in outdoor environments fast enough, all of them have some restrictions eighter in movement, lighting or formation.\r\n\r\nThis thesis will examine how plausible cloud animation can be done in real time on consumer graphics hardware and how the animation results can be used to render high-quality, dynamically lit, volumetric clouds with relativly high frame rates. Since high-quality solutions already exist for non-real-time rendering applications and they are almost completely computed on the CPU, which is not acceptable for most games since the CPU is very often already at peak load, methods will be discussed to adapt those algorithms to be performed on the GPU, while also some new improvements will be presented.\r\n\r\nThe thesis first gives an overview of state-of-the-art of cloud rendering algorithms for real-time as well as for non-real-time rendering. Then, we will try to adapt parts of these techniques to work in interactive environments at high framerates while all significant characteristics of the non-real-time methods like cloud formation, extinction, movement and dynamic lighting will still be preserved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            688
        ],
        "supervisor": [
            190,
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fizimayer-2007-art-thesis.pdf",
                "type": "application/pdf",
                "size": 26281136,
                "path": "Publication:fizimayer-2007-art",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/fizimayer-2007-art/fizimayer-2007-art-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/fizimayer-2007-art/fizimayer-2007-art-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/fizimayer-2007-art/",
        "__class": "Publication"
    },
    {
        "id": "guerrero-2008-dip",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Approximative Real-time Soft Shadows and Diffuse Reflections in Dynamic Scenes",
        "date": "2007-10",
        "abstract": "This thesis describes a method for approximative soft shadows and diffuse reflections in dynamic scenes, based on a method by Ren et al. [32]. An overview of precomputed radiance transfer and spherical harmonics is also presented, as well as a short introduction to global illumination. The proposed method uses a low-order spherical harmonics basis to represent incident radiance and visibility on the hemisphere of a receiver point. Diffuse reflecting geometry and shadow casting geometry is represented as sets of spheres. The spheres of an object approximate its shape and diffuse surface color as seen from any viewpoint. In a first pass, the direct illumination of an object is projected to its spheres and stored along with an approximation of the diffuse surface color as SH vectors defined over the surface of each sphere. In a second pass, the average color and the visibility for each sphere at a receiver point is found. The product of average color and visibility is used to approximate the incident radiance from diffuse reflections. Using a sphere set approximation instead of actual geometry for both soft shadows and diffuse reflections allows us to compute the visibility and diffuse reflections of an object on the fly at runtime. This text also describes a GPU implementation of the method and discusses obtained results. Interactive performance with relatively smooth framerates of over 20 fps is achieved for moderately complex scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "guerrero-2008-dip-image.jpg",
            "type": "image/jpeg",
            "size": 99766,
            "path": "Publication:guerrero-2008-dip",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627
        ],
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "precomputed radiance transfer",
            "indirect illumination",
            "global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "guerrero-2008-dip-image.jpg",
                "type": "image/jpeg",
                "size": 99766,
                "path": "Publication:guerrero-2008-dip",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-image:thumb{{size}}.png"
            },
            {
                "description": "Diploma Thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "guerrero-2008-dip-thesis.pdf",
                "type": "application/pdf",
                "size": 4082515,
                "path": "Publication:guerrero-2008-dip",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/guerrero-2008-dip-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/guerrero-2008-dip/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2007-SLI",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Layers for Illustrative Volume Rendering",
        "date": "2007-10",
        "abstract": "Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive.\nWe present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. \nWe introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. \nA semantic layer defines the mapping of volumetric attributes to one visual style. \nVolumetric attributes and visual styles are represented as fuzzy sets.\nThe mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "Rautek-2007-SLI-image.jpg",
            "type": "image/jpeg",
            "size": 81669,
            "path": "Publication:Rautek-2007-SLI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166
        ],
        "date_from": "2007-10-28",
        "date_to": "2007-11-01",
        "event": "IEEE Visualization 2007",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            488
        ],
        "location": "Sacramento, California, USA",
        "note": "to be presented at IEEE Visualization 2007",
        "number": "6",
        "pages_from": "1336",
        "pages_to": "1343",
        "volume": "13",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Illustrative Visualization",
            "Volume Visualization",
            "Focus+Context Techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "Rautek-2007-SLI-image.jpg",
                "type": "image/jpeg",
                "size": 81669,
                "path": "Publication:Rautek-2007-SLI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek-2007-SLI-paper.pdf",
                "type": "application/pdf",
                "size": 11683201,
                "path": "Publication:Rautek-2007-SLI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1600,
                "preview_image_height": 1144,
                "name": "Rautek-2007-SLI-video.avi",
                "type": "video/x-msvideo",
                "size": 24765278,
                "path": "Publication:Rautek-2007-SLI",
                "preview_name": "Rautek-2007-SLI-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 29347,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/Rautek-2007-SLI-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-SLI/",
        "__class": "Publication"
    },
    {
        "id": "roch-2007-rtt",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Tone Mapping Using Selective Rendering",
        "date": "2007-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            598
        ],
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "roch-2007-rtt-thesis.pdf",
                "type": "application/pdf",
                "size": 1976495,
                "path": "Publication:roch-2007-rtt",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/roch-2007-rtt/roch-2007-rtt-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/roch-2007-rtt/roch-2007-rtt-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/roch-2007-rtt/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2007-covicad",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "CoViCAD: Comprehensive Visualization of Coronary Artery Disease",
        "date": "2007-10",
        "abstract": "We present novel, comprehensive visualization techniques for the diagnosis of patients with Coronary Artery Disease using segmented cardiac MRI data. We extent an accepted medical visualization technique called the bull’s eye plot by removing discontinuities, preserving the volumetric nature of the left ventricular wall and adding anatomical context. The resulting volumetric bull’s eye plot can be used for the assessment of transmurality. We link these visualizations to a 3D view that presents viability information in a detailed anatomical context. We combine multiple MRI scans (whole heart anatomical data, late enhancement data) and multiple segmentations (polygonal heart model, late enhancement contours, coronary artery tree). By selectively combining different rendering techniques we obtain comprehensive yet intuitive visualizations of the various data sources.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "3D model of the heart annotated with viability data",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 618,
            "image_height": 877,
            "name": "termeer-2007-covicad-image.png",
            "type": "image/png",
            "size": 320323,
            "path": "Publication:termeer-2007-covicad",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606,
            647,
            679,
            459,
            575,
            166
        ],
        "journal": "IEEE Transactions on Visualization and Computer Graphics (accepted for publication)",
        "lecturer": [
            606
        ],
        "number": "6",
        "volume": "13",
        "research_areas": [],
        "keywords": [
            "VBEP",
            "viability",
            "late enhancement",
            "Cardiac MRI",
            "bull"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "3D model of the heart annotated with viability data",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 618,
                "image_height": 877,
                "name": "termeer-2007-covicad-image.png",
                "type": "image/png",
                "size": 320323,
                "path": "Publication:termeer-2007-covicad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2007-covicad-paper.pdf",
                "type": "application/pdf",
                "size": 7366407,
                "path": "Publication:termeer-2007-covicad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 384,
                "name": "termeer-2007-covicad-video.avi",
                "type": "video/x-msvideo",
                "size": 19198352,
                "path": "Publication:termeer-2007-covicad",
                "preview_name": "termeer-2007-covicad-video:preview.png",
                "preview_type": "image/png",
                "preview_size": 123651,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/termeer-2007-covicad-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/termeer-2007-covicad/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-10",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantics Driven Illustrative Rendering",
        "date": "2007-10",
        "abstract": "Illustrative visualization aims to effectively communicate a specific information.\r\nIn traditional illustration the choice of appropriate styles and rendering techniques is guided by the intention of the artist.\r\nFor illustrative volume visualizations it is difficult to specify the mapping between the 3D data and the visual representation.\r\nWe introduce a layer between data and visual appearance that allows the semantic specification of the visualization mapping.\r\nOur framework enables a linguistic formulation of rendering styles and techniques. A fuzzy logic rule base determines the constraints of the resulting interactive illustration.\r\nThe fuzzy logic is automatically translated into a shader program and is evaluated directly on the GPU. \r\nThe framework provides high quality illustrations that are guided by the specification of semantic illustration rules.\r\nThe evaluation of the fuzzy logic on the GPU allows user-guided and view-dependent changes of the resulting illustrations.\r\nWe show examples of semantics driven illustrative volume rendering at interactive frame rates.",
        "authors_et_al": false,
        "substitute": "Rautek-2008-IDS",
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 274,
            "image_height": 512,
            "name": "TR-186-2-07-10-.jpg",
            "type": "image/jpeg",
            "size": 93743,
            "path": "Publication:TR-186-2-07-10",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 274,
                "image_height": 512,
                "name": "TR-186-2-07-10-.jpg",
                "type": "image/jpeg",
                "size": 93743,
                "path": "Publication:TR-186-2-07-10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-10-paper.pdf",
                "type": "application/pdf",
                "size": 7021373,
                "path": "Publication:TR-186-2-07-10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-paper:thumb{{size}}.png"
            },
            {
                "description": "screenshot of the application",
                "filetitle": "screenshot",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1600,
                "image_height": 1140,
                "name": "TR-186-2-07-10-screenshot.jpg",
                "type": "image/jpeg",
                "size": 471162,
                "path": "Publication:TR-186-2-07-10",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-screenshot:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "TR-186-2-07-10-video.avi",
                "type": "video/x-msvideo",
                "size": 35302472,
                "path": "Publication:TR-186-2-07-10",
                "preview_name": "TR-186-2-07-10-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 9763,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/TR-186-2-07-10-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-10/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2007-hdr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Measuring Light Pollution with a Calibrated High Dynamic Range All-Sky Image Acquisition System",
        "date": "2007-10",
        "abstract": "Combining series of exposures with different exposure times made with a digital SLR camera and a ﬁsh-eye lens allow to create high-resolution images that contain the full dynamic\nrange of daylight, including the Sun, usable as scene background and for skylight illumination computation purposes. These High Dynamic Range (HDR) images can also be calibrated with a luminance meter, so the image\ndata contain meaningful values, and the system becomes a measuring device. At night, long-time exposures can be combined, and the setup, once ﬁne-calibrated with a Sky Quality\nMeter or another low-level light measuring device, becomes a valuable tool to provide absolute values of sky brightness. Using data from\nthe astronomical literature, false-colour plots of sky luminance can be created that closely match visual estimation of visible stellar magnitudes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "address": "Bled",
        "booktitle": "DARKSKY2007 - 7th European Symposium for the Protection of the Night Sky",
        "date_from": "2007-10-05",
        "date_to": "2007-10-06",
        "editor": "Andrej Mohar",
        "lecturer": [
            222
        ],
        "location": "Bled",
        "research_areas": [],
        "keywords": [
            "HDR imaging",
            "Light Pollution",
            "Skylight"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2007-hdr-Paper.pdf",
                "type": "application/pdf",
                "size": 3126570,
                "path": "Publication:zotti-2007-hdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2007-hdr-Presentation.pdf",
                "type": "application/pdf",
                "size": 1097068,
                "path": "Publication:zotti-2007-hdr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/zotti-2007-hdr-Presentation:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-hdr/",
        "__class": "Publication"
    },
    {
        "id": "toth-2007-ndd",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "N-dimensional Data-Dependent Reconstruction Using Topological Changes",
        "date": "2007-09",
        "abstract": "We introduce a new concept for a geometrically based feature preserving reconstruction\r\ntechnique of n-dimensional scattered data. Our goal is to generate\r\nan n-dimensional triangulation, which preserves the high frequency regions via\r\nlocal topology changes. It is the generalization of a 2D reconstruction approach\r\nbased on data-dependent triangulation and Lawson‘s optimization procedure.\r\nThe definition of the mathematic optimum of the reconstruction is given. We\r\ndiscuss an original cost function and a generalization of known functions for\r\nthe n-dimensional case.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 288,
            "image_height": 196,
            "name": "toth-2007-ndd-image.jpg",
            "type": "image/jpeg",
            "size": 46901,
            "path": "Publication:toth-2007-ndd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            582,
            171,
            583,
            166
        ],
        "booktitle": "Proceedings of TopoInVis 2005, Topology-based Methods in Visualization",
        "date_from": "2005-09-29",
        "date_to": "2005-09-30",
        "editor": "H. Hauser, H. Hagen, H. Theisel",
        "lecturer": [
            582
        ],
        "location": "Budmerice, Slovakia",
        "note": "Konferenz hat 2005 stattgefunden, Proceeding ist allerdings erst 2007 erschienen",
        "pages_from": "183",
        "pages_to": "198",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 288,
                "image_height": 196,
                "name": "toth-2007-ndd-image.jpg",
                "type": "image/jpeg",
                "size": 46901,
                "path": "Publication:toth-2007-ndd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "toth-2007-ndd-paper.pdf",
                "type": "application/pdf",
                "size": 7344349,
                "path": "Publication:toth-2007-ndd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/toth-2007-ndd-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/toth-2007-ndd/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-09",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Imperfections: Dust, Scratches, Aging,...",
        "date": "2007-09",
        "abstract": "In order to incrase the realism of an image or a scene in a computergraphics application, so-called imperfections are often used during rendering. These are techniques which add details like dirt, scratches, dust or aging effects to the models and textures.\n\nRealism is improved through imperfections since computer generated models are usually too perfect to be accepted as realistic by human observers. By making them, for example, dusty and scratched, people can imagine them being part of their real world much more easily.\n\nThis article gives an overview of currently used imperfections techniques and algorithms. Topics like textures, scratches, aging, dust, weathering, lichen growth and terrain erosion are covered.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678,
            193
        ],
        "number": "TR-186-2-07-09",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "scratches",
            "dust",
            "imperfections",
            "aging"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "TR",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-09-TR.pdf",
                "type": "application/pdf",
                "size": 3109169,
                "path": "Publication:TR-186-2-07-09",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-09/TR-186-2-07-09-TR.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-09/TR-186-2-07-09-TR:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-09/",
        "__class": "Publication"
    },
    {
        "id": "viola-2007-ort",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "On the Role of Topology in Focus+Context Visualization",
        "date": "2007-09",
        "abstract": "In this paper three types of visualization scenarios are discussed, where topology\r\nimproves the readability of particular visualization results. The \frst type\r\ncombines topology information represented by simple graphical primitives\r\nwith other forms of visual representations. The second type uses the topology\r\ninformation to de\fne the relevance of objects within the data. The relevance\r\nis re\r\nected in the visualization by applying the cut-away concept. The third\r\ntype of visualizations is based on the change of topology of the underlying\r\ndata to increase visibility of the most interesting information. Every type\r\nhandles topology in a di\u000berent way. This illustrates various roles of topology\r\nin scienti\fc visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 287,
            "image_height": 216,
            "name": "viola-2007-ort-image.jpg",
            "type": "image/jpeg",
            "size": 72798,
            "path": "Publication:viola-2007-ort",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166
        ],
        "booktitle": "Proceedings of TopoInVis 2005, Topology-based Methods in Visualization",
        "date_from": "2005-09-29",
        "date_to": "2005-09-30",
        "editor": "H. Hauser, H. Hagen, H. Theisel",
        "lecturer": [
            171
        ],
        "location": "Budmerice, Slovakia",
        "note": "Konferenz hat 2005 stattgefunden, Proceeding ist allerdings erst 2007 erschienen",
        "pages_from": "171",
        "pages_to": "181",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 287,
                "image_height": 216,
                "name": "viola-2007-ort-image.jpg",
                "type": "image/jpeg",
                "size": 72798,
                "path": "Publication:viola-2007-ort",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2007-ort-paper.pdf",
                "type": "application/pdf",
                "size": 8081327,
                "path": "Publication:viola-2007-ort",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/viola-2007-ort-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/viola-2007-ort/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2007-eg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tangible Heritage: Production of Astrolabes on a Laser Engraver",
        "date": "2007-09",
        "abstract": "The astrolabe, an analog computing device, used to be the iconic\n  instrument of astronomers during the Middle Ages. It allowed a\n  multitude of operations of practical astronomy which were otherwise\n  cumbersome to perform in an epoch when mathematics had apparently\n  almost been forgotten. Usually made from wood or sheet metal, a\n  few hundred instruments, mostly from brass, survived until today and\n  are valuable \n  museum showpieces. This paper explains a procedural modelling\n  approach for the construction of the classical kinds of astrolabes,\n  which allows a wide variety of applications from plain explanatory\n  illustrations to 3D models, and even the production of working\n  physical astrolabes usable for public or classroom demonstrations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Astrolabe Front",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 560,
            "image_height": 624,
            "name": "zotti-2007-eg-.png",
            "type": "image/png",
            "size": 255700,
            "path": "Publication:zotti-2007-eg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "booktitle": "EG2007 Cultural Heritage Papers",
        "date_from": "2007-09-03",
        "date_to": "2007-09-07",
        "editor": "David B. Arnold and Andrej Ferko",
        "issn": "1017-4656",
        "lecturer": [
            222
        ],
        "location": "Prague",
        "organization": "Eurographics",
        "pages_from": "41",
        "pages_to": "48 (colorplate:p60)",
        "publisher": "Eurographics",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Cultural Heritage",
            "Astronomy",
            "Astrolabe",
            "Procedural Modelling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Astrolabe Front",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 560,
                "image_height": 624,
                "name": "zotti-2007-eg-.png",
                "type": "image/png",
                "size": 255700,
                "path": "Publication:zotti-2007-eg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2007-eg-paper.pdf",
                "type": "application/pdf",
                "size": 4690498,
                "path": "Publication:zotti-2007-eg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/zotti-2007-eg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-eg/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2007-STF",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Style Transfer Functions for Illustrative Volume Rendering",
        "date": "2007-09",
        "abstract": "Illustrative volume visualization frequently employs non-photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is difficult to integrate multiple non-photorealistic rendering approaches into a single framework due to great differences in the individual methods and their parameters. In this paper, we present the concept of style transfer functions. Our approach enables flexible data-driven illumination which goes beyond using the transfer function to just assign colors and opacities. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Style transfer functions allow us to combine a multitude of different shading styles in a single rendering. We extend this concept with a technique for curvature-controlled style contours and an illustrative transparency model. Our implementation of the presented methods allows interactive generation of high-quality volumetric illustrations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Illustrative volume rendering of a human head using style transfer functions",
            "filetitle": "Head",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 875,
            "image_height": 1062,
            "name": "bruckner-2007-STF-Head.png",
            "type": "image/png",
            "size": 1499331,
            "path": "Publication:bruckner-2007-STF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "date_from": "2007-09-03",
        "date_to": "2007-09-07",
        "event": "Eurographics 2007",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            161
        ],
        "location": "Prague, Czech Republic",
        "note": "Eurographics 2007 3rd Best Paper Award",
        "number": "3",
        "pages_from": "715",
        "pages_to": "724",
        "volume": "26",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "illustrative visualization",
            "transfer functions",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Illustrative volume rendering of a human head using style transfer functions",
                "filetitle": "Head",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 875,
                "image_height": 1062,
                "name": "bruckner-2007-STF-Head.png",
                "type": "image/png",
                "size": 1499331,
                "path": "Publication:bruckner-2007-STF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Head:thumb{{size}}.png"
            },
            {
                "description": "Illustrative volume rendering of a human head using style transfer functions",
                "filetitle": "Human Head",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 875,
                "image_height": 1062,
                "name": "bruckner-2007-STF-Human Head.png",
                "type": "image/png",
                "size": 1499331,
                "path": "Publication:bruckner-2007-STF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Human Head:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2007-STF-Paper.pdf",
                "type": "application/pdf",
                "size": 13426711,
                "path": "Publication:bruckner-2007-STF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Paper:thumb{{size}}.png"
            },
            {
                "description": "Demonstration video",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2007-STF-Video.avi",
                "type": "",
                "size": 45491680,
                "path": "Publication:bruckner-2007-STF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/bruckner-2007-STF-Video.avi",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-STF/",
        "__class": "Publication"
    },
    {
        "id": "bauchinger-2007-mre",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Designing a Modern Rendering Engine",
        "date": "2007-08",
        "abstract": "The development of real-time rendering applications has become one of the most difficult software engineering areas due to the number and complexity of the needed techniques and algorithms involved. These software projects have in common that they need to structure the data in the main memory, process it and send it to the graphics device for rendering in an efficient way. These recurring and complex algorithms are provided by so called rendering engines to allow faster development of real-time rendering applications.\r\n\r\nThis thesis describes the concepts and design decisions which form the basis for the development of the rendering engine presented in this document. Detailed information is provided on the interface to the graphics device, a novel effect framework and the implemented graph structures allowing efficient data traversal.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            681
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "game engines",
            "real-time rendering",
            "shader programming"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bauchinger-2007-mre-Thesis.pdf",
                "type": "application/pdf",
                "size": 3048916,
                "path": "Publication:bauchinger-2007-mre",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bauchinger-2007-mre/bauchinger-2007-mre-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/bauchinger-2007-mre/bauchinger-2007-mre-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/bauchinger-2007-mre/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2007-idr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Rendering in Interventional Imaging",
        "date": "2007-08",
        "abstract": "In this thesis a combined visualization of dense clinical data like 3D CTA (Computed Tomography\r\nAngiography) combined with co-registered real-time images of medical intervention\r\napplications is presented. The main challenge here is to provide a merged visualization that\r\nallows su\u001ecient spatial perception of the important parts, as derived from the pre-operative\r\ndata, while not occluding the information in the real-time image embedded within the volume.\r\nThis work presents a new approach of importance de\u001cnition for volumetric data and how\r\nthis importance can be used to create a feature-emphasized visualization. Furthermore the\r\nviewpoint and the position of the intervention image is used to generate a contextual cutaway\r\nwhich in\u001duences the density of the visualization to avoid an occlusion of the real-time image\r\nby less important parts of the volumetric data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Result image (CTA)",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 506,
            "image_height": 448,
            "name": "haidacher-2007-idr-Result image (CTA).jpg",
            "type": "image/jpeg",
            "size": 95562,
            "path": "Publication:haidacher-2007-idr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CTA).jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CTA):thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597
        ],
        "supervisor": [
            166,
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Importance Control",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 393,
                "image_height": 493,
                "name": "haidacher-2007-idr-Importance Control.jpg",
                "type": "image/jpeg",
                "size": 97756,
                "path": "Publication:haidacher-2007-idr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Importance Control.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Importance Control:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Masterthesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2007-idr-Masterthesis.pdf",
                "type": "application/pdf",
                "size": 5496178,
                "path": "Publication:haidacher-2007-idr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Masterthesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Masterthesis:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Result image (CT)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 509,
                "image_height": 436,
                "name": "haidacher-2007-idr-Result image (CT).jpg",
                "type": "image/jpeg",
                "size": 98729,
                "path": "Publication:haidacher-2007-idr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CT).jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CT):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Result image (CTA)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 506,
                "image_height": 448,
                "name": "haidacher-2007-idr-Result image (CTA).jpg",
                "type": "image/jpeg",
                "size": 95562,
                "path": "Publication:haidacher-2007-idr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CTA).jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (CTA):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Result image (MRI)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 768,
                "image_height": 768,
                "name": "haidacher-2007-idr-Result image (MRI).jpg",
                "type": "image/jpeg",
                "size": 274057,
                "path": "Publication:haidacher-2007-idr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (MRI).jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Result image (MRI):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 700,
                "preview_image_height": 526,
                "name": "haidacher-2007-idr-Video.avi",
                "type": "video/x-msvideo",
                "size": 7069324,
                "path": "Publication:haidacher-2007-idr",
                "preview_name": "haidacher-2007-idr-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 41677,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/haidacher-2007-idr-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/haidacher-2007-idr/",
        "__class": "Publication"
    },
    {
        "id": "Konyha_2007_SCV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of a Timing Chain Drive Using Segmented Curve View and other Coordinated Views",
        "date": "2007-07",
        "abstract": "A timing chain drive transfers motion from the engine's\r\ncrankshaft to the camshaft that operates the valves. The\r\ndesign process of timing chain drives involves computer\r\nsimulation of many design variants in order to \u0002nd an optimum.\r\nMost of the simulation results can be represented\r\nas families of function graphs (data series). Previously,\r\nthe analysis of those results was based on static 2D diagrams\r\nand animated 3D visualizations. They were suitable\r\nfor the detailed analysis of a few simulation variants, but\r\nnot for the comparison of many cases. In this paper we\r\npropose a new approach to the analysis based on coordinated\r\nlinked views and advanced brushing features. Our\r\nproposed method supports the interactive analysis of many\r\ndesign variants. We introduce a novel view, called segmented\r\ncurve view, which can display distributions in families\r\nof function graphs. The segmented curve view combines\r\nindividual function graphs where for a \u0002xed value\r\nof the independent variable, a bar extends from minimum\r\nto maximum values across the family of function graphs.\r\nEach bar is divided into segments (bins) with a color that\r\nrepresents the number of function graphs with the value\r\nin that segment. In the case study, we demonstrate that\r\nthe new view combined with traditional views provides\r\na strong support for the interactive visual exploration and\r\nanalysis of a real world timing chain design problem.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "3D view of chain driwe and linked views used in analysis",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 316,
            "image_height": 445,
            "name": "Konyha_2007_SCV-image.jpg",
            "type": "image/jpeg",
            "size": 128182,
            "path": "Publication:Konyha_2007_SCV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756,
            235,
            581,
            710,
            580,
            176
        ],
        "booktitle": "Proccedings of 5th International Conference on Coordinated & Multiple Views in Exploratory Visualization",
        "date_from": "2007-07",
        "date_to": "2007-07",
        "lecturer": [
            756
        ],
        "location": "Zuerich",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Download paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Konyha_2007_SCV-Download paper.pdf",
                "type": "application/pdf",
                "size": 1715774,
                "path": "Publication:Konyha_2007_SCV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-Download paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-Download paper:thumb{{size}}.png"
            },
            {
                "description": "3D view of chain driwe and linked views used in analysis",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 316,
                "image_height": 445,
                "name": "Konyha_2007_SCV-image.jpg",
                "type": "image/jpeg",
                "size": 128182,
                "path": "Publication:Konyha_2007_SCV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/Konyha_2007_SCV-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Konyha_2007_SCV/",
        "__class": "Publication"
    },
    {
        "id": "roos-2007-mcp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multipath Curved Planar Reformation of the Peripheral Arterial Tree in CT Angiography",
        "date": "2007-07",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            690,
            164,
            691,
            689,
            167,
            692,
            162,
            693,
            166
        ],
        "journal": "Journal Radiology",
        "number": "1",
        "pages_from": "281",
        "pages_to": "290",
        "volume": "244",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "roos-2007-mcp-paper.pdf",
                "type": "application/pdf",
                "size": 958853,
                "path": "Publication:roos-2007-mcp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/roos-2007-mcp/roos-2007-mcp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/roos-2007-mcp/roos-2007-mcp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/roos-2007-mcp/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2007-clv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Lines View: An Approach to Visualization of Families of Function Graphs",
        "date": "2007-07",
        "abstract": "Data sets often include information that can be represented\r\nas a mapping that describes how a dependent variable\r\ndepends on an independent variable. Such a mapping,\r\nusually represented as a function graph, can be parameterized\r\nto provide a family of function graphs. The\r\nchallenge is how to efficiently aggregate individual function\r\ngraph views to represent the whole family and allow\r\nvisual analysis and search for patterns. We propose a novel\r\nview, called the color lines view, which provides a two dimensional,\r\nrectangular view where each line represents a\r\nsingle function graph. The points on the line correspond to\r\nvalues of the independent variable. The point colors represent\r\nthe value of the dependent variable. The lines, placed\r\nnext to each other in parallel, show a family of function\r\ngraphs. The color lines view offers sorting and brushing\r\nfeatures which support visual analysis procedures that are\r\ndifficult to perform with previously existing views.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 7833,
            "image_height": 4937,
            "name": "matkovic-2007-clv-.jpg",
            "type": "image/jpeg",
            "size": 1573063,
            "path": "Publication:matkovic-2007-clv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            581,
            756,
            176
        ],
        "booktitle": "Proceedings of 11th International Conference Information Visualization",
        "date_from": "2007-07-02",
        "date_to": "2007-07-06",
        "lecturer": [
            756
        ],
        "location": "Zürich, Schweiz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 7833,
                "image_height": 4937,
                "name": "matkovic-2007-clv-.jpg",
                "type": "image/jpeg",
                "size": 1573063,
                "path": "Publication:matkovic-2007-clv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2007-clv-paper.pdf",
                "type": "application/pdf",
                "size": 4944878,
                "path": "Publication:matkovic-2007-clv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/matkovic-2007-clv-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-clv/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2007-uml",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evolutional Insights from UML and Source Code Versions using Information Visualization and Visual Analysis",
        "date": "2007-06",
        "abstract": "Risks associated with producing todays software applications\r\nare increasingly linked with size and complexity —\r\njust too many aspects of software to fit in the head of even\r\nthe most talented software engineer. Understanding software\r\nentails more than browsing the source code or reviewing\r\nthe models in the other software artifacts. We use information\r\nvisualization and visual analysis techniques to parse\r\ndata sets generated from UML and Java SDK source code\r\nversions to examine patterns. This visual perspective provides\r\nrelevant insights and additional navigation opportunities\r\nfor software engineers during development and maintenance\r\nactivities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            708,
            581,
            709,
            235
        ],
        "booktitle": "Proceedings of the 4th International Workshop on Visualizing Software for Understanding and Analysis, VisSoft 2007",
        "date_from": "2007-06-25",
        "date_to": "2007-06-26",
        "lecturer": [
            235
        ],
        "location": "Banff, Canada",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2007-uml-paper.pdf",
                "type": "application/pdf",
                "size": 7340206,
                "path": "Publication:matkovic-2007-uml",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-uml/matkovic-2007-uml-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-uml/matkovic-2007-uml-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-uml/",
        "__class": "Publication"
    },
    {
        "id": "Habel_2007_RTT",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physically Based Real-Time Translucency for Leaves",
        "date": "2007-06",
        "abstract": "This paper presents a new shading model for real-time rendering of plant leaves that reproduces all important attributes of a leaf and allows for a large number of leaves to be shaded. In particular, we use a physically based model for accurate subsurface scattering on the translucent side of directly lit leaves. For real-time rendering of this model, we formulate it as an image convolution process and express the result in an efficient directional basis that is fast to evaluate. We also propose a data  acquisition method for leaves that uses off-the-shelf devices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Physically based translucency on a tree",
            "filetitle": "Screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1018,
            "image_height": 742,
            "name": "Habel_2007_RTT-Screenshot.png",
            "type": "image/png",
            "size": 986183,
            "path": "Publication:Habel_2007_RTT",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            670,
            193
        ],
        "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2007-06-25",
        "date_to": "2007-06-27",
        "editor": "Jan Kautz and Sumanta Pattanaik",
        "isbn": "978-3-905673-52-4",
        "lecturer": [
            618
        ],
        "location": "Grenoble, France",
        "organization": "Eurographics",
        "pages_from": "253",
        "pages_to": "263",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Realtime Rendering",
            " Natural Scene Rendering",
            "Physically Based Rendering",
            "Natural Phenomena"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Albedo, translucency, normal, HL2-basis and thickness maps",
                "filetitle": "Leaf textures",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_RTT-Leaf textures.zip",
                "type": "application/x-zip",
                "size": 39225136,
                "path": "Publication:Habel_2007_RTT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Leaf textures.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Physically Based Real-Time Translucency for Leaves",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_RTT-Preprint.pdf",
                "type": "application/pdf",
                "size": 8379881,
                "path": "Publication:Habel_2007_RTT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Preprint:thumb{{size}}.png"
            },
            {
                "description": "Physically based translucency on a tree",
                "filetitle": "Screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1018,
                "image_height": 742,
                "name": "Habel_2007_RTT-Screenshot.png",
                "type": "image/png",
                "size": 986183,
                "path": "Publication:Habel_2007_RTT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Screenshot:thumb{{size}}.png"
            },
            {
                "description": "Video and Screenshots",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_RTT-Video.zip",
                "type": "application/x-zip",
                "size": 70074419,
                "path": "Publication:Habel_2007_RTT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/Habel_2007_RTT-Video.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_RTT/",
        "__class": "Publication"
    },
    {
        "id": "Scherzer-2007-PCS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Pixel-Correct Shadow Maps with Temporal Reprojection and  Shadow Test Confidence",
        "date": "2007-06",
        "abstract": "Shadow mapping suffers from spatial aliasing (visible as blocky shadows) as well as temporal aliasing (visible as flickering). Several methods have already been proposed for reducing such artifacts, but so far none is able to provide satisfying results in real time.\n\nThis paper extends shadow mapping by reusing information of previously rasterized images, stored efficiently in a so-called history buffer. This buffer is updated in every frame and then used for the shadow calculation. In combination with a special confidence-based method for the history buffer update (based on the current shadow map), temporal and spatial aliasing can be completely removed. The algorithm converges in about 10 to 60 frames and during convergence, shadow borders are sharpened over time. Consequently, in case of real-time frame rates, the temporal shadow adaption is practically imperceptible. The method is simple to implement and is as fast as uniform shadow mapping, incurring only the minor speed hit of the history buffer update. It works together with advanced filtering methods like percentage closer filtering and more advanced shadow mapping techniques like perspective or light space perspective shadow maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Pixel-correct shadow maps as a result of using  a shadow map (size 10242) with shadow test confidence together  with a history buffer. Note that projection and perspective  aliasing are completely removed.",
            "filetitle": "image1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1576,
            "image_height": 1024,
            "name": "Scherzer-2007-PCS-image1.png",
            "type": "image/png",
            "size": 1924365,
            "path": "Publication:Scherzer-2007-PCS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452,
            356,
            193
        ],
        "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2007-06-25",
        "date_to": "2007-06-27",
        "editor": "Jan Kautz and Sumanta Pattanaik",
        "isbn": "978-3-905673-52-4",
        "lecturer": [
            452
        ],
        "location": "Grenoble, France",
        "organization": "Eurographics",
        "pages_from": "45",
        "pages_to": "50",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadow mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Pixel-correct shadow maps as a result of using  a shadow map (size 10242) with shadow test confidence together  with a history buffer. Note that projection and perspective  aliasing are completely removed.",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1576,
                "image_height": 1024,
                "name": "Scherzer-2007-PCS-image1.png",
                "type": "image/png",
                "size": 1924365,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image1:thumb{{size}}.png"
            },
            {
                "description": "In this figure we used our new shadow mapping technique (PCSM) toshow that even scenarios were projection aliasing is the  dominant source of error, we can produce the correct shadowing solution.",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1576,
                "image_height": 1024,
                "name": "Scherzer-2007-PCS-image2.png",
                "type": "image/png",
                "size": 1857584,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image2:thumb{{size}}.png"
            },
            {
                "description": "In this figure we used our new shadow mapping technique (PCSM) toshow that even scenarios were projection aliasing is the  dominant source of error, we can produce the correct shadowing solution.",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1576,
                "image_height": 1024,
                "name": "Scherzer-2007-PCS-image3.png",
                "type": "image/png",
                "size": 783356,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image3:thumb{{size}}.png"
            },
            {
                "description": "New fragments (shown in red) without history that  result from a camera translation.",
                "filetitle": "image4",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 684,
                "name": "Scherzer-2007-PCS-image4.png",
                "type": "image/png",
                "size": 619467,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image4.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-image4:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Scherzer-2007-PCS-Preprint.pdf",
                "type": "application/pdf",
                "size": 8878009,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-Preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Scherzer-2007-PCS-video.wmv",
                "type": "text/plain",
                "size": 30221796,
                "path": "Publication:Scherzer-2007-PCS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/Scherzer-2007-PCS-video.wmv",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "CROSSMOD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Scherzer-2007-PCS/",
        "__class": "Publication"
    },
    {
        "id": "JESCHKE-2007-ISC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Smooth and Curved Shell Mapping",
        "date": "2007-06",
        "abstract": "Shell mapping is a technique to represent three-dimensional surface details. This is achieved by extruding the triangles of an existing mesh along their normals, and mapping a 3D function (e.g., a 3D texture) into the resulting\nprisms. Unfortunately, such a mapping is nonlinear. Previous approaches perform a piece-wise linear approximation\nby subdividing the prisms into tetrahedrons. However, such an approximation often leads to severe artifacts.\nIn this paper we present a correct (i.e., smooth) mapping that does not rely on a decomposition into tetrahedrons. We present an efficient GPU ray casting algorithm which provides correct parallax, self-occlusion, and silhouettes, at the cost of longer rendering times. The new formulation also allows modeling shells with smooth curvatures using Coons patches within the prisms. Tangent continuity between adjacent prisms is guaranteed, while the\nmapping itself remains local, i.e. every curved prism content is modeled at runtime in the GPU without the need\nfor any precomputation. This allows instantly replacing animated triangular meshes with prism-based shells.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            407,
            193
        ],
        "booktitle": "Rendering Techniques 2007 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2007-06-25",
        "date_to": "2007-06-27",
        "editor": "Jan Kautz and Sumanta Pattanaik",
        "isbn": "978-3-905673-52-4",
        "lecturer": [
            356
        ],
        "location": "Grenoble, France",
        "organization": "Eurographics",
        "pages": "10",
        "pages_from": "351",
        "pages_to": "360",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Display algorithms",
            "Shading"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "additional images",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 882,
                "preview_image_height": 545,
                "name": "JESCHKE-2007-ISC-additional images.pdf",
                "type": "application/pdf",
                "size": 5691735,
                "path": "Publication:JESCHKE-2007-ISC",
                "preview_name": "JESCHKE-2007-ISC-additional images:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 393544,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-additional images.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-additional images:thumb{{size}}.png"
            },
            {
                "description": "A shell-mapped cube",
                "filetitle": "cube",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1428,
                "image_height": 755,
                "name": "JESCHKE-2007-ISC-cube.jpg",
                "type": "image/jpeg",
                "size": 567817,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-cube.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-cube:thumb{{size}}.png"
            },
            {
                "description": "A shell-mapped and environment-mapped sphere",
                "filetitle": "EnvMapI",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1018,
                "image_height": 759,
                "name": "JESCHKE-2007-ISC-EnvMapI.jpg",
                "type": "image/jpeg",
                "size": 160109,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapI.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapI:thumb{{size}}.png"
            },
            {
                "description": "Closeup of a shell-mapped and environment-mapped sphere",
                "filetitle": "EnvMapII",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1190,
                "image_height": 521,
                "name": "JESCHKE-2007-ISC-EnvMapII.jpg",
                "type": "image/jpeg",
                "size": 551482,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapII.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-EnvMapII:thumb{{size}}.png"
            },
            {
                "description": "Mapping between prisms in texture and world space",
                "filetitle": "Mapping",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1190,
                "image_height": 485,
                "name": "JESCHKE-2007-ISC-Mapping.jpg",
                "type": "image/jpeg",
                "size": 416777,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Mapping.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Mapping:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "JESCHKE-2007-ISC-Preprint.pdf",
                "type": "application/pdf",
                "size": 8140215,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-Preprint:thumb{{size}}.png"
            },
            {
                "description": "Correct shadowing with shell mapping",
                "filetitle": "shadow",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1004,
                "image_height": 761,
                "name": "JESCHKE-2007-ISC-shadow.jpg",
                "type": "image/jpeg",
                "size": 578643,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-shadow.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-shadow:thumb{{size}}.png"
            },
            {
                "description": "Shell mapped teapot with different textures",
                "filetitle": "teapots",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2430,
                "image_height": 1503,
                "name": "JESCHKE-2007-ISC-teapots.jpg",
                "type": "image/jpeg",
                "size": 2023239,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-teapots.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-teapots:thumb{{size}}.png"
            },
            {
                "description": "Tiger model with a furry shell map",
                "filetitle": "tiger",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1178,
                "image_height": 635,
                "name": "JESCHKE-2007-ISC-tiger.jpg",
                "type": "image/jpeg",
                "size": 851634,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-tiger.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-tiger:thumb{{size}}.png"
            },
            {
                "description": "A shell-mapped torus",
                "filetitle": "torus",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 948,
                "image_height": 723,
                "name": "JESCHKE-2007-ISC-torus.jpg",
                "type": "image/jpeg",
                "size": 223018,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-torus.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-torus:thumb{{size}}.png"
            },
            {
                "description": "Inside view in a torus with different shell maps applied",
                "filetitle": "torusinside",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2537,
                "image_height": 1947,
                "name": "JESCHKE-2007-ISC-torusinside.jpg",
                "type": "image/jpeg",
                "size": 3282879,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-torusinside.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-torusinside:thumb{{size}}.png"
            },
            {
                "description": "Shell mapped torus. Left: smooth mapping. Right: curved mapping.",
                "filetitle": "TorusSmoothCurved",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1981,
                "image_height": 995,
                "name": "JESCHKE-2007-ISC-TorusSmoothCurved.jpg",
                "type": "image/jpeg",
                "size": 1382791,
                "path": "Publication:JESCHKE-2007-ISC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-TorusSmoothCurved.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-TorusSmoothCurved:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 880,
                "preview_image_height": 763,
                "name": "JESCHKE-2007-ISC-video.mov",
                "type": "video/quicktime",
                "size": 31996834,
                "path": "Publication:JESCHKE-2007-ISC",
                "preview_name": "JESCHKE-2007-ISC-video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 374545,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-video.mov",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/JESCHKE-2007-ISC-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/JESCHKE-2007-ISC/",
        "__class": "Publication"
    },
    {
        "id": "malik-2007-FP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature Peeling",
        "date": "2007-05",
        "abstract": "We present a novel rendering algorithm that analyses the ray profiles along the line of sight. The profiles are subdivided according to encountered peaks and valleys at so called transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold is based on the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers. The user can scroll through the layers inspecting various features from the current view position. While our technique has been inspired by opacity peeling approach, we demonstrate that we can reveal detectable features even in the third and fourth layers for both CT and MRI datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "malik-2007-FP-.png",
            "type": "image/png",
            "size": 450032,
            "path": "Publication:malik-2007-FP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            196,
            166
        ],
        "address": "Favoritenstrasse 9-11 / E186, A-1040 Wien, Austria",
        "booktitle": "Proceedings of Graphics Interface 2007",
        "isbn": "978-1-56881-337-0",
        "lecturer": [
            607
        ],
        "pages_from": "273",
        "pages_to": "280",
        "publisher": "A K Peters Ltd",
        "research_areas": [],
        "keywords": [
            "volume visualization",
            "ray analysis",
            "feature peeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "malik-2007-FP-.png",
                "type": "image/png",
                "size": 450032,
                "path": "Publication:malik-2007-FP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "malik-2007-FP-paper.pdf",
                "type": "application/pdf",
                "size": 20190827,
                "path": "Publication:malik-2007-FP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "malik-2007-FP-Video.avi",
                "type": "",
                "size": 11972096,
                "path": "Publication:malik-2007-FP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/malik-2007-FP-Video.avi",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/malik-2007-FP/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2007-OSP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimized Subdivisions for Preprocessed Visibility",
        "date": "2007-05",
        "abstract": "This paper describes a new tool for preprocessed visibility. It puts together view space and object space partitioning in order to control the render cost and memory cost of the visibility description generated by a visibility solver. The presented method progressively refines view space and object space subdivisions while minimizing the associated render and memory costs. Contrary to previous techniques, both subdivisions are driven by actual visibility information. We show that treating view space and object space together provides a powerful method for controlling the efficiency of the resulting visibility data structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 735,
            "image_height": 880,
            "name": "MATTAUSCH-2007-OSP-.png",
            "type": "image/png",
            "size": 210985,
            "path": "Publication:MATTAUSCH-2007-OSP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            198,
            194,
            193
        ],
        "booktitle": "Proceedings of Graphics Interface 2007",
        "date_from": "2007-05-28",
        "date_to": "2007-05-30",
        "editor": "Christopher G. Healey and Edward Lank",
        "isbn": "978-1-56881-337-0",
        "lecturer": [
            326
        ],
        "location": "Montreal, Canada",
        "pages_from": "335",
        "pages_to": "342",
        "publisher": "Canadian Human-Computer Communications Society",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "visibility preprocessing",
            "potentially visible sets",
            "view cells"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 735,
                "image_height": 880,
                "name": "MATTAUSCH-2007-OSP-.png",
                "type": "image/png",
                "size": 210985,
                "path": "Publication:MATTAUSCH-2007-OSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Graphics Interface Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2007-OSP-Graphics Interface Slides.ppt",
                "type": "application/msword",
                "size": 7805440,
                "path": "Publication:MATTAUSCH-2007-OSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-Graphics Interface Slides.ppt",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2007-OSP-Preprint.pdf",
                "type": "application/pdf",
                "size": 2519208,
                "path": "Publication:MATTAUSCH-2007-OSP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/MATTAUSCH-2007-OSP-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MATTAUSCH-2007-OSP/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-06",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT",
        "date": "2007-05",
        "abstract": "This paper describes a novel method for creating surface\r\nmodels of multi-material components using dual energy\r\ncomputed tomography (DECT). Application scenario\r\nfor the presented work is metrology and dimensional\r\nmeasurement of multi-material components in industrial\r\nhigh resolution 3D X-Ray computed tomography\r\n(3DCT). The basis of this method is the dual source\r\n/ dual exposure technology using the different X-Ray\r\nimaging modalities of a high precision micro-focus and\r\na high energy macro-focus X-Ray source.\r\nThe presented work aims at combining the advantages\r\nof both X-Ray modalities in order to facilitate dimensional\r\nmeasurement of multi-material components with\r\nhigh density material within low density material. We\r\npropose a pipeline model using image fusion and local\r\nsurface extraction technologies: A prefiltering step reduces\r\ndata inherent noise. For image fusion purposes\r\nthe datasets have to be registered to each other. In the fusion\r\nstep the benefits of each modality are combined. So\r\nthe structure of the specimen is taken from the low precision,\r\nblurry, high energy dataset while the sharp edges\r\nare adopted and fused into the resulting image from the\r\nhigh precision, crisp, low energy dataset. In the final\r\nstep a reliable surface model is calculated of the fused\r\ndataset, which locally adapts the surface model by moving\r\nsurface vertices in the direction of the corresponding\r\npoint normal to a position with maximum gradient magnitude.\r\nThe major contribution of this paper is the development\r\nof a specific workflow for dimensional measurement of multi-material industrial components from high resolution\r\nindustrial CT data. Several algorithms are extended\r\nto take two data sources with complementary strengths\r\nand weaknesses into account. The presented workflow\r\nis crucial for the following visual inspection of deviations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "TR-186-2-07-06-.jpg",
            "type": "image/jpeg",
            "size": 108503,
            "path": "Publication:TR-186-2-07-06",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            613,
            166
        ],
        "number": "TR-186-2-07-06",
        "research_areas": [],
        "keywords": [
            "DECT image fusion",
            "local surface extraction",
            "metrology",
            "Dual Energy CT",
            "dimensional measurement",
            "variance comparison"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "TR-186-2-07-06-.jpg",
                "type": "image/jpeg",
                "size": 108503,
                "path": "Publication:TR-186-2-07-06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-06-paper.pdf",
                "type": "application/pdf",
                "size": 1805191,
                "path": "Publication:TR-186-2-07-06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/TR-186-2-07-06-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-06/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-07",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Event Tunnel: Interactive Visualization of Complex Event Streams for Business Process Pattern Analysis",
        "date": "2007-05",
        "abstract": "Event-based systems are gaining increasing popularity for building loosely coupled and distributed systems. Since business processes are becoming more interconnected and event-driven, event-based systems fit well for supporting and monitoring business processes. In this paper, we present an event-based business intelligence tool, the Event Tunnel framework. It provides an interactive visualization of event streams to support business analysts in exploring business cases and business processes. The visualization is based on the metaphor of considering the event stream as a cylindrical tunnel, which is presented to the user from multiple perspectives. In the Event Tunnel, relevant business events are laid out and depicted for analysts. The information of single events is encoded in event glyphs that allow for a selective mapping of event attributes to colors, size and position. Different policies for the placement of the events in the tunnel as well as a clustering mechanism generate various views on historical event data. The event tunnel is able to display the relationships between events. This facilitates users to discover root causes and causal dependencies of event patterns. Our framework couples the event-tunnel visualization with query tools that allow users to search for relevant events within a data repository. Using query, filter and highlighting operations the analyst can navigate through the Event Tunnel until the required information or event patterns become visible. We demonstrate our approach with use cases from the fraud management and logistics domain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 714,
            "name": "TR-186-2-07-07-.png",
            "type": "image/png",
            "size": 461051,
            "path": "Publication:TR-186-2-07-07",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            665,
            666,
            667,
            166
        ],
        "number": "TR-186-2-07-07",
        "research_areas": [],
        "keywords": [
            "business process visualization",
            "query-driven visualization",
            "complex event processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 714,
                "name": "TR-186-2-07-07-.png",
                "type": "image/png",
                "size": 461051,
                "path": "Publication:TR-186-2-07-07",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "technical report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-07-technical report.pdf",
                "type": "application/pdf",
                "size": 1956382,
                "path": "Publication:TR-186-2-07-07",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/TR-186-2-07-07-technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-07/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-08",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative rendering of seismic data",
        "date": "2007-05",
        "abstract": "We present multi attribute texture transfer functions for the generation of seismic illustrations. We render seismic data in the style of geological textbook illustrations by combining illustratively rendered axis aligned slices with volume rendering. We have extended the transfer function concept to map volume attributes to 2D textures that flow according to a deformation volume describing the buckling and discontinuites of the layers of the seismic data. Faults in the seismic layers are represented by texture disruptions. \n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1492,
            "image_height": 2630,
            "name": "TR-186-2-07-08-.jpg",
            "type": "image/jpeg",
            "size": 319353,
            "path": "Publication:TR-186-2-07-08",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616,
            668,
            669,
            166
        ],
        "number": "TR-186-2-07-08",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "Seismic illustration",
            "Texture transfer function",
            "Texture mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1492,
                "image_height": 2630,
                "name": "TR-186-2-07-08-.jpg",
                "type": "image/jpeg",
                "size": 319353,
                "path": "Publication:TR-186-2-07-08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-:thumb{{size}}.png"
            },
            {
                "description": "Techniques for rendering seismic data in the style of geological illustrations are investigated",
                "filetitle": "Ill. rendering of seismic data",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 1492,
                "preview_image_height": 2630,
                "name": "TR-186-2-07-08-Ill. rendering of seismic data.pdf",
                "type": "application/pdf",
                "size": 3545846,
                "path": "Publication:TR-186-2-07-08",
                "preview_name": "TR-186-2-07-08-Ill. rendering of seismic data:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 319353,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-Ill. rendering of seismic data.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/TR-186-2-07-08-Ill. rendering of seismic data:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-08/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2007-RTR",
        "type_id": "habilthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering",
        "date": "2007-05",
        "abstract": "Real-time rendering is concerned with the display of computer-generated images at rates which let a human observer believe that she is looking at a smooth animation. This thesis deals with several contributions to the field of real-time rendering that improve either the performance of rendering algorithms or the quality of the displayed images.\n\nLight-Space Perspective Shadow Maps improve the quality of real-time rendering by providing better looking shadow rendering, one of the most popular research topics in real-time rendering. Conversely, Coherent Hierarchical Culling and Guided Visibility Sampling improve the performance of real-time rendering through visibility culling. One is designed for runtime computation and the other for preprocessing. Finally, real-time rendering is extended from traditional polygon rendering to a new type of dataset that has recently gained importance, namely point clouds, especially huge datasets that cannot be loaded into main memory.\n\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 576,
            "image_height": 187,
            "name": "WIMMER-2007-RTR-.png",
            "type": "image/png",
            "size": 11119,
            "path": "Publication:WIMMER-2007-RTR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_end": "2007",
        "date_start": "2001",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 576,
                "image_height": 187,
                "name": "WIMMER-2007-RTR-.png",
                "type": "image/png",
                "size": 11119,
                "path": "Publication:WIMMER-2007-RTR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Habilitation Thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "WIMMER-2007-RTR-Habilitation Thesis.pdf",
                "type": "application/pdf",
                "size": 18506289,
                "path": "Publication:WIMMER-2007-RTR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-Habilitation Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/WIMMER-2007-RTR-Habilitation Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-RTR/",
        "__class": "Publication"
    },
    {
        "id": "balabanian-2007-ant",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sonar Explorer: A New Tool for Visualization of Fish Schools from 3D Sonar Data",
        "date": "2007-05",
        "abstract": "We present a novel framework for analysis and visualization of fish schools in 3D sonar surveys. The 3D sonar\r\ntechnology is new and there have not been applications to visualize the data in 3D. We have created an application\r\ncalled Sonar Explorer that satisfies the requirements of domain scientists. Sonar Explorer provides easy\r\nand intuitive semi-automatic fish school tracking and survey map generation. The overall pipeline is described\r\nand all pipeline stages relevant for visualization are highlighted. We present techniques to deal with 3D sonar\r\ndata specifics: highly anisotropic volume data aligned on a curvilinear grid. Domain scientists provide initial\r\nimpressions on interaction and outlook.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 397,
            "image_height": 275,
            "name": "balabanian-2007-ant-image.jpg",
            "type": "image/jpeg",
            "size": 25071,
            "path": "Publication:balabanian-2007-ant",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            673,
            171,
            674,
            675,
            166
        ],
        "booktitle": "Data Visualization - EuroVis 2007",
        "date_from": "2007-05-23",
        "date_to": "2007-05-25",
        "editor": "K. Museth, T. Möller, A. Ynnerman",
        "isbn": "9783905673456",
        "lecturer": [
            673
        ],
        "location": "Norköpping, Schweden",
        "pages_from": "155",
        "pages_to": "162",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 397,
                "image_height": 275,
                "name": "balabanian-2007-ant-image.jpg",
                "type": "image/jpeg",
                "size": 25071,
                "path": "Publication:balabanian-2007-ant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "balabanian-2007-ant-paper.pdf",
                "type": "application/pdf",
                "size": 540559,
                "path": "Publication:balabanian-2007-ant",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/balabanian-2007-ant-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/balabanian-2007-ant/",
        "__class": "Publication"
    },
    {
        "id": "burns-2007-fea",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization",
        "date": "2007-05",
        "abstract": "Dense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging\nfor a number of medical intervention applications. However, it is difficult to provide a fused visualization that\nallows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while\nnot occluding the real-time image displayed embedded within the volume.\nWe propose an importance-driven approach that presents the embedded data such that it is clearly visible along\nwith its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel\ntechniques for importance specification, feature emphasis, and contextual cutaway generation.\nWe show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound\nimage, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a\nmore opaque representation of the anatomy is exposed in the surrounding area.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 325,
            "image_height": 308,
            "name": "burns-2007-fea-image.jpg",
            "type": "image/jpeg",
            "size": 39551,
            "path": "Publication:burns-2007-fea",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            676,
            597,
            677,
            171,
            166
        ],
        "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2007)",
        "date_from": "2007-05-23",
        "date_to": "2007-05-25",
        "editor": "K. Museth, T. Möller, A. Ynnerman",
        "isbn": "9783905673456",
        "lecturer": [
            676
        ],
        "location": "Norköpping, Schweden",
        "pages_from": "275",
        "pages_to": "282",
        "publisher": "IEEE",
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 325,
                "image_height": 308,
                "name": "burns-2007-fea-image.jpg",
                "type": "image/jpeg",
                "size": 39551,
                "path": "Publication:burns-2007-fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "burns-2007-fea-paper.pdf",
                "type": "application/pdf",
                "size": 11414491,
                "path": "Publication:burns-2007-fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "burns-2007-fea-presentation.pdf",
                "type": "application/pdf",
                "size": 16305663,
                "path": "Publication:burns-2007-fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-presentation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "videos",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "burns-2007-fea-videos.zip",
                "type": "application/zip",
                "size": 21424680,
                "path": "Publication:burns-2007-fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/burns-2007-fea-videos.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/burns-2007-fea/",
        "__class": "Publication"
    },
    {
        "id": "GIEGL-2007-FVS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fitted Virtual Shadow Maps",
        "date": "2007-05",
        "abstract": "Too little shadow map resolution and resulting undersampling artifacts, perspective and projection aliasing, have long been a fundamental problem of shadowing scenes with shadow mapping.\n\nWe present a new smart, real-time shadow mapping algorithm that virtually increases the resolution of the shadow map beyond the GPU hardware limit where needed. We first sample the scene from the eye-point on the GPU to get the needed shadow map resolution in different parts of the scene. We then process the resulting data on the CPU and finally arrive at a hierarchical grid structure, which we traverse in kd-tree fashion, shadowing the scene with shadow map tiles where needed.\n\nShadow quality can be traded for speed through an intuitive parameter, with a homogeneous quality reduction in the whole scene, down to normal shadow mapping. This allows the algorithm to be used on a wide range of hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 976,
            "image_height": 938,
            "name": "GIEGL-2007-FVS-.png",
            "type": "image/png",
            "size": 804604,
            "path": "Publication:GIEGL-2007-FVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402,
            193
        ],
        "booktitle": "Proceedings of Graphics Interface 2007",
        "date_from": "2007-05-28",
        "date_to": "2007-05-30",
        "editor": "Christopher G. Healey and Edward Lank",
        "isbn": "978-1-56881-337-0",
        "lecturer": [
            402
        ],
        "location": "Montreal, Canada",
        "pages_from": "159",
        "pages_to": "168",
        "publisher": "Canadian Human-Computer Communications Society",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time shadowing",
            "shadows",
            "shadow maps",
            "large environemnts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 976,
                "image_height": 938,
                "name": "GIEGL-2007-FVS-.png",
                "type": "image/png",
                "size": 804604,
                "path": "Publication:GIEGL-2007-FVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GIEGL-2007-FVS-Preprint.pdf",
                "type": "application/pdf",
                "size": 5719113,
                "path": "Publication:GIEGL-2007-FVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/GIEGL-2007-FVS-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-FVS/",
        "__class": "Publication"
    },
    {
        "id": "GIEGL-2007-QV1",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Queried Virtual Shadow Maps",
        "date": "2007-04",
        "abstract": "Shadowing scenes by shadow mapping has long suffered from the fundamental problem of undersampling artifacts due to too low shadow map resolution, leading to so-called perspective and projection aliasing.\n\nIn this paper we present a new real-time shadow mapping algorithm capable of shadowing large scenes by virtually increasing the resolution of the shadow map beyond the GPU hardware limit.\n\nWe start with a brute force approach that uniformly increases the resolution of the whole shadow map. We then introduce a smarter version which greatly increases runtime performance while still being GPU-friendly. The algorithm contains an easy to use performance/quality-tradeoff parameter, making it tunable to a wide range of graphics hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 894,
            "image_height": 348,
            "name": "GIEGL-2007-QV1-.jpg",
            "type": "image/jpeg",
            "size": 91003,
            "path": "Publication:GIEGL-2007-QV1",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402,
            193
        ],
        "address": "New York, NY, USA",
        "booktitle": "Proceedings of ACM SIGGRAPH 2007 Symposium on Interactive 3D Graphics and Games",
        "date_from": "2007-04-30",
        "date_to": "2007-05-02",
        "isbn": "978-1-59593-628-8",
        "lecturer": [
            618
        ],
        "location": "Seattle, WA",
        "pages_from": "65",
        "pages_to": "72",
        "publisher": "ACM Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadow maps",
            "shadows",
            "real-time shadowing",
            "large environemnts"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 894,
                "image_height": 348,
                "name": "GIEGL-2007-QV1-.jpg",
                "type": "image/jpeg",
                "size": 91003,
                "path": "Publication:GIEGL-2007-QV1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GIEGL-2007-QV1-Preprint.pdf",
                "type": "application/pdf",
                "size": 8511263,
                "path": "Publication:GIEGL-2007-QV1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/GIEGL-2007-QV1-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-QV1/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-04",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing Depth-Perception with Flexible Volumetric Halos",
        "date": "2007-04",
        "abstract": "Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which makes it easier to judge occlusion.  Based on this concept, we present a flexible method for enhancing and highlighting structures of interest using GPU-based direct volume rendering. Our approach uses an interactively defined halo transfer function to classify structures of interest based on data value, direction, and position. A feature-preserving spreading algorithm is applied to distribute seed values to neighboring locations, generating a controllably smooth field of halo intensities. These halo intensities are then mapped to colors and opacities using a halo profile function. Our method can be used to annotate features at interactive frame rates.",
        "authors_et_al": false,
        "substitute": "bruckner-2007-EDF",
        "main_image": {
            "description": "Haloed volume rendering of a human skull",
            "filetitle": "Skull",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 734,
            "image_height": 734,
            "name": "TR-186-2-07-04-Skull.jpg",
            "type": "image/jpeg",
            "size": 67880,
            "path": "Publication:TR-186-2-07-04",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "number": "TR-186-2-07-04",
        "research_areas": [],
        "keywords": [
            "illustrative visualization",
            "halos",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Haloed volume rendering of a human skull",
                "filetitle": "Skull",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 734,
                "image_height": 734,
                "name": "TR-186-2-07-04-Skull.jpg",
                "type": "image/jpeg",
                "size": 67880,
                "path": "Publication:TR-186-2-07-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Skull:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-04-Technical Report.pdf",
                "type": "application/pdf",
                "size": 3595024,
                "path": "Publication:TR-186-2-07-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/TR-186-2-07-04-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-04/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-05",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Layers for Illustrative Volume Rendering",
        "date": "2007-04",
        "abstract": "Direct volume rendering techniques map volumetric attributes (e.g. density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. The specification of transfer functions is a complex task and requires expert knowledge about the underlying rendering technique. In the case of multiple volumetric attributes and multiple visual styles the specification of the multi-dimensional transfer function becomes more challenging and non-intuitive.\r\nWe present a novel methodology for the specification of a mapping from several volumetric attributes to multiple illustrative visual styles. \r\nWe introduce semantic layers that allow a domain expert to specify the mapping in the natural language of the domain. \r\nA semantic layer defines the mapping of volumetric attributes to one visual style. \r\nVolumetric attributes and visual styles are represented as fuzzy sets.\r\nThe mapping is specified by rules that are evaluated with fuzzy logic arithmetics. The user specifies the fuzzy sets and the rules without special knowledge about the underlying rendering technique. Semantic layers allow for a linguistic specification of the mapping from attributes to visual styles replacing the traditional transfer function specification.\r\n",
        "authors_et_al": false,
        "substitute": "Rautek-2007-SLI",
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "TR-186-2-07-05-.jpg",
            "type": "image/jpeg",
            "size": 167384,
            "path": "Publication:TR-186-2-07-05",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            161,
            166
        ],
        "number": "TR-186-2-07-05",
        "research_areas": [],
        "keywords": [
            "Illustrative Visualization",
            "Focus+Context Techniques",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "TR-186-2-07-05-.jpg",
                "type": "image/jpeg",
                "size": 167384,
                "path": "Publication:TR-186-2-07-05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "technical report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 512,
                "preview_image_height": 512,
                "name": "TR-186-2-07-05-technical report.pdf",
                "type": "application/pdf",
                "size": 11642453,
                "path": "Publication:TR-186-2-07-05",
                "preview_name": "TR-186-2-07-05-technical report:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 167384,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-technical report:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "video (divx)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-05-video (divx).avi",
                "type": "",
                "size": 24765278,
                "path": "Publication:TR-186-2-07-05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-video (divx).avi",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "video (mpeg4)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-05-video (mpeg4).mov",
                "type": "application/octet-stream",
                "size": 50707574,
                "path": "Publication:TR-186-2-07-05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/TR-186-2-07-05-video (mpeg4).mov",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-05/",
        "__class": "Publication"
    },
    {
        "id": "LEHNINGER-2007-SSV",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation von städtischem Verkehr",
        "date": "2007-04",
        "abstract": "The task of this thesis is the simulation of urban traffic.\r\n\r\nFor this purpose the traffic library TrafLib was developed. TrafLib is a multi-agent, micro simulation for urban traffic. It is suitable for visualisation, e.g. urban visualisation software, driving simulators, computer games, virtual reality software, and so on. It enhances them and makes them more attractive.\r\n\r\nTrafLib requires a road-network in the form of an input file. The input file must contain the description of roads and crossings, and optionally traffic lights and traffic signs. Additionally to the own file description format, the format of VRMG is also supported. VRMG is a program for creating geometry of large road-networks.\r\n\r\nThe problem of traffic calculation is solved by handling traffic rules according to the Highway Code and the “Car-Following-Theory”. The vehicles are modelled as autonomous agents. Human characteristics are imitated by three different types of driving-behaviour (cautious, normal, aggressive).\r\n\r\nThe movement of the vehicles takes place on 1-dimensional lanes. This reduces the flexibility a little, but simplifies the calculation a lot.\r\n\r\nTrafLib is able to simulate more than 5000 vehicles on a road network of the size of 3 times 3 km in real-time on a standard-PC.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            684
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "traffic simulation",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LEHNINGER-2007-SSV-thesis.pdf",
                "type": "application/pdf",
                "size": 1537458,
                "path": "Publication:LEHNINGER-2007-SSV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/LEHNINGER-2007-SSV-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/LEHNINGER-2007-SSV-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LEHNINGER-2007-SSV/",
        "__class": "Publication"
    },
    {
        "id": "MANTLER-2007-DMBBC",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Displacement Mapped Billboard Clouds",
        "date": "2007-04",
        "abstract": "This paper introduces displacement mapped billboard clouds (DMBBC), a new image-based rendering primitive for the fast display of geometrically complex objects at medium to far distances. The representation is based on the well-known billboard cloud (BBC) technique, which represents an object as several textured rectangles in order to dramatically reduce its geometric complexity. Our new method uses boxes instead of rectangles, each box representing a volumetric part of the model. Rendering the contents of a box is done entirely on the GPU using ray casting. DMBBCs will often obviate the need to switch to full geometry for closer distances, which is especially helpful for scenes that are densely populated with complex objects, e.g. for vegetation scenes. We show several ways to store the volumetric information, with different tradeoffs between memory requirements and image quality. In addition we discuss techniques to accelerate the ray casting algorithm, and a way for smoothly switching between DMBBCs for medium distances and BBCs for far distances.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 654,
            "image_height": 518,
            "name": "MANTLER-2007-DMBBC-.jpg",
            "type": "image/jpeg",
            "size": 109174,
            "path": "Publication:MANTLER-2007-DMBBC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407,
            356,
            193
        ],
        "date_from": "2007-04-30",
        "date_to": "2007-05-02",
        "event": "Symposium on Interactive 3D Graphics and Games",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "rendering acceleration",
            "billboard clouds",
            "image-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 654,
                "image_height": 518,
                "name": "MANTLER-2007-DMBBC-.jpg",
                "type": "image/jpeg",
                "size": 109174,
                "path": "Publication:MANTLER-2007-DMBBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-:thumb{{size}}.png"
            },
            {
                "description": "pdf",
                "filetitle": "poster",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MANTLER-2007-DMBBC-poster.pdf",
                "type": "application/pdf",
                "size": 9963258,
                "path": "Publication:MANTLER-2007-DMBBC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/MANTLER-2007-DMBBC-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/MANTLER-2007-DMBBC/",
        "__class": "Publication"
    },
    {
        "id": "GIEGL-2007-UNP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Unpopping: Solving the Image-Space Blend Problem for Smooth Discrete LOD Transitions",
        "date": "2007-03",
        "abstract": "This paper presents a new, simple and practical algorithm to avoid artifacts when switching between discrete levels of detail (LOD) by smoothly blending LOD representations in image space. We analyze the alternatives of conventional alpha-blending and so-called late-switching (the switching of LODs markusquote{far enough} from the eye-point), widely thought to solve the LOD switching discontinuity problem, and conclude that they either do not work in practice, or defeat the concept of LODs. In contrast we show that our algorithm produces visually pleasing blends for static and animated discrete LODs, for discrete LODs with different types of LOD representations (e.g. billboards and meshes) and even to some extent totally different objects with similar spatial extent, with a very small runtime overhead.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Unpopping",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1181,
            "image_height": 351,
            "name": "GIEGL-2007-UNP-Unpopping.png",
            "type": "image/png",
            "size": 37823,
            "path": "Publication:GIEGL-2007-UNP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402,
            193
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "1",
        "pages_from": "46",
        "pages_to": "49",
        "volume": "26",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "popping",
            "LOD switching",
            "levels of detail",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GIEGL-2007-UNP-Preprint.pdf",
                "type": "application/pdf",
                "size": 142827,
                "path": "Publication:GIEGL-2007-UNP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Preprint:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Unpopping",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1181,
                "image_height": 351,
                "name": "GIEGL-2007-UNP-Unpopping.png",
                "type": "image/png",
                "size": 37823,
                "path": "Publication:GIEGL-2007-UNP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/GIEGL-2007-UNP-Unpopping:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/GIEGL-2007-UNP/",
        "__class": "Publication"
    },
    {
        "id": "Shi_2007_PathLines",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields",
        "date": "2007-03",
        "abstract": "We describe an approach to visually analyzing the dynamic behavior of 3D\r\ntime-dependent flow fields by considering the behavior of the path lines. At\r\nselected positions in the 4D space-time domain, we compute a number of local\r\nand global properties of path lines describing relevant features of them. The\r\nresulting multivariate data set is analyzed by applying state-of-the-art information\r\nvisualization approaches in the sense of a set of linked views (scatter\r\nplots, parallel coordinates, etc.) with interactive brushing and focus+context\r\nvisualization. The selected path lines with certain properties are integrated\r\nand visualized as colored 3D curves. This approach allows an interactive exploration\r\nof intricate 4D flow structures. We apply our method to a number\r\nof flow data sets and describe how path line attributes are used for describing\r\ncharacteristic features of these flows.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            711,
            712,
            176,
            713,
            235,
            714,
            312
        ],
        "booktitle": "TopoInVis 2007: Topology-Based Methods in Visualization",
        "lecturer": [
            711
        ],
        "location": "Leipzig, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Shi_2007_PathLines-Paper.pdf",
                "type": "application/pdf",
                "size": 3323672,
                "path": "Publication:Shi_2007_PathLines",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/Shi_2007_PathLines-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/Shi_2007_PathLines-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Shi_2007_PathLines/",
        "__class": "Publication"
    },
    {
        "id": "shi-2007-pla",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Path Line Attributes - an Information Visualization Approach to Analyzing the Dynamic Behavior of 3D Time-Dependent Flow Fields",
        "date": "2007-03",
        "abstract": "We describe an approach to visually analyzing the dynamic behavior of 3D\r\ntime-dependent flow fields by considering the behavior of the path lines. At\r\nselected positions in the 4D space-time domain, we compute a number of local\r\nand global properties of path lines describing relevant features of them. The\r\nresulting multivariate data set is analyzed by applying state-of-the-art information\r\nvisualization approaches in the sense of a set of linked views (scatter\r\nplots, parallel coordinates, etc.) with interactive brushing and focus+context\r\nvisualization. The selected path lines with certain properties are integrated\r\nand visualized as colored 3D curves. This approach allows an interactive exploration\r\nof intricate 4D flow structures. We apply our method to a number\r\nof flow data sets and describe how path line attributes are used for describing\r\ncharacteristic features of these flows.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            711,
            712,
            176,
            713,
            235,
            714,
            312
        ],
        "booktitle": "Proceedings  of TopoInVis 2007",
        "date_from": "2007-03-04",
        "date_to": "2007-03-06",
        "lecturer": [
            711
        ],
        "location": "Leipzig, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "shi-2007-pla-paper.pdf",
                "type": "application/pdf",
                "size": 3323873,
                "path": "Publication:shi-2007-pla",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/shi-2007-pla/shi-2007-pla-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/shi-2007-pla/shi-2007-pla-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/shi-2007-pla/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-02",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Style Transfer Functions for Illustrative Volume Rendering",
        "date": "2007-02",
        "abstract": "Illustrative volume visualization frequently employs non-photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is difficult to integrate multiple non-photorealistic rendering approaches into a single framework due to great differences in the individual methods and their parameters. In this paper, we present the concept of style transfer functions. Our approach enables flexible data-driven illumination which goes beyond using the transfer function to just assign colors and opacities. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Style transfer functions allow us to combine a multitude of different shading styles in a single rendering. We extend this concept with a technique for curvature-controlled style contours and an illustrative transparency model. Our implementation of the presented methods allows interactive generation of high-quality volumetric illustrations.",
        "authors_et_al": false,
        "substitute": "bruckner-2007-STF",
        "main_image": {
            "description": "Illustrative volume rendering using style transfer functions",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "TR-186-2-07-02-Image.jpg",
            "type": "image/jpeg",
            "size": 101798,
            "path": "Publication:TR-186-2-07-02",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "number": "TR-186-2-07-02",
        "research_areas": [],
        "keywords": [
            "transfer functions",
            "illustrative visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Illustrative volume rendering using style transfer functions",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "TR-186-2-07-02-Image.jpg",
                "type": "image/jpeg",
                "size": 101798,
                "path": "Publication:TR-186-2-07-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-02-Technical Report.pdf",
                "type": "application/pdf",
                "size": 3388998,
                "path": "Publication:TR-186-2-07-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/TR-186-2-07-02-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-02/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-03",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature Peeling",
        "date": "2007-02",
        "abstract": "We present a novel rendering algorithm that analyses the ray profile along the line of sight during rendering and cuts it into layers, according to the peaks and valleys found, which we call transition points. The sensitivity of these transition points is calibrated via two thresholds. The slope threshold influences the magnitude of a peak following a valley, while the peeling threshold measures the depth of the transition point relative to the neighboring rays. This technique separates the dataset into a number of feature layers. The user can scroll through the layers inspecting various features from the current view position. While our technique has been inspired by opacity peeling approach [14], we demonstrate that we can reveal detectable features even in the third and forth layers for both, CT and MRI datasets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 483,
            "image_height": 483,
            "name": "TR-186-2-07-03-.png",
            "type": "image/png",
            "size": 114535,
            "path": "Publication:TR-186-2-07-03",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            607,
            196,
            166
        ],
        "number": "TR-186-2-07-03",
        "research_areas": [],
        "keywords": [
            "transfer function",
            "volume visualization",
            "feature peeling",
            "ray analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 483,
                "image_height": 483,
                "name": "TR-186-2-07-03-.png",
                "type": "image/png",
                "size": 114535,
                "path": "Publication:TR-186-2-07-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Feature Peeling",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-07-03-Feature Peeling.pdf",
                "type": "application/pdf",
                "size": 3170163,
                "path": "Publication:TR-186-2-07-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-Feature Peeling.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/TR-186-2-07-03-Feature Peeling:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-03/",
        "__class": "Publication"
    },
    {
        "id": "brandstaetter-2007-vosd",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Online Sales Databases",
        "date": "2007-02",
        "abstract": "Information Visualization today offers a wide range of techniques and approaches that\r\ncan be used to visualize and analyze business data. For the task of visualizing online sales\r\ndatabases of a hardware vendor, this thesis discusses two fields of interest and presents\r\nexemplary solutions to certain objectives of analysis. On the one hand it will deal with\r\nthe visualization of users’ interaction in an online shop (Clickstream Visualization), presenting\r\nmeans of usage-data collection, its analysis and preparation as well as visualization.\r\nThereby, a prototype is developed that generates node-link diagrams of users’\r\nclickstreams. On the other hand this thesis introduces the novel approach of Parallel\r\nCoordinated Hierarchies – a linked view consisting of a Hierarchical List and Parallel Coordinates\r\nplots for every hierarchy, visualizing sales data like turnover and contribution\r\ngrouped by attributes like time and location. As the evaluation of the concepts showed,\r\nboth prototypes’ capabilities allowed greater insights in business data than tools already\r\nin use and facilitated advanced business analyses to a great extent.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 349,
            "image_height": 178,
            "name": "brandstaetter-2007-vosd-jpg.jpg",
            "type": "image/jpeg",
            "size": 40189,
            "path": "Publication:brandstaetter-2007-vosd",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            658
        ],
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 349,
                "image_height": 178,
                "name": "brandstaetter-2007-vosd-jpg.jpg",
                "type": "image/jpeg",
                "size": 40189,
                "path": "Publication:brandstaetter-2007-vosd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-jpg:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "brandstaetter-2007-vosd-pdf.pdf",
                "type": "application/pdf",
                "size": 8167400,
                "path": "Publication:brandstaetter-2007-vosd",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/brandstaetter-2007-vosd-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/brandstaetter-2007-vosd/",
        "__class": "Publication"
    },
    {
        "id": "Ulbricht-2007-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Usability of Digital Cameras for Verifying Physically Based Rendering Systems ",
        "date": "2007-01-16",
        "abstract": "Das Ziel dieser Arbeit war es, eine einfache Szene so zu modellieren und zu rendern, dass sie so ident wie möglich zu einer digitalen Photographie ist. Dabei war klar, dass es viele Hindernisse zu überwinden galt, und den hauptsächlichen Wissensgewinn erhofften wir aus dem Verständnis für diese vielen kleinen Schritte zu erzielen. Schließlich stellten sich die Hindernisse noch umfangreicher dar als angenommen, und so schränkte sich das Thema auf die Verwendbarkeit digitaler Kameras für die Problemstellung inklusive die notwendigen Bearbeitungsschritte zur Vergleichbarkeit der Werte ein. Dabei entstand auch eine neue Methode entwickelt um die Abweichung der menschlichen Wahrnehmung von der Sensorik einer Kamera zu kompensieren. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225
        ],
        "date_end": "2007-01",
        "date_start": "2002-11",
        "rigorosum": "2007-01-16",
        "supervisor": [
            190,
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ulbricht-2007-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 50564087,
                "path": "Publication:Ulbricht-2007-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Ulbricht-2007-thesis/Ulbricht-2007-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Ulbricht-2007-thesis/Ulbricht-2007-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Ulbricht-2007-thesis/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-07-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Displacement Mapped Billboard Clouds",
        "date": "2007-01",
        "abstract": "This paper introduces displacement mapped billboard clouds (DMBBC), a new image-based rendering primitive for the fast display of geometrically complex objects at medium to far distances.\nThe representation is based on the well-known billboard cloud (BBC) technique, which represents an object as several textured rectangles in order to dramatically reduce its geometric complexity.\nOur new method uses boxes instead of rectangles, each box representing a volumetric part of the model. Rendering the contents of a box is done entirely on the GPU using ray casting. DMBBCs will often obviate the need to switch to full geometry for closer distances, which is especially helpful for scenes that are densely populated with complex objects, e.g. for vegetation scenes. We\nshow several ways to store the volumetric information, with different\ntradeoffs between memory requirements and image quality. In addition we discuss techniques to accelerate the ray casting algorithm, and a way for smoothly switching between DMBBCs for\nmedium distances and BBCs for far distances.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407,
            356,
            193
        ],
        "number": "TR-186-2-07-01",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "rendering acceleration",
            "billboard clouds",
            "image-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 654,
                "preview_image_height": 518,
                "name": "TR-186-2-07-01-paper.pdf",
                "type": "application/pdf",
                "size": 7250838,
                "path": "Publication:TR-186-2-07-01",
                "preview_name": "TR-186-2-07-01-paper:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 304209,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/TR-186-2-07-01-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/TR-186-2-07-01-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/TR-186-2-07-01/",
        "__class": "Publication"
    },
    {
        "id": "vucini_erald-2007-FRI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Face Recognition under Varying Illumination",
        "date": "2007-01",
        "abstract": "This paper proposes a novel pipeline to develop a Face Recognition System robust to illumination variation. We consider the case when only one single image per person is available during the training phase. In order to utilize the superiority of Linear Discriminant Analysis (LDA) over Principal Component Analysis (PCA) in regard to variable illumination, a number of new images illuminated from different directions are synthesized from a single image by means of the Quotient Image. Furthermore, during the testing phase, an iterative algorithm is used for the restoration of frontal illumination of a face illuminated from any arbitrary angle. Experimental results on the YaleB database show that our approach can achieve a top recognition rate compared to existing methods and can be integrated into real time face recognition system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 109,
            "preview_image_height": 116,
            "name": "vucini_erald-2007-FRI-Paper.pdf",
            "type": "application/pdf",
            "size": 588683,
            "path": "Publication:vucini_erald-2007-FRI",
            "preview_name": "vucini_erald-2007-FRI-Paper:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 4941,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636,
            637,
            166
        ],
        "address": "University of West Bohemia, Univerzitni 8, Box 314, CZ 306 14 Plzen, Czech Republic",
        "booktitle": "15th WSCG 2007",
        "date_from": "2007-01-29",
        "date_to": "2007-02-01",
        "editor": "Vaclav Skala",
        "isbn": "978-80-86943-01-5",
        "lecturer": [
            636
        ],
        "location": "Plzen, Czech Republic",
        "note": "Full Paper",
        "organization": "WSCG",
        "pages_from": "57",
        "pages_to": "64",
        "publisher": "University of West Bohemia",
        "series": "WSCG’2007 Full Papers Proceedings",
        "research_areas": [],
        "keywords": [
            "Dimensionality Reduction",
            "Face Recognition",
            "Image Synthesis",
            "Illumination Restoration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 109,
                "preview_image_height": 116,
                "name": "vucini_erald-2007-FRI-Paper.pdf",
                "type": "application/pdf",
                "size": 588683,
                "path": "Publication:vucini_erald-2007-FRI",
                "preview_name": "vucini_erald-2007-FRI-Paper:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 4941,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/vucini_erald-2007-FRI-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/vucini_erald-2007-FRI/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2007-wscg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Critical Review of the Preetham Skylight Model",
        "date": "2007-01",
        "abstract": "The Preetham skylight model is currently one of the most widely used\n  analytic models of skylight luminance in computer graphics.\n  Despite its widespread use, very little work has been carried out to verify the results generated by the model, both in terms of the luminance patterns it generates, and in terms of numerical reliability and stability.\n\nWe have implemented the model in Mathematica, visualise and discuss those parameter ranges which exhibit problematic behaviour, and compare the computed luminance values with references from literature, especially the 15 standard skylight distributions of the CIE 2003 Standard General Sky.\n\nWe also performed luminance measurements on real cloudless skies, and compare these measurements to the predictions of the model.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 694,
            "image_height": 556,
            "name": "zotti-2007-wscg-image.png",
            "type": "image/png",
            "size": 12841,
            "path": "Publication:zotti-2007-wscg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            192,
            190
        ],
        "booktitle": "WSCG ",
        "date_from": "2007-01-29",
        "date_to": "2007-02-01",
        "editor": "Vaclav Skala",
        "isbn": "978-80-86943-02-2",
        "lecturer": [
            222
        ],
        "location": "Plzen",
        "pages_from": "23",
        "pages_to": "30",
        "publisher": "University of West Bohemia",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Verification",
            "Skylight"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 694,
                "image_height": 556,
                "name": "zotti-2007-wscg-image.png",
                "type": "image/png",
                "size": 12841,
                "path": "Publication:zotti-2007-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2007-wscg-paper.pdf",
                "type": "application/pdf",
                "size": 1608608,
                "path": "Publication:zotti-2007-wscg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/zotti-2007-wscg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-wscg/",
        "__class": "Publication"
    },
    {
        "id": "Kohlmann-2007-EBV",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of a Bricked Volume Layout for a Medical Workstation based on Java",
        "date": "2007-01",
        "abstract": "Volumes acquired for medical examination purposes are constantly increasing in size. For this reason, the computer’s memory is the limiting factor for visualizing the data. Bricking is a well-known concept used for rendering large data sets. The volume data is subdivided into smaller blocks to achieve better memory utilization. Until now, the vast majority of medical workstations use a linear volume layout. We implemented a bricked volume layout for such a workstation based on Java as required by our collaborative company partner to evaluate different common access patterns to the volume data. For rendering, we were mainly interested to see how the performance will differ from the traditional linear volume layout if we generate images of arbitrarily\r\noriented slices via Multi-Planar Reformatting (MPR). Furthermore, we tested access patterns which are crucial for segmentation issues like a random access to data values and a simulated region growing. Our goal was to find out if it makes sense to change the volume layout of a medical workstation to benefit from bricking. We were also interested to identify the tasks where\r\nproblems might occur if bricking is applied. Overall, our results show that it is feasible to use a bricked volume layout in the stringent context of a medical workstation implemented in Java.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "mpr-views",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 474,
            "name": "Kohlmann-2007-EBV-mpr-views.jpg",
            "type": "image/jpeg",
            "size": 93449,
            "path": "Publication:Kohlmann-2007-EBV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "date_from": "2007-01-29",
        "date_to": "2007-02-01",
        "event": "WSCG 2007",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            605
        ],
        "location": "Plzen, Czech Republic",
        "number": "1-3",
        "pages_from": "83",
        "pages_to": "90",
        "volume": "15",
        "research_areas": [],
        "keywords": [
            "MPR",
            "Bricked Volume Layout",
            "Medical Visualization",
            "Medical Workstation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "mpr-views",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 474,
                "name": "Kohlmann-2007-EBV-mpr-views.jpg",
                "type": "image/jpeg",
                "size": 93449,
                "path": "Publication:Kohlmann-2007-EBV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-mpr-views:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kohlmann-2007-EBV-paper.pdf",
                "type": "application/pdf",
                "size": 1375913,
                "path": "Publication:Kohlmann-2007-EBV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/Kohlmann-2007-EBV-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Kohlmann-2007-EBV/",
        "__class": "Publication"
    },
    {
        "id": "Habel_2007_IAG",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Animated Grass",
        "date": "2007-01",
        "abstract": "This paper introduces a technique for rendering animated grass in real time. The technique uses front-to-back compositing of implicitly defined grass slices in a fragment shader and therefore significantly reduces the overhead associated with common vegetation rendering systems. We also introduce a texture-based animation scheme that combines global wind movements with local turbulences. Since the technique is confined to a fragment shader, it can be easily integrated into any rendering system and used as a material in existing scenes. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "grass screenshot",
            "filetitle": "grass_screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Habel_2007_IAG-grass_screenshot.jpg",
            "type": "image/jpeg",
            "size": 454916,
            "path": "Publication:Habel_2007_IAG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618,
            193,
            356
        ],
        "date_from": "2007-01-29",
        "date_to": "2007-02-02",
        "event": "WSCG",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            618
        ],
        "location": "Plzen, CZ",
        "note": "ISBN 978-80-86943-00-8",
        "number": "1-3",
        "pages_from": "123",
        "pages_to": "128",
        "volume": "15",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Real-time Rendering",
            "Natural Scene Rendering",
            "Natural Phenomena",
            "GPU Programming"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "grass screenshot",
                "filetitle": "grass_screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Habel_2007_IAG-grass_screenshot.jpg",
                "type": "image/jpeg",
                "size": 454916,
                "path": "Publication:Habel_2007_IAG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_screenshot:thumb{{size}}.png"
            },
            {
                "description": "HLSL implementation of the grass shader",
                "filetitle": "grass_shader",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_IAG-grass_shader.HLSL",
                "type": "text/plain",
                "size": 7169,
                "path": "Publication:Habel_2007_IAG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_shader.HLSL",
                "thumb_image_sizes": []
            },
            {
                "description": "Textures used in the paper",
                "filetitle": "grass_textures",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_IAG-grass_textures.zip",
                "type": "application/x-zip",
                "size": 11590868,
                "path": "Publication:Habel_2007_IAG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-grass_textures.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Video of instant animated grass",
                "filetitle": "instant_animated_grass",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_IAG-instant_animated_grass.wmv",
                "type": "text/plain",
                "size": 27782156,
                "path": "Publication:Habel_2007_IAG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-instant_animated_grass.wmv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_2007_IAG-Preprint.pdf",
                "type": "application/pdf",
                "size": 7083923,
                "path": "Publication:Habel_2007_IAG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/Habel_2007_IAG-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_2007_IAG/",
        "__class": "Publication"
    },
    {
        "id": "giegl-2007-pcg",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Computer Graphics Research, Game Development and the European GameTools Project",
        "date": "2007",
        "abstract": "Computer graphics today plays an important role in 3D computer and video\ngame creation, since all the images which are presented to the player are\nbased on principles and algorithms devised from computer graphics research.\n\nOne important aspect with regards to the believability and consecutively immersion\nof players within game worlds are shadows. Creating high-quality dynamic\nshadows in real-time is still a very open field of research. One real-time\nshadowing approach that is very appealing due to its apparent elegant simplicity\nis shadow mapping. The term \"apparent\" is used deliberately here, since\nthe elegance of shadow mapping comes at a price, namely the discretization\nof the first-hit visibility problem to a grid storing occluder depth information with\nregards to the light source. In practice this often leads to shadowing artifacts,\ndue to too little information being available to answer the visibility query with\nenough accuracy. In this thesis, a new family of shadow mapping algorithms\nis presented, which address the problem of the shadow map not containing\nenough information, This is done without requiring a shadow map grid too\nlarge to be stored in memory and which cannot be filled with depth information\nin real time. Based on a basic brute-force approach, two smart algorithms\nare presented, which work in a manner adaptive to the resolution requirements\nof the scene, speeding up the process by at least an order of magnitude.\n\nAnother problem with relevance to the practical application of computer graphics\nto games is how to render a large number of objects fast enough to give the\nplayer a high level of responsiveness (and thereby, again, immersion). Noticing\nthat due to perspective shortening objects farther away from the player do not\nneed as much detail as objects which are nearer, computer graphics has come\nup with the concept of level of detail (LOD), where farther away objects use\nsimpler representations; if done correctly, this leads to a large increase in rendering\nspeed. While LOD has been studied extensively in computer graphics,\none problem of the LOD technique dominating practical application, discrete\nLOD, has been largely ignored: In discrete LOD the simpler representations\nof an object are, as the name implies, discrete, i.e. they exist independently\nof each other. Switching between representations of different complexity by\nsimply switching the representation in use leads to a disruptive discontinuity in\nplayer perception. This thesis presents a practical algorithm, that addresses\nthis problem.\n\nLinked to this research in the computer graphics fields of shadows and level\nof detail, is the case study of the GameTools Project, a Europe-wide project,\nfunded by the European Union, which had as its agenda to bring the results\nof current computer graphics research done within the project to European\ngame developing companies and companies from neighboring fields. The author\nholds the position of Community Manager within the GameTools Project,\nand presents an overview over the project and a more detailed view of his work\nas Community Manager.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402
        ],
        "date_end": "2007-06",
        "date_start": "2004-09",
        "reviewer_1": [
            190
        ],
        "reviewer_2": [
            206
        ],
        "rigorosum": "2007-06-12",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Late draft - final version only available in print from the TU Wien library",
                "filetitle": "draft",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "giegl-2007-pcg-draft.pdf",
                "type": "application/save",
                "size": 37402433,
                "path": "Publication:giegl-2007-pcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/giegl-2007-pcg/giegl-2007-pcg-draft.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/giegl-2007-pcg/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2006-ivt",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization Techniques",
        "date": "2007",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2006-11-22",
        "event": "Kolloquiumam Inst. f. Informatik",
        "location": "Universität Rostock, Deutschland",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2006-ivt/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-csu",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Science -- Überblick und eigene Forschungsleistungen",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-10-10",
        "event": "eingeladener Gastvortrag an der Fakultät für Informatik",
        "location": "Technische Universität Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-csu/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-fci",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Focus+Context in Illustrative Visualization",
        "date": "2007",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-06-13",
        "event": "Keynote talk at TPCG 07",
        "location": "University of Wales, Bangor, UK",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-fci/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-mva",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Medical Visualization: Articular Cartilage Visualization and other Examples",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-02-23",
        "event": "Bergen Bildebehandlings Gruppe (BBG) Seminar",
        "location": "Dep. of Mathematics, University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-mva/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-vis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization -- I see it my way",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-05-22",
        "event": "NorVis 2007",
        "location": "University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-vis/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-visII",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization -- I see it my way II",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-07-26",
        "event": "Seminar: Scientific Visualization",
        "location": "Dagstuhl, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-visII/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2007-vws",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization with Style",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2007-11-02",
        "event": "Distinguished Lecture Series",
        "location": "Scientific Computing and Imaging Institute, University of Utah",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/groeller-2007-vws/",
        "__class": "Publication"
    },
    {
        "id": "Habel_07_xms",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-mas 2007",
        "date": "2007",
        "abstract": "Die gezeigte Szene ist mit einer Poisson-gefilterten Shadow Map \ndynamisch beleuchtet und wird mittels DirectX 10 dargestellt. \nDie Tanne besteht aus insgesamt 60.032 teilweise transparenten Dreiecken.\n\nAlle Oberflächen sind mit Normal Maps versehen, \ndie bei der Tanne und dem schneebedeckten Gelände \nmit multi-bounce Ambient Occlusion kombiniert werden. \nEin modifizierter Reinhard Tone Mapper mit Glare-Filter \nsorgt für eine realistische Darstellung bei 60 Bildern pro Sekunde.\n\n\n\nThe shown scene is dynamically lit with a Poisson-filtered shadow map \nand displayed using DirectX 10. The fir tree consists of 60,032 partly transparent triangles. \nAll surfaces are normal mapped, which is combined with multi-bounce ambient occlusion \nfor the fir tree and the snow-covered terrain. \nA modified Reinhard tone mapper with a glare filter realistically displays the scene at 60 frames per second.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "xmas card front",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 722,
            "name": "Habel_07_xms-image.jpg",
            "type": "image/jpeg",
            "size": 306325,
            "path": "Publication:Habel_07_xms",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            618
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "x-mas"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Christmas card",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Habel_07_xms-Christmas card.pdf",
                "type": "application/pdf",
                "size": 27810588,
                "path": "Publication:Habel_07_xms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-Christmas card:thumb{{size}}.png"
            },
            {
                "description": "xmas card front",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 722,
                "name": "Habel_07_xms-image.jpg",
                "type": "image/jpeg",
                "size": 306325,
                "path": "Publication:Habel_07_xms",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/Habel_07_xms-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination",
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Habel_07_xms/",
        "__class": "Publication"
    },
    {
        "id": "tut-vis-2007",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE Visualization Tutorial on Illustrative Display and Interaction in Visualization",
        "date": "2007",
        "abstract": "The area of illustrative visualization is concerned with developing methods to enhance the\ndepiction of scientific data based on principles founded in traditional illustration. The\nillustration community has century-long experience in adapting their techniques to human\nperceptual needs in order to generate an effective depiction which conveys the desired\nmessage. Thus, their methods can provide us with important insights into visualization\nproblems.\nIn this tutorial, the concepts in illustrative visualization are reviewed. An important aspect here\nis interaction: while traditional illustrations are commonly only presented as static images,\ncomputer-assisted visualization enables interactive exploration and manipulation of complex\nscientific data. Only by coupling illustrative visualization with effective interaction techniques\nits full potential can be exploited.\nThe tutorial starts with a general introduction into the area of illustrative visualization. The\nconcept of importance-driven visualization and its applications are presented. Then we proceed with a discussion how traditional abstraction techniques can be applied in an\ninteractive context using importance-based methods. This ranges from low-level appearance\nto smart viewpoint-dependent visibility techniques such as cutaways or exploded views.\nFurther advanced manipulation strategies are discussed in the third part. The use\ndeformations to enhance visibility of certain features while providing context or to abstract the\nstructure of a complex objects through direct interaction with the data is examined. As many\nof the presented methods rely on a separation of focus and context, i.e., the important\nstructures in the data have been identified, the tutorial discusses approaches for selecting\nobjects of interest in a three-dimensional environment using intuitive sketch-based interfaces.\nSince the effectiveness of a user-interface is heavily dependent on the previous knowledge of\nthe user, the last part of the tutorial examines the concept of layering interfaces based on\nuser expertise. Finally, the application of illustrative display and interaction techniques for\nnon-traditional modalities such as mobile devices concludes the tutorial.\n\nIEEE Visualization 2007 Tutorial Page: http://vis.computer.org/vis2007/session/tutorials.html#t7\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2006 Tutorial on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ \n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 612,
            "image_height": 952,
            "name": "tut-vis-2007-.jpg",
            "type": "image/jpeg",
            "size": 124087,
            "path": "Publication:tut-vis-2007",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            161,
            565,
            564,
            694
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 612,
                "image_height": 952,
                "name": "tut-vis-2007-.jpg",
                "type": "image/jpeg",
                "size": 124087,
                "path": "Publication:tut-vis-2007",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/tut-vis-2007-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/tut-vis-2007/",
        "__class": "Publication"
    },
    {
        "id": "Wenigwieser2007",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Convolution Shadow Maps",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            720
        ],
        "supervisor": [
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Wenigwieser2007/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2007-GAR",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gametools: Advanced Rendering Effects for Next-Gen Engines",
        "date": "2007",
        "abstract": "The GameTools Project is an EU project from the 6th Framework Programme that brings together leading European computer graphics experts from universities in Austria, France, Hungary and Spain with European industrial partners from the fields of computer game development and virtual reality to create next generation real-time 3D libraries for Geometry, Visibility and Global Illumination for the PC platform, with an extension to consoles PS2, XBox, PS3, XBox 360 planned.\n\nWith the project now completed after 3 years, this talk will introduce you to the advanced technology available partly as Open Source, partly under licensing. The project comprises technologies such as continuous multiresolution models for animated characters, massive tree rendering, robust PVS generation for visiblity determination of arbitrarily large game levels, and real-time global illumination effects such as soft shadows, real-time radiosity, caustics, cloud rendering, and many more.\n\nThe effects created in the GameTools project are available as plugins that can be incorporated into any game engine, and are demonstrated with the Open Source Ogre engine.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2007-08-20",
        "date_to": "2007-08-22",
        "event": "Games Convention Developers Conference 2007",
        "location": "Leipzig, Germany",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/WIMMER-2007-GAR/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2007-PhD",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics in Historical and Modern Sky Observations",
        "date": "2007",
        "abstract": "This work describes work done in three areas of research where sky observations meet\ncomputer graphics. The whole topic covers several millennia of human history\nand posed combined challenges from fields including archaeology, astronomy,\ncultural heritage, digital image processing and computer graphics.\n\nThe first part presents interdisciplinary work done in the fields of\narchaeo-astronomy, visualisation and virtual reconstruction. A novel diagram\nhas been developed which provides an intuitive, easy visualisation to\ninvestigate archaeological survey maps for evidence of astronomically\nmotivated orientation of buildings. This visualisation was developed and first\napplied to a certain class of neolithic circular structures in Lower Austria\nin order to investigate the idea of solar orientation of access doorways.\nThis diagram and its intuitive interpretation allowed the author to set up a new\nhypothesis about practical astronomical activities in the middle neolithic\nperiod in central Europe.\n\nHow virtual reconstructions of these buildings characteristic for a short time\nduring the neolithic epoch can be combined with the excellent sky simulation\nof a modern planetarium to communicate these results to a broader audience is\ndescribed thereafter.\n\nThe second part of this work describes a certain class of historical scientific\ninstruments for sky observations and its reconstruction with methods of\ncomputer graphics.\nLong after the stone age, in the Middle Ages, the astrolabe was the most celebrated\ninstrument for celestial observations and has been explained in contemporary\nliterature, usually with the help of precomputed tables for a certain size or\nkind of instrument. Today, historical exhibitions frequently present one of\nthese instruments, but its various applications are hard to explain to the\ngeneral audience without hands-on demonstration.\nFor this challenge from the cultural heritage domain,\nan approach using the idea of procedural modelling is presented. Here, a\ncomputer graphics model is not statically drawn but specified by parametrised\nplotting functions, which can then be repeatedly executed with different\nparameters to create the final model. This approach is demonstrated to provide\na very flexible solution which can immediately be applied to specific needs\njust by tweaking a few parameters, instead of having to repetitively draw the whole model manually.\nFrom the two-dimensional procedural model, 3D models can be easily created,\nand even the production of wooden instruments on a Laser engraver/plotter is\ndemonstrated.\n\nThe third and longest part deals with methods of sky simulation and rendering\nin the domain of computer graphics.  In this discipline, modelling of skylight\nand atmospheric effects has developed tremendously over the last two decades,\nwhich is covered by an extensive survey of literature from the computer\ngraphics and also atmosphere physics domains.\n\nThe requirements of physically correct or at least plausible rendering include\nrealistic values for sky brightness.  Measurements performed with a luminance\nmeter on a clear sky in order to verify the currently most widely used\nanalytic skylight model [Preetham 1999] shows however its limited\napplicability.\n\nThere are two classical groups of clear-sky models: numerical simulations of\nscattering in the atmosphere, and fast analytical models.  Recently, another\nmethod for more realistic looking skylight models has been developed: digital\nimages taken with a fisheye lens are combined into high dynamic range images\nwhich can be used for scene illumination and as sky background. These\nimages can be calibrated by photometric measurements of absolute luminance\nvalues. Long-time exposures allow to apply this system to quantitative\ninvestigations of sky brightness, sky colours, and also nocturnal light pollution by artificial\nillumination. Results and other applications of the system are described, and\nthe pipeline for creating such images is described in the appendix.\n\nThis work closes with some notes of future directions of research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "date_end": "2007-11",
        "date_start": "2005-01",
        "supervisor": [
            190,
            192
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Astrolabe",
            "Archaeo-Astronomy",
            "Skydome Visualisation",
            "Cultural Heritage",
            "Sky Measurements"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2007-PhD-pdf.pdf",
                "type": "application/pdf",
                "size": 54148272,
                "path": "Publication:zotti-2007-PhD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/zotti-2007-PhD-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/zotti-2007-PhD-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/zotti-2007-PhD/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2007-O3D",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Caricaturistic Visualization of Deformation Data Based on High Density Point Clouds",
        "date": "2007",
        "abstract": "Modern deformation monitoring techniques offer possibilities to measure and analyze deformation processes in detail. There are various different sensor systems on the market that can be used in these application fields, each having specific features in terms of accuracy, robustness, user interaction, operational range, measurement speed and frequency, resolution, or other relevant parameters. The selection of an appropriate sensor system for a particular application is not trivial.\r\n\r\nIn recent years research on image-based measurement systems and laser scanners has gained increasing interest – in many cases a combination of different sensors has advantages over a single-sensor system (e.g. different accuracy and reliability classes, different measurement range, etc.).\r\n\r\nThe point clouds produced by such systems potentially consist of a vast number of points. One of the main problems concerning the analysis and interpretation of deformation measurements is the visualization of the data respectively of the underlying deformation. In this paper we present the application of the recently developed caricaturistic visualization method to deformation data based on high density point clouds. Caricaturistic visualization depicts the deformation data in an exaggerated way. The exaggeration of the deformation accents subtle deviations and supports the viewer for the correct interpretation of the underlying deformation. We show results for facade deformation data as well as for landslide data.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 416,
            "name": "Rautek-2007-O3D-.jpg",
            "type": "image/jpeg",
            "size": 257841,
            "path": "Publication:Rautek-2007-O3D",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            664,
            166
        ],
        "booktitle": "8th Conference on Optical 3-D Measurement Techniques, Zurich, Switzerland",
        "date_from": "2007-07-09",
        "date_to": "2007-07-12",
        "research_areas": [],
        "keywords": [
            "Point Cloud",
            "Deformation Measurement",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 416,
                "name": "Rautek-2007-O3D-.jpg",
                "type": "image/jpeg",
                "size": 257841,
                "path": "Publication:Rautek-2007-O3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek-2007-O3D-poster.pdf",
                "type": "application/pdf",
                "size": 9353734,
                "path": "Publication:Rautek-2007-O3D",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/Rautek-2007-O3D-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Rautek-2007-O3D/",
        "__class": "Publication"
    },
    {
        "id": "riegler_topal_2007",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Soft Shadow Maps with Backprojection",
        "date": "2007",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            722,
            723
        ],
        "supervisor": [
            452
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/riegler_topal_2007/",
        "__class": "Publication"
    },
    {
        "id": "Selig-2007-VegAnim",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vorberechnete interaktive physikalisch-basierte Animation von Vegetation am Beispiel Gras",
        "date": "2007",
        "abstract": "In dieser Arbeit wird ein Ansatz zur Simulation der Bewegung von Vegetation (Gräser, Sträucher und Bäumen) vorgestellt. Die Hauptneuerung in diesem Verfahren ist die Trennung der Berechnung der Bewegungen (Präprozess) von der tatsächlichen Durchführung der Animation (Laufzeitsystem). Durch diese Teilung muss der Präprozess nicht in Echtzeit ablaufen, wodurch aufwendigere physikalisch-basierte Berechnungen möglich werden. Der Laufzeitprozess benutzt die vorberechneten Daten, um die Bewegung der Vegetation durchzuführen. Die Visualisierung wird durch Anwendung der Daten auf Billboards umgesetzt.\n\nBeim Präprozess wird besonderes Gewicht auf den modularen Aufbau gelegt, wodurch eine leichte Anpassung an verschiedene Szenarien möglich wird. Der Präprozess gliedert sich in drei Hauptkomponenten. Der erste Bereich ist das parametrisierte 3D-D0L-System zur Erstellung der Vegetation, welche zu Simulationszwecken in Partikelsysteme überführt werden. Der zweite Bereich betrifft die normalverteilte 4D-Perlinnoisestruktur zur Simulation verschieden wirkender Kräfte. Zusammengeführt werden diese beiden Bereiche in einem dynamischen Feder-Dämpfer-Masse-System zur Berechnung der Bewegungsdaten. Die Speicherung erfolgt in einer visuell kontrollierbaren 3D-Textur.\n\nMit dieser Anordnung ist es möglich, realistische Vegetationsbewegungen zu erstellen, aktuelle Probleme des ‚State of the Art’ zu lösen und diese in einer schnell zugreifbaren Datenstruktur für verschiedene Anwendungen zu erhalten.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            620
        ],
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "Vegetation Animation",
            "L-Systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Masters thesis",
                "filetitle": "thesis",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Selig-2007-VegAnim-thesis.pdf",
                "type": "application/pdf",
                "size": 3281338,
                "path": "Publication:Selig-2007-VegAnim",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/Selig-2007-VegAnim-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/Selig-2007-VegAnim-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Selig-2007-VegAnim/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2007-iva",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis for Engineering Applications",
        "date": "2007",
        "abstract": "Visualization has been used in engineering applications from its early days. Traditionally, scientific visualization techniques were\r\nextensively used in this field. We in VRVis have started to combine various visualization techniques and applying them to\r\nengineering data. From the data point of view, we deal with two different kinds of data. The first one comes from 3D CFD\r\nsimulation, and the second one follows an unusual data model which will be described. This data comes from a series of 1D CFD\r\nsimulations. It is a special case of multidimensional data. The main difference is that certain dimensions can contain mappings\r\n(1D, 2D, ... functions) and not only scalar values as basic items. We will present various innovative interactive visualization\r\ntechniques applied to such a model. The curve view, segmented curve view and color lines view are only a subset of these. [...]",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235
        ],
        "date_from": "2007-05-21",
        "date_to": "2007-05-22",
        "event": "NorVis 2007",
        "location": "Bergen, Norwegen",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/matkovic-2007-iva/",
        "__class": "Publication"
    },
    {
        "id": "mattausch-2007-iav",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "1.\tAdaptive Visibility-Driven View Cell Construction",
        "date": "2007",
        "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326
        ],
        "date_from": "2007-12",
        "event": "Konversatorium",
        "location": "Prague University of Technology",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "visibiility",
            "view cells"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/mattausch-2007-iav/",
        "__class": "Publication"
    },
    {
        "id": "neumann-2006-gamma",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accurate Display Gamma Functions based on Human Observation",
        "date": "2007",
        "abstract": "This paper describes an accurate method to obtain the\nTone Reproduction Curve (TRC) of display devices without using\na measurement device. It is an improvement of an existing technique\nbased on human observation, solving its problem of numerical instability\nand resulting in functions in log--log scale which correspond better\nto the nature of display devices.\nWe demonstrate the effiency of our technique on different monitor\ntechnologies, comparing it with direct measurements using a\nspectrophotometer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 280,
            "name": "neumann-2006-gamma-image.png",
            "type": "image/png",
            "size": 6781,
            "path": "Publication:neumann-2006-gamma",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            232,
            191,
            177,
            222,
            190
        ],
        "issn": "0361-2317",
        "journal": "Color Research & Applications",
        "note": "2006 angenommen, 2007 erschienen",
        "number": "4",
        "pages_from": "310",
        "pages_to": "319",
        "volume": "32",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Generalized Gamma Function",
            "Colour Reproduction",
            "Display Measurement",
            "Human Visual System",
            "Spatial Vision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 280,
                "name": "neumann-2006-gamma-image.png",
                "type": "image/png",
                "size": 6781,
                "path": "Publication:neumann-2006-gamma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "neumann-2006-gamma-paper.pdf",
                "type": "application/pdf",
                "size": 457864,
                "path": "Publication:neumann-2006-gamma",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/neumann-2006-gamma-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/neumann-2006-gamma/",
        "__class": "Publication"
    },
    {
        "id": "Knecht_Schwaerzler_2008_ash",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Soft Shadows Using Adaptive Subdivision",
        "date": "2007",
        "abstract": "We render soft shadows using shadow mapping and adaptive subdivision of the light source based on the visibility difference between adjacent light source samples.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "startscreen",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 773,
            "image_height": 599,
            "name": "Knecht_Schwaerzler_2008_ash-startscreen.jpg",
            "type": "image/jpeg",
            "size": 101993,
            "path": "Publication:Knecht_Schwaerzler_2008_ash",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-startscreen.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-startscreen:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            678,
            736
        ],
        "matrikelnr": "0325222 / 0326294",
        "note": "1",
        "supervisor": [
            326
        ],
        "research_areas": [],
        "keywords": [
            "Shadow Mapping",
            "Real Time Rendering",
            "Soft Shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "manual + executable",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 773,
                "preview_image_height": 599,
                "name": "Knecht_Schwaerzler_2008_ash-manual + executable.zip",
                "type": "application/x-zip",
                "size": 8826786,
                "path": "Publication:Knecht_Schwaerzler_2008_ash",
                "preview_name": "Knecht_Schwaerzler_2008_ash-manual + executable:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 101993,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-manual + executable.zip",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-manual + executable:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "source code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Knecht_Schwaerzler_2008_ash-source code.zip",
                "type": "application/x-zip",
                "size": 9973500,
                "path": "Publication:Knecht_Schwaerzler_2008_ash",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-source code.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "startscreen",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 773,
                "image_height": 599,
                "name": "Knecht_Schwaerzler_2008_ash-startscreen.jpg",
                "type": "image/jpeg",
                "size": 101993,
                "path": "Publication:Knecht_Schwaerzler_2008_ash",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-startscreen.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/Knecht_Schwaerzler_2008_ash-startscreen:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Knecht_Schwaerzler_2008_ash/",
        "__class": "Publication"
    },
    {
        "id": "LIPP-2007-CGA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Computer Generated Architecture",
        "date": "2007",
        "abstract": "The creation of visually convincing architectural models using traditional modeling methods is a labor intensive task. Procedural modeling techniques strive to reduce the manual work an artist has to perform when modeling architecture. In previous work, those techniques were successfully applied to the creation of architecture. However, previous methods have a limited usability, as they are based on text editing. This makes modeling unintuitive and diminishes the advantages of procedural modeling.\n\nTherefore, methods to interactively create procedural architecture, using a graphical user interface, are explored in this thesis. As interactivity also requires real-time rendering performance, methods to accelerate the generation of architecture are investigated. Further, the thesis provides a detailed report on previous procedural architecture generation techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 576,
            "image_height": 338,
            "name": "LIPP-2007-CGA-.jpg",
            "type": "image/jpeg",
            "size": 89121,
            "path": "Publication:LIPP-2007-CGA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            680
        ],
        "date_end": "2007",
        "date_start": "2007",
        "matrikelnr": "0125260",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "computer generated architecture",
            "procedural modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 576,
                "image_height": 338,
                "name": "LIPP-2007-CGA-.jpg",
                "type": "image/jpeg",
                "size": 89121,
                "path": "Publication:LIPP-2007-CGA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LIPP-2007-CGA-Thesis.pdf",
                "type": "application/pdf",
                "size": 10045616,
                "path": "Publication:LIPP-2007-CGA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/LIPP-2007-CGA-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GAMEWORLD"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/LIPP-2007-CGA/",
        "__class": "Publication"
    },
    {
        "id": "Luksch_2007_RHR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realtime HDR Rendering",
        "date": "2007",
        "abstract": "High dynamic range rendering in realtime graphics has increased the visual quality of realtime scenes essentially.\r\nThere are several techniques of HDR-Rendering. This work summarizes the theoretical background and results\r\nof previous works. A ready-to-use HDR rendering library has been developed that integrates seamlessly into the\r\nopen source graphics engine Ogre3D. Further a comparison that show the advantages and disadvantages\r\nof different techniques in a realtime rendered scene has been made.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "HDR_Screenshot",
            "filetitle": "HDR_Screenshot",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 768,
            "name": "Luksch_2007_RHR-HDR_Screenshot.PNG",
            "type": "image/png",
            "size": 497211,
            "path": "Publication:Luksch_2007_RHR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot.PNG",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            659
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "HDR",
            "Realtime Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "HDR_Screenshot",
                "filetitle": "HDR_Screenshot",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 768,
                "name": "Luksch_2007_RHR-HDR_Screenshot.PNG",
                "type": "image/png",
                "size": 497211,
                "path": "Publication:Luksch_2007_RHR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot.PNG",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-HDR_Screenshot:thumb{{size}}.png"
            },
            {
                "description": "Realtime HDR Rendering( <a href = \"http://www.ogre3d.org/wiki/index.php/HDRlib\"> Ogre Wiki</a>",
                "filetitle": "RealtimeHDR ",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Luksch_2007_RHR-RealtimeHDR .pdf",
                "type": "application/pdf",
                "size": 5200434,
                "path": "Publication:Luksch_2007_RHR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-RealtimeHDR .pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/Luksch_2007_RHR-RealtimeHDR :thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Luksch_2007_RHR/",
        "__class": "Publication"
    },
    {
        "id": "mantler-2007-rtv",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Vegetation Rendering",
        "date": "2007",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407
        ],
        "date_end": "2007-03",
        "date_start": "2003-06",
        "supervisor": [
            176,
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mantler-2007-rtv-pdf.pdf",
                "type": "application/pdf",
                "size": 68288941,
                "path": "Publication:mantler-2007-rtv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/mantler-2007-rtv/mantler-2007-rtv-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/mantler-2007-rtv/mantler-2007-rtv-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/mantler-2007-rtv/",
        "__class": "Publication"
    },
    {
        "id": "beck-2007-melk",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Licht aus der Finsternis",
        "date": "2007",
        "abstract": "Vor 550 Jahren, am 3.9.1457, beobachteten Georg von Peuerbach und Johannes Regiomontanus in Melk eine totale Mondfinsternis. 300 Jahre später lud Georg Mathias Bose zu einem Jubiläumssymposium nach Wittenberg, da in seinen Augen durch diese Beobachtung die Astronomie wiedererweckt worden war. Was war an dieser - gar nicht besonders langen - Mondfinsternis so besonders?\r\n\r\nDer Vortrag gibt Einblick in die Schätze der Bibliothek Melk, Verbindungen zwischen Melk und der Wiener Universität, und Methoden und Instrumente der mittelalterlichen Astronomie (mit Demonstrationen an  Instrument-Nachbauten).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            682,
            222
        ],
        "date_from": "2007-09-23",
        "event": "Vortragsabend",
        "location": "Stift Melk",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/beck-2007-melk/",
        "__class": "Publication"
    },
    {
        "id": "Buerger-2007-cmv",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive cross-detector analysis of vortical flow data",
        "date": "2007",
        "abstract": "In this paper we discuss the application of multiple\r\nlinked views for advanced vortex investigation in flow data. Local\r\nfeature detectors and additional measures integrate into an\r\ninteractive flow feature detection system based on multiple linked\r\nviews. We discuss how linking and brushing of derived feature\r\ninformation can lead to increased performance in interactive feature\r\nanalysis. In a case study we demonstrate how the possibility to\r\nintegrate the information of multiple detectors leads to sound\r\nunderstanding of vortex type features. Enhanced credibility and\r\ncombined advantages of several detectors can be achieved by uniting\r\nthe results of multiple feature detectors in multiple coordinated\r\nviews.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Multiple views and smooth brushing for vortex analysis",
            "filetitle": "Figure1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1978,
            "image_height": 1028,
            "name": "Buerger-2007-cmv-Figure1.png",
            "type": "image/png",
            "size": 441549,
            "path": "Publication:Buerger-2007-cmv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            661,
            662,
            212,
            176
        ],
        "booktitle": "Proceedings of CMV 2007",
        "lecturer": [
            661
        ],
        "pages_from": "98",
        "pages_to": "110",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Multiple Views",
            "Vortex",
            "Flow Visualization",
            "Multiple Detectors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Multiple views and smooth brushing for vortex analysis",
                "filetitle": "Figure1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1978,
                "image_height": 1028,
                "name": "Buerger-2007-cmv-Figure1.png",
                "type": "image/png",
                "size": 441549,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure1:thumb{{size}}.png"
            },
            {
                "description": "Combining multiple detectors using linked views",
                "filetitle": "Figure2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 855,
                "name": "Buerger-2007-cmv-Figure2.png",
                "type": "image/png",
                "size": 123363,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure2:thumb{{size}}.png"
            },
            {
                "description": "PQ-Plot",
                "filetitle": "Figure3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 739,
                "name": "Buerger-2007-cmv-Figure3.png",
                "type": "image/png",
                "size": 567462,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure3:thumb{{size}}.png"
            },
            {
                "description": "Correlating several detectors",
                "filetitle": "Figure4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1981,
                "image_height": 900,
                "name": "Buerger-2007-cmv-Figure4.png",
                "type": "image/png",
                "size": 763819,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure4.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure4:thumb{{size}}.png"
            },
            {
                "description": "Feature localization analysis",
                "filetitle": "Figure5",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1995,
                "image_height": 887,
                "name": "Buerger-2007-cmv-Figure5.png",
                "type": "image/png",
                "size": 851641,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure5.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure5:thumb{{size}}.png"
            },
            {
                "description": "Analysis of the tumbling motion inside the combustion chamber",
                "filetitle": "Figure6",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 666,
                "name": "Buerger-2007-cmv-Figure6.png",
                "type": "image/png",
                "size": 458780,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure6.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure6:thumb{{size}}.png"
            },
            {
                "description": "Further investigation of optimal mixing",
                "filetitle": "Figure7",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2000,
                "image_height": 662,
                "name": "Buerger-2007-cmv-Figure7.png",
                "type": "image/png",
                "size": 383182,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure7.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure7:thumb{{size}}.png"
            },
            {
                "description": "Analysis of gasket vortices",
                "filetitle": "Figure8",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2661,
                "image_height": 942,
                "name": "Buerger-2007-cmv-Figure8.png",
                "type": "image/png",
                "size": 1044524,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure8.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure8:thumb{{size}}.png"
            },
            {
                "description": "Interactive comparision of two vortices",
                "filetitle": "Figure9",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2604,
                "image_height": 935,
                "name": "Buerger-2007-cmv-Figure9.png",
                "type": "image/png",
                "size": 459481,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure9.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Figure9:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Buerger-2007-cmv-Paper.pdf",
                "type": "application/pdf",
                "size": 1446532,
                "path": "Publication:Buerger-2007-cmv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/Buerger-2007-cmv-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-cmv/",
        "__class": "Publication"
    },
    {
        "id": "Buerger-2007-eurovis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating Local Feature Detectors in the Interactive Visual Analysis of Flow Simulation Data",
        "date": "2007",
        "abstract": "We present smooth formulations of common vortex detectors that allow\r\na seamless integration into the concept of interactive visual\r\nanalysis of flow simulation data. We express the originally binary\r\nfeature detectors as fuzzy-sets that can be combined using the\r\nlinking and brushing concepts of interactive visual analysis. Both\r\ninteraction and visualization gain from having multiple detectors\r\nconcurrently available and from the ability to combine them. An\r\napplication study on automotive data reveals how these vortex\r\ndetectors combine and perform in praxis.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A glyph based visualization of flow through a cooling jacket. The design of the casket causes a strong vortex that increases mixing of hot and cold fluid.",
            "filetitle": "Vortex",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 535,
            "name": "Buerger-2007-eurovis-Vortex.jpg",
            "type": "image/jpeg",
            "size": 83021,
            "path": "Publication:Buerger-2007-eurovis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            661,
            662,
            1303,
            212,
            176
        ],
        "booktitle": "Proceedings of Eurographics/ IEEE-VGTC Symposium on Visualization 2007",
        "editor": "K. Museth, T. Möller, A. Ynnerman",
        "isbn": "9783905673456",
        "lecturer": [
            661
        ],
        "pages_from": "171",
        "pages_to": "178",
        "research_areas": [],
        "keywords": [
            "Interactive visual analysis",
            "Fuzzy classifier",
            "Vortex detector",
            "Cooling jacket"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Combination of smooth featrue detectors and interactive visual analysis",
                "filetitle": "Figure1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 6575,
                "image_height": 2346,
                "name": "Buerger-2007-eurovis-Figure1.png",
                "type": "image/png",
                "size": 1225837,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure1:thumb{{size}}.png"
            },
            {
                "description": "Major components of flow through the cooling jacket",
                "filetitle": "Figure2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 680,
                "image_height": 452,
                "name": "Buerger-2007-eurovis-Figure2.jpg",
                "type": "image/jpeg",
                "size": 44965,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure2:thumb{{size}}.png"
            },
            {
                "description": "A feature based focus+context visualizaion showing regions of near stagnant, hot flow with medium to high levels of the lambda2 vortex detector",
                "filetitle": "Figure3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3756,
                "image_height": 1275,
                "name": "Buerger-2007-eurovis-Figure3.png",
                "type": "image/png",
                "size": 1512644,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure3:thumb{{size}}.png"
            },
            {
                "description": "Turbulent region behind cooling jacket gasket",
                "filetitle": "Figure4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 3693,
                "image_height": 1250,
                "name": "Buerger-2007-eurovis-Figure4.png",
                "type": "image/png",
                "size": 1989001,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure4.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Figure4:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Buerger-2007-eurovis-Paper.pdf",
                "type": "application/pdf",
                "size": 799517,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Paper:thumb{{size}}.png"
            },
            {
                "description": "Presentation given at EuroVis07 Conference",
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Buerger-2007-eurovis-Presentation.pdf",
                "type": "application/pdf",
                "size": 3151315,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Presentation:thumb{{size}}.png"
            },
            {
                "description": "This video shows basic ideas and results and demonstrates the interactiveness of the approach.",
                "filetitle": "Video",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Buerger-2007-eurovis-Video.avi",
                "type": "",
                "size": 9312914,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Video.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "A glyph based visualization of flow through a cooling jacket. The design of the casket causes a strong vortex that increases mixing of hot and cold fluid.",
                "filetitle": "Vortex",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 535,
                "name": "Buerger-2007-eurovis-Vortex.jpg",
                "type": "image/jpeg",
                "size": 83021,
                "path": "Publication:Buerger-2007-eurovis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/Buerger-2007-eurovis-Vortex:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/Buerger-2007-eurovis/",
        "__class": "Publication"
    },
    {
        "id": "buerger-2007-star",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Multi-variate Scientific Data",
        "date": "2007",
        "abstract": "In this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We focus on ''non-classical'' approaches, i.e. approaches which haven't been discussed in previous related reports, and we highlight techniques which potentially lead towards new directions in visualization research. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors, and tensors. We\r\n also provide a categorization of these techniques in the aim for a better\r\n overview of related approaches. In the second part of this paper we take a\r\n look at recent techniques that are useful for the visualization of complex data\r\n sets either because they are general purpose or because they can be adapted to specific\r\n problems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Visualization research is developing from classical 3D structured scalar visualization. the use of techniques that allow the visualization of time-dependent, complex and multi-variate data in a useful way will be a key to successful visualization applications in the future.",
            "filetitle": "Figure1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 308,
            "image_height": 196,
            "name": "buerger-2007-star-Figure1.jpg",
            "type": "image/jpeg",
            "size": 11681,
            "path": "Publication:buerger-2007-star",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            661,
            176
        ],
        "booktitle": "EuroGraphics 2007 State of the Art Reports (STARs)",
        "isbn": "1017-4656",
        "lecturer": [
            672
        ],
        "pages_from": "117",
        "pages_to": "134",
        "research_areas": [],
        "keywords": [
            "scientific data",
            "multi-variate data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Visualization research is developing from classical 3D structured scalar visualization. the use of techniques that allow the visualization of time-dependent, complex and multi-variate data in a useful way will be a key to successful visualization applications in the future.",
                "filetitle": "Figure1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 308,
                "image_height": 196,
                "name": "buerger-2007-star-Figure1.jpg",
                "type": "image/jpeg",
                "size": 11681,
                "path": "Publication:buerger-2007-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure1:thumb{{size}}.png"
            },
            {
                "description": "Six examples of how to deal with multi-dimensional data-sets: (a) traditional (b) deriving additional quantities (c) linking brushing and other SimVis related techniques (d) data intermixing (e) layering rendered images (f) a well-combined visualization technique using all relevant data and derivations.",
                "filetitle": "Figure2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1276,
                "image_height": 993,
                "name": "buerger-2007-star-Figure2.png",
                "type": "image/png",
                "size": 101436,
                "path": "Publication:buerger-2007-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure2:thumb{{size}}.png"
            },
            {
                "description": "An example of combined attribute and volumetric views.  The 3D view shows the location of data points in space with pressure mapped to color. A 2D slice shows the velocity close to the eye of the storm. Two attribute views (scatterplot of velocity vs. cloud density and histogramm of temperature) are used to select which cells are shown.",
                "filetitle": "Figure3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1110,
                "image_height": 1108,
                "name": "buerger-2007-star-Figure3.png",
                "type": "image/png",
                "size": 214688,
                "path": "Publication:buerger-2007-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Figure3:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "buerger-2007-star-Paper.pdf",
                "type": "application/pdf",
                "size": 1362494,
                "path": "Publication:buerger-2007-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Paper:thumb{{size}}.png"
            },
            {
                "description": "The slides as presented at EuroGraphics 2007 (not including videos)",
                "filetitle": "Slides (Updated)",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "buerger-2007-star-Slides (Updated).ppt",
                "type": "application/msword",
                "size": 24508416,
                "path": "Publication:buerger-2007-star",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/buerger-2007-star-Slides (Updated).ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/buerger-2007-star/",
        "__class": "Publication"
    },
    {
        "id": "daubner-2007-HDR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "HDR Capturing Tool for Canon EOS Digital SLRs",
        "date": "2007",
        "abstract": "This camera remote control program for MS Windows can be used to take time-triggered series of photographs with different exposure times to be later combined into HDR (high dynamic range) images. Works with Canon EOS 1D (several models), 20D, 5D, 350D. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            671
        ],
        "supervisor": [
            222
        ],
        "research_areas": [],
        "keywords": [
            "Canon EOS Digital SLR",
            "Remote Control",
            "Software",
            "High Dynamic Range"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Software and Documentation",
                "filetitle": "canonHDRcapture",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "daubner-2007-HDR-canonHDRcapture.zip",
                "type": "application/x-zip",
                "size": 2557394,
                "path": "Publication:daubner-2007-HDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-canonHDRcapture.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "User Manual",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "daubner-2007-HDR-User Manual.pdf",
                "type": "application/pdf",
                "size": 96376,
                "path": "Publication:daubner-2007-HDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-User Manual.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/daubner-2007-HDR-User Manual:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2007/daubner-2007-HDR/",
        "__class": "Publication"
    },
    {
        "id": "Sauer-2006-TIDSE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "U-Create: Creative Authoring Tools for Edutainment Applications",
        "date": "2006-12",
        "abstract": "The U-CREATE project aims at efficient content creation for new\r\ntechnologies, in particular interactive setups, Mixed Reality experiences and\r\nlocation-based services. A graphical authoring tool is developed to allow one\r\nto create elaborated contents in a fast and easy way. The present paper\r\nintroduces the tool and elaborates on its main components, which allow the\r\nuser to author an interactive story and also to manage the connected\r\ninteraction devices.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 246,
            "image_height": 184,
            "name": "Sauer-2006-TIDSE-jpg.jpg",
            "type": "image/jpeg",
            "size": 25469,
            "path": "Publication:Sauer-2006-TIDSE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            644,
            645,
            646,
            643
        ],
        "address": "Berlin Heidelberg",
        "booktitle": "TIDSE 2006",
        "date_from": "2006-12-4",
        "date_to": "2006-12-6",
        "editor": "S. Göbel, R. Malkewitz, I. Iurgel",
        "lecturer": [
            643
        ],
        "organization": "ZGDV",
        "pages_from": "163",
        "pages_to": "168",
        "publisher": "Springer-Verlag",
        "research_areas": [],
        "keywords": [
            "Location based Services",
            "Mobile Learning",
            "Mixed Reality",
            "Edutainment",
            "Digital Storytelling",
            "Content Creation",
            "Authoring",
            "Editors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 246,
                "image_height": 184,
                "name": "Sauer-2006-TIDSE-jpg.jpg",
                "type": "image/jpeg",
                "size": 25469,
                "path": "Publication:Sauer-2006-TIDSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-jpg:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Sauer-2006-TIDSE-paper.pdf",
                "type": "application/pdf",
                "size": 1469152,
                "path": "Publication:Sauer-2006-TIDSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/Sauer-2006-TIDSE-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Sauer-2006-TIDSE/",
        "__class": "Publication"
    },
    {
        "id": "GIEGL-2006-QVS",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Queried Virtual Shadow Maps",
        "date": "2006-12",
        "abstract": "In this article we present a new real-time shadow mapping algorithm capable of\nshadowing large scenes by virtually increasing the resolution of the shadow map\nbeyond the GPU hardware limit. We start with a brute force approach that uniformly\nincreases the resolution of the whole shadow map. We then introduce a smarter version\nwhich greatly increases runtime performance while still being GPU-friendly.\nThe algorithm contains an easy to use performance/quality-tradeoff parameter, making\nit tunable to a wide range of graphics hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 990,
            "image_height": 856,
            "name": "GIEGL-2006-QVS-.png",
            "type": "image/png",
            "size": 184648,
            "path": "Publication:GIEGL-2006-QVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402,
            193
        ],
        "booktitle": "ShaderX 5 -- Advanced Rendering Techniques",
        "editor": "Wolfgang Engel",
        "isbn": "1-58450-499-4",
        "pages_from": "249",
        "pages_to": "262",
        "publisher": "Charles River Media",
        "series": "ShaderX",
        "volume": "5",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadows",
            "shadow mapping",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 990,
                "image_height": 856,
                "name": "GIEGL-2006-QVS-.png",
                "type": "image/png",
                "size": 184648,
                "path": "Publication:GIEGL-2006-QVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/GIEGL-2006-QVS-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/GIEGL-2006-QVS/",
        "__class": "Publication"
    },
    {
        "id": "gerl-2006-vhi",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Hatching for Illustrative Visualization",
        "date": "2006-11",
        "abstract": "The evolution of drawing reaches back to the origin of human cultural history.\nOver 20.000 years ago prehistoric men started to picture their environment\nin petroglyphs. From these caveman paintings to mythological depictions\nof the ancient Egyptians, from medieval illuminated manuscripts\nto Leonardo Da Vinci’s anatomical studies in the Renaissance, drawings\nserved the purpose of transforming information into a visually perceptible\nform. Maybe it is this historical tradition that gives drawings the character\nof being perceived as beautiful by a widespread public. Maybe it is the abstract\nnature of drawings that lets them be an art form commonly chosen\nfor illustration. Often the first type of imagery we deal with in our lifetime\nare hand-drawn images in children’s books. So we literally grow up with\ndrawings as a familiar medium for depiction. This could also be a cause\nfor the high acceptance drawings usually meet.\nDrawings are commonly used in a scientific and educational context to convey\ncomplex information in a comprehensible and effective manner. Illustration\ndemands abstraction for focusing attention on important features by\navoiding irrelevant detail. Abstraction is a characteristic inherent in drawing,\nas a drawing always abstracts real world. Therefore drawings serve\nthe purpose of illustration very well. In addition to that, the expressiveness\nand attraction of drawings bestow them the property of communicating information\nin a way mostly felt as enjoyable.\nSpecific applications of volume visualization require exactly these visual\nproperties. Therefore increasing effort has been spent on developing and\napplying illustrative or non-photorealistic rendering methods for volume\nvisualization in recent years. This is the field of study this thesis is devoted\nto. The described capabilities of drawing make it the art form we\nchose to mimic for the non-photorealistic volume rendering approach developed\nin this thesis. A common shading technique in drawings is hatching.\nHatching is also standard practice in schematic hand-drawn illustrations\nas known from textbooks. We implemented a system capable of generating\nhatching drawings from volume datasets. The basic idea was to\nexploit illustrative and aesthetic excellence of hatching drawings for the\ncreation of expressive representations of volumetric data.\nThe drawing in Figure 1 gives an example of an illustration where hatching\nhas been used for shading. This figure shall demonstrate that hatching is\na technique capable of conveying spatial properties of the depicted object\nin an abstract and expressive way. It is an artwork of Vesalius’ De humani\ncorporis fabrica, a textbook of human anatomy from the Renaissance.\nWe propose some possible fields of application to further explain the motivation\nto engage in generating hatching drawings from three-dimensional\ndata. The majority of these data are generated in medical scanning devices,\nand medicine offers numerous possibilities for employing volume\nhatching. One possible medical application would be to illustrate upcoming\nsurgeries to patients. Explaining a surgery with the help of a volume\nhatching rendering is perhaps more comprehensible for a layman than with\ntomography slices. It also could be more readily accepted by patients as a\nrealistic rendering, due to the visually pleasing nature of hand drawings\nand the distaste of some people on viewing inner body parts realistically.\nAnother potential field of application for volume hatching is the automated\ngeneration of educational illustrations. Figures in scientific textbooks, for\ninstance in medicine or botany, which shall convey important structural\nfeatures by a schematic representation of objects, are often drawn by hand.\nThe preferred drawing medium here is pen-and-ink, and a reduced drawing\ntechnique is used where shading is realized with a sparse and even\nhatching. Volume hatching can be employed for creating images resembling\nsuch illustrations from volumetric data. On the one hand, this offers\nthe possibility for automated generation of still images for text- or schoolbooks.\nOn the other hand, interactive illustrations could be applied in\nteaching, since they provide exploration and examining possibilities while\ndepicting the objects in a familiar illustrative style.\nThis thesis is organized as follows. First, we give an overview about research\ndone in fields related to this thesis in Chapter 2. In Chapter 3 we\npresent the algorithms we developed for rendering hatching drawings from\nvolume data. This includes the creation of contour drawings, curvature\nestimation and generation of hatching strokes. We continue with shortly\noutlining the concept of implementing these algorithms in Chapter 4. In\nChapter 5 we present and discuss result images, revealing advantages and\nlimitations of our approach. We summarize the content of this thesis in\nChapter 6. Finally, we draw a conclusion on the results of this thesis and\npropose ideas for further enhancing our work in Chapter 7.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 262,
            "image_height": 402,
            "name": "gerl-2006-vhi-jpg.jpg",
            "type": "image/jpeg",
            "size": 41458,
            "path": "Publication:gerl-2006-vhi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            649
        ],
        "matrikelnr": "0000000",
        "supervisor": [
            786,
            166
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 262,
                "image_height": 402,
                "name": "gerl-2006-vhi-jpg.jpg",
                "type": "image/jpeg",
                "size": 41458,
                "path": "Publication:gerl-2006-vhi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gerl-2006-vhi-pdf.pdf",
                "type": "application/pdf",
                "size": 6139517,
                "path": "Publication:gerl-2006-vhi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/gerl-2006-vhi-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/gerl-2006-vhi/",
        "__class": "Publication"
    },
    {
        "id": "Rautek06Vis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Caricaturistic Visualization",
        "date": "2006-11",
        "abstract": "Caricatures are pieces of art depicting persons or sociological conditions in a non-veridical way. In both cases caricatures are referring to a reference model. The deviations from the reference model are the characteristic features of the depicted subject. Good caricatures exaggerate the characteristics of a subject in order to accent them. The concept of caricaturistic visualization is based on the caricature metaphor. The aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating deviations from the reference model. We present the general concept of caricaturistic visualization as well as a variety of examples.\r\nWe investigate different visual representations for the depiction of caricatures. Further, we present the caricature matrix, a technique to make differences between datasets easily identifiable.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Caricaturistic Visualization Example ",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "Rautek06Vis-image.jpg",
            "type": "image/jpeg",
            "size": 84992,
            "path": "Publication:Rautek06Vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            171,
            166
        ],
        "date_from": "2006-10",
        "date_to": "2006-11",
        "event": "IEEE Visualization 2006",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            488
        ],
        "location": "Baltimore, USA",
        "number": "5",
        "pages_from": "1085",
        "pages_to": "1092",
        "volume": "12",
        "research_areas": [],
        "keywords": [
            "Focus+Context Techniques",
            "Volume Visualization",
            "Illustrative Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Caricaturistic Visualization Example ",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "Rautek06Vis-image.jpg",
                "type": "image/jpeg",
                "size": 84992,
                "path": "Publication:Rautek06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek06Vis-paper.pdf",
                "type": "application/pdf",
                "size": 14813160,
                "path": "Publication:Rautek06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-paper:thumb{{size}}.png"
            },
            {
                "description": "Caricaturistic Facade Deformation",
                "filetitle": "video1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek06Vis-video1.avi",
                "type": "",
                "size": 542520,
                "path": "Publication:Rautek06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video1.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "Caricaturistic Vessel Visualization",
                "filetitle": "video2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek06Vis-video2.avi",
                "type": "",
                "size": 12251136,
                "path": "Publication:Rautek06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/Rautek06Vis-video2.avi",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06Vis/",
        "__class": "Publication"
    },
    {
        "id": "termeer-2006-000",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Preserving Sharp Edges with Volume Clipping",
        "date": "2006-11",
        "abstract": "Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of this technique, the clipping geometry should be flexibly specified and the resulting images should not contain artifacts due to the clipping techniques. We present an improvement to an existing  illumination model for volume clipping to allow sharp edges in the data to stay visible. These sharp edges often\r\noriginate from material transitions in the volume or structures being partially cut by the clipping geometry. The focus is on high, industrial image quality\r\nand flexibility of the algorithm; techniques for using high-resolution polygonal meshes as clipping algorithms and removal of artifacts are presented.\r\nFeatures of the latest consumer graphics hardware are exploited to provide the visualization at an interactive framerate without the need for multipassing. We have validated the techniques presented here by implementing them in the context of a professional volume rendering application at Philips Medical Systems, and comparing our results with\r\ncurrent results produced by existing solutions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 624,
            "image_height": 716,
            "name": "termeer-2006-000-image.png",
            "type": "image/png",
            "size": 255878,
            "path": "Publication:termeer-2006-000",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            606,
            647,
            648
        ],
        "booktitle": "Proceedings Vision, Modeling and Visualization 2006",
        "lecturer": [
            606
        ],
        "location": "Aachen, Germany",
        "research_areas": [],
        "keywords": [
            "volume clipping",
            "sharp edges"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 624,
                "image_height": 716,
                "name": "termeer-2006-000-image.png",
                "type": "image/png",
                "size": 255878,
                "path": "Publication:termeer-2006-000",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "termeer-2006-000-paper.pdf",
                "type": "application/pdf",
                "size": 5592307,
                "path": "Publication:termeer-2006-000",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/termeer-2006-000-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/termeer-2006-000/",
        "__class": "Publication"
    },
    {
        "id": "bernhard-2006-dvrcta",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient CPU-based Direct Volume Rendering for CT-Angiography",
        "date": "2006-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thesis",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "bernhard-2006-dvrcta-thesis.pdf",
            "type": "application/pdf",
            "size": 3944966,
            "path": "Publication:bernhard-2006-dvrcta",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            660
        ],
        "supervisor": [
            693
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bernhard-2006-dvrcta-thesis.pdf",
                "type": "application/pdf",
                "size": 3944966,
                "path": "Publication:bernhard-2006-dvrcta",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/bernhard-2006-dvrcta-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bernhard-2006-dvrcta/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2006-ICE",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Context-Preserving Exploration of Volume Data",
        "date": "2006-11",
        "abstract": "In volume rendering it is very difficult to simultaneously visualize\ninterior and exterior structures while preserving clear shape cues.\nHighly transparent transfer functions produce cluttered images with\nmany overlapping structures, while clipping techniques completely\nremove possibly important context information. In this paper we\npresent a new model for volume rendering, inspired by techniques\nfrom illustration. It provides a means of interactively inspecting\nthe interior of a volumetric data set in a feature-driven way which\nretains context information. The context-preserving volume rendering\nmodel uses a function of shading intensity, gradient magnitude,\ndistance to the eye point, and previously accumulated opacity to\nselectively reduce the opacity in less important data regions. It is\ncontrolled by two user-specified parameters. This new method\nrepresents an alternative to conventional clipping techniques,\nshares their easy and intuitive user control, but does not suffer\nfrom the drawback of missing context information.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2013,
            "image_height": 1686,
            "name": "bruckner-2006-ICE-image.jpg",
            "type": "image/jpeg",
            "size": 313519,
            "path": "Publication:bruckner-2006-ICE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            160,
            162,
            166
        ],
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "6",
        "pages_from": "1559",
        "pages_to": "1569",
        "volume": "12",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "focus+context techniques",
            "volume rendering",
            "illustrative visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Hand",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Hand.avi",
                "type": "video/x-msvideo",
                "size": 4198400,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Hand:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 35567,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Hand:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Head",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Head.avi",
                "type": "video/x-msvideo",
                "size": 5786112,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Head:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 29484,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Head:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2013,
                "image_height": 1686,
                "name": "bruckner-2006-ICE-image.jpg",
                "type": "image/jpeg",
                "size": 313519,
                "path": "Publication:bruckner-2006-ICE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2006-ICE-Paper.pdf",
                "type": "application/pdf",
                "size": 3733897,
                "path": "Publication:bruckner-2006-ICE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Stagbeetle",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Stagbeetle.avi",
                "type": "video/x-msvideo",
                "size": 5568000,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Stagbeetle:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 12961,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Stagbeetle:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Tooth",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Tooth.avi",
                "type": "video/x-msvideo",
                "size": 1542656,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Tooth:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 32207,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Tooth:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Visible",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Visible.avi",
                "type": "video/x-msvideo",
                "size": 6432256,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Visible:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 36065,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Visible:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Wholebody",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2006-ICE-Wholebody.avi",
                "type": "video/x-msvideo",
                "size": 5114368,
                "path": "Publication:bruckner-2006-ICE",
                "preview_name": "bruckner-2006-ICE-Wholebody:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 7067,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/bruckner-2006-ICE-Wholebody:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-ICE/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-2006-dfs",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Reflectance Model for Diffuse Fluorescent Surfaces",
        "date": "2006-11",
        "abstract": "Fluorescence is an interesting and visually prominent effect, which has not been fully covered by Computer Graphics research so far.\n\nWhile the physical phenomenon of ﬂuorescence has been addressed in isolation, the actual reﬂection behaviour of real ﬂuorescent surfaces has never been documented, and no analytical BRDF models for such surfaces have been published yet.\n\nThis paper aims to illustrate the reﬂection properties typical for diffuse ﬂuorescent surfaces, and provides a BRDF model based on a layered microfacet approach that mimics them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "preview_image_width": 640,
            "preview_image_height": 480,
            "name": "wilkie-2006-dfs-.pdf",
            "type": "application/pdf",
            "size": 529813,
            "path": "Publication:wilkie-2006-dfs",
            "preview_name": "wilkie-2006-dfs-:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 96433,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            567,
            593,
            190
        ],
        "booktitle": "Proceedings of Graphite 2006",
        "date_from": "2006-11-29",
        "date_to": "2006-12-02",
        "isbn": "1-59593-564-9",
        "location": "Kuala Lumpur, Malaysia",
        "pages": "8",
        "pages_from": "321",
        "pages_to": "328",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Fluorescence",
            "Analytical BRDF models"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "wilkie-2006-dfs-.pdf",
                "type": "application/pdf",
                "size": 529813,
                "path": "Publication:wilkie-2006-dfs",
                "preview_name": "wilkie-2006-dfs-:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 96433,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/wilkie-2006-dfs-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/wilkie-2006-dfs/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2006-pla",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Virtual Reconstructions in a Planetarium for Demonstrations in Archaeo-Astronomy",
        "date": "2006-11",
        "abstract": "In the last decades, archaeologists in central Europe have found\n  traces of enigmatic neolithic circular building structures buried in\n  the soil. Recent studies indicate that the orientation of many of their\n  doorways may have been chosen with an astronomical background in mind.\n\n  This paper explains the use of virtual reconstructions of these\n  buildings from archaeological data, in combination with a simulation\n  of the sky of that time in a Planetarium, to present the\n  astronomical findings to the public.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Steinabrunn Sunrise",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 240,
            "name": "zotti-2006-pla-Steinabrunn Sunrise.jpg",
            "type": "image/jpeg",
            "size": 22360,
            "path": "Publication:zotti-2006-pla",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            192,
            190
        ],
        "booktitle": "Third Central European Multimedia and Virtual Reality Conference (Proc.  CEMVRC2006)",
        "date_from": "2006-11-06",
        "date_to": "2006-11-08",
        "editor": "Cecilia Sik Lanyi ",
        "isbn": "963-9495-89-1",
        "lecturer": [
            222
        ],
        "location": "Eger",
        "pages_from": "43",
        "pages_to": "51",
        "publisher": "Pannonian University Press",
        "research_areas": [
            "Modeling",
            "Rendering"
        ],
        "keywords": [
            "Virtual Reality",
            "Public Dissemination",
            "Archaeo-Astronomy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2006-pla-.pdf",
                "type": "application/pdf",
                "size": 5254135,
                "path": "Publication:zotti-2006-pla",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Steinabrunn Sunrise",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 240,
                "name": "zotti-2006-pla-Steinabrunn Sunrise.jpg",
                "type": "image/jpeg",
                "size": 22360,
                "path": "Publication:zotti-2006-pla",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/zotti-2006-pla-Steinabrunn Sunrise:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-pla/",
        "__class": "Publication"
    },
    {
        "id": "Hornecker-2006-OzCHI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Learning from Interactive Museum Installations",
        "date": "2006-11",
        "abstract": "This paper reports on the evaluation of a digitallyaugmented\r\nexhibition on the history of modern media.\r\nWe discuss visitors’ interaction with installations and\r\ncorresponding interaction design issues, drawing on\r\nresults from analysis of logfiles, interviews, and\r\nobservation in the museum. We see this as an exploration\r\ninto interaction design of interactive installations for\r\npublic settings, using the evaluation as a case study on\r\nwhat makes an installation engaging and how it can\r\nprovide an engaging experience for groups.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 140,
            "image_height": 99,
            "name": "Hornecker-2006-OzCHI-jpg.jpg",
            "type": "image/jpeg",
            "size": 17511,
            "path": "Publication:Hornecker-2006-OzCHI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            642,
            643
        ],
        "address": "New York, NY, USA",
        "booktitle": "OzCHI ",
        "date_from": "2006-11-20",
        "date_to": "2006-11-24",
        "lecturer": [
            643
        ],
        "location": "Sydney, Australia",
        "organization": "CHISIG",
        "publisher": "ACM Press",
        "research_areas": [],
        "keywords": [
            "Information interfaces",
            "Information presentation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 140,
                "image_height": 99,
                "name": "Hornecker-2006-OzCHI-jpg.jpg",
                "type": "image/jpeg",
                "size": 17511,
                "path": "Publication:Hornecker-2006-OzCHI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-jpg:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hornecker-2006-OzCHI-paper.pdf",
                "type": "application/pdf",
                "size": 5876578,
                "path": "Publication:Hornecker-2006-OzCHI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/Hornecker-2006-OzCHI-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-OzCHI/",
        "__class": "Publication"
    },
    {
        "id": "konyha_2006_int",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Families of Function Graphs",
        "date": "2006-11",
        "abstract": "The analysis and exploration of multidimensional\r\nand multivariate data is still one of the most challenging areas\r\nin the \u0002 field of visualization. In this paper, we describe an\r\napproach to visual analysis of an especially challenging set\r\nof problems that exhibit a complex internal data structure.\r\nWe describe the interactive visual exploration and analysis of\r\ndata that includes several (usually large) families of function\r\ngraphs fi(x; t). We describe analysis procedures and practical\r\naspects of the interactive visual analysis speci\u0002c to this type of\r\ndata (with emphasis on the function graph characteristic of the\r\ndata). We adopted the well-proven approach of multiple, linked\r\nviews with advanced interactive brushing to assess the data.\r\nStandard views such as histograms, scatterplots, and parallel\r\ncoordinates are used to jointly visualize data.We support iterative\r\nvisual analysis by providing means to create complex, composite\r\nbrushes that span multiple views and that are constructed using\r\ndifferent combination schemes. We demonstrate that engineering\r\napplications represent a challenging but very applicable area for\r\nvisual analytics. As a case study, we describe the optimization of\r\na fuel injection systems in Diesel engines of passenger cars.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "konyha_2006_int-.jpg",
            "type": "image/jpeg",
            "size": 58372,
            "path": "Publication:konyha_2006_int",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756,
            235,
            581,
            579,
            176
        ],
        "issn": "1077-2626 ",
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "6",
        "pages_from": "1373",
        "pages_to": "1385",
        "volume": "12",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "konyha_2006_int-.jpg",
                "type": "image/jpeg",
                "size": 58372,
                "path": "Publication:konyha_2006_int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "konyha_2006_int-pdf.pdf",
                "type": "application/pdf",
                "size": 1681026,
                "path": "Publication:konyha_2006_int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/konyha_2006_int-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/konyha_2006_int/",
        "__class": "Publication"
    },
    {
        "id": "Mantler-06-landscape",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Landscape Visualization Using GPU Ray Casting",
        "date": "2006-11",
        "abstract": "This paper demonstrates the simple yet effective usage of height fields for interactive landscape visualizations using a ray casting approach implemented in the pixel shader of modern graphics cards. The rendering performance is output sensitive, i.e., it scales with\nthe number of pixels rather than the complexity of the landscape. Given a height field of a terrain and a  topographic map or similar data as input, the vegetation cover is extracted and stored on top of the height field in a preprocess, enhancing the terrain with forest canopies or other mesostructure. In addition, enhanced illumination models like shadowing and ambient occlusion can be calculated at runtime with reasonable computational cost, which greatly enhances the scene realism. Finally, including the presented technique into existing rendering systems is relatively simple, mainly consisting of data preparation and pixel shader programming.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "Mantler-06-landscape-image.png",
            "type": "image/png",
            "size": 568584,
            "path": "Publication:Mantler-06-landscape",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407,
            356
        ],
        "booktitle": "Proceedings of Graphite 2006",
        "date_from": "2006-11-29",
        "date_to": "2006-12-02",
        "lecturer": [
            407,
            356
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "gpu ray casting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "Mantler-06-landscape-image.png",
                "type": "image/png",
                "size": 568584,
                "path": "Publication:Mantler-06-landscape",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mantler-06-landscape-paper.pdf",
                "type": "application/pdf",
                "size": 23601326,
                "path": "Publication:Mantler-06-landscape",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/Mantler-06-landscape-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mantler-06-landscape/",
        "__class": "Publication"
    },
    {
        "id": "CADIK-2006-IAQ",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image Attributes and Quality for Evaluation of Tone Mapping Operators",
        "date": "2006-10",
        "abstract": "The problem of reproducing high dynamic range images\non devices with restricted dynamic range has gained a lot\nof interest in the computer graphics community. There exist\nvarious approaches to this issue, which span several research\nareas including computer graphics, image processing,\ncolor science, physiology, neurology, psychology, etc.\nThese approaches assume a thorough knowledge of both the\nobjective and subjective attributes of an image. However,\nno comprehensive overview and analysis of such attributes\nhas been published so far.\nIn this paper, we present an overview of image quality\nattributes of different tone mapping methods. Furthermore,\nwe propose a scheme of relationships between these\nattributes, leading to the definition of an overall image quality\nmeasure. We present results of subjective psychophysical\ntests that we have performed to prove the proposed relationship\nscheme. We also present the evaluation of existing tone\nmapping methods with regard to these attributes.\nOur effort is not just useful to get into the tone mapping\nfield or when implementing a tone mapping operator, but\nit also sets the stage for well-founded quality comparisons\nbetween tone mapping operators. By providing good definitions\nof the different attributes, user-driven or fully automatic\ncomparisons are made possible at all.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 600,
            "image_height": 451,
            "name": "CADIK-2006-IAQ-.png",
            "type": "image/png",
            "size": 276313,
            "path": "Publication:CADIK-2006-IAQ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            635,
            193,
            177,
            191
        ],
        "booktitle": "Proceedings of Pacific Graphics 2006 (14th Pacific Conference on Computer Graphics and Applications)",
        "date_from": "2006-10-11",
        "date_to": "2006-10-13",
        "lecturer": [
            635
        ],
        "location": "Taipe, Taiwan",
        "pages_from": "35",
        "pages_to": "44",
        "publisher": "National Taiwan University Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "tone mapping evaluation",
            "tone mapping",
            "high-dynamic range images"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 451,
                "name": "CADIK-2006-IAQ-.png",
                "type": "image/png",
                "size": 276313,
                "path": "Publication:CADIK-2006-IAQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "CADIK-2006-IAQ-Paper.pdf",
                "type": "application/pdf",
                "size": 477797,
                "path": "Publication:CADIK-2006-IAQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/CADIK-2006-IAQ-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/CADIK-2006-IAQ/",
        "__class": "Publication"
    },
    {
        "id": "SABADELLO-2006-HEG",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "History of Electronic Games",
        "date": "2006-10",
        "abstract": "During the last few years, there has been an increased interest in so-called “Retro-Gaming”, i.e. the hobby of playing older electronic games, either on the original hardware or by using emulation software on modern computers.\r\n\r\nThis thesis is about the history of electronic games and about an installation which was made for the exhibition \"medien.welten\" at the \"Technisches Museum\" (Museum of Technology) in Vienna.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            685
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "computer games"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "SABADELLO-2006-HEG-thesis.pdf",
                "type": "application/pdf",
                "size": 4161405,
                "path": "Publication:SABADELLO-2006-HEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/SABADELLO-2006-HEG/SABADELLO-2006-HEG-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/SABADELLO-2006-HEG/SABADELLO-2006-HEG-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/SABADELLO-2006-HEG/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-06-04",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evaluation of a Bricked Volume Layout for a Medical Workstation based on Java",
        "date": "2006-10",
        "abstract": "Volumes acquired for medical examination purposes are constantly increasing in size. For this reason, the computer’s memory is the limiting factor for visualizing the data. Bricking is a well-known concept used for rendering large data sets. The volume data is subdivided into smaller blocks to achieve better memory utilization. Until now, the vast majority of medical workstations use a linear volume layout. We implemented a bricked volume layout for such a workstation based on Java as required by our collaborative company partner to evaluate different common access patterns to the volume data. For rendering, we were mainly interested to see how the performance will differ from the traditional linear volume layout if we generate images of arbitrarily oriented slices via Multi-Planar Reformatting (MPR). Furthermore, we tested access patterns which are crucial for segmentation issues like a random access to data values and a simulated region growing. Our goal was to find out if it makes sense to change the volume layout of the medical workstation to benefit of bricking. We were also interested to identify the tasks where problems might occur if bricking is applied. Overall, our results show that it is feasible to use a bricked volume\r\nlayout.",
        "authors_et_al": false,
        "substitute": "Kohlmann-2007-EBV",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 237,
            "name": "TR-186-2-06-04-image.jpg",
            "type": "image/jpeg",
            "size": 48845,
            "path": "Publication:TR-186-2-06-04",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            605,
            161,
            162,
            166
        ],
        "number": "TR-186-2-06-04",
        "research_areas": [],
        "keywords": [
            "MPR",
            "Bricked Volume Layout",
            "Medical Visualization",
            "Medical Workstation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 237,
                "name": "TR-186-2-06-04-image.jpg",
                "type": "image/jpeg",
                "size": 48845,
                "path": "Publication:TR-186-2-06-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-06-04-Report.pdf",
                "type": "application/pdf",
                "size": 1405211,
                "path": "Publication:TR-186-2-06-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/TR-186-2-06-04-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "diagvis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-04/",
        "__class": "Publication"
    },
    {
        "id": "vis-foa",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Focus of Attention",
        "date": "2006-10",
        "abstract": "This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. A characteristic viewpoint is estimated by a novel information-theoretic framework which is based on the mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance distribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on features that are normally occluded by other parts of the volume, the focusing for example incorporates cut-away views.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 578,
            "image_height": 406,
            "name": "vis-foa-jpg.jpg",
            "type": "image/jpeg",
            "size": 54181,
            "path": "Publication:vis-foa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            608,
            207,
            166
        ],
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            171
        ],
        "number": "5",
        "pages_from": "933",
        "pages_to": "940",
        "volume": "12",
        "research_areas": [],
        "keywords": [
            "illustrative visualization",
            "interacting with volumetric datasets",
            "optimal viewpoint estimation",
            "focus+context techniques",
            "volume visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "video",
                "filetitle": "avi",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vis-foa-avi.avi",
                "type": "",
                "size": 29168640,
                "path": "Publication:vis-foa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-avi.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 578,
                "image_height": 406,
                "name": "vis-foa-jpg.jpg",
                "type": "image/jpeg",
                "size": 54181,
                "path": "Publication:vis-foa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vis-foa-pdf.pdf",
                "type": "application/pdf",
                "size": 585521,
                "path": "Publication:vis-foa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-pdf:thumb{{size}}.png"
            },
            {
                "description": "slides",
                "filetitle": "ppt",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "vis-foa-ppt.zip",
                "type": "application/x-zip",
                "size": 10090882,
                "path": "Publication:vis-foa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/vis-foa-ppt.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GameTools",
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vis-foa/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2006-DWN",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Do We Need Accurate Reconstruction?",
        "date": "2006-10",
        "abstract": "The accurate reconstruction of high-quality representations from range scanning devices for archaeology is very time consuming and costly. The objective of this paper is to show that this accurate reconstruction step can be avoided in many cases. Instead, we present a method to make range scanning data instantly available to archaeologists and other scientists, so that they can immediately experiment and work with the data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 640,
            "image_height": 640,
            "name": "WIMMER-2006-DWN-.png",
            "type": "image/png",
            "size": 705417,
            "path": "Publication:WIMMER-2006-DWN",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-DWN/WIMMER-2006-DWN-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-DWN/WIMMER-2006-DWN-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "booktitle": "Proceedings of 11th International Congress on Cultural Heritage and New Technologies",
        "date_from": "2006-10-18",
        "date_to": "2006-10-20",
        "lecturer": [
            193
        ],
        "location": "Vienna City Hall, Vienna, Austria",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "point-based rendering",
            "laser scanning",
            "virtual reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 640,
                "image_height": 640,
                "name": "WIMMER-2006-DWN-.png",
                "type": "image/png",
                "size": 705417,
                "path": "Publication:WIMMER-2006-DWN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-DWN/WIMMER-2006-DWN-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-DWN/WIMMER-2006-DWN-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-DWN/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2006-EVV",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploded Views for Volume Data",
        "date": "2006-09",
        "abstract": "Exploded views are an illustration technique where an\r\nobject is partitioned into several segments. These segments are\r\ndisplaced to reveal otherwise hidden detail. In this paper we apply\r\nthe concept of exploded views to volumetric data in order to solve\r\nthe general problem of occlusion. In many cases an object of\r\ninterest is occluded by other structures. While transparency or\r\ncutaways can be used to reveal a focus object, these techniques\r\nremove parts of the context information. Exploded views, on the\r\nother hand, do not suffer from this drawback. Our approach employs a\r\nforce-based model: the volume is divided into a part configuration\r\ncontrolled by a number of forces and constraints. The focus object\r\nexerts an explosion force causing the parts to arrange according to\r\nthe given constraints. We show that this novel and flexible approach\r\nallows for a wide variety of explosion-based visualizations\r\nincluding view-dependent explosions. Furthermore, we present a\r\nhigh-quality GPU-based volume ray casting algorithm for exploded\r\nviews which allows rendering and interaction at several frames per\r\nsecond.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Exploded volume data view using part constraints",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 629,
            "image_height": 648,
            "name": "bruckner-2006-EVV-Image.jpg",
            "type": "image/jpeg",
            "size": 94393,
            "path": "Publication:bruckner-2006-EVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "date_from": "2006-10-29",
        "date_to": "2006-11-03",
        "event": "IEEE Visualization 2006",
        "issn": "1077-2626",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            161
        ],
        "number": "5",
        "pages_from": "1077",
        "pages_to": "1084",
        "volume": "12",
        "research_areas": [],
        "keywords": [
            "exploded views",
            "illustrative visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Exploded views demonstration (DivX encoded AVI video) ",
                "filetitle": "Demonstration",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 175,
                "preview_image_height": 175,
                "name": "bruckner-2006-EVV-Demonstration.avi",
                "type": "",
                "size": 30501888,
                "path": "Publication:bruckner-2006-EVV",
                "preview_name": "bruckner-2006-EVV-Demonstration:preview.png",
                "preview_type": "image/png",
                "preview_size": 55664,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Demonstration.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Demonstration:thumb{{size}}.png"
            },
            {
                "description": "Exploded volume data view using part constraints",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 629,
                "image_height": 648,
                "name": "bruckner-2006-EVV-Image.jpg",
                "type": "image/jpeg",
                "size": 94393,
                "path": "Publication:bruckner-2006-EVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2006-EVV-Paper.pdf",
                "type": "application/pdf",
                "size": 2483649,
                "path": "Publication:bruckner-2006-EVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/bruckner-2006-EVV-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/bruckner-2006-EVV/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-2006-rep",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reproducible Surface Extraction for Variance Comparison in 3D Computed Tomography",
        "date": "2006-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 418,
            "image_height": 154,
            "name": "heinzl-2006-rep-jpg.jpg",
            "type": "image/jpeg",
            "size": 26064,
            "path": "Publication:heinzl-2006-rep",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            613,
            166
        ],
        "booktitle": "Proceedings of 9th European Congress on Non-Destructive Testing (ECNDT 2006)",
        "date_from": "2006-09-25",
        "date_to": "2006-09-29",
        "lecturer": [
            611
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 418,
                "image_height": 154,
                "name": "heinzl-2006-rep-jpg.jpg",
                "type": "image/jpeg",
                "size": 26064,
                "path": "Publication:heinzl-2006-rep",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "heinzl-2006-rep-pdf.pdf",
                "type": "application/pdf",
                "size": 320742,
                "path": "Publication:heinzl-2006-rep",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/heinzl-2006-rep-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl-2006-rep/",
        "__class": "Publication"
    },
    {
        "id": "straka-phd-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Processing and Visualization of Peripheral CT-Angiography Datasets",
        "date": "2006-08",
        "abstract": "In this thesis, individual steps of a pipeline for processing of the peripheral Computed Tomography Angiography\r\n(CTA) datasets are addressed. The peripheral CTA datasets are volumetric datasets representing pathologies\r\nin vascularity of the lower extremities in the human body. These pathologies result from various atherosclerotic\r\ndiseases as e.g. the Peripheral Arterial Occlusive Disease (PAOD) and their early and precise diagnostics\r\nsignificantly contributes to planning of a later interventional radiology treatment.\r\n\r\nThe diagnostics is based on visualization of the imaged vascular tree, where individual pathologic changes,\r\nas plaque, calcifications, stenoses of the vessel lumen and occluded parts of the vessels are visible. CTA has\r\nevolved within the recent years into a robust, accurate and cost effective imaging technique for patients with\r\nboth coronary and arterial diseases. As a result of the CTA scanning, a set of 1200–2000 transverse slices is\r\nacquired, depicting vessels enhanced by means of an intravenously injected contrast medium. The number of\r\nslices is high and therefore their manual examination is laborious and lengthy. As a remedy, post-processing\r\nmethods were developed to allow faster and more intuitive visualization of the imaged vascularity. However,\r\nsimple visualization by means of the traditional techniques as maximum-intensity projection (MIP) or direct\r\nvolume rendering (DVR) is hampered due to the presence of bones in the dataset, which occlude the vessels.\r\nTherefore, a sequence of operations—the processing pipeline—is needed, leading to generation of clinically\r\nrelevant images which depict unobstructed vessels.\r\n\r\nIn the first step of the pipeline the dataset is segmented and the tissues are classified, to allow subsequent\r\nvessel identification and bone removal. This is a complex task because of high density and spatial variability of\r\nthe tissues. Traditional image processing techniques do not deliver acceptable results and therefore in the thesis\r\nwe present new approaches that introduce additional ’anatomic’ information into the segmentation and classification\r\nprocess. We propose a probabilistic atlas which enables modeling of spatial and density distributions of\r\nvessel and bone tissues in datasets, to allow their improved classification. In the atlas construction the non-rigid\r\nthin-plate spline warping and registration of the datasets are applied, to address the high anatomic variability\r\namong the patients. The concept of the atlas is further extended by means of the watershed transform, to further\r\nimprove precision of the registration procedure. Alternatively, we propose and evaluate a technique for vessel\r\nenhancement based on Hessian filtering to allow detection and recognition of vessel structures without operator\r\nsupervision.\r\n\r\nIn the second step a geometric model of the vessel tree is constructed to derive information about the vessel\r\ncenterlines. Here, an already available algorithm based on the so-called vessel-tracking, implemented by means\r\nof optimal path searching, is exploited with improvements to make the geometric model more precise.\r\n\r\nThe third step of the processing pipeline—visualization—requires this model, since its results can be significantly\r\ninfluenced by a potential imperfections, bringing in clinically misleading images. To address limitations\r\nof the vessel visualization by means of the existing techniques as MIP, CPR or DVR we propose their generalization\r\nin form of a focus & context-based concept called VesselGlyph. VesselGlyph enables to combine\r\nintuitively and systematically various visualization techniques to single a image to allow better, more comprehensive\r\nand unoccluded view of vessels for the diagnostic purposes.\r\n\r\nTo support the design and development of the proposed segmentation, modeling and visualization algorithms\r\nand to enable their application in the clinical environment, we implemented a set of tools grouped in the AngioVis\r\nToolBox software. Within this application, individual steps of the processing pipeline are accomplished.\r\nThe toolbox is complemented with additional utilities constituting together a fully-functional medical workstation\r\nsoftware which is regularly used to process patient data on a daily basis in the clinical environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 297,
            "name": "straka-phd-thesis-.jpg",
            "type": "image/jpeg",
            "size": 19133,
            "path": "Publication:straka-phd-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167
        ],
        "co_supervisor": [
            166
        ],
        "date_end": "2006-08",
        "date_start": "2002-04",
        "rigorosum": "2006-08-27",
        "supervisor": [
            693
        ],
        "research_areas": [],
        "keywords": [
            "Visualization",
            "Medial Data Processing",
            "Segmentation",
            "Vessel Modeling",
            "3D Reconstruction",
            "Vessel Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 297,
                "name": "straka-phd-thesis-.jpg",
                "type": "image/jpeg",
                "size": 19133,
                "path": "Publication:straka-phd-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "straka-phd-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 51788783,
                "path": "Publication:straka-phd-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/straka-phd-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/straka-phd-thesis/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2006-IP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Points: Fast Rendering of Unprocessed Point Clouds",
        "date": "2006-07",
        "abstract": "We present an algorithm to display enormous unprocessed point clouds\nat interactive rates without requiring long preprocessing. The\nnovelty here is that we do not make any assumptions about sampling\ndensity or availability of normal vectors for the points. This is\nvery important because such information is available only after\nlengthy postprocessing of scanned datasets, whereas users want to\ninteract with the dataset immediately. Instant Points is an\nout-of-core algorithm that makes use of nested octrees and an\nenhanced version of sequential point trees.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Altar",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 640,
            "name": "WIMMER-2006-IP-Altar.png",
            "type": "image/png",
            "size": 630140,
            "path": "Publication:WIMMER-2006-IP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            614
        ],
        "booktitle": "Proceedings Symposium on Point-Based Graphics 2006",
        "date_from": "2006-07-29",
        "date_to": "2006-07-30",
        "isbn": "3-90567-332-0",
        "lecturer": [
            193
        ],
        "location": "Boston, USA",
        "organization": "Eurographics",
        "pages_from": "129",
        "pages_to": "136",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "unprocessed point clouds",
            "point-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Altar",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 640,
                "name": "WIMMER-2006-IP-Altar.png",
                "type": "image/png",
                "size": 630140,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Altar:thumb{{size}}.png"
            },
            {
                "description": "Birds eye view of the 262M point model of the Vienna Stephansdom, rendered with the Instant Points system.",
                "filetitle": "BirdsEye",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 640,
                "image_height": 640,
                "name": "WIMMER-2006-IP-BirdsEye.png",
                "type": "image/png",
                "size": 245510,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-BirdsEye.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-BirdsEye:thumb{{size}}.png"
            },
            {
                "description": "Interior view of the Vienna Stephansdom, rendered at approximately 12fps on an NVIDIA 6800GTO.",
                "filetitle": "Interior",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1127,
                "name": "WIMMER-2006-IP-Interior.png",
                "type": "image/png",
                "size": 2175503,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior:thumb{{size}}.png"
            },
            {
                "description": "Inside the Stephansdom, looking from the high altar to the entrance, hovering right under the ceiling.",
                "filetitle": "Interior2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1127,
                "name": "WIMMER-2006-IP-Interior2.png",
                "type": "image/png",
                "size": 3084296,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior2:thumb{{size}}.png"
            },
            {
                "description": "Inside the Stephansdom, looking from the entrance to the high altar.",
                "filetitle": "Interior3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1127,
                "name": "WIMMER-2006-IP-Interior3.png",
                "type": "image/png",
                "size": 3363236,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Interior3:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WIMMER-2006-IP-Paper.pdf",
                "type": "application/pdf",
                "size": 4793684,
                "path": "Publication:WIMMER-2006-IP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Paper:thumb{{size}}.png"
            },
            {
                "description": "Screen-captured walkthrough of the Vienna Stephansdom using the Instant Points system. Codec: Windows Media 9.",
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 640,
                "name": "WIMMER-2006-IP-Video.wmv",
                "type": "text/plain",
                "size": 20118705,
                "path": "Publication:WIMMER-2006-IP",
                "preview_name": "WIMMER-2006-IP-Video:preview.png",
                "preview_type": "image/png",
                "preview_size": 725616,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Video.wmv",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/WIMMER-2006-IP-Video:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Scanopy"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-IP/",
        "__class": "Publication"
    },
    {
        "id": "WONKA-2006-GVS",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Guided Visibility Sampling",
        "date": "2006-07",
        "abstract": "This paper addresses the problem of computing the triangles visible\nfrom a region in space. The proposed aggressive visibility solution\nis based on stochastic ray shooting and can take any triangular\nmodel as input. We do not rely on connectivity information,\nvolumetric occluders, or the availability of large occluders, and\ncan therefore process any given input scene. The proposed algorithm\nis practically memoryless, thereby alleviating the large memory\nconsumption problems prevalent in several previous algorithms. The\nstrategy of our algorithm is to use ray mutations in ray space to\ncast rays that are likely to sample new triangles. Our algorithm\nimproves the sampling efficiency of previous work by over two orders\nof magnitude.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 661,
            "image_height": 467,
            "name": "WONKA-2006-GVS-.png",
            "type": "image/png",
            "size": 93562,
            "path": "Publication:WONKA-2006-GVS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            609,
            228,
            205,
            610
        ],
        "date_from": "2006-07-30",
        "date_to": "2006-08-04",
        "doi": "10.1145/1141911.1141914",
        "event": "ACM SIGGRAPH 2006",
        "issn": "0730-0301",
        "journal": "ACM Transactions on Graphics",
        "lecturer": [
            194,
            193
        ],
        "location": "Boston, USA",
        "note": "Proceedings ACM SIGGRAPH 2006",
        "number": "3",
        "pages_from": "494",
        "pages_to": "502",
        "volume": "25",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "visibility",
            "visibility sampling",
            "occlusion culling",
            "PVS"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 661,
                "image_height": 467,
                "name": "WONKA-2006-GVS-.png",
                "type": "image/png",
                "size": 93562,
                "path": "Publication:WONKA-2006-GVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-:thumb{{size}}.png"
            },
            {
                "description": "Preprint",
                "filetitle": "Preprint",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "WONKA-2006-GVS-Preprint.pdf",
                "type": "application/pdf",
                "size": 5229007,
                "path": "Publication:WONKA-2006-GVS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-Preprint.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/WONKA-2006-GVS-Preprint:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WONKA-2006-GVS/",
        "__class": "Publication"
    },
    {
        "id": "Hornecker-2006-ACM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Digital Backpacking in the Museum with a SmartCard",
        "date": "2006-07",
        "abstract": "This paper reports on the evaluation of a digitally-augmented exhibition on the history of modern media and our experiences with the methodic approach employed. As a central element of this exhibition visitors can buy a smartcard that enables them to store collected or self-created data in a 'digital backpack', which can be accessed via internet as a personalized souvenir. We have evaluated the exhibition, visitors' perceptions and usage of the card using a multi-method strategy complementing quantitative data-analysis with qualitative, ethnographic methods. This paper focuses on visitors' use and the perceived utility of the smartcard, and our experiences with using automatically generated data from interaction logfiles for analyzing visitor behavior, and with the multi-method strategy.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 371,
            "image_height": 238,
            "name": "Hornecker-2006-ACM-jpg.jpg",
            "type": "image/jpeg",
            "size": 29952,
            "path": "Publication:Hornecker-2006-ACM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            642,
            643
        ],
        "address": "New York, NY, USA",
        "booktitle": "CHINZ  ",
        "isbn": "1-59593-473-1",
        "lecturer": [
            643
        ],
        "location": "Christchurch, New Zealand",
        "pages_from": "99",
        "pages_to": "107",
        "publisher": "ACM Press",
        "series": "ACM International Conference Proceeding Series; Vol. 158",
        "research_areas": [],
        "keywords": [
            "Information presentation",
            "H5.m. Information interfaces"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 371,
                "image_height": 238,
                "name": "Hornecker-2006-ACM-jpg.jpg",
                "type": "image/jpeg",
                "size": 29952,
                "path": "Publication:Hornecker-2006-ACM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-jpg:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hornecker-2006-ACM-paper.pdf",
                "type": "application/pdf",
                "size": 612317,
                "path": "Publication:Hornecker-2006-ACM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/Hornecker-2006-ACM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hornecker-2006-ACM/",
        "__class": "Publication"
    },
    {
        "id": "spielmann-2006-ner",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Efficient Real-Time Global Tone Mapping Method",
        "date": "2006-06",
        "abstract": "In computer graphics, visualization, digital imaging and specially in digital pho-\r\ntography, tone mapping plays an important role. The contrast of an image is ¯nite\r\nand display device dependent. It is typically around 4-6 stops according to photo-\r\ngraphical tradition in log2 scale. The contrast of the original scene however is often\r\nsigni¯cantly greater than that so that the bright or dark parts of the scene will have\r\nno details in the image. A classical photography pipeline doesn't manipulate the\r\nimage after an automatic exposure.\r\nIn this work we give an overview of color science, human vision and display de-\r\nvices. We present known global tone mapping methods and some e±cient adaptive\r\nHDR methods.\r\nThe main focus of the work is to ¯nd the optimum contrast window for global tone mapping and to decide if there are better global and local mapping methods\r\nthan the widespread mean value mapping. This work deals with the generalization of\r\nthe minimal information loss method and the empirical search for optimal parameter\r\ncombinations for the method.\r\nIt is combined, in an innovative way, with the max(r,g,b) function (instead of lu-\r\nminance) introduced in incident light metering for computer graphics, or quasi-\r\nirradiance principle. These two methods yield visually pleasant results high con-\r\ntrast images, e.g. for the always critical back light or images containing exterior\r\nand interior parts simultaneously. Since the method works in real time, after further\r\nimprovements it could be easily included in Digital Cameras.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            683
        ],
        "supervisor": [
            190,
            1342
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "spielmann-2006-ner-paper.pdf",
                "type": "application/pdf",
                "size": 7156756,
                "path": "Publication:spielmann-2006-ner",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/spielmann-2006-ner/spielmann-2006-ner-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/spielmann-2006-ner/spielmann-2006-ner-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/spielmann-2006-ner/",
        "__class": "Publication"
    },
    {
        "id": "ulbricht-2006-VOP",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Verification of Physically Based Rendering Algorithms",
        "date": "2006-06",
        "abstract": "Within computer graphics, the field of predictive rendering is concerned with those methods of image synthesis which yield results that do not only look real, but are also radiometrically correct renditions of nature, i.e.which are accurate predictions of what a real scene would look like under given lighting conditions. \r\n\r\nIn order to guarantee the correctness of the results obtained by such techniques, three stages of such a rendering system have to be verified with particular care: the light reflection models, the light transport simulation and the perceptually based calculations used at display time.\r\n\r\nIn this report, we will concentrate on the state of the art with respect to the second step in this chain. Various approaches for experimental verification of the implementation of a physically based rendering system have been proposed so far. However, the problem of proving that the results are correct is not fully solved yet, and no standardized methodology is available. We give an overview of existing literature, discuss the strengths and weaknesses of the described methods and illustrate the unsolved problems. We also briefly discuss the related issue of image quality metrics. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1311,
            "image_height": 1224,
            "name": "ulbricht-2006-VOP-.jpg",
            "type": "image/jpeg",
            "size": 1661935,
            "path": "Publication:ulbricht-2006-VOP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006-VOP/ulbricht-2006-VOP-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006-VOP/ulbricht-2006-VOP-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225,
            192,
            190
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "2",
        "pages_from": "237",
        "pages_to": "255",
        "volume": "25",
        "research_areas": [],
        "keywords": [
            "visual comparisons",
            "experimental validation",
            "test scenes",
            "physically based rendering",
            "image quality metrics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1311,
                "image_height": 1224,
                "name": "ulbricht-2006-VOP-.jpg",
                "type": "image/jpeg",
                "size": 1661935,
                "path": "Publication:ulbricht-2006-VOP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006-VOP/ulbricht-2006-VOP-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006-VOP/ulbricht-2006-VOP-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006-VOP/",
        "__class": "Publication"
    },
    {
        "id": "vucini_2006",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "FACE RECOGNITION UNDER VARYING ILLUMINATION",
        "date": "2006-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 298,
            "image_height": 213,
            "name": "vucini_2006-image.jpg",
            "type": "image/jpeg",
            "size": 43530,
            "path": "Publication:vucini_2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            636
        ],
        "note": "Istanbul Technical University",
        "supervisor": [
            1344
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 298,
                "image_height": 213,
                "name": "vucini_2006-image.jpg",
                "type": "image/jpeg",
                "size": 43530,
                "path": "Publication:vucini_2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "vucini_2006-thesis.pdf",
                "type": "application/pdf",
                "size": 3659753,
                "path": "Publication:vucini_2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/vucini_2006-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/vucini_2006/",
        "__class": "Publication"
    },
    {
        "id": "MATTAUSCH-2006-AVC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Visibility-Driven View Cell Construction",
        "date": "2006-06",
        "abstract": "We present a new method for the automatic partitioning of view space into a multi-level view cell hierarchy. We use a cost-based model in order to minimize the average rendering time. Unlike previous methods, our model\ntakes into account the actual visibility in the scene, and the partition is not restricted to planes given by the scene geometry. We show that the resulting view cell hierarchy works for different types of scenes and gives lower average rendering time than previously used methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 788,
            "image_height": 652,
            "name": "MATTAUSCH-2006-AVC-.png",
            "type": "image/png",
            "size": 12026,
            "path": "Publication:MATTAUSCH-2006-AVC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            198,
            193
        ],
        "booktitle": "Rendering Techniques 2006 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2006-06-26",
        "date_to": "2006-06-28",
        "editor": "Wolfgang Heidrich and Tomas Akenine-Moller",
        "isbn": "3-90567-335-5",
        "lecturer": [
            326
        ],
        "location": "Nicosia, Cyprus",
        "organization": "Eurographics",
        "pages_from": "195",
        "pages_to": "206",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "view cells",
            "real-time rendering",
            "visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 788,
                "image_height": 652,
                "name": "MATTAUSCH-2006-AVC-.png",
                "type": "image/png",
                "size": 12026,
                "path": "Publication:MATTAUSCH-2006-AVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-:thumb{{size}}.png"
            },
            {
                "description": "render cost (bsp)",
                "filetitle": "image-viewcells-bsp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 869,
                "image_height": 710,
                "name": "MATTAUSCH-2006-AVC-image-viewcells-bsp.png",
                "type": "image/png",
                "size": 15680,
                "path": "Publication:MATTAUSCH-2006-AVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-bsp.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-bsp:thumb{{size}}.png"
            },
            {
                "description": "render cost (our method)",
                "filetitle": "image-viewcells-vsp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 869,
                "image_height": 709,
                "name": "MATTAUSCH-2006-AVC-image-viewcells-vsp.png",
                "type": "image/png",
                "size": 17096,
                "path": "Publication:MATTAUSCH-2006-AVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-vsp.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-image-viewcells-vsp:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2006-AVC-paper.pdf",
                "type": "application/pdf",
                "size": 1642808,
                "path": "Publication:MATTAUSCH-2006-AVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "MATTAUSCH-2006-AVC-slides.ppt",
                "type": "application/msword",
                "size": 4604928,
                "path": "Publication:MATTAUSCH-2006-AVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/MATTAUSCH-2006-AVC-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/MATTAUSCH-2006-AVC/",
        "__class": "Publication"
    },
    {
        "id": "RAUTEK06",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "D²VR: High Quality Volume Rendering of Projection-based Volumetric Data",
        "date": "2006-05",
        "abstract": "Volume rendering techniques are conventionally classified as either direct or indirect methods. Indirect\r\nmethods require to transform the initial volumetric model into an\r\nintermediate geometrical model in order to efficiently visualize it.\r\nIn contrast, direct volume rendering (DVR) methods can directly\r\nprocess the volumetric data. Modern CT scanners usually provide data as a set of samples on a rectilinear\r\ngrid, which is computed from the measured projections by discrete tomographic reconstruction. Therefore the rectilinear grid can already be considered as an intermediate volume representation. In this paper we introduce direct direct volume rendering (D²VR). D²VR does not require a rectilinear grid, since it is based on an immediate\r\nprocessing of the measured projections. Arbitrary samples for ray\r\ncasting are reconstructed from the projections by using the Filtered\r\nBack-Projection algorithm. Our method removes a lossy resampling step from the classical volume rendering pipeline.\r\nIt provides much higher accuracy than traditional grid-based\r\nresampling techniques do. Furthermore we also present a novel\r\nhigh-quality gradient estimation scheme, which is also based on the\r\nFiltered Back-Projection algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 827,
            "image_height": 827,
            "name": "RAUTEK06-image.jpg",
            "type": "image/jpeg",
            "size": 263457,
            "path": "Publication:RAUTEK06",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            233,
            160,
            161,
            166
        ],
        "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization",
        "lecturer": [
            488
        ],
        "number": "In Proceedings of EuroVis",
        "pages_from": "211",
        "pages_to": "218",
        "publisher": "IEEE CS",
        "research_areas": [],
        "keywords": [
            "Volume Rendering",
            "Filtered Back-Projection",
            "Reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 827,
                "image_height": 827,
                "name": "RAUTEK06-image.jpg",
                "type": "image/jpeg",
                "size": 263457,
                "path": "Publication:RAUTEK06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "RAUTEK06-paper.pdf",
                "type": "application/pdf",
                "size": 14489057,
                "path": "Publication:RAUTEK06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/RAUTEK06-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/RAUTEK06/",
        "__class": "Publication"
    },
    {
        "id": "STEINER-2006-SVC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shadow Volumes in Complex Scenes",
        "date": "2006-05",
        "abstract": "Over the last 10 years, significant progress has been made in the field of computer\r\ngraphics, especially in real-time rendering. Most noteworthy, the use of dedicated\r\ngraphics accelerator hardware has found its way from the professional to the consumer\r\nmarket, and their ever increasing power has allowed for rendering almost\r\nphotorealistic virtual environments while still maintaining interactive framerates.\r\nDespite this rapid development, a significant element of computer graphics has been\r\nneglected for a long time. Shadows do not only provide more realistic-looking scenes,\r\nbut also aid the viewer in perceiving spatial relationships. However, due to the additional\r\ncomputational requirements, it has been impossible for graphics accelerators\r\nto render shadows and keep framerates high enough to maintain the feeling of immersion\r\nfor a long time. Although there are several approaches to realize shadows,\r\ndynamic environments with a multitude of light sources and complex objects still\r\nmake high demands on the hardware.\r\nIn this thesis, a technique is presented to improve the performance of shadow volumes\r\nin complex scenes that consist of a large number of individual objects. Several\r\noptimization techniques have already been proposed that target applications where\r\nthe rasterization of the shadow volume polygons is the main bottleneck. However,\r\nthese optimizations usually assume that the number of individual objects in the\r\nscene is rather small compared to the number of geometric primitives (triangles). In\r\nsuch scenes, calculations can be accelerated by using low-polygon approximations\r\nof the actual geometry. Most of these existing optimization techniques relieve the\r\ngraphics hardware at the cost of increased CPU load. If the CPU is already at peak\r\nload, these techniques do not achieve any performance gain, but rather worsen the\r\nbottleneck in the CPU stage, resulting in an even lower performance.\r\nThis thesis first presents an overview of current state-of-the-art shadowing techniques\r\nthat are based on standard shadow volumes. Then, we will try to adapt\r\nparts of these techniques to work in complex scenes. Specifically, we will improve\r\nvisibility determination for shadow volume culling in GPU-demanding scenes with\r\nlots of individual objects, as well as present a method for the fast creation of segmented\r\n(clamped) shadow volumes that tightly fit the shadow-receiving geometry\r\nusing vertex programs (shaders).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            617
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "shadow volumes",
            "coherent hierarchical culling",
            "cc shadow volumes",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "STEINER-2006-SVC-thesis.pdf",
                "type": "application/pdf",
                "size": 5750333,
                "path": "Publication:STEINER-2006-SVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/STEINER-2006-SVC/STEINER-2006-SVC-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/STEINER-2006-SVC/STEINER-2006-SVC-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/STEINER-2006-SVC/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-06-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Caricaturistic Visualization",
        "date": "2006-04",
        "abstract": "Caricatures are pieces of art depicting persons or sociological conditions\r\nin a non-veridical way. In both cases caricatures are referring\r\nto a reference model. The deviations from the reference model are the characteristic\r\nfeatures of the depicted subject. Good caricatures exaggerate\r\nthe characteristics of a subject in order to accent them.\r\nThe concept of caricaturistic visualization is based on the caricature metaphor.\r\nThe aim of caricaturistic visualization is an illustrative depiction of characteristics of a given dataset by exaggerating\r\ndeviations from the reference model. We present the general concept of caricaturistic visualization as well as an approach for volumetric data.\r\nOur approach investigates different visual representations for the depiction of caricatures. Further we present the caricature matrix, a technique to make differences between datasets easily identifiable.",
        "authors_et_al": false,
        "substitute": "Rautek06Vis",
        "main_image": {
            "description": "",
            "filetitle": "teaserimage",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 629,
            "image_height": 350,
            "preview_image_width": 512,
            "preview_image_height": 512,
            "name": "TR-186-2-06-01-teaserimage.jpg",
            "type": "image/jpeg",
            "size": 112143,
            "path": "Publication:TR-186-2-06-01",
            "preview_name": "TR-186-2-06-01-teaserimage:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 84992,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488,
            171,
            166
        ],
        "number": "TR-186-2-06-01",
        "research_areas": [],
        "keywords": [
            "illustrative visualization",
            "volume visualization",
            "volume manipulation and deformation",
            "focus+context techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-06-01-.pdf",
                "type": "application/pdf",
                "size": 8056566,
                "path": "Publication:TR-186-2-06-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Caricaturistic Volume Deformation of Nose",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 629,
                "image_height": 350,
                "name": "TR-186-2-06-01-Caricaturistic Volume Deformation of Nose.jpg",
                "type": "image/jpeg",
                "size": 112143,
                "path": "Publication:TR-186-2-06-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-Caricaturistic Volume Deformation of Nose.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-Caricaturistic Volume Deformation of Nose:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "teaserimage",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 629,
                "image_height": 350,
                "preview_image_width": 512,
                "preview_image_height": 512,
                "name": "TR-186-2-06-01-teaserimage.jpg",
                "type": "image/jpeg",
                "size": 112143,
                "path": "Publication:TR-186-2-06-01",
                "preview_name": "TR-186-2-06-01-teaserimage:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 84992,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/TR-186-2-06-01-teaserimage:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-01/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-06-02",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Focus of Attention",
        "date": "2006-04",
        "abstract": "This paper introduces a concept for automatic focusing on features within a volumetric data set. The user selects a focus, i.e., object of interest, from a set of pre-defined features. Our system automatically determines the most expressive view on this feature. An optimal viewpoint is estimated by a novel information-theoretic framework\r\nwhich is based on mutual information measure. Viewpoints change smoothly by switching the focus from one feature to another one. This mechanism is controlled by changes in the importance\r\ndistribution among features in the volume. The highest importance is assigned to the feature in focus. Apart from viewpoint selection, the focusing mechanism also steers visual emphasis by assigning a visually more prominent representation. To allow a clear view on\r\nfeatures that are normally occluded by other parts of the volume, the focusing also incorporates cut-away views.",
        "authors_et_al": false,
        "substitute": "vis-foa",
        "main_image": {
            "description": "hand - arteria ulnaris",
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 578,
            "image_height": 406,
            "name": "TR-186-2-06-02-image2.jpg",
            "type": "image/jpeg",
            "size": 54181,
            "path": "Publication:TR-186-2-06-02",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            608,
            207,
            166
        ],
        "research_areas": [],
        "keywords": [
            "optimal viewpoint estimation",
            "interacting with volumetric datasets",
            "volume visualization",
            "illustrative visualization",
            "focus+context techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "hand - arteria radialis",
                "filetitle": "image1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 578,
                "image_height": 406,
                "name": "TR-186-2-06-02-image1.jpg",
                "type": "image/jpeg",
                "size": 38254,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image1:thumb{{size}}.png"
            },
            {
                "description": "hand - arteria ulnaris",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 578,
                "image_height": 406,
                "name": "TR-186-2-06-02-image2.jpg",
                "type": "image/jpeg",
                "size": 54181,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image2:thumb{{size}}.png"
            },
            {
                "description": "hand - radius",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 578,
                "image_height": 406,
                "name": "TR-186-2-06-02-image3.jpg",
                "type": "image/jpeg",
                "size": 38389,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image3.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image3:thumb{{size}}.png"
            },
            {
                "description": "stag beetle - legs",
                "filetitle": "image4",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 417,
                "image_height": 444,
                "name": "TR-186-2-06-02-image4.jpg",
                "type": "image/jpeg",
                "size": 27077,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image4.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image4:thumb{{size}}.png"
            },
            {
                "description": "torso - bones",
                "filetitle": "image5",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 240,
                "image_height": 232,
                "name": "TR-186-2-06-02-image5.jpg",
                "type": "image/jpeg",
                "size": 28184,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image5:thumb{{size}}.png"
            },
            {
                "description": "torso - intestine",
                "filetitle": "image6",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 202,
                "image_height": 298,
                "name": "TR-186-2-06-02-image6.jpg",
                "type": "image/jpeg",
                "size": 24789,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image6:thumb{{size}}.png"
            },
            {
                "description": "torso - kidneys",
                "filetitle": "image7",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 184,
                "image_height": 298,
                "name": "TR-186-2-06-02-image7.jpg",
                "type": "image/jpeg",
                "size": 20185,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image7.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image7:thumb{{size}}.png"
            },
            {
                "description": "torso - liver",
                "filetitle": "image8",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 249,
                "image_height": 231,
                "name": "TR-186-2-06-02-image8.jpg",
                "type": "image/jpeg",
                "size": 20401,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image8.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image8:thumb{{size}}.png"
            },
            {
                "description": "torso - vessels",
                "filetitle": "image9",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 250,
                "image_height": 298,
                "name": "TR-186-2-06-02-image9.jpg",
                "type": "image/jpeg",
                "size": 24389,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image9.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-image9:thumb{{size}}.png"
            },
            {
                "description": "technical report pdf file",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-06-02-pdf.pdf",
                "type": "application/pdf",
                "size": 568185,
                "path": "Publication:TR-186-2-06-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-pdf:thumb{{size}}.png"
            },
            {
                "description": "visual presentation of hand data set",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "TR-186-2-06-02-video.avi",
                "type": "video/x-msvideo",
                "size": 29168640,
                "path": "Publication:TR-186-2-06-02",
                "preview_name": "TR-186-2-06-02-video:preview.png",
                "preview_type": "image/tiff",
                "preview_size": 2308580,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/TR-186-2-06-02-video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "GameTools",
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-02/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-06-03",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploded Views for Volume Data",
        "date": "2006-04",
        "abstract": "Exploded views are an illustration technique in which an object is\r\npartitioned into several segments. These segments are displaced to\r\nreveal otherwise hidden detail. In this paper we apply this concept\r\nto volumetric data in order to solve the general problem of\r\nocclusion. In many cases an object of interest is occluded by other\r\nstructures which nonetheless provide important context information.\r\nWhile transparency or cutaways can be used to reveal a focus object,\r\nthe problem of these techniques is that they remove parts of the\r\ninformation. Exploded views, on the other hand, do not suffer from\r\nthis drawback. Our approach employs a force-based model: the volume\r\nis divided into a part configuration controlled by a number of\r\nforces and constraints. The focus object exerts an explosion force\r\ncausing the parts to arrange according to the given constraints. We\r\nshow that this novel and flexible approach allows for a wide variety\r\nof explosion-based visualizations including view-dependent\r\nexplosions. Furthermore, we present a high-quality GPU-based volume\r\nray casting algorithm for exploded views which allows rendering and\r\ninteraction at several frames per second.",
        "authors_et_al": false,
        "substitute": "bruckner-2006-EVV",
        "main_image": {
            "description": "Exploded volume data view using part constraints",
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 629,
            "image_height": 648,
            "name": "TR-186-2-06-03-Image.jpg",
            "type": "image/jpeg",
            "size": 271966,
            "path": "Publication:TR-186-2-06-03",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "research_areas": [],
        "keywords": [
            "exploded views",
            "illustrative visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Exploded views demonstration (DivX encoded AVI video)",
                "filetitle": "Demonstration",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 256,
                "preview_image_height": 256,
                "name": "TR-186-2-06-03-Demonstration.avi",
                "type": "video/x-msvideo",
                "size": 30501888,
                "path": "Publication:TR-186-2-06-03",
                "preview_name": "TR-186-2-06-03-Demonstration:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 52424,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Demonstration:video.mp4"
            },
            {
                "description": "Exploded volume data view using part constraints",
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 629,
                "image_height": 648,
                "name": "TR-186-2-06-03-Image.jpg",
                "type": "image/jpeg",
                "size": 271966,
                "path": "Publication:TR-186-2-06-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-06-03-Technical Report.pdf",
                "type": "application/pdf",
                "size": 4097956,
                "path": "Publication:TR-186-2-06-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/TR-186-2-06-03-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/TR-186-2-06-03/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2006",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Robust Shadow Mapping with Light Space Perspective Shadow Maps",
        "date": "2006-03",
        "abstract": "In this paper, we present a new shadow mapping technique that improves upon the quality of perspective and\r\nuniform shadow maps. Our technique uses a perspective transform specified in light space which allows treating\r\nall lights as directional lights and does not change the direction of the light sources. This gives all the benefits\r\nof the perspective mapping but avoids the problems inherent in perspective shadow mapping like singularities\r\nin post-perspective space, missed shadow casters etc. Furthermore, we show that both uniform and perspective\r\nshadow maps distribute the perspective aliasing error that occurs in shadow mapping unequally over the available\r\ndepth range. We therefore propose a transform that equalizes this error and gives equally pleasing results for near\r\nand far viewing distances. Our method is simple to implement, requires no scene analysis and is therefore as fast\r\nas uniform shadow mapping.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Construction of z_0 and z_1",
            "filetitle": "newFormula",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1108,
            "image_height": 1024,
            "name": "Wimmer-2006-newFormula.png",
            "type": "image/png",
            "size": 89625,
            "path": "Publication:Wimmer-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Wimmer-2006/Wimmer-2006-newFormula.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Wimmer-2006/Wimmer-2006-newFormula:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            452
        ],
        "booktitle": "ShaderX 4 -- Advanced Rendering Techniques",
        "editor": "Wolfgang Engel",
        "isbn": "1-58450-425-0",
        "pages_from": "313",
        "pages_to": "330",
        "publisher": "Charles River Media",
        "series": "ShaderX",
        "volume": "4",
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "shadows"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Construction of z_0 and z_1",
                "filetitle": "newFormula",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1108,
                "image_height": 1024,
                "name": "Wimmer-2006-newFormula.png",
                "type": "image/png",
                "size": 89625,
                "path": "Publication:Wimmer-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Wimmer-2006/Wimmer-2006-newFormula.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Wimmer-2006/Wimmer-2006-newFormula:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Wimmer-2006/",
        "__class": "Publication"
    },
    {
        "id": "kim-2006-tang",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Tangible User Interface System for CAVE Applications",
        "date": "2006-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 282,
            "image_height": 205,
            "name": "kim-2006-tang-jpg.jpg",
            "type": "image/jpeg",
            "size": 26105,
            "path": "Publication:kim-2006-tang",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            624,
            581,
            625,
            235,
            580
        ],
        "booktitle": "Proceedings of IEEE Virtual Reality",
        "date_from": "2006-03-25",
        "date_to": "2006-03-29",
        "lecturer": [
            581
        ],
        "location": "Alexandria, Virginia, USA",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 282,
                "image_height": 205,
                "name": "kim-2006-tang-jpg.jpg",
                "type": "image/jpeg",
                "size": 26105,
                "path": "Publication:kim-2006-tang",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kim-2006-tang-pdf.pdf",
                "type": "application/pdf",
                "size": 647640,
                "path": "Publication:kim-2006-tang",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/kim-2006-tang-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/kim-2006-tang/",
        "__class": "Publication"
    },
    {
        "id": "loregian_2006_seam",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Seamless Browsing of Visual Contents in Shared Learning Environments",
        "date": "2006-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 251,
            "image_height": 201,
            "name": "loregian_2006_seam-jpg.jpg",
            "type": "image/jpeg",
            "size": 31187,
            "path": "Publication:loregian_2006_seam",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            626,
            235,
            26
        ],
        "booktitle": "Proceedings of the 2nd IEEE International Workshop on PervasivE Learning",
        "date_to": "2006-03-17",
        "lecturer": [
            26
        ],
        "location": "Pisa",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 251,
                "image_height": 201,
                "name": "loregian_2006_seam-jpg.jpg",
                "type": "image/jpeg",
                "size": 31187,
                "path": "Publication:loregian_2006_seam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "loregian_2006_seam-pdf.pdf",
                "type": "application/pdf",
                "size": 558812,
                "path": "Publication:loregian_2006_seam",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/loregian_2006_seam-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/loregian_2006_seam/",
        "__class": "Publication"
    },
    {
        "id": "buerger_raphael_2006_3dpoly",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": " Ausarbeitung und Implementierung eines Verfahrens zum Editieren eines 3D-Volumens",
        "date": "2006-03",
        "abstract": "Wir beschreiben ein Verfahren um Auswahlbereiche in dreidimensionalen Daten zu definieren, das auf der Manipulation eines Polyeders beruht. Die möglichen Operationen sind das Einfügen, Verschieben und Löschen von Ecken. Der von diesem Polyeder umschlossene Bereiche wird dem Benutzer angezeigt, das restliche Volumen wird unsichtbar. Wir zielen dabei auf die Verwendung im Bereich medizinischer Daten ab, in dem immer noch hauptsächlich mit clip-Ebenen gearbeitet wird.\nWährend des Löschens einer Polyederecke bleibt ein Loch im Polyeder zurück, dass von einem dreidimensionalen Polygon berandet wird. Die Triangulierung von dreidimensionalen Polygonen ist NP-vollständig und wird deshalb bisher mittels Heuristiken gelöst. Wir definieren eine Klasse von dreidimensionalen Polygonen die durch Zylinder zerlegt werden können und zeigen, dass alle in unserem Kontext entstehenden dreidimensionalen Polygone zu dieser Klasse gehören. Weiterhin zeigen wir, dass diese Polygone in O(n²) trianguliert werden können. Weiterhin besprechen wir ein neues Verfahren zur Triangulierung von beliebigen dreidimensionalen Polygonen, das zusätzliche Punkte einfügt und eine Adaption des Verfahrens für zylinder-zerlegbare Polygone ist.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "A polyhedron for volume of intereste selction.",
            "filetitle": "Image1",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 570,
            "image_height": 905,
            "name": "buerger_raphael_2006_3dpoly-Image1.png",
            "type": "image/png",
            "size": 379203,
            "path": "Publication:buerger_raphael_2006_3dpoly",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/buerger_raphael_2006_3dpoly/buerger_raphael_2006_3dpoly-Image1.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/buerger_raphael_2006_3dpoly/buerger_raphael_2006_3dpoly-Image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            661
        ],
        "diploma_examina": "2006",
        "supervisor": [
            827
        ],
        "research_areas": [],
        "keywords": [
            "Polyhedra",
            "Interactive Volume of Interest Selection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "A polyhedron for volume of intereste selction.",
                "filetitle": "Image1",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 570,
                "image_height": 905,
                "name": "buerger_raphael_2006_3dpoly-Image1.png",
                "type": "image/png",
                "size": 379203,
                "path": "Publication:buerger_raphael_2006_3dpoly",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/buerger_raphael_2006_3dpoly/buerger_raphael_2006_3dpoly-Image1.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/buerger_raphael_2006_3dpoly/buerger_raphael_2006_3dpoly-Image1:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/buerger_raphael_2006_3dpoly/",
        "__class": "Publication"
    },
    {
        "id": "Cruz-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Modelling and Reconstruction of Peripheral Vascular Structure",
        "date": "2006-03",
        "abstract": "A model is a simplified representation of an object. The modeling stage could be described as shaping individual objects that are later used in the scene. For many years scientists are trying to create an appropriate model of the blood vessels. It looks quite intuitive to believe that a blood vessel can be modeled as a tubular object, and this is true, but the problems appear when you want to create an accurate model that can deal with the wide variability of shapes of diseased blood vessels. From the medical point of view it is quite important to identify, not just the center of the vessel lumen but also the center of the vessel, particularly in the presences of some anomalies, which is the case diseased blood vessels.\r\n\r\nAn accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. We believe that a model-based technique is the most suitable one for parameterizing blood vessels. The main focus of this work is to present a new strategy to parameterize diseased blood vessels of the lower extremity arteries.\r\n\r\nThe first part presents an evaluation of different methods for approximating the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray casting using thresholds and a maximum gradient-like stop criterion, pixel-motion estimation between successive images called block matching, center of gravity and shape based segmentation. The Randomized Hough Transform and ellipse fitting have been used as shape based segmentation techniques. Since in the synthetic data set the centerline is known, an estimation of the error can be calculated in order to determine the accuracy achieved by a given method.\r\n\r\nThe second part describes an estimation of the dimensions of lower extremity arteries, imaged by computed tomography. The vessel is modeled using an elliptical or cylindrical structure with specific dimensions, orientation and CT attenuation values. The model separates two homogeneous regions: Its inner side represents a region of density for vessels, and its outer side a region for background. Taking into account the point spread function of a CT scanner, which is modeled using a Gaussian kernel, in order to smooth the vessel boundary in the model. An optimization process is used to find the best model that fits with the data input. The method provides center location, diameter and orientation of the vessel as well as blood and background mean density values.\r\n\r\nThe third part presents the result of a clinical evaluation of our methods, as a prerequisite step for being used in clinical environment. To perform this evaluation, twenty cases from available patient data were selected and classified as 'mildly diseased' and 'severely diseased' datasets. Manual identification was used as our reference standard. We compared the model fitting method against a standard method, which is currently used in the clinical environment. In general, the mean distance error for every method was within the inter-operator variability. However, the non-linear model fitting technique based on a cylindrical model shows always a better center approximation in most of the cases, 'mildly diseased' as well as 'severely diseased' cases. Clinically, the non-linear model fitting technique is more robust and presented a better estimation in most of the cases. Nevertheless, the radiologists and clinical experts have the last word with respect to the use of this technique in clinical environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "pdf",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "name": "Cruz-thesis-pdf.pdf",
            "type": "application/pdf",
            "size": 7916402,
            "path": "Publication:Cruz-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168
        ],
        "date_end": "2006-03",
        "date_start": "2002-05",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Vessel Visualization",
            "3D Modeling",
            "Segmentation",
            "3D Reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Cruz-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 7916402,
                "path": "Publication:Cruz-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/Cruz-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "AngioVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Cruz-thesis/",
        "__class": "Publication"
    },
    {
        "id": "artusi-2006-sut",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Speed-up Technique for a Local Automatic Color Equalization Model",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            702,
            703,
            190,
            704
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "1",
        "pages_from": "5",
        "pages_to": "14",
        "volume": "25",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "artusi-2006-sut-pdf.pdf",
                "type": "application/pdf",
                "size": 765397,
                "path": "Publication:artusi-2006-sut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/artusi-2006-sut/artusi-2006-sut-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/artusi-2006-sut/artusi-2006-sut-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/artusi-2006-sut/",
        "__class": "Publication"
    },
    {
        "id": "Brandorff_06_PON",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "PongX",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 400,
            "image_height": 533,
            "name": "Brandorff_06_PON-.jpg",
            "type": "image/jpeg",
            "size": 72855,
            "path": "Publication:Brandorff_06_PON",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            629
        ],
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "Game",
            "Virtual Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 400,
                "image_height": 533,
                "name": "Brandorff_06_PON-.jpg",
                "type": "image/jpeg",
                "size": 72855,
                "path": "Publication:Brandorff_06_PON",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/Brandorff_06_PON-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Brandorff_06_PON/",
        "__class": "Publication"
    },
    {
        "id": "dataset-present",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Christmas Present",
        "date": "2006",
        "abstract": "An industrial CT scan of a christmas present.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 370,
            "image_height": 414,
            "name": "dataset-present-.jpg",
            "type": "image/jpeg",
            "size": 82833,
            "path": "Publication:dataset-present",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611
        ],
        "research_areas": [],
        "keywords": [
            "volume",
            "data set"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 370,
                "image_height": 414,
                "name": "dataset-present-.jpg",
                "type": "image/jpeg",
                "size": 82833,
                "path": "Publication:dataset-present",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "246x246x221",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-present-246x246x221.zip",
                "type": "application/x-zip",
                "size": 10334825,
                "path": "Publication:dataset-present",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-246x246x221.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "328x328x294",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-present-328x328x294.zip",
                "type": "application/x-zip",
                "size": 24256757,
                "path": "Publication:dataset-present",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-328x328x294.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "492x492x442",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-present-492x492x442.zip",
                "type": "application/x-zip",
                "size": 80942942,
                "path": "Publication:dataset-present",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/dataset-present-492x492x442.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/dataset-present/",
        "__class": "Publication"
    },
    {
        "id": "Fauster-06-st",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stereoscopic Techniques in Computer Graphics",
        "date": "2006",
        "abstract": "This paper describes the most important techniques to create stereoscopy. At the beginning a brief summary of the history of stereoscopic viewing is outlined.\r\nThe classical stereoscopy methods such as anaglyph or polarized images and the more modern techniques such as head mounted displays or three-dimensional\r\nLCD’s are described and compared. Advantages and disadvantages of each method are stated. At the end volumetric and holographic displays are described,\r\nalthough they don’t belong to the stereoscopy techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Fauster-06-st-.pdf",
            "type": "application/pdf",
            "size": 544822,
            "path": "Publication:Fauster-06-st",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Fauster-06-st/Fauster-06-st-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Fauster-06-st/Fauster-06-st-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            654
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Stereoscopic rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fauster-06-st-.pdf",
                "type": "application/pdf",
                "size": 544822,
                "path": "Publication:Fauster-06-st",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Fauster-06-st/Fauster-06-st-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Fauster-06-st/Fauster-06-st-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Fauster-06-st/",
        "__class": "Publication"
    },
    {
        "id": "heinzl_2006_RSDVCDM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Robust Surface Detection for Variance Comparison and Dimensional Measurement",
        "date": "2006",
        "abstract": "This paper describes a robust method for creating surface models from volume datasets with distorted density\r\nvalues due to artefacts and noise. Application scenario for the presented work is variance comparison and\r\ndimensional measurement of homogeneous industrial components in industrial high resolution 3D computed\r\ntomography (3D-CT). We propose a pipeline which uses common 3D image processing filters for pre-processing\r\nand segmentation of 3D-CT datasets in order to create the surface model. In particular, a pre-filtering step\r\nreduces noise and artefacts without blurring edges in the dataset. A watershed filter is applied on the gradient\r\ninformation of the smoothed data to create a binary dataset. Finally the surface model is constructed, using\r\nconstrained elastic-surface nets to generate a smooth but feature preserving mesh of a binary volume. The major\r\ncontribution of this paper is the development of the specific processing pipeline for homogeneous industrial\r\ncomponents to handle large resolution data of industrial CT scanners. The pipeline is crucial for the following\r\nvisual inspection of deviations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 251,
            "preview_image_height": 239,
            "name": "heinzl_2006_RSDVCDM-paper.pdf",
            "type": "application/pdf",
            "size": 1769811,
            "path": "Publication:heinzl_2006_RSDVCDM",
            "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 44791,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            611,
            612,
            613,
            166
        ],
        "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization",
        "lecturer": [
            611
        ],
        "pages_from": "75",
        "pages_to": "82",
        "publisher": "IEEE CS",
        "research_areas": [],
        "keywords": [
            "Applications"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 251,
                "preview_image_height": 239,
                "name": "heinzl_2006_RSDVCDM-paper.pdf",
                "type": "application/pdf",
                "size": 1769811,
                "path": "Publication:heinzl_2006_RSDVCDM",
                "preview_name": "heinzl_2006_RSDVCDM-paper:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 44791,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/heinzl_2006_RSDVCDM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "PVG"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/heinzl_2006_RSDVCDM/",
        "__class": "Publication"
    },
    {
        "id": "Holzer-06-HDR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "High Dynamic Range Image Formats",
        "date": "2006",
        "abstract": "HDR-image formats are able to encode a much greater range of colors and light intensities than standard 24-bit formats do. The latter were designed to be conveniently displayed with 20 year old monitor technology, i.e. CRT monitors. Since high-fidelity digital imaging\r\nhas become more and more important in the last years, so has the need for the use of HDRI-technology. This document gives an overview of available HDRI-formats, their history and applications. The most relevant formats are compared and their advantages, disadvantages, capabilities and features are discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Holzer-06-HDR-.pdf",
            "type": "application/pdf",
            "size": 910200,
            "path": "Publication:Holzer-06-HDR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Holzer-06-HDR/Holzer-06-HDR-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Holzer-06-HDR/Holzer-06-HDR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            655
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "HDR format"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Holzer-06-HDR-.pdf",
                "type": "application/pdf",
                "size": 910200,
                "path": "Publication:Holzer-06-HDR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Holzer-06-HDR/Holzer-06-HDR-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Holzer-06-HDR/Holzer-06-HDR-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Holzer-06-HDR/",
        "__class": "Publication"
    },
    {
        "id": "Marek06",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Flowfield-driven Volume Deformation",
        "date": "2006",
        "abstract": "The volumetric flow (compare optical flow in 2D) is defined as the change of the volume over time. We define the volumetric flow on a regular grid. At each voxel position on the grid, a vector is defined, which is the flow on this position. Between voxels the volumetric flow is defined by the trilinear interpolation of the surrounding voxels.\r\nThe project is divided in three subtasks: The specification, the visualization and the categorization of the volumetric flow. The goals of this computer science project are the first two subtasks: the interactive specification and visualization of the volumetric flow.\r\nFor documentation goto: http://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/SMarek/htmldoc/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 320,
            "image_height": 240,
            "name": "Marek06-.jpg",
            "type": "image/jpeg",
            "size": 21867,
            "path": "Publication:Marek06",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            653
        ],
        "supervisor": [
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 320,
                "image_height": 240,
                "name": "Marek06-.jpg",
                "type": "image/jpeg",
                "size": 21867,
                "path": "Publication:Marek06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-:thumb{{size}}.png"
            },
            {
                "description": "Dokumentation, Src, Bin",
                "filetitle": "zip-archive",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Marek06-zip-archive.zip",
                "type": "application/x-zip",
                "size": 15696869,
                "path": "Publication:Marek06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/Marek06-zip-archive.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Marek06/",
        "__class": "Publication"
    },
    {
        "id": "G_P_06_RFS",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering of Forest Scenes",
        "date": "2006",
        "abstract": "I will discuss and compare two methods to render large forest scenes. One involves pre-generated impostors with different levels of coarseness, the other one batches up large parts of the scene according to an octree grid. Additionally, a method for LOD blending without transparency and a method for tree shading will also be presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 400,
            "image_height": 299,
            "name": "G_P_06_RFS-.jpg",
            "type": "image/jpeg",
            "size": 49489,
            "path": "Publication:G_P_06_RFS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            627
        ],
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "hierarchy",
            "forest",
            "rendering",
            "ogre",
            "gpu"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 400,
                "image_height": 299,
                "name": "G_P_06_RFS-.jpg",
                "type": "image/jpeg",
                "size": 49489,
                "path": "Publication:G_P_06_RFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-:thumb{{size}}.png"
            },
            {
                "description": "Developermanual",
                "filetitle": "Developermanual",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "G_P_06_RFS-Developermanual.pdf",
                "type": "application/pdf",
                "size": 828148,
                "path": "Publication:G_P_06_RFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Developermanual.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Developermanual:thumb{{size}}.png"
            },
            {
                "description": "Manual",
                "filetitle": "Manual",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "G_P_06_RFS-Manual.pdf",
                "type": "application/pdf",
                "size": 513365,
                "path": "Publication:G_P_06_RFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Manual.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Manual:thumb{{size}}.png"
            },
            {
                "description": "Report",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "G_P_06_RFS-Report.pdf",
                "type": "application/pdf",
                "size": 3268449,
                "path": "Publication:G_P_06_RFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/G_P_06_RFS-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/G_P_06_RFS/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2006-cgf",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics Forum",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            206
        ],
        "note": "Guest editors of this EG 2006 proceeding (Herausgabe einer Buchreihe)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/groeller-2006-cgf/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2006-civ",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer-supported Illustrative Visualization",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2006-10-11",
        "event": "Kolloquium",
        "location": "Bonn, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/groeller-2006-civ/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2006-tvcg",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE Transactions on Visualization and Computer Graphics",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            650,
            594,
            651,
            652
        ],
        "note": "Herausgabe eines Tagungsbandes",
        "pages": "1360",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/groeller-2006-tvcg/",
        "__class": "Publication"
    },
    {
        "id": "Hartl_2006_OgC",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "OgreCollada",
        "date": "2006",
        "abstract": "Implementation of a Collada 1.3.1 importer for the Ogre3D Graphics Engine.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Collada import",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "Hartl_2006_OgC-.png",
            "type": "image/png",
            "size": 107937,
            "path": "Publication:Hartl_2006_OgC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            619
        ],
        "supervisor": [
            618
        ],
        "research_areas": [],
        "keywords": [
            "Ogre3D",
            "Collada"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Collada import",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "Hartl_2006_OgC-.png",
                "type": "image/png",
                "size": 107937,
                "path": "Publication:Hartl_2006_OgC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/Hartl_2006_OgC-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Hartl_2006_OgC/",
        "__class": "Publication"
    },
    {
        "id": "havran-2006-tut",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Sorting and Searching in Rendering Algorithms",
        "date": "2006",
        "abstract": "In this tutorial we would like to highlight the connection between rendering algorithms and sorting\nand searching as classical problems studied in computer science. We will provide both theoretical and\nempirical evidence that for many rendering techniques most time is spent by sorting and searching. In\nparticular we will discuss problems and solutions for visibility computation, density estimation, and importance\nsampling. For each problem we mention its specific issues such as dimensionality of the search\ndomain or online versus offline searching. We will present the underlying data structures and their enhancements\nin the context of specific rendering algorithms such as ray shooting, photon mapping, and hidden\nsurface removal.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 351,
            "image_height": 218,
            "name": "havran-2006-tut-image.png",
            "type": "image/png",
            "size": 1945,
            "path": "Publication:havran-2006-tut",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            198
        ],
        "event": "Eurographics 2006 Tutorial T4",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Visibility",
            "Sorting and Searching",
            "Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 351,
                "image_height": 218,
                "name": "havran-2006-tut-image.png",
                "type": "image/png",
                "size": 1945,
                "path": "Publication:havran-2006-tut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-image:thumb{{size}}.png"
            },
            {
                "description": "Tutorial slides",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "havran-2006-tut-slides.pdf",
                "type": "application/pdf",
                "size": 4029552,
                "path": "Publication:havran-2006-tut",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-slides.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/havran-2006-tut-slides:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/havran-2006-tut/",
        "__class": "Publication"
    },
    {
        "id": "tut-eg-2006",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Eurographics Tutorial on Illustrative Visualization for Science and Medicine",
        "date": "2006",
        "abstract": "This tutorial presents recent and important research and developments from academia in illustrative, nonphotorealistic rendering (NPR) focusing on its use for medical/science subjects. Lectures are organized within\na comprehensive illustration framework, focusing on three main components:\n\n(a) Traditional and computerized illustration techniques and principles for Technical and Science Subjects,\n\n(b) Evaluation and Practical Use,\n\n(c) Viewing & Rendering. \n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of NPR techniques and\nalgorithms.\nWe begin with a lecture presenting an overview of traditional illustration in technical, science, and medical subjects\nfollowed by a description of the main components in a NPR pipeline for developing systems to help technical\nand science illustrators with their work. The tutorial progresses with an overview of the NPR used in illustration\nas well as approaches to evaluate their use and effectiveness. Following lectures describe the latest techniques in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering\ntechniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering.\nEach of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. Tutorial concludes with discussion on specific medical case studies where the illustrative visualization has been effectively applied.\n\nEurographics 2006 tutorial page:\nhttp://www.cg.tuwien.ac.at/events/EG06/program-t1022.php\n\nSee also previous tutorials on Illustrative Visualization:\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine\nhttp://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization\nhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 281,
            "image_height": 300,
            "name": "tut-eg-2006-.png",
            "type": "image/png",
            "size": 54466,
            "path": "Publication:tut-eg-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            565,
            564,
            563,
            596,
            631,
            633
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 281,
                "image_height": 300,
                "name": "tut-eg-2006-.png",
                "type": "image/png",
                "size": 54466,
                "path": "Publication:tut-eg-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-:thumb{{size}}.png"
            },
            {
                "description": "Smart Visibility in Visualization and Importance-Driven Retargeting",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "tut-eg-2006-Slides.zip",
                "type": "application/x-zip",
                "size": 54741002,
                "path": "Publication:tut-eg-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Slides.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Overview and complete notes to each contribution",
                "filetitle": "Tutorial Notes",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "tut-eg-2006-Tutorial Notes.pdf",
                "type": "application/pdf",
                "size": 9880748,
                "path": "Publication:tut-eg-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/tut-eg-2006-Tutorial Notes:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/",
        "__class": "Publication"
    },
    {
        "id": "tut-siggraph-2006",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "SIGGRAPH Course Illustrative Visualization for Medicine and Science",
        "date": "2006",
        "abstract": "Research and recent development in computer-generated illustration techniques within non-photorealistic rendering. The course concentrates specifically on illustration methods for computer-generated technical, scientific, medical, and interactive illustrations of both surface and volumetric data. It also presents the perspective of two medical illustrators on computerized illustration.\n\nACM SIGGRAPH 2006 course page: http://www.siggraph.org/s2006/main.php?f=conference&p=courses&s=6\n\nFurther Information:\nhttp://pages.cpsc.ucalgary.ca/~mario/webpage/publ/courses.htm\n\nSee also previous tutorials on Illustrative Visualization:\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            565,
            564,
            596,
            171,
            161,
            631,
            566,
            632
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Overview on schedule, talks, and speakers",
                "filetitle": "Course Notes",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "tut-siggraph-2006-Course Notes.pdf",
                "type": "application/pdf",
                "size": 163504,
                "path": "Publication:tut-siggraph-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Course Notes:thumb{{size}}.png"
            },
            {
                "description": "Smart Visibility in Visualization - Ivan Viola",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "tut-siggraph-2006-Slides.zip",
                "type": "application/x-zip",
                "size": 77291824,
                "path": "Publication:tut-siggraph-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/tut-siggraph-2006-Slides.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/",
        "__class": "Publication"
    },
    {
        "id": "tut-vis-2006",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE Visualization Tutorial on Illustrative Visualization for Science and Medicine",
        "date": "2006",
        "abstract": "This tutorial presents recent research and developments from academia in illustrative visualization focusing on its use for medical/science subjects. Lectures are organized within a\ncomprehensive illustration framework, focusing on three main components:\n\n• Traditional and computerized illustration techniques and principles for technical and\nscientific subjects\n\n• Evaluation and practical use\n\n• Viewing & rendering\n\nPresentation of topics is balanced between descriptions of traditional methods and practices, practical implementation motivated approaches and evaluation, and detailed descriptions and analysis of illustrative techniques and algorithms. We begin in the morning with a lecture presenting an overview of traditional illustration for\ntechnical, scientific, and medical subjects. This is followed by a description of the main components in an illustrative visualization pipeline for developing systems to assist technical\nand scientific illustrators. The tutorial progresses with an overview of the techniques used in illustration as well as approaches to evaluate their use and effectiveness. The morning concludes with the start of the “viewing and rendering” section. The three lectures in this section describe the latest approaches in computerized illustration algorithms for scientific and medical data for both surface and volumetric data, covering techniques from silhouette enhancement to stippling, to cut-away viewing, labeling, and focus+context rendering. Each of the lectures also discusses practical issues in making these techniques interactive and their use for different application domains. The tutorial includes a trained medical illustrator discussing the principles/caveats/issues in using illustration techniques in real-world medical applications. This lecture will also describe an evaluation, from an illustrator’s point of view, of the use and quality of the techniques presented throughout the day. The tutorial concludes with discussion on specific medical case studies where illustrative visualization has been effectively applied.\n\nIEEE Visualization 2006 Tutorial Page:\nhttp://vis.computer.org/vis2006/session/tutorials.html#t3\n\nSee also previous tutorials on Illustrative Visualization:\n\nEurographics 2006 Tutorial on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-eg-2006/\n\nSIGGRAPH 2006 Course on Illustrative Visualization for Science and Medicine http://www.cg.tuwien.ac.at/research/publications/2006/tut-siggraph-2006/\n\nIEEE Visualization 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/\n\nEurographics 2005 Tutorial on Illustrative Visualization http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/ ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "Image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 250,
            "image_height": 260,
            "name": "tut-vis-2006-Image.png",
            "type": "image/png",
            "size": 92894,
            "path": "Publication:tut-vis-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            565,
            564,
            631,
            596,
            161,
            563,
            566,
            632,
            633
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 250,
                "image_height": 260,
                "name": "tut-vis-2006-Image.png",
                "type": "image/png",
                "size": 92894,
                "path": "Publication:tut-vis-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/tut-vis-2006-Image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/tut-vis-2006/",
        "__class": "Publication"
    },
    {
        "id": "ulbricht-2006apw",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Problem with the Use of XYZ Colour Space for Photorealistic Rendering Computations",
        "date": "2006",
        "abstract": "CIE XYZ colour space is sometimes recommended in literature for photorealistic rendering computations because it allows one to simultaneously handle all perceivable colours at much lower computational cost than by using spectral rendering. \r\n\r\nIn this paper we show that XYZ is actually a poor choice for such computations, since it is not closed under the component-wise multiplication which is a typical operation in a rendering system. We also discuss why this rather obvious fact has not received much attention yet, and give pointers to alternative solutions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 438,
            "image_height": 582,
            "name": "ulbricht-2006apw-.jpg",
            "type": "image/jpeg",
            "size": 112784,
            "path": "Publication:ulbricht-2006apw",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006apw/ulbricht-2006apw-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006apw/ulbricht-2006apw-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225,
            192
        ],
        "booktitle": "Third European Conference on Colour in Graphics, Imaging, and Vision",
        "lecturer": [
            1306
        ],
        "pages_from": "435",
        "pages_to": "437",
        "publisher": "CGIV",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 438,
                "image_height": 582,
                "name": "ulbricht-2006apw-.jpg",
                "type": "image/jpeg",
                "size": 112784,
                "path": "Publication:ulbricht-2006apw",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006apw/ulbricht-2006apw-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006apw/ulbricht-2006apw-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/ulbricht-2006apw/",
        "__class": "Publication"
    },
    {
        "id": "viola-2006-FoA",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Focus of Attention for Volumetric Data Inspection",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 530,
            "image_height": 245,
            "name": "viola-2006-FoA-.png",
            "type": "image/png",
            "size": 166666,
            "path": "Publication:viola-2006-FoA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            608,
            207,
            166
        ],
        "date_from": "2006-05-28",
        "date_to": "2006-06-02",
        "event": "Dagstuhl Seminar on Computational Aesthetics in Computer Graphics, Visualization, and Imaging",
        "location": "Dagstuhl castle, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 530,
                "image_height": 245,
                "name": "viola-2006-FoA-.png",
                "type": "image/png",
                "size": 166666,
                "path": "Publication:viola-2006-FoA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2006-FoA-Slides.ppt",
                "type": "application/msword",
                "size": 4308992,
                "path": "Publication:viola-2006-FoA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/viola-2006-FoA-Slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-2006-FoA/",
        "__class": "Publication"
    },
    {
        "id": "viola-popular-article-2006",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Explodierende Körper",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 339,
            "image_height": 337,
            "name": "viola-popular-article-2006-Teaser.jpg",
            "type": "image/jpeg",
            "size": 30411,
            "path": "Publication:viola-popular-article-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            634,
            171,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Interview for a medical agazine",
                "filetitle": "Article",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-popular-article-2006-Article.pdf",
                "type": "application/pdf",
                "size": 195081,
                "path": "Publication:viola-popular-article-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Article:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 339,
                "image_height": 337,
                "name": "viola-popular-article-2006-Teaser.jpg",
                "type": "image/jpeg",
                "size": 30411,
                "path": "Publication:viola-popular-article-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/viola-popular-article-2006-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/viola-popular-article-2006/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2006-CES",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "CESCG 2000-2005 Best Papers Selection",
        "date": "2006",
        "abstract": "The Central European Seminar on Computer Graphics, or CESCG, as it is commonly known by its participants,\r\nwas established to bring computer graphics students together across\r\nboundaries of universities and countries, originally from Central Europe,\r\nnowadays from almost all parts of the old European continent.\r\nCESCG came into existence ten years ago, which is a long time not only\r\nfor a conference but also for its inventors, organizers, and participants.\r\nThe 10th year anniversary makes us look back and recall\r\nhow the child called CESCG was born and how it grew into its teenager years.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 984,
            "image_height": 1409,
            "name": "WIMMER-2006-CES-.jpg",
            "type": "image/jpeg",
            "size": 304929,
            "path": "Publication:WIMMER-2006-CES",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-CES/WIMMER-2006-CES-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-CES/WIMMER-2006-CES-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            583,
            206,
            176
        ],
        "isbn": "3-85403-204-8",
        "pages": "279",
        "publisher": "Austrian Computer Society",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 984,
                "image_height": 1409,
                "name": "WIMMER-2006-CES-.jpg",
                "type": "image/jpeg",
                "size": 304929,
                "path": "Publication:WIMMER-2006-CES",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-CES/WIMMER-2006-CES-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-CES/WIMMER-2006-CES-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-CES/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2006-PSM",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Shadow Mapping",
        "date": "2006",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2006-08-21",
        "date_to": "2006-08-23",
        "event": "Games Convention Developers Conference 2006",
        "location": "Leipzig, Germany",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-PSM/",
        "__class": "Publication"
    },
    {
        "id": "WIMMER-2006-SIV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sampling in Visibility",
        "date": "2006",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_from": "2006-06-29",
        "date_to": "2006-06-30",
        "event": "Ayia Napa Summer Seminar on Recent Results in Rendering and Modeling in Computer Graphics",
        "location": "Aiya Napa, Cyprus",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/WIMMER-2006-SIV/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2006",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2006",
        "date": "2006",
        "abstract": "THE CHRISTMAS PRESENT\n\nWe scanned the Christmas present (see photo) by micro\ncomputed tomography. By segmentation we separated the snow globe\ncontaining the St. Stephen's Cathedral from its surroundings. The\ncomputer-generated images were rendered with VolumeShop. The image\non the front shows an exploded view of the parcel interior.\n\nSince its secrets are now revealed, the present will not be opened for\nChristmas, and indeed, there are hidden creatures lurking inside…\n\nDAS WEIHNACHTSGESCHENK\n\nWir haben das Weihnachtsgeschenk (siehe Photo) mittels Mikro-Computertomographie aufgenommen. Durch Segmentierung trennten wir\ndie Schneekugel mit dem Stephansdom von ihrer Umgebung. Die\ncomputergenerierten Bilder wurden mit VolumeShop erzeugt. Das Bild auf\nder Vorderseite zeigt eine Explosionsdarstellung des Paketinhaltes.\n\nDa nun seine Geheimnisse gelüftet sind, wird das Geschenk zu Weihnachten nicht geöffnet, lauern doch versteckte Kreaturen in seinem Inneren…\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Front",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1310,
            "name": "xmas-2006-image.png",
            "type": "image/png",
            "size": 1143525,
            "path": "Publication:xmas-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            616
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Christmas Card",
                "filetitle": "card",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2006-card.pdf",
                "type": "application/pdf",
                "size": 3652310,
                "path": "Publication:xmas-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-card:thumb{{size}}.png"
            },
            {
                "description": "Front",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1310,
                "name": "xmas-2006-image.png",
                "type": "image/png",
                "size": 1143525,
                "path": "Publication:xmas-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-image:thumb{{size}}.png"
            },
            {
                "description": "Photo of the present",
                "filetitle": "photo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1345,
                "image_height": 1413,
                "name": "xmas-2006-photo.png",
                "type": "image/png",
                "size": 2765055,
                "path": "Publication:xmas-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-photo.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/xmas-2006-photo:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/xmas-2006/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2006-archaeo",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Zur astronomischen Orientierung der Kreisgrabenanlagen Niederoesterreichs",
        "date": "2006",
        "abstract": "During the preparation of an exhibition about Neolithic circular enclosures (Kreisgrabenanlagen), the author found indications for the astronomical orientation of some of their doorways which are presented in this talk.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "German abstract",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "zotti-2006-archaeo-.pdf",
            "type": "application/pdf",
            "size": 64585,
            "path": "Publication:zotti-2006-archaeo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-archaeo/zotti-2006-archaeo-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-archaeo/zotti-2006-archaeo-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "date_from": "2006-11-09",
        "date_to": "2006-11-11",
        "event": "Tagung: Astronomische Orientierung\nund Kalender in der Vorgeschichte",
        "location": "Berlin, Museum fuer Ur- und Fruehgeschichte (Museum for Pre- and Early History)",
        "research_areas": [],
        "keywords": [
            "Prehistoric astronomy",
            "calendar history",
            "orientation of stone-age buildings"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "German abstract",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2006-archaeo-.pdf",
                "type": "application/pdf",
                "size": 64585,
                "path": "Publication:zotti-2006-archaeo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-archaeo/zotti-2006-archaeo-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-archaeo/zotti-2006-archaeo-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-archaeo/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2006-dgm",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Sky Dome Visualisation for Identification of Astronomical Orientations",
        "date": "2006",
        "abstract": "It has long been known that ancient temples were frequently oriented\n  along the cardinal directions or to certain points along the horizon\n  where the Sun or the Moon rises or sets on special days of the year.  In the\n  last decades, archaeologists have found evidence of even older\n  building structures buried in the soil, with doorways that also\n  appear to have distinct orientations.\n\n  This paper presents a novel diagram combining archaeological maps\n  with a folded-apart, flattened view of the whole sky, showing the\n  local horizon and the daily paths of the Sun, Moon and brighter stars.\n  By use of this diagram, interesting groupings of astronomical\n  orientation directions, e.g. to certain sunrise and sunset points\n  could be identified, which were evidently used to mark certain days\n  of the year. Orientations towards rising and setting points of a few\n  significant stars very likely indicated the beginning of the\n  agricultural year in the middle neolithic period.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "This diagram combines an archaeological map (center) with horizon data (black irregular ring) and sky data for the archaeological site. Possible astronomical alignments can immediately be recognized.",
            "filetitle": "Steinabrunn Stone Age Sky",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1200,
            "image_height": 1200,
            "name": "zotti-2006-dgm-Steinabrunn Stone Age Sky.png",
            "type": "image/png",
            "size": 110600,
            "path": "Publication:zotti-2006-dgm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "issn": "1473-8716",
        "journal": "Information Visualization",
        "number": "5",
        "pages_from": "152",
        "pages_to": "166",
        "volume": "2006",
        "research_areas": [],
        "keywords": [
            "data mining",
            "astronomy",
            "archaeology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "(The journal paper in its final form is not available. This is a PDF with the same content.)",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2006-dgm-.pdf",
                "type": "application/pdf",
                "size": 9177816,
                "path": "Publication:zotti-2006-dgm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-:thumb{{size}}.png"
            },
            {
                "description": "This diagram combines an archaeological map (center) with horizon data (black irregular ring) and sky data for the archaeological site. Possible astronomical alignments can immediately be recognized.",
                "filetitle": "Steinabrunn Stone Age Sky",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1200,
                "image_height": 1200,
                "name": "zotti-2006-dgm-Steinabrunn Stone Age Sky.png",
                "type": "image/png",
                "size": 110600,
                "path": "Publication:zotti-2006-dgm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/zotti-2006-dgm-Steinabrunn Stone Age Sky:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/zotti-2006-dgm/",
        "__class": "Publication"
    },
    {
        "id": "Rautek-2006",
        "type_id": "unknown",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vis T-Shirt 2006",
        "date": "2006",
        "abstract": "The T-Shirt that was produced for the IEEE Visualization conference 2006.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thumbnail",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 731,
            "image_height": 730,
            "name": "Rautek-2006-thumbnail.jpg",
            "type": "image/jpeg",
            "size": 281470,
            "path": "Publication:Rautek-2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-thumbnail.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-thumbnail:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Back side of the Vis T-Shirt",
                "filetitle": "back",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek-2006-back.pdf",
                "type": "application/pdf",
                "size": 343899,
                "path": "Publication:Rautek-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-back.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-back:thumb{{size}}.png"
            },
            {
                "description": "Front side of the Vis T-Shirt",
                "filetitle": "front",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek-2006-front.pdf",
                "type": "application/pdf",
                "size": 3027913,
                "path": "Publication:Rautek-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-front.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-front:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thumbnail",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 731,
                "image_height": 730,
                "name": "Rautek-2006-thumbnail.jpg",
                "type": "image/jpeg",
                "size": 281470,
                "path": "Publication:Rautek-2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-thumbnail.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/Rautek-2006-thumbnail:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek-2006/",
        "__class": "Publication"
    },
    {
        "id": "Rautek06VMLS",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Caricaturistic Visualization",
        "date": "2006",
        "abstract": "For many applications of medicine and life science, data is gathered or measured to find and to analyze the characteristics of the investigated object. Characteristics of a dataset can be expressed as the deviations from the norm. These deviations traditionally are found and classified using statistical methods. In many cases the statistical models do not appropriately describe the underlying phenomenon. They are therefore unsuitable for the data of interest. In this case visualization can replace the statistical methods. Expressive visualizations guide the user to find characteristics. Further the user is enabled to analyze the deviations of a given dataset.\r\nCaricaturistic visualization is an expressive method tailored to depict the deviations in an exaggerated way. It is guided by the idea of caricatures which exaggerate the outstanding features of an object. A method for caricaturistic visualization is presented and its power is shown on different examples. Caricaturistic visualization assumes the existence of a reference model. In many applications an explicit reference model is not available. To overcome this limitation different datasets are compared to each other. This results in the Caricature matrix, a 2D matrix of caricaturistic visualizations. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Caricaturistic Vessel Visualization",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 416,
            "image_height": 903,
            "name": "Rautek06VMLS-image.bmp",
            "type": "image/x-ms-bmp",
            "size": 1126998,
            "path": "Publication:Rautek06VMLS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "date_from": "2006-07-19",
        "date_to": "2006-07-21",
        "event": "Workshop on Visualization in Medicine and Life Sciences",
        "location": "Rügen, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Caricaturistic Vessel Visualization",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 416,
                "image_height": 903,
                "name": "Rautek06VMLS-image.bmp",
                "type": "image/x-ms-bmp",
                "size": 1126998,
                "path": "Publication:Rautek06VMLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image.bmp",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-image:thumb{{size}}.png"
            },
            {
                "description": "Slides of the presentation",
                "filetitle": "Presentation",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rautek06VMLS-Presentation.ppt",
                "type": "application/msword",
                "size": 23325696,
                "path": "Publication:Rautek06VMLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/Rautek06VMLS-Presentation.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rautek06VMLS/",
        "__class": "Publication"
    },
    {
        "id": "Rezk06Vis",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Level User Interfaces for Transfer Function Design with Semantics",
        "date": "2006",
        "abstract": "Many sophisticated techniques for the visualization of volumetric data such as medical data have been published. While existing techniques are mature from a technical point of view, managing\r\nthe complexity of visual parameters is still difficult for non-expert users. To this end, this paper presents new ideas to facilitate the specification of optical properties for direct volume rendering. We introduce an additional level of abstraction for parametric\r\nmodels of transfer functions. The proposed framework allows visualization\r\nexperts to design high-level transfer function models which can intuitively be used by non-expert users. The results are user interfaces which provide semantic information for specialized\r\nvisualization problems. The proposed method is based on principal component analysis as well as on concepts borrowed from computer animation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Computed tomography angiography of the human head visualized by the use of a semantic transfer function model.",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 327,
            "image_height": 304,
            "name": "Rezk06Vis-image.jpg",
            "type": "image/jpeg",
            "size": 80830,
            "path": "Publication:Rezk06Vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            622,
            623,
            605
        ],
        "date_from": "2006-10",
        "event": "IEEE Visualization 2006",
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "lecturer": [
            622
        ],
        "number": "5",
        "pages_from": "1021",
        "pages_to": "1028",
        "volume": "12",
        "research_areas": [],
        "keywords": [
            "semantic models.",
            "transfer function design",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Computed tomography angiography of the human head visualized by the use of a semantic transfer function model.",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 327,
                "image_height": 304,
                "name": "Rezk06Vis-image.jpg",
                "type": "image/jpeg",
                "size": 80830,
                "path": "Publication:Rezk06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Rezk06Vis-paper.pdf",
                "type": "application/pdf",
                "size": 1693693,
                "path": "Publication:Rezk06Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/Rezk06Vis-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rezk06Vis/",
        "__class": "Publication"
    },
    {
        "id": "Roch2006",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware Acceleration of a detail-preserving Tonemapping Algorithm",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Roch2006-.pdf",
            "type": "application/pdf",
            "size": 1376841,
            "path": "Publication:Roch2006",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            598
        ],
        "supervisor": [
            191
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Roch2006-.pdf",
                "type": "application/pdf",
                "size": 1376841,
                "path": "Publication:Roch2006",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/Roch2006-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Roch2006/",
        "__class": "Publication"
    },
    {
        "id": "Rudolf_06_IDM",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Displacement Mapping using GPU ray casting",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 489,
            "image_height": 551,
            "name": "Rudolf_06_IDM-.jpg",
            "type": "image/jpeg",
            "size": 193110,
            "path": "Publication:Rudolf_06_IDM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/Rudolf_06_IDM-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/Rudolf_06_IDM-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            628
        ],
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [
            "Displacement Mapping",
            "GPU",
            "ray casting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 489,
                "image_height": 551,
                "name": "Rudolf_06_IDM-.jpg",
                "type": "image/jpeg",
                "size": 193110,
                "path": "Publication:Rudolf_06_IDM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/Rudolf_06_IDM-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/Rudolf_06_IDM-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Rudolf_06_IDM/",
        "__class": "Publication"
    },
    {
        "id": "Scheiblauer-2006-DA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Accelerated Rendering of Unprocessed Point Clouds",
        "date": "2006",
        "abstract": "In this diploma thesis a fast rendering algorithm for very large point clouds is described. A point cloud is simply a set of unconnected 3D coordinates in cartesian space. Each coordinate of such a set is interpreted as a point in space. A point cloud is the result of a sampling process, where either a laser scanner samples a real environment, or the data structure of some already existing graphical model is point sampled. During rendering it is attempted to reconstruct the sampled\r\nmodel from the given point cloud. The algorithm presented in this thesis builds on two new data structures, namely Memory Optimized Sequential Point Trees and Nested Octrees. It includes an out-of-core part, which means that it is also possible to render models that do not fit in the main memory of the computer, and\r\nan occlusion-culling part, which means that objects, which are hidden by objects closer to the viewer, do not have to be rendered. The algorithm is developed primarily for the fast rendering of point clouds, i.e., with a high frame rate, whereas the visual quality of the rendered point clouds is not in the focus of this work. The\r\nalgorithm does not need any additional attributes at a point besides the position.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Stephansdom from inside",
            "filetitle": "image2",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1600,
            "image_height": 1200,
            "name": "Scheiblauer-2006-DA-image2.png",
            "type": "image/png",
            "size": 2158549,
            "path": "Publication:Scheiblauer-2006-DA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image2.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image2:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            614
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "out-of-core rendering",
            "point-based rendering",
            "datastructure"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Stephansdom from outside",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "Scheiblauer-2006-DA-image.png",
                "type": "image/png",
                "size": 1384524,
                "path": "Publication:Scheiblauer-2006-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image:thumb{{size}}.png"
            },
            {
                "description": "Stephansdom from inside",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1600,
                "image_height": 1200,
                "name": "Scheiblauer-2006-DA-image2.png",
                "type": "image/png",
                "size": 2158549,
                "path": "Publication:Scheiblauer-2006-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-image2:thumb{{size}}.png"
            },
            {
                "description": "PDF of the diploma thesis",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Scheiblauer-2006-DA-thesis.pdf",
                "type": "application/pdf",
                "size": 28660213,
                "path": "Publication:Scheiblauer-2006-DA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/Scheiblauer-2006-DA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Scheiblauer-2006-DA/",
        "__class": "Publication"
    },
    {
        "id": "subtil-2006-disp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementation of Dispersion Rendering Capabilities in the Advanced Rendering Toolkit",
        "date": "2006",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 208,
            "image_height": 208,
            "name": "subtil-2006-disp-.jpg",
            "type": "image/jpeg",
            "size": 2778,
            "path": "Publication:subtil-2006-disp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            615
        ],
        "supervisor": [
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 208,
                "image_height": 208,
                "name": "subtil-2006-disp-.jpg",
                "type": "image/jpeg",
                "size": 2778,
                "path": "Publication:subtil-2006-disp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "subtil-2006-disp-PDF.pdf",
                "type": "application/pdf",
                "size": 2397506,
                "path": "Publication:subtil-2006-disp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/subtil-2006-disp-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/subtil-2006-disp/",
        "__class": "Publication"
    },
    {
        "id": "Mlejnek_2005_AOEPF",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application-Oriented Extensions of Profile Flags",
        "date": "2006",
        "abstract": "This paper discusses two applications of probing dense volumetric\r\ndata for MR orthopedics and dynamic contrast enhanced MRI\r\nmammography. In order not to reduce the context information and to\r\nextract the essential part of the data, we apply Profile Flags. A\r\nProfile Flag is a 3D glyph for probing and annotating the\r\nvolumetric data. The first application area deals with\r\nvisualization of T2 profiles for interactive inspection of knee\r\ncartilage and detection of lesions. In the second application, we\r\npresent the usability the Profile Flags for measuring of\r\ntime-signal profiles for a set of time-dependent MR volumes.\r\nSeveral extensions of the basic Profile Flag concept are described\r\nin detail and discussed. These extensions include selection of a\r\nset of profiles based on spatial as well as curve differences,\r\nautomatic positioning of the Profile Flags, and adaptation for\r\nprobing of time-varying volumetric data. Additionally, we include\r\nthe evaluation of the used methods by our medical partners.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 213,
            "preview_image_height": 231,
            "name": "Mlejnek_2005_AOEPF-paper.pdf",
            "type": "application/pdf",
            "size": 3305356,
            "path": "Publication:Mlejnek_2005_AOEPF",
            "preview_name": "Mlejnek_2005_AOEPF-paper:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 35752,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            179,
            572,
            459,
            573,
            574,
            166,
            575
        ],
        "booktitle": "Proceedings of Eurographics / IEEE VGTC Symposium on Visualization",
        "lecturer": [
            179
        ],
        "pages_from": "339",
        "pages_to": "346",
        "publisher": "IEEE CS",
        "research_areas": [],
        "keywords": [
            "applications of visualization",
            "visualization in medicine"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 213,
                "preview_image_height": 231,
                "name": "Mlejnek_2005_AOEPF-paper.pdf",
                "type": "application/pdf",
                "size": 3305356,
                "path": "Publication:Mlejnek_2005_AOEPF",
                "preview_name": "Mlejnek_2005_AOEPF-paper:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 35752,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/Mlejnek_2005_AOEPF-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2005_AOEPF/",
        "__class": "Publication"
    },
    {
        "id": "Mlejnek_2006_MVOA",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Medical Visualization for Orthopedic Applications",
        "date": "2006",
        "abstract": "This dissertation discusses visualization techniques of articular cartilage for\r\nboth quantitative and qualitative assessment. Articular cartilage is a very thin\r\nstructure covering the endings of human bones. Thus, even slight changes in its\r\nthickness and inner structure may indicate an occurrence or progress of degeneration.\r\nThe early detection of these factors is crucial for diagnosis and treatment of\r\ncartilage degeneration. Research to find treatments to stop or even reverse these\r\ndegenerative changes is well in progress.\r\nMagnetic resonance imaging is currently the best and most used non-invasive\r\ntechnique for acquisition of soft tissue structures like articular cartilage. In this\r\nwork we use two types of data: a high-resolution anatomical scan of the cartilage\r\nand a T2 map, which is computed from a set of sequences with varying parameters.\r\nWhile the thickness of the data can be precisely assessed fromthe anatomical scan,\r\nthe T2 map offers information on the inner structures of the cartilage.\r\nSince the femoral cartilage is a curved thin-wall structure with a relatively\r\nsmall extent in one direction, it is very difficult to estimate its thickness from a\r\nstack of slices or even from a three-dimensional reconstruction of its surface. We\r\ndiscuss inspection of the tissue by unfolding and, thus, representing the tissue as\r\na two-dimensional height field. Such a transformation of the object enables the\r\napplication of 2D geometrical operations in order to observe subtle details in the\r\nthickness of the tissue.\r\nNowadays scanners allow a quality assessment checking disruptions in the\r\npattern of the T2 map of the patellar cartilage. The T2 map illustrates the quality of\r\nthe cartilage and changes in the pattern of T2 map indicate defects before changes\r\nin the thickness itself occur. We propose the Profile Flags - an intuitive interface\r\nfor probing of the T2 maps by browsing the reconstructed surface of the cartilage.\r\nThe Profile Flag is positioned on the reconstructed surface of the tissue, and can\r\nbe moved along it. The Profile Flags can be applied to annotate local as well as\r\nglobal characteristics of the underlying data in a single still image. Furthermore,\r\nwe present a set of extensions to Profile Flags for selection, classification and\r\nautomatic positioning. Profile Flags can also be used to measure time-varying\r\ndynamic contrast enhanced magnetic resonance imaging data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "pdf",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "preview_image_width": 229,
            "preview_image_height": 299,
            "name": "Mlejnek_2006_MVOA-pdf.pdf",
            "type": "application/pdf",
            "size": 13563571,
            "path": "Publication:Mlejnek_2006_MVOA",
            "preview_name": "Mlejnek_2006_MVOA-pdf:preview.png",
            "preview_type": "image/jpeg",
            "preview_size": 54051,
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            179
        ],
        "date_end": "2006",
        "date_start": "2003",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "applications of visualization",
            "visualization in medicine"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 229,
                "preview_image_height": 299,
                "name": "Mlejnek_2006_MVOA-pdf.pdf",
                "type": "application/pdf",
                "size": 13563571,
                "path": "Publication:Mlejnek_2006_MVOA",
                "preview_name": "Mlejnek_2006_MVOA-pdf:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 54051,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/Mlejnek_2006_MVOA-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Mlejnek_2006_MVOA/",
        "__class": "Publication"
    },
    {
        "id": "Pajer-2006-tmcg",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modern Texture Mapping in Computer Graphics",
        "date": "2006",
        "abstract": "Textures have a variety of applications in computer graphics. While the original idea of texture mapping was just to cover the surface of an object with an image to avoid having to model every detail geometrically, in time a lot of other uses have been proposed. In this\r\npaper, the most important applications of texture mapping (except the original approach) will be explained.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            657
        ],
        "supervisor": [
            452
        ],
        "research_areas": [],
        "keywords": [
            "Rendering",
            "texture mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Pajer-2006-tmcg-paper.pdf",
                "type": "application/pdf",
                "size": 1531943,
                "path": "Publication:Pajer-2006-tmcg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Pajer-2006-tmcg/Pajer-2006-tmcg-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Pajer-2006-tmcg/Pajer-2006-tmcg-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Pajer-2006-tmcg/",
        "__class": "Publication"
    },
    {
        "id": "PURGATHOFER-2006-IHB",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Grafische Datenverarbeitung",
        "date": "2006",
        "abstract": "Die\ngrafische Datenverarbeitung\noder\nComputergrafik\numfaßt im weitesten Sinn alle\nMethoden und Techniken, bei denen mit dem Computer Bilder und Bildinformationen\nerstellt oder verarbeitet werden.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 197,
            "image_height": 287,
            "name": "PURGATHOFER-2006-IHB-.jpg",
            "type": "image/jpeg",
            "size": 8459,
            "path": "Publication:PURGATHOFER-2006-IHB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/PURGATHOFER-2006-IHB/PURGATHOFER-2006-IHB-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/PURGATHOFER-2006-IHB/PURGATHOFER-2006-IHB-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            193,
            192
        ],
        "address": "Munich",
        "booktitle": "Informatik Handbuch (4th Edition)",
        "editor": "Peter Rechenberg and Gustav Pomberger",
        "isbn": "3-446-40185-7",
        "pages_from": "857",
        "pages_to": "904",
        "publisher": "Carl Hanser Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 197,
                "image_height": 287,
                "name": "PURGATHOFER-2006-IHB-.jpg",
                "type": "image/jpeg",
                "size": 8459,
                "path": "Publication:PURGATHOFER-2006-IHB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/PURGATHOFER-2006-IHB/PURGATHOFER-2006-IHB-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/PURGATHOFER-2006-IHB/PURGATHOFER-2006-IHB-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/PURGATHOFER-2006-IHB/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2006-VRVis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Some Rendering Research Results",
        "date": "2006",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Purgathofer-2006-VRVis-.pdf",
            "type": "application/pdf",
            "size": 2453927,
            "path": "Publication:Purgathofer-2006-VRVis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Purgathofer-2006-VRVis/Purgathofer-2006-VRVis-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Purgathofer-2006-VRVis/Purgathofer-2006-VRVis-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2006-03-23",
        "event": "VRVis-Forum",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-2006-VRVis-.pdf",
                "type": "application/pdf",
                "size": 2453927,
                "path": "Publication:Purgathofer-2006-VRVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Purgathofer-2006-VRVis/Purgathofer-2006-VRVis-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2006/Purgathofer-2006-VRVis/Purgathofer-2006-VRVis-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2006/Purgathofer-2006-VRVis/",
        "__class": "Publication"
    },
    {
        "id": "xmastree2005",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-rayed X-mastree",
        "date": "2005-12-08 19:30",
        "abstract": "Further information can be found on: http://www.br-online.de/wissen-bildung/sendungen/faszinationwissen/magazin17.xml",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 745,
            "image_height": 572,
            "name": "xmastree2005-image.jpg",
            "type": "image/jpeg",
            "size": 108405,
            "path": "Publication:xmastree2005",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            171,
            231,
            161
        ],
        "channel": "Bayerisches Fernsehen",
        "duration": "6:49",
        "program": "Faszination Wissen",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "102.4 MB (DivX Codec)",
                "filetitle": "High Quality",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "xmastree2005-High Quality.avi",
                "type": "video/x-msvideo",
                "size": 104876032,
                "path": "Publication:xmastree2005",
                "preview_name": "xmastree2005-High Quality:preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-High Quality.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-High Quality:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-High Quality:video.mp4"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 745,
                "image_height": 572,
                "name": "xmastree2005-image.jpg",
                "type": "image/jpeg",
                "size": 108405,
                "path": "Publication:xmastree2005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-image:thumb{{size}}.png"
            },
            {
                "description": "15.3 MB (DivX Codec)",
                "filetitle": "Low Quality",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "xmastree2005-Low Quality.avi",
                "type": "video/x-msvideo",
                "size": 15742976,
                "path": "Publication:xmastree2005",
                "preview_name": "xmastree2005-Low Quality:preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-Low Quality.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-Low Quality:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/xmastree2005-Low Quality:video.mp4"
            }
        ],
        "projects_workgroups": [
            "xmas",
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmastree2005/",
        "__class": "Publication"
    },
    {
        "id": "kuehschelm-2005-adv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Image-based Transfer Function Design",
        "date": "2005-12",
        "abstract": "In volume visualization the de\fnition of transfer functions is a critical task\r\nfor the generation of informative images. We have the fact nowadays that\r\nthe complexity of the images increases. So the problems of designing proper\r\ntransfer functions are growing too. In this work an image-based approach\r\nis presented, which tries to simplify this task by providing multiple preview\r\nimages for di\u000berent function settings, so that the user can imagine more\r\neasily how the \fnal image will look like.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 386,
            "image_height": 499,
            "name": "kuehschelm-2005-adv-image.jpg",
            "type": "image/jpeg",
            "size": 47856,
            "path": "Publication:kuehschelm-2005-adv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            587
        ],
        "supervisor": [
            166,
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 386,
                "image_height": 499,
                "name": "kuehschelm-2005-adv-image.jpg",
                "type": "image/jpeg",
                "size": 47856,
                "path": "Publication:kuehschelm-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kuehschelm-2005-adv-PDF.pdf",
                "type": "application/pdf",
                "size": 1264706,
                "path": "Publication:kuehschelm-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/kuehschelm-2005-adv-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/kuehschelm-2005-adv/",
        "__class": "Publication"
    },
    {
        "id": "TOROMANOFF-2005-ASA",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Adaptable Real-time Soft Shadow Algorithm for Multi-lit Semi-static Scenes",
        "date": "2005-11",
        "abstract": "Casted shadows are a crucial topic in 3D computer graphics. They have a major influence\r\non the realism and on the quality of rendered pictures. Moreover, without them, the relative\r\ndepth of the objects in a scene can often not be understood. But rendering high-quality\r\nshadows in real time is a challenging problem.\r\nThis report deals with the work done during an internship at Navigram BV. This\r\ncompany provides online 3D interactive solutions to the furniture and real estate industries.\r\nTheir products are based on a rendering engine that does not support shadowing. The aim of\r\nthis internship was therefore to implement shadowing in a real-time engine and this report\r\nexplains how we did it.\r\nWe will first describe the context of this master thesis and discuss the specificities that\r\ninfluenced our work. Then we will make a short introduction to shadowing and define the\r\nvocabulary used. The chapter IV consists in an overview of state-of-the-art shadowing\r\nmethods. Using some of the presented algorithms, we implemented the first shadowing\r\nmethods. They will be discussed in the fourth part of this report. But these basic techniques\r\ndid not provide the aimed level of quality so we had to improve them later on. Finally, we\r\nwill present the final rendering pipeline that is able to render high quality shadows in real\r\ntime by combining the various algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            932
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TOROMANOFF-2005-ASA-thesis.pdf",
                "type": "application/pdf",
                "size": 2964841,
                "path": "Publication:TOROMANOFF-2005-ASA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TOROMANOFF-2005-ASA/TOROMANOFF-2005-ASA-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TOROMANOFF-2005-ASA/TOROMANOFF-2005-ASA-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TOROMANOFF-2005-ASA/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2005-AiD",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kalender der Steinzeit",
        "date": "2005-11",
        "abstract": "Die Zugänge zu vielen Kreisgrabenanlagen sind zu Auf- und Untergangspunkten der Sonne zu speziellen Terminen wie Sonnwenden, Tag-/Nachtgleiche und genau zwischen diesen Terminen liegenden Daten ausgerichtet. Eine große Zahl zeigt auch Ausrichtung zum Aufgangspunkt der Pleiaden und Untergangspunkt des Antares. Dieses Ereignis am Morgenhimmel konnte als Startsignal für das bäuerliche Jahr verwendet werden.\n\nHINWEIS: In diesem kleinen Artikel ist leider ein Fehler passiert: Das Südosttor von Steinabrunn ist nicht zur Wintersonnwende, sondern zum \"Zwischentermin\" Anfang November/Anfang Februar orientiert.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "issn": "0176-8522",
        "journal": "Archäologie in Deutschland",
        "number": "6",
        "pages_from": "27",
        "pages_to": "27",
        "volume": "2005",
        "research_areas": [],
        "keywords": [
            "astronomische Orientierung",
            "Kreisgrabenanlagen"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-AiD/",
        "__class": "Publication"
    },
    {
        "id": "coto-2005-MAC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "MammoExplorer: An Advanced CAD Application for Breast DCE-MRI",
        "date": "2005-11",
        "abstract": "Currently X-ray mammography is the most widely used method for early detection of breast cancer. However, the use of Dynamic Contrast Enhanced\r\nMRI (DCE-MRI) has gained wider attention, since it considerably improves tumor detection and classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, a CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. Our application uses Brushing and Linking, Two-level Volume Rendering, Importance-driven Volume Rendering, and False Color Maps. In addition, we present Enhancement\r\nScatterplots, a novel graphical representation of DCE-MRI data, novel segmentation approaches, and a new way to explore time-varying CE-MRI\r\ndata.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 298,
            "image_height": 253,
            "name": "coto-2005-MAC-image.jpg",
            "type": "image/jpeg",
            "size": 34554,
            "path": "Publication:coto-2005-MAC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            486,
            160,
            161,
            166,
            162,
            487
        ],
        "booktitle": "Proceedings of Vision, Modelling, and Visualization 2005",
        "date_from": "2005-11-16",
        "date_to": "2005-11-18",
        "editor": "G. Greiner, J. Hornegger, H. Niemann, M. Stamminger",
        "isbn": "3898380688",
        "lecturer": [
            486
        ],
        "location": "Erlangen, Germany",
        "pages_from": "91",
        "pages_to": "98",
        "research_areas": [],
        "keywords": [
            "CAD",
            "Breast cancer",
            "Contrast Enhanced MRI"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Demonstration",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 1280,
                "preview_image_height": 1024,
                "name": "coto-2005-MAC-Demonstration.avi",
                "type": "video/x-msvideo",
                "size": 50733574,
                "path": "Publication:coto-2005-MAC",
                "preview_name": "coto-2005-MAC-Demonstration:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 193123,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Demonstration.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Demonstration:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Demonstration:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 298,
                "image_height": 253,
                "name": "coto-2005-MAC-image.jpg",
                "type": "image/jpeg",
                "size": 34554,
                "path": "Publication:coto-2005-MAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "coto-2005-MAC-Paper.pdf",
                "type": "application/pdf",
                "size": 3649357,
                "path": "Publication:coto-2005-MAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/coto-2005-MAC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/coto-2005-MAC/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2005-VIS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "VolumeShop: An Interactive System for Direct Volume Illustration",
        "date": "2005-10",
        "abstract": "Illustrations play a major role in the education process. Whether\r\nused to teach a surgical or radiologic procedure, to illustrate normal\r\nor aberrant anatomy, or to explain the functioning of a technical\r\ndevice, illustration significantly impacts learning. Although\r\nmany specimens are readily available as volumetric data sets, particularly\r\nin medicine, illustrations are commonly produced manually\r\nas static images in a time-consuming process. Our goal is to\r\ncreate a fully dynamic three-dimensional illustration environment\r\nwhich directly operates on volume data. Single images have the\r\naesthetic appeal of traditional illustrations, but can be interactively\r\naltered and explored. In this paper we present methods to realize\r\nsuch a system which combines artistic visual styles and expressive\r\nvisualization techniques. We introduce a novel concept for direct\r\nmulti-object volume visualization which allows control of the appearance\r\nof inter-penetrating objects via two-dimensional transfer\r\nfunctions. Furthermore, a unifying approach to efficiently integrate\r\nmany non-photorealistic rendering models is presented. We discuss\r\nseveral illustrative concepts which can be realized by combining\r\ncutaways, ghosting, and selective deformation. Finally, we\r\nalso propose a simple interface to specify objects of interest through\r\nthree-dimensional volumetric painting. All presented methods are\r\nintegrated into VolumeShop, an interactive hardware-accelerated\r\napplication for direct volume illustration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 768,
            "name": "bruckner-2005-VIS-image.jpg",
            "type": "image/jpeg",
            "size": 72208,
            "path": "Publication:bruckner-2005-VIS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "booktitle": "Proceedings of IEEE Visualization 2005",
        "date_from": "2005-10-23",
        "date_to": "2005-10-28",
        "editor": "C. T. Silva, E. Gröller, H. Rushmeier",
        "isbn": "0780394623",
        "location": "Minneapolis, USA",
        "pages_from": "671",
        "pages_to": "678",
        "research_areas": [],
        "keywords": [
            "focus+context techniques",
            "illustrative visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Carp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-VIS-Carp.avi",
                "type": "video/x-msvideo",
                "size": 3704832,
                "path": "Publication:bruckner-2005-VIS",
                "preview_name": "bruckner-2005-VIS-Carp:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 7581,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Carp.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Carp:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Carp:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-VIS-Demo.avi",
                "type": "video/x-msvideo",
                "size": 45974528,
                "path": "Publication:bruckner-2005-VIS",
                "preview_name": "bruckner-2005-VIS-Demo:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 13651,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Demo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Demo:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 768,
                "name": "bruckner-2005-VIS-image.jpg",
                "type": "image/jpeg",
                "size": 72208,
                "path": "Publication:bruckner-2005-VIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2005-VIS-Paper.pdf",
                "type": "application/pdf",
                "size": 7898450,
                "path": "Publication:bruckner-2005-VIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Split",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-VIS-Split.avi",
                "type": "video/x-msvideo",
                "size": 3847168,
                "path": "Publication:bruckner-2005-VIS",
                "preview_name": "bruckner-2005-VIS-Split:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 13194,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Split.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Split:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Split:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Trachea",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-VIS-Trachea.avi",
                "type": "video/x-msvideo",
                "size": 3839488,
                "path": "Publication:bruckner-2005-VIS",
                "preview_name": "bruckner-2005-VIS-Trachea:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 13408,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Trachea.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Trachea:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/bruckner-2005-VIS-Trachea:video.mp4"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-VIS/",
        "__class": "Publication"
    },
    {
        "id": "Zotti-2005-vis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Sky Dome Visualisation for Identification of Astronomical Orientations",
        "date": "2005-10",
        "abstract": "  It has long been known that ancient temples were frequently oriented along the cardinal directions or to certain points along the horizon where Sun or Moon rise or set on special days of the year.  In the last decades, archaeologists have found evidence of even older building structures buried in the soil, with doorways that also   appear to have distinct orientations.\n\n  This paper presents a novel diagram combining archaeological maps with a folded-apart, flattened view of the whole sky, showing the local horizon and the daily paths of sun, moon and brighter stars. By use of this diagram, interesting groupings of astronomical   orientation directions, e.g. to certain sunrise and sunset points   could be identified, which were evidently used to mark certain days\n  of the year. Orientations to a few significant stars very likely   indicated the beginning of the agricultural year in the middle\n  neolithic period.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1115,
            "image_height": 748,
            "name": "Zotti-2005-vis-image.jpg",
            "type": "image/jpeg",
            "size": 61513,
            "path": "Publication:Zotti-2005-vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            166
        ],
        "booktitle": "Proceedings IEEE Symposium on Information Visualization",
        "date_from": "2005-10-23",
        "date_to": "2005-10-25",
        "editor": "John Stasko and Matt Ward",
        "isbn": "0-7803-9464-X",
        "location": "Minneapolis",
        "pages_from": "9",
        "pages_to": "16",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "data mining",
            "Astronomy",
            "Archaeology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Zotti-2005-vis-.pdf",
                "type": "application/pdf",
                "size": 5527986,
                "path": "Publication:Zotti-2005-vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1115,
                "image_height": 748,
                "name": "Zotti-2005-vis-image.jpg",
                "type": "image/jpeg",
                "size": 61513,
                "path": "Publication:Zotti-2005-vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/Zotti-2005-vis-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Zotti-2005-vis/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2005-int",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis end Exploration of Injection Systems Simulations",
        "date": "2005-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 477,
            "image_height": 382,
            "name": "matkovic-2005-int-image.jpg",
            "type": "image/jpeg",
            "size": 75838,
            "path": "Publication:matkovic-2005-int",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            579,
            580,
            756,
            581
        ],
        "booktitle": "IEEE Visualization 2005",
        "date_from": "2005-10-23",
        "date_to": "2005-10-28",
        "editor": "C. T. Silva, E. Gröller, H. Rushmeier",
        "isbn": "0780394623",
        "lecturer": [
            235
        ],
        "location": "Minneapolis, USA",
        "pages_from": "391",
        "pages_to": "398",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 477,
                "image_height": 382,
                "name": "matkovic-2005-int-image.jpg",
                "type": "image/jpeg",
                "size": 75838,
                "path": "Publication:matkovic-2005-int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2005-int-PDF.pdf",
                "type": "application/pdf",
                "size": 2951387,
                "path": "Publication:matkovic-2005-int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/matkovic-2005-int-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-int/",
        "__class": "Publication"
    },
    {
        "id": "Mlejnek_2004_PF",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Profile Flags: a Novel Metaphor for Probing of T2 Maps",
        "date": "2005-10",
        "abstract": "This paper describes a tool for the visualization of T2 maps of knee cartilage. Given the anatomical scan and the T2 map of the cartilage, we combine the information on the shape and the quality of the cartilage in a single image. The Profile Flag is an intuitive 3D glyph for probing and annotating of the underlying data. It comprises a bulletin board pin-like shape with a small flag on top of it. While moving the glyph along the reconstructed surface of an object, the curve data measured along the pin's needle and in its neighborhood are shown on the flag. The application area of the Profile Flag is manifold, enabling the visualization of profile data of dense but inhomogeneous objects. Furthermore, it extracts the essential part of the data without removing or even reducing the context information. By sticking Profile Flags into the investigated structure, one or more significant locations can be annotated by showing the local characteristics of the data at that locations. In this paper we are demonstrating the properties of the tool by visualizing T2 maps of knee cartilage.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 225,
            "name": "Mlejnek_2004_PF-image.jpg",
            "type": "image/jpeg",
            "size": 24793,
            "path": "Publication:Mlejnek_2004_PF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            179,
            572,
            459,
            573,
            574,
            575,
            166
        ],
        "booktitle": "Proceedings of IEEE Visualization 2005",
        "date_from": "2005-10-23",
        "date_to": "2005-10-28",
        "editor": "C. T. Silva, E. Gröller, H. Rushmeier",
        "isbn": "0780394623",
        "lecturer": [
            179
        ],
        "location": "Minneapolis, USA",
        "pages_from": "599",
        "pages_to": "606",
        "publisher": "IEEE CS",
        "research_areas": [],
        "keywords": [
            "applications of visualization",
            "visualization in medicine"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 225,
                "name": "Mlejnek_2004_PF-image.jpg",
                "type": "image/jpeg",
                "size": 24793,
                "path": "Publication:Mlejnek_2004_PF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mlejnek_2004_PF-paper.pdf",
                "type": "application/pdf",
                "size": 7257205,
                "path": "Publication:Mlejnek_2004_PF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "soundtrack",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mlejnek_2004_PF-soundtrack.mp3",
                "type": "audio/mpeg",
                "size": 2654002,
                "path": "Publication:Mlejnek_2004_PF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/Mlejnek_2004_PF-soundtrack.mp3",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Mlejnek_2004_PF/",
        "__class": "Publication"
    },
    {
        "id": "gracanin-2005-soft",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Software Visualization",
        "date": "2005-09",
        "abstract": "The field of software visualization (SV) investigates approaches and techniques for static and dynamic graphical representations of algorithms, programs (code), and processed data. SV is concerned primarily with the analysis of programs and their development. The goal is to improve our understanding of inherently invisible and intangible software, particularly when dealing with large information spaces that characterize domains like software maintenance, reverse engineering, and collaborative development. The main challenge is to find effective mappings from different software aspects to graphical representations using visual metaphors. This paper provides an overview of the SV research, describes current research directions, and includes an extensive list of recommended readings.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            581,
            235,
            584
        ],
        "issn": "1614-5046",
        "journal": "Innovations in Systems and Software Engineering, A NASA Journal",
        "number": "2",
        "pages_from": "221",
        "pages_to": "230",
        "volume": "1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gracanin-2005-soft-PDF.pdf",
                "type": "application/pdf",
                "size": 139827,
                "path": "Publication:gracanin-2005-soft",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/gracanin-2005-soft/gracanin-2005-soft-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/gracanin-2005-soft/gracanin-2005-soft-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/gracanin-2005-soft/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-07",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Focus+Context Visualization of Features and Topological Structures",
        "date": "2005-09",
        "abstract": "Focus+Context Visualization has been widely used in Information Visualization\r\nto emphasize important structures while at the same time providing an overview on the surrounding data. This principle can also be used in scientific visualization to illustrate small but important features or topological\r\nstructures. In many visualizations topological structures are only displayed by themselves. They usually provide a rather sparse and highly abstract representation\r\nof the most important data characteristics. Focus+Context Visualization allows to also embed these sparse representations within the given\r\noriginal but dense data. How to avoid visual overload in this situation will\r\nbe one topic of this paper. Our previous work in the area of focus+context\r\nvisualization of features and topological structures will be shortly discussed.\r\nThese approaches include: importance-driven volume rendering, multi-volume rendering, feature emphasis in direct volume illustration, the VesselGlyph as a Focus & Context Visualization in CT-Angiography, streamarrows, visualization\r\nof Poincaré Sections, real-time techniques for 3D flow visualization.",
        "authors_et_al": false,
        "substitute": "viola-2007-ort",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-07-Report.pdf",
                "type": "application/pdf",
                "size": 9699320,
                "path": "Publication:TR-186-2-05-07",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/TR-186-2-05-07-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/TR-186-2-05-07-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-08",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "N-dimensional Data-Dependent Reconstruction Using Topological Changes",
        "date": "2005-09",
        "abstract": "We introduce a new concept for a geometrically based feature preserving reconstruction technique of n-dimensional scattered data. Our goal is to generate an n-dimensional triangulation, which preserves the high frequency regions via local topology changes. It is the generalization of a 2D reconstruction approach based on data-dependent triangulation and Lawson‘s optimization procedure. The definition of the mathematic optimum of the reconstruction is given. We discuss an original cost function and a generalization of known functions for\r\nthe n-dimensional case.",
        "authors_et_al": false,
        "substitute": "toth-2007-ndd",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            582,
            171,
            583,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-08-Report.pdf",
                "type": "application/pdf",
                "size": 1996134,
                "path": "Publication:TR-186-2-05-08",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/TR-186-2-05-08-Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/TR-186-2-05-08-Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-08/",
        "__class": "Publication"
    },
    {
        "id": "zambal-2005-3dact",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Active Appearance Models for Segmentation of Cardiac MRI Data",
        "date": "2005-08",
        "abstract": "Segmentation of volumetric medical data is extremely time-consuming if done manually.\r\nThis is the reason why currently great efforts are being made to develop algorithms\r\nfor automatic segmentation. Model based techniques represent one very\r\npromising approach. A model representing the object of interest is matched with\r\nunknown data. During the matching process the model’s shape and additional properties\r\nare varied in order to iteratively improve the match. As soon as the model fits\r\nsufficiently well to the data, the properties of the model can be mapped to the data\r\nand so a segmentation is derived.\r\nRecently the segmentation of cardiac magnetic resonance images (MRI) has\r\nbeen of great interest. In this work we outline some of the methods proposed to\r\nsolve the problem of cardiac segmentation. We review Active Appearance Models\r\n(AAMs) which are a special type of deformable models. AAMs rule changes in\r\nshape and texture using statistical information obtained from a data base of representative\r\nexamples. We describe the theory behind AAMs with special focus on 3D\r\nAAMs. These are applicable to volumetric medical image data. Our implementation\r\nof 3D AAMs is outlined and the results obtained for 3D segmentation of the\r\nleft cardiac ventricle are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 359,
            "image_height": 319,
            "name": "zambal-2005-3dact-image.jpg",
            "type": "image/jpeg",
            "size": 42227,
            "path": "Publication:zambal-2005-3dact",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            498
        ],
        "supervisor": [
            187,
            231,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 359,
                "image_height": 319,
                "name": "zambal-2005-3dact-image.jpg",
                "type": "image/jpeg",
                "size": 42227,
                "path": "Publication:zambal-2005-3dact",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zambal-2005-3dact-PDF.pdf",
                "type": "application/pdf",
                "size": 11379548,
                "path": "Publication:zambal-2005-3dact",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/zambal-2005-3dact-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zambal-2005-3dact/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-05-ISTAR",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-based Representations for Accelerated Rendering of Complex Scenes",
        "date": "2005-08",
        "abstract": "This paper gives an overview of image-based representations commonly used for reducing the geometric complexity of a scene description in order to accelerate the rendering process. Several different types of representations and ways for using them have been presented, which are classified and discussed here. Furthermore, the overview includes techniques for accelerating the rendering of static scenes or scenes with animations and/or dynamic lighting\neffects. The advantages and drawbacks of the different approaches are illuminated, and unsolved problems and roads for further research are shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 808,
            "image_height": 609,
            "name": "jeschke-05-ISTAR-image.jpg",
            "type": "image/jpeg",
            "size": 126171,
            "path": "Publication:jeschke-05-ISTAR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193,
            190
        ],
        "booktitle": "EUROGRAPHICS 2005 State of the Art Reports",
        "date_from": "2005-08-29",
        "date_to": "2005-09-02",
        "editor": "Y. Chrysanthou and M. Magnor",
        "location": "Dublin, Ireland",
        "organization": "EUROGRAPHICS",
        "pages_from": "1",
        "pages_to": "20",
        "publisher": "The Eurographics Association and The Image Synthesis Group",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Impostors",
            "Display Algorithms",
            "Three Dimensional Graphics and Realism",
            "Color, Shading, Shadowing and Texture"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 808,
                "image_height": 609,
                "name": "jeschke-05-ISTAR-image.jpg",
                "type": "image/jpeg",
                "size": 126171,
                "path": "Publication:jeschke-05-ISTAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-05-ISTAR-Paper.pdf",
                "type": "application/pdf",
                "size": 4805329,
                "path": "Publication:jeschke-05-ISTAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/jeschke-05-ISTAR-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ISTAR/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2005-vid",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "VolumeShop: Interactive Direct Volume Illustration",
        "date": "2005-08",
        "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. Many specimen are readily available as volumetric data sets, particular in medicine. Illustrations, however, are commonly produced manually as static images in a time-consuming process. Our goal is to create a fully dynamic three-dimensional illustration environment which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. We present methods to realize such a system which combines artistic visual styles and expressive visualization techniques. Our implementation exploits the latest generation of GPUs and, thus, is capable of handling commonly sized data sets at interactive frame rates. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 776,
            "image_height": 848,
            "name": "bruckner-2005-vid-image.jpg",
            "type": "image/jpeg",
            "size": 92873,
            "path": "Publication:bruckner-2005-vid",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            171,
            166
        ],
        "booktitle": "ACM Siggraph 2005 DVD Proceedings (Technical Sketch)",
        "date_from": "2005-07-31",
        "date_to": "2005-08-04",
        "lecturer": [
            161
        ],
        "location": "Los Angeles, USA",
        "research_areas": [],
        "keywords": [
            "focus+context techniques",
            "volume rendering",
            "illustrative techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 776,
                "image_height": 848,
                "name": "bruckner-2005-vid-image.jpg",
                "type": "image/jpeg",
                "size": 92873,
                "path": "Publication:bruckner-2005-vid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Sketch",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2005-vid-Sketch.pdf",
                "type": "application/pdf",
                "size": 512165,
                "path": "Publication:bruckner-2005-vid",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/bruckner-2005-vid-Sketch:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-vid/",
        "__class": "Publication"
    },
    {
        "id": "S05",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shadow Mapping of Large Environments",
        "date": "2005-08",
        "abstract": "This thesis is about shadow generation in real-time and its problems. Its focus is\r\non shadow mapping, a real-time technique to render high quality shadows. A lot\r\nof literature is available concerning shadow mapping and the problems associated\r\nwith it. But most of this literature concerns itself only with certain problematic\r\nparts of shadow mapping, but not with all the problems of shadow mapping together.\r\nIn this thesis we will give a minute report of all these problems and why\r\nand how they occur. We will discuss the major methods to cure them and identify\r\nand adopt the methods so that they can be used together for demanding real-time\r\napplications to avoid all of the shadow mapping problems.\r\nAll things considered this thesis should provide an insight into the current\r\nstate of research in the field of real-time shadow generation with shadow maps,\r\nand should expand this overview by giving the reader all the methods at hand to\r\ncure the problems of shadow mapping and use it in a complex real-time scenario\r\nwithout visible artefacts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "PNG",
            "filetitle": "Teaser",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "S05-Teaser.png",
            "type": "image/png",
            "size": 650340,
            "path": "Publication:S05",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Teaser.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Teaser:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "shadow mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "PDF",
                "filetitle": "Diploma Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "S05-Diploma Thesis.pdf",
                "type": "application/pdf",
                "size": 19877381,
                "path": "Publication:S05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Diploma Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Diploma Thesis:thumb{{size}}.png"
            },
            {
                "description": "PNG",
                "filetitle": "Teaser",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "S05-Teaser.png",
                "type": "image/png",
                "size": 650340,
                "path": "Publication:S05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Teaser.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/S05-Teaser:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/S05/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2005-multi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Visual Analysis of Multi-Parameter Families of Function Graphs",
        "date": "2005-07",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 368,
            "image_height": 391,
            "name": "matkovic-2005-multi-image.jpg",
            "type": "image/jpeg",
            "size": 33648,
            "path": "Publication:matkovic-2005-multi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            580,
            756,
            585,
            176
        ],
        "booktitle": "Proceedings of 3rd International Conference on Coordinated & Multiple Views in Exploratory Visualization 2005",
        "date_to": "2005-07-05",
        "lecturer": [
            756
        ],
        "location": "London, UK",
        "publisher": "IEEE Computer Society",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 368,
                "image_height": 391,
                "name": "matkovic-2005-multi-image.jpg",
                "type": "image/jpeg",
                "size": 33648,
                "path": "Publication:matkovic-2005-multi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2005-multi-PDF.pdf",
                "type": "application/pdf",
                "size": 2928600,
                "path": "Publication:matkovic-2005-multi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/matkovic-2005-multi-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-multi/",
        "__class": "Publication"
    },
    {
        "id": "neubauer-2005-vir",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Endoscopy for Preoperative Planning and Training of Endonasal Transsphenoidal Pituitary Surgery",
        "date": "2005-06",
        "abstract": "Virtual endoscopy is the navigation of a virtual camera through anatomy, computationally\r\nreconstructed from radiological data. Virtual endoscopy mimics physical minimally invasive\r\nsurgical activity and is used for diagnosis (e.g., the detection of colon polyps), planning\r\nof endoscopic interventions, postoperative assessment of surgical success and training for\r\ninexperienced endoscopists.\r\nThis thesis introduces STEPS, a virtual endoscopy system designed as a planning and training\r\ntool for endonasal transsphenoidal pituitary surgery, a method used to minimally invasively\r\nremove tumors of the pituitary gland. A rigid endoscope is inserted into the nose and\r\nadvanced through intracranial cavities towards the bony wall covering the pituitary gland.\r\nThis bone is then opened and the tumor is removed.\r\nSTEPS reconstructs the boundaries of the investigated cavities primarily using iso-surfacing\r\nin original CT data. Presegmented objects of interest can be added to the scene and displayed\r\nbehind the semi-transparent isosurface. These objects (e.g., the tumor, the pituitary\r\ngland and important blood vessels) provide an augmented picture of patient anatomy to\r\nguide the surgeon, aid in planning the endoscopic approach, and help the user find an ideal\r\nsite for actual surgical activity. Visual information can be further enhanced by display of\r\nrigid structures beyond the isosurface. The user can freely decide upon colors and lighting\r\nconditions.\r\nAll rendering techniques applied by STEPS are completely CPU-based, ensuring a high\r\namount of flexibility and hardware-independence. Nevertheless, rendering is efficient resulting\r\nin smooth interaction.\r\nSTEPS allows free navigation through the nasal and paranasal anatomy, but can also be used\r\nto simulate the movement parameters of the rigid endoscopes. This includes simulation of\r\nsurgical instruments and haptic feedback. Furthermore, STEPS allows the simulation of\r\nangled endoscopes and the simulation of barrel distortion as exhibited by real endoscope\r\noptics.\r\nThis thesis gives an overview about existing techniques and applications of virtual endoscopy,\r\nintroduces the field of application, and, in detail, describes STEPS, the required\r\npreprocessing, the rendering techniques and the user interface.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 838,
            "image_height": 296,
            "name": "neubauer-2005-vir-image.jpg",
            "type": "image/jpeg",
            "size": 41613,
            "path": "Publication:neubauer-2005-vir",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            497
        ],
        "date_end": "2005-06",
        "date_start": "2003-04",
        "supervisor": [
            166,
            231
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 838,
                "image_height": 296,
                "name": "neubauer-2005-vir-image.jpg",
                "type": "image/jpeg",
                "size": 41613,
                "path": "Publication:neubauer-2005-vir",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "neubauer-2005-vir-pdf.pdf",
                "type": "application/pdf",
                "size": 171063659,
                "path": "Publication:neubauer-2005-vir",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/neubauer-2005-vir-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/",
        "__class": "Publication"
    },
    {
        "id": "phd-viola",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Expressive Visualization",
        "date": "2005-06",
        "abstract": "In this thesis several expressive visualization techniques for volumetric\r\ndata are presented. The key idea is to classify the underlying data according\r\nto its prominence on the resulting visualization by importance value.\r\nThe importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\r\n\r\nFeatures within the volumetric data are classified according to a new dimension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of\r\nsparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step\r\nto traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\r\n\r\nThe applicability of importance-driven visualization is demonstrated on several examples from medical diagnostics scenarios, flow visualization,\r\nand interactive illustrative visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1795,
            "image_height": 1512,
            "name": "phd-viola-image.jpg",
            "type": "image/jpeg",
            "size": 112390,
            "path": "Publication:phd-viola",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_end": "2005-06",
        "date_start": "2002-05",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Defense Presentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "phd-viola-Defense Presentation.pdf",
                "type": "application/pdf",
                "size": 1259949,
                "path": "Publication:phd-viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Defense Presentation:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Dissertation (print version)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "phd-viola-Dissertation (print version).pdf",
                "type": "application/pdf",
                "size": 61930541,
                "path": "Publication:phd-viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-Dissertation (print version):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1795,
                "image_height": 1512,
                "name": "phd-viola-image.jpg",
                "type": "image/jpeg",
                "size": 112390,
                "path": "Publication:phd-viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf (screen version)",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "phd-viola-pdf (screen version).pdf",
                "type": "application/pdf",
                "size": 9650433,
                "path": "Publication:phd-viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/phd-viola-pdf (screen version):thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/phd-viola/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-05",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Color Harmony based on Coloroid System",
        "date": "2005-06",
        "abstract": "The paper presents experimentally based rules and methods creating harmonic color sets. Firstly, dichromatic rules will be presented which concern color harmony relationships of only two hues. For an arbitrarily given hue pair, we define the textit{just harmonic} saturation values, resulting in just harmonic color pairs. These values express the fuzzy border between harmony and disharmony regions by a single scalar, most appropriately. \n\nSecondly, the value of harmony will be defined corresponding to the textit{contrast of lightness}, i.e. the difference of perceptual lightness values. \nThirdly, we formulate the harmony value of the textit{saturation contrast}, depending on hue and lightness. Results of these investigations form a basis for a unified, \ncoherent dichromatic harmony formula as well as for analysis of polychromatic color harmony. \n\nIntroduced color harmony rules are based on Coloroid, which is one of the $5-6$ main color-order systems and furthermore it is an textit{aesthetically uniform} continuous color space. \nColoroid has simple closed forward and backward transformation formulas with the color space of $CIE~XYZ$. It relies on a huge number of observations and experiments, and it is a very suitable tool of color dynamics for describing aesthetical relationships. \nIt had supported also numerous color plans of great architectural projects \nhaving been realized in the practice. \nThe experimental data and information to be retrieved from them are \njust partly processed and published so far. Our article utilizes a 'slice' of this database, \ntogether with additional complementary observations. \nThis paper is an issue of a planned series of articles, dealing with rules and coherences of color harmony based on the Coloroid system. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 443,
            "image_height": 458,
            "name": "TR-186-2-05-05-image.jpg",
            "type": "image/jpeg",
            "size": 53934,
            "path": "Publication:TR-186-2-05-05",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            496,
            232
        ],
        "number": "TR-186-2-05-05",
        "research_areas": [],
        "keywords": [
            "Color Dynamics",
            "Computational Aesthetics",
            "Coloroid",
            "Color Order System",
            "Color Harmony",
            "Environmental Color Design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Computational Color Harmony",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 600,
                "preview_image_height": 600,
                "name": "TR-186-2-05-05-Computational Color Harmony.pdf",
                "type": "application/pdf",
                "size": 7263941,
                "path": "Publication:TR-186-2-05-05",
                "preview_name": "TR-186-2-05-05-Computational Color Harmony:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 227752,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-Computational Color Harmony.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-Computational Color Harmony:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 443,
                "image_height": 458,
                "name": "TR-186-2-05-05-image.jpg",
                "type": "image/jpeg",
                "size": 53934,
                "path": "Publication:TR-186-2-05-05",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/TR-186-2-05-05-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-05/",
        "__class": "Publication"
    },
    {
        "id": "Artner-2005-Hig",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Volume Rendering with Resampling in the Frequency Domain",
        "date": "2005-06",
        "abstract": "This work introduces a volume rendering technique that is conceptually based on the shear-warp factorization.\r\nWe propose to perform the shear transformation entirely in the frequency domain. Unlike the standard shear-warp\r\nalgorithm, we allow for arbitrary sampling distances along the viewing rays, independent of the view direction.\r\nThe accurate scaling of the volume slices is achieved by using the zero padding interpolation property. Finally, a high quality gradient estimation scheme is presented which uses the derivative theorem of the Fourier transform.\r\nExperimental results have shown that the presented method outperforms established algorithms in the quality of\r\nthe produced images. If the data is sampled above the Nyquist rate the presented method is capable of a perfect\r\nreconstruction of the original function.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 511,
            "image_height": 511,
            "name": "Artner-2005-Hig-image.jpg",
            "type": "image/jpeg",
            "size": 49358,
            "path": "Publication:Artner-2005-Hig",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            456,
            196,
            171,
            166
        ],
        "booktitle": "Proceedings of EuroVis",
        "date_from": "2005-06-01",
        "date_to": "2005-06-03",
        "isbn": "3-905673-19-3",
        "lecturer": [
            456
        ],
        "location": "Leeds, United Kingdom",
        "pages_from": "85",
        "pages_to": "92",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 511,
                "image_height": 511,
                "name": "Artner-2005-Hig-image.jpg",
                "type": "image/jpeg",
                "size": 49358,
                "path": "Publication:Artner-2005-Hig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artner-2005-Hig-Paper.pdf",
                "type": "application/pdf",
                "size": 471113,
                "path": "Publication:Artner-2005-Hig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/Artner-2005-Hig-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Hig/",
        "__class": "Publication"
    },
    {
        "id": "bittner-2005-egsr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Exact From-Region Visibility in Urban Scenes",
        "date": "2005-06",
        "abstract": "We present a fast exact from-region visibility algorithm for 2.5D\nurban scenes. The algorithm uses a hierarchical subdivision of\nline-space for identifying visibility interactions in a 2D\nfootprint of the scene. Visibility in the remaining vertical\ndimension is resolved by testing for the existence of lines\nstabbing sequences of virtual portals. Our results show that exact\nanalytic from-region visibility in urban scenes can be computed at\ntimes comparable or even superior to recent conservative methods. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1179,
            "image_height": 962,
            "name": "bittner-2005-egsr-image.jpg",
            "type": "image/jpeg",
            "size": 44941,
            "path": "Publication:bittner-2005-egsr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            194,
            193
        ],
        "booktitle": "Rendering  Techniques 2005 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2005-06-29",
        "date_to": "2005-07-01",
        "editor": "Kavita Bala and Philip Dutré",
        "isbn": "3-905673-23-1",
        "lecturer": [
            198
        ],
        "location": "Konstanz, Germany",
        "organization": "Eurographics",
        "pages_from": "223",
        "pages_to": "230",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "real-time rendering",
            "visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1179,
                "image_height": 962,
                "name": "bittner-2005-egsr-image.jpg",
                "type": "image/jpeg",
                "size": 44941,
                "path": "Publication:bittner-2005-egsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bittner-2005-egsr-Paper.pdf",
                "type": "application/pdf",
                "size": 3449376,
                "path": "Publication:bittner-2005-egsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/bittner-2005-egsr-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz",
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bittner-2005-egsr/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2005-ICV",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Context-Preserving Volume Rendering",
        "date": "2005-05",
        "abstract": "In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving clear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures, while clipping techniques completely remove possibly important context information. In this paper we present a new model for volume rendering, inspired by techniques from illustration that provides a means of interactively inspecting the interior of a volumetric data set in a feature-driven way which retains context information. The context-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to the eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It is controlled by two user-specified parameters. This new method represents an alternative to conventional clipping techniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context information. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Context-Preserving Volume Rendering of a human hand",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2048,
            "image_height": 2048,
            "name": "bruckner-2005-ICV-image.jpg",
            "type": "image/jpeg",
            "size": 346710,
            "path": "Publication:bruckner-2005-ICV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            160,
            162,
            166
        ],
        "booktitle": "Proceedings of EuroVis 2005",
        "lecturer": [
            161
        ],
        "pages_from": "69",
        "pages_to": "76",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [
            "non-photorealistic techniques",
            "focus+context techniques",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Context-Preserving Volume Rendering of a human hand",
                "filetitle": "Hand - DivX",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Hand - DivX.avi",
                "type": "video/x-msvideo",
                "size": 2492416,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Hand - DivX:preview.png",
                "preview_type": "image/png",
                "preview_size": 16073,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - DivX:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of a human hand",
                "filetitle": "Hand - Indeo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Hand - Indeo.avi",
                "type": "video/x-msvideo",
                "size": 44419072,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Hand - Indeo:preview.png",
                "preview_type": "image/png",
                "preview_size": 16059,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Hand - Indeo:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of a human head",
                "filetitle": "Head - DivX",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Head - DivX.avi",
                "type": "video/x-msvideo",
                "size": 3397120,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Head - DivX:preview.png",
                "preview_type": "image/png",
                "preview_size": 11598,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - DivX:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of a human head",
                "filetitle": "Head - Indeo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Head - Indeo.avi",
                "type": "video/x-msvideo",
                "size": 33721856,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Head - Indeo:preview.png",
                "preview_type": "image/png",
                "preview_size": 11647,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Head - Indeo:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of a human hand",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 2048,
                "name": "bruckner-2005-ICV-image.jpg",
                "type": "image/jpeg",
                "size": 346710,
                "path": "Publication:bruckner-2005-ICV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-image:thumb{{size}}.png"
            },
            {
                "description": "Paper",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2005-ICV-Paper.pdf",
                "type": "application/pdf",
                "size": 4121772,
                "path": "Publication:bruckner-2005-ICV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Paper:thumb{{size}}.png"
            },
            {
                "description": "powerpoint slides of EuroVis 2005 presentation",
                "filetitle": "Slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2005-ICV-Slides.zip",
                "type": "application/x-zip",
                "size": 56685751,
                "path": "Publication:bruckner-2005-ICV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Slides.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "comparison of Context-Preserving Volume Rendering with other techniques",
                "filetitle": "Tooth - DivX",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Tooth - DivX.avi",
                "type": "video/x-msvideo",
                "size": 892928,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Tooth - DivX:preview.png",
                "preview_type": "image/png",
                "preview_size": 13861,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - DivX:video.mp4"
            },
            {
                "description": "comparison of Context-Preserving Volume Rendering with other techniques",
                "filetitle": "Tooth - Indeo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Tooth - Indeo.avi",
                "type": "video/x-msvideo",
                "size": 17240576,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Tooth - Indeo:preview.png",
                "preview_type": "image/png",
                "preview_size": 13603,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Tooth - Indeo:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of the Visible Human dataset",
                "filetitle": "Visible Human - DivX",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Visible Human - DivX.avi",
                "type": "video/x-msvideo",
                "size": 3676160,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Visible Human - DivX:preview.png",
                "preview_type": "image/png",
                "preview_size": 17703,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - DivX:video.mp4"
            },
            {
                "description": "Context-Preserving Volume Rendering of the Visible Human dataset",
                "filetitle": "Visible Human - Indeo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "bruckner-2005-ICV-Visible Human - Indeo.avi",
                "type": "video/x-msvideo",
                "size": 67943936,
                "path": "Publication:bruckner-2005-ICV",
                "preview_name": "bruckner-2005-ICV-Visible Human - Indeo:preview.png",
                "preview_type": "image/png",
                "preview_size": 17814,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/bruckner-2005-ICV-Visible Human - Indeo:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ICV/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2005-glo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global Contrast Factor-a New Approach to Image Contrast",
        "date": "2005-05",
        "abstract": "Contrast in image processing is usually de\u0002ned as a ratio between the darkest and the brightest spots of an image.\r\nIn this paper we introduce a different contrast de\u0002nition. The newly introduced Global Contrast Factor (GCF)\r\ncorresponds closer to the human perception of contrast. GCF uses contrasts at various resolution levels in order\r\nto compute overall contrast. Experiments were conducted in order to \u0002nd weight factors needed to calculate GCF.\r\nGCF measures richness of detail as perceived by a human observer, and as such can be used in various application\r\nareas like rendering, tone mapping, volume visualization, and lighting design",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 210,
            "image_height": 327,
            "name": "matkovic-2005-glo-image.jpg",
            "type": "image/jpeg",
            "size": 40112,
            "path": "Publication:matkovic-2005-glo",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            177,
            232,
            26,
            190
        ],
        "booktitle": "Computational Aesthetics in Graphics, Visualization and Imaging 2005",
        "date_from": "2005-05-18",
        "date_to": "2005-05-20",
        "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
        "isbn": "3905673274",
        "lecturer": [
            190
        ],
        "location": "Girona, Spain",
        "pages_from": "159",
        "pages_to": "168",
        "publisher": "Eurographics Association",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 210,
                "image_height": 327,
                "name": "matkovic-2005-glo-image.jpg",
                "type": "image/jpeg",
                "size": 40112,
                "path": "Publication:matkovic-2005-glo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2005-glo-PDF.pdf",
                "type": "application/pdf",
                "size": 1339337,
                "path": "Publication:matkovic-2005-glo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/",
        "__class": "Publication"
    },
    {
        "id": "kastowski-2005-kat",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Drehscheibe des Sternenhimmels? Die Kreisgrabenanlage Immendorf",
        "date": "2005-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            577,
            578,
            480,
            222
        ],
        "address": "Horn, Wien",
        "booktitle": "Zeitreise Heldenberg: Geheimnisvolle Kreisgräben --- Niederösterreichische Landesausstellung 2005",
        "editor": "Falko Daim and Wolfgang Neubauer",
        "isbn": "3-85460-226-X",
        "number": "459",
        "pages_from": "80",
        "pages_to": "82",
        "publisher": "Verlag Berger",
        "series": "Katalog des NÖ Landesmuseums, Neue Folge",
        "research_areas": [],
        "keywords": [
            "Kreisgrabenanlagen",
            "Archäoastronomie",
            "astronomische Orientierung"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/kastowski-2005-kat/",
        "__class": "Publication"
    },
    {
        "id": "lneumann-2005-cch",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Color Harmony based on Coloroid System",
        "date": "2005-05",
        "abstract": "This paper presents experimentally based rules and methods for the creation of harmonic color sets. First, dichromatic\r\nrules are presented which concern the harmony relationships of two hues. For an arbitrarily given hue pair,\r\nwe de\u0002ne the just harmonic saturation values, resulting in minimally harmonic color pairs. These values express\r\nthe fuzzy border between harmony and disharmony regions using a single scalar.\r\nSecond, the value of harmony is de\u0002ned corresponding to the contrast of lightness, i.e. the difference of perceptual\r\nlightness values. Third, we formulate the harmony value of the saturation contrast, depending on hue and lightness.\r\nThe results of these investigations form a basis for a uni\u0002ed, coherent dichromatic harmony formula as well as for\r\nanalysis of polychromatic color harmony.\r\nIntroduced color harmony rules are based on Coloroid, which is one of the 5",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 177,
            "image_height": 169,
            "name": "lneumann-2005-cch-image.jpg",
            "type": "image/jpeg",
            "size": 32185,
            "path": "Publication:lneumann-2005-cch",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            496,
            232
        ],
        "booktitle": "Computational Aesthetics in Graphics, Visualization and Imaging 2005",
        "date_from": "2005-05-18",
        "date_to": "2005-05-20",
        "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
        "isbn": "3905673274",
        "lecturer": [
            177
        ],
        "location": "Girona, Spain",
        "pages_from": "231",
        "pages_to": "240",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 177,
                "image_height": 169,
                "name": "lneumann-2005-cch-image.jpg",
                "type": "image/jpeg",
                "size": 32185,
                "path": "Publication:lneumann-2005-cch",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lneumann-2005-cch-PDF.pdf",
                "type": "application/pdf",
                "size": 14403655,
                "path": "Publication:lneumann-2005-cch",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/lneumann-2005-cch-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cch/",
        "__class": "Publication"
    },
    {
        "id": "lneumann-2005-cst",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Style Transfer Techniques using Hue, Lightness and Saturation Histogram Matching",
        "date": "2005-05",
        "abstract": "We present new methods which transfer the color style of a source image into an arbitrary given target image\r\nhaving a different 3D color distribution. The color transfer has a high importance ensuring a wide area of applications\r\nfrom artistic transformation of the color atmosphere of images until different scientific visualizations using\r\nspecial gamut mappings.\r\nOur technique use a permissive, or optionally strict, 3D histogram matching, similarly to the sampling of multivariable\r\nfunctions applying a sequential chain of conditional probability density functions. We work by order\r\nof hue, hue dependent lightness and from both dependent saturation histograms of source and target images, respectively.\r\nWe apply different histogram transformations, like smoothing or contrast limitation, in order to avoid\r\nsome unexpected high gradients and other artifacts. Furthermore, we use dominance suppression optionally, by\r\napplying sub-linear functions for the histograms in order to get well balanced color distributions, or an overall\r\nappearance reflecting the memory color distribution better. Forward and inverse operations on the corresponding\r\ncumulative histograms ensure a continuous mapping of perceptual attributes correlating to limited derivatives.\r\nSampling an appropriate fraction of the pixels and using perceptually accurate and continuous histograms with\r\nminimal size as well as other gems make this method robust and fast.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 198,
            "image_height": 197,
            "name": "lneumann-2005-cst-image.jpg",
            "type": "image/jpeg",
            "size": 37923,
            "path": "Publication:lneumann-2005-cst",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            232
        ],
        "booktitle": "Computational Aesthetics in Graphics, Visualization and Imaging 2005",
        "date_from": "2005-05-18",
        "date_to": "2005-05-20",
        "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
        "isbn": "3905673274",
        "lecturer": [
            177
        ],
        "location": "Girona, Spain",
        "pages_from": "111",
        "pages_to": "122",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 198,
                "image_height": 197,
                "name": "lneumann-2005-cst-image.jpg",
                "type": "image/jpeg",
                "size": 37923,
                "path": "Publication:lneumann-2005-cst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "lneumann-2005-cst-PDF.pdf",
                "type": "application/pdf",
                "size": 29728853,
                "path": "Publication:lneumann-2005-cst",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/lneumann-2005-cst-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/lneumann-2005-cst/",
        "__class": "Publication"
    },
    {
        "id": "Viola-05-Smart",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Visibility in Visualization",
        "date": "2005-05",
        "abstract": "In this paper we discuss expressive visualization techniques that smartly uncover the most important information\r\nin order to maximize the visual information of the underlying data. This is achieved through dynamic change in visual representations, through deformations, or through changing the spatial position of parts of the data. Such techniques originate from technical illustration and are called cut-away views, ghosted views, and exploded views. These illustrative techniques unveil the most important visual information by a high level of abstraction. The change in visual representation or spatial position is done in a way that is easily perceivable and the overall visual harmony is preserved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 712,
            "image_height": 344,
            "name": "Viola-05-Smart-image.jpg",
            "type": "image/jpeg",
            "size": 29020,
            "path": "Publication:Viola-05-Smart",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166
        ],
        "booktitle": "Proceedings of EG Workshop on Computational Aesthetics Computational Aesthetics in Graphics, Visualization and Imaging",
        "date_from": "2005-05-18",
        "date_to": "2005-05-20",
        "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
        "isbn": "3905673274",
        "lecturer": [
            171
        ],
        "location": "Girona, Spain",
        "pages_from": "209",
        "pages_to": "216",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 712,
                "image_height": 344,
                "name": "Viola-05-Smart-image.jpg",
                "type": "image/jpeg",
                "size": 29020,
                "path": "Publication:Viola-05-Smart",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-05-Smart-Paper.pdf",
                "type": "application/pdf",
                "size": 3785392,
                "path": "Publication:Viola-05-Smart",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/Viola-05-Smart-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-05-Smart/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-2005-sco",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Spectral Colour Order Systems and Appearance Metrics for Fluorescent Solid Colours",
        "date": "2005-05",
        "abstract": "One aspect of Computational Aesthetics is the finding of harmonic colours for the objects in a scene. Although the\r\nobtained degree of colour harmony is a subjective criterion, experience shows that on average human observers\r\ntend to have quite similar responses to individual colour stimuli and their combinations. This observation is the\r\nbasis for what is commonly referred to as Colour Order Systems (COS), which aim to arrange colours in a fashion\r\nsuch that users can intuitively select individual colours – or even whole sets of them – according to some criterion.\r\nHowever, when dealing with a spectral rendering system, the use of traditional colour space COS to obtain pleasant\r\nassociations of colours becomes impossible, principally due to metamerism. An interesting problem would be\r\nthe derivation of a COS for spectral data which includes the ability to deal with fluorescent colours, the indirect\r\ngoal of such a metric system being the selection of aesthetically pleasing colour values for a spectral renderer.\r\nCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Three-Dimensional\r\nGraphics and Realism: Color",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 117,
            "name": "wilkie-2005-sco-image.jpg",
            "type": "image/jpeg",
            "size": 20433,
            "path": "Publication:wilkie-2005-sco",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            593,
            190
        ],
        "booktitle": "Proceedings of Computational Aesthetics in Graphics, Visualization and Imaging",
        "date_from": "2005-05-18",
        "date_to": "2005-05-20",
        "editor": "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
        "lecturer": [
            192
        ],
        "location": "Girona, Spain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "wilkie-2005-sco-.pdf",
                "type": "application/pdf",
                "size": 597441,
                "path": "Publication:wilkie-2005-sco",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 117,
                "name": "wilkie-2005-sco-image.jpg",
                "type": "image/jpeg",
                "size": 20433,
                "path": "Publication:wilkie-2005-sco",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/wilkie-2005-sco-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/wilkie-2005-sco/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2005-kat",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kalenderbauten? -- Zur astronomischen Ausrichtung der Kreisgrabenanlagen in Niederösterreich",
        "date": "2005-05",
        "abstract": "Eine Untersuchung von 28 neolithischen  Kreisgrabenanlagen Niederösterreichs ergab, dass etwa ein Drittel der Anlagen nicht solaren, sondern stellaren Bezug hatte, wobei eine Ausrichtung zum Aufgang der Pleiaden und dem gleichzeitigen Untergang des Antares am häufigsten vorkommt. Der heliakische Aufgang der Pleiaden konnte als Beginn des bäuerlichen Jahres verwendet werden. \n\nAn investigation of 28 neolithic circular enclosures (Kreisgrabenanlagen) showed a frequent orientation of doorways towards the rising point of the Pleiades star cluster and the setting point of the star Antares. The heliacal rising of the Pleiades could be used as start signal for the agricultural year.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "address": "Horn, Wien",
        "booktitle": "Zeitreise Heldenberg: Geheimnisvolle Kreisgräben --- Niederösterreichische Landesausstellung 2005",
        "editor": "Falko Daim and Wolfgang Neubauer",
        "isbn": "3-85460-226-X",
        "number": "459",
        "pages_from": "75",
        "pages_to": "79",
        "publisher": "Verlag Berger",
        "series": "Katalog des NÖ Landesmuseums, Neue Folge",
        "research_areas": [],
        "keywords": [
            "astronomische Orientierung",
            "Kreisgrabenanlagen",
            "Archäoastronomie"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-kat/",
        "__class": "Publication"
    },
    {
        "id": "havran-2005-sccg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Cross-Validation and Resampling of BRDF Data Measurements",
        "date": "2005-05",
        "abstract": "We discuss the validation of BTF data measurements by means used for\nBRDF measurements. First, we show how to apply the Helmholtz reciprocity\nand isotropy for a single data set. Second, we discuss a\ncross-validation for BRDF measurement data obtained from two different\nmeasurement setups, where the measurements are not calibrated or the\nlevel of accuracy is not known. We show the practical problems\nencountered and the solutions we have used to validate physical setup\nfor four material samples. We describe a novel coordinate system\nsuitable for resampling the BRDF data from one data set to another\ndata set. Further, we show how the perceptually uniform color space\nCIELab is used for cross-comparison of BRDF data measurements, which\nwere not calibrated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 913,
            "image_height": 743,
            "name": "havran-2005-sccg-image.jpg",
            "type": "image/jpeg",
            "size": 84962,
            "path": "Publication:havran-2005-sccg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            232,
            222,
            190,
            312
        ],
        "booktitle": "Proceedings SCCG 2005",
        "date_from": "2005-05-12",
        "date_to": "2005-05-14",
        "lecturer": [
            203
        ],
        "location": "Budmerice, Slovakia",
        "pages_from": "161",
        "pages_to": "168",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "reflectance function",
            "BRDF data acquisition",
            "BRDF data validation",
            "predictive rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "havran-2005-sccg-.pdf",
                "type": "application/pdf",
                "size": 2250090,
                "path": "Publication:havran-2005-sccg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 913,
                "image_height": 743,
                "name": "havran-2005-sccg-image.jpg",
                "type": "image/jpeg",
                "size": 84962,
                "path": "Publication:havran-2005-sccg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/havran-2005-sccg-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-sccg/",
        "__class": "Publication"
    },
    {
        "id": "Grimm-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Mono- and Multi-Volume Rendering of Large Medical Datasets on Standard PC Hardware",
        "date": "2005-04",
        "abstract": "Direct Volume Visualization is an efficient technique to explore complex structures within volumetric data. Its main advantage, compared to standard 3D surface rendering, is the ability to perform semitransparent rendering in order to provide more information about spatial relationships of different structures. Semitransparent rendering requires to process a huge amount of data. The size of volumetric data is rapidly increasing, on the one hand due to the boost of processing power in the past years, and on the other hand due to improved capabilities of newer acquisition devices. This large data presents a challenge to current rendering architectures and techniques. The enormous data sizes introduce a growing demand for interactive 3D visualization. Conventional slicing methods already reach their limit of usability due to the enormous amount of slices. 3D visualization is more and more explored as an attractive alternative additional method for examinations of large medical data to support the necessary 2D examination. Within this dissertation a set of approaches to handle and render large volumetric data is developed, enabling significant performance improvements due to a much better utilization of the CPUs processing power and available memory bandwidth. At first, highly efficient approaches for addressing and processing of a cache efficient memory layout for volumetric data are presented. These approaches serve as a base for a full-blown high-quality raycasting system, capable of handling large data up to 3GB, a limitation imposed by the virtual address space of current consumer operating systems. The core acceleration techniques of this system are a refined caching scheme for gradient estimation in conjunction with a hybrid skipping and removal of transparent regions to reduce the amount of data to be processed. This system is extended so that efficient processing of multiple large data sets is possible. An acceleration technique for direct volume rendering of scenes, composed of multiple volumetric objects, is developed; it is based on the distinction between regions of intersection, which need costly multi-volume processing, and regions containing only one volumetric object, which can be efficiently processed. Furthermore, V-Objects, a concept of modeling scenes consisting of multiple volumetric objects, are presented. It is demonstrated that the concept of V-Objects in combination with direct volume rendering, is a promising technique for visualizing medical data and can provide advanced means to explore and investigate data. In the second part of the dissertation, an alternative to grid-based volume graphics is presented: Vots, a point-based representation of volumetric data. It is a novel primitive for volumetric data modeling, processing, and rendering. A new paradigm is presented by moving the data representation from a discrete representation to an implicit one.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1063,
            "image_height": 1322,
            "name": "Grimm-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 210021,
            "path": "Publication:Grimm-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160
        ],
        "date_end": "2005-04",
        "date_start": "2002-10",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1063,
                "image_height": 1322,
                "name": "Grimm-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 210021,
                "path": "Publication:Grimm-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Grimm-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 100359708,
                "path": "Publication:Grimm-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/Grimm-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Grimm-thesis/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-02",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "MammoExplorer: An Advanced CAD Application for Breast DCE-MRI",
        "date": "2005-04",
        "abstract": "Breast cancer is the second leading cause of cancer deaths in women today. Although X-ray mammography is regarded as the most widely used method for early detection of breast cancer, the use of Contrast Enhanced MRI (CE-MRI) has gained considerable attention in the past years. Especially, Dynamic CE-MRI (DCE-MRI) considerably improves tumor classification by analyzing the flow of contrast agent within the breast tissue. In this paper we present MammoExplorer, an advanced CAD application that combines advanced interaction, segmentation and visualization techniques to explore Breast DCE-MRI data. In addition, we present a novel graphical representation of DCE-MRI data, new segmentation approaches, and a new way to explore temporal data.",
        "authors_et_al": false,
        "substitute": "coto-2005-MAC",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 298,
            "image_height": 253,
            "name": "TR-186-2-05-02-image.jpg",
            "type": "image/jpeg",
            "size": 34559,
            "path": "Publication:TR-186-2-05-02",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            486,
            160,
            161,
            166,
            162,
            487
        ],
        "number": "TR-186-2-05-02",
        "research_areas": [],
        "keywords": [
            "Contrast Enhanced MRI",
            "CAD",
            "Breast cancer"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 298,
                "image_height": 253,
                "name": "TR-186-2-05-02-image.jpg",
                "type": "image/jpeg",
                "size": 34559,
                "path": "Publication:TR-186-2-05-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-02-Technical Report.pdf",
                "type": "application/pdf",
                "size": 1883623,
                "path": "Publication:TR-186-2-05-02",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/TR-186-2-05-02-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-02/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-03",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "D²VR: High Quality Volume Rendering of Projection-based Volumetric Data",
        "date": "2005-04",
        "abstract": "Volume-rendering techniques are conventionally classified into two categories represented by direct and indirect methods. Indirect methods require to transform the initial volumetric model into an intermediate geometrical model in order to efficiently visualize it. In contrast, direct volume-rendering (DVR) methods can directly process the volumetric data. Modern 3D scanning technologies, like CT or MRI, usually provide data as a set of samples on rectilinear grid points, which are computed from the measured projections by discrete tomographic reconstruction. Therefore the set of these reconstructed samples can already be considered as an intermediate volume representation. In this paper we introduce a new paradigm for direct direct volume rendering (D²VR), which does not require a rectilinear grid at all, since it is based on an immediate processing of the measured projections. Arbitrary samples for ray casting are reconstructed from the projections by using the Filtered Back-Projection algorithm. Our method removes an unnecessary and lossy resampling step from the classical volume rendering pipeline. Thus, it provides much higher accuracy than traditional grid-based resampling techniques do. Furthermore we also present a novel high-quality gradient estimation scheme, which is also based on the Filtered Back-Projection algorithm. Finally we introduce a hierarchical space partitioning approach for projection-based volumetric data, which is used to accelerate D²VR.",
        "authors_et_al": false,
        "substitute": "RAUTEK06",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 674,
            "image_height": 675,
            "name": "TR-186-2-05-03-image.jpg",
            "type": "image/jpeg",
            "size": 118616,
            "path": "Publication:TR-186-2-05-03",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            488,
            160,
            161,
            166
        ],
        "number": "TR-186-2-05-03",
        "research_areas": [],
        "keywords": [
            "Volume Rendering",
            "Filtered Back-Projection",
            "Reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 674,
                "image_height": 675,
                "name": "TR-186-2-05-03-image.jpg",
                "type": "image/jpeg",
                "size": 118616,
                "path": "Publication:TR-186-2-05-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-03-Technical Report.pdf",
                "type": "application/pdf",
                "size": 3945001,
                "path": "Publication:TR-186-2-05-03",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/TR-186-2-05-03-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-03/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-04",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "VolumeShop: An Interactive System for Direct Volume Illustration",
        "date": "2005-04",
        "abstract": "Illustrations play a major role in the education process.  Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. Although many specimen are readily available as volumetric data sets, particularly in medicine, illustrations are commonly produced manually as static images in a time-consuming process. Our goal is to create a fully dynamic three-dimensional illustration environment which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. In this paper we present methods to realize such a system which combines artistic visual styles and expressive visualization techniques. We introduce a novel concept for direct multi-object volume visualization which allows to control the appearance of inter-penetrating objects via two-dimensional transfer functions. Furthermore, a unifying approach to efficiently integrate many non-photorealistic rendering models is presented. We discuss several illustrative concepts which can be realized by combining cutaways, ghosting, and selective deformation. Finally, we also propose a simple interface to specify objects of interest through three-dimensional volumetric painting. All presented methods are integrated into VolumeShop, an interactive hardware-accelerated application for direct volume illustration.",
        "authors_et_al": false,
        "substitute": "bruckner-2005-VIS",
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 768,
            "name": "TR-186-2-05-04-image.jpg",
            "type": "image/jpeg",
            "size": 72263,
            "path": "Publication:TR-186-2-05-04",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            166
        ],
        "number": "TR-186-2-05-04",
        "research_areas": [],
        "keywords": [
            "focus+context techniques",
            "illustrative visualization",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Carp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "TR-186-2-05-04-Carp.avi",
                "type": "video/x-msvideo",
                "size": 3704832,
                "path": "Publication:TR-186-2-05-04",
                "preview_name": "TR-186-2-05-04-Carp:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 34875,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Carp.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Carp:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Carp:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Demo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 800,
                "preview_image_height": 800,
                "name": "TR-186-2-05-04-Demo.avi",
                "type": "video/x-msvideo",
                "size": 45974528,
                "path": "Publication:TR-186-2-05-04",
                "preview_name": "TR-186-2-05-04-Demo:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 261872,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Demo.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Demo:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Demo:video.mp4"
            },
            {
                "description": null,
                "filetitle": "Head",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "TR-186-2-05-04-Head.avi",
                "type": "video/x-msvideo",
                "size": 3847168,
                "path": "Publication:TR-186-2-05-04",
                "preview_name": "TR-186-2-05-04-Head:preview.png",
                "preview_type": "image/png",
                "preview_size": 329456,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Head.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Head:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Head:video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 768,
                "name": "TR-186-2-05-04-image.jpg",
                "type": "image/jpeg",
                "size": 72263,
                "path": "Publication:TR-186-2-05-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-04-Technical Report.pdf",
                "type": "application/pdf",
                "size": 3703281,
                "path": "Publication:TR-186-2-05-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Technical Report:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Trachea",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 768,
                "preview_image_height": 768,
                "name": "TR-186-2-05-04-Trachea.avi",
                "type": "video/x-msvideo",
                "size": 3839488,
                "path": "Publication:TR-186-2-05-04",
                "preview_name": "TR-186-2-05-04-Trachea:preview.png",
                "preview_type": "image/png",
                "preview_size": 276218,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Trachea.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Trachea:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/TR-186-2-05-04-Trachea:video.mp4"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-04/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-05-AIP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Impostor Placement for Guaranteed Frame Rates and Low Memory Requirements",
        "date": "2005-04",
        "abstract": "Impostors are image-based primitives commonly used to replace complex geometry in order to reduce the rendering time needed for displaying complex scenes. However, a big problem is the huge amount of memory required for impostors. \nThis paper presents an algorithm that automatically places impostors into a scene so that a desired frame rate and\nimage quality is always met, while at the same time not requiring enormous amounts of impostor memory. The low memory requirements are provided by a new placement method and through the simultaneous use of other acceleration techniques like visibility culling and geometric levels of detail.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 949,
            "image_height": 361,
            "name": "jeschke-05-AIP-image.jpg",
            "type": "image/jpeg",
            "size": 90640,
            "path": "Publication:jeschke-05-AIP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193,
            357,
            190
        ],
        "booktitle": "Proceedings of ACM SIGGRAPH 2005 Symposium on Interactive 3D Graphics and Games",
        "date_from": "2005-04-03",
        "date_to": "2005-04-06",
        "isbn": "1-59593-013-2",
        "lecturer": [
            356
        ],
        "location": "Washington DC",
        "organization": "ACM",
        "pages_from": "103",
        "pages_to": "110",
        "publisher": "ACM Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 949,
                "image_height": 361,
                "name": "jeschke-05-AIP-image.jpg",
                "type": "image/jpeg",
                "size": 90640,
                "path": "Publication:jeschke-05-AIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-05-AIP-Paper.pdf",
                "type": "application/pdf",
                "size": 1153371,
                "path": "Publication:jeschke-05-AIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 640,
                "preview_image_height": 480,
                "name": "jeschke-05-AIP-Video.mpg",
                "type": "video/mpv",
                "size": 47809988,
                "path": "Publication:jeschke-05-AIP",
                "preview_name": "jeschke-05-AIP-Video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 5347,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video.mpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/jeschke-05-AIP-Video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "Treelumination",
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-AIP/",
        "__class": "Publication"
    },
    {
        "id": "jeschke-05-ARI",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accelerating the Rendering Process Using Impostors",
        "date": "2005-03",
        "abstract": "The interactive rendering of three-dimensional geometric models is a research\narea of big interest in computer graphics. The generation of a fluent animation\nfor complex models, consisting of multiple million primitives, with more than\n60 frames per second is a special challenge. Possible applications include ship-,\ndriving- and flight simulators, virtual reality and computer games. Although the\nperformance of common computer graphics hardware has dramatically increased\nin recent years, the demand for more realism and complexity in common scenes\nis growing even faster.\nThis dissertation is about one approach for accelerating the rendering of such\ncomplex scenes. We take advantage of the fact that the appearance of distant scene\nparts hardly changes for several successive output images. Those scene parts are\nreplaced by precomputed image-based representations, so-called impostors. Impostors\nare very fast to render while maintaining the appearance of the scene part\nas long as the viewer moves within a bounded viewing region, a so-called view\ncell.\nHowever, unsolved problems of impostors are the support of a satisfying visual\nquality with reasonable computational effort for the impostor generation, as well\nas very high memory requirements for impostors for common scenes. Until today,\nthese problems are the main reason why impostors are hardly used for rendering\nacceleration.\nThis thesis presents two new impostor techniques that are based on partitioning\nthe scene part to be represented into image layers with different distances to\nthe observer. A new error metric allows a guarantee for a minimum visual quality\nof an impostor even for large view cells. Furthermore, invisible scene parts\nare efficiently excluded from the representation without requiring any knowledge\nabout the scene structure, which provides a more compact representation. One\nof the techniques combines every image layer separately with geometric information.\nThis allows a fast generation of memory-efficient impostors for distant scene\nparts. In the other technique, the geometry is independent from the depth layers,\nwhich allows a compact representation for near scene parts.\nThe second part of this work is about the efficient usage of impostors for a\ngiven scene. The goal is to guarantee a minimum frame rate for every view within\nthe scene while at the same time minimizing the memory requirements for all impostors.\nThe presented algorithm automatically selects impostors and view cells\nso that for every view, only the most suitable scene parts are represented as impostors.\nPrevious approaches generated numerous similar impostors for neighboring\nview cells, thus wasting memory. The new algorithm overcomes this problem.\ni\nThe simultaneous use of additional acceleration techniques further reduces the required\nimpostor memory and allows making best use of all available techniques\nat the same time. The approach is general in the sense that it can handle arbitrary\nscenes and a broad range of impostor techniques, and the acceleration provided\nby the impostors can be adapted to the bottlenecks of different rendering systems.\nIn summary, the provided techniques and algorithms dramatically reduce the\nrequired impostor memory and simultaneously guarantee a minimum output image\nquality. This makes impostors useful for numerous scenes and applications\nwhere they could hardly be used before.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1022,
            "image_height": 396,
            "name": "jeschke-05-ARI-image.jpg",
            "type": "image/jpeg",
            "size": 115393,
            "path": "Publication:jeschke-05-ARI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356
        ],
        "co_supervisor": [
            190
        ],
        "date_end": "2005",
        "date_start": "2002",
        "supervisor": [
            357
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "image-based rendering",
            "impostors",
            "rendering acceleration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1022,
                "image_height": 396,
                "name": "jeschke-05-ARI-image.jpg",
                "type": "image/jpeg",
                "size": 115393,
                "path": "Publication:jeschke-05-ARI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "jeschke-05-ARI-pdf.pdf",
                "type": "application/pdf",
                "size": 2495559,
                "path": "Publication:jeschke-05-ARI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/jeschke-05-ARI-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/jeschke-05-ARI/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2005-HOQ",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware Occlusion Queries Made Useful",
        "date": "2005-03",
        "abstract": "Hardware occlusion queries make it possible for an application to ask the 3D API whether or not any pixels would be drawn if a particular object was rendered. With this feature, applications can check to see whether or not the bounding boxes of complex objects are visible; if the bounds are occluded, the application\ncan skip drawing those objects.  In this chapter, we present a simple and powerful algorithm to solve the problem of latency and CPU/GPU stall typically associated with a naive usage of hardware occlusion queries.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1920,
            "image_height": 1390,
            "name": "Wimmer-2005-HOQ-image.jpg",
            "type": "image/jpeg",
            "size": 719597,
            "path": "Publication:Wimmer-2005-HOQ",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            198
        ],
        "booktitle": "GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation",
        "editor": "Matt Pharr and Randima Fernando",
        "isbn": "0-32133-559-7",
        "pages_from": "91",
        "pages_to": "108",
        "publisher": "Addison-Wesley",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion culling",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1920,
                "image_height": 1390,
                "name": "Wimmer-2005-HOQ-image.jpg",
                "type": "image/jpeg",
                "size": 719597,
                "path": "Publication:Wimmer-2005-HOQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/Wimmer-2005-HOQ-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Wimmer-2005-HOQ/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2005-lum",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Approximating Real-World Luminaires with OpenGL Lights",
        "date": "2005-02",
        "abstract": "Dynamic illumination in real-time applications using OpenGL is still usually done with the classical light forms of point lights, directional\n  lights and spot lights.  For applications simulating real-world\n  scenes, e.g. architectural planning, finding parameter sets for\n  these simple lights to match real-world luminaires is required for\n  realistic work. This paper describes a simple approach to\n  process a luminaire data file in IESNA IES-LM63-95 format to create\n  an approximation using at most 2 OpenGL lights to represent one\n  luminaire.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1072,
            "image_height": 860,
            "name": "zotti-2005-lum-image.jpg",
            "type": "image/jpeg",
            "size": 140201,
            "path": "Publication:zotti-2005-lum",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            232,
            190
        ],
        "address": "Plzen",
        "booktitle": "WSCG 2005 Short Paper Proceedings",
        "date_from": "2005-02-01",
        "date_to": "2005-02-03",
        "editor": "Vaclav Skala",
        "isbn": "80-903100-9-5",
        "location": "Plzen",
        "note": "only on conference CD-ROM",
        "organization": "University of West Bohemia",
        "pages_from": "49",
        "pages_to": "52",
        "publisher": "UNION press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "interactive illumination planning",
            "OpenGL",
            "Real-world luminaires"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "zotti-2005-lum-.pdf",
                "type": "application/pdf",
                "size": 561509,
                "path": "Publication:zotti-2005-lum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1072,
                "image_height": 860,
                "name": "zotti-2005-lum-image.jpg",
                "type": "image/jpeg",
                "size": 140201,
                "path": "Publication:zotti-2005-lum",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/zotti-2005-lum-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-lum/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-01",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Context-Preserving Volume Rendering",
        "date": "2005-01",
        "abstract": "In volume rendering it is very difficult to simultaneously visualize interior and exterior structures while preserving\r\nclear shape cues. Very transparent transfer functions produce cluttered images with many overlapping structures,\r\nwhile clipping techniques completely remove possibly important context information. In this paper we present a\r\nnew model for volume rendering, inspired by techniques from illustration that provides a means of interactively\r\ninspecting the interior of a volumetric data set in a feature-driven way which retains context information. The\r\ncontext-preserving volume rendering model uses a function of shading intensity, gradient magnitude, distance to\r\nthe eye point, and previously accumulated opacity to selectively reduce the opacity in less important data regions. It\r\nis controlled by two user-specified parameters. This new method represents an alternative to conventional clipping\r\ntechniques, shares their easy and intuitive user control, but does not suffer from the drawback of missing context\r\ninformation.",
        "authors_et_al": false,
        "substitute": "bruckner-2005-ICV",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "TR-186-2-05-01-image.jpg",
            "type": "image/jpeg",
            "size": 17280,
            "path": "Publication:TR-186-2-05-01",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            160,
            162,
            166
        ],
        "number": "TR-186-2-05-01",
        "research_areas": [],
        "keywords": [
            "focus+context techniques",
            "non-photorealistic techniques",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "TR-186-2-05-01-image.jpg",
                "type": "image/jpeg",
                "size": 17280,
                "path": "Publication:TR-186-2-05-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Technical Report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-01-Technical Report.pdf",
                "type": "application/pdf",
                "size": 8927084,
                "path": "Publication:TR-186-2-05-01",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-Technical Report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/TR-186-2-05-01-Technical Report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-01/",
        "__class": "Publication"
    },
    {
        "id": "Artner-2005-Thesis",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Volume Rendering with Resampling in the Frequency Domain",
        "date": "2005-01",
        "abstract": "This thesis introduces a volume rendering technique that is conceptually based on the shearwarp factorization. The novelty in our approach is that we perform the shear transformation entirely in the frequency domain. A compensation for the direction dependent sampling distance along the viewing rays, which is present in the standard shear-warp approach, is developed. This compensation is also carried out in the frequency domain and is capable of producing freely selectable sampling distances. The accurate scaling of the volume slices is achieved by using the zero padding interpolation property. Finally, a high quality gradient estimation scheme is presented which uses the derivative theorem of the Fourier transform. Experimental trials have shown that the presented method can outperform established algorithms in the quality of the resulting images. Especially in the case when the dataset was acquired according to the sampling theorem, the presented method is capable of a perfect reconstruction of the original function.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 580,
            "image_height": 540,
            "name": "Artner-2005-Thesis-image.jpg",
            "type": "image/jpeg",
            "size": 60156,
            "path": "Publication:Artner-2005-Thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            456
        ],
        "note": "1",
        "supervisor": [
            196,
            171,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 580,
                "image_height": 540,
                "name": "Artner-2005-Thesis-image.jpg",
                "type": "image/jpeg",
                "size": 60156,
                "path": "Publication:Artner-2005-Thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artner-2005-Thesis-Thesis.pdf",
                "type": "application/pdf",
                "size": 11287788,
                "path": "Publication:Artner-2005-Thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/Artner-2005-Thesis-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Artner-2005-Thesis/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2005-AIV",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Applications of Illustrative Volume Visualization Techniques",
        "date": "2005",
        "abstract": "Illustrative visualization deals with computer supported interactive and expressive visualizations through abstractions which are\r\ninspired by traditional illustrations. This talk covers two important aspects of illustrative visualization of volume data: exploration and communication. Exploration deals with techniques for the rapid visualization of data with limited or no prior knowledge about the nature and/or structure of the data. Communication, on the other hand, is concerned with conveying complex structures or relationships to individuals. The talk discusses recent approaches in both areas.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 863,
            "name": "bruckner-2005-AIV-image.jpg",
            "type": "image/jpeg",
            "size": 120918,
            "path": "Publication:bruckner-2005-AIV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "date_from": "2005-10-06",
        "date_to": "2005-10-06",
        "location": "Magdeburg, Germany",
        "research_areas": [],
        "keywords": [
            "exploration",
            "illustrative visualization",
            "communication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 863,
                "name": "bruckner-2005-AIV-image.jpg",
                "type": "image/jpeg",
                "size": 120918,
                "path": "Publication:bruckner-2005-AIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/bruckner-2005-AIV-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-AIV/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2005-ATI",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Abstraction Techniques for Interactive Illustration",
        "date": "2005",
        "abstract": "Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. One of the key concepts for creating an expressive illustration is abstraction. Abstraction introduces a distortion between the visualization and the underlying model according to the communicative intent of the illustration. Inspired by observations from hand-made illustrations, similar \r\ntechniques for the generation of rendered images have \r\nbeen developed. These techniques work on different levels: low level abstraction techniques (stylized \r\ndepiction methods) deal with how objects should be presented, while high level abstraction techniques (smart visibility approaches) are concerned with what should be \r\nvisible and recognizable. We review several existing approaches from both categories and describe important \r\nconcepts used in the design of a system for creating interactive illustrations directly from volumetric data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 768,
            "name": "bruckner-2005-ATI-image.jpg",
            "type": "image/jpeg",
            "size": 55132,
            "path": "Publication:bruckner-2005-ATI",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/bruckner-2005-ATI-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/bruckner-2005-ATI-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "date_from": "2005-05-05",
        "date_to": "2005-05-10",
        "event": "Dagstuhl Seminar on Scientific Visualization: Challenges for the Future",
        "location": "Dagstuhl, Germany",
        "research_areas": [],
        "keywords": [
            "illustration",
            "scientific visualization",
            "abstraction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 768,
                "name": "bruckner-2005-ATI-image.jpg",
                "type": "image/jpeg",
                "size": 55132,
                "path": "Publication:bruckner-2005-ATI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/bruckner-2005-ATI-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/bruckner-2005-ATI-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2005-ATI-Slides.zip",
                "type": "application/x-zip",
                "size": 42282180,
                "path": "Publication:bruckner-2005-ATI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/bruckner-2005-ATI-Slides.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/bruckner-2005-ATI/",
        "__class": "Publication"
    },
    {
        "id": "dataset-stagbeetle",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stag beetle",
        "date": "2005",
        "abstract": "The stag beetle from Georg Glaeser, Vienna University of Applied Arts, Austria, was scanned with an industrial CT by Johannes Kastner, Wels  College of Engineering, Austria, and Meister Eduard Gröller, Vienna University of Technology, Austria.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 858,
            "name": "dataset-stagbeetle-image.jpg",
            "type": "image/jpeg",
            "size": 158037,
            "path": "Publication:dataset-stagbeetle",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            420,
            571
        ],
        "research_areas": [],
        "keywords": [
            "volume",
            "data set"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "208x208x123",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-stagbeetle-208x208x123.zip",
                "type": "application/x-zip",
                "size": 401265,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-208x208x123.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "277x277x164",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-stagbeetle-277x277x164.zip",
                "type": "application/x-zip",
                "size": 931091,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-277x277x164.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "416x416x247",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-stagbeetle-416x416x247.dat",
                "type": "application/octet-stream",
                "size": 85489670,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-416x416x247.dat",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "832x832x494",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-stagbeetle-832x832x494.zip",
                "type": "application/x-zip",
                "size": 23425500,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-832x832x494.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 858,
                "name": "dataset-stagbeetle-image.jpg",
                "type": "image/jpeg",
                "size": 158037,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "readme",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-stagbeetle-readme.pdf",
                "type": "application/pdf",
                "size": 291045,
                "path": "Publication:dataset-stagbeetle",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-readme.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/dataset-stagbeetle-readme:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/dataset-stagbeetle/",
        "__class": "Publication"
    },
    {
        "id": "diss-thesis-bratislava",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Expressive Visualization",
        "date": "2005",
        "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 416,
            "image_height": 451,
            "name": "diss-thesis-bratislava-image.jpg",
            "type": "image/jpeg",
            "size": 45104,
            "path": "Publication:diss-thesis-bratislava",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2005-10-10",
        "event": "Dissertation Thesis Report",
        "location": "Comenius University Bratislava, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 416,
                "image_height": 451,
                "name": "diss-thesis-bratislava-image.jpg",
                "type": "image/jpeg",
                "size": 45104,
                "path": "Publication:diss-thesis-bratislava",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/diss-thesis-bratislava-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-bratislava/",
        "__class": "Publication"
    },
    {
        "id": "diss-thesis-magdeburg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Expressive Visualization",
        "date": "2005",
        "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 416,
            "image_height": 451,
            "name": "diss-thesis-magdeburg-image.jpg",
            "type": "image/jpeg",
            "size": 45104,
            "path": "Publication:diss-thesis-magdeburg",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2005-10-06",
        "event": "Dissertation Thesis Report",
        "location": "University of Magdeburg, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 416,
                "image_height": 451,
                "name": "diss-thesis-magdeburg-image.jpg",
                "type": "image/jpeg",
                "size": 45104,
                "path": "Publication:diss-thesis-magdeburg",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/diss-thesis-magdeburg-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-magdeburg/",
        "__class": "Publication"
    },
    {
        "id": "diss-thesis-siegen",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Expressive Visualization",
        "date": "2005",
        "abstract": "In this talk several expressive visualization techniques for volumetric data are presented. The key idea is to classify the underlying data according to its prominence on the resulting visualization by importance value. The importance property drives the visualization pipeline to emphasize the most prominent features and to suppress the less relevant ones. The suppression can be realized globally, so the whole object is suppressed, or locally. A local modulation generates cut-away and ghosted views because the suppression of less relevant features occurs only on the part where the occlusion of more important features appears.\n\nFeatures within the volumetric data are classified according to a new imension denoted as object importance. This property determines which structures should be readily discernible and which structures are less important. Next, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance. An additional step to traditional volume rendering evaluates the areas of occlusion and assigns a particular level of sparseness. This step is denoted as importance compositing. Advanced schemes for importance compositing determine the resulting visibility of features and if the resulting visibility distribution does not correspond to the importance distribution different levels of sparseness are selected.\n\nThe applicability of importance-driven visualization is demonstrated\non several examples from medical diagnostics scenarios, flow visualization, and interactive illustrative visualization. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 416,
            "image_height": 451,
            "name": "diss-thesis-siegen-image.jpg",
            "type": "image/jpeg",
            "size": 45104,
            "path": "Publication:diss-thesis-siegen",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2005-11-11",
        "event": "Dissertation Thesis Report",
        "location": "University of Siegen, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 416,
                "image_height": 451,
                "name": "diss-thesis-siegen-image.jpg",
                "type": "image/jpeg",
                "size": 45104,
                "path": "Publication:diss-thesis-siegen",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/diss-thesis-siegen-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/diss-thesis-siegen/",
        "__class": "Publication"
    },
    {
        "id": "draeger-2005-chain",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A ChainMail Algorithm for Direct Volume Deformation in Virtual Endoscopy Applications",
        "date": "2005",
        "abstract": "Endoscopy is an integral part of medical practice although the procedure is often unpleasant for the patient. Virtual endoscopy is a diagnosis tool which visualizes 3D image data sets to show a virtual view of the patient similar to the images generated by a traditional endoscopy. A virtualendoscopysystemcalledSTEPSwasdevelopedattheVRVistosimulatetranssphenoidal endonasal pituitary adenoma surgery. This thesis describes a deformation engine extending the STEPS application to enhance the realism. The two main contributions are the development of the Divod ChainMail algorithm, an algorithm for direct volume deformation based on the Chain- Mail and Enhanced ChainMail algorithms, and the integration of the engine into the existing STEPS. We use a Constrained Particle System to directly model and manipulate the volume data instead of modeling objects extracted from the volume data. We further proposes a simple interface to ease integration and enforce reusability of the software components. This thesis describes our Divod ChainMail algorithm, the interface and integration details, and provides timing results. Finally, it offers a discussion of the presented methods pointing out possible improvements and further work.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1050,
            "image_height": 988,
            "name": "draeger-2005-chain-image.jpg",
            "type": "image/jpeg",
            "size": 95385,
            "path": "Publication:draeger-2005-chain",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            490
        ],
        "supervisor": [
            231,
            497,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1050,
                "image_height": 988,
                "name": "draeger-2005-chain-image.jpg",
                "type": "image/jpeg",
                "size": 95385,
                "path": "Publication:draeger-2005-chain",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "draeger-2005-chain-PDF.pdf",
                "type": "application/pdf",
                "size": 3119341,
                "path": "Publication:draeger-2005-chain",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/draeger-2005-chain-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/draeger-2005-chain/",
        "__class": "Publication"
    },
    {
        "id": "eg-tut2005-iv",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Eurographics Tutorial on Illustrative Visualization",
        "date": "2005",
        "abstract": "The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations.\nSuch techniques exploit the perception of the human visual system and provide effective visual abstractions\nto make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive\npresentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive\ntechniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic\nrendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis\nor feature suppression is achieved by combining different abstraction levels in illustrative rendering.\nChallenges in visualization research are very large data visualization as well as multi-dimensional data visualization.\nTo effectively convey the most important visual information there is a significant need for visual abstraction.\nFor less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect\nas compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired\npatient data. This can be very useful in anatomy education. Another application area is surgical planning which\nis demonstrated with two case studies: neck dissection and liver surgery planning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 81,
            "name": "eg-tut2005-iv-image.jpg",
            "type": "image/jpeg",
            "size": 4401,
            "path": "Publication:eg-tut2005-iv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166,
            231,
            226,
            563,
            564
        ],
        "booktitle": "Tutorial Notes on Illustrative Visualization",
        "publisher": "Eurographics",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 81,
                "name": "eg-tut2005-iv-image.jpg",
                "type": "image/jpeg",
                "size": 4401,
                "path": "Publication:eg-tut2005-iv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Tutorial Notes",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "eg-tut2005-iv-Tutorial Notes.pdf",
                "type": "application/pdf",
                "size": 18410027,
                "path": "Publication:eg-tut2005-iv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/eg-tut2005-iv-Tutorial Notes:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/",
        "__class": "Publication"
    },
    {
        "id": "Thurner-2005-IVR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance Driven Volume Rendering",
        "date": "2005",
        "abstract": "find all information here:\r\n\r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/FKleber/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "Thurner-2005-IVR-.jpg",
            "type": "image/jpeg",
            "size": 44913,
            "path": "Publication:Thurner-2005-IVR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            602,
            603
        ],
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "Thurner-2005-IVR-.jpg",
                "type": "image/jpeg",
                "size": 44913,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-:thumb{{size}}.png"
            },
            {
                "description": "Documentation of the API",
                "filetitle": "api-documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-api-documentation.zip",
                "type": "application/x-zip",
                "size": 962960,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-api-documentation.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Windows Binaries in zip format",
                "filetitle": "binary",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-binary.zip",
                "type": "application/x-zip",
                "size": 430691,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-binary.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "User Documentation",
                "filetitle": "documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-documentation.pdf",
                "type": "application/pdf",
                "size": 646663,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-documentation:thumb{{size}}.png"
            },
            {
                "description": "Masks",
                "filetitle": "masks",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-masks.zip",
                "type": "application/x-zip",
                "size": 12676,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-masks.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-paper.pdf",
                "type": "application/pdf",
                "size": 1656144,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-paper:thumb{{size}}.png"
            },
            {
                "description": "Source Code",
                "filetitle": "source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-source.zip",
                "type": "application/x-zip",
                "size": 8064157,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-source.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Datasets for testing Purpose",
                "filetitle": "testdata",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Thurner-2005-IVR-testdata.zip",
                "type": "application/x-zip",
                "size": 1696255,
                "path": "Publication:Thurner-2005-IVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/Thurner-2005-IVR-testdata.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Thurner-2005-IVR/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-05-06",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Visibility in Visualization",
        "date": "2005",
        "abstract": "In this paper we discuss expressive visualization techniques that smartly uncover the most important information\r\nin order to maximize the visual information of the underlying data. This is achieved through dynamic change in visual representations, through deformations, or through changing the spatial position of parts of the data. Such techniques originate from technical illustration and are called cut-away views, ghosted views, and exploded views. These illustrative techniques unveil the most important visual information by a high level of abstraction. The change in visual representation or spatial position is done in a way that is easily perceivable and the overall visual harmony is preserved.",
        "authors_et_al": false,
        "substitute": "Viola-05-Smart",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-05-06-Paper.pdf",
                "type": "application/pdf",
                "size": 1698237,
                "path": "Publication:TR-186-2-05-06",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/TR-186-2-05-06-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/TR-186-2-05-06-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-06/",
        "__class": "Publication"
    },
    {
        "id": "Trenkwalder-2004-MAR",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "March",
        "date": "2005",
        "abstract": "Im Zuge des Praktikums soll der Marching Cubes Algorithmus in das vuVolume-Framework integriert werden. Um den Umfang eines Praktikums zu erreichen, sollen noch weitere Features rund um den Algorithmus implementiert werden. \r\n\r\nDetails:\r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/MTrenkwalder/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "http://www.cg.tuwien.ac.at/courses/projekte/vis/finished/MTrenkwalder/index.html",
            "filetitle": "picture1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 836,
            "image_height": 722,
            "name": "Trenkwalder-2004-MAR-picture1.gif",
            "type": "image/gif",
            "size": 82411,
            "path": "Publication:Trenkwalder-2004-MAR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-picture1.gif",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-picture1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            604
        ],
        "supervisor": [
            162
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 973,
                "name": "Trenkwalder-2004-MAR-.gif",
                "type": "image/gif",
                "size": 559598,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-:thumb{{size}}.png"
            },
            {
                "description": "Linux-Version des Programmes ",
                "filetitle": "binaries_linux",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trenkwalder-2004-MAR-binaries_linux.gz",
                "type": "text/plain",
                "size": 779840,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-binaries_linux.gz",
                "thumb_image_sizes": []
            },
            {
                "description": "Win32-Version des Programmes zusammen mit allen benötigten DLLs",
                "filetitle": "binaries",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trenkwalder-2004-MAR-binaries.zip",
                "type": "application/x-zip",
                "size": 6536015,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-binaries.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Die Projektdokumentation",
                "filetitle": "documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trenkwalder-2004-MAR-documentation.gz",
                "type": "text/plain",
                "size": 24825474,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-documentation.gz",
                "thumb_image_sizes": []
            },
            {
                "description": "http://www.cg.tuwien.ac.at/courses/projekte/vis/finished/MTrenkwalder/index.html",
                "filetitle": "picture1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 836,
                "image_height": 722,
                "name": "Trenkwalder-2004-MAR-picture1.gif",
                "type": "image/gif",
                "size": 82411,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-picture1.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-picture1:thumb{{size}}.png"
            },
            {
                "description": "Die Projektsourcen",
                "filetitle": "source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Trenkwalder-2004-MAR-source.gz",
                "type": "text/plain",
                "size": 1419886,
                "path": "Publication:Trenkwalder-2004-MAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/Trenkwalder-2004-MAR-source.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Trenkwalder-2004-MAR/",
        "__class": "Publication"
    },
    {
        "id": "ulbricht-2005-VOP",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "Verification of Physically Based Rendering Algorithms",
        "date": "2005",
        "abstract": "Within computer graphics, the field of predictive rendering is concerned with those methods of image synthesis which yield results that do not only look real, but are also radiometrically correct renditions of nature, i.e. which are accurate predictions of what a real scene would look like under given lighting conditions. \r\n\r\nIn order to guarantee the correctness of the results obtained by such techniques, three stages of such a rendering system have to be verified with particular care: the light reflection models, the light transport simulation and the perceptually based calculations used at display time.\r\n\r\nIn this report, we will concentrate on the state of the art with respect to the second step in this chain. Various approaches for experimental verification of the implementation of a physically based rendering system have been proposed so far. However, the problem of proving that the results are correct is not fully solved yet, and no standardized methodology is available. We give an overview of existing literature, discuss the strengths and weaknesses of the described methods and illustrate the unsolved problems. We also briefly discuss the related issue of image quality metrics. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1311,
            "image_height": 1224,
            "name": "ulbricht-2005-VOP-image.jpg",
            "type": "image/jpeg",
            "size": 381703,
            "path": "Publication:ulbricht-2005-VOP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225,
            192,
            190
        ],
        "booktitle": "State of the Art Reports, Eurographics 05",
        "pages_from": "95",
        "pages_to": "112",
        "publisher": "The Eurographics Association, and The Image Synthesis Group",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1311,
                "image_height": 1224,
                "name": "ulbricht-2005-VOP-image.jpg",
                "type": "image/jpeg",
                "size": 381703,
                "path": "Publication:ulbricht-2005-VOP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Verification_EG05_STAR",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "ulbricht-2005-VOP-Verification_EG05_STAR.pdf",
                "type": "application/pdf",
                "size": 11782457,
                "path": "Publication:ulbricht-2005-VOP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-Verification_EG05_STAR.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/ulbricht-2005-VOP-Verification_EG05_STAR:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/ulbricht-2005-VOP/",
        "__class": "Publication"
    },
    {
        "id": "viola-2005-imp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Feature Enhancement in Volume Visualization",
        "date": "2005",
        "abstract": "This paper presents importance-driven feature enhancement as a technique for the automatic generation of cut-away and ghosted views out of volumetric data. The presented focus+context approach removes or suppresses less important parts of a scene to reveal more important underlying information. however, less important parts are fully visible in those regions, where important visual information is not lost, i.e., more relevant features are not occluded.\r\nFeatures within the volumetric data are first classified according to a new dimension denoted as object importance.\r\nThis property determines which structures should be readily discernible and which structures are less important.\r\nNext, for each feature various representations (levels of sparseness) from a dense to a sparse depiction are defined. Levels of sparseness define a spectrum of optical properties or rendering styles. The resulting image is generated by ray-casting and combining the intersected features proportional to their importance (importance compositing).\r\nThe paper includes an extended discussion on several possible schemes for levels of sparseness specification. Furthermore different approaches to importance compositing are treated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 1795,
            "image_height": 1512,
            "name": "viola-2005-imp-image.jpg",
            "type": "image/jpeg",
            "size": 112390,
            "path": "Publication:viola-2005-imp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "journal": "IEEE Transactions on Visualization and Computer Graphics",
        "number": "4",
        "pages_from": "408",
        "pages_to": "418",
        "volume": "11",
        "research_areas": [],
        "keywords": [
            "non-photorealistic techniques",
            "view-dependent visualization",
            "volume rendering",
            "focus+context techniques",
            "level-of-detail techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1795,
                "image_height": 1512,
                "name": "viola-2005-imp-image.jpg",
                "type": "image/jpeg",
                "size": 112390,
                "path": "Publication:viola-2005-imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2005-imp-paper.pdf",
                "type": "application/pdf",
                "size": 36884028,
                "path": "Publication:viola-2005-imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/viola-2005-imp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/viola-2005-imp/",
        "__class": "Publication"
    },
    {
        "id": "Viola-vistutillustrativevis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "IEEE Visualization Tutorial on Illustrative Visualization",
        "date": "2005",
        "abstract": "The tutorial presents state-of-the-art visualization techniques inspired\nby traditional technical and medical illustrations. Such techniques\nexploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques\nused in art are adopted in computer graphics, and are denoted as\nillustrative or non-photorealistic rendering. Different stroke techniques,\nor brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientic visualization  are based on iso-surfaces and volume rendering. Apart\nfrom visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization\ntechniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. A different smart way to provide information on the data is using exploded views or other\ntypes of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made.\nIllustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and\nliver surgery planning.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 544,
            "image_height": 304,
            "name": "Viola-vistutillustrativevis-image.jpg",
            "type": "image/jpeg",
            "size": 63961,
            "path": "Publication:Viola-vistutillustrativevis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            166,
            231,
            226,
            563,
            564,
            565,
            566
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 544,
                "image_height": 304,
                "name": "Viola-vistutillustrativevis-image.jpg",
                "type": "image/jpeg",
                "size": 63961,
                "path": "Publication:Viola-vistutillustrativevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Tutorial Notes HQ Version.pdf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf",
                "type": "application/pdf",
                "size": 87682204,
                "path": "Publication:Viola-vistutillustrativevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes HQ Version.pdf:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Tutorial Notes Small Version",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf",
                "type": "application/pdf",
                "size": 29076997,
                "path": "Publication:Viola-vistutillustrativevis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/Viola-vistutillustrativevis-Tutorial Notes Small Version:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "exvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2005",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2005",
        "date": "2005",
        "abstract": "The card front shows a screenshot from \"Yetti's Skipark Tycoon\", one of the prize winners in this year's game development student course: Create your own ski resort & watch your happy guests being lifted up and ski down :-)\r\n\r\nThe back depicts the GameTools Project logo - one of the many projects the CG group at TU Vienna participates in (http://www.cg.tuwien.ac.at/projects). \t\r\n\r\nDie Vorderseite der Weihnachtskarte zeigt einen Screenshot aus \"Yetti's Skipark Tycoon\", einer der Gewinner der heurigen Computerspieleentwicklungslaboruebung: Bauen Sie Ihr eigenes Skiresort & schauen Sie Ihren Gaesten beim vergnuegten Skilauf zu :-)\r\n\r\nDie Rückseite ziert das GameTools Project Logo; GameTools ist eines der vielen Projekte, an denen die CG-Gruppe der TU Wien partizipiert (http://www.cg.tuwien.ac.at/projects).\r\nTU Wien - Computer Graphics Group\r\nMeisterhaft in Graphics\r\n\r\nIdea & Artwork: Markus Giegl",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1000,
            "image_height": 709,
            "name": "xmas-2005-image.png",
            "type": "image/png",
            "size": 1052917,
            "path": "Publication:xmas-2005",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            402
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1000,
                "image_height": 709,
                "name": "xmas-2005-image.png",
                "type": "image/png",
                "size": 1052917,
                "path": "Publication:xmas-2005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/xmas-2005-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/xmas-2005/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2005-NHM",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Der Himmel der Urzeit -- Zur astronomischen Interpretation der Himmelsscheibe im Kontext frühmitteleuropäischer Kulturen",
        "date": "2005",
        "abstract": "Vortrag im Rahmen der Ausstellung \"Der Geschmiedete Himmel\" zur Himmelsscheibe von Nebra im Naturhistorischen Museum Wien",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "date_from": "2005-12-07",
        "event": "Exhibition: Der Geschmiedete Himmel",
        "location": "Naturhistorisches Museum Wien",
        "research_areas": [],
        "keywords": [
            "Archäoastronomie",
            "Himmelsscheibe von Nebra",
            "Archeo-astronomy",
            "Nebra Disk"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-NHM/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2005-ntt",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Zur astronomischen Interpretation ausgezeichneter Richtungen der Neolithischen Kreisgrabenanlagen Niederösterreichs",
        "date": "2005",
        "abstract": "Die Untersuchung der Tor-Orientierung von 28 jungsteinzeitlichen Kreisgrabenanlagen (4800-4500 v.Chr.) ergab durchwegs Ausrichtungen zu bestimmten Auf- und Untergangspunkten der Sonne (z.B. Sonnwenden) und 4 ausgewählter Sterne, denen kalendarische Bedeutung zuzuordnen ist.\r\n\r\n(Results from analysis of 28 Kreisgrabenanlagen indicate orientation of their access doorways towards certain rising and setting points of the sun and selected stars.)",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "date_from": "2005-05-07",
        "event": "9. Niederösterreichsches Teleskoptreffen",
        "location": "Gasthof Gaupmann, Ebenwaldhöhe, Kleinzell / NÖ",
        "research_areas": [],
        "keywords": [
            "Archeo-astronomy",
            "Kreisgrabenanlagen"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/zotti-2005-ntt/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2005-dyn",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Texturing of Real Objects in an Augmented Reality System",
        "date": "2005",
        "abstract": "The ability to physically change properties of real objects\r\nused in augmented reality (AR) applications is limited.\r\nGeometrical properties (shape, size) and appearance\r\n(color, texture) of a real object remain unchanged during\r\na single application run. However, an AR system can be\r\nused to provide a virtual texture for the real object. The\r\ntexture can be changed dynamically based on user interactions.\r\nThe developed AR system includes two components,\r\nthe 3D Table and the Texture Painter. The 3D\r\nTable is a table where real objects are placed. The tabletop\r\nis used as a projection surface, making it possible to\r\nadd a context to the real object. The Texture Painter makes\r\nit possible to paint on the real object, using a real brush\r\nand virtual ink (texture). ARToolkit markers are placed on\r\nthe 3D Table tabletop to augment the environment with the\r\nvirtual objects. Markers are either physical (printouts on\r\nthe tabletop) or virtual (projections). The scene is recorded\r\nwith a camera and the composed video is projected in real\r\ntime. The projection shows a virtual environment, real objects\r\npainted with virtual ink, and virtual objects positioned\r\nwhere real or virtual ARToolkit markers are placed. The\r\ndeveloped system is used in architectural design applications\r\nwhere, due to the different qualities of real architectural\r\nmodels and rendered architectural models, real models\r\nare still used. The system was tested at the Academy of\r\nFine Arts in Vienna where it is used as a support tool for\r\narchitecture students.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 297,
            "image_height": 210,
            "name": "matkovic-2005-dyn-image.jpg",
            "type": "image/jpeg",
            "size": 29498,
            "path": "Publication:matkovic-2005-dyn",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            26,
            586,
            581
        ],
        "booktitle": "Proceeding of IEEE Virtual Reality 2005",
        "date_from": "2005-03-12",
        "date_to": "2005-03-16",
        "editor": "B. Frohlich, S. Julier, and H. Takemura",
        "isbn": "0-7803-8929-8 ",
        "lecturer": [
            235
        ],
        "location": "Bonn, Germany",
        "pages_from": "245",
        "pages_to": "248",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 297,
                "image_height": 210,
                "name": "matkovic-2005-dyn-image.jpg",
                "type": "image/jpeg",
                "size": 29498,
                "path": "Publication:matkovic-2005-dyn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2005-dyn-PDF.pdf",
                "type": "application/pdf",
                "size": 337720,
                "path": "Publication:matkovic-2005-dyn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/matkovic-2005-dyn-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-dyn/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2005-ca",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computational Aesthetics 2005",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            207,
            596,
            190
        ],
        "isbn": "3905673274",
        "pages": "249",
        "publisher": "Eurographics Association",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/purgathofer-2005-ca/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2005-Ros",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realtime Rendering Algorithmen",
        "date": "2005",
        "abstract": "Die enorme Entwicklung der Graphikkarten für PCs hat die Computergraphik-Programmierung weitreichend beeinflusst. Das effiziente Ausnutzen der sehr hohen Hardware-Leistung ermöglicht es, immer komplexere Szenen in Echtzeit zu rendern. Mehrere Strategien wurden entwickelt: die optimale Verteilung der Arbeit zwischen CPU und GPU, das frühzeitige Entfernen sicher nicht sichtbarer Objekte (Visibility Culling), geometrische Vereinfachungen, Texturen verschiedener Art und bildbasierte Bilderstellungsverfahren (Image-based Rendering). Der Vortrag gibt einen Überblick über diese Strategien und erklärt ausgewählte Algorithmen etwas detaillierter.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2005-03-31",
        "event": " ",
        "location": "Universität Rostock",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Purgathofer-2005-Ros/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-2005-Tub",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Some Speedup Techniques for Rendering",
        "date": "2005",
        "abstract": "Recent developments of graphics hardware for PCs have heavily influenced computer graphics programming. Making optimal use of the very efficient hardware features enables real-time rendering of more and more complex scenes. Several strategies are exploited: optimal workload distribution between CPU and GPU, visibility culling, geometric simplifications, textures, and image-based rendering. The talk gives an overview of these strategies and describes some results from the Vienna Graphics Group in more detail.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2005-10-21",
        "event": " ",
        "location": "Universität Tübingen",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Purgathofer-2005-Tub/",
        "__class": "Publication"
    },
    {
        "id": "rautek-2005-dvr",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "D²VR High-Quality Volume Rendering of Projection-based Volumetric Data",
        "date": "2005",
        "abstract": "Volume rendering techniques are conventionally classified into two categories\r\nrepresented by direct and indirect methods. Indirect methods require\r\nto transform the initial volumetric model into an intermediate geometrical\r\nmodel in order to efficiently visualize it. In contrast, direct volume-rendering\r\n(DVR) methods can directly process the volumetric data. Modern 3D scanning\r\ntechnologies, like CT or MRI, usually provide data as a set of samples on\r\nrectilinear grid points, which are computed from the measured projections by\r\ndiscrete tomographic reconstruction. Therefore the set of these reconstructed\r\nsamples can already be considered as an intermediate volume representation.\r\nIn this diploma thesis a new paradigm for direct direct volume rendering\r\n(D2VR) is introduced, which does not even require a rectilinear grid, since it\r\nis based on an immediate processing of the measured projections. Arbitrary\r\nsamples for ray casting are reconstructed from the projections by using the\r\nFiltered Back-Projection algorithm. The method presented in this thesis removes\r\nan unnecessary and lossy resampling step from the classical volume\r\nrendering pipeline. Thus, it provides much higher accuracy than traditional\r\ngrid-based resampling techniques do. Furthermore a novel high-quality gradient\r\nestimation scheme, which is also based on the Filtered Back-Projection\r\nalgorithm is presented. Finally we introduce a hierarchical space partitioning\r\napproach for projection-based volumetric data, which is used to accelerate\r\nD²VR.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "rautek-2005-dvr-image.jpg",
            "type": "image/jpeg",
            "size": 22303,
            "path": "Publication:rautek-2005-dvr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            488
        ],
        "supervisor": [
            160,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "rautek-2005-dvr-image.jpg",
                "type": "image/jpeg",
                "size": 22303,
                "path": "Publication:rautek-2005-dvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "rautek-2005-dvr-PDF.pdf",
                "type": "application/pdf",
                "size": 16381447,
                "path": "Publication:rautek-2005-dvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-PDF:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "title",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1531,
                "image_height": 1531,
                "name": "rautek-2005-dvr-title.jpg",
                "type": "image/jpeg",
                "size": 286078,
                "path": "Publication:rautek-2005-dvr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-title.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/rautek-2005-dvr-title:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/rautek-2005-dvr/",
        "__class": "Publication"
    },
    {
        "id": "scharsach-2005-adv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Raycasting for Virtual Endoscopy on Consumer Graphics Hardware",
        "date": "2005",
        "abstract": "Volume rendering techniques for medical applications face a number of problems that\r\nrestrict the applicable techniques to a handful of established algorithms. Developing\r\na virtual endoscopy application further narrows the choice due to the very specific\r\ndemands of such a system.\r\nFirst, being able to move the viewpoint into the dataset and providing correct renderings\r\nincorporating the wide field of view optical endoscopy cameras usually deliver\r\nis a challenging task at a time when many of the available professional solutions like\r\nTeraRecon’s VolumePro boards are still restricted to orthogonal rendering. Second,\r\nthe extreme perspective distortion of the image leads to an amplification of visible\r\nsampling artefacts, making it necessary to employ special techniques to deal with\r\nthis problem.\r\nThird, highly interactive framerates are not a welcomed feature but an absolute\r\nnecessity, since the possible intra-operative environment makes immediate response\r\nto certain actions essential. And last, correct visualization and intersection of the\r\nendoscopic tools have to be ensured in order to provide the surgeon with an adequate\r\nrepresentation of the environment.\r\nIn the past, there has always been a trade-off between functionality, interactivity and\r\nhigh-quality renderings resulting in systems either being able to produce interactive\r\nvisualizations that lack the necessary detail and correctness of the representation, or\r\nhigh-quality renderings that have to be generated off-line in a tedious process that\r\nmakes real-time adaptations impossible.\r\nThis thesis presents an approach that attempts to meet all the demands on a virtual\r\nendoscopy system by creating a rendering framework that allows for interactive\r\nframerates for almost every possible dataset, quality setting and rendering mode.\r\nTo achieve this, a number of specialized techniques is incorporated that extend the\r\nbasic rendering pipeline in numerous ways.\r\nAs virtually all of the different approaches to real-time visualization of volume\r\ndatasets, raycasting on consumer graphics hardware faces its own problems and\r\npitfalls. This is why separate sections of this thesis are dedicated to solutions to\r\nthese problems that make the approach as versatile as possible.\r\nFinally, results and real-life images of the raycaster are presented, which is already\r\nused in medical practice in pre-operative planning for neuro-surgery.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 820,
            "image_height": 1002,
            "name": "scharsach-2005-adv-image.jpg",
            "type": "image/jpeg",
            "size": 102297,
            "path": "Publication:scharsach-2005-adv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            491
        ],
        "supervisor": [
            231,
            226,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 820,
                "image_height": 1002,
                "name": "scharsach-2005-adv-image.jpg",
                "type": "image/jpeg",
                "size": 102297,
                "path": "Publication:scharsach-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "scharsach-2005-adv-PDF.pdf",
                "type": "application/pdf",
                "size": 34796689,
                "path": "Publication:scharsach-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/scharsach-2005-adv-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/scharsach-2005-adv/",
        "__class": "Publication"
    },
    {
        "id": "Scherzer_2005",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Robust Shadow Maps for Large Environments",
        "date": "2005",
        "abstract": "One of the most demanding challenges for real-time shadow algorithms is their application to large-scale, polygon-rich and dynamic environments.\r\nIn this paper, we discuss the major problems encountered in applying shadow maps to such an environment and provide practical and robust solutions to the appearing problems. We tackle projection aliasing with the aid of an eye space blur. We compare the major biasing methods to remove incorrect self-shadowing of polygons. Finally we are providing some advancements to the recently published light space perspective shadow mapping method to resolve projection aliasing problems.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "The final intersection body B (violet) with a light direction from above (orange arrows)",
            "filetitle": "body_B",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1500,
            "image_height": 1125,
            "name": "Scherzer_2005-body_B.png",
            "type": "image/png",
            "size": 580386,
            "path": "Publication:Scherzer_2005",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-body_B.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-body_B:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            452
        ],
        "booktitle": "Proceedings of the Central European Seminar on Computer Graphics 2005",
        "publisher": "Eigenverlag",
        "research_areas": [],
        "keywords": [
            "real-time",
            "shadow algorithm"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "The final intersection body B (violet) with a light direction from above (orange arrows)",
                "filetitle": "body_B",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1500,
                "image_height": 1125,
                "name": "Scherzer_2005-body_B.png",
                "type": "image/png",
                "size": 580386,
                "path": "Publication:Scherzer_2005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-body_B.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-body_B:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "name": "Scherzer_2005-paper.pdf",
                "type": "application/pdf",
                "size": 4400364,
                "path": "Publication:Scherzer_2005",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/Scherzer_2005-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Scherzer_2005/",
        "__class": "Publication"
    },
    {
        "id": "Selig_2005_WRO",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Forest Rendering in Ogre",
        "date": "2005",
        "abstract": "Efficient implementation of forest rendering in Ogre3D.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "Wald_in_Ogre",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "Selig_2005_WRO-Wald_in_Ogre.jpg",
            "type": "image/jpeg",
            "size": 250003,
            "path": "Publication:Selig_2005_WRO",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            620
        ],
        "supervisor": [
            618,
            356,
            326
        ],
        "research_areas": [],
        "keywords": [
            "Forest",
            "Ogre3D"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "Wald_in_Ogre",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "Selig_2005_WRO-Wald_in_Ogre.jpg",
                "type": "image/jpeg",
                "size": 250003,
                "path": "Publication:Selig_2005_WRO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/Selig_2005_WRO-Wald_in_Ogre:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Treelumination"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/Selig_2005_WRO/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-abs",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Abstraction Techniques for Illustrative Visualization",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-11-17",
        "event": "VMV 2005: Vision, Modeling and Visualization 2005",
        "location": "Erlangen, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-abs/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-dia",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Diagnostic Relevant Visualization of Vascular Structures ",
        "date": "2005",
        "abstract": "Traditional volume visualization techniques sometimes provide incomplete clinical\r\ninformation needed for applications in medical visualization. In the area of vascular visualization\r\nimportant features such as the lumen of a diseased vessel segment may not be\r\nvisible. One way to display vascular structures for diagnostic purposes is to generate longitudinal\r\ncross-sections in order to show their lumen, wall, and surrounding tissue in a curved\r\nplane. Curved planar reformation (CPR) has proven to be an acceptable practical solution.\r\nWe discuss four different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we investigate\r\nthree different methods for displaying vascular trees: Multi-path projected CPR, multi-path\r\nstretched CPR, and untangled CPR. The principle concept of each method is discussed and\r\ndetailed information for the realization is given. In addition the properties, advantages and\r\ndisadvantages of each method are summarized.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 511,
            "image_height": 490,
            "name": "groeller-2005-dia-image.jpg",
            "type": "image/jpeg",
            "size": 654235,
            "path": "Publication:groeller-2005-dia",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            165,
            166
        ],
        "booktitle": "Scientific Visualization: The Visual Extraction of Knowledge from Data",
        "editor": "G.-P. Bonneau, T. Ertl, G.M. Nielson",
        "isbn": "3540260668",
        "pages_from": "207",
        "pages_to": "228",
        "publisher": "Springer Verlag, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 511,
                "image_height": 490,
                "name": "groeller-2005-dia-image.jpg",
                "type": "image/jpeg",
                "size": 654235,
                "path": "Publication:groeller-2005-dia",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-2005-dia-PDF.pdf",
                "type": "application/pdf",
                "size": 3000619,
                "path": "Publication:groeller-2005-dia",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/groeller-2005-dia-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-dia/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-foc",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Focus+Context Visualization of Features and Topological Structures",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-09-30",
        "event": "Workshop Topology-Based Methods in Visualization",
        "location": "Budmerice, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-foc/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-imp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Image Generation in Scientific Visualization",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-08-18",
        "event": "Informatikkolloquium der Universität Bergen",
        "location": "Department of Informatics, University of Bergen, Norway",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-imp/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-impo",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Image Generation in Medical Visualization",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-09-12",
        "event": "Informatikkolloquium der TU Delft",
        "location": "Faculty of Electrical Engineering, Mathematics and Computer Sciences, TU Delft, Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-impo/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-proc",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Proceedings IEEE Visualization 2005",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            594,
            166,
            595
        ],
        "isbn": "0780394623",
        "pages": "??",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-proc/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-sma",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Visibility in Illustrative Visualization",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-10-12",
        "event": "Biomedizinisches Kolloquium der TU Eindhoven",
        "location": "Department of Biomedical Engineering, Technische Universiteit Eindhoven, Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-sma/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-smar",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart Visibility in Illustrative Visualization",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-10-21",
        "event": "Informatikkolloquium der Simon Fraser Universität",
        "location": "Simon Fraser University, Vancouver, Canada",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-smar/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2005-volg",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Graphics 2005",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            590,
            591,
            592
        ],
        "isbn": "3905673266",
        "pages": "243",
        "publisher": "Eurographics Association",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/groeller-2005-volg/",
        "__class": "Publication"
    },
    {
        "id": "gzotti-2005-krU",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Die Untersuchung keltisch-römischer Umgangstempel auf astronomische Orientierung",
        "date": "2005",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 551,
            "image_height": 553,
            "name": "gzotti-2005-krU-.png",
            "type": "image/png",
            "size": 79927,
            "path": "Publication:gzotti-2005-krU",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/gzotti-2005-krU/gzotti-2005-krU-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/gzotti-2005-krU/gzotti-2005-krU-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "booktitle": "Der norisch-römische Kultplatz am Frauenberg",
        "editor": "St. Groh, H. Sedlmayer",
        "isbn": "2907303945",
        "journal": "Protohistoire europÃ©enne: Der norisch-römische Kultplatz am Frauenberg",
        "pages_from": "158",
        "pages_to": "168",
        "publisher": "éditions monique mergoil",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 551,
                "image_height": 553,
                "name": "gzotti-2005-krU-.png",
                "type": "image/png",
                "size": 79927,
                "path": "Publication:gzotti-2005-krU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/gzotti-2005-krU/gzotti-2005-krU-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/gzotti-2005-krU/gzotti-2005-krU-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/gzotti-2005-krU/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2005-MND",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multiscale Nodule Detection in CT Data",
        "date": "2005",
        "abstract": "In this paper I am describing a computer aided detection (CAD) method, which is able to detect lung nodules in medical data sets. The data sets are obtained by a high resolution computer tomography.\r\nThe goal of the nodule detection is to gain an early nodule detection which increases the probability of survival. Introduced method is able to detect nodules of variable size and variable shape. It is also rotation-invariant. The detection algorithm is based on the Hessian matrix. This matrix consists of the second-order partial derivatives. The eigenvalues of this matrix are used to determine the probability of\r\na nodule-like shape. This method is well adapted to detect nodules of a size larger than 4 mm diameter. Tests with synthetic nodule data sets and some real data sets provided a high probability of true nodule detection with a very low number of false positives per data set.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "picture",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 484,
            "image_height": 480,
            "name": "haidacher-2005-MND-picture.jpg",
            "type": "image/jpeg",
            "size": 71536,
            "path": "Publication:haidacher-2005-MND",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-picture.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-picture:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597
        ],
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2005-MND-paper.pdf",
                "type": "application/pdf",
                "size": 741485,
                "path": "Publication:haidacher-2005-MND",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "picture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 484,
                "image_height": 480,
                "name": "haidacher-2005-MND-picture.jpg",
                "type": "image/jpeg",
                "size": 71536,
                "path": "Publication:haidacher-2005-MND",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-picture.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/haidacher-2005-MND-picture:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/haidacher-2005-MND/",
        "__class": "Publication"
    },
    {
        "id": "hartmann-2005-adv",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Advanced Data Structure for Large Medical Datasets",
        "date": "2005",
        "abstract": "The size of volumetric data acquired from computed tomography scanning\r\ndevices is steadily increasing, which often makes it impractical to store the\r\nwhole data in physical memory. Therefore, e±cient data structures are re-\r\nquired. In this thesis several data structures are examined in respect to\r\napplication for computed tomography-angiography. In particular, memory\r\nconsumption and performance of visualization are addressed. Additionally,\r\na data structure based on adaptive meshes is implemented. This data struc-\r\nture can leverage resources where they are needed. In order to generate the\r\nadaptive meshes, two di®erent algorithms are explained and compared to\r\neach other. The most common visualization techniques for angiography are\r\ndescribed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 98,
            "image_height": 100,
            "name": "hartmann-2005-adv-image.jpg",
            "type": "image/jpeg",
            "size": 7677,
            "path": "Publication:hartmann-2005-adv",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            489
        ],
        "supervisor": [
            1334,
            160,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 98,
                "image_height": 100,
                "name": "hartmann-2005-adv-image.jpg",
                "type": "image/jpeg",
                "size": 7677,
                "path": "Publication:hartmann-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "hartmann-2005-adv-PDF.pdf",
                "type": "application/pdf",
                "size": 1883058,
                "path": "Publication:hartmann-2005-adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/hartmann-2005-adv-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/hartmann-2005-adv/",
        "__class": "Publication"
    },
    {
        "id": "havran-2005-egsr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray Maps for Global Illumination",
        "date": "2005",
        "abstract": "We describe a novel data structure for representing light transport called ray map. The ray map extends the concept\nof photon maps: it stores not only photon impacts but the whole photon paths. We demonstrate the utility of ray\nmaps for global illumination by eliminating boundary bias and reducing topological bias of density estimation in\nglobal illumination. Thanks to the elimination of boundary bias we could use ray maps for fast direct visualization\nwith the image quality being close to that obtained by the expensive nal gathering step. We describe in detail our\nimplementation of the ray map using a lazily constructed kD-tree. We also present several optimizations bringing\nthe ray map query performance close to the performance of the photon map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 685,
            "image_height": 738,
            "name": "havran-2005-egsr-image.jpg",
            "type": "image/jpeg",
            "size": 67354,
            "path": "Publication:havran-2005-egsr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            198,
            576,
            312
        ],
        "booktitle": "Eurographics Symposium on Rendering",
        "pages_from": "43",
        "pages_to": "54",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 685,
                "image_height": 738,
                "name": "havran-2005-egsr-image.jpg",
                "type": "image/jpeg",
                "size": 67354,
                "path": "Publication:havran-2005-egsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "havran-2005-egsr-Paper.pdf",
                "type": "application/pdf",
                "size": 4262551,
                "path": "Publication:havran-2005-egsr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/havran-2005-egsr-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "GameTools"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2005/havran-2005-egsr/",
        "__class": "Publication"
    },
    {
        "id": "Neum04Hig",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-resolution Depth and Reflectance Map Estimation in Underwater Imaging",
        "date": "2004-12",
        "abstract": "This paper describes \r\na novel technique to simultaneously determining the threedimensional\r\ngeometry and reflectance map of a scene in underwater\r\nimaging. Underwater light is affected\r\nby an exponential wavelenght-dependent absorption\r\nand undesired scattering effects. These special conditions\r\nmake image and video processing a difficult task in participating\r\nmedia. It is shown how to use this disturbing\r\nabsorption effect to find a new way to accurately estimate\r\nthe scene depth-map and multispectral reflectivities.\r\nThe process requires the acquisition of a multispectral image\r\nof the underwater scenario with the appropriate camera\r\nand lightsource arrangement. The algorithm has been tested\r\non several synthetic images for different noise levels. The\r\npromising results show that the technique provides accurate\r\nand stable results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            460,
            461,
            232
        ],
        "number": "TR-186-2-04-14",
        "research_areas": [],
        "keywords": [
            "Underwater Imaging",
            "Depth Map"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04Hig/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-2004-HOB",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Human Observation Based Generalized Gamma Functions",
        "date": "2004-12",
        "abstract": "This paper describes an accurate method to obtain the\nTone Reproduction Curve (TRC) of display devices without using\na measurement device. It is an improvement of an existing technique\nbased on human observation, solving its problem of numerical instability\nand resulting in functions in log--log scale which correspond better\nto the nature of display devices.\nWe demonstrate the effiency of our technique on different monitor\ntechnologies, comparing it with direct measurements using a\nspectrophotometer.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Neumann-2004-HOB-.pdf",
            "type": "application/pdf",
            "size": 205123,
            "path": "Publication:Neumann-2004-HOB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            232,
            191,
            177,
            222,
            190
        ],
        "number": "TR-186-2-04-13",
        "research_areas": [],
        "keywords": [
            "Display Measurement",
            "Human Visual System",
            "Spatial Vision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-2004-HOB-.pdf",
                "type": "application/pdf",
                "size": 205123,
                "path": "Publication:Neumann-2004-HOB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/Neumann-2004-HOB-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neumann-2004-HOB/",
        "__class": "Publication"
    },
    {
        "id": "Artner-2004-Hig",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Volume Rendering with Resampling in the Frequency Domain",
        "date": "2004-12",
        "abstract": "This work introduces a volume rendering technique that is conceptually based on the shear-warp factorization.\r\nWe propose to perform the shear transformation entirely in the frequency domain. Unlike the standard shear-warp\r\nalgorithm, we allow for arbitrary sampling distances along the viewing rays, independent of the view direction.\r\nThe accurate scaling of the volume slices is achieved by using the zero padding interpolation property. Finally, a high quality gradient estimation scheme is presented which uses the derivative theorem of the Fourier transform.\r\nExperimental results have shown that the presented method outperforms established algorithms in the quality of\r\nthe produced images. If the data is sampled above the Nyquist rate the presented method is capable of a perfect\r\nreconstruction of the original function.",
        "authors_et_al": false,
        "substitute": "Artner-2005-Hig",
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 99,
            "image_height": 130,
            "name": "Artner-2004-Hig-image.jpg",
            "type": "image/jpeg",
            "size": 3346,
            "path": "Publication:Artner-2004-Hig",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            456,
            196,
            171,
            166
        ],
        "number": "TR-186-2-04-12",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artner-2004-Hig-.pdf",
                "type": "application/pdf",
                "size": 10664481,
                "path": "Publication:Artner-2004-Hig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 99,
                "image_height": 130,
                "name": "Artner-2004-Hig-image.jpg",
                "type": "image/jpeg",
                "size": 3346,
                "path": "Publication:Artner-2004-Hig",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/Artner-2004-Hig-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artner-2004-Hig/",
        "__class": "Publication"
    },
    {
        "id": "knapp_michael_2004_MAS",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Memory Allocation Strategies for Large Volumetric Data-Sets",
        "date": "2004-12",
        "abstract": "Since the development of medical three dimensional imaging devices\r\nin the 1970s, volumetric data processing has tremendously gained in\r\nimportance. With the growing size of the data-sets, exhausting the\r\ncapabilities of the hardware of its time, methods for efficient\r\nvolumetric data processing have been always a hot topic. In this\r\ndiploma thesis two approaches for processing large volumetric\r\ndata-sets are presented. Both approaches utilize a block volume for\r\nstoring the data. Further data compression and out-of-core\r\nprocessing are incorporated. Efficiency is achieved by processing\r\nonly the required portion of data while omitting the non-related\r\ndata having no effect on the intended result of the algorithm. This\r\nis supported by utilization of the knowledge about access patterns\r\nof the algorithm. Also methods for optimizing the efficiency by\r\nexploiting architectural properties of the computer hardware are\r\npresented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1815,
            "image_height": 1368,
            "name": "knapp_michael_2004_MAS-image.jpg",
            "type": "image/jpeg",
            "size": 264037,
            "path": "Publication:knapp_michael_2004_MAS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            172
        ],
        "supervisor": [
            160
        ],
        "research_areas": [],
        "keywords": [
            "volume processing",
            "large data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1815,
                "image_height": 1368,
                "name": "knapp_michael_2004_MAS-image.jpg",
                "type": "image/jpeg",
                "size": 264037,
                "path": "Publication:knapp_michael_2004_MAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "knapp_michael_2004_MAS-Thesis.pdf",
                "type": "application/pdf",
                "size": 8551553,
                "path": "Publication:knapp_michael_2004_MAS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/knapp_michael_2004_MAS-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp_michael_2004_MAS/",
        "__class": "Publication"
    },
    {
        "id": "facial2004",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Facial Reconstruction Surgery",
        "date": "2004-10-15",
        "abstract": "Further information can be found on: http://moderntimes.orf.at/web/Beitragneu/s2004_10_15/beitrag2.html.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "facial2004-image.jpg",
            "type": "image/jpeg",
            "size": 32806,
            "path": "Publication:facial2004",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            161,
            160
        ],
        "channel": "ORF2",
        "duration": "4:51",
        "program": "Modern Times",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "High Quality 75.5 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "facial2004-High Quality 75.5 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 79152128,
                "path": "Publication:facial2004",
                "preview_name": "facial2004-High Quality 75.5 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-High Quality 75.5 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-High Quality 75.5 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-High Quality 75.5 MB (DivX Codec):video.mp4"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "facial2004-image.jpg",
                "type": "image/jpeg",
                "size": 32806,
                "path": "Publication:facial2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Low Quality 13.8 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "facial2004-Low Quality 13.8 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 14489088,
                "path": "Publication:facial2004",
                "preview_name": "facial2004-Low Quality 13.8 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Low Quality 13.8 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Low Quality 13.8 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Low Quality 13.8 MB (DivX Codec):video.mp4"
            },
            {
                "description": "",
                "filetitle": "Visualization",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 720,
                "preview_image_height": 576,
                "name": "facial2004-Visualization.avi",
                "type": "video/x-msvideo",
                "size": 4709376,
                "path": "Publication:facial2004",
                "preview_name": "facial2004-Visualization:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 14551,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/facial2004-Visualization:video.mp4"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/facial2004/",
        "__class": "Publication"
    },
    {
        "id": "doleisch-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analysis of Complex Simulation Data using Multiple Heterogenous Views",
        "date": "2004-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            212
        ],
        "date_end": "2004-10",
        "date_start": "2000-09",
        "supervisor": [
            166,
            176
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "doleisch-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 50612099,
                "path": "Publication:doleisch-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/doleisch-thesis/doleisch-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/doleisch-thesis/doleisch-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/doleisch-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Mlejnek-2004-Int",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Thickness Visualization of Articular Cartilage",
        "date": "2004-10",
        "abstract": "This paper describes a method to visualize the thickness of curved\r\nthin objects. Given the MRI volume data of articular cartilage,\r\nmedical doctors investigate pathological changes of the thickness.\r\nSince the tissue is very thin, it is impossible to reliably map\r\nthe thickness information by direct volume rendering. Our idea is\r\nbased on unfolding of such structures preserving their thickness.\r\nThis allows to perform anisotropic geometrical operations (e.g.,\r\nscaling the thickness). However, flattening of a curved structure\r\nimplies a distortion of its surface. The distortion problem is\r\nalleviated through a focus-and-context minimization approach.\r\nDistortion is smallest close to a focal point which can be\r\ninteractively selected by the user.",
        "authors_et_al": false,
        "substitute": "Mlejnek-2004-ITVAC",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            179,
            459,
            166
        ],
        "number": "TR-186-2-04-11",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "applications of visualization",
            "visualization in medicine"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mlejnek-2004-Int-paper.pdf",
                "type": "application/pdf",
                "size": 2719968,
                "path": "Publication:Mlejnek-2004-Int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/Mlejnek-2004-Int-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/Mlejnek-2004-Int-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-Int/",
        "__class": "Publication"
    },
    {
        "id": "Mlejnek-2004-ITVAC",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Thickness Visualization of Articular Cartilage",
        "date": "2004-10",
        "abstract": "This paper describes a method to visualize the thickness of curved\r\nthin objects. Given the MRI volume data of articular cartilage,\r\nmedical doctors investigate pathological changes of the thickness.\r\nSince the tissue is very thin, it is impossible to reliably map\r\nthe thickness information by direct volume rendering. Our idea is\r\nbased on unfolding of such structures preserving their thickness.\r\nThis allows to perform anisotropic geometrical operations (e.g.,\r\nscaling the thickness). However, flattening of a curved structure\r\nimplies a distortion of its surface. The distortion problem is\r\nalleviated through a focus-and-context minimization approach.\r\nDistortion is smallest close to a focal point which can be\r\ninteractively selected by the user.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 462,
            "image_height": 209,
            "name": "Mlejnek-2004-ITVAC-image.jpg",
            "type": "image/jpeg",
            "size": 29611,
            "path": "Publication:Mlejnek-2004-ITVAC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            179,
            459,
            166
        ],
        "booktitle": "Proceedings of  Visualization 2004",
        "pages_from": "521",
        "pages_to": "527",
        "research_areas": [],
        "keywords": [
            "visualization in medicine",
            "applications of visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 462,
                "image_height": 209,
                "name": "Mlejnek-2004-ITVAC-image.jpg",
                "type": "image/jpeg",
                "size": 29611,
                "path": "Publication:Mlejnek-2004-ITVAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mlejnek-2004-ITVAC-paper.pdf",
                "type": "application/pdf",
                "size": 3435318,
                "path": "Publication:Mlejnek-2004-ITVAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/Mlejnek-2004-ITVAC-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "COMRADE"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/",
        "__class": "Publication"
    },
    {
        "id": "grimm-2004-arefined",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Refined Data Addressing and Processing Scheme to Accelerate Volume Raycasting",
        "date": "2004-10",
        "abstract": "Most volume rendering systems based on CPU volume raycasting still suffer from inefficient CPU utilization and high memory usage. To target these issues we present a new technique for efficient data addressing. Furthermore, we introduce a new processing scheme for volume raycasting which exploits thread-level parallelism—a technology now supported by commodity computer architectures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 274,
            "name": "grimm-2004-arefined-image.jpg",
            "type": "image/jpeg",
            "size": 24183,
            "path": "Publication:grimm-2004-arefined",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "booktitle": "Computer & Graphics, Vol. 28 (5)",
        "isbn": "0097-8493",
        "issn": "0097-8493",
        "journal": "Computers & Graphics",
        "number": "5",
        "pages_from": "719",
        "pages_to": "729",
        "volume": "28",
        "research_areas": [],
        "keywords": [
            "Volume Raycasting, Bricking, Parallel Co"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 274,
                "name": "grimm-2004-arefined-image.jpg",
                "type": "image/jpeg",
                "size": 24183,
                "path": "Publication:grimm-2004-arefined",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grimm-2004-arefined-Paper.pdf",
                "type": "application/pdf",
                "size": 292031,
                "path": "Publication:grimm-2004-arefined",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/grimm-2004-arefined-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-arefined/",
        "__class": "Publication"
    },
    {
        "id": "GRIMM-2004-FDMX-P",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Flexible Direct Multi-Volume Rendering in Interactive Scenes",
        "date": "2004-10",
        "abstract": "In this paper we describe methods to efficiently visualize multiple ntersecting volumetric objects. We introduce the concept of V-Objects. V-Objects represent abstract properties of an object connected to a volumetric data source. We present a method to perform direct volume rendering of a scene comprised of an arbitrary number of possibly intersecting V-Objects. The idea of our approach is to distinguish between regions of intersection, which need costly multi-volume processing, and regions containing only one V-Object, which can be processed using a highly efficient brick-wise volume traversal scheme. Using this method, we achieve significant performance gains for multi-volume rendering. We show possible medical applications, such as surgical planning, diagnosis, and education.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "GRIMM-2004-FDMX-P-image.jpg",
            "type": "image/jpeg",
            "size": 30770,
            "path": "Publication:GRIMM-2004-FDMX-P",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "booktitle": "Vision, Modeling, and Visualization (VMV)",
        "location": "Stanford, USA",
        "pages_from": "386",
        "pages_to": "379",
        "research_areas": [],
        "keywords": [
            "multi volume rendering",
            "medical visualization",
            "volume raycasting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "GRIMM-2004-FDMX-P-image.jpg",
                "type": "image/jpeg",
                "size": 30770,
                "path": "Publication:GRIMM-2004-FDMX-P",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRIMM-2004-FDMX-P-Paper.pdf",
                "type": "application/pdf",
                "size": 1785611,
                "path": "Publication:GRIMM-2004-FDMX-P",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/GRIMM-2004-FDMX-P-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX-P/",
        "__class": "Publication"
    },
    {
        "id": "grimm-2004-memory",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Memory Efficient Acceleration Structures and Techniques for CPU-based Volume Raycasting of Large Data",
        "date": "2004-10",
        "abstract": "Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as computed tomographic (CT) angiography run-offs (512x512x1202) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require just a small extra storage of approximately 10%. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "grimm-2004-memory-image.jpg",
            "type": "image/jpeg",
            "size": 54582,
            "path": "Publication:grimm-2004-memory",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "booktitle": "Proceedings IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics",
        "editor": "D. Silver, T. Ertl, C. Silva",
        "isbn": "0-7803-8781-3",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Three-Dimensional Graphics and Realism,"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "grimm-2004-memory-image.jpg",
                "type": "image/jpeg",
                "size": 54582,
                "path": "Publication:grimm-2004-memory",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grimm-2004-memory-Paper.pdf",
                "type": "application/pdf",
                "size": 582605,
                "path": "Publication:grimm-2004-memory",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/grimm-2004-memory-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-memory/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2004-ImpX2",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Volume Rendering",
        "date": "2004-10",
        "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views,\r\nwhich – depending on the viewpoint – remove or suppress less important\r\nparts of a scene to reveal more important underlying information.\r\nWe automatize and apply this idea to volumetric data.\r\nEach part of the volumetric data is assigned an object importance\r\nwhich encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in those\r\nareas where no occlusion occurs. Thus the objects of interest are\r\nclearly visible. For each object several representations, i.e., levels of\r\nsparseness, are specified. The display of an individual object may\r\nincorporate different levels of sparseness. The goal is to emphasize\r\nimportant structures and to maximize the information content in the\r\nfinal image.\r\nThis paper also discusses several possible schemes for level of\r\nsparseness specification and different ways how object importance\r\ncan be composited to determine the final appearance of a particular\r\nobject.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 250,
            "image_height": 244,
            "name": "Viola-2004-ImpX2-image.jpg",
            "type": "image/jpeg",
            "size": 12593,
            "path": "Publication:Viola-2004-ImpX2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "booktitle": "Proceedings of IEEE Visualization 2004",
        "isbn": "0780387880",
        "pages_from": "139",
        "pages_to": "145",
        "publisher": "H. Rushmeier, G. Turk, J. van Wijk",
        "research_areas": [],
        "keywords": [
            "view-dependent visualization",
            "non-photorealistic techniques",
            "level-of-detail techniques",
            "focus+context techniques",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 250,
                "image_height": 244,
                "name": "Viola-2004-ImpX2-image.jpg",
                "type": "image/jpeg",
                "size": 12593,
                "path": "Publication:Viola-2004-ImpX2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2004-ImpX2-Paper.pdf",
                "type": "application/pdf",
                "size": 10556380,
                "path": "Publication:Viola-2004-ImpX2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/Viola-2004-ImpX2-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/",
        "__class": "Publication"
    },
    {
        "id": "LaCruz2004",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-linear Model Fitting to Parameterize Diseased Blood Vessels",
        "date": "2004-10",
        "abstract": "Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of normal and diseased blood vessels. The objective of this research is to estimate the dimensions of lower extremity arteries, imaged by computed tomography (CT). The vessel is modeled using an elliptical or cylindrical structure with specific dimensions, orientation and blood vessel mean density. The model separates two homogeneous regions: Its inner side represents a region of density for vessels, and its outer side a region for background. Taking into account the point spread function (PSF) of a CT scanner, a function is modeled with a Gaussian kernel, in order to smooth the vessel boundary in the model. A new strategy for vessel parameter estimation is presented. It stems from vessel model and model parameter optimization by a nonlinear optimization procedure (the Levenberg-Marquardt technique). The method provides center location, diameter and orientation of the vessel as well as blood and background mean density values. The method is tested on synthetic data and real patient data with encouraging results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 600,
            "name": "LaCruz2004-image.jpg",
            "type": "image/jpeg",
            "size": 30878,
            "path": "Publication:LaCruz2004",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168,
            167,
            169,
            170,
            166,
            164
        ],
        "booktitle": "IEEE Visualization 2004",
        "editor": "IEEE",
        "isbn": "0-7803-8788-0",
        "location": "Austin, Texas",
        "organization": "Institute of Computer Graphics and Algorithms, Vienna University of Technology",
        "pages_from": "400",
        "pages_to": "393",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Visualiyation",
            "Segmentation",
            "Blood Vessel Detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "alacruzVIS2004",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LaCruz2004-alacruzVIS2004.pdf",
                "type": "application/pdf",
                "size": 1806922,
                "path": "Publication:LaCruz2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-alacruzVIS2004.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-alacruzVIS2004:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 600,
                "name": "LaCruz2004-image.jpg",
                "type": "image/jpeg",
                "size": 30878,
                "path": "Publication:LaCruz2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/LaCruz2004-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz2004/",
        "__class": "Publication"
    },
    {
        "id": "StrakaVis2004",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The VesselGlyph: Focus & Context Visualization in CT-Angiography",
        "date": "2004-10",
        "abstract": "Reliable and complete blood-vessel segmentation is still a challenging problem. This is especially true in the presence of morphologic changes resulting from atherosclerotic diseases. In this paper we take advantage of partially segmented data with approximately identified vessel centerlines to comprehensively visualize the diseased peripheral arterial tree. We introduce the VesselGlyph as an abstract notation for novel focus & context visualization techniques of tubular structures such as contrast-medium enhanced arteries in CT-Angiography (CT-A). The proposed techniques combine direct volume rendering (DVR) and curved planar reformation (CPR) within a single image. The VesselGlyph consists of several regions where different rendering methods are used. Region type, the used visualization method and region parameters depend on the distance from the vessel centerline and on viewing parameters as well. By selecting proper rendering techniques for different regions, vessels are depicted in a naturally looking and undistorted anatomic context. In this paper we furthermore present a way how to implement the proposed techniques in software and by means of modern 3D graphics accelerators.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 618,
            "image_height": 750,
            "name": "StrakaVis2004-image.jpg",
            "type": "image/jpeg",
            "size": 91043,
            "path": "Publication:StrakaVis2004",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            347,
            168,
            169,
            170,
            166,
            164
        ],
        "booktitle": "IEEE Visualization 2004",
        "editor": "IEEE",
        "location": "Austin, Texas",
        "organization": "Commision for Scientific Visualization, Austrian",
        "pages_from": "392",
        "pages_to": "385",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "focus & Context Technique",
            "Direct Volume Rendering",
            "Curved Planar Reformation",
            "Vessel Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "StrakaVis2004-.pdf",
                "type": "application/pdf",
                "size": 1060701,
                "path": "Publication:StrakaVis2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 618,
                "image_height": 750,
                "name": "StrakaVis2004-image.jpg",
                "type": "image/jpeg",
                "size": 91043,
                "path": "Publication:StrakaVis2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/StrakaVis2004-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/StrakaVis2004/",
        "__class": "Publication"
    },
    {
        "id": "grimm-2004-volume",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data",
        "date": "2004-09",
        "abstract": "We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots\r\nare a point-based representation of volumetric data. An individual Vot is specified by the coefficients of a Taylor\r\nseries expansion, i.e. the function value and higher order derivatives at a specific point. A Vot does not only\r\nrepresent a single sample point, it represents the underlying function within a region. With the Vots representation\r\nwe have a more intuitive and high-level description of the volume data. This allows direct analytical examination\r\nand manipulation of volumetric datasets. Vots enable the representation of the underlying scalar function with\r\nspecified precision. User-centric importance sampling is also possible, i.e., unimportant volume parts are still\r\npresent but represented with just very few Vots. As proof of concept, we show Maximum Intensity Projection based\r\non Vots.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "grimm-2004-volume-image.jpg",
            "type": "image/jpeg",
            "size": 23114,
            "path": "Publication:grimm-2004-volume",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "number": "3",
        "pages_from": "668",
        "pages_to": "661",
        "volume": "23",
        "research_areas": [],
        "keywords": [
            "Graphics Data Structures and Data Types"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "grimm-2004-volume-image.jpg",
                "type": "image/jpeg",
                "size": 23114,
                "path": "Publication:grimm-2004-volume",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "grimm-2004-volume-Paper.pdf",
                "type": "application/pdf",
                "size": 2257047,
                "path": "Publication:grimm-2004-volume",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/grimm-2004-volume-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/grimm-2004-volume/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2004-CHC",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherent Hierarchical Culling: Hardware Occlusion Queries Made Useful",
        "date": "2004-09",
        "abstract": "We present a simple but powerful algorithm for optimizing the usage of hardware occlusion queries in arbitrary complex scenes. Our method minimizes the number of issued queries and reduces the delays due to the latency of query results. We reuse the results of the occlusion queries from the last frame in order to initiate and schedule the queries in the next frame. This is done by processing nodes of a spatial hierarchy in front-to-back order, interleaving occlusion queries with the rendering of certain previously visible nodes. The proposed scheduling of the queries makes use of spatial and temporal coherence of visibility. Despite its simplicity, the algorithm achieves good culling efficiency for scenes of various characteristics. The implementation of the algorithm is straightforward, and it can be easily integrated in existing real-time rendering packages using various spatial data structures.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 160,
            "image_height": 96,
            "name": "Bittner-2004-CHC-image.jpg",
            "type": "image/jpeg",
            "size": 7299,
            "path": "Publication:Bittner-2004-CHC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            193,
            451,
            190
        ],
        "date_from": "2004-08-30",
        "date_to": "2004-09-03",
        "event": "EUROGRAPHICS 2004",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            193
        ],
        "location": "Grenoble, France",
        "note": "Proceedings EUROGRAPHICS 2004",
        "number": "3",
        "pages_from": "615",
        "pages_to": "624",
        "volume": "23",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "occlusion query",
            "visibility",
            "real-time rendering",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 160,
                "image_height": 96,
                "name": "Bittner-2004-CHC-image.jpg",
                "type": "image/jpeg",
                "size": 7299,
                "path": "Publication:Bittner-2004-CHC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bittner-2004-CHC-Paper.pdf",
                "type": "application/pdf",
                "size": 1105728,
                "path": "Publication:Bittner-2004-CHC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/Bittner-2004-CHC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Bittner-2004-CHC/",
        "__class": "Publication"
    },
    {
        "id": "konyha-2004-ela",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Elastic Body Dynamics for Automotive Engine Simulations",
        "date": "2004-09",
        "abstract": "Simulation of engine dynamics is a well established field of\r\nwork in the automotive industry. We have worked closely\r\nwith one of the companies developing industry-leading\r\nsoftware for dynamic simulation of cranktrains to improve\r\nthe model creation in their product. We have extended the\r\nmodeler with a 3D preview of the engine which enables\r\nusers to view a more direct representation of the design,\r\nthereby improving the pace and efficiency of their work.\r\nThe data sets resulting from the simulation are vast. Previously,\r\nanalysis could only be performed using 2D charts\r\nonly. As a result of our co-operation it is now possible to\r\ninspect the simulation results in an interactive 3D visualization\r\nenvionment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 236,
            "image_height": 178,
            "name": "konyha-2004-ela-jpg.jpg",
            "type": "image/jpeg",
            "size": 30432,
            "path": "Publication:konyha-2004-ela",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756,
            580,
            235,
            585
        ],
        "booktitle": "Proceedings of IASTED Visualization, Imaging, and Image Processing, VIIP 2004",
        "date_from": "2004-09-06",
        "date_to": "2004-09-08",
        "editor": "Prof. Juan J. Villanieva",
        "isbn": "0-88986-454-3",
        "lecturer": [
            756
        ],
        "location": "Marbella, Spain",
        "publisher": "ACTA Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 236,
                "image_height": 178,
                "name": "konyha-2004-ela-jpg.jpg",
                "type": "image/jpeg",
                "size": 30432,
                "path": "Publication:konyha-2004-ela",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "konyha-2004-ela-pdf.pdf",
                "type": "application/pdf",
                "size": 1011361,
                "path": "Publication:konyha-2004-ela",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/konyha-2004-ela-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/konyha-2004-ela/",
        "__class": "Publication"
    },
    {
        "id": "viola-2004-har",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Accelerated Frequency Domain Volume Rendering",
        "date": "2004-09",
        "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other volume rendering techniques.\r\nIn this paper the original FVR algorithm is significantly\r\naccelerated by performing the rendering stage computations\r\non the GPU. The overall hardware-accelerated\r\npipeline is discussed and the changes according to previous\r\nwork are pointed out. The three-dimensional\r\ntransformation into frequency domain is done in a preprocessing\r\nstep.\r\n\r\nIn the rendering step first the projection slice is extracted.\r\nThe pre-computed frequency response of the\r\nthree-dimensional data is stored as a 3D texture. Four\r\ndifferent interpolation schemes for resampling the slice\r\nout of a 3D texture are presented. The resampled slice is\r\nthen transformed back into the spatial domain using the\r\ninverse Fast Fourier or Fast Hartley Transform. The rendering\r\nstep is implemented as a set of shader programs\r\nand is executed on running on programmable graphics\r\nhardware achieving highly interactive framerates.",
        "authors_et_al": false,
        "substitute": "viola-2004-har2",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 200,
            "name": "viola-2004-har-image.jpg",
            "type": "image/jpeg",
            "size": 10116,
            "path": "Publication:viola-2004-har",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "number": "TR-186-2-04-10",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Interpolation",
            "Hardware Acceleration",
            "Fourier Volume Rendering",
            "Fourier Transform",
            "Hartley Transform"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 200,
                "name": "viola-2004-har-image.jpg",
                "type": "image/jpeg",
                "size": 10116,
                "path": "Publication:viola-2004-har",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2004-har-paper.pdf",
                "type": "application/x-empty",
                "size": 0,
                "path": "Publication:viola-2004-har",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/viola-2004-har-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har/",
        "__class": "Publication"
    },
    {
        "id": "viola-2004-har2",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Accelerated Frequency Domain Volume Rendering",
        "date": "2004-09",
        "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other volume rendering techniques.\r\nIn this paper the original FVR algorithm is significantly\r\naccelerated by performing the rendering stage computations\r\non the GPU. The overall hardware-accelerated\r\npipeline is discussed and the changes according to previous\r\nwork are pointed out. The three-dimensional\r\ntransformation into frequency domain is done in a preprocessing\r\nstep.\r\n\r\nIn the rendering step first the projection slice is extracted.\r\nThe pre-computed frequency response of the\r\nthree-dimensional data is stored as a 3D texture. Four\r\ndifferent interpolation schemes for resampling the slice\r\nout of a 3D texture are presented. The resampled slice is\r\nthen transformed back into the spatial domain using the\r\ninverse Fast Fourier or Fast Hartley Transform. The rendering\r\nstep is implemented as a set of shader programs\r\nand is executed on running on programmable graphics\r\nhardware achieving highly interactive framerates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 200,
            "name": "viola-2004-har2-image.jpg",
            "type": "image/jpeg",
            "size": 10116,
            "path": "Publication:viola-2004-har2",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "issn": "1811-8992",
        "journal": "Computer Graphics & Geometry",
        "note": "Internet Journal: http://elibrary.ru/cgg",
        "number": "2",
        "pages_from": "60",
        "pages_to": "79",
        "volume": "6",
        "research_areas": [],
        "keywords": [
            "Fourier Volume Rendering",
            "Hartley Transform",
            "Hardware Acceleration",
            "Interpolation",
            "Fourier Transform"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 200,
                "name": "viola-2004-har2-image.jpg",
                "type": "image/jpeg",
                "size": 10116,
                "path": "Publication:viola-2004-har2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2004-har2-Paper.pdf",
                "type": "application/pdf",
                "size": 1368145,
                "path": "Publication:viola-2004-har2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/viola-2004-har2-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-har2/",
        "__class": "Publication"
    },
    {
        "id": "viola-2004-imp",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Feature Enhancement in Volume Visualization",
        "date": "2004-09",
        "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. Our technique is a generalization of cut-away views, which -- depending on\r\nthe viewpoint or feature -- remove or suppress less important parts of a\r\nscene to reveal more important underlying information. We\r\nautomatize and apply this idea to volumetric data.\r\n\r\nEach part of the volumetric data is assigned an emph{object\r\nimportance} which encodes visibility priority. This property determines which\r\nstructures should be readily discernible and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in\r\nthose areas where no occlusion occurs. Thus the objects of\r\ninterest are clearly visible. For each object several\r\nrepresentations, i.e., emph{levels of sparseness}, are specified.\r\nThe display of an individual object may incorporate different\r\nlevels of sparseness. The goal is to emphasize important\r\nstructures and to maximize the information content in the final\r\nimage.\r\n\r\nThis paper also discusses several possible schemes for emph{level\r\nof sparseness} specification and different ways how emph{object\r\nimportance} can be composited to determine the final appearance of a\r\nparticular object.",
        "authors_et_al": false,
        "substitute": "viola-2005-imp",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 300,
            "image_height": 215,
            "name": "viola-2004-imp-image.jpg",
            "type": "image/jpeg",
            "size": 9923,
            "path": "Publication:viola-2004-imp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "number": "TR-186-2-04-09",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "level-of-detail techniques",
            "focus+context techniques",
            "volume rendering",
            "view-dependent visualization",
            "non-photorealistic techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 300,
                "image_height": 215,
                "name": "viola-2004-imp-image.jpg",
                "type": "image/jpeg",
                "size": 9923,
                "path": "Publication:viola-2004-imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2004-imp-paper.pdf",
                "type": "application/pdf",
                "size": 7931796,
                "path": "Publication:viola-2004-imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/viola-2004-imp-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-imp/",
        "__class": "Publication"
    },
    {
        "id": "binder-2004-supp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Supporting Configurability in a Tangibly Augmented Environment for Design Students",
        "date": "2004-07",
        "abstract": "In many environments, the landscape of space and artefacts is evolving and changing with the tasks at hand. Integrating digital media and computation in these environments has to take into account the fact that people will configure space functions and tools according to the situation, organising use in unexpected ways. In this article, we present and discuss how the issue of configurability is dealt with, in a series of field trials with design students. The aim of these trials was to construct, for architecture and interaction design students, a mixed-media environment for inspirational learning. The results include physical infrastructure in space and in furniture as integral parts of the interaction technology and the creation of composite representations called ldquomixed objectslsquorsquo, which blend digital and non-digital media in one design artefact. Configurability has to be supported at different levels (infrastructures, artefacts, functions) and across the physical and digital realms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 349,
            "image_height": 264,
            "name": "binder-2004-supp-jpg.jpg",
            "type": "image/jpeg",
            "size": 31529,
            "path": "Publication:binder-2004-supp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            638,
            639,
            249,
            640,
            235,
            26,
            586
        ],
        "issn": "1617-4909",
        "journal": "Personal and Ubiquitous Computing",
        "number": "5",
        "pages_from": "310",
        "pages_to": "325",
        "volume": "8",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 349,
                "image_height": 264,
                "name": "binder-2004-supp-jpg.jpg",
                "type": "image/jpeg",
                "size": 31529,
                "path": "Publication:binder-2004-supp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "binder-2004-supp-pdf.pdf",
                "type": "application/pdf",
                "size": 628015,
                "path": "Publication:binder-2004-supp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/binder-2004-supp-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/binder-2004-supp/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-2004-AMS",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Analytical Model for Skylight Polarisation",
        "date": "2004-06",
        "abstract": "Under certain circumstances the polarisation state of the illumination can have a significant influence on the appearance of scenes; outdoor scenes with specular surfaces -- such as water bodies or windows -- under clear, blue skies are good examples of such environments. In cases like that it can be essential to use a polarising renderer if a true prediction of nature is intended, but so far no polarising skylight models have been presented.\n  \nThis paper presents a plausible analytical model for the polarisation of the light emitted from a clear sky. Our approach is based on a suitable combination of several components with well-known characteristics, and yields acceptable results in considerably less time than an exhaustive simulation of the underlying atmospheric scattering phenomena would require.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 480,
            "image_height": 640,
            "name": "Wilkie-2004-AMS-image.jpg",
            "type": "image/jpeg",
            "size": 231746,
            "path": "Publication:Wilkie-2004-AMS",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            225,
            222,
            190
        ],
        "booktitle": "Proceedings of the Eurographics Symposium on Rendering",
        "editor": "Alexander Keller and Henrik Wann Jensen ",
        "isbn": "3-905673-12-6",
        "lecturer": [
            192
        ],
        "pages_from": "387",
        "pages_to": "399",
        "publisher": "?",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "skylight rendering",
            "polarisation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wilkie-2004-AMS-.pdf",
                "type": "application/pdf",
                "size": 8088113,
                "path": "Publication:Wilkie-2004-AMS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 480,
                "image_height": 640,
                "name": "Wilkie-2004-AMS-image.jpg",
                "type": "image/jpeg",
                "size": 231746,
                "path": "Publication:Wilkie-2004-AMS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/Wilkie-2004-AMS-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "Skydome"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wilkie-2004-AMS/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2004-LSPM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Light Space Perspective Shadow Maps",
        "date": "2004-06",
        "abstract": "In this paper, we present a new shadow mapping technique that improves the quality of perspective and uniform shadow maps. Our technique uses a perspective transform specified in light space which allows treating all lights as directional lights and does not change the direction of the light sources. This gives all the benefits of the perspective mapping but avoids the problems inherent in perspective shadow mapping like singularities in post-perspective space, missed shadow casters etc. Furthermore, we show that both uniform and perspective shadow maps distribute the perspective aliasing error that occurs in shadow mapping unequally over the available z-range. We therefore propose a transform that equalizes this error and gives equally pleasing results for near and far viewing distances. Our method is simple to implement, requires no scene analysis and is therefore as fast as uniform shadow mapping.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 928,
            "image_height": 464,
            "name": "Wimmer-2004-LSPM-image.jpg",
            "type": "image/jpeg",
            "size": 82022,
            "path": "Publication:Wimmer-2004-LSPM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            452,
            190
        ],
        "booktitle": "Rendering  Techniques 2004 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2004-06-21",
        "date_to": "2004-06-23",
        "editor": "Alexander Keller and Henrik W. Jensen",
        "isbn": "3-905673-12-6",
        "lecturer": [
            193
        ],
        "location": "Norrköping, Sweden",
        "organization": "Eurographics",
        "pages_from": "143",
        "pages_to": "151",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "shadows",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 928,
                "image_height": 464,
                "name": "Wimmer-2004-LSPM-image.jpg",
                "type": "image/jpeg",
                "size": 82022,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image2.png",
                "type": "image/png",
                "size": 1431490,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image2.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image2:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image3",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image3.png",
                "type": "image/png",
                "size": 1980010,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image3.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image3:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image4",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image4.png",
                "type": "image/png",
                "size": 1483549,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image4.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image4:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image5",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image5.png",
                "type": "image/png",
                "size": 686732,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image5.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image5:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image6",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image6.png",
                "type": "image/png",
                "size": 2590946,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image6.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image6:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image7",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image7.png",
                "type": "image/png",
                "size": 1193897,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image7.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image7:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image8",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image8.png",
                "type": "image/png",
                "size": 3005053,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image8.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image8:thumb{{size}}.png"
            },
            {
                "description": "A scene shadowed with Light Space Perspective Shadow Maps.",
                "filetitle": "image9",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2048,
                "image_height": 1480,
                "name": "Wimmer-2004-LSPM-image9.png",
                "type": "image/png",
                "size": 3173467,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image9.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-image9:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-2004-LSPM-Paper.pdf",
                "type": "application/pdf",
                "size": 3297954,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Revised version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-2004-LSPM-Revised version.pdf",
                "type": "application/pdf",
                "size": 3328886,
                "path": "Publication:Wimmer-2004-LSPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-Revised version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/Wimmer-2004-LSPM-Revised version:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Wimmer-2004-LSPM/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2004-tang",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tangible Image Query",
        "date": "2004-05",
        "abstract": "This paper introduces a tangible user interface for browsing\r\nand retrieving images from an image database. The basis\r\nfor the query to the image database is a color layout sketch,\r\nwhich is used by the underlying query algorithm to find the\r\nbest matches. The users are provided with colored cubes of\r\nvarious sizes (1.5 to 4 cm) and colors (8 base colors). The\r\nusers can place and arrange the colored cubes on a small\r\ntable to create a color layout sketch. Multiple users can use\r\nthis interface to collaborate in an image query. To evaluate\r\nthe benefits of the interface, it is compared to a traditional\r\nGUI application in which the users use a mouse to create a\r\ncolor layout sketch.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 258,
            "image_height": 198,
            "name": "matkovic-2004-tang-jpg.jpg",
            "type": "image/jpeg",
            "size": 42116,
            "path": "Publication:matkovic-2004-tang",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            26,
            586,
            190
        ],
        "booktitle": "Proceedings of Smart Graphics 2004",
        "date_from": "2004-05-23",
        "date_to": "2004-05-25",
        "lecturer": [
            235
        ],
        "location": "Banff, Canada",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 258,
                "image_height": 198,
                "name": "matkovic-2004-tang-jpg.jpg",
                "type": "image/jpeg",
                "size": 42116,
                "path": "Publication:matkovic-2004-tang",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2004-tang-pdf.pdf",
                "type": "application/pdf",
                "size": 576896,
                "path": "Publication:matkovic-2004-tang",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/matkovic-2004-tang-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-tang/",
        "__class": "Publication"
    },
    {
        "id": "matt-masterthesis",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Reconstruction Schemes and Hardware-Accelerated Direct Volume Rendering on Body-Centered Cubic Grids",
        "date": "2004-05",
        "abstract": "It is well known in the signal-processing community that the Body-Centered Cubic grid is the\r\noptimal sampling grid in 3D. In volume visualization, the Cartesian grid is by far the most popular\r\ntype of grid because it is convenient to handle. But it requires 29.3% more samples than\r\nthe Body-Centered Cubic grid. In order to convince people used to Cartesian grids for years of\r\nthe advantages of Body-Centered Cubic grids, we must prove their usability in many different\r\nvolume rendering algorithms. Further we have to show that we get a performance gain without\r\nor with only slight loss of image quality compared to Cartesian grids. Therefore we introduce\r\nseveral practical reconstruction schemes on Body-Centered Cubic grids, which are very general\r\nand can be used in a number of applications and tasks.\r\nTogether with the development of powerful and flexible consumer graphics hardware, interactive\r\nhardware-accelerated volume rendering algorithms gain popularity. Rendering performance\r\nbecomes a big issue, which can be a strong argument in favour of Body-Centered Cubic\r\ngrids. We adapted some of the most popular volume rendering approaches exploiting hardwareacceleration\r\nto Body-Centered Cubic grids: both 2D and 3D texture-based volume rendering\r\nand the projected tetrahedra algorithm. At least partly we succeeded in achieving a performance\r\ngain on our new grid and further produced some impressive rendering results comparable to the\r\nCartesian grid version.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 513,
            "image_height": 512,
            "name": "matt-masterthesis-image.jpg",
            "type": "image/jpeg",
            "size": 26831,
            "path": "Publication:matt-masterthesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326
        ],
        "note": "1",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 513,
                "image_height": 512,
                "name": "matt-masterthesis-image.jpg",
                "type": "image/jpeg",
                "size": 26831,
                "path": "Publication:matt-masterthesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matt-masterthesis-Thesis.pdf",
                "type": "application/pdf",
                "size": 7844071,
                "path": "Publication:matt-masterthesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/matt-masterthesis-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matt-masterthesis/",
        "__class": "Publication"
    },
    {
        "id": "alacruzVisSym2004",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accuracy Evaluation of Diferent Centerline Approximations of Blood Vessels",
        "date": "2004-05",
        "abstract": " Accurate determination of the central vessel axis is a prerequisite for automated arteries diseases visualization and quantification. In this paper we present an evaluation of different methods used to approximate the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray casting technique using thresholds and maximum gradient-like stop criterion, pixel motion estimation between successive images called block matching, center of gravity and shape based segmentation. The Randomized Hough Transform and ellipse fitting using Lagrange Multiplier have been used as shape based segmentation techniques, fitting an elliptical shape to a set of points. The synthetic data simulate the peripheral arterial tree (aorta-to-pedal). The vessel diameter changes along the z-axis from about 0.7 to about 23 voxels. The data dimension is 256x256x768 with voxel size 0.5x0.5x0.5mm. In this data set the centerline is known and an estimation of the error is calculated in order to determine how precise a given method is and to classify it accordingly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "alacruzVisSym2004-.pdf",
            "type": "application/pdf",
            "size": 1484850,
            "path": "Publication:alacruzVisSym2004",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/alacruzVisSym2004/alacruzVisSym2004-.pdf",
            "thumb_image_sizes": []
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168
        ],
        "booktitle": "Symposium on Visualization 2004",
        "editor": "EUROGRAPHICS / IEEE TCGV",
        "location": "Konstanz, Germany",
        "organization": "Institute of Computer Graphics and Algorithms, Vienna University of Technology",
        "pages_from": "120",
        "pages_to": "115",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Center Line Detection",
            "Vessel Segmentation",
            "Medical Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "alacruzVisSym2004-.pdf",
                "type": "application/pdf",
                "size": 1484850,
                "path": "Publication:alacruzVisSym2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/alacruzVisSym2004/alacruzVisSym2004-.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/alacruzVisSym2004/",
        "__class": "Publication"
    },
    {
        "id": "bruckner-2004-EVV",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Volume Visualization of Large Medical Datasets",
        "date": "2004-05",
        "abstract": "The size of volumetric datasets used in medical environments is increasing at a rapid pace. Due to excessive pre-computation and memory demanding data structures, most current approaches for volume visualization do not meet the requirements of daily clinical routine. In this diploma thesis, an approach for interactive high-quality rendering of large medical data is presented. It is based on image-order raycasting with object-order data traversal, using an optimized cache coherent memory layout. New techniques and parallelization strategies for direct volume rendering of large data on commodity hardware are presented. By using new memory efficient acceleration data structures, high-quality direct volume rendering of several hundred megabyte sized datasets at sub-second frame rates on a commodity notebook is achieved.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "bruckner-2004-EVV-image.jpg",
            "type": "image/jpeg",
            "size": 18530,
            "path": "Publication:bruckner-2004-EVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "supervisor": [
            160
        ],
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "large data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "bruckner-2004-EVV-image.jpg",
                "type": "image/jpeg",
                "size": 18530,
                "path": "Publication:bruckner-2004-EVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Short Version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2004-EVV-Short Version.pdf",
                "type": "application/pdf",
                "size": 1527888,
                "path": "Publication:bruckner-2004-EVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Short Version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Short Version:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "bruckner-2004-EVV-Thesis.pdf",
                "type": "application/pdf",
                "size": 4819243,
                "path": "Publication:bruckner-2004-EVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/bruckner-2004-EVV-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/bruckner-2004-EVV/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2004-GPU",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU-based Frequency Domain Volume Rendering",
        "date": "2004-04",
        "abstract": "Frequency domain volume rendering (FVR) is a volume\r\nrendering technique with lower computational complexity\r\nas compared to other techniques. In this paper\r\nthe FVR algorithm is accelerated by factor of 17\r\nby mapping the rendering stage to the GPU. The overall\r\nhardware-accelerated pipeline is discussed and the\r\nchanges according to previous work are pointed out. The\r\nthree-dimensional transformation into frequency domain\r\nis done in a pre-processing step. The rendering step is\r\ncomputed completely on the GPU. First the projection\r\nslice is extracted. Four different interpolation schemes\r\nare used for resampling the slice from the data represented\r\nby a 3D texture. The extracted slice is transformed\r\nback into the spatial domain using the inverse\r\nFast Fourier or Fast Hartley Transform. The rendering\r\nstage is implemented through shader programs running\r\non programmable graphics hardware achieving highly interactive\r\nframerates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 200,
            "name": "Viola-2004-GPU-image.jpg",
            "type": "image/jpeg",
            "size": 10116,
            "path": "Publication:Viola-2004-GPU",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "booktitle": "Proceedings of SCCG 2004",
        "isbn": "80-223-1730-6",
        "note": "second-best paper award!",
        "pages_from": "49",
        "pages_to": "58",
        "research_areas": [],
        "keywords": [
            "Fourier Transform",
            "Fourier Volume Rendering",
            "Hardware Acceleration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 200,
                "name": "Viola-2004-GPU-image.jpg",
                "type": "image/jpeg",
                "size": 10116,
                "path": "Publication:Viola-2004-GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2004-GPU-Paper.pdf",
                "type": "application/pdf",
                "size": 1225586,
                "path": "Publication:Viola-2004-GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/Viola-2004-GPU-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-GPU/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2004-ImpX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Volume Rendering",
        "date": "2004-04",
        "abstract": "This paper introduces importance-driven volume rendering as a\r\nnovel technique for automatic focus and context display of volumetric\r\ndata. It is a generalization of cut-away views, which - depending on\r\nthe viewpoint - remove or suppress less important parts of a\r\nscene to reveal more important underlying information. We\r\nautomatize and apply this idea to volumetric data.\r\n\r\nEach part of the volumetric data is assigned an object\r\nimportance which encodes visibility priority. It determines which\r\nstructures should be readily discernable and which structures are\r\nless important. In those image regions, where an object occludes\r\nmore important structures it is displayed more sparsely than in\r\nthose areas where no occlusion occurs. Thus the objects of\r\ninterest are clearly visible. For each object several\r\nrepresentations, i.e., levels of sparseness, are specified.\r\nThe display of an individual object may incorporate different\r\nlevels of sparseness. The goal is to emphasize important\r\nstructures and to maximize the information content in the final\r\nimage.\r\n\r\nThis paper also discusses several possible schemes for evel\r\nof sparseness specification and different ways how object\r\nimportance can be composed to determine the final appearance of a\r\nparticular object.",
        "authors_et_al": false,
        "substitute": "Viola-2004-ImpX2",
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 270,
            "name": "Viola-2004-ImpX-image.jpg",
            "type": "image/jpeg",
            "size": 16817,
            "path": "Publication:Viola-2004-ImpX",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "number": "TR-186-2-04-03",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "view-dependent visualization",
            "focus+context techniques",
            "level-of-detail techniques",
            "non-photorealistic techniques"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 270,
                "name": "Viola-2004-ImpX-image.jpg",
                "type": "image/jpeg",
                "size": 16817,
                "path": "Publication:Viola-2004-ImpX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2004-ImpX-paper.pdf",
                "type": "application/pdf",
                "size": 1611914,
                "path": "Publication:Viola-2004-ImpX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/Viola-2004-ImpX-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2004-stone",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stone-Age Monumental Circular Ditch Systems",
        "date": "2004-04",
        "abstract": "Exhibition on Virtual Reconstructions in Cultural Heritage, now online at http://www.visibleart.net/artwork.php?artid=197 .",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            249,
            479,
            480
        ],
        "date_from": "2004-04-22",
        "date_to": "2004-04-24",
        "event": "Spring Conference on Computer Graphics 2004",
        "location": "Budmerice, Slovakia",
        "research_areas": [],
        "keywords": [
            "archeo-astronomy",
            "virtual reconstruction"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/zotti-2004-stone/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2004-TVG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The VesselGlyph: Focus & Context Visualization in CT-Angiography",
        "date": "2004-04",
        "abstract": "Reliable and complete blood-vessel segmentation is still a challenging problem. This is especially true in the presence of morphologic changes resulting from atherosclerotic diseases. In this paper we take advantage of partially segmented data with approximately identified vessel centerlines to comprehensively visualize the diseased peripheral arterial tree.\r\nWe introduce the VesselGlyph as an abstract notation for novel focus & context visualization techniques of tubular structures such as contrast-medium enhanced arteries in CT-Angiography (CT-A). The proposed techniques combine direct volume rendering (DVR) and curved planar reformation (CPR) within a single image. The VesselGlyph consists of several regions where different rendering methods are used. Region type, the used visualization method and region parameters depend on the distance from the vessel centerline and on viewing parameters as well. By selecting proper rendering techniques for different regions, vessels are depicted in a naturally looking and undistorted anatomic context.\r\nIn this paper we furthermore present a way how to implement the proposed techniques in software and by means of modern 3D graphics accelerators.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 618,
            "image_height": 750,
            "name": "Straka-2004-TVG-image.jpg",
            "type": "image/jpeg",
            "size": 91043,
            "path": "Publication:Straka-2004-TVG",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            347,
            168,
            169,
            170,
            166,
            164
        ],
        "number": "TR-186-2-04-04",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "vessel visualization.",
            "focus & context technique",
            "curved planar reformation",
            "direct volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 618,
                "image_height": 750,
                "name": "Straka-2004-TVG-image.jpg",
                "type": "image/jpeg",
                "size": 91043,
                "path": "Publication:Straka-2004-TVG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2004-TVG-paper.pdf",
                "type": "application/pdf",
                "size": 5201440,
                "path": "Publication:Straka-2004-TVG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/Straka-2004-TVG-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-TVG/",
        "__class": "Publication"
    },
    {
        "id": "GRIMM-2004-FDM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "VOTS: VOlume doTS as a Point-Based Representation of Volumetric Data",
        "date": "2004-04",
        "abstract": "We present Volume dots (Vots), a new primitive for volumetric data modelling, processing, and rendering. Vots\r\nare a point-based representation of volumetric data. An individual Vot is specified by the coefficients of a Taylor\r\nseries expansion, i.e. the function value and higher order derivatives at a specific point. A Vot does not only\r\nrepresent a single sample point, it represents the underlying function within a region. With the Vots representation\r\nwe have a more intuitive and high-level description of the volume data. This allows direct analytical examination\r\nand manipulation of volumetric datasets. Vots enable the representation of the underlying scalar function with\r\nspecified precision. User-centric importance sampling is also possible, i.e., unimportant volume parts are still\r\npresent but represented with just very few Vots. As proof of concept, we show Maximum Intensity Projection based\r\non Vots.",
        "authors_et_al": false,
        "substitute": "grimm-2004-volume",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "number": "TR-186-2-04-08",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Graphics Data Structures and Data Types"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRIMM-2004-FDM-paper.pdf",
                "type": "application/pdf",
                "size": 434358,
                "path": "Publication:GRIMM-2004-FDM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDM/GRIMM-2004-FDM-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDM/GRIMM-2004-FDM-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDM/",
        "__class": "Publication"
    },
    {
        "id": "GRIMM-2004-FDMX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "V-Objects: Flexible Direct Multi-Volume Rendering in Interactive Scenes",
        "date": "2004-04",
        "abstract": "In this paper we describe methods to concurrently visualize and interact\r\nwith multiple volumetric objects. We introduce the concept\r\nof V-Objects. V-Objects represent abstract properties of an object\r\nconnected to a volumetric data source. The key to flexibility is the\r\nexplicit separation of V-Objects and data sources. We present a\r\nmethod to perform direct volume rendering of a scene comprised of\r\nan arbitrary number of V-Objects. Using this concept, we present\r\na novel approach to combine visualization, interaction, and exploration\r\ntechniques. We focus on medical applications, such as surgical\r\nplanning, diagnosis, and education. An interactive and intuitive\r\n3D framework for visualization of multiple volumetric objects has\r\nbeen developed. We have integrated our methods into a commercial\r\nmedical visualization system.",
        "authors_et_al": false,
        "substitute": "GRIMM-2004-FDMX-P",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "number": "TR-186-2-04-06",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "volume raycasting",
            "multi volume rendering",
            "medical visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRIMM-2004-FDMX-paper.pdf",
                "type": "application/pdf",
                "size": 1655601,
                "path": "Publication:GRIMM-2004-FDMX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX/GRIMM-2004-FDMX-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX/GRIMM-2004-FDMX-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-FDMX/",
        "__class": "Publication"
    },
    {
        "id": "GRIMM-2004-PPC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Peeling of Curvilinear Grids",
        "date": "2004-04",
        "abstract": "In this paper we present a novel hybrid CPU-GPU approach for rendering\r\ncurvilinear grids. Visibility sorting is accomplished by parallel\r\npeeling cells off the grid, utilizing an active cell peeling front. In\r\neach step, we compute the ray-cell intersection coordinates on the\r\nGPU, perform accurate volume integration (CPU), and determine\r\nthe set of active cells for the next iteration (GPU). The approach\r\nrequires only standard graphics capabilities and can therefore be\r\nused on any commodity PC, including laptops. Furthermore, the\r\nmain memory requirements are negligible since the required data\r\nstructures are minimal.\r\nThe main advantage of our algorithm is that we exploit hardware\r\nacceleration for the expensive visibility sorting which is bene-\r\nficial over time due to the faster performance increase of GPUs over\r\nCPUs. Due to the simplicity of the algorithm and its low requirements\r\non preprocessing and main memory, it is well suited for thin\r\nclients. Last but not least, the approach could easily be extended to\r\nirregular grids using tetrahedra.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 512,
            "name": "GRIMM-2004-PPC-image.jpg",
            "type": "image/jpeg",
            "size": 14796,
            "path": "Publication:GRIMM-2004-PPC",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            345,
            162,
            166
        ],
        "number": "TR-186-2-04-07",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Raycasting",
            "Volume Rendering",
            "Visibility Sorting",
            "Curvilinear grids",
            "Depth Sorting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 512,
                "name": "GRIMM-2004-PPC-image.jpg",
                "type": "image/jpeg",
                "size": 14796,
                "path": "Publication:GRIMM-2004-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "GRIMM-2004-PPC-Paper.pdf",
                "type": "application/pdf",
                "size": 3432004,
                "path": "Publication:GRIMM-2004-PPC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/GRIMM-2004-PPC-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/GRIMM-2004-PPC/",
        "__class": "Publication"
    },
    {
        "id": "LaCruz-2004-NMF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Non-linear Model Fitting to Parameterize Diseased Blood Vessels",
        "date": "2004-04",
        "abstract": "Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of normal and diseased blood vessels. The objective of this research is to estimate the dimensions of lower extremity arteries, imaged by computed tomography (CT).\nThe vessel is modeled using an elliptical or cylindrical structure with specific dimensions, orientation and blood vessel mean density. The model separates two homogeneous regions: Its inner side represents a region of density for vessels, and its outer side a region for background. Taking into account the point spread function (PSF) of a CT scanner, a function is modeled with a Gaussian kernel, in order to smooth the vessel boundary in the model. A new strategy for vessel parameter estimation is presented. It\nstems from vessel model and model parameter optimization by a nonlinear optimization procedure (the Levenberg-Marquardt technique). The method provides center location, diameter and orientation of the vessel as well as blood and background mean density values. The method is tested on synthetic data and real patient data with encouraging results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168,
            167,
            169,
            170,
            166,
            164
        ],
        "number": "TR-186-2-04-05",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Diseased Blood Vessel Detection",
            "Segmentation",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "LaCruz-2004-NMF-paper.pdf",
                "type": "application/pdf",
                "size": 3123971,
                "path": "Publication:LaCruz-2004-NMF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz-2004-NMF/LaCruz-2004-NMF-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/LaCruz-2004-NMF/",
        "__class": "Publication"
    },
    {
        "id": "alacruzECR2004",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accuracy of Automated Centerline Approximation Algorithms for Lower Extremity Vessels in CTA Phantom",
        "date": "2004-03",
        "abstract": "Purpose: The accurate determination of the central vessel axis is a prerequisite for automated visualization (curved planar reformation) and quantitation. The purpose of this work was to assess the accuracy of different algorithms for automated centerline detection in a phantom simulating the peripheral arterial tree.\r\nMethods and Material: Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel (aorto-to-pedal arteries, diameter 18-0.6mm) dataset (256x256x600, voxel size 0.5x0.5x0.5mm). They are ray-casting/thresholding (RCT), ray-casting/maximum gradient (RCMG), block matching (BM), fitting to ellipse (FE), center of gravity (CoG), and Randomized Hough transform (RHT). Gaussian noise whith a sigma: 0, 5 and 10 was used to observe the accuracy of the method under noise influence The accuracy of automatic centerline determination was quantified by measuring the error-distance between the derived centerlines, and the known centerline course of the synthetic dataset.\r\nResults: BM demonstrated unacceptable performance in large vessels (>5mm) when the shift used was less than 3 voxels. RCMG demonstrated a greater error (mean of the error 4.73mm) in large diameter (>15mm) vessels than in small diameter (<15mm) vessels (mean of the error 0.64mm). Because RHT and FE use Canny edge detector preprocessing, both are sensitive to noise. CoG and RCT keep the mean of the error-distance significantly smaller (0.7mm and 0.9mm respectively) than all other algorithms.\r\nConclusion: CoG and RCT algorithms provide the most efficient centerline approximation over a wide range of vessel diameters. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168,
            167,
            169,
            170,
            166,
            164
        ],
        "booktitle": "European Congres of Radiology",
        "location": "Vienna, Austria",
        "organization": "Institute of Computer Graphics and Algorithms, Vienna University of Technology",
        "research_areas": [],
        "keywords": [
            "Medical Visualization",
            "Vessel Segmentation",
            "Centerline Detection"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/alacruzECR2004/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2004-sens",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Sensitive Sample",
        "date": "2004-03",
        "abstract": "This paper describes Sensitive Samples - everyday artifacts\r\nturned into tangible user interfaces, while preserving\r\ntheir original look. The solution presented is inexpensive\r\nand is build on fairly simple technology. The system supports\r\nmultiple samples simultaneously. Sensitive Samples\r\nwere tested at the Academy of Fine Arts in Vienna. Various\r\nobjects, ranging from a simple paper cube up to complex architecture\r\nmodels were turned into sensitive samples. The\r\ntechnical realization and two application examples - The\r\nControl Cube and Materialkammer - are described in the\r\npaper. The Control Cube can be used to trigger six different\r\nactions. Materialkammer describes an inspirational\r\nlearning environment where architecture students can get\r\nfamiliar with materials in an unconventional way.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 155,
            "image_height": 145,
            "name": "matkovic-2004-sens-jpg.jpg",
            "type": "image/jpeg",
            "size": 23385,
            "path": "Publication:matkovic-2004-sens",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            26,
            586
        ],
        "booktitle": "Proceedings of Beyond Wand and Glove Based Interaction 2004",
        "date_to": "2004-03-28",
        "lecturer": [
            26
        ],
        "location": "Chicago, USA",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 155,
                "image_height": 145,
                "name": "matkovic-2004-sens-jpg.jpg",
                "type": "image/jpeg",
                "size": 23385,
                "path": "Publication:matkovic-2004-sens",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2004-sens-pdf.pdf",
                "type": "application/pdf",
                "size": 771409,
                "path": "Publication:matkovic-2004-sens",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/matkovic-2004-sens-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/matkovic-2004-sens/",
        "__class": "Publication"
    },
    {
        "id": "knapp-2004-semi",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire",
        "date": "2004-02",
        "abstract": "In general three-dimensional segmentation algorithms assume objects to have connected homogeneous regions.\r\nHowever in some cases objects are defined by a fuzzy boundary surface and consist of an inhomogeneous\r\ninternal structure. In the following a new three-dimensional segmentation technique exploiting the contour\r\ndetection capabilities of live-wire is proposed. The algorithm consists of two basic steps. First contours are\r\noutlined by the user on a small number of planar cross-sections through the object using live-wire. Second the\r\ntraced contours are used for reconstructing the object surface automatically in each slice using live-wire again.\r\nThis user-friendly segmentation algorithm is independent from object topology as the topology is implicitly\r\ndefined during the reconstruction process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "knapp-2004-semi-.pdf",
            "type": "application/pdf",
            "size": 6051784,
            "path": "Publication:knapp-2004-semi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            172,
            162,
            166
        ],
        "booktitle": "Journal of WSCG, Vol. 12, Number 2",
        "isbn": "1213-6972",
        "issn": "1213-6972",
        "journal": "Journal of WSCG",
        "lecturer": [
            172
        ],
        "number": "2",
        "pages_from": "229",
        "pages_to": "236",
        "volume": "12",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knapp-2004-semi-.pdf",
                "type": "application/pdf",
                "size": 6051784,
                "path": "Publication:knapp-2004-semi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/knapp-2004-semi-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-semi/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2004-Dia",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Diagnostic Relevant Visualization of Vascular Structures",
        "date": "2004-01",
        "abstract": "Traditional volume visualization techniques sometimes provide incomplete\r\nclinical information needed for applications in medical visualization.\r\nIn the area of vascular visualization important features such as the lumen of a\r\ndiseased vessel segment may not be visible. One way to display vascular structures\r\nfor diagnostic purposes is to generate longitudinal cross-sections in order to\r\nshow their lumen, wall, and surrounding tissue in a curved plane. Curved planar\r\nreformation (CPR) has proven to be an acceptable practical solution. We discuss\r\nfour different methods to generate CPR images from single vessel segments: Projected\r\nCPR, stretched CPR, straightened CPR, and helical CPR. Furthermore we\r\ninvestigate three different methods for displaying vascular trees: Multi-path projected\r\nCPR, multi-path stretched CPR, and untangled CPR. The principle concept\r\nof each method is discussed and detailed information for the realization is given.\r\n                 In addition the properties, advantages and disadvantages of each method are summarized.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 482,
            "image_height": 470,
            "name": "Kanitsar-2004-Dia-image.jpg",
            "type": "image/jpeg",
            "size": 39068,
            "path": "Publication:Kanitsar-2004-Dia",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            165,
            166
        ],
        "number": "TR-186-2-04-02",
        "pages_from": "1",
        "pages_to": "20",
        "research_areas": [],
        "keywords": [
            "curved planar reformation",
            "computed tomography angiography",
            "vessel analysis"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 482,
                "image_height": 470,
                "name": "Kanitsar-2004-Dia-image.jpg",
                "type": "image/jpeg",
                "size": 39068,
                "path": "Publication:Kanitsar-2004-Dia",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-2004-Dia-paper.pdf",
                "type": "application/pdf",
                "size": 2996860,
                "path": "Publication:Kanitsar-2004-Dia",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/Kanitsar-2004-Dia-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-2004-Dia/",
        "__class": "Publication"
    },
    {
        "id": "neumann-2004-ipm",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Perception Based Model for Characterization of Display device",
        "date": "2004-01",
        "abstract": "This paper describes a simple to use, yet accurate way to obtain the Tone Reproduction Curve (TRC) of display devices without the use of a measurement device. Human vision is used to compare a series of dithered color patches against interactively changeable homogeneously colored display areas. Results comparing this method with spectrophotometer measurements are given for three monitors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "neumann-2004-ipm-image.jpg",
            "type": "image/jpeg",
            "size": 8374,
            "path": "Publication:neumann-2004-ipm",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            232,
            191,
            222,
            177,
            190
        ],
        "booktitle": "Color Imaging IX: Processing, Hardcopy, and Applications IX",
        "isbn": "0819451967",
        "location": "San Jose, California, USA",
        "organization": "IST&SPIE",
        "research_areas": [],
        "keywords": [
            "Display Measurement",
            "Human Visual System"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "neumann-2004-ipm-image.jpg",
                "type": "image/jpeg",
                "size": 8374,
                "path": "Publication:neumann-2004-ipm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Interactive Perception Based Display Characterization",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "neumann-2004-ipm-Interactive Perception Based Display Characterization.pdf",
                "type": "application/pdf",
                "size": 479599,
                "path": "Publication:neumann-2004-ipm",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-Interactive Perception Based Display Characterization.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/neumann-2004-ipm-Interactive Perception Based Display Characterization:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-ipm/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2004-BSA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bone Segmentation in CT-Angiography Data Using a Probabilistic Atlas",
        "date": "2004-01",
        "abstract": "Automatic segmentation of bony structures in CT angiography datasets is an essential pre-processing step necessary for most visualization and analysis tasks. Since traditional density and gradient operators fail in non-trivial cases (or at least require extensive operator work), we propose a new method for segmentation of CTA data based on a probabilistic atlas. Storing densities and marks of previously manually segmented tissues to the atlas can constitute a statistical information base for latter accurate segmentation. In order to eliminate dimensional and anatomic variability of the atlas input datasets, these have to be spatially normalized (registered) first by applying a non-rigid transformation. After this transformation, densities and tissue masks are statistically processed (e.g averaged) within the atlas. Records in the atlas can be later evaluated for estimating the probability of bone tissue in a voxel of an unsegmented dataset.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            168,
            236,
            170,
            164,
            166
        ],
        "number": "TR-186-2-04-01",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Histogram Classification",
            "Distance Fields",
            "Thin-Plate Spline",
            "Probabilistic Atlas",
            "Knowledge Based Segmentation",
            "CT Angiography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2004-BSA-paper.pdf",
                "type": "application/pdf",
                "size": 747482,
                "path": "Publication:Straka-2004-BSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-BSA/Straka-2004-BSA-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Straka-2004-BSA/",
        "__class": "Publication"
    },
    {
        "id": "Redey-2004-SRLR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Self-referencing languages revisited",
        "date": "2004",
        "abstract": "Paradoxes, particularly Tarski's liar paradox, represent an ongoing challenge have long attracted special interest. There have been numerous attempts to give either a formal or a more realistic resolution to this area based on natural logical intuition or\ncommon sense. \n\nThe present semantic analysis of the problem components concludes that the traditional language of logic fails to detect Tarski's paradox, since the formalised version of a liar sentence does not represent a correct definition. Neither the formal language, nor the logical system is deficient in this respect. Only natural language statements cannot be interpreted adequately by traditional language of logic. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Redey-2004-SRLR-.pdf",
            "type": "application/pdf",
            "size": 108117,
            "path": "Publication:Redey-2004-SRLR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Redey-2004-SRLR/Redey-2004-SRLR-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Redey-2004-SRLR/Redey-2004-SRLR-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            478,
            232
        ],
        "booktitle": "Proceedings of the First Workshop on Philosophy and Informatics (WSPI 2004)",
        "date_from": "2004-03",
        "editor": "Büchel, G, Klein, B",
        "location": "Cologne",
        "pages_from": "105",
        "pages_to": "111",
        "research_areas": [],
        "keywords": [
            "Tarski paradox",
            "Language of logic"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Redey-2004-SRLR-.pdf",
                "type": "application/pdf",
                "size": 108117,
                "path": "Publication:Redey-2004-SRLR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Redey-2004-SRLR/Redey-2004-SRLR-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Redey-2004-SRLR/Redey-2004-SRLR-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Redey-2004-SRLR/",
        "__class": "Publication"
    },
    {
        "id": "meseth-2004-hqr",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "High Quality Rendering of Reflectance Data",
        "date": "2004",
        "abstract": "The tutorial will introduce the basic terminology, show techniques for acquisition of reflectance properties of both synthetic and real-world materials, present common representations for reflectance properties and will elaborate on rendering techniques both for real-time and offline applications. While the tutorial gives an overview over existing techniques for most aspects, selected topics will be described in much more detail.\r\nIn addition to describing acquisition, storage and rendering of reflectance properties, related areas will be covered. In fact, texturing and parameterization, texture- and BTF synthesis and tone mapping represent techniques which are inevitable to achieve really photorealistic results and are therefore required by every system that aims at using reflectance properties. Here, as well, an overview over the research areas will be given, existing techniques will de described and selected topics will be elaborated on in more detail.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            698,
            701,
            699,
            697,
            191,
            192,
            222,
            700,
            190
        ],
        "note": "Tutorial auf CGI 2004",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/meseth-2004-hqr/",
        "__class": "Publication"
    },
    {
        "id": "Neum04GCM",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gamut Clipping and Mapping based on Coloroid System",
        "date": "2004",
        "abstract": "The paper presents novel techniques based on the Coloroid color system which hitherto has not been applied to gamut mapping. The introduced methods described are hue preserving and use three gravity centers in a hue-dependent way. Two of the gravity centers are shifted toward the direction of negative saturation, and can be used for regions of bright and dark colors, while a third gravity center is used for saturated colors. \r\nAfter a short survey of gamut mapping an introduction to the Coloroid describes concisely its features and formulas. Then a simple color clipping rule is presented applicable to any rendering applications. A gamut mapping method will be defined mapping from a generic input image to an RGB display. Other variations of the method describe RGB-CYMK transformation and also cross-media mapping for known input and output gamut boundaries. \r\nThe introduced methods apply hue and chroma dependent lightness compression. They can be applied in realistic computer graphics and digital photography as well as in printing technologies. They are straightforward to implement and have low computational costs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 600,
            "name": "Neum04GCM-image.jpg",
            "type": "image/jpeg",
            "size": 93650,
            "path": "Publication:Neum04GCM",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            232
        ],
        "booktitle": "Proceedings of Second European Conference on Colour in Graphics, Imaging and Vision",
        "pages_from": "548",
        "pages_to": "555",
        "research_areas": [],
        "keywords": [
            "Coloroid Color System",
            "Gamut Clipping",
            "Gamut Mapping",
            "Human Perception"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Gamut Clipping and Mapping",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neum04GCM-Gamut Clipping and Mapping.pdf",
                "type": "application/pdf",
                "size": 434136,
                "path": "Publication:Neum04GCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-Gamut Clipping and Mapping.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-Gamut Clipping and Mapping:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 600,
                "name": "Neum04GCM-image.jpg",
                "type": "image/jpeg",
                "size": 93650,
                "path": "Publication:Neum04GCM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/Neum04GCM-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Neum04GCM/",
        "__class": "Publication"
    },
    {
        "id": "neumann-2004-aip",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "aIPBMfCoDD",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            232
        ],
        "date_from": "2004-01-15",
        "event": "?",
        "location": "San Jose",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "neumann-2004-aip-slides.ppt",
                "type": "application/msword",
                "size": 524800,
                "path": "Publication:neumann-2004-aip",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-aip/neumann-2004-aip-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/neumann-2004-aip/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2004-asp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Aspekte der Echtzeit-Computergraphik",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2004-03-15",
        "event": "Klassensitzung der mathematisch- naturwissenschaftlichen Klasse der Österreichischen Akademie der Wissenschaften",
        "location": "Austrian Academy of Sciences, Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/purgathofer-2004-asp/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2004-comp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Graphics at the Vienna University of Technology",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2004-09-01",
        "event": "Eurographics' 2004",
        "location": "Grenoble, France",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/purgathofer-2004-comp/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2004-neue",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Neue Methoden für Computergraphik in Echtzeit",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2004-05-15",
        "event": "Erste Österreichische Forschungstage",
        "location": "Vienna, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/purgathofer-2004-neue/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2004-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real- time Rendering Algorithms",
        "date": "2004",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2004-06-17",
        "event": "CGI' 2004",
        "location": "Crete, Greece",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/purgathofer-2004-real/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-2004-some",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Some Commercial VR/AR Project",
        "date": "2004",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "2004-09-14",
        "event": "CONVR 2004",
        "location": "Lisbon, Portugal",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/purgathofer-2004-some/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Curved Planar Reformation for Vessel Visualization",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 424,
            "image_height": 330,
            "name": "Kanitsar-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 49132,
            "path": "Publication:Kanitsar-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "date_end": "2004-01",
        "date_start": "2001-03",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 424,
                "image_height": 330,
                "name": "Kanitsar-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 49132,
                "path": "Publication:Kanitsar-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 14168623,
                "path": "Publication:Kanitsar-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/Kanitsar-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kanitsar-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Kleber-2004-TFE",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transfer-Function Editor mit erweiterteten Möglichkeiten",
        "date": "2004",
        "abstract": " Das Programm \"TF-Editor\" ermöglicht ein 'Direct Volume Rendering' von Volums-Datensätzen, wobei zwei unterschiedliche Dateiformate unterstützt werden.\r\n\r\nDer Benutzer kann anhand zweier möglicher Darstellungsarten Transfer-Functions definieren, und anhand dieser die Datensätze rendern. Weiters gibt es noch die Möglichkeit anhand einer Kugel auf dessen Oberfläche die Häufigkeit der Gradienten mittels Color Mapping aufgetragen wird, jene Gradienten auszuwählen, die gerendert werden sollen. Zusätzlich gibt es noch die Möglichkeit, die Länge der selektierten Gradienten festzulegen (Im Bild nicht sichtbar). Dadurch kann zb ein Rauschen entfernt werden. Die einzelnen Funktionen des Programms werden im Benutzerhandbuch genau erklärt. \r\n\r\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/FKleber/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "picture",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 818,
            "image_height": 427,
            "name": "Kleber-2004-TFE-picture.jpg",
            "type": "image/jpeg",
            "size": 61204,
            "path": "Publication:Kleber-2004-TFE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-picture.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-picture:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            601
        ],
        "supervisor": [
            179
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "handbook",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kleber-2004-TFE-handbook.pdf",
                "type": "application/pdf",
                "size": 101401,
                "path": "Publication:Kleber-2004-TFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-handbook.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-handbook:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kleber-2004-TFE-paper.pdf",
                "type": "application/pdf",
                "size": 324644,
                "path": "Publication:Kleber-2004-TFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-paper:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "picture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 818,
                "image_height": 427,
                "name": "Kleber-2004-TFE-picture.jpg",
                "type": "image/jpeg",
                "size": 61204,
                "path": "Publication:Kleber-2004-TFE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-picture.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/Kleber-2004-TFE-picture:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Kleber-2004-TFE/",
        "__class": "Publication"
    },
    {
        "id": "knapp-2004-fic",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Final contours",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            172
        ],
        "date_from": "2004-01-15",
        "event": "ES WSCG talk",
        "location": "Plzen",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "knapp-2004-fic-slides.ppt",
                "type": "application/msword",
                "size": 5884416,
                "path": "Publication:knapp-2004-fic",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-fic/knapp-2004-fic-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/knapp-2004-fic/",
        "__class": "Publication"
    },
    {
        "id": "Laramee-2004-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive 3D Flow Visualization Based on Textures and Geometric Primitives",
        "date": "2004",
        "abstract": "This thesis presents research in the area of flow visualization. The theoretical framework is based on the notion that flow visualization methodology can be classified into four main areas: direct, geometric, texture-based, and feature-based flow visualization. Our work focuses on the direct, geometric, and texture-based categories, with special emphasis on texture-based approaches.\r\n\r\nAfter presenting the state-of-the-art, we discuss a technique for resampling of CFD simulation data. The resampling tool addresses both the perceptual problems resulting from a brute force hedgehog visualization and flow field coverage problems. These challenges are handled by giving the user control of the resolution of the resampling grid in object space and giving the user precise control of where to place the vector glyphs.\r\n\r\nAfterward, we present a novel technique for visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependent vector fields with high spatio-temporal correlation. While the 3D vector fields are associated with arbitrary triangular surface meshes, the generation and advection of texture properties is confined to image space. Frame rates of up to 60 frames per second are realized by exploiting graphics card hardware. We apply this algorithm to unsteady flow on boundary surfaces of, large, complex meshes from computational fluid dynamics composed of more than 200,000 polygons, dynamic meshes with time-dependent geometry and topology, as well as medical data. We also apply texture-based flow visualization techniques to isosurfaces. The result is a combination of two well known scientific visualization techniques, namely iso-surfacing and texture-based flow visualization, into a useful hybrid approach.\r\n\r\nNext we describe our collection of geometric flow visualization techniques including oriented streamlines, streamlets, a streamrunner tool, streamcomets, and a real-time animated streamline technique. We place special emphasis on necessary measures required in order for geometric techniques to be applicable to real-world data sets.\r\n\r\nIn order to demonstrate the use of all techniques, we apply our direct, geometric, and texture-based flow visualization techniques to investigate swirl and tumble motion, two flow patterns found commonly in computational fluid dynamics (CFD). Our work presents a visual analysis of these motions across three spatial domains: 2D slices, 2.5D surfaces, and 3D. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "thesis-cover",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 587,
            "image_height": 605,
            "name": "Laramee-2004-thesis-thesis-cover.png",
            "type": "image/png",
            "size": 658381,
            "path": "Publication:Laramee-2004-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            221
        ],
        "date_end": "2004-12",
        "date_start": "2001-07",
        "supervisor": [
            176
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Laramee-2004-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 43104438,
                "path": "Publication:Laramee-2004-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-pdf:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "thesis-cover",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 587,
                "image_height": 605,
                "name": "Laramee-2004-thesis-thesis-cover.png",
                "type": "image/png",
                "size": 658381,
                "path": "Publication:Laramee-2004-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/Laramee-2004-thesis-thesis-cover:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "VRVis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Laramee-2004-thesis/",
        "__class": "Publication"
    },
    {
        "id": "viola-2004-gbf",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU-Based Frequency Domain Volume Rendering",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2004-04-15",
        "event": "SCCG",
        "location": "Budmerice",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "slides",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2004-gbf-slides.ppt",
                "type": "application/msword",
                "size": 873472,
                "path": "Publication:viola-2004-gbf",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-gbf/viola-2004-gbf-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-gbf/",
        "__class": "Publication"
    },
    {
        "id": "viola-2004-idv",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Volume Rendering",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2004-10-13",
        "event": "IDVR",
        "location": "Austin, USA",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "data",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2004-idv-data.zip",
                "type": "application/x-zip",
                "size": 17304308,
                "path": "Publication:viola-2004-idv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/viola-2004-idv-data.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/viola-2004-idv/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2004",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2004",
        "date": "2004",
        "abstract": "THE X-MAS GECKO\r\n\r\nThe image was created in one pass using direct multi-volume rendering of a single scene consisting of three different datasets. Only the eyes were added using 2D image processing.\r\n\r\nThe hat dataset is a distance field computed from a geometric model. The beard has been created by sculpting 3D Perlin noise. The gecko dataset is a X-ray computed tomography scan performed by the University of Veterinary Medicine Vienna.\r\n\r\nNo animals were harmed during the production of this image.\r\nDER WEIHNACHTSGECKO\r\n\r\nDas Bild wurde mit Direct Multi-Volume Rendering einer Szene bestehend aus drei verschiedenen Datensätzen erstellt. Nur die Augen wurden mit 2D Bildverarbeitung hinzugefügt.\r\n\r\nDie Mütze ist ein Distanzfeld, welches aus einem geometrischen Modell berechnet wurde. Der Bart wurde durch Sculpting von 3D Perlin Noise erzeugt. Der Gecko Datensatz ist eine Röntgencomputertomographie-Aufnahme, die von der Veterinärmedizinische Universität Wien durchgeführt wurde.\r\n\r\nBei der Erstellung dieses Bildes wurden keine Tiere verletzt.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 2096,
            "image_height": 1538,
            "name": "xmas-2004-image.jpg",
            "type": "image/jpeg",
            "size": 287354,
            "path": "Publication:xmas-2004",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "card",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2004-card.pdf",
                "type": "application/pdf",
                "size": 3016739,
                "path": "Publication:xmas-2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-card.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-card:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 2096,
                "image_height": 1538,
                "name": "xmas-2004-image.jpg",
                "type": "image/jpeg",
                "size": 287354,
                "path": "Publication:xmas-2004",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/xmas-2004-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/xmas-2004/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2004-stein",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Steinzeitliche Kreisgrabenanlagen in Niederösterreich",
        "date": "2004",
        "abstract": "Die Untersuchung der Tor-Orientierung von 28 jungsteinzeitlichen  Kreisgrabenanlagen (4800-4500 v.Chr.) ergab durchwegs Ausrichtungen zu bestimmten Auf- und Untergangspunkten der Sonne (z.B. Sonnwenden) und 4 ausgewählter Sterne, denen kalendarische Bedeutung zuzuordnen ist. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "date_from": "2004-12-04",
        "event": "5. Jahrestagung der Wiener Arbeitsgemeinschaft für Astronomie",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/zotti-2004-stein/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real time tone Mapping",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 677,
            "image_height": 325,
            "name": "Artusi-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 31688,
            "path": "Publication:Artusi-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191
        ],
        "date_end": "2004-04",
        "date_start": "2000-09",
        "supervisor": [
            190,
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 677,
                "image_height": 325,
                "name": "Artusi-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 31688,
                "path": "Publication:Artusi-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 3458503,
                "path": "Publication:Artusi-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/Artusi-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Artusi-thesis/",
        "__class": "Publication"
    },
    {
        "id": "dataset-strauss",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Johann Strauss Monument",
        "date": "2004",
        "abstract": "http://www.grafxbox.at/strauss/",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-strauss-image.jpg",
            "type": "image/jpeg",
            "size": 33566,
            "path": "Publication:dataset-strauss",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            569,
            570,
            224,
            222
        ],
        "research_areas": [],
        "keywords": [
            "dataset",
            "surface"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "1879400_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_iv.iv",
                "type": "model/vrml",
                "size": 147276632,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "1879400_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_obj.obj",
                "type": "text/plain",
                "size": 127242431,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "1879400_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_ply.ply",
                "type": "application/octet-stream",
                "size": 50408403,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "1879400_stl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_stl.stl",
                "type": "application/octet-stream",
                "size": 93970084,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_stl.stl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "1879400_wrl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_wrl.wrl",
                "type": "model/vrml",
                "size": 147276632,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "1879400_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-1879400_wrp.wrp",
                "type": "application/octet-stream",
                "size": 95529031,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-1879400_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_iv.iv",
                "type": "model/vrml",
                "size": 26799956,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_obj.obj",
                "type": "text/plain",
                "size": 21333577,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_ply.ply",
                "type": "application/octet-stream",
                "size": 9563221,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_stl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_stl.stl",
                "type": "application/octet-stream",
                "size": 23492584,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_stl.stl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_wrl.wrl",
                "type": "model/vrml",
                "size": 26799956,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "469850_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-strauss-469850_wrp.wrp",
                "type": "application/octet-stream",
                "size": 19671331,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-469850_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-strauss-image.jpg",
                "type": "image/jpeg",
                "size": 33566,
                "path": "Publication:dataset-strauss",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/dataset-strauss-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/dataset-strauss/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2004-efficient",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Volume Visualization of Large Medical Datasets",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2004-09-23",
        "event": "VRVis Forum",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/groeller-2004-efficient/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2004-imp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Image Generation in Scientific Visualization",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2004-11-09",
        "event": "Informatics Colloquium",
        "location": "Brno",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/groeller-2004-imp/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2004-sci",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scientific Visualization Techniques and Applications",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2004-10-15",
        "event": "Cyber College/ CSAM Colloquium Series",
        "location": "Little Rock",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/groeller-2004-sci/",
        "__class": "Publication"
    },
    {
        "id": "Hadwiger-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "High-Quality Visualization and Filtering of Textures and Segmented Volume Data on Consumer Graphics Hardware",
        "date": "2004",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 608,
            "image_height": 608,
            "name": "Hadwiger-thesis-image.jpg",
            "type": "image/jpeg",
            "size": 102122,
            "path": "Publication:Hadwiger-thesis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            226
        ],
        "date_end": "2004-05",
        "date_start": "2000-09",
        "supervisor": [
            166,
            176
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 608,
                "image_height": 608,
                "name": "Hadwiger-thesis-image.jpg",
                "type": "image/jpeg",
                "size": 102122,
                "path": "Publication:Hadwiger-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hadwiger-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 35634233,
                "path": "Publication:Hadwiger-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/Hadwiger-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/Hadwiger-thesis/",
        "__class": "Publication"
    },
    {
        "id": "haidacher-2004-FVV",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Merkmals-Visualisierung für Volumsdaten",
        "date": "2004",
        "abstract": "In diesem Paper werden Methoden vorgestellt, welche das Direct Volume Rendering (DVR) unterstutzen. Sie sollen vor allem dazu dienen, innere Strukturen und wichtige Details besser darzustellen. Die Methode Depth of Field adaptiert den Effekt der Tiefenunscharfe aus der Fotographie fur die Volumsvisualisierung. Der Fokusbereich wird dabei scharf dargestellt und je nach Entfernung in Blickrichtung vom Fokuspunkt und Linsenstarke, wird der jeweilige Bereich unscharfer dargestellt. Die Methode fuhrt dazu, dass der Benutzer schneller auf die wichtigen Teile des Datensatzes hingewiesen wird.\n\nDie weiteren Methoden beschaftigen sich mit der Darstellung der inneren Struktur von Objekten. Die Methode\ndes Focus+Context teilt dabei den Datensatz in einen Fokus und einen Kontextbereich. Objektteile, welche im Fokusbereich liegen, werden mittels DVR und den dazugehorigen Transferfunktionen gerendert. Der Rest\n wird mit einer nicht photorealistischen Methode gerendert, welche nur die Umrisse der Objekte darstellt. Bei 3D Dithering wird der Inhalt von gleichmaßig verteilten Wurfeln mit den vorgegebenen Transferfunktionen gerendert und vom dazwischen liegendem Rest werden nur die Konturen oder gar nichts dargestellt. Die\n letzte Methode, Magic Lamp, rendert Teile des Objektes mit DVR und den normalen Transferfunktionen nur\n    dann, wenn deren Gradient nahezu parallel zu einer einstellbaren Richtung ist. Die restlichen Teile des\n                           Objekts werden wieder nur durch ihre Konturen dargestellt.\n\nhttp://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/MHaidacher/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 313,
            "image_height": 205,
            "name": "haidacher-2004-FVV-.jpg",
            "type": "image/jpeg",
            "size": 54397,
            "path": "Publication:haidacher-2004-FVV",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            597
        ],
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 313,
                "image_height": 205,
                "name": "haidacher-2004-FVV-.jpg",
                "type": "image/jpeg",
                "size": 54397,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-:thumb{{size}}.png"
            },
            {
                "description": "Programm DOF (XP Version)",
                "filetitle": "binaries",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-binaries.zip",
                "type": "application/x-zip",
                "size": 5685812,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-binaries.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Handbuch zu DOF (.pdf)",
                "filetitle": "documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-documentation.pdf",
                "type": "application/pdf",
                "size": 590436,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-documentation.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-documentation:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-paper.pdf",
                "type": "application/pdf",
                "size": 6028327,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "picture1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 278,
                "image_height": 313,
                "name": "haidacher-2004-FVV-picture1.jpg",
                "type": "image/jpeg",
                "size": 53839,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-picture1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-picture1:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "picture2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 302,
                "image_height": 326,
                "name": "haidacher-2004-FVV-picture2.jpg",
                "type": "image/jpeg",
                "size": 64237,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-picture2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-picture2:thumb{{size}}.png"
            },
            {
                "description": "Source Code",
                "filetitle": "source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-source.zip",
                "type": "application/x-zip",
                "size": 112810,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-source.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "dith1",
                "filetitle": "video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video.avi",
                "type": "",
                "size": 1296960,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "FC5",
                "filetitle": "video10",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video10.avi",
                "type": "",
                "size": 201274,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video10.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "ML1 ",
                "filetitle": "video11",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video11.avi",
                "type": "",
                "size": 810254,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video11.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "dith2",
                "filetitle": "video2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video2.avi",
                "type": "",
                "size": 298308,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video2.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "dith3",
                "filetitle": "video3",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video3.avi",
                "type": "",
                "size": 540868,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video3.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "dith4",
                "filetitle": "video4",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video4.avi",
                "type": "",
                "size": 715494,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video4.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "DOF1",
                "filetitle": "video5",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video5.avi",
                "type": "",
                "size": 972826,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video5.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "FC1",
                "filetitle": "video6",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video6.avi",
                "type": "",
                "size": 388346,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video6.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "FC2",
                "filetitle": "video7",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video7.avi",
                "type": "",
                "size": 653510,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video7.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "FC3",
                "filetitle": "video8",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video8.avi",
                "type": "",
                "size": 576844,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video8.avi",
                "thumb_image_sizes": []
            },
            {
                "description": "FC4",
                "filetitle": "video9",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "haidacher-2004-FVV-video9.avi",
                "type": "",
                "size": 1212892,
                "path": "Publication:haidacher-2004-FVV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/haidacher-2004-FVV-video9.avi",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2004/haidacher-2004-FVV/",
        "__class": "Publication"
    },
    {
        "id": "Grimm-2003-CPU",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Memory Efficient Acceleration Structures and Techniques for CPU-based Volume Raycasting of Large Data",
        "date": "2003-11",
        "abstract": "Most CPU-based volume raycasting approaches achieve high performance by advanced memory layouts, space subdivision, and excessive pre-computing. Such approaches typically need an enormous amount of memory. They are limited to sizes which do not satisfy the medical data used in daily clinical routine. We present a new volume raycasting approach based on image-ordered raycasting with object-ordered processing, which is able to perform high-quality rendering of very large medical data in real-time on commodity computers. For large medical data such as the Visible Male (587x341x1878) we achieve rendering times up to 2.5 fps on a commodity notebook. We achieve this by introducing a memory efficient acceleration technique for on-the-fly gradient estimation and a memory efficient hybrid removal and skipping technique of transparent regions. We employ quantized binary histograms, granular resolution octrees, and a cell invisibility cache. These acceleration structures require a small extra storage of approximately 10%.",
        "authors_et_al": false,
        "substitute": "grimm-2004-memory",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "number": "TR-186-2-03-11",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Visible line/surface algorithms",
            "Raytracing",
            "Three-Dimensional graphics and realism"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Grimm-2003-CPU-paper.pdf",
                "type": "application/pdf",
                "size": 587708,
                "path": "Publication:Grimm-2003-CPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-CPU/Grimm-2003-CPU-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-CPU/Grimm-2003-CPU-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-CPU/",
        "__class": "Publication"
    },
    {
        "id": "La Cruz-2003-AEC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accuracy Evaluation of Different Centerline Approximations of Blood Vessels",
        "date": "2003-11",
        "abstract": "Accurate determination of the central vessel axis is a prerequisite for automated arteries diseases visualization and quantification. In this paper we present an evaluation of different methods used to approximate the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray casting technique using thresholds and maximum gradient-like stop criterion, pixel motion estimation between successive images called block matching, center of gravity and shape based segmentation. The Randomized Hough Transform and ellipse fitting using Lagrange Multiplier have been used as shape based segmentation techniques, fitting an elliptical shape to a set of points. The synthetic data simulate the peripheral arterial tree (aorta-to-pedal). The vessel diameter changes along the z-axis from about 0.7 to about 23 voxels. The data dimension is 256x256x768 with voxel size 0.5x0.5x0.5mm. In this data set the centerline is known and an estimation of the error is calculated in order to determine how precise a given method is and to classify it accordingly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168
        ],
        "number": "TR-186-2-03-12",
        "pages_from": "1",
        "pages_to": "TR-186-2-03-13Paper.pdf",
        "research_areas": [],
        "keywords": [
            "Medical Visualization",
            "Vessel Segmentation",
            "Centerline Detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "La Cruz-2003-AEC-paper.pdf",
                "type": "application/pdf",
                "size": 1706086,
                "path": "Publication:La Cruz-2003-AEC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/La Cruz-2003-AEC/La Cruz-2003-AEC-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/La Cruz-2003-AEC/",
        "__class": "Publication"
    },
    {
        "id": "La Cruz-2003-AECX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accuracy Evaluation of Different Centerline Approximations of Blood Vessels",
        "date": "2003-11",
        "abstract": "Accurate determination of the central vessel axis is a prerequisite for automated arteries diseases visualization and quantification. In this paper we present an evaluation of different methods used to approximate the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray casting technique using thresholds and maximum gradient-like stop criterion, pixel motion estimation between successive images called block matching, center of gravity and shape based segmentation. The Randomized Hough Transform and ellipse fitting using Lagrange Multiplier have been used as shape based segmentation techniques, fitting an elliptical shape to a set of points. The synthetic data simulate the peripheral arterial tree (aorta-to-pedal). The vessel diameter changes along the z-axis from about 0.7 to about 23 voxels. The data dimension is 256x256x768 with voxel size 0.5x0.5x0.5mm. In this data set the centerline is known and an estimation of the error is calculated in order to determine how precise a given method is and to classify it accordingly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            168
        ],
        "number": "TR-186-2-03-12",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Medical Visualization",
            "Vessel Segmentation",
            "Centerline Detection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "La Cruz-2003-AECX-paper.pdf",
                "type": "application/pdf",
                "size": 1706086,
                "path": "Publication:La Cruz-2003-AECX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/La Cruz-2003-AECX/La Cruz-2003-AECX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/La Cruz-2003-AECX/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2003-Bon",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bone Segmentation in CT-Angiography Data Using a Probabilistic Atlas",
        "date": "2003-11",
        "abstract": "Automatic segmentation of bony structures in CT angiography datasets is an essential pre-processing step necessary for most visualization and analysis tasks. Since traditional density and gradient operators fail in non-trivial cases (or at last require extensive operator work), we propose a new method for segmentation of CTA data based on a probabilistic atlas. Sorting densities and masks of previously manually segmented tissues to the atlas can constitute a statistical information base for latter accurate segmentation. In order to eliminate dimensional and anatomic variability of the atlas input datasets, these have to be spatially normalized (registered) first by applying a non-rigid transformation. After this transformation, densities and tissue masks are statistically processed (e.g. averaged) within the atlas. Records in the atlas can be later evaluated for estimating the probability of bone tissue in a voxel of an unsegmented dataset.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Straka-2003-Bon-.pdf",
            "type": "application/pdf",
            "size": 747482,
            "path": "Publication:Straka-2003-Bon",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Bon/Straka-2003-Bon-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Bon/Straka-2003-Bon-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            168,
            236,
            170,
            164,
            166
        ],
        "booktitle": "Vision, Modeling and Visualization",
        "pages_from": "505",
        "pages_to": "512",
        "publisher": "VMV",
        "research_areas": [],
        "keywords": [
            "Knowledge Based Segmentation",
            "CT Angiography",
            "Probabilistic Atlas",
            "Thin-Plate Spline",
            "Distance Fields",
            "Histogram Classficication"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2003-Bon-.pdf",
                "type": "application/pdf",
                "size": 747482,
                "path": "Publication:Straka-2003-Bon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Bon/Straka-2003-Bon-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Bon/Straka-2003-Bon-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Bon/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2003-CTA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Watershed Transform Combined with a Probabilistic Atlas for Medical Image Segmentation",
        "date": "2003-11",
        "abstract": "Recent advances in medical imaging technology using multiple detector-row computed tomography (CT) provide volumetric datasets with unprecedented spatial resolution. This has allowed for CT to evolve into an excellent non-invasive vascular imaging technology, commonly referred to as CT-angiography. Visualization of vascular structures from CT datasets is demanding, however, and identification of anatomic objects in CT-datasets is highly desirable. Density and/or gradient operators have been used most commonly to classify CT data. In CT angiography, simple density/gradient operators do not allow precise and reliable classification of tissues due to the fact that different tissues (e.g. bones and vessels) possess the same density range and may lie in close spatial vicinity. We hypothesize, that anatomic classification can be achieved more accurately, if both spatial location and density properties of volume data are taken into account. We present a combination of two well-known methods for volume data processing to obtain accurate tissue classification. 3D watershed transform is used to partition the volume data in morphologically consistent blocks and a probabilistic anatomic atlas is used to distinguish between different kinds of tissues based on their density.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            168,
            169,
            170,
            164,
            166
        ],
        "number": "TR-186-2-03-13",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Histogram Classification",
            "Thin-Plate-Spline",
            "Probabilistic Atlas",
            "Knowledge Based Segmentation",
            "CT Angiography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2003-CTA-paper.pdf",
                "type": "application/pdf",
                "size": 656919,
                "path": "Publication:Straka-2003-CTA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-CTA/Straka-2003-CTA-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-CTA/",
        "__class": "Publication"
    },
    {
        "id": "Bruckner-2003-The",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Inverse Warp: Non-Invasive Integration of Shear-Warp Volume Rendering into Polygon Rendering Pipelines",
        "date": "2003-11",
        "abstract": "In this paper, a simple and efficient solution for combining shear-warp volume rendering and the hardware graphics pipeline is presented. The approach applies an inverse warp transformation to the Z-Buffer, containing the rendered geometry. This information is used for combining geometry and volume data during compositing. We present applications of this concept which include hybrid volume rendering, i.e., concurrent rendering of polygonal objects and volume data, and volume clipping on convex clipping regions. Furthermore, it can be used to efficiently define regions with different rendering modes and transfer functions for focus+context volume rendering. Empirical results show that the approach has very low impact on performance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 300,
            "image_height": 300,
            "name": "Bruckner-2003-The-image.jpg",
            "type": "image/jpeg",
            "size": 16513,
            "path": "Publication:Bruckner-2003-The",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            161,
            202,
            176,
            166
        ],
        "booktitle": "Workshop on Vision, Modeling and Visualization",
        "editor": "T. Ertl, B. Girod, G. Greiner, H. Niemann, H.-P. Seidel, E. Steinbach, R. Westermann",
        "isbn": "3898380483",
        "pages_from": "529",
        "pages_to": "536",
        "publisher": "infix",
        "research_areas": [],
        "keywords": [
            "focus+context techniques",
            "clipping",
            "hybrid volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 300,
                "image_height": 300,
                "name": "Bruckner-2003-The-image.jpg",
                "type": "image/jpeg",
                "size": 16513,
                "path": "Publication:Bruckner-2003-The",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bruckner-2003-The-Paper.pdf",
                "type": "application/pdf",
                "size": 818840,
                "path": "Publication:Bruckner-2003-The",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Polygonal cone and polygonal sphere (DivX)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "Bruckner-2003-The-Polygonal cone and polygonal sphere (DivX).avi",
                "type": "video/x-msvideo",
                "size": 5707776,
                "path": "Publication:Bruckner-2003-The",
                "preview_name": "Bruckner-2003-The-Polygonal cone and polygonal sphere (DivX):preview.png",
                "preview_type": "image/png",
                "preview_size": 8759,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and polygonal sphere (DivX).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and polygonal sphere (DivX):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and polygonal sphere (DivX):video.mp4"
            },
            {
                "description": null,
                "filetitle": "Polygonal cone and volumetric sphere (DivX)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "Bruckner-2003-The-Polygonal cone and volumetric sphere (DivX).avi",
                "type": "video/x-msvideo",
                "size": 5657088,
                "path": "Publication:Bruckner-2003-The",
                "preview_name": "Bruckner-2003-The-Polygonal cone and volumetric sphere (DivX):preview.png",
                "preview_type": "image/png",
                "preview_size": 8913,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and volumetric sphere (DivX).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and volumetric sphere (DivX):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Polygonal cone and volumetric sphere (DivX):video.mp4"
            },
            {
                "description": null,
                "filetitle": "Volumetric Head and Polygonal Sphere (DivX)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 128,
                "preview_image_height": 128,
                "name": "Bruckner-2003-The-Volumetric Head and Polygonal Sphere (DivX).avi",
                "type": "video/x-msvideo",
                "size": 2213888,
                "path": "Publication:Bruckner-2003-The",
                "preview_name": "Bruckner-2003-The-Volumetric Head and Polygonal Sphere (DivX):preview.png",
                "preview_type": "image/png",
                "preview_size": 18711,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Volumetric Head and Polygonal Sphere (DivX).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Volumetric Head and Polygonal Sphere (DivX):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/Bruckner-2003-The-Volumetric Head and Polygonal Sphere (DivX):video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bruckner-2003-The/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2003-GPU",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "GPU-based Frequency Domain Volume Rendering",
        "date": "2003-11",
        "abstract": "Frequency domain volume rendering (FVR) is a volume rendering technique with lowest computational complexity as compared to other techniques. In this paper FVR algorithm is significantly accelerated by mapping the rendering stage to the GPU. The overall hardware-accelerated pipeline is discussed and the changes according to previous work are pointed-out. The three-dimensional transformation into frequency domain is done in a pre-processing step. The rendering step is computed completely on the GPU. First the projection slice is extracted. Four different interpolation schemes are used for resampling the slice from the data represented by a 3D texture. The extracted slice is transformed back into the spatial domain using the inverse Fast Fourier Transform. The rendering stage is implemented through shader programs running on programmable graphics hardware achieving highly interactive framerates.",
        "authors_et_al": false,
        "substitute": "Viola-2004-GPU",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 200,
            "name": "Viola-2003-GPU-image.jpg",
            "type": "image/jpeg",
            "size": 10116,
            "path": "Publication:Viola-2003-GPU",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "number": "TR-186-2-03-10",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Fourier Volume Rendering",
            "Fourier Transform",
            "Hardware Acceleration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 200,
                "name": "Viola-2003-GPU-image.jpg",
                "type": "image/jpeg",
                "size": 10116,
                "path": "Publication:Viola-2003-GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2003-GPU-paper.pdf",
                "type": "application/pdf",
                "size": 1205579,
                "path": "Publication:Viola-2003-GPU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/Viola-2003-GPU-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-GPU/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2003-Har",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages.",
        "date": "2003-10",
        "abstract": "Non-linear filtering is an important task for volume analysis. This\r\npaper presents hardware-based implementations of various nonlinear\r\nfilters for volume smoothing with edge preservation. The\r\nCg high-level shading language is used in combination with latest\r\nPC consumer graphics hardware. Filtering is divided into pervertex\r\nand per-fragment stages. In both stages we propose techniques\r\nto increase the filtering performance. The vertex program\r\npre-computes texture coordinates in order to address all contributing\r\ninput samples of the operator mask. Thus additional computations\r\nare avoided in the fragment program. The presented fragment\r\nprograms preserve cache coherence, exploit 4D vector arithmetic,\r\nand internal fixed point arithmetic to increase performance. We\r\nshow the applicability of non-linear filters as part of a GPU-based\r\nsegmentation pipeline. The resulting binary mask is compressed\r\nand decompressed in the graphics memory on-the-fly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 188,
            "name": "Viola-2003-Har-image.jpg",
            "type": "image/jpeg",
            "size": 8841,
            "path": "Publication:Viola-2003-Har",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "booktitle": "Proceedings of IEEE Visualization 2003",
        "editor": "G. Turk, J. van Wijk, K. Moorhead",
        "isbn": "0780381203",
        "pages_from": "309",
        "pages_to": "316",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [
            "Hardware Acceleration",
            "Segmentation",
            "Non-linear Filtering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 188,
                "name": "Viola-2003-Har-image.jpg",
                "type": "image/jpeg",
                "size": 8841,
                "path": "Publication:Viola-2003-Har",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2003-Har-Paper.pdf",
                "type": "application/pdf",
                "size": 325326,
                "path": "Publication:Viola-2003-Har",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/Viola-2003-Har-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-Har/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2003-Vis",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility in Computer Graphics",
        "date": "2003-09",
        "abstract": "Visibility computation is crucial for computer\ngraphics from its very beginning. The first visibility algorithms in\ncomputer graphics aimed to determine visible surfaces in a synthesized\nimage of a 3D scene. Nowadays there are many different visibility\nalgorithms for various visibility problems. We propose a new taxonomy\nof visibility problems that is based on a classification according to\nthe problem domain. We provide a broad overview of visibility problems\nand algorithms in computer graphics grouped by the proposed\ntaxonomy. The paper surveys visible surface algorithms, visibility\nculling algorithms, visibility algorithms for shadow computation,\nglobal illumination, point-based and image-based rendering, and global\nvisibility computations. Finally, we discuss common concepts of\nvisibility algorithm design and several criteria for the\nclassification of visibility algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            194
        ],
        "issn": "0265-8135",
        "journal": "Environment and Planning B: Planning and Design",
        "number": "5",
        "pages_from": "729",
        "pages_to": "756",
        "volume": "30",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bittner-2003-Vis/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2003-CCG",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "L’importanza del Colore in Computer Graphics",
        "date": "2003-07",
        "abstract": "Il colore rappresenta un’importante caratteristica, della realtá, di particolare interesse per molte applicazioni come: fotografia e stampa digitale, computer graphics, film restoration, color science ecc. Nonostante questo, molto spesso non viene presa in considerazione nel modo adeguato. La conseguenza di questo, é una rappresentazione non corretta della scena, dal punto di vista qualitativo, che molto spesso non é adeguata per gli scopi prefissati.\nLa Computer Graphics, é una di quelle applicazioni in cui la componente colore é di particolare importanza. Ma per molto tempo una sua non corretta rappresentazione é stata usata. Solo negli ultimi anni sono state intorodotte diverse metodologie, giá in uso in Colore Science. In questo articolo verrá presentato il processo di integrazione della componente colore in Computer Graphics, e i suoi aspetti importanti.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191
        ],
        "journal": "DDD_IL COLORE Rivista trimestrale Disegno e Design Digitale",
        "number": "5",
        "volume": "2",
        "research_areas": [],
        "keywords": [
            "Colorimetric characterization",
            "Computer Graphics",
            "Colour",
            "Gamut Mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Italian paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2003-CCG-Italian paper.pdf",
                "type": "application/pdf",
                "size": 409766,
                "path": "Publication:Artusi-2003-CCG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-CCG/Artusi-2003-CCG-Italian paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-CCG/Artusi-2003-CCG-Italian paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-CCG/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2003-Col",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Novel Colour Printer Characterization Model",
        "date": "2003-07",
        "abstract": "A key problem in multimedia systems is the faithful reproduction of color. One of the main reasons why this is a complicated issue are the different color reproduction technologies used by the various devices; displays use easily modeled additive color mixing, while printers use a subtractive process, the  characterization of which is much more complex than that of self--luminous displays.\r\n\r\nIn order to resolve these problems several processing steps are necessary, one of which is accurate device characterization. Our study examines different learning algorithms for one particular neural network technique which already has been found to be useful in related contexts -- namely radial basis function network models -- and proposes a modified learning algorithm which improves the colorimetric characterization process of printers.\r\n\r\nIn particular our results show that is possible to obtain good performance by using a learning algorithm that is trained on only small sets of color samples, and use it to generate a larger look--up table (LUT) through use of multiple polynomial regression or an interpolation algorithm. We deem our findings to be a good start point for further studies on learning algorithms used in conjunction with this problem.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            192
        ],
        "issn": "1017-9909",
        "journal": "Journal of Electronic Imaging",
        "number": "3",
        "pages_from": "448",
        "pages_to": "458",
        "volume": "12",
        "research_areas": [],
        "keywords": [
            "neural network",
            "Colorimetric characterization",
            "Radial basis function"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2003-Col-paper.pdf",
                "type": "application/pdf",
                "size": 169403,
                "path": "Publication:Artusi-2003-Col",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Col/Artusi-2003-Col-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Col/Artusi-2003-Col-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Col/",
        "__class": "Publication"
    },
    {
        "id": "PIRINGER-2003-HBOQ",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion Culling Using Hardware-Based Occlusion Queries",
        "date": "2003-07",
        "abstract": "Today, a major challenge of computer graphics is the generation of realistic images at rates that arouse the impression of fluid motion in the viewer. Of central importance in this context is the application of specialized hardware, which has experienced an impressive evolution in recent years, increasing both speed and functionality in a significant fashion. However, displaying complex scenes like whole cities requires dealing with such an amount of data, that dedicated acceleration algorithms are still necessary in order to cope with the tight temporal constraints. In doing so, methods for detecting invisible parts of the scenery play a key role. A particular challenge is classifying those objects in an efficient way which are invisible due to being entirely occluded by other objects in front of them. Although this visibility problem belongs to the classical tasks of computer graphics, just recently introduced extensions to the graphics hardware permit the design of new algorithms with fascinating opportunities, but also requirements that have been of no concern to previous approaches.\r\n\r\nThis master thesis deals with the task of developing an efficient algorithm for solving the visibility problem for arbitrary scenes, which is tailored towards the NV_occlusion_query OpenGL extension, in different ways:\r\n\r\nOne method approximates the potential occlusion within a given scenery from a certain viewpoint by constructing a directed acyclic graph, which is in turn used to be able to issue as many occlusion queries as possible in a concurrent fashion. Several extensions amend and improve the core algorithm by employing a more equal load balancing and exploiting both temporal and spatial coherence. Finally, this approach is extended by incorporating an appropriate spatial hierarchy.\r\n\r\nAlthough this technique is by and large significantly superior to rendering without occlusion culling, the obtained results are not satisfactory in every respect. Therefore, a second approach is proposed that does not rely on any graph. This hierarchical algorithm depends entirely on the visibility classification of previous frames and stresses thus the aspect of temporal coherence. Even though it is considerably simpler than the first approach, it yields superior and generally convincing results.\r\n\r\nBoth approaches are conservative (which means that they do not affect the correctness of the resulting image), but can easily be modified in a way that permits to trade off quality for speed by tolerating precisely definable mistakes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            451
        ],
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "occlusion queries",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "PIRINGER-2003-HBOQ-thesis.pdf",
                "type": "application/pdf",
                "size": 1448952,
                "path": "Publication:PIRINGER-2003-HBOQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/PIRINGER-2003-HBOQ-thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/PIRINGER-2003-HBOQ-thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/PIRINGER-2003-HBOQ/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-2003-Ins",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Architecture",
        "date": "2003-07",
        "abstract": "This paper presents a new method for the automatic modeling of architecture. Building designs are derived using split grammars, a new type of parametric set grammar based on the concept of shape. The paper also introduces an attribute matching system and a separate control grammar, which offer the flexibility required to model buildings using a large variety of different styles and design ideas. Through the adaptive nature of the design grammar used, the created building designs can either be generic or adhere closely to a specified goal, depending on the amount of data available.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 402,
            "image_height": 300,
            "name": "Wonka-2003-Ins-image.jpg",
            "type": "image/jpeg",
            "size": 21690,
            "path": "Publication:Wonka-2003-Ins",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            195,
            287
        ],
        "date_from": "2003-07-27",
        "date_to": "2003-07-31",
        "doi": "10.1145/882262.882324",
        "event": "ACM SIGGRAPH 2003",
        "issn": "0730-0301",
        "journal": "ACM Transaction on Graphics",
        "lecturer": [
            194,
            193
        ],
        "location": "San Diego, USA",
        "note": "Proceedings ACM SIGGRAPH 2003",
        "number": "3",
        "pages_from": "669",
        "pages_to": "677",
        "volume": "22",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "architecture",
            "shape grammars",
            "urban environments",
            "modeling",
            "real-time simulation",
            "building design"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 402,
                "image_height": 300,
                "name": "Wonka-2003-Ins-image.jpg",
                "type": "image/jpeg",
                "size": 21690,
                "path": "Publication:Wonka-2003-Ins",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wonka-2003-Ins-Paper.pdf",
                "type": "application/pdf",
                "size": 14620279,
                "path": "Publication:Wonka-2003-Ins",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-Paper:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Small video",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 320,
                "preview_image_height": 480,
                "name": "Wonka-2003-Ins-Small video.avi",
                "type": "video/x-msvideo",
                "size": 1359128,
                "path": "Publication:Wonka-2003-Ins",
                "preview_name": "Wonka-2003-Ins-Small video:preview.png",
                "preview_type": "image/jpeg",
                "preview_size": 15354,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-Small video.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-Small video:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/Wonka-2003-Ins-Small video:video.mp4"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wonka-2003-Ins/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2003-RTE",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rendering Time Estimation for Real-Time Rendering",
        "date": "2003-06",
        "abstract": "This paper addresses the problem of estimating the rendering time for a real-time simulation. We study different\nfactors that contribute to the rendering time in order to develop a framework for rendering time estimation. Given\na viewpoint (or view cell) and a list of potentially visible objects, we propose several algorithms that can give\nreasonable upper limits for the rendering time on consumer hardware. This paper also discusses several implementation\nissues and design choices that are necessary to make the rendering time predictable. Finally, we lay\nout two extensions to current rendering hardware which would allow implementing a system with constant frame\nrates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 484,
            "image_height": 388,
            "name": "Wimmer-2003-RTE-image.jpg",
            "type": "image/jpeg",
            "size": 28960,
            "path": "Publication:Wimmer-2003-RTE",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            194
        ],
        "booktitle": "Rendering Techniques 2003 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2003-06-25",
        "date_to": "2003-06-27",
        "editor": "Per Christensen and Daniel Cohen-Or",
        "isbn": "3-905673-03-7",
        "lecturer": [
            193
        ],
        "location": "Leuven, Belgium",
        "organization": "Eurographics",
        "pages_from": "118",
        "pages_to": "129",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "graphics hardware",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 484,
                "image_height": 388,
                "name": "Wimmer-2003-RTE-image.jpg",
                "type": "image/jpeg",
                "size": 28960,
                "path": "Publication:Wimmer-2003-RTE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-2003-RTE-Paper.pdf",
                "type": "application/pdf",
                "size": 2433769,
                "path": "Publication:Wimmer-2003-RTE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/Wimmer-2003-RTE-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Wimmer-2003-RTE/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2003-Del",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Delivering Interactivity to Complex Tone Mapping Operators",
        "date": "2003-06",
        "abstract": "The accurate display of high dynamic range images requires the application of complex tone mapping operators. These operators are computationally costly, which prevents their usage in interactive applications. We propose a general framework that delivers interactive performance to an important subclass of tone mapping operators, namely global tone mapping operators. The proposed framework consists of four steps: sampling the input image, applying the tone mapping operator, tting the point-sampled tone mapping curve, and reconstructing the tone mapping curve for all pixels of the input image. We show how to make use of recent graphics hardware while keeping the advantage of generality by performing tone mapping in software. We demonstrate the capabilities of our method by accelerating several common global tone mapping operators and integrating the operators in a real-time rendering application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 512,
            "image_height": 768,
            "name": "Artusi-2003-Del-image.jpg",
            "type": "image/jpeg",
            "size": 140358,
            "path": "Publication:Artusi-2003-Del",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            198,
            193,
            192
        ],
        "booktitle": "Rendering Techniques 2003 (Proceedings Eurographics Symposium on Rendering)",
        "date_from": "2003-06-25",
        "date_to": "2003-06-27",
        "editor": "Per Christensen and Daniel Cohen-Or",
        "isbn": "3-905673-03-7",
        "lecturer": [
            191
        ],
        "location": "Leuven, Belgium",
        "organization": "Eurographics",
        "pages_from": "38",
        "pages_to": "44",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 512,
                "image_height": 768,
                "name": "Artusi-2003-Del-image.jpg",
                "type": "image/jpeg",
                "size": 140358,
                "path": "Publication:Artusi-2003-Del",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2003-Del-Paper.pdf",
                "type": "application/pdf",
                "size": 16156109,
                "path": "Publication:Artusi-2003-Del",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/Artusi-2003-Del-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Artusi-2003-Del/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2003-wuka",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The 3D Wunderkammer, An Indexing by Placing Approach to the Image Storage and Retriveal",
        "date": "2003-06",
        "abstract": "The explosion of storage media size, and spreading of the\r\ninternet in the last decade resulted in a huge amount of images\r\nand multimedia material an average user has to deal\r\nwith. Traditional use of filenames and directories is just not\r\nsufficient any more. In contrast to the keywording and some\r\nkind of content based image retrieval, we introduce a novel\r\napproach of storing and retrieving images, and other multimedia\r\nmaterial using indexing by placing mechanism. The\r\nidea is to let the user place the images in the 3D environment,\r\nwhere the user can find the images easily again. The\r\nimages can be collected, modified, grouped together,... The\r\nprinciples described in the paper are implemented in the 3D\r\nWunderkammer system which is a multi-user client-server\r\napplication. The server is completely written in Java and\r\nthe client runs in a standard Web browser with a standard\r\nVRML plug-in.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "image",
            "filetitle": "jpg",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 190,
            "image_height": 110,
            "name": "matkovic-2003-wuka-jpg.jpg",
            "type": "image/jpeg",
            "size": 23113,
            "path": "Publication:matkovic-2003-wuka",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-jpg.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-jpg:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            630,
            450,
            26,
            586
        ],
        "booktitle": "Proceedings of Theory and Practice of Computer Graphics (TPCG) 2003",
        "date_from": "2003-06-03",
        "date_to": "2003-06-05",
        "isbn": "0769519423",
        "lecturer": [
            235
        ],
        "location": "Birmingham, UK",
        "organization": "University of Birmingham ",
        "publisher": "IEEE Computer Society Press,U.S. ",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "image",
                "filetitle": "jpg",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 190,
                "image_height": 110,
                "name": "matkovic-2003-wuka-jpg.jpg",
                "type": "image/jpeg",
                "size": 23113,
                "path": "Publication:matkovic-2003-wuka",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-jpg.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-jpg:thumb{{size}}.png"
            },
            {
                "description": "paper",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "matkovic-2003-wuka-pdf.pdf",
                "type": "application/pdf",
                "size": 1103795,
                "path": "Publication:matkovic-2003-wuka",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/matkovic-2003-wuka-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/matkovic-2003-wuka/",
        "__class": "Publication"
    },
    {
        "id": "Neum03CAMR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Appearance in \nMultispectral Radiosity",
        "date": "2003-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": "Neum03CAMR",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            457,
            232,
            207
        ],
        "booktitle": "Proceedings on 2^nd Computer Graphics and Geometry Conference",
        "pages_from": "194",
        "pages_to": "183",
        "research_areas": [],
        "keywords": [
            "Color Appearance",
            "Color System",
            "Multispectral Radiosity",
            "Coloroid"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Neum03CAMR/",
        "__class": "Publication"
    },
    {
        "id": "Viola-2003-NON",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages",
        "date": "2003-05",
        "abstract": "Non-linear filtering is an important task for volume analysis. This paper presents hardware-based implementations of various non-linear filters for edge-preserving volume smoothing. Cg high-level shading language is used in combination with latest PC consumer graphics hardware. Filtering is divided into per-vertex and per-fragment stages. In both stages we propose techniques to increase the filtering performance. The vertex program pre-computes texture coordinates in order to address all contributing input samples of the operator mask. Thus additional computations are avoided in the fragment program. The presented fragment programs preserve cache coherence, exploit 4D vector arithmetic, and internal fixed point arithmetic to increase performance. We show the applicability of non-linear filters as part of a GPU-based segmentation pipeline. The resulting binary mask is compressed and decompressed in the graphics memory on-the-fly.",
        "authors_et_al": false,
        "substitute": "Viola-2003-Har",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 188,
            "name": "Viola-2003-NON-image.jpg",
            "type": "image/jpeg",
            "size": 8841,
            "path": "Publication:Viola-2003-NON",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171,
            162,
            166
        ],
        "number": "TR-186-2-03-07",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Hardware Acceleration",
            "Non-Linear Filtering",
            "Segmentation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 188,
                "name": "Viola-2003-NON-image.jpg",
                "type": "image/jpeg",
                "size": 8841,
                "path": "Publication:Viola-2003-NON",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Viola-2003-NON-paper.pdf",
                "type": "application/pdf",
                "size": 389959,
                "path": "Publication:Viola-2003-NON",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/Viola-2003-NON-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Viola-2003-NON/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2003-ADV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Curved Planar Reformation: Flattening of Vascular Structures",
        "date": "2003-05",
        "abstract": "Traditional volume visualization techniques may provide incomplete clinical information needed for many\napplications in medical visualization. Especially in the area of vascular visualization important features\nsuch as the patent lumen of a diseased vessel segment may not be visible. Curved Planar Reformation (CPR)\nhas proven to be an acceptable practical solution. Existing CPR techniques, however, still have diagnostically\nrelevant limitations. In this paper we introduce two advanced methods for efficient vessel visualization,\nbased on the concept of CPR. Both methods benefit from relaxation of spatial coherence in favor of improved\nfeature perception. We present a new technique to visualize the interior of a vessel in a single image. A\nvessel is re-sampled along a spiral around the vessel central axis. The helical spiral depicts the vessel\nvolume. Furthermore, a method to display an entire vascular tree without mutually occluding vessels is\npresented. Minimal rotations around the branching points of a vessel tree eliminate occlusions. For each viewing\n                 direction the entire vessel structure is visible.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            165,
            164,
            166
        ],
        "number": "TR-186-2-03-08",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "curved planar reformation",
            "vessel analysis",
            "computed tomography angiography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-2003-ADV-paper.pdf",
                "type": "application/pdf",
                "size": 2427747,
                "path": "Publication:Kanitsar-2003-ADV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-ADV/Kanitsar-2003-ADV-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-ADV/",
        "__class": "Publication"
    },
    {
        "id": "Grimm-2003-HYP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hyper-Threaded Cache Coherent Raycasting",
        "date": "2003-04",
        "abstract": "Most volume rendering systems based on raycasting still suffer from inefficient CPU utilization and bad cache coherence. The recently introduced hyper-threading technology provides a solution to the first problem. This paper describes a raycasting system based on this new technology. To address the second problem the system is based on a bricked memory-layout. Bricking, however, requires an efficient addressing of data within and between blocks. We achieve this through two advanced address look-up tables.",
        "authors_et_al": false,
        "substitute": "grimm-2004-arefined",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            160,
            161,
            162,
            166
        ],
        "number": "TR-186-2-03-05",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "Hyper-threading",
            "Bricking",
            "CPU Utilization",
            "Raycasting",
            "Cache Trashing",
            "Simultaneous multi-threading"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Grimm-2003-HYP-paper.pdf",
                "type": "application/pdf",
                "size": 137275,
                "path": "Publication:Grimm-2003-HYP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-HYP/Grimm-2003-HYP-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-HYP/Grimm-2003-HYP-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Grimm-2003-HYP/",
        "__class": "Publication"
    },
    {
        "id": "Mattausch-2003-SIE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Strategies for Interactive Exploration of 3D Flow Using Evenly-Spaced Illuminated Streamlines",
        "date": "2003-04",
        "abstract": "This paper presents several strategies to\r\ninteractively explore 3D flow. Based on a fast\r\nilluminated streamlines algorithm, standard graphics\r\nhardware is sufficient to gain interactive rendering\r\nrates.  Our approach does not require the user to\r\nhave any prior knowledge of flow features. After the\r\nstreamlines are computed in a short preprocessing\r\ntime, the user can interactively change appearance\r\nand density of the streamlines to further explore the\r\nflow. Most important flow features like velocity or\r\npressure not only can be mapped to all available\r\nstreamline appearance properties like streamline\r\nwidth, material, opacity, but also to streamline\r\ndensity.  To improve spatial perception of the 3D\r\nflow we apply techniques based on animation, depth\r\ncueing, and halos along a streamline if it is crossed\r\nby another streamline in the foreground. Finally, we\r\nmake intense use of focus+context methods like magic\r\nvolumes, region of interest driven streamline\r\nplacing, and spotlights to solve the occlusion\r\n                 problem.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            175,
            176,
            166
        ],
        "number": "TR-186-2-03-04",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "3D flow visualization",
            "illuminated streamlines",
            "interactive exploration",
            "focus+context visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2003-SIE-paper.pdf",
                "type": "application/pdf",
                "size": 739785,
                "path": "Publication:Mattausch-2003-SIE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-SIE/Mattausch-2003-SIE-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-SIE/",
        "__class": "Publication"
    },
    {
        "id": "Mattausch-2003-Str",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Strategies for Interactive Exploration of 3D Flow Using Evenly-Spaced Illuminated Streamlines",
        "date": "2003-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326,
            175,
            176,
            166
        ],
        "booktitle": "Proceedings of Spring Conference on  Computer Graphics",
        "editor": "K. Joy",
        "isbn": "158113861x",
        "pages_from": "213  ",
        "pages_to": "222",
        "publisher": "SCCG",
        "research_areas": [],
        "keywords": [
            "flow visualization",
            "streamlines",
            "focus and context"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-Str/",
        "__class": "Publication"
    },
    {
        "id": "Knapp-2003-SAT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semi-Automatic Topology Independent Contour-Based 2 1/2 D Segmentation Using Live-Wire",
        "date": "2003-03",
        "abstract": "In general three-dimensional segmentation algorithms assume\nobjects to have connected homogeneous regions. However in some\ncases objects are defined by a fuzzy boundary surface and consist\nof an inhomogeneous internal structure. In the following a new\nthree-dimensional segmentation technique exploiting the contour\ndetection capabilities of live-wire is proposed: The algorithm\nconsists of two basic steps. First contours are outlined by the\nuser on a small number of planar cross-sections through the object\nusing live-wire. Second the traced contours are used for\nreconstructing the object surface automatically in each slice\nusing live-wire again. This user-friendly segmentation algorithm\nis independent from object topology as the topology is implicitly\n                 defined during the reconstruction process.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            172,
            162,
            166
        ],
        "number": "TR-186-2-03-06",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "connectivity graph",
            "image processing",
            "live-wire",
            "segmentation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Knapp-2003-SAT-paper.gz",
                "type": "application/x-empty",
                "size": 0,
                "path": "Publication:Knapp-2003-SAT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Knapp-2003-SAT/Knapp-2003-SAT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Knapp-2003-SAT/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2003-VCG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility in Computer Graphics",
        "date": "2003-03",
        "abstract": "Visibility computation is crucial for computer\r\ngraphics from its very beginning. The first visibility algorithms in\r\ncomputer graphics aimed to determine visible surfaces in a synthesized\r\nimage of a 3D scene. Nowadays there are many different visibility\r\nalgorithms for various visibility problems. We propose a new taxonomy\r\nof visibility problems that is based on a classification according to\r\nthe problem domain. We provide a broad overview of visibility problems\r\nand algorithms in computer graphics grouped by the proposed\r\ntaxonomy. The paper surveys visible surface algorithms, visibility\r\nculling algorithms, visibility algorithms for shadow computation,\r\nglobal illumination, point-based and image-based rendering, and global\r\nvisibility computations. Finally, we discuss common concepts of\r\nvisibility algorithm design and several criteria for the\r\nclassification of visibility algorithms.",
        "authors_et_al": false,
        "substitute": "Bittner-2003-Vis",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            194
        ],
        "number": "TR-186-2-03-03",
        "pages_from": "1",
        "pages_to": "23",
        "research_areas": [],
        "keywords": [
            "visibility",
            "real-time rendering",
            "shadows",
            "global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bittner-2003-VCG-paper.pdf",
                "type": "application/pdf",
                "size": 2931364,
                "path": "Publication:Bittner-2003-VCG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bittner-2003-VCG/Bittner-2003-VCG-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bittner-2003-VCG/",
        "__class": "Publication"
    },
    {
        "id": "Ulbricht-2003-TanX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tangible Augmented Reality for Computer Games",
        "date": "2003-02",
        "abstract": "In this paper we attempt to demonstrate that Tangible\r\nAugmented Reality is a highly effective environment for certain types\r\nof multiplayer computer games. We show the usefulness of this user\r\ninteraction paradigm through both theoretical argumentation and\r\npresentation of our prototype system. During the development of this\r\nsystem we evaluated several variants of the interaction techniques\r\nnecessary for the game, and we discuss the relative merits of some of\r\n                 them in this paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 576,
            "image_height": 424,
            "name": "Ulbricht-2003-TanX-.jpg",
            "type": "image/jpeg",
            "size": 116096,
            "path": "Publication:Ulbricht-2003-TanX",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/Ulbricht-2003-TanX-.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/Ulbricht-2003-TanX-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225,
            202
        ],
        "number": "TR-186-2-03-02",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "User Interface Design",
            "3D-Interaction",
            "Tangible User Interface",
            "Augmented Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 576,
                "image_height": 424,
                "name": "Ulbricht-2003-TanX-.jpg",
                "type": "image/jpeg",
                "size": 116096,
                "path": "Publication:Ulbricht-2003-TanX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/Ulbricht-2003-TanX-.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/Ulbricht-2003-TanX-:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Ulbricht-2003-TanX-paper.gz",
                "type": "application/octet-stream",
                "size": 910640,
                "path": "Publication:Ulbricht-2003-TanX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/Ulbricht-2003-TanX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-TanX/",
        "__class": "Publication"
    },
    {
        "id": "Zotti-2003-AMP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Multi-Purpose Virtual Reality Model of the Solar System (VRMoSS)",
        "date": "2003-02",
        "abstract": "This paper describes the development of the 3D graphics part of an\nastronomical education installation for school children, called the\nVirtual Control Room, as part of the ASH project (IST-1999-10859). The\ncontent is a very detailed model of our Solar System, which can be\nused with an augmented reality interface or remote controlled with an\n                 external XML capable control application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            237
        ],
        "number": "TR-186-2-03-01",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Astronomy and Space Education",
            "Educational Application",
            "Augmented Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Zotti-2003-AMP-paper.gz",
                "type": "application/octet-stream",
                "size": 5215236,
                "path": "Publication:Zotti-2003-AMP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zotti-2003-AMP/Zotti-2003-AMP-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zotti-2003-AMP/",
        "__class": "Publication"
    },
    {
        "id": "vessel2003",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vessel",
        "date": "2003-01-24",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "vessel2003-image.jpg",
            "type": "image/jpeg",
            "size": 5146,
            "path": "Publication:vessel2003",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "channel": "ORF2",
        "duration": "2:39",
        "program": "Modern Times",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "High quality 45.8 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "vessel2003-High quality 45.8 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 48033122,
                "path": "Publication:vessel2003",
                "preview_name": "vessel2003-High quality 45.8 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-High quality 45.8 MB (DivX Codec):video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "vessel2003-image.jpg",
                "type": "image/jpeg",
                "size": 5146,
                "path": "Publication:vessel2003",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Low quality 3.0 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "vessel2003-Low quality 3.0 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 3173044,
                "path": "Publication:vessel2003",
                "preview_name": "vessel2003-Low quality 3.0 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/vessel2003-Low quality 3.0 MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/vessel2003/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-2003-Rec",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction issues in volume visualization",
        "date": "2003",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            336,
            187,
            166
        ],
        "booktitle": "Data Visualization: The state of the art",
        "editor": "F. Post, G. Nielson, G.P. Bonneau",
        "isbn": "1402072597",
        "pages_from": "109",
        "pages_to": "124",
        "publisher": "Kluwer Academic Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Theussl-2003-Rec/",
        "__class": "Publication"
    },
    {
        "id": "Ulbricht-2003-Tan",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tangible Augmented Reality for Computer Games",
        "date": "2003",
        "abstract": "In this paper we attempt to demonstrate that Tangible Augmented Reality is a highly effective environment for certain types of multiplayer computer games. We show the usefulness of this user interaction paradigm through both theoretical argumentation and presentation of our prototype system. During the development of this system we evaluated several variants of the interaction techniques necessary for the game, and we discuss the relative merits of some of them in this paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            225,
            202
        ],
        "booktitle": "Proceedings of the Third IASTED International Conference on Visualization, Imaging and Image Processing",
        "isbn": "ISBN: 0889863822",
        "lecturer": [
            1305
        ],
        "note": "http://www.cg.tuwien.ac.at/~cu/tangibleAR/",
        "pages_from": "950",
        "pages_to": "954",
        "publisher": "ACTA Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Ulbricht-2003-Tan/",
        "__class": "Publication"
    },
    {
        "id": "viola-2003-hbn",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hardware-Based Nonlinear Filtering and Segmentation using High-Level Shading Languages Visualization",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "date_from": "2003-10-23",
        "event": "Visualization",
        "location": "Seattle, USA",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "slides",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "viola-2003-hbn-slides.ppt",
                "type": "application/msword",
                "size": 1370112,
                "path": "Publication:viola-2003-hbn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/viola-2003-hbn/viola-2003-hbn-slides.ppt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/viola-2003-hbn/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2003",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2003",
        "date": "2003",
        "abstract": "25 Jahre Computergraphik an der TU Wien\r\n\r\nGeschichte ist eng mit Personen verbunden. Die Geschichte der Computergraphik an der Technischen Universität Wien begann unabhängig voneinander an zwei Instituten. In beiden Fällen entstanden die ersten Diplomarbeiten im Jahr 1978. Eine Initiative begann mit Johann Weiß, der sich mit dem Tracken von Lichtstiften beschäftigte, und Georg Stonawski, der eine Diplomarbeit über GKS schrieb. Die zweite Initiative kam von Prof. Wilhelm Barth, der die zwei Diplomanden Emanuel Wenger und Edwin Scherzer die Programmiersprache Pascal um graphische Elemente erweitern ließ. Im Jahr 1980 begann Werner Purgathofer zusammen mit einigen anderen bei Prof. Barth als Assistent und schloss 1984 seine Dissertation ab. Anschließend baute er zusammen mit Michael Gervautz und anderen eine Computergraphik-Arbeitsgruppe auf, die hauptsächlich im Bereich Rendering aktiv war. Als Werner Purgathofer 1988 Professor wurde, stellte er M. Eduard Gröller ein, der die Arbeitsgruppe für Visualisierung gründete. 1990 wurde das Institut in \"Institut für Computergraphik\" umbenannt, 1991 organisierte die Gruppe die Jahrestagung der Eurographics in der Wiener Hofburg. Bald danach begann Michael Gervautz im Bereich Virtual Reality zu forschen, woraufhin er 1998 die Spinoff-Firma \"Imagination\" gründete und Dieter Schmalstieg die Leitung der Virtual Reality-Gruppe übernahm. Anfang 2000 gründete das Institut zusammen mit anderen ein Kompetenzzentrum für Virtual Reality und Visualisierung (VRVis), in dem jetzt Georg Stonawski Geschäftsführer und Helwig Hauser wissenschaftlicher Direktor sind. Nach diesen 25 Jahren arbeiten heute in Wien mehr als 100 Personen im Bereich innovativer Computergraphik.\r\n\r\nDie Karte wurde unter Verwendung von Adobe Illustrator und Photoshop auf einem Apple iBook produziert. Für die Farbkalibration des bei der Herstellung der physischen Karten verwendeten Druckers wurde die Software ProfileMaker von Gretag Macbeth verwendet.\r\n\r\nIdee: Werner Purgathofer\r\nBilder: Der Meister, Emanuel Wenger, Michael Gervautz, Robert F. Tobler, Michael Feda, Christoph Traxler, Michael Wimmer, Alexander Wilkie, Helwig Hauser, Anton L. Fuhrmann und das Kollektiv der Visualisierungsgruppe\r\nHerstellung: Alexander Wilkie \r\n\r\n\r\n25 Years of Computer Graphics at the TU Vienna\r\n\r\nHistory is strongly connected to people. The history of Computer Graphics at the Vienna University of Technology began independently at two institutes. In both cases the first diploma theses were written in 1978. One initiative was started by Johann Weiss, who implemented the tracking of a light pen, and Georg Stonawski, who wrote a thesis about GKS. The second initiative was by Prof. Wilhelm Barth, who worked with the two diploma students Emanuel Wenger and Edwin Scherzer on extending the programming language Pascal with graphical elements. Amongst others, Werner Purgathofer started to work as an assistant of Prof. Barth in 1980, and finished his PhD in 1984. Together with Michael Gervautz and other colleagues, he then built up a Computer Graphics group that was active mainly in the area of Rendering. When Werner Purgathofer became Professor in 1988, he employed M. Eduard Gröller, who in turn founded a Visualisation research group. In 1990 the institute was renamed to \"Institute of Computer Graphics\", in 1991 the group organized the annual Eurographics conference in the Vienna Hofburg. Soon after that, Michael Gervautz started research in the area of Virtual Reality, which led to the founding of the spin-off company \"Imagination\" in 1998. Since then, the Virtual Reality group was led by Dieter Schmalstieg. Together with others, the institute created a competence center for Virtual Reality and Visualisation (VRVis) in January 2000, of which Georg Stonawski is the CEO and Helwig Hauser is the scientific director. After these 25 years, there are now more than 100 people in Vienna working in the field of innovative Computer Graphics.\r\n\r\nThe card was produced using Adobe Illustrator and Photoshop on an Apple iBook. The colour calibration of the printer used for the production of the pysical cards was performed using Gretag Macbeth ProfileMaker software.\r\n\r\nIdea: Werner Purgathofer\r\nImages by: The Master, Emanuel Wenger, Michael Gervautz, Robert F. Tobler, Michael Feda, Christoph Traxler, Michael Wimmer, Alexander Wilkie, Helwig Hauser, Anton L. Fuhrmann and the collective of the Visualisation group\r\nProduction: Alexander Wilkie ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1596,
            "image_height": 1161,
            "name": "xmas-2003-image.jpg",
            "type": "image/jpeg",
            "size": 1378684,
            "path": "Publication:xmas-2003",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1596,
                "image_height": 1161,
                "name": "xmas-2003-image.jpg",
                "type": "image/jpeg",
                "size": 1378684,
                "path": "Publication:xmas-2003",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/xmas-2003-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/xmas-2003/",
        "__class": "Publication"
    },
    {
        "id": "Zambal-2003-SWA",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adapting the Shear Warp Algorithm to the BCC Grid",
        "date": "2003",
        "abstract": "http://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/SZambal/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "picture1",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 320,
            "image_height": 320,
            "name": "Zambal-2003-SWA-picture1.jpg",
            "type": "image/jpeg",
            "size": 8099,
            "path": "Publication:Zambal-2003-SWA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture1.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            498
        ],
        "supervisor": [
            175
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "picture1",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 320,
                "image_height": 320,
                "name": "Zambal-2003-SWA-picture1.jpg",
                "type": "image/jpeg",
                "size": 8099,
                "path": "Publication:Zambal-2003-SWA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture1.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture1:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "picture2",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 488,
                "image_height": 500,
                "name": "Zambal-2003-SWA-picture2.jpg",
                "type": "image/jpeg",
                "size": 33941,
                "path": "Publication:Zambal-2003-SWA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/Zambal-2003-SWA-picture2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Zambal-2003-SWA/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2003-ash",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The ASH Virtual Reality Model of the Solar System (VRMoSS)",
        "date": "2003",
        "abstract": "This paper describes the development of the 3D graphics part of an astronomical education installation for school children, called the Virtual Control Room. The content is a very detailed model of the Solar System, which can be used with an augmented reality interface or remote controlled with an external XML capable control application.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            237
        ],
        "address": "Anaheim, Calgary, Zurich",
        "booktitle": "Proc. of the Third IASTED Int. Conf. on Visualization, Imaging, and Image Processing",
        "editor": "M. H. Hamza",
        "isbn": "0-88986-382-2",
        "lecturer": [
            222
        ],
        "organization": "IASTED",
        "pages_from": "964",
        "pages_to": "969",
        "publisher": "ACTA Press",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Augmented Reality",
            "Educational Application",
            "Astronomy and Space Education"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/zotti-2003-ash/",
        "__class": "Publication"
    },
    {
        "id": "artusi-2003-int",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Delivering Interactivity to Complex Tone Mapping Operations",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191
        ],
        "date_to": "2003-03-15",
        "event": "EGSR Leuven",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "artusi-2003-int-paper.pdf",
                "type": "application/pdf",
                "size": 464818,
                "path": "Publication:artusi-2003-int",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/artusi-2003-int/artusi-2003-int-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/artusi-2003-int/artusi-2003-int-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/artusi-2003-int/",
        "__class": "Publication"
    },
    {
        "id": "Bartroli-2003-Geo",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometric Modeling for Virtual Colon Unfolding",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            166
        ],
        "booktitle": "?",
        "editor": "G. Brunnett, B. Hamann, H. M�ller, L. Linsen",
        "isbn": "ISBN: 3-540-40116-4",
        "pages": "?",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bartroli-2003-Geo/",
        "__class": "Publication"
    },
    {
        "id": "Bartroli-2003-Non",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nonlinear Virtual Colon Unfolding",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            165,
            166,
            340
        ],
        "booktitle": "European Congress of Radiology",
        "publisher": "ECR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bartroli-2003-Non-PDF.pdf",
                "type": "application/pdf",
                "size": 10461,
                "path": "Publication:Bartroli-2003-Non",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bartroli-2003-Non/Bartroli-2003-Non-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bartroli-2003-Non/Bartroli-2003-Non-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bartroli-2003-Non/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2003-Exa",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exact Regional Visibility Using Line-Space Partitioning",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            199,
            266
        ],
        "journal": "Computers & Graphics",
        "number": "4",
        "pages_from": "569",
        "pages_to": "580",
        "volume": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Bittner-2003-Exa/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2003-Geo",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometric Methods for Vessel Visualization and Quantification- A Survey",
        "date": "2003",
        "abstract": "Visualization and quantitative analysis of vessel data is an important preprocessing step in diagnosis of vascular diseases, monitoring, surgery planning, blood flow simulation, education and training surgeons. This paper surveys several geometric methods to solve basic visualization and quantification problems like centerline computation, boundary detection, projections techniques, and geometric model generation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231,
            189,
            168
        ],
        "booktitle": "Geometric Modelling for Scientific Visualization",
        "editor": "G. Brunnett, B. Hamann, H. Müller",
        "isbn": "ISBN: 3-540-40116-4",
        "pages": "?",
        "pages_from": "421",
        "pages_to": "399",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Buehler-2003-Geo/",
        "__class": "Publication"
    },
    {
        "id": "cosmas-2003-providing",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Providing Multimedia Tools for Recording, Reconstruction, Visualization and Database Storage/ Access of Archaeological Excavations",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            462,
            463,
            464,
            465,
            466,
            467,
            468,
            469,
            470,
            425,
            249,
            145,
            471,
            472,
            473,
            474,
            475,
            476
        ],
        "booktitle": "4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/cosmas-2003-providing/",
        "__class": "Publication"
    },
    {
        "id": "dataset",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Oger",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-image.jpg",
            "type": "image/jpeg",
            "size": 29222,
            "path": "Publication:dataset",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "surface",
            "dataset"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "19060_x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-19060_x.wrp",
                "type": "application/octet-stream",
                "size": 1035409,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-19060_x.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_3ds.3ds",
                "type": "image/tiff",
                "size": 533763,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_dxf.dxf",
                "type": "text/plain",
                "size": 8676551,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_iv.iv",
                "type": "model/vrml",
                "size": 2075751,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_obj.obj",
                "type": "text/plain",
                "size": 1446486,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_ply.ply",
                "type": "application/octet-stream",
                "size": 724508,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_wrl.wrl",
                "type": "model/vrml",
                "size": 1999413,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_wrp.wrp",
                "type": "application/octet-stream",
                "size": 1957441,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "38120_x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-38120_x.x",
                "type": "text/x-c++",
                "size": 3118631,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-38120_x.x",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "76240_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-76240_wrp.wrp",
                "type": "application/octet-stream",
                "size": 6556213,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-76240_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "9390_x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-9390_x.wrp",
                "type": "application/octet-stream",
                "size": 574393,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-9390_x.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-image.jpg",
                "type": "image/jpeg",
                "size": 29222,
                "path": "Publication:dataset",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/dataset-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset/",
        "__class": "Publication"
    },
    {
        "id": "dataset-cat",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cat",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-cat-image.jpg",
            "type": "image/jpeg",
            "size": 12524,
            "path": "Publication:dataset-cat",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "surface",
            "dataset"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "20000_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-20000_wrp.wrp",
                "type": "application/octet-stream",
                "size": 1048935,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-20000_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_3ds.3ds",
                "type": "image/tiff",
                "size": 420083,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_dxf.dxf",
                "type": "text/plain",
                "size": 6752041,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_iv.iv",
                "type": "model/vrml",
                "size": 1611367,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_obj.obj",
                "type": "text/plain",
                "size": 1116077,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_ply.ply",
                "type": "application/octet-stream",
                "size": 570228,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "30000_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-30000_wrl.wrl",
                "type": "model/vrml",
                "size": 1551268,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-30000_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "8000_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-8000_3ds.3ds",
                "type": "image/tiff",
                "size": 910083,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-8000_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "8000_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-8000_dxf.dxf",
                "type": "text/plain",
                "size": 17989379,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-8000_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "8000_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-8000_iv.iv",
                "type": "model/vrml",
                "size": 4402084,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-8000_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "8000_wrl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-8000_wrl.wrl",
                "type": "model/vrml",
                "size": 4241985,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-8000_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "80000_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-cat-80000_wrp.wrp",
                "type": "application/octet-stream",
                "size": 3951435,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-80000_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-cat-image.jpg",
                "type": "image/jpeg",
                "size": 12524,
                "path": "Publication:dataset-cat",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/dataset-cat-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-cat/",
        "__class": "Publication"
    },
    {
        "id": "dataset-chair",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Chair",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-chair-image.jpg",
            "type": "image/jpeg",
            "size": 12934,
            "path": "Publication:dataset-chair",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "dataset",
            "surface"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "12508_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-12508_wrl.wrl",
                "type": "model/vrml",
                "size": 690974,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-12508_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_3ds.3ds",
                "type": "image/tiff",
                "size": 175099,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_dxf.dxf",
                "type": "text/plain",
                "size": 3318052,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_iv.iv",
                "type": "model/vrml",
                "size": 716087,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_obj.obj",
                "type": "text/plain",
                "size": 509475,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_ply.ply",
                "type": "application/octet-stream",
                "size": 237783,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_wrp.wrp",
                "type": "application/octet-stream",
                "size": 612353,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-chair-18363_x.x",
                "type": "text/x-c++",
                "size": 985788,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-18363_x.x",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-chair-image.jpg",
                "type": "image/jpeg",
                "size": 12934,
                "path": "Publication:dataset-chair",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/dataset-chair-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-chair/",
        "__class": "Publication"
    },
    {
        "id": "dataset-dragon",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dragon",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-dragon-image.jpg",
            "type": "image/jpeg",
            "size": 22208,
            "path": "Publication:dataset-dragon",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "dataset",
            "surface"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "104256_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_3ds.3ds",
                "type": "image/tiff",
                "size": 910035,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_dxf.dxf",
                "type": "text/plain",
                "size": 28549566,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_iv.iv",
                "type": "model/vrml",
                "size": 6382299,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_obj.obj",
                "type": "text/plain",
                "size": 5183073,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_ply.ply",
                "type": "application/octet-stream",
                "size": 2137483,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_wrl.wrl",
                "type": "model/vrml",
                "size": 8050281,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "104256_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-dragon-104256_wrp.wrp",
                "type": "application/octet-stream",
                "size": 9666879,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-104256_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-dragon-image.jpg",
                "type": "image/jpeg",
                "size": 22208,
                "path": "Publication:dataset-dragon",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/dataset-dragon-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-dragon/",
        "__class": "Publication"
    },
    {
        "id": "dataset-duck",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Duck",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-duck-image.jpg",
            "type": "image/jpeg",
            "size": 20092,
            "path": "Publication:dataset-duck",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "surface",
            "dataset"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "12000_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_3ds.3ds",
                "type": "image/tiff",
                "size": 910083,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_3ds.3ds",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_dxf.dxf",
                "type": "text/plain",
                "size": 27079526,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_iv.iv",
                "type": "model/vrml",
                "size": 6634893,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_obj.obj",
                "type": "text/plain",
                "size": 4654607,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_ply.ply",
                "type": "application/octet-stream",
                "size": 2280229,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_wrl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_wrl.wrl",
                "type": "model/vrml",
                "size": 6394794,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "12000_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-12000_wrp.wrp",
                "type": "application/octet-stream",
                "size": 5202633,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-12000_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "50000_wrl",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-50000_wrl.wrp",
                "type": "application/octet-stream",
                "size": 2236377,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-50000_wrl.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_dxf.dxf",
                "type": "text/plain",
                "size": 15788061,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_dxf.dxf",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_iv.iv",
                "type": "model/vrml",
                "size": 3846062,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_obj.obj",
                "type": "text/plain",
                "size": 2690773,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_ply",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_ply.ply",
                "type": "application/octet-stream",
                "size": 1330228,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_ply.ply",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_wrl.wrl",
                "type": "model/vrml",
                "size": 3705963,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_wrl.wrl",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "70000_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-duck-70000_wrp.wrp",
                "type": "application/octet-stream",
                "size": 3083877,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-70000_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-duck-image.jpg",
                "type": "image/jpeg",
                "size": 20092,
                "path": "Publication:dataset-duck",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/dataset-duck-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-duck/",
        "__class": "Publication"
    },
    {
        "id": "dataset-ferris-wheel",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ferris wheel",
        "date": "2003",
        "abstract": "The Giant Ferris Wheel is a trademark of Vienna, built in 1897 to celebrate the Golden Jubilee of Emperor Franz Josef I.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-ferris-wheel-image.jpg",
            "type": "image/jpeg",
            "size": 49095,
            "path": "Publication:dataset-ferris-wheel",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "dataset",
            "surface"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-3ds.3DS",
                "type": "image/tiff",
                "size": 924330,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-3ds.3DS",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-dxf.DXF",
                "type": "text/plain",
                "size": 41747,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-dxf.DXF",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-ferris-wheel-image.jpg",
                "type": "image/jpeg",
                "size": 49095,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "iv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-iv.iv",
                "type": "text/plain",
                "size": 3348048,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-iv.iv",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "lwo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-lwo.lwo",
                "type": "application/octet-stream",
                "size": 818376,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-lwo.lwo",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-obj.obj",
                "type": "text/plain",
                "size": 2880019,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-wrl.WRL",
                "type": "model/vrml",
                "size": 3676363,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-wrl.WRL",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-ferris-wheel-x.x",
                "type": "text/x-c++",
                "size": 5770648,
                "path": "Publication:dataset-ferris-wheel",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/dataset-ferris-wheel-x.x",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-ferris-wheel/",
        "__class": "Publication"
    },
    {
        "id": "dataset-penguin",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Penguin",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-penguin-image.jpg",
            "type": "image/jpeg",
            "size": 16026,
            "path": "Publication:dataset-penguin",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "surface",
            "dataset"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "18363_3ds",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_3ds.3DS",
                "type": "image/tiff",
                "size": 370292,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_3ds.3DS",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_dxf",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_dxf.DXF",
                "type": "text/plain",
                "size": 5386853,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_dxf.DXF",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_lwo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_lwo.lwo",
                "type": "application/octet-stream",
                "size": 333214,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_lwo.lwo",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_obj",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_obj.obj",
                "type": "text/plain",
                "size": 1231512,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_obj.obj",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_raw",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_raw.raw",
                "type": "text/plain",
                "size": 1438764,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_raw.raw",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_wrl",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_wrl.WRL",
                "type": "model/vrml",
                "size": 1429512,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_wrl.WRL",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_wrp.wrp",
                "type": "application/octet-stream",
                "size": 906339,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "18363_x",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-penguin-18363_x.x",
                "type": "text/x-c++",
                "size": 1453701,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-18363_x.x",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-penguin-image.jpg",
                "type": "image/jpeg",
                "size": 16026,
                "path": "Publication:dataset-penguin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/dataset-penguin-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-penguin/",
        "__class": "Publication"
    },
    {
        "id": "dataset-tramway",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tramway",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 640,
            "image_height": 480,
            "name": "dataset-tramway-image.jpg",
            "type": "image/jpeg",
            "size": 33718,
            "path": "Publication:dataset-tramway",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            568,
            567,
            224
        ],
        "research_areas": [],
        "keywords": [
            "surface",
            "dataset"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "19684_wrp",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-tramway-19684_wrp.wrp",
                "type": "application/octet-stream",
                "size": 963157,
                "path": "Publication:dataset-tramway",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-19684_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "29368_wrp",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-tramway-29368_wrp.wrp",
                "type": "application/octet-stream",
                "size": 1927549,
                "path": "Publication:dataset-tramway",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-29368_wrp.wrp",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 640,
                "image_height": 480,
                "name": "dataset-tramway-image.jpg",
                "type": "image/jpeg",
                "size": 33718,
                "path": "Publication:dataset-tramway",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/dataset-tramway-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/dataset-tramway/",
        "__class": "Publication"
    },
    {
        "id": "Mattausch-2003-ISL",
        "type_id": "studentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evenly-Spaced Illuminated Streamlines in 3D",
        "date": "2003",
        "abstract": "http://www.cg.tuwien.ac.at/courses/projekte_old/vis/finished/OMattausch/Flow3DWeb/index.htm",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Screenshot",
            "filetitle": "picture",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 704,
            "image_height": 547,
            "name": "Mattausch-2003-ISL-picture.jpg",
            "type": "image/jpeg",
            "size": 70810,
            "path": "Publication:Mattausch-2003-ISL",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            326
        ],
        "supervisor": [
            175
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Flow3D Binaries",
                "filetitle": "binaries",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2003-ISL-binaries.zip",
                "type": "application/x-zip",
                "size": 68781,
                "path": "Publication:Mattausch-2003-ISL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-binaries.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Documentation",
                "filetitle": "documentation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2003-ISL-documentation.zip",
                "type": "application/x-zip",
                "size": 337137,
                "path": "Publication:Mattausch-2003-ISL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-documentation.zip",
                "thumb_image_sizes": []
            },
            {
                "description": "Screenshot",
                "filetitle": "picture",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 704,
                "image_height": 547,
                "name": "Mattausch-2003-ISL-picture.jpg",
                "type": "image/jpeg",
                "size": 70810,
                "path": "Publication:Mattausch-2003-ISL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture:thumb{{size}}.png"
            },
            {
                "description": "Smog dataset",
                "filetitle": "picture2",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 466,
                "image_height": 440,
                "name": "Mattausch-2003-ISL-picture2.jpg",
                "type": "image/jpeg",
                "size": 47576,
                "path": "Publication:Mattausch-2003-ISL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture2.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-picture2:thumb{{size}}.png"
            },
            {
                "description": "Flow3D Sourcecode",
                "filetitle": "source",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mattausch-2003-ISL-source.zip",
                "type": "application/x-zip",
                "size": 1663453,
                "path": "Publication:Mattausch-2003-ISL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/Mattausch-2003-ISL-source.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Mattausch-2003-ISL/",
        "__class": "Publication"
    },
    {
        "id": "neumann-2003-color",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Appearance in Multispectral Radiosity",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 418,
            "image_height": 395,
            "name": "neumann-2003-color-image.jpg",
            "type": "image/jpeg",
            "size": 36189,
            "path": "Publication:neumann-2003-color",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            457,
            232,
            207
        ],
        "booktitle": "Proceedings on the 2nd Hungarian Computergraphics and Geometry Conference",
        "editor": "L. Szirmay-Kalos, G. Renner",
        "isbn": "9634207669",
        "pages_from": "183",
        "pages_to": "194",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 418,
                "image_height": 395,
                "name": "neumann-2003-color-image.jpg",
                "type": "image/jpeg",
                "size": 36189,
                "path": "Publication:neumann-2003-color",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "neumann-2003-color-PDF.pdf",
                "type": "application/pdf",
                "size": 485386,
                "path": "Publication:neumann-2003-color",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/neumann-2003-color-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/neumann-2003-color/",
        "__class": "Publication"
    },
    {
        "id": "Psik-2003-IPI",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Invisible Person: Advanced Interaction Using an Embedded Interface",
        "date": "2003",
        "abstract": " We describe an advanced user interface enabling even playing games in an immersive virtual environment. There are no common input devices, users presence in the environment, movements, and body postures are only available tools for interacting with totally hidden computer. Furthermore, a publicly accessible installation in the Vienna Museum of Technology implementing such an advanced environment is described. In this installation computers are totally hidden, and it is one of the most popular exhibits in the museum, which has been accessed by more than 200,000 visitors since September 1999.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            26,
            235,
            453,
            454,
            234
        ],
        "booktitle": " Proceedings of Eurographics/Frauenhofer IAO Workshop on Virtual Environments 2003",
        "location": "New York, NY",
        "organization": "Eurographics",
        "pages_from": "29",
        "pages_to": "37",
        "series": " Proceedings of Eurographics",
        "research_areas": [],
        "keywords": [
            "museum installation",
            "user interface",
            "digital character",
            "virtual environment",
            "interactive"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "full paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Psik-2003-IPI-full paper.pdf",
                "type": "application/pdf",
                "size": 681152,
                "path": "Publication:Psik-2003-IPI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Psik-2003-IPI/Psik-2003-IPI-full paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Psik-2003-IPI/Psik-2003-IPI-full paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Psik-2003-IPI/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2003-fea",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature Extraction in Medical Visualization",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2003-06-02",
        "event": "Seminar 03231, Scientific Visualization: Extracting Information and Knowledge from Scientific Data Sets,",
        "location": "Dagstuhl, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/groeller-2003-fea/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2003-med",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Medizinische Visualisierung: CT Angiographie und weitere Beispiele",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2003-01-31",
        "location": "Universität Tübingen, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/groeller-2003-med/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2003-scie",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scientific Visualization in Medicine (or a Christmas-Tree in Heavan)",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2003-04-24",
        "event": "Central European Seminar on Computer Graphics",
        "location": "Budmerice, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/groeller-2003-scie/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2003-vol",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volumetric Feature Extraction in Medical Visualization",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2003-10-27",
        "event": "Stanford University School of Medicine Medicine, Radiological Sciences Laboratory,",
        "location": "Stanford, USA",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/groeller-2003-vol/",
        "__class": "Publication"
    },
    {
        "id": "Hadwiger-2003-MIP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "MIP-Mapping With Procedural and Texture-Based Magnification",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 524,
            "image_height": 476,
            "name": "Hadwiger-2003-MIP-image.jpg",
            "type": "image/jpeg",
            "size": 70558,
            "path": "Publication:Hadwiger-2003-MIP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            226,
            175,
            176,
            166
        ],
        "booktitle": "Sketches & Applications",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 524,
                "image_height": 476,
                "name": "Hadwiger-2003-MIP-image.jpg",
                "type": "image/jpeg",
                "size": 70558,
                "path": "Publication:Hadwiger-2003-MIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hadwiger-2003-MIP-PDF.pdf",
                "type": "application/pdf",
                "size": 577373,
                "path": "Publication:Hadwiger-2003-MIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/Hadwiger-2003-MIP-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hadwiger-2003-MIP/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-2003-Acc",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Access to surface properties up to order two for visualization algorithms",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176,
            175,
            166
        ],
        "booktitle": "?",
        "editor": "G. Brunnett, B. Hamann, H. M�ller, L. Linsen",
        "isbn": "16123786",
        "pages": "?",
        "pages_from": "107",
        "pages_to": "122",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Hauser-2003-Acc/",
        "__class": "Publication"
    },
    {
        "id": "Havran-2003-Exp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting Temporal Coherence in Ray Casted Walkthroughs",
        "date": "2003",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            198,
            312
        ],
        "booktitle": "Proceedings of Spring Conference on Computer Graphics",
        "editor": "K. Joy",
        "isbn": "802231837x",
        "pages_from": "164",
        "pages_to": "172",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Havran-2003-Exp/",
        "__class": "Publication"
    },
    {
        "id": "Havran-2003-Onc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "On comparing ray shooting algorithms",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            190
        ],
        "journal": "Computers & Graphics",
        "number": "4",
        "pages_from": "593",
        "pages_to": "604",
        "volume": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Havran-2003-Onc/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2003-Adva",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced Curved Planar Reformation: Flattering of Vascular Structures",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            165,
            164,
            166
        ],
        "booktitle": "Proceedings of IEEE Visualization",
        "editor": "G. Turk, J. van Wijk, K. Moorhead",
        "isbn": "0780381203",
        "lecturer": [
            162
        ],
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Adva/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2003-CTa",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "CT angiography: Multi-path curved planar reformation of the peripheral arterial tree",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            165,
            189,
            166
        ],
        "booktitle": "European Congress of Radiology",
        "publisher": "ECR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-2003-CTa-PDF.pdf",
                "type": "application/pdf",
                "size": 10426,
                "path": "Publication:Kanitsar-2003-CTa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-CTa/Kanitsar-2003-CTa-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-CTa/Kanitsar-2003-CTa-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-CTa/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2003-Dem",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Demonstration of different segmentation and visualization techniques by means of a complex real world object exemplified by a Christmas tree",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            175,
            184,
            170,
            166
        ],
        "booktitle": "European Congress of Radiology",
        "lecturer": [
            162
        ],
        "publisher": "ECR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-2003-Dem-PDF.pdf",
                "type": "application/pdf",
                "size": 10369,
                "path": "Publication:Kanitsar-2003-Dem",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/Kanitsar-2003-Dem-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Kanitsar-2003-Dem/",
        "__class": "Publication"
    },
    {
        "id": "Koechl-2003-Com",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comprehensive assessment of peripheral arteries using multi-path curved planar reformation of CTA datasets",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            169,
            162,
            322,
            166,
            164
        ],
        "booktitle": "European Congress of Radiology",
        "publisher": "ECR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koechl-2003-Com-PDF.pdf",
                "type": "application/pdf",
                "size": 10335,
                "path": "Publication:Koechl-2003-Com",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Koechl-2003-Com/Koechl-2003-Com-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Koechl-2003-Com/Koechl-2003-Com-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Koechl-2003-Com/",
        "__class": "Publication"
    },
    {
        "id": "Konyha-2003-Int",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive 3D Visualization of Rigid Body Systems",
        "date": "2003",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            756,
            235,
            176
        ],
        "booktitle": "Proceedings of IEEE Visualization",
        "editor": "G. Turk, J. van Wijk, K. Moorhead",
        "isbn": "0780381203",
        "pages_from": "539",
        "pages_to": "546",
        "publisher": "IEEE",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Konyha-2003-Int/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2003-3DW",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Watershed Transform Combined with a Probabilistic Atlas for Medical Image Segmentation",
        "date": "2003",
        "abstract": " Recent advances in medical imaging technology using multiple detector-row computed tomography (CT) provide volumetric datasets with unprecedented spatial resolution. This has allowed for CT to evolve into an excellent non-invasive vascular imaging technology, commonly referred to as CT-angiography. Visualization of vascular structures from CT datasets is demanding, however, and identification of anatomic objects in CT-datasets is highly desirable. Density and/or gradient operators have been used most commonly to classify CT data. In CT angiography, simple density/gradient operators do not allow precise and reliable classification of tissues due to the fact that different tissues (e.g. bones and vessels) possess the same density range and may lie in close spatial vicinity. We hypothesize, that anatomic classification can be achieved more accurately, if both spatial location and density properties of volume data are taken into account. We present a combination of two well-known methods for volume data processing to obtain accurate tissue classification. 3D watershed transform is used to partition the volume data in morphologically consistent blocks and a probabilistic anatomic atlas is used to distinguish between different kinds of tissues based on their density.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "Straka-2003-3DW-.pdf",
            "type": "application/pdf",
            "size": 1481982,
            "path": "Publication:Straka-2003-3DW",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-3DW/Straka-2003-3DW-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-3DW/Straka-2003-3DW-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            168,
            169,
            170,
            166,
            164
        ],
        "booktitle": "MIT 2003",
        "journal": "Journal of Medical Informatics & Technologies",
        "research_areas": [],
        "keywords": [
            "Thin-Plate-Spline",
            "Knowledge Based Segmentation Probabilist",
            "CT Angiography",
            "Histogram Classification"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2003-3DW-.pdf",
                "type": "application/pdf",
                "size": 1481982,
                "path": "Publication:Straka-2003-3DW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-3DW/Straka-2003-3DW-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-3DW/Straka-2003-3DW-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-3DW/",
        "__class": "Publication"
    },
    {
        "id": "Straka-2003-Apr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A probabilistic atlas of the lower extremity arterial tree for perpheral CT angiography",
        "date": "2003",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            167,
            170,
            168,
            169,
            166,
            164
        ],
        "booktitle": "European Congress of Radiology",
        "publisher": "ECR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "PDF",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Straka-2003-Apr-PDF.pdf",
                "type": "application/pdf",
                "size": 10487,
                "path": "Publication:Straka-2003-Apr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Apr/Straka-2003-Apr-PDF.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Apr/Straka-2003-Apr-PDF:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2003/Straka-2003-Apr/",
        "__class": "Publication"
    },
    {
        "id": "xmastree2002",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Xmastree",
        "date": "2002-12-20",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "xmastree2002-image.jpg",
            "type": "image/jpeg",
            "size": 6000,
            "path": "Publication:xmastree2002",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "channel": "ORF2",
        "duration": "2:08",
        "program": "Modern Times",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "High quality 40.4 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "xmastree2002-High quality 40.4 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 42332380,
                "path": "Publication:xmastree2002",
                "preview_name": "xmastree2002-High quality 40.4 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-High quality 40.4 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-High quality 40.4 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-High quality 40.4 MB (DivX Codec):video.mp4"
            },
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "xmastree2002-image.jpg",
                "type": "image/jpeg",
                "size": 6000,
                "path": "Publication:xmastree2002",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "Low quality 2.6 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "xmastree2002-Low quality 2.6 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 2767758,
                "path": "Publication:xmastree2002",
                "preview_name": "xmastree2002-Low quality 2.6 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-Low quality 2.6 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-Low quality 2.6 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/xmastree2002-Low quality 2.6 MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [
            "ADAPT",
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmastree2002/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-2002-RSH",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction Schemes for High Quality Raycasting                  of the Body-Centered Cubic Grid",
        "date": "2002-12",
        "abstract": "The body-centered cubic (BCC) grid has received attention\r\nin the volume visualization community recently due to its\r\nability to represent the same data with almost 30\\% fewer\r\nsamples as compared to the Cartesian cubic (CC) grid.\r\nIn this paper we present several resampling strategies for\r\nraycasting BCC grids. These strategies range from 2D\r\ninterpolation in planes to piece-wise linear (barycentric)\r\ninterpolation in a tetrahedral decomposition of the grid\r\nto trilinear and sheared trilinear interpolation.  We compare\r\nthem to raycasting with comparable resampling techniques in the\r\ncommonly used CC grid in terms of computational complexity and\r\n                 visual quality.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            326,
            196,
            166
        ],
        "number": "TR-186-2-02-11",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "interpolation",
            "body-centered cubic grid",
            "raycasting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Theussl-2002-RSH-paper.pdf",
                "type": "application/pdf",
                "size": 783454,
                "path": "Publication:Theussl-2002-RSH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Theussl-2002-RSH/Theussl-2002-RSH-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Theussl-2002-RSH/Theussl-2002-RSH-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Theussl-2002-RSH/",
        "__class": "Publication"
    },
    {
        "id": "neumann-2002-globcon",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Global Contrast Factor",
        "date": "2002-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            235,
            190
        ],
        "booktitle": "Seminar on Computer Graphics and Visualization",
        "editor": "E. Carling, A. Hast",
        "location": "Gavle, Sweden",
        "organization": "University of Gavle",
        "pages_from": "108",
        "pages_to": "119",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/neumann-2002-globcon/",
        "__class": "Publication"
    },
    {
        "id": "Hadwiger-2002-Fas",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters",
        "date": "2002-11",
        "abstract": "Current graphics hardware offers only very limited\r\nsupport for convolution operations, which is primarily\r\nintended for image processing. The input and\r\noutput sample grids have to coincide, making it impossible\r\nto use these features for more general filtering\r\ntasks such as image or texture resampling. Furthermore,\r\nmost hardware employs linear interpolation\r\nfor texture reconstruction purposes, incurring\r\nnoticeable artifacts. Higher-order interpolation via\r\ngeneral convolution is able to remove most of these\r\nartifacts. Real-time applications currently do not\r\nconsider higher-order filtering due to lack of hardware\r\nsupport. We present algorithms for extremely\r\nfast convolution on graphics hardware. This framework\r\ncan be used for general convolution tasks,\r\nbut is especially suited to substituting the native bilinear\r\nor tri-linear interpolation currently used for\r\ntexture magnification, while still achieving frame\r\nrates of up to 100 frames per second for full screen\r\nfiltering with bi-cubic interpolation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 200,
            "image_height": 202,
            "name": "Hadwiger-2002-Fas-image.jpg",
            "type": "image/jpeg",
            "size": 3996,
            "path": "Publication:Hadwiger-2002-Fas",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            226,
            171,
            175,
            176
        ],
        "booktitle": "Vision, Modeling and Visualization 2002",
        "pages_from": "155",
        "pages_to": "162",
        "publisher": "Akademische Verlagsgesellschaft Aka GmbH, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 200,
                "image_height": 202,
                "name": "Hadwiger-2002-Fas-image.jpg",
                "type": "image/jpeg",
                "size": 3996,
                "path": "Publication:Hadwiger-2002-Fas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hadwiger-2002-Fas-Paper.pdf",
                "type": "application/pdf",
                "size": 7403232,
                "path": "Publication:Hadwiger-2002-Fas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/Hadwiger-2002-Fas-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hadwiger-2002-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2002-FPVF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature-Preserving Volume Filtering",
        "date": "2002-08",
        "abstract": "In this paper a feature-preserving volume filtering\r\nmethod is presented. The basic idea is to minimize a three-component\r\nglobal error function penalizing the density and gradient errors\r\nand the curvature of the unknown filtered function.\r\nThe optimization problem leads to a\r\nlarge linear equation system defined by a sparse coefficient matrix.\r\nWe will show that such an equation system can be efficiently solved\r\nin frequency domain using fast Fourier transformation (FFT).\r\nFor the sake of clarity, first we illustrate our method on a\r\n2D example which is a dedithering problem.\r\nAfterwards the 3D extension is\r\ndiscussed in detail since we propose our method mainly for\r\nvolume filtering. We will show that the 3D version can be\r\nefficiently used for elimination of the typical staircase artifacts\r\nof direct volume rendering without losing fine details.\r\nUnlike local filtering techniques, our novel approach ensures a\r\nglobal smoothing effect. Previous global 3D methods are restricted to\r\nbinary volumes or segmented iso-surfaces and they are based on\r\narea minimization of one single reconstructed surface.\r\nIn contrast, our method is a general volume-filtering technique,\r\nimplicitly smoothing all the iso-surfaces at the same time.\r\nAlthough the strength of the presented algorithm is demonstrated\r\non a specific 2D and a specific 3D application, it is considered\r\nas a general mathematical tool for\r\n                  processing images and volumes.",
        "authors_et_al": false,
        "substitute": "Neumann-2002-Fea",
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 200,
            "image_height": 198,
            "name": "Csebfalvi-2002-FPVF-image.jpg",
            "type": "image/jpeg",
            "size": 11719,
            "path": "Publication:Csebfalvi-2002-FPVF",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            233,
            171,
            179,
            166
        ],
        "number": "TR-186-2-02-09",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "derivative and gradient estimation",
            "direct volume rendering",
            "antialiasing",
            "noise filtering",
            "feature-preserving smoothing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 198,
                "name": "Csebfalvi-2002-FPVF-image.jpg",
                "type": "image/jpeg",
                "size": 11719,
                "path": "Publication:Csebfalvi-2002-FPVF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-2002-FPVF-paper.gz",
                "type": "application/octet-stream",
                "size": 4311924,
                "path": "Publication:Csebfalvi-2002-FPVF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/Csebfalvi-2002-FPVF-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-FPVF/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2002-SBICG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smooth Shape-Based Interpolation using the Conjugate Gradient Method",
        "date": "2002-08",
        "abstract": "In this paper a novel technique for smooth shape-based interpolation of volume data\r\nis introduced.\r\nPreviously simple linear interpolation of signed\r\ndistance maps has been used in practice. As it will be shown, this approach\r\nresults in artifacts, since sharp edges appear along the original slices.\r\nIn order to obtain a smooth 3D implicit function generated\r\nby interpolating 2D distance maps, we use a global interpolation method instead of a\r\nhigher order local technique. The global curvature of the implicit function representing\r\nan isosurface is minimized using an iterative conjugate gradient method.\r\nBecause of the iterative approach the user can easily control the trade-off between\r\nthe smoothness of the isosurface and the computational cost of the refinement.\r\nAs opposed to previous techniques, like variational interpolation, our method can\r\ngenerate a reasonably good approximation of the ideal solution in a significantly\r\n                  shorter time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            177,
            162,
            166
        ],
        "number": "TR-186-2-02-10",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "shape-based interpolation",
            "conjugate gradient method",
            "volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-2002-SBICG-paper.gz",
                "type": "application/octet-stream",
                "size": 953100,
                "path": "Publication:Csebfalvi-2002-SBICG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-SBICG/Csebfalvi-2002-SBICG-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-SBICG/",
        "__class": "Publication"
    },
    {
        "id": "Wallisch-2002-INF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Information Highlighting by Color Dependent Depth Perception with Chromo-Stereoscopy",
        "date": "2002-07",
        "abstract": "Due to characteristics of the human visual system different colors induce different\ndepth perception. This chromo-stereoscopy has been already used for 3D data to enhance\na third spatial dimension. We propose to use chromo-stereoscopy for 2D abstract data.\nColor coding introduces a depth cue which encodes relevance with chromo-stereoscopy.\nThe focus information literally stands out as compared to the context information.\nWe applied this technique on two-dimensional graphs and multi-layer representations.\n                 Our approach can also be easily combined with other focus+context methods.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            181,
            182,
            162,
            166
        ],
        "number": "TR-186-2-02-08",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "animation",
            "multi-layer",
            "graphs",
            "focus+context",
            "chromo-stereoscopy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wallisch-2002-INF-paper.pdf",
                "type": "application/pdf",
                "size": 756342,
                "path": "Publication:Wallisch-2002-INF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Wallisch-2002-INF/Wallisch-2002-INF-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Wallisch-2002-INF/",
        "__class": "Publication"
    },
    {
        "id": "Jeschke-2002-TDM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Textured Depth Meshes for Real-Time Rendering of Arbitrary Scenes",
        "date": "2002-06",
        "abstract": "This paper presents a new approach to generate textured depth\r\nmeshes (TDMs), an impostor-based scene representation that can be\r\nused to accelerate the rendering of static polygonal models. The\r\nTDMs are precalculated for a fixed viewing region (view cell).\r\n\r\nThe approach relies on a layered rendering of the scene to produce\r\na voxel-based representation. Secondary, a highly complex polygon\r\nmesh is constructed that covers all the voxels. Afterwards, this\r\nmesh is simplified using a special error metric to ensure that all\r\nvoxels stay covered. Finally, the remaining polygons are resampled\r\nusing the voxel representation to obtain their textures.\r\n\r\nThe contribution of our approach is manifold: first, it can handle\r\npolygonal models without any knowledge about their structure.\r\nSecond, only scene parts that may become visible from within the\r\nview cell are represented, thereby cutting down on impostor\r\ncomplexity and storage costs. Third, an error metric guarantees\r\nthat the impostors are practically indistinguishable compared to\r\nthe original model (i.e. no rubber-sheet effects or holes appear\r\nas in most previous approaches). Furthermore, current graphics\r\nhardware is exploited for the construction and use of the\r\nimpostors.",
        "authors_et_al": false,
        "substitute": "Jeschke-2002-TDMR",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193
        ],
        "number": "TR-186-2-02-13",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Computer Graphics",
            "Walkthrough",
            "Rendering",
            "Impostors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jeschke-2002-TDM-paper.pdf",
                "type": "application/pdf",
                "size": 974004,
                "path": "Publication:Jeschke-2002-TDM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDM/Jeschke-2002-TDM-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDM/",
        "__class": "Publication"
    },
    {
        "id": "Jeschke-2002-TDMR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Textured Depth Meshes for Real-Time Rendering of Arbitrary Scenes",
        "date": "2002-06",
        "abstract": "This paper presents a new approach to generate textured depth\nmeshes (TDMs), an impostor-based scene representation that can be\nused to accelerate the rendering of static polygonal models. The\nTDMs are precalculated for a fixed viewing region (view cell).\n\nThe approach relies on a layered rendering of the scene to produce\na voxel-based representation. Secondary, a highly complex polygon\nmesh is constructed that covers all the voxels. Afterwards, this\nmesh is simplified using a special error metric to ensure that all\nvoxels stay covered. Finally, the remaining polygons are resampled\nusing the voxel representation to obtain their textures.\n\nThe contribution of our approach is manifold: first, it can handle\npolygonal models without any knowledge about their structure.\nSecond, only scene parts that may become visible from within the\nview cell are represented, thereby cutting down on impostor\ncomplexity and storage costs. Third, an error metric guarantees\nthat the impostors are practically indistinguishable compared to\nthe original model (i.e. no rubber-sheet effects or holes appear\nas in most previous approaches). Furthermore, current graphics\nhardware is exploited for the construction and use of the\nimpostors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 282,
            "image_height": 202,
            "name": "Jeschke-2002-TDMR-image.jpg",
            "type": "image/jpeg",
            "size": 14976,
            "path": "Publication:Jeschke-2002-TDMR",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193
        ],
        "booktitle": "Rendering Techniques 2002 (Proceedings Eurographics Workshop on Rendering)",
        "date_from": "2002-06-26",
        "date_to": "2002-06-28",
        "editor": "Paul Debevec and Simon Gibson",
        "isbn": "1-58133-534-3",
        "lecturer": [
            356
        ],
        "location": "Pisa, Italy",
        "organization": "Eurographics",
        "pages_from": "181",
        "pages_to": "190",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Rendering",
            "Walkthrough",
            "Computer Graphics",
            "Impostors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 282,
                "image_height": 202,
                "name": "Jeschke-2002-TDMR-image.jpg",
                "type": "image/jpeg",
                "size": 14976,
                "path": "Publication:Jeschke-2002-TDMR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/Jeschke-2002-TDMR-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-TDMR/",
        "__class": "Publication"
    },
    {
        "id": "Jeschke-2002-LEM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Layered Environment-Map Impostors for Arbitrary Scenes",
        "date": "2002-05",
        "abstract": "This paper presents a new impostor-based approach to\r\naccelerate the rendering of very complex static scenes. The scene\r\nis partitioned into viewing regions, and a layered impostor\r\nrepresentation is precalculated for each of them. An optimal\r\nplacement of impostor layers guarantees that our representation is\r\nindistinguishable from the original geometry. Furthermore the\r\nalgorithm exploits common graphics hardware both during\r\npreprocessing and rendering. Moreover the impostor representation\r\nis compressed using several strategies to cut down on storage\r\n                 space.",
        "authors_et_al": false,
        "substitute": "Jeschke-2002-LEMA",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193,
            357
        ],
        "number": "TR-186-2-02-12",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "environment maps",
            "impostors",
            "image-based rendering",
            "walkthroughs",
            "virtual environments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jeschke-2002-LEM-paper.pdf",
                "type": "application/pdf",
                "size": 489353,
                "path": "Publication:Jeschke-2002-LEM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEM/Jeschke-2002-LEM-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEM/",
        "__class": "Publication"
    },
    {
        "id": "Jeschke-2002-LEMA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Layered Environment-Map Impostors for Arbitrary Scenes",
        "date": "2002-05",
        "abstract": "This paper presents a new impostor-based approach to\naccelerate the rendering of very complex static scenes. The scene\nis partitioned into viewing regions, and a layered impostor\nrepresentation is precalculated for each of them. An optimal\nplacement of impostor layers guarantees that our representation is\nindistinguishable from the original geometry. Furthermore the\nalgorithm exploits common graphics hardware both during\npreprocessing and rendering. Moreover the impostor representation\nis compressed using several strategies to cut down on storage\n                 space.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1272,
            "image_height": 1272,
            "name": "Jeschke-2002-LEMA-image.jpg",
            "type": "image/jpeg",
            "size": 163229,
            "path": "Publication:Jeschke-2002-LEMA",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193,
            357
        ],
        "booktitle": "Proceedings of Graphics Interface 2002",
        "date_from": "2002-05-27",
        "date_to": "2002-05-29",
        "editor": "Wolfgang Stürzlinger and Michael McCool",
        "isbn": "1-56881-183-7",
        "lecturer": [
            356
        ],
        "location": "Calgary, CA",
        "pages_from": "1",
        "pages_to": "8",
        "publisher": "AK Peters Ltd.",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "virtual environments",
            "environment maps",
            "impostors",
            "walkthroughs",
            "image-based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1272,
                "image_height": 1272,
                "name": "Jeschke-2002-LEMA-image.jpg",
                "type": "image/jpeg",
                "size": 163229,
                "path": "Publication:Jeschke-2002-LEMA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/Jeschke-2002-LEMA-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Jeschke-2002-LEMA/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-2002-Fea",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature-Preserving Volume Filtering",
        "date": "2002-05",
        "abstract": "In this paper a feature-preserving volume filtering method is presented. The basic idea is to minimize a three-component global error function penalizing the density and gradient errors and the curvature of the unknown filtered function. The optimization problem leads to a large linear equation system defined by a sparse coefficient matrix. We will show that such an equation system can be efficiently solved in frequency domain using fast Fourier transformation (FFT). For the sake of clarity, first we illustrate our method on a 2D example which is a dedithering problem. Afterwards the 3D extension is discussed in detail since we propose our method mainly for volume filtering. We will show that the 3D version can be efficiently used for elimination of the typical staircase artifacts of direct volume rendering without losing fine details. Unlike local filtering techniques, our novel approach ensures a global smoothing effect. Previous global 3D methods are restricted to binary volumes or segmented iso-surfaces and they are based on area minimization of one single reconstructed surface. In contrast, our method is a general volume-filtering technique, implicitly smoothing all the iso-surfaces at the same time. Although the strength of the presented algorithm is demonstrated on a specific 2D and a specific 3D application, it is considered as a general mathematical tool for processing images and volumes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 718,
            "image_height": 717,
            "name": "Neumann-2002-Fea-image.jpg",
            "type": "image/jpeg",
            "size": 96628,
            "path": "Publication:Neumann-2002-Fea",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            233,
            171,
            179,
            166
        ],
        "booktitle": "Data Visualization 2002",
        "pages_from": "105",
        "pages_to": "114",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [
            "antialiasing, noise filtering",
            "derivative and gradient estimation",
            "feature-preserving smoothing",
            "direct volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 718,
                "image_height": 717,
                "name": "Neumann-2002-Fea-image.jpg",
                "type": "image/jpeg",
                "size": 96628,
                "path": "Publication:Neumann-2002-Fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-2002-Fea-Paper.pdf",
                "type": "application/pdf",
                "size": 835899,
                "path": "Publication:Neumann-2002-Fea",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/Neumann-2002-Fea-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Neumann-2002-Fea/",
        "__class": "Publication"
    },
    {
        "id": "Masterthesis-Viola",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Applications of Hardware-Accelerated Filtering in Computer Graphics",
        "date": "2002-04",
        "abstract": "Two of the most important issues of computer graphics – especially in raster graphics and volume\r\nvisualisation – are sampling and reconstruction. These operations must fulfill particular conditions\r\nof sampling theory in order to be able to represent arbitrary continuous functions by discrete samples\r\nand reconstruct them from these samples without significant information loss. Several approaches\r\nfor high-quality reconstruction have been introduced to the computer graphics community. These\r\napproaches are mostly implemented in software, possible only as pre-process step. The only two\r\nways of reconstruction that are usually fast enough for real-time rendering are nearest neighbor and\r\nlinear interpolation filtering, but the quality of these filtering processes is often not sufficient.\r\nThis work summarizes the hardware-based methods that exploit the features of today’s graphics\r\nchips for filtering tasks. These methods are divided in two parts, i.e., high-resolution filtering and\r\nimage processing. Both methods are based on the distribution principle of convolution known from\r\nsplatting based volume rendering algorithms and they share the same general principle. The difference\r\nis in the implementation of the algorithms themselves.\r\nHigh-resolution filtering employs high-order filters in order to improve the quality of resampling\r\ntremendously. The implemented algorithms exploit symmetry or separability properties to make the\r\nfiltering more efficient. We compare it to the existing, natively supported solution, i.e., linear interpolation\r\nto our filtering implementation using higher order filters. This is shown in various application\r\nareas like surface-texturing, and solid-texturing, animated textures, or derivative filtering; at interactive\r\nframerates.\r\nThe image processing algorithms are simplified general filtering algorithms to increase effciency\r\nand performance. We show the usability on smoothing and edge detection, the important operations of\r\nimage processing and pattern recognition. We combine this techniques together with other hardware\r\nfeatures to provide hardware-accelerated artistic rendering techniques. These are also presented in a\r\nrendering system that provides non-photorealistic rendering effects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 571,
            "image_height": 475,
            "name": "Masterthesis-Viola-image.jpg",
            "type": "image/jpeg",
            "size": 38111,
            "path": "Publication:Masterthesis-Viola",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            171
        ],
        "note": "1",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 571,
                "image_height": 475,
                "name": "Masterthesis-Viola-image.jpg",
                "type": "image/jpeg",
                "size": 38111,
                "path": "Publication:Masterthesis-Viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Masterthesis-Viola-Thesis.pdf",
                "type": "application/pdf",
                "size": 6332164,
                "path": "Publication:Masterthesis-Viola",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/Masterthesis-Viola-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Masterthesis-Viola/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-Imp",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Rendering of Globally Illuminated Soft Glossy Scenes With Directional Light Maps",
        "date": "2002-03",
        "abstract": "Directional light maps allow to display globally illuminated static scenes with soft glossy surfaces at interactive frame-rates. They store the spatially and directionally varying incoming light at a surface in form of textures for a global set of incoming light directions. The directional light maps can be generated in a photon tracing preprocessing step. During a walkthrough they are used to render the globally illuminated surfaces with graphics hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            190
        ],
        "number": "TR-186-2-02-05",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "light map",
            "hardware acceleration",
            "interactive walkthrough",
            "glossy surface",
            "global illumination",
            "real-time rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-2001-Imp-paper.pdf",
                "type": "application/pdf",
                "size": 441836,
                "path": "Publication:Hey-2001-Imp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-2001-Imp/Hey-2001-Imp-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-2001-Imp/",
        "__class": "Publication"
    },
    {
        "id": "kanitsar-2002-Chr",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Christmas Tree Case Study: Computed Tomography as a Tool for Mastering Complex Real World Objects with Applications in Computer Graphics",
        "date": "2002-03",
        "abstract": "We report on using computed tomography (CT) as a model acquisition\ntool for complex objects in computer graphics. Unlike other modeling\nand scanning techniques the complexity of the object is irrelevant in\nCT, which naturally enables to model objects with, for example,\nconcavities, holes, twists or fine surface details. Once the data is\nscanned, one can apply post-processing techniques aimed at its further\nenhancement, modification or presentation. For demonstration purposes\nwe chose to scan a Christmas tree which exhibits high complexity which\nis difficult or even impossible to handle with other\ntechniques. However, care has to be taken to achieve good scanning\nresults with CT. Further, we illustrate the post-processing by means\nof data segmentation and photorealistic as well as non-photorealistic\n\t\t surface and volume rendering techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            175,
            184,
            170,
            459,
            233,
            187,
            188,
            172,
            165,
            189,
            164,
            190,
            166
        ],
        "number": "TR-186-2-02-07",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [],
        "keywords": [
            "volume visualization",
            "computed tomography",
            "modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kanitsar-2002-Chr-paper.pdf",
                "type": "application/pdf",
                "size": 2000473,
                "path": "Publication:kanitsar-2002-Chr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/kanitsar-2002-Chr/kanitsar-2002-Chr-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/kanitsar-2002-Chr/",
        "__class": "Publication"
    },
    {
        "id": "kanitsar-2002-CPRX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "CPR - Curved Planar Reformation",
        "date": "2002-03",
        "abstract": "Visualization of tubular structures such as blood vessels is an\nimportant topic in medical imaging. One way to display tubular\nstructures for diagnostic purposes is to generate longitudinal\ncross-sections in order to show their lumen, wall, and surrounding\ntissue in a curved plane. This process is called Curved Planar\nReformation (CPR). We present three different methods to generate\nCPR images. A tube-phantom was scanned with Computed Tomography (CT)\nto illustrate the properties of the different CPR methods. Furthermore\nwe introduce enhancements to these methods: thick-CPR, rotating-CPR\n  \t\t and multi-path-CPR.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            165,
            189,
            166
        ],
        "number": "TR-186-2-02-06",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "curved planar reformation",
            "vessel analysis",
            "computed tomography angiography"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "kanitsar-2002-CPRX-paper.pdf",
                "type": "application/pdf",
                "size": 2153735,
                "path": "Publication:kanitsar-2002-CPRX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/kanitsar-2002-CPRX/kanitsar-2002-CPRX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/kanitsar-2002-CPRX/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2002-NRE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "New Realistic Tone mapping Algorithm",
        "date": "2002-02",
        "abstract": "To properly reproduce a highy dynamic\nrange image on a graphic display system is a harder problem than is\ncommonly acknowledged. The last years have seen great progress in\nthis area, and for non-interactive tone mapping problems adequate\nlevels of realism have already been demonstrated, namely through the\nmultiscale model of adaptation of Pattanaik et al.. Unfortunately,\nthe high computational cost of their methods has so far precluded\ntheir use for the purposes of real-time rendering, and they have also\nbeen confined to single images without a temporal dependency.\nConversely, the work of Tumblin et al. have demonstrated time\ndependency and interactivity for tone mapping techniques, but at the\ncost of significantly reduced realism. In this report we present a\nnew high-quality time-dependent tone mapping algorithm which is\ncomparable to the work of Pattanaik et al. in terms of visual\nrealism, and demonstrate its viability on a number of test\n                 scenes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            192
        ],
        "number": "TR-186-2-02-03",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "Human Visual system",
            "Color sensitivity",
            "Visual acuity",
            "Glare",
            "Time-Dependency"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2002-NRE-paper.pdf",
                "type": "application/pdf",
                "size": 406148,
                "path": "Publication:Artusi-2002-NRE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Artusi-2002-NRE/Artusi-2002-NRE-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Artusi-2002-NRE/",
        "__class": "Publication"
    },
    {
        "id": "TR-186-2-02-04",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Error Metric for Layered Environment Map Impostors",
        "date": "2002-02",
        "abstract": "Impostors are image-based primitives commonly used to replace complex geometry in order to accelerate the\nrendering of large virtual environments. This paper describes\na “layered impostor technique” used for representing distant scene-parts when seen from a bounded viewing region. A special layer placement is derived\nwhich bounds the geometric error introduced by parallaxes to a defined value. In combination with a special\ntechnique for image generation, a high-quality impostor representation without image artifacts can be obtained.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 819,
            "image_height": 318,
            "name": "TR-186-2-02-04-image.jpg",
            "type": "image/jpeg",
            "size": 83442,
            "path": "Publication:TR-186-2-02-04",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            356,
            193
        ],
        "number": "TR-186-2-02-04",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "impostors, real-time rendering, virtual"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 819,
                "image_height": 318,
                "name": "TR-186-2-02-04-image.jpg",
                "type": "image/jpeg",
                "size": 83442,
                "path": "Publication:TR-186-2-02-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Technical report",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "TR-186-2-02-04-Technical report.pdf",
                "type": "application/pdf",
                "size": 400627,
                "path": "Publication:TR-186-2-02-04",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-Technical report.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/TR-186-2-02-04-Technical report:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/TR-186-2-02-04/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-2002-SSI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart surface interrogation for advanced visualization techniques",
        "date": "2002-01",
        "abstract": "Highly elaborated visualization techniques that are\nbased on surfaces often are independent from the\norigin of the surface data. Nevertheless, most of the\nrecently presented advanced visualization methods\nwere developed for a specific type of surface\nalthough principally applicable to generic\nsurfaces. In this paper we discuss a unified surface\ninterrogation model which provides generic access to\nsurface properties up to degree two, i.e., surface\npoint locations, normals, and curvature properties,\n(almost) regardless of the origin of the\nsurface. Surface types and interrogation algorithms\nare compared and summarized. At the end of this paper\nwe present an object-oriented implementation of this\n\t\t model, called SMURF.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176,
            175,
            197,
            166
        ],
        "number": "TR-186-2-02-01",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "surface properties",
            "surfaces",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hauser-2002-SSI-paper.pdf",
                "type": "application/pdf",
                "size": 765074,
                "path": "Publication:Hauser-2002-SSI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hauser-2002-SSI/Hauser-2002-SSI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hauser-2002-SSI/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2002-NRT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "New Real-Time Tone mapping Algorithm",
        "date": "2002-01",
        "abstract": "The conversion from real-world to\ndisplay luminance is known as tone-mapping, and the goals of the\nso-called tone mapping operator are to reproduce visibility and the\noverall impression of brightness, contrast and color. To truly\nrealize this means to employ a very complex algorithm that exactly\nsimulates how the human visual system is working. Due to its\ncomplexity, such a simulation cannot be used inside a real-time\napplication. This means that realistic tone mapping models so far\ncould not be used in interactive rendering applications, and that one\nhad to resort to simpler, less convincing techniques in this case. We\ndemostrate a new approach with which it is finally possible to use a\n                 realistic tone mapping model in a real time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            192
        ],
        "number": "TR-186-2-02-02",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "Texture Mapping",
            "Rendering Systems",
            "Reflectance & Shading Models",
            "Image-Based Rendering",
            "Graphics Systems",
            "Computer Vision",
            "Color"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2002-NRT-paper.pdf",
                "type": "application/pdf",
                "size": 367637,
                "path": "Publication:Artusi-2002-NRT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Artusi-2002-NRT/Artusi-2002-NRT-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Artusi-2002-NRT/",
        "__class": "Publication"
    },
    {
        "id": "Bartroli-2002-Pro",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Projected Slabs: Approximation of Perspective projection and Error Analysis",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            165,
            166
        ],
        "journal": "Journal of Visualization and Computer Animation",
        "number": "5",
        "pages_from": "253",
        "pages_to": "262",
        "volume": "12",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Bartroli-2002-Pro/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2002-Fas",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast and Reliable Plotting of Implicit Curves",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "booktitle": "Uncertainty Geometric Computations",
        "pages_from": "15",
        "pages_to": "28",
        "publisher": "Kluwer Academic Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Buehler-2002-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2002-Imp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implicit Linear Interval Estimations",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "booktitle": "Spring Conference on Computer Graphics 2002",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Buehler-2002-Imp/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2002-Smo",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smooth Shape-Based Interpolation using the Conjugate Gradient Method",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            177,
            162,
            166
        ],
        "booktitle": "Vision, Modeling, and Visualization 2002",
        "lecturer": [
            233
        ],
        "publisher": "Akademische Verlagsgesellschaft Aka GmbH, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Csebfalvi-2002-Smo/",
        "__class": "Publication"
    },
    {
        "id": "dataset-christmastree",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Christmas tree",
        "date": "2002",
        "abstract": "The Christmas tree model was scanned with a Siemens Somatom Plus 4 Volume Zoom Multislice-CT scanner at the general hospital in Vienna.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1024,
            "image_height": 1024,
            "name": "dataset-christmastree-image.jpg",
            "type": "image/jpeg",
            "size": 298554,
            "path": "Publication:dataset-christmastree",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "research_areas": [],
        "keywords": [
            "volume",
            "data set"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "128x124x128",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-christmastree-128x124x128.zip",
                "type": "application/x-zip",
                "size": 1349963,
                "path": "Publication:dataset-christmastree",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-128x124x128.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "170x166x170",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-christmastree-170x166x170.zip",
                "type": "application/x-zip",
                "size": 3172729,
                "path": "Publication:dataset-christmastree",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-170x166x170.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "256x249x256",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-christmastree-256x249x256.zip",
                "type": "application/x-zip",
                "size": 10674584,
                "path": "Publication:dataset-christmastree",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-256x249x256.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "512x499x512",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "dataset-christmastree-512x499x512.zip",
                "type": "application/x-zip",
                "size": 83445544,
                "path": "Publication:dataset-christmastree",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-512x499x512.zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1024,
                "image_height": 1024,
                "name": "dataset-christmastree-image.jpg",
                "type": "image/jpeg",
                "size": 298554,
                "path": "Publication:dataset-christmastree",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/dataset-christmastree-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/dataset-christmastree/",
        "__class": "Publication"
    },
    {
        "id": "Devlin-2002-STA",
        "type_id": "otherreviewed",
        "tu_id": null,
        "repositum_id": null,
        "title": "STAR Report on Tone Reproduction and Physically Based Spectral Rendering",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            304,
            305,
            192,
            190
        ],
        "booktitle": "Eurographics 2002",
        "publisher": "Eurographics Association",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "realreflect"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Devlin-2002-STA/",
        "__class": "Publication"
    },
    {
        "id": "Dorfmueller-Ulhaas-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optical Tracking - From User Motion To 3D Interaction",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            201
        ],
        "date_end": "2002-12",
        "date_start": "2000-10",
        "supervisor": [
            190,
            202
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Dorfmueller-Ulhaas-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 7602301,
                "path": "Publication:Dorfmueller-Ulhaas-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Dorfmueller-Ulhaas-thesis/Dorfmueller-Ulhaas-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Dorfmueller-Ulhaas-thesis/Dorfmueller-Ulhaas-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Dorfmueller-Ulhaas-thesis/",
        "__class": "Publication"
    },
    {
        "id": "tobler02_amrmg",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Multiresolution Mesh Generation Approach for Procedural Definition of Complex Geometry",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            228,
            192
        ],
        "booktitle": "Shape Modeling International 2002",
        "date_from": "2002-05-17",
        "date_to": "2002-05-22",
        "isbn": "0-7695-1546-0",
        "lecturer": [
            216
        ],
        "location": "Banff, Alberta, Canada",
        "pages_from": "35",
        "pages_to": "42",
        "publisher": "IEEE",
        "research_areas": [
            "Geometry",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/tobler02_amrmg/",
        "__class": "Publication"
    },
    {
        "id": "tobler02_mbpls",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mesh-Based Parametrized L-Systems and Generalized Subdivision for Generating Complex Geometry",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            228,
            192
        ],
        "journal": "International Journal of Shape Modeling",
        "number": "2",
        "pages_from": "173",
        "pages_to": "191",
        "volume": "8",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/tobler02_mbpls/",
        "__class": "Publication"
    },
    {
        "id": "Wagner-2002-End",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Endo View: A Phantom Study of a Tracked Virtual Bronchoscopy",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            382,
            165,
            166
        ],
        "journal": "Journal of WSCG",
        "number": "2",
        "pages_from": "493",
        "pages_to": "498",
        "volume": "10",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Wagner-2002-End/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2002",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2002",
        "date": "2002",
        "abstract": "Der Blick auf Wien wurde Hartmann Schedels Weltchronik (1493) entnommen.\r\n\r\nDas Motiv \"Die Könige folgen dem Stern\" findet sich im Atlas Catalan der Bibliothèque Nationale de France (14. Jahrhundert). Es wurde für die Karte etwas überarbeitet.\r\n\r\nDie drei Buchstaben stehen für die Initialen der Magoi (gr.: Meister).\r\n\r\nDer Himmel basiert auf einem Screenshot von VRMoSS, dem Virtual Reality Model of the Solar System, entwickelt für das EU-Projekt \"ASH\" (http://www.ashproject.org, jetzt http://www.virtualcontrolroom.org). Es stellt den Blick auf den abendlichen Westhimmel im November des Jahres 7 v.u.Z. dar, an dem eine Konjunktion von Jupiter (Königsstern der chaldäischen Astrologie) und Saturn (Stern der Juden) vor dem Hintergrund der Fische (der Region Palästina zugeordnet) sichtbar war. Dieses Ereignis ist eine der besten natürlichen Erklärungen für den Biblischen \"Stern der Weisen\". Die Planeten sind stark vergrößert dargestellt. Der Lichtkegel des Zodiakallichts (an interplanetarem Staub gestreutes Sonnenlicht) wurde während der Nachbearbeitung eingefügt.\r\n\r\nDas Gesamtbild wurde mit GIMP, dem freien GNU Image Manipulation Programm, erstellt. \r\n\r\nIdee, Materialien: Attila Neumann, Georg Zotti, Alexander Wilkie und andere.\r\nVRMoSS, Ausführung: Georg Zotti (2002) \r\n\r\n\r\nThe lower part of the image is a woodcut of Vienna taken from Hartmann Schedel's Chronicle Of The World (1493).\r\n\r\nThe image \"The Kings Follow the Star\" was taken from the Atlas Catalan, Bibliothèque Nationale de France (14th Century) and slightly modified. According to central European tradition, one of the kings was a Moor.\r\n\r\nThe three letters represent the initials of the Magi (gr.: Master).\r\n\r\nThe sky image is a screenshot from VRMoSS (Virtual Reality Model of the Solar System), developed at our institute for the EU project \"ASH\" (http://www.ashproject.org, now http://www.virtualcontrolroom.org). It represents the evening sky of mid-November of the year 7 B.C.E., showing the close conjunction of Jupiter (star of the kings in Chaldean astrology) and Saturn (star of the Jews) - both greatly enlarged - in the constellation of Pisces (the fishes; related to Palestine), which is one of the best natural explanations of the biblical story of the star followed by the magi (\"wise men\" or \"kings\"). The light cone of the Zodiacal Light (sunlight reflected by dust in the Solar System) has been added during the postprocessing.\r\n\r\nThe image has been composed with GIMP, the free GNU Image Manipulation Program.\r\n\r\nIdea, material: Attila Neumann, Georg Zotti, Alexander Wilkie, and others.\r\nVRMoSS, artwork: Georg Zotti (2002) ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1280,
            "image_height": 995,
            "name": "xmas-2002-image.tif",
            "type": "image/tiff",
            "size": 2032078,
            "path": "Publication:xmas-2002",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image.tif",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222,
            232,
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1280,
                "image_height": 995,
                "name": "xmas-2002-image.tif",
                "type": "image/tiff",
                "size": 2032078,
                "path": "Publication:xmas-2002",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image.tif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/xmas-2002-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/xmas-2002/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2002-Adv",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced radiance Estimation for Photon Map Global Illumination",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            190
        ],
        "journal": "Computer Graphics Forum",
        "number": "3",
        "volume": "21",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-2002-Adv/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2002-Imp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance sampling with hemispherical particle footprints",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            313
        ],
        "booktitle": "Spring Conference on Computer Graphics 2002",
        "publisher": "ACM",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-2002-Imp/",
        "__class": "Publication"
    },
    {
        "id": "Hey-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photorealistic and Hardware Accelerated Rendering of Complex Scenes",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200
        ],
        "date_end": "2002-05",
        "date_start": "1998-12",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 3695858,
                "path": "Publication:Hey-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-thesis/Hey-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-thesis/Hey-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hey-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2002-Exp",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting the Hessian matrix for content-based retrieval of volume-data features",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "journal": "Visual Computer",
        "number": "4",
        "pages_from": "207",
        "pages_to": "217",
        "volume": "18",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hladuvka-2002-Exp/",
        "__class": "Publication"
    },
    {
        "id": "hladuvka-2002-exploiting",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting the Hessian matrix for content -based retrieval of volume-data features",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "journal": "Visual Computer",
        "number": "18",
        "pages_from": "207",
        "pages_to": "217",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/hladuvka-2002-exploiting/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2002-Sma",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smallest second-order derivatives for efficient volume-data representation",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "journal": "Computers & Graphics",
        "number": "2",
        "pages_from": "229",
        "pages_to": "238",
        "volume": "26",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Hladuvka-2002-Sma/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2002-Chri",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Christmas Tree Case Study: Computed Tomography as a Tool for Mastering Complex Real World Objects with Applications in Computer Graphics",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "booktitle": "Proceedings of IEEE Visualization",
        "pages_from": "489",
        "pages_to": "492",
        "publisher": "IEEE Computer Society Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Kanitsar-2002-Chri/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2002-CPR",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "CPR- Curved Planar Reformation",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            164,
            165,
            189,
            166
        ],
        "booktitle": "IEEE Visualization 2002",
        "lecturer": [
            162
        ],
        "publisher": "IEEE Computer Society Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "ADAPT"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Kanitsar-2002-CPR/",
        "__class": "Publication"
    },
    {
        "id": "Maierhofer-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Rule-Based Mesh Growing and Generalized Subdivision Meshes",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            228
        ],
        "date_end": "2002-01",
        "supervisor": [
            190
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Maierhofer-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 1281687,
                "path": "Publication:Maierhofer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Maierhofer-thesis/Maierhofer-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2002/Maierhofer-thesis/Maierhofer-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Maierhofer-thesis/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2002-anw",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Anwendungsbeispiele medizinischer Visualisierung",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2002-10-10",
        "event": "Fachbereich Informatik",
        "location": "Univ. Kaiserslautern, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/groeller-2002-anw/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2002-Ins",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Insight into Data through Visualization",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Graph Drawing 2002",
        "pages_from": "352",
        "pages_to": "366",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Groeller-2002-Ins/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2002-med",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Medical Visualization: CT Angiography and other Examples",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2002-11-27",
        "event": "Philipps Medical Systems",
        "location": "Eindhoven, Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/groeller-2002-med/",
        "__class": "Publication"
    },
    {
        "id": "groeller-2002-wiss",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Wissenschaftliche Visualisierung in der Medizin",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2002-11-25",
        "location": "Universität Bonn, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/groeller-2002-wiss/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2002-Pro",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Process Visualization with Levels of Detail",
        "date": "2002",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            176,
            453,
            166
        ],
        "booktitle": "IEEE Symposium on Information Visualization 2002",
        "pages_from": "67",
        "pages_to": "70",
        "publisher": "IEEE Computer Society Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Matkovic-2002-Pro/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-2002-Vir",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Gutenberg`s Printing Press",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            234,
            237,
            249
        ],
        "journal": "OEGAI-Journal",
        "number": "1",
        "volume": "21",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/Matkovic-2002-Vir/",
        "__class": "Publication"
    },
    {
        "id": "matkovic-2002-visual",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Image Query",
        "date": "2002",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            177,
            477,
            450,
            190
        ],
        "booktitle": "Smart Graphics 2002",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2002/matkovic-2002-visual/",
        "__class": "Publication"
    },
    {
        "id": "zotti-2001-dip",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Multi-Purpose Virtual Reality Model of the Solar System (VRMoSS)",
        "date": "2001-11",
        "abstract": "The thesis describes construction and application of the VR model of the solar system inside the ASH Virtual Control Room.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            222
        ],
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [
            "Astronomy",
            "Education",
            "Virtual Reality",
            "Simulation"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/zotti-2001-dip/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2001-NTD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "New Time-Dependent Tone mapping Algorithm",
        "date": "2001-11",
        "abstract": "In this report we present a new\ntime-dependent tone mapping model which describes the ability of the\nhuman vision to adapt to even strong changes in the luminance of the\nsurroundings. This ability depends on time; in fact the human visual\nsystem needs a determined amount of time until reaching the final\nstage of adaptation. Our model accepts the CIEXYZ values of an image\nas input and converts them into RGB values reproducible on a monitor.\nThis work is based on the retinal model presented by Pattanaik et al.\n, but introducing substantial modifications. In fact, we define a new\ndynamic model which describes the time dependence of the human visual\nsystem, utilizing different filters; the cromatic adaptation is taken\ninto account by introducing the model of von Kries. Furthermore, we\nintroduce new techniques of gamut mapping and conversion between the\n                 values of retinal response and luminance of the display.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            230,
            192
        ],
        "number": "TR-186-2-01-21",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "colours",
            "chromatic adaptation",
            "appearance model",
            "time-dependence",
            "visual adaptation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2001-NTD-paper.pdf",
                "type": "application/pdf",
                "size": 929822,
                "path": "Publication:Artusi-2001-NTD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-NTD/Artusi-2001-NTD-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-NTD/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2001-Vis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Preprocessing for Urban Scenes using Line Space Subdivision",
        "date": "2001-10",
        "abstract": "We present an algorithm for visibility preprocessing of urban environments. The algorithm uses a subdivision of line space to analytically calculate a conservative potentially visible set for a given region in the scene. We present a detailed evaluation of our method including a comparison to another recently published visibility preprocessing algorithm. To the best of our knowledge the proposed method is the first algorithm that scales to large scenes and efficiently handles large view cells.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1276,
            "image_height": 948,
            "name": "Bittner-2001-Vis-image.jpg",
            "type": "image/jpeg",
            "size": 262662,
            "path": "Publication:Bittner-2001-Vis",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            194,
            193
        ],
        "booktitle": "Proceedings of Pacific Graphics 2001 (Ninth Pacific Conference on Computer Graphics and Applications)",
        "editor": "Bob Werner",
        "isbn": "0-7695-1227-5",
        "lecturer": [
            198
        ],
        "location": "Tokyo, Japan",
        "pages_from": "276",
        "pages_to": "284",
        "publisher": "IEEE Computer Society Press",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1276,
                "image_height": 948,
                "name": "Bittner-2001-Vis-image.jpg",
                "type": "image/jpeg",
                "size": 262662,
                "path": "Publication:Bittner-2001-Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bittner-2001-Vis-Paper.pdf",
                "type": "application/pdf",
                "size": 2616610,
                "path": "Publication:Bittner-2001-Vis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/Bittner-2001-Vis-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-Vis/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-2001-CDMI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cost-Driven Multiple Importance Sampling for Monte-Carlo Rendering",
        "date": "2001-10",
        "abstract": "The global illumination or transport problems can\nalso be considered as a sequence of\nintegrals, while its Monte-Carlo solutions as different sampling techniques.\nMultiple importance sampling takes advantage of different sampling\nstrategies and combines the results obtained with them.\nIn this paper we propose the combination of very different global illumination algorithms\nin a way that their strengths can be preserved. To do this, we generalize the fundamental theory of\nmultiple importance sampling for sequences of integrals and also take into account\nthe computational cost associated with individual sampling techniques.\nThe theoretical results are used to combine bi-directional path tracing and ray-bundles\n                  based stochastic iteration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            366,
            206,
            367
        ],
        "number": "TR-186-2-01-19",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "random walk.",
            "stochastic iteration",
            "Multiple importance sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szirmay-2001-CDMI-paper.pdf",
                "type": "application/pdf",
                "size": 295117,
                "path": "Publication:Szirmay-2001-CDMI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-CDMI/Szirmay-2001-CDMI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-CDMI/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2001-IDV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Insight into Data Through Visualization",
        "date": "2001-10",
        "abstract": "Computer graphics, scientific visualization, information visualization, and graph drawing are areas which deal with visual\ninformation layout. They all use the remarkable properties of\nthe human visual perception to rapidly absorb and analyse visual\ninformation. The paper discusses important visualization aspects\nand gives examples of how visualization techniques facilitate\ninsight into data characteristics. The connection between\n                 visualization and graph drawing is shortly discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-01-20",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "graph drawing",
            "visualization",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-2001-IDV-paper.pdf",
                "type": "application/pdf",
                "size": 1496639,
                "path": "Publication:Groeller-2001-IDV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Groeller-2001-IDV/Groeller-2001-IDV-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Groeller-2001-IDV/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2001-CCL",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computerspiele in der Computergraphik-Lehre",
        "date": "2001-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "booktitle": "Wirtschaft und Wissenschaft in der Network Economy -- Visionen und Wirklichkeit, Tagungsband der GI/OCG-Jahrestagung",
        "editor": "Kurt Bauknecht and Wilfried Brauer and Thomas A. Mück",
        "isbn": "3-85403-157-2",
        "lecturer": [
            193
        ],
        "pages_from": "1199",
        "pages_to": "1204",
        "publisher": "Universität Wien",
        "series": "Band 2",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-CCL/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2001-PBI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Point-Based Impostors for Real-Time Visualization",
        "date": "2001-09",
        "abstract": "We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive or real-time visualization applications to replace a complex model by an impostor, maintaining high quality rendering while cutting down rendering time. Our approach relies on an object-space sampled representation similar to a point cloud or a layered depth image, but introduces two fundamental additions to previous techniques. First, the sampling rate is controlled to provide sufficient density across all possible viewing conditions from the specified view cell. Second, a correct, antialiased representation of the plenoptic function is computed using Monte Carlo integration. Our system therefore achieves high quality rendering using a simple representation with bounded complexity. We demonstrate the method for an application in urban visualization.",
        "authors_et_al": false,
        "substitute": "Wimmer-2001-Poi",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            194,
            195
        ],
        "number": "TR-186-2-01-15",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "impostors",
            "point-based rendering",
            "real-time rendering",
            "urban visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-2001-PBI-paper.pdf",
                "type": "application/pdf",
                "size": 2348210,
                "path": "Publication:Wimmer-2001-PBI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-PBI/Wimmer-2001-PBI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-PBI/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-2001-Ins",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Visibility",
        "date": "2001-09",
        "abstract": "We present an online occlusion culling system which computes visibility in parallel to the rendering pipeline. We show how to use point visibility algorithms to quickly calculate a tight potentially visible set (PVS) which is valid for several frames, by shrinking the occluders used in visibility calculations by an adequate amount. These visibility calculations can be performed on a visibility server, possibly a distinct computer communicating with the display host over a local network. The resulting system essentially combines the advantages of online visibility processing and region-based visibility calculations, allowing asynchronous processing of visibility and display operations. We analyze two different types of hardware-based point visibility algorithms and address the problem of bounded calculation time which is the basis for true real-time behavior. Our results show reliable, sustained 60 Hz performance in a walkthrough with an urban environment of nearly 2 million polygons, and a terrain flyover.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 150,
            "image_height": 100,
            "name": "Wonka-2001-Ins-image.jpg",
            "type": "image/jpeg",
            "size": 3588,
            "path": "Publication:Wonka-2001-Ins",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            195
        ],
        "date_from": "2001-09-05",
        "date_to": "2001-09-07",
        "event": "EUROGRAPHICS 2001",
        "issn": "0167-7055",
        "journal": "Computer Graphics Forum",
        "lecturer": [
            194,
            193
        ],
        "location": "Manchester, UK",
        "note": "Günther Enderle [Best Paper] Award, Best Student Paper Award. A. Chalmers and T.-M. Rhyne (eds.), Proceedings EUROGRAPHICS 2001",
        "number": "3",
        "pages_from": "411",
        "pages_to": "421",
        "volume": "20",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 150,
                "image_height": 100,
                "name": "Wonka-2001-Ins-image.jpg",
                "type": "image/jpeg",
                "size": 3588,
                "path": "Publication:Wonka-2001-Ins",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wonka-2001-Ins-Paper.pdf",
                "type": "application/pdf",
                "size": 1606737,
                "path": "Publication:Wonka-2001-Ins",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/Wonka-2001-Ins-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-Ins/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-2001-IV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Instant Visibility",
        "date": "2001-09",
        "abstract": "We present an online occlusion culling system which computes visibility in parallel to the rendering pipeline. We show how to use point visibility algorithms to quickly calculate a tight potentially visible set (PVS) which is valid for several frames, by shrinking the occluders used in visibility calculations by an adequate amount. These visibility calculations can be performed on a visibility server, possibly a distinct computer communicating with the display host over a local network. The resulting system essentially combines the advantages of online visibility processing and region-based visibility calculations, allowing asynchronous processing of visibility and display operations. We analyze two different types of hardware-based point visibility algorithms and address the problem of bounded calculation time which is the basis for true real-time behavior. Our results show reliable, sustained 60 Hz performance in a walkthrough with an urban environment of nearly 2 million polygons, and a terrain flyover.",
        "authors_et_al": false,
        "substitute": "Wonka-2001-Ins",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            195
        ],
        "number": "TR-186-2-01-16",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "visibility",
            "occlusion culling",
            "urban visualization",
            "real-time rendering",
            "parallel visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wonka-2001-IV-paper.pdf",
                "type": "application/pdf",
                "size": 1266101,
                "path": "Publication:Wonka-2001-IV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-IV/Wonka-2001-IV-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-2001-IV/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-2001-METR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simple and Robust Mutation Strategy for Metropolis Light Transport Algorithm",
        "date": "2001-07",
        "abstract": "The paper presents a new mutation strategy for the Metropolis\nlight transport algorithm, which works in\nthe space of uniform random numbers used to build up paths. Thus\ninstead of mutating directly in the path space, mutations are realized\nin the infinite dimensional unit cube of pseudo-random numbers and these points are\ntransformed to the path space according to BRDF\nsampling, light source sampling and Russian roulette.\nThis transformation makes the integrand and the importance\nfunction flatter and thus increases the acceptance probability\nof the new samples in the Metropolis algorithm. Higher\nacceptance ratio,\nin turn, reduces the correlation of the samples, which increases the\nspeed of convergence.\nWhen mutations are calculated,\na new random point is selected usually in the neighborhood of the previous\none, but according to our proposition called ``large steps'',\nsometimes an independent point is obtained.\nLarge steps greatly reduce the start-up bias and guarantee the ergodicity\nof the process. Due to the fact that some samples are generated\nindependently of the previous sample, this method can also be\nconsidered as a combination of the Metropolis algorithm with a\nclassical random walk. Metropolis light\ntransport is good in rendering bright image areas but poor in\nrendering dark sections since it allocates samples proportionally\nto the pixel luminance. Conventional random walks, on the other hand,\nhave the same performace everywhere, thus they are poorer than\nMetropolis method in bright areas, but are better at dark sections.\nIn order to keep the merits of\nboth approaches, we use multiple importance sampling to combine\ntheir results, that is, the combined method will be\nas good at bright regions as Metropolis and\nat dark regions as random walks.\nThe resulting scheme is robust, efficient, but most importantly,\n                  is easy to implement and to combine with an available random-walk algorithm.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            368,
            206
        ],
        "number": "TR-186-2-01-18",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "rendering equation",
            "Monte-Carlo integration",
            "importance sampling",
            "Metropolis sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szirmay-2001-METR-paper.pdf",
                "type": "application/pdf",
                "size": 771174,
                "path": "Publication:Szirmay-2001-METR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-METR/Szirmay-2001-METR-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-METR/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-2001-MSTI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multiple Strategy Stochastic Iteration for Architectural Walkthroughs",
        "date": "2001-07",
        "abstract": "Architectural walkthroughs require fast global illumination algorithms\nand also accurate results from certain viewpoints.\nThis paper introduces a global illumination method that combines several\nstrategies to meet the\ncontradicting criteria of architectural\nwalkthroughs. The methods include parallel and perspective ray-bundle shooting\nand ray shooting. Each method is designed to randomly approximate the effect\nof the light transport operator. Parallel ray-bundle tracing transfers the\nradiance of all points parallel to a randomly selected global direction,\nwith perspective ray-bundles we can shoot the radiance of a single patch in all directions,\nand ray shooting transfers the radiance of a randomly\nselected point at a randomly selected direction.\nThese strategies are of complementary character\nsince each of them is effective in different illumination conditions.\nThe proposed algorithm is iterative and\nthe steps realized by different methods that randomly follow each other.\nIn each step, the applied strategy is selected randomly according to the properties of\nthe current radiance distribution, thus we can exploit that the used strategies\nare good in different conditions.\nThe formal framework of their combination is the stochastic iteration.\nAlthough the final result is the image, i.e. the algorithm is view dependent,\na rough approximation of the\nradiance function is stored in object space, that can allow fast movements at\nreasonable storage requirements and also speed up Monte-Carlo simulations which\nresult in the final image.\nThe method is also suited for interactive walkthrough animation in\nglossy scenes since when the viewpoint changes, the object space radiance\n                  values remain valid and the image quickly adapts to the new situation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206,
            367,
            366,
            368
        ],
        "number": "TR-186-2-01-17",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "Monte-Carlo methods",
            "finite-element techniques",
            "stochastic iteration",
            "Global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szirmay-2001-MSTI-paper.pdf",
                "type": "application/pdf",
                "size": 168024,
                "path": "Publication:Szirmay-2001-MSTI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-MSTI/Szirmay-2001-MSTI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Szirmay-2001-MSTI/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-2001-RIV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction Issues in Volume Visualization",
        "date": "2001-06",
        "abstract": "Although volume visualization has already grown out of its infancy,\nthe most commonly used reconstruction techniques are still trilinear\ninterpolation for function reconstruction and central differences\n(most often in conjunction with trilinear interpolation) for\ngradient reconstruction. Nevertheless, quite some research in the\nlast few years was devoted to improve this situation. This paper\nsurveys the more important methods, emphasizing selected work in\nfunction and gradient reconstruction, and gives an overview over the\nrather new development of exploiting curvature properties for volume\n                 visualization purposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            196,
            187,
            166
        ],
        "number": "TR-186-2-01-14",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "Taylor series expansion",
            "frequency response",
            "windowing",
            "ideal reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Theussl-2001-RIV-paper.gz",
                "type": "application/octet-stream",
                "size": 81031,
                "path": "Publication:Theussl-2001-RIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Theussl-2001-RIV/Theussl-2001-RIV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Theussl-2001-RIV/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-2001-Poi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Point-Based Impostors for Real-Time Visualization",
        "date": "2001-06",
        "abstract": "We present a new data structure for encoding the appearance of a geometric model as seen from a viewing region (view cell). This representation can be used in interactive or real-time visualization applications to replace a complex model by an impostor, maintaining high quality rendering while cutting down rendering time. Our approach relies on an object-space sampled representation similar to a point cloud or a layered depth image, but introduces two fundamental additions to previous techniques. First, the sampling rate is controlled to provide sufficient density across all possible viewing conditions from the specified view cell. Second, a correct, antialiased representation of the plenoptic function is computed using Monte Carlo integration. Our system therefore achieves high quality rendering using a simple representation with bounded complexity. We demonstrate the method for an application in urban visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 250,
            "image_height": 155,
            "name": "Wimmer-2001-Poi-image.jpg",
            "type": "image/jpeg",
            "size": 12891,
            "path": "Publication:Wimmer-2001-Poi",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            194,
            195
        ],
        "booktitle": "Rendering Techniques 2001 (Proceedings Eurographics Workshop on Rendering)",
        "editor": "Steven J. Gortler and Karol Myszkowski",
        "isbn": "3-211-83709-4",
        "lecturer": [
            193
        ],
        "organization": "Eurographics",
        "pages_from": "163",
        "pages_to": "176",
        "publisher": "Springer-Verlag",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 250,
                "image_height": 155,
                "name": "Wimmer-2001-Poi-image.jpg",
                "type": "image/jpeg",
                "size": 12891,
                "path": "Publication:Wimmer-2001-Poi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-2001-Poi-Paper.pdf",
                "type": "application/pdf",
                "size": 2348210,
                "path": "Publication:Wimmer-2001-Poi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/Wimmer-2001-Poi-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-2001-Poi/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Representing and Rendering Distant Objects for Real-Time Visualization",
        "date": "2001-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "date_end": "2001-06",
        "date_start": "1997-06",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 4650641,
                "path": "Publication:Wimmer-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-thesis/Wimmer-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-thesis/Wimmer-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wimmer-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2001-DDI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Direction-Driven Shape-Based Interpolation of Volume Data",
        "date": "2001-05",
        "abstract": "We present a novel approach to shape-based interpolation of\ngray-level volume data. In contrast to the segmentation-based\ntechniques our method directly processes the scalar volume\nrequiring no user interaction. The key idea is to perform the\ninterpolation in the directions given by analysis of the\neigensystem of the structure tensor. Our method processes a 256\nx 256 slice within a couple of seconds yielding satisfactory\nresults. We give a quantitative and a visual comparison to the\nlinear inter-slice interpolation. Analysis of the results lead\nus to the conclusion that our technique has a strong potential\nto compete with well-established shape-based interpolation\n                algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "number": "TR-186-2-01-12",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Eigensystem",
            "Structure Tensor",
            "Local Neighborhoods",
            "Shape-based Interpolation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hladuvka-2001-DDI-paper.pdf",
                "type": "application/pdf",
                "size": 598262,
                "path": "Publication:Hladuvka-2001-DDI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-DDI/Hladuvka-2001-DDI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-DDI/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2001-NPVR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Visualization of Object Contours by Non-Photorealistic Volume Rendering",
        "date": "2001-04",
        "abstract": "In this paper we present a fast visualization technique for\nvolumetric data, which is based on a recent non-photorealistic\nrendering technique.  Our new approach enables alternative\ninsights into 3D data sets (compared to traditional approaches\nsuch as direct volume rendering or iso-surface rendering).\nObject contours, which usually are characterized by locally high\ngradient values, are visualized regardless of their density values.\nCumbersome tuning of transfer functions, as usually needed for setting\nup DVR views is avoided.  Instead, a small number of parameters is available to adjust the non-photorealistic display.\nBased on the magnitude of local gradient information as well as on\nthe angle between viewing direction and gradient vector, data values\nare mapped to visual properties (color, opacity), which then are\ncombined to form the rendered image (MIP is proposed as the default\ncompositing stragtegy here).  Due to the fast implementation of this\nalternative rendering approach, it is possible to interactively\ninvestigate the 3D data, and quickly learn about internal structures.\nSeveral further extensions of our new approach, such as level lines\n                  are also presented in this paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            184,
            176,
            197,
            166
        ],
        "number": "TR-186-2-01-09",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "shear-warp projection",
            "non-photorealistic rendering",
            "interactive volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-2001-NPVR-paper.gz",
                "type": "application/octet-stream",
                "size": 2683199,
                "path": "Publication:Csebfalvi-2001-NPVR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-2001-NPVR/Csebfalvi-2001-NPVR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-2001-NPVR/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-2001-ORS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimal Regular Volume Sampling",
        "date": "2001-04",
        "abstract": "The classification of volumetric data sets as well as their\nrendering algorithms are typically based on the representation of the\nunderlying grid. Grid structures based on a Cartesian lattice are\nthe de-facto standard for regular representations of volumetric\ndata. In this paper we introduce a more general concept of regular\ngrids for the representation of volumetric data. We demonstrate that\na specific type of regular lattice - the so-called\nbody-centered cubic - is able to represent the same data set\nas a Cartesian grid to the same accuracy but with 29.3% less\nsamples. This speeds up traditional volume\nrendering algorithms by the same ratio, which we demonstrate by\nadopting a splatting implementation for these new lattices.\nWe investigate different filtering methods required for computing\nthe normals on this lattice. The lattice representation results also\nin lossless compression ratios that are better\nthan previously reported.\nAlthough other regular grid structures achieve the same sample\nefficiency, the body-centered cubic is particularly easy to use. The\nonly assumption necessary is that the underlying volume is isotropic\nand band-limited - an assumption that is valid for most practical\n                 data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            196,
            166
        ],
        "number": "TR-186-2-01-10",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "body centered cubic",
            "hexagonal sampling",
            "close packing",
            "Cartesian grid",
            "volume data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Theussl-2001-ORS-paper.gz",
                "type": "application/octet-stream",
                "size": 1732015,
                "path": "Publication:Theussl-2001-ORS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Theussl-2001-ORS/Theussl-2001-ORS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Theussl-2001-ORS/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-VCU",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Colon Unfolding",
        "date": "2001-04",
        "abstract": "The majority of virtual endoscopy  techniques tries to simulate a\nreal endoscopy. A real endoscopy does not always give the optimal\ninformation due to the physical limitations it is subject to. In\nthis paper, we deal with the unfolding of the surface of the colon\nas a possible visualization technique for diagnosis and polyp\ndetection. A new two-step technique is presented which deals with\nthe problems of double appearance of polyps and nonuniform\nsampling that other colon unfolding techniques suffer from. In the\nfirst step, a distance map from a central path induces nonlinear\nrays for unambiguous parameterization of the surface. The second\nstep compensates for locally varying distortions of the unfolded\nsurface. A technique similar to magnification fields in\ninformation visualization is hereby applied. The technique\n                 produces a single view of a complete virtually dissected colon.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            165,
            197,
            166
        ],
        "number": "TR-186-2-01-08",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Virtual Endoscopy",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vilanova-2001-VCU-paper.gz",
                "type": "application/x-zip",
                "size": 3476497,
                "path": "Publication:Vilanova-2001-VCU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-VCU/Vilanova-2001-VCU-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-VCU/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-2001-crp",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Combined Rendering of Polarization and Fluorescence Effects",
        "date": "2001-04",
        "abstract": "We propose a practicable way to include both polarization and fluorescence effects in a rendering system at the same time. Previous research in this direction only demonstrated support for either one of these phenomena; using both effects simultaneously was so far not possible, mainly because the techniques for the treatment of polarized light were complicated and required rendering systems written specifically for this task.\n\t\t The key improvement over previous work is that we use a different, more easily handled formalism for the description of polarization state, which also enables us to include fluorescence effects in a natural fashion. Moreover, all of our proposals are straightforward extensions to a conventional spectral rendering system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            190
        ],
        "number": "TR-186-2-01-11",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "predictive rendering",
            "fluorescence",
            "polarization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wilkie-2001-crp-paper.pdf",
                "type": "application/pdf",
                "size": 3019367,
                "path": "Publication:wilkie-2001-crp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/wilkie-2001-crp/wilkie-2001-crp-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/wilkie-2001-crp/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2001-PVI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Peripheral Vessel Investigation For Routine Clinical Use",
        "date": "2001-03",
        "abstract": "This paper is about computed tomography angiography based vessel exploration.\nLarge image sequences of the lower extremities are investigated in a clinical\nenvironment. Two different approaches for peripheral vessel diagnosis dealing\nwith stenosis and calcification detection are introduced. The paper presents an\nautomated vessel-tracking tool for curved planar reformation. A user interactive\n                segmentation tool for bone removal is proposed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162,
            165,
            189,
            164,
            370,
            166
        ],
        "number": "TR-186-2-01-13",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "optimal path computation",
            "semi automated segmentation",
            "CTA"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kanitsar-2001-PVI-paper.pdf",
                "type": "application/pdf",
                "size": 4103025,
                "path": "Publication:Kanitsar-2001-PVI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kanitsar-2001-PVI/Kanitsar-2001-PVI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kanitsar-2001-PVI/",
        "__class": "Publication"
    },
    {
        "id": "Bittner-2001-ERV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exact Regional Visibility using Line Space Partitioning",
        "date": "2001-03",
        "abstract": "We present a new technique for exact and output sensitive\ndetermination of  visibility from a polygonal region in the plane. It\nuses hierarchical partitioning of line space, that provides\ncomprehensive description of visibility for a set of occluders.\nTo the best of our knowledge, it is the first exact regional\nvisibility algorithm suitable for visibility preprocessing of large\nscenes of unspecific type. We have evaluated the implementation on\n                 scenes with various visibility characteristics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            198,
            199
        ],
        "number": "TR-186-2-01-06",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "projective geometry",
            "Plücker coordinates",
            "kD--tree",
            "BSP--tree",
            "line--space",
            "visibility"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bittner-2001-ERV-paper.gz",
                "type": "application/octet-stream",
                "size": 817662,
                "path": "Publication:Bittner-2001-ERV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-ERV/Bittner-2001-ERV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bittner-2001-ERV/",
        "__class": "Publication"
    },
    {
        "id": "buehler-2001-ueb",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Über den Schnitt zweier Linearer Intervallabschätzungen",
        "date": "2001-03",
        "abstract": "Lineare Intervallabschätzungen (LIEs) für parametrische Flächen sind parametrisierte Einschließungskörper, die in [1] im Zusammenhang mit einem Schnittalgorithmus für parametrische Flächen eingeführt wurden. Diese Arbeit enthält die Sätze und Beweise, die die Grundlage für den in [1] erwähnten Schnitttest mit automatischer Parametergebietsreduzierung bilden. [1] K.Bühler, W.Barth, A new intersection algorithm for parametric surfaces based on linear interval estimations, In: Scientific Computing, Validated Numerics, Interval Methods, Kluwer Academic Publishers, To Appear in Spring 2001.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "number": "TR-186-2-01-07",
        "pages_from": "1",
        "pages_to": "20",
        "research_areas": [],
        "keywords": [
            "parametric surfaces",
            "bounding volumes",
            "parameter domain pruning",
            "intersection",
            "LIE",
            "Linear Interval Estimation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "buehler-2001-ueb-paper.pdf",
                "type": "application/pdf",
                "size": 242796,
                "path": "Publication:buehler-2001-ueb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/buehler-2001-ueb/buehler-2001-ueb-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/buehler-2001-ueb/",
        "__class": "Publication"
    },
    {
        "id": "Dorf-2001-Fin",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Finger Tracking for Interaction in Augmented Environments",
        "date": "2001-02",
        "abstract": "Optical tracking systems allow three-dimensional input for virtual\nenvironment applications with high precision and without annoying\ncables. Spontaneous and intuitive interaction is possible through\ngestures. In this paper, we present a finger tracker that allows\ngestural interaction and is simple, cheap, fast, robust against\nocclusion and accurate. It is based on a marked glove, a stereoscopic\ntracking system and a kinematic 3-d model\nof the human finger. Within our augmented reality application\nscenario, the user is able to grab, translate, rotate, and release\nobjects in an intuitive way. We demonstrate our tracking system in\nan augmented reality chess game allowing a user to interact with\n                virtual objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            201,
            202
        ],
        "number": "TR-186-2-01-03",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "augmented reality",
            "computer vision",
            "gesture recognition",
            "finger tracking",
            "tracking"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Dorf-2001-Fin-paper.pdf",
                "type": "application/pdf",
                "size": 851113,
                "path": "Publication:Dorf-2001-Fin",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Dorf-2001-Fin/Dorf-2001-Fin-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Dorf-2001-Fin/",
        "__class": "Publication"
    },
    {
        "id": "Artusi-2001-Col",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Printer Characterization Using Radial Basis Function Networks",
        "date": "2001-01",
        "abstract": "Colorimetric characterization is one step in the colorimetric reproduction process that permits faithful image reproduction across different devices. Its goal is to define a mapping function between the device--dependent color spaces in question (such as RGB or CMYK) and device--independent colour spaces (such as CIELAB or CIEXYZ), and vice versa.\r\nThe work presented in this paper is an application study of utilizing radial basis function networks for the problem of colorimetric characterization of printer devices.\r\nThe work we present is novel in seven ways: to begin with, this is the first work that uses radial basis function networks to resolve the colorimetric characterization of printers. Second, we used a new learning model to train such networks; our approach is based on a proposal by Carozza. Third, we use only 125 measured samples for the training of the network. Fourth, the computational costs for this training are very low when compared to previous techniques and allow to use this model in consumer products. Fifth, it is a general model which one can also use to define other transformations between color spaces. Sixth, it is possible to have a fast recharacterization of the device because the computational cost of the training phase and the number of training samples are low. Finally, it improves on the performance of multiple polynomials regression and tetrahedral interpolation.\r\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "Artusi-2001-Col-.pdf",
            "type": "application/pdf",
            "size": 98399,
            "path": "Publication:Artusi-2001-Col",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            191,
            192
        ],
        "booktitle": "Proceedings Colour Imaging Conference: Device-Independent Colour, Colour Hardcopy, and Graphics Arts VI, IST&SPIE, Electronic Imaging",
        "isbn": "0-8194-3978-9",
        "location": "San Jose (USA)",
        "note": "SPIE Conference, San Jose California, January 2001",
        "pages_from": "70",
        "pages_to": "80",
        "publisher": "SPIE",
        "research_areas": [],
        "keywords": [
            "neural network",
            "Colorimetric characterization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2001-Col-.pdf",
                "type": "application/pdf",
                "size": 98399,
                "path": "Publication:Artusi-2001-Col",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Artusi-2001-Col-paper.pdf",
                "type": "application/pdf",
                "size": 98399,
                "path": "Publication:Artusi-2001-Col",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/Artusi-2001-Col-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Artusi-2001-Col/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-Glo",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global Illumination with Photon Map Compensation",
        "date": "2001-01",
        "abstract": "We present a new method for the simulation of global illumination by utilization of a photon map. It uses an advanced radiance estimation which, in contrast to classical nearest neighbor area estimation, does not assume that the nearest neighbor photons lie in one plane or that they are uniformly distributed around the illuminated point. This allows us to correcly handle indirect illumination, eg. caustics, at edges and corners of objects without causing illumination artefacts in the vicinity of the edges and corners. We show how high quality results can be achieved by directly visualizing this illumination estimate without the usual low frequency noise of photon maps and without requiring a very large photon map.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            190
        ],
        "number": "TR-186-2-01-04",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "radiance estimation",
            "photon map",
            "global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-2001-Glo-paper.pdf",
                "type": "application/pdf",
                "size": 359949,
                "path": "Publication:Hey-2001-Glo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-Glo/Hey-2001-Glo-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-Glo/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-ImpX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance Sampling with Hemispherical Particle Footprints",
        "date": "2001-01",
        "abstract": "We present a new importance sampling technique for stochastic ray-based global illumination methods. It allows to enhance the efficiency of global illumination calculations in general scenes with complex illumination settings by selecting preferably those sampling or shooting directions which yield a high contribution. The probability density functions for this are generated with a photon map or importance map that represents the expected contribution. A direction for a given point in the scene is selected by making directional footprints of the nearest neighbor particles onto the hemisphere of the point. By selecting the radii of the footprints adaptively according to the directional density of the particles, rays can be shot precisely into highly contributing regions where several particles come from in a small solid angle. We compare our new technique with existing particle map based importance sampling and show that our new technique achieves a considerably lower level of noise and spots in the same computation time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            190
        ],
        "number": "TR-186-2-01-05",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "importance map",
            "photon map",
            "particle map",
            "importance sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-2001-ImpX-paper.pdf",
                "type": "application/pdf",
                "size": 618382,
                "path": "Publication:Hey-2001-ImpX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-ImpX/Hey-2001-ImpX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-ImpX/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-ReaX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Occlusion Culling With A Lazy Occlusion Grid",
        "date": "2001-01",
        "abstract": "We present a new conservative image-based occlusion culling method to increase the speed of hardware accelerated rendering of very complex general scenes which may consist of millions of polygons without time-expensive preprocessing. The method is based on a low-resolution grid upon a conventional z-buffer or an occlusion-buffer. This grid is updated in a lazy manner which reduces the number of expensive occlusion queries at pixel-level significantly compared to a busy update. It allows fast decisions if an object is occluded or potentially visible. The grid is used together with a bounding volume hierarchy that is traversed in a front to back order and which allows to cull large parts of the scene at once. We show that the method works efficiently on today´s available hardware and we compare lazy and busy updates.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            216,
            190
        ],
        "number": "TR-186-2-01-02",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "hardware accelerated rendering",
            "real-time rendering",
            "visibility",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-2001-ReaX-paper.pdf",
                "type": "application/pdf",
                "size": 4250196,
                "path": "Publication:Hey-2001-ReaX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-ReaX/Hey-2001-ReaX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-ReaX/",
        "__class": "Publication"
    },
    {
        "id": "Hesina-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distributed Collaborative Augmented Reality",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            205
        ],
        "date_end": "2001-06",
        "date_start": "1997-10",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hesina-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 1872835,
                "path": "Publication:Hesina-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hesina-thesis/Hesina-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hesina-thesis/Hesina-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hesina-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-Occ",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion Culling Methods",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            200
        ],
        "note": "State of the Art Report at Eurographics'01, Manchester, U.K., Sept. 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-Occ/",
        "__class": "Publication"
    },
    {
        "id": "Hey-2001-Rea",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Occlusion Culling with a Lazy Occlusion Grid",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            200,
            216
        ],
        "note": "In Rendering Techniques'01 (proceedings of Eurographics Workshop on Rendering 2001, June 2001), Springer-Verlag, Wien, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hey-2001-Rea/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2001-Dir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Direction-Driven Shape-Based Interpolation of Volume Data",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            187
        ],
        "note": "Proceedings of <a href=\"http://wwwvis.informatik.uni-stuttgart.de/vmv01/\">Vision, Modeling and Visualization 2001, November 2001</a>, Stuttgart, Germany, pages 113-120,521",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-Dir/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2001-Exp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting Eigenvalues of the Hessian Matrix for Volume Decimation",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            187,
            197
        ],
        "note": "In conference proceedings of the 9th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001, WSCG'2001, University of West Bohemia, Pilsen, Czech Republic, Vaclav Skala (ed.), February 2001, vol. 1, pp. 124-129",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-Exp/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2001-Sal",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Salient Representation of Volume Data",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            187
        ],
        "note": "Proceedings of VisSym'01, Joint Eurographics - IEEE TCVG Symposium on Visualization, May 28 - May 30, 2001, Ascona, Switzerland, pages 203-211,351",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-2001-Sal/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/13523",
        "title": "Derivatives and Eigensystems for Volume-Data Analysis and Visualization",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187
        ],
        "date_end": "2001-12",
        "date_start": "1998-06",
        "open_access": "yes",
        "pages": "116",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [
            "Volumendaten",
            "Datenanalyse",
            "Visualisierung",
            "Klassifikation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hladuvka-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 14267732,
                "path": "Publication:Hladuvka-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-thesis/Hladuvka-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-thesis/Hladuvka-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Hladuvka-thesis/",
        "__class": "Publication"
    },
    {
        "id": "HUMMEL-2001-MSE",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modellierung von Straßen für Echtzeitvisualisierung",
        "date": "2001",
        "abstract": "Diese Diplomarbeit ist die theoretische Abhandlung von VRMG, einem Softwareprojekt, das im\nRahmen des praktischen Teiles der Arbeit realisiert wurde und die Modellierung von Terrain und\nStraßen virtueller Städte zum Zwecke der Echzeit-Visualisierung bewerkstelligt. Ausgehend von\nden Vermessungsdaten in Form von geografischen Höhenwerten und dem Straßennetz, das als\nStraßengraph vorliegt, werden alle Schritte zur Umsetzung dieser Rohdaten in Geometriedaten für\ndie separate Modellerstellung des Terrains und der Straßenzüge behandelt. Der Schwerpunkt der\nArbeit liegt auf dem Anwendungsfall – Stadtstraßen. Somit umfaßt VRMG zahlreiche Elemente\nfür den Aufbau von Straßen, wie sie typischerweise im Stadtbereich zu finden sind. Dadurch ist es\nmöglich, zahlreiche Straßen-Konfigurationen aus der Realität nachzubilden. Das Terrain wird als\nkonventioneller, Regulärer-Raster erfaßt. Nach der Berechnung der Straßen- bzw.\nHöhenfeldgeometrie, die auf Grundlage von Beschreibungsfiles zur Eingabe der spezifischen\nParameter erfolgt, liegt das Ergebnis dieses Schrittes in polygonaler Repräsentationsform vor.\nDadurch, daß die Modell-Geometrie vorzugsweise für Echtzeitanwendungen eingesetzt wird, ist\ndie Aufbereitung der polygonalen Repräsentation durch Nachfolgeoperationen zur Optimierung\nder Geometrie bedeutsam. Durch die Verfahren der Delaunay-Triangulierung und des Triangle-\nStripping werden die Polygone mittels Dreieckszerlegung tesseliert und dadurch in eine Form\ngebracht, die die derzeitigen 3D-Hardwarebeschleunigerchips unterstützen. Das endgültige\nResultat wird als Szenegraph, der als Baumstruktur die Geometrie- und Texturierungdaten in\nhierarchischer Form aufnimmt, gespeichert und für die Verwendung, etwa als\nSimulationsumgebung, zur Verfügung gestellt.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            641
        ],
        "date_end": "2001",
        "date_start": "2000",
        "matrikelnr": "0000000",
        "supervisor": [
            194
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Thesis",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "HUMMEL-2001-MSE-Thesis.pdf",
                "type": "application/pdf",
                "size": 1580567,
                "path": "Publication:HUMMEL-2001-MSE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/HUMMEL-2001-MSE-Thesis.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/HUMMEL-2001-MSE-Thesis:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/HUMMEL-2001-MSE/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2001-Aut",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automated Vessel Detection at Lower Extremity Multislice CTA",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            114,
            162,
            164,
            165,
            166,
            189
        ],
        "note": "European Congress of Radiology 2001 (ECR 2001), March 2-6 2001, Vienna",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kanitsar-2001-Aut/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2001-Per",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Peripheral Vessel Investigation for Routine Clinical Use",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            114,
            162,
            164,
            165,
            166,
            189
        ],
        "note": "Proceedings of <a href=\"http://vis.computer.org/vis01/index.html\">IEEE Visualization 2001</a>, October 2001, San Diego, USA, pp. 91-98 <br><a href=\"http://vis.computer.org/vis01/index.html\"></a> ",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kanitsar-2001-Per/",
        "__class": "Publication"
    },
    {
        "id": "Kanitsar-2001-Pos",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Postprocessing and Visualization of Peripheral CTA Data in Clinical Environments",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            114,
            162,
            164,
            165,
            166,
            189
        ],
        "note": "Central European Seminar on Computer Graphics (CESCG'2001), Budmerice, Slovakia, April 23-25, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kanitsar-2001-Pos/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-2001-3DM",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D Medical Visualization: Breaking the Limits of Diagnostics and Treatment",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197
        ],
        "note": "ERCIM News (European Research Consortium for Informatics and Mathematics), number 3, January 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Koenig-2001-3DM/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-2001-Mas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Transfer Function Specification by Using VolumePro Technology",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197
        ],
        "note": "Proceedings of the 17th Spring Conference on Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April 2001, pp. 279-286, ISBN 0-7695-1215-1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Koenig-2001-Mas/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Usability Issues in Medical Volume Visualization",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197
        ],
        "date_end": "2001-06",
        "date_start": "1997-10",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koenig-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 8351372,
                "path": "Publication:Koenig-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Koenig-thesis/Koenig-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Koenig-thesis/Koenig-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Koenig-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Kosara-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Semantic Depth of Field - Using Blur for Focus + Context Visualization",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            227
        ],
        "date_end": "2001",
        "date_start": "1999",
        "supervisor": [
            966
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kosara-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 4633910,
                "path": "Publication:Kosara-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kosara-thesis/Kosara-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kosara-thesis/Kosara-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Kosara-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-Non",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nonlinear Virtual Colon Unfolding",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            197,
            459
        ],
        "note": "Proceedings of <a href=\"http://vis.computer.org/vis01/index.html\">IEEE Visualization 2001</a>, October 2001, San Diego, USA, pp. 91-98",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Non/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-Per",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perspective Projection through Parallel Projected Slabs for Virtual Endoscopy",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            197,
            459
        ],
        "note": "Proceedings of the 17th Spring Conference on Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April 25th-28th, 2001, pp. 287-295, ISBN 0-7695-1215-1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Per/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2001-Vir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Colon Flattening",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            197,
            340,
            459
        ],
        "note": "Proceedings of VisSym'01, Joint Eurographics - IEEE TCVG Symposium on Visualization, May 28 - May 30, pages 127-136 2001, Ascona, Switzerland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Vilanova-2001-Vir/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-2001-Com",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Combined Rendering of Polarization and Fluorescence Effects",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            192,
            216
        ],
        "note": "In Rendering Techniques'01 (proceedings of Eurographics Workshop on Rendering 2001), June 2001, Springer- Verlag, Wien, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wilkie-2001-Com/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-2001-Ori",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Orientation Lightmaps for Photon Radiosity in Complex Environments",
        "date": "2001",
        "abstract": "We present a method that makes the use of photon tracing methods feasible for complex scenes when a totally accurate solution is not essential. This is accomplished by using orientation lightmaps, which average the illumination of complex objects depending on the surface normal. Through this averaging, they considerably reduce the variance of the stochastic solution. In order to use these specialised lightmaps, which consume comparatively small amounts of memory, no changes have to be made to the basic photon-tracing algorithm. Also, they can be freely mixed with normal lightmaps. This gives the user good control over the amount of inaccuracy he introduces by their application. The area computations necessary for their insertion are performed using a stochastic sampling method that performs well for highly complex objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            190
        ],
        "journal": "The Visual Computer",
        "note": "In The Visual Computer, Vol. 17, No. 5, pp. 318-327, Springer, Heidelberg, 2001",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wilkie-2001-Ori/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photon Tracing for Complex Environments",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192
        ],
        "date_end": "2001-04",
        "date_start": "1997-10",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wilkie-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 14461982,
                "path": "Publication:Wilkie-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wilkie-thesis/Wilkie-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wilkie-thesis/Wilkie-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wilkie-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion Culling for Real-Time Rendering of Urban Environments",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194
        ],
        "date_end": "2001-06",
        "date_start": "1997-10",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wonka-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 22092680,
                "path": "Publication:Wonka-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-thesis/Wonka-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-thesis/Wonka-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Wonka-thesis/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2001",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2001",
        "date": "2001",
        "abstract": "This picture shows a volume rendering visualization of a CT-Scan of a real world christmas tree. Created by the Vis-Group in cooperation with the general hospital vienna.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 728,
            "image_height": 512,
            "name": "xmas-2001-image.jpg",
            "type": "image/jpeg",
            "size": 56879,
            "path": "Publication:xmas-2001",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            162
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Video of the CT image using several visualization techniques.",
                "filetitle": "Animation",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "xmas-2001-Animation.avi",
                "type": "video/x-msvideo",
                "size": 75156488,
                "path": "Publication:xmas-2001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation.avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation:thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-Animation:video.mp4"
            },
            {
                "description": "Top row, left to right: marching cubes, rendering based on the \"Bubble model\", and maximum intensity projection.\nBottom row: ray casting, surface-based real-time rendering, and ray tracing.",
                "filetitle": "back",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 728,
                "image_height": 512,
                "name": "xmas-2001-back.jpg",
                "type": "image/jpeg",
                "size": 77739,
                "path": "Publication:xmas-2001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-back.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-back:thumb{{size}}.png"
            },
            {
                "description": "The cover images show a 512x512x999 CT-scan of a Christmas tree displayed with various volume-rendering techniques. Two-level volume rendering: x-ray simulation with surface display.\nThe image border decoration shows a curved-planar reformation (a technique for vessel-investigation) of the tree branches.",
                "filetitle": "front",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 728,
                "image_height": 512,
                "name": "xmas-2001-front.jpg",
                "type": "image/jpeg",
                "size": 56879,
                "path": "Publication:xmas-2001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-front.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-front:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 728,
                "image_height": 512,
                "name": "xmas-2001-image.jpg",
                "type": "image/jpeg",
                "size": 56879,
                "path": "Publication:xmas-2001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "photo",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 2048,
                "image_height": 1536,
                "name": "xmas-2001-photo.jpg",
                "type": "image/jpeg",
                "size": 663665,
                "path": "Publication:xmas-2001",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-photo.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/xmas-2001-photo:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/xmas-2001/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Volume Visualization on Low-End Hardware",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184
        ],
        "date_end": "2001-05",
        "date_start": "1997-07",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 11931195,
                "path": "Publication:Mroz-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Mroz-thesis/Mroz-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Mroz-thesis/Mroz-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Mroz-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Constructions of Bidirectional Reflection Distribution Functions",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            232
        ],
        "date_end": "2001-06",
        "date_start": "1997-12",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 5132370,
                "path": "Publication:Neumann-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Neumann-thesis/Neumann-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Neumann-thesis/Neumann-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Neumann-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Prikryl-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perceptually Driven Radiosity",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            199
        ],
        "date_end": "2001-06",
        "date_start": "1997-06",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Prikryl-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 2061518,
                "path": "Publication:Prikryl-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Prikryl-thesis/Prikryl-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Prikryl-thesis/Prikryl-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Prikryl-thesis/",
        "__class": "Publication"
    },
    {
        "id": "a-2001-ah",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "<a href=\"http://www.vrvis.at/vis/research/hq-hw-reco/\">Hardware Accelerated High-Quality Reconstruction of Volumetric Data on PC Consumer Hardware</a>",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            175,
            176,
            226
        ],
        "note": "Proceedings of <a href=\"http://wwwvis.informatik.uni-stuttgart.de/vmv01/\">Vision, Modeling, and Visualization 2001, November 2001</a>, Stuttgart, Germany, pp. 105-112",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/a-2001-ah/",
        "__class": "Publication"
    },
    {
        "id": "a-2001-ahr",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "<a href=\"http://www.cg.tuwien.ac.at/research/vis/VolVis/BccGrids/\">Optimal Regular Volume Sampling</a>",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            175,
            196
        ],
        "note": "Proceedings of <a href=\"http://vis.computer.org/vis01/index.html\">IEEE Visualization 2001</a>, October 2001, San Diego, USA, pp. 91-98",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/a-2001-ahr/",
        "__class": "Publication"
    },
    {
        "id": "a-2001-Rec",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reconstruction Issues in Volume Visualization",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            175,
            187,
            196
        ],
        "note": "Proceedings of Dagstuhl Seminar on Scientific Visualization, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/a-2001-Rec/",
        "__class": "Publication"
    },
    {
        "id": "Bartroli-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization Techniques for Virtual Endoscopy",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459
        ],
        "date_end": "2001-10",
        "date_start": "1998-05",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf (Electronic version)",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bartroli-thesis-pdf (Electronic version).pdf",
                "type": "application/pdf",
                "size": 9619551,
                "path": "Publication:Bartroli-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bartroli-thesis/Bartroli-thesis-pdf (Electronic version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bartroli-thesis/Bartroli-thesis-pdf (Electronic version):thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "pdf (Print version)",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Bartroli-thesis-pdf (Print version).pdf",
                "type": "application/pdf",
                "size": 9346656,
                "path": "Publication:Bartroli-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bartroli-thesis/Bartroli-thesis-pdf (Print version).pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bartroli-thesis/Bartroli-thesis-pdf (Print version):thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Bartroli-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Brusi-2001-Opt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimal Ray Shooting in Monte Carlo Radiosity",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            101,
            207,
            389,
            190
        ],
        "journal": "Computers&Graphics",
        "volume": "26",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Brusi-2001-Opt/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2001-ANe",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Intersection Algorithm for Parametric Surfaces Based on Linear Interval Estimations",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            231
        ],
        "note": "Scientific Computing, Validated Numerics, Interval Methods, Walter Kämer, Jürgen Wolff von Gudenberg (eds.), Kluwer Academic Publishers, Boston/Dordrecht/London, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-ANe/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2001-Lin",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Linear Interval Estimations for Parametric Objects - Theory and Applications",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "note": "Proceedings of Eurographics 2001, A. Chalmers and T.-M. Rhyne (eds.), Computer Graphics Forum, 20(3), September 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Lin/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2001-Line",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Linear Interval Estimations - Reliable Bounds for Implicit Curves and Surfaces",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "note": "Extended Abstract and Poster, Workshop on Uncertainty in Geometric Computations, Sheffield, July 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Line/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2001-Tay",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Taylor Models and Affine Arithmetics - Towards a More Sophisticated Use of Reliable Arithmetics in Computer Graphics",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "note": "Proceedings of the 17th Spring Conference in Computer Graphics (SCCG'01), Budmerice, Slovakia, IEEE, April, 25th-28th, 2001, ISBN 0-7695-1215-1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-2001-Tay/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A new Subdivision Algorithm for the Intersection of Parametric Surfaces",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            231
        ],
        "date_end": "2001-06",
        "date_start": "1999-01",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Buehler-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 13174496,
                "path": "Publication:Buehler-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/Buehler-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/Buehler-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Buehler-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Capek-2001-Mul",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multimodal Volume Registration Based on Spherical Markers",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            103,
            104,
            105,
            106,
            165,
            197
        ],
        "note": "In conference proceedings of the 9th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001, WSCG'2001, University of West Bohemia, Pilsen, Czech Republic, Vaclav Skala (ed.), February 2001, vol. 1, p. 17-24, ISBN 80-7082-711-2",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Capek-2001-Mul/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2001-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Visualization of Object Contours by Non-Photorealistic Volume Rendering",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            176,
            184,
            197,
            233
        ],
        "note": "Proceedings of Eurographics 2001, 4-7 September 2001, Manchester, United Kingdom",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-2001-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2001-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Volume Rendering based on a \"Bubble Model\"",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            233
        ],
        "note": "Proceedings of Graphics Interface 2001, June 7th-9th, 2001, Ottawa, Ontario, Canada",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-2001-Int/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Volume-Rendering Techniques for Medical Data Visualization",
        "date": "2001",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233
        ],
        "date_end": "2001-06",
        "date_start": "1998-11",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 4195381,
                "path": "Publication:Csebfalvi-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-thesis/Csebfalvi-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-thesis/Csebfalvi-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Csebfalvi-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-2001-Con",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Construction of an Open Geometry Server for Client Server Virtual Environments",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            107,
            190,
            230,
            249
        ],
        "note": "Proceedings of the IEEE VR 2001 conference, pp. 105-112, Yokohama, Japan, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Faisstnauer-2001-Con/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-2001-Sch",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scheduling for Virtual Environments and Games Using Visibilities and Priorities",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            230
        ],
        "note": "SCS Transactions, Vol. 18, No. 2, pp. 73-82, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Faisstnauer-2001-Sch/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Priority Scheduling for Networked Virtual Environments",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            230
        ],
        "date_end": "2001-06",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Faisstnauer-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-2001-Aug",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Reality: The Interface is Everywhere",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            204,
            205,
            234,
            249,
            375
        ],
        "note": "SIGGRAPH 2001 Course Notes #27, Los Angeles, USA, ACM Press, August 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Schmalstieg-2001-Aug/",
        "__class": "Publication"
    },
    {
        "id": "Sorantin-2001-Med",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Medical Radiology - Diagnostic Imaging",
        "date": "2001",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            120,
            121,
            122,
            123,
            124,
            125,
            340,
            459
        ],
        "note": "chapter Technique of Virtual Dissection of the Colon based on Spiral CT data, Springer Verlag, 2001",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2001/Sorantin-2001-Med/",
        "__class": "Publication"
    },
    {
        "id": "Schm-2000-Stb",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Studierstube Augmented Reality Project",
        "date": "2000-12",
        "abstract": "This paper describes Studierstube, an augmented reality\nsystem developed over the past four years at Vienna University of Technology,\nAustria, in extensive collaboration with Fraunhofer CRCG, Inc. in Providence,\nRhode Island, U.S. Our starting point for developing the Studierstube system\nwas the belief that augmented reality, the less obtrusive cousin of virtual\nreality, has a better chance of becoming a viable user interface for applications\nrequiring manipulation of complex three-dimensional information as a daily routine.\nIn essence, we are searching for a 3D user interface metaphor as powerful as the\ndesktop metaphor for 2D. At the heart of the Studierstube system, collaborative\naugmented reality is used to embed computer-generated images into the real work\nenvironment. In the first part of this paper, we review the user interface of\nthe initial Studierstube system, in particular the implementation of collaborative\naugmented reality, and the Personal Interaction Panel, a two-handed interface for\ninteraction with the system. In the second part, an extended Studierstube system\nbased on a heterogeneous distributed architecture is presented. This system allows\nthe user to combine multiple approaches--augmented reality, projection displays,\nubiquitous computing--to the interface as needed. The environment is controlled\nby the Personal Interaction Panel, a two-handed pen-and-pad interface, which has\nversatile uses for interacting with the virtual environment. Studierstube also\nborrows elements from the desktop, such as multi-tasking and multi-windowing.\nThe resulting software architecture resembles in some ways what could be called\nan augmented reality operating system. The presentation is complemented by\n                 selected application examples.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            205,
            234,
            375,
            249,
            190
        ],
        "number": "TR-186-2-00-22",
        "pages_from": "1",
        "pages_to": "24",
        "research_areas": [],
        "keywords": [
            "three-dimensional user interface",
            "two-handed interaction",
            "computer supported cooperative work",
            "distributed virtual environment",
            "ubiquitious computing",
            "user interface",
            "augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schm-2000-Stb-paper.pdf",
                "type": "application/pdf",
                "size": 2370274,
                "path": "Publication:Schm-2000-Stb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-Stb/Schm-2000-Stb-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-Stb/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2000-VCF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Colon Flattening",
        "date": "2000-12",
        "abstract": "We present a new method to visualize virtual endoscopic\nviews. We\npropose to flatten the organ by the direct projection of the\nsurface onto a set of cylinders. Two sampling strategies are\npresented and the introduced  distortions are studied. A\nnon-photorealistic technique is presented to enhance the\nperception of the images. Finally, an approximate but real-time\nendoscopic fly-through is possible by using the data obtained by\n                 the projection technique.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            165,
            197,
            166,
            340
        ],
        "number": "TR-186-2-00-25",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "Colon Flattening",
            "Volume Rendering",
            "Virtual Colonoscopy"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vilanova-2000-VCF-paper.gz",
                "type": "application/x-zip",
                "size": 975052,
                "path": "Publication:Vilanova-2000-VCF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-VCF/Vilanova-2000-VCF-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-VCF/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2000-Exp",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Salient Representation of Volume Data",
        "date": "2000-12",
        "abstract": "We introduce a novel approach for identification of objects of\ninterest in volume data. Our approach tries to convey the\ninformation contained in two essentially different concepts, the\nobject's boundaries and the narrow solid structures, in an easy\nand uniform way. The second order derivative operators in\ndirections reaching minimal response are involved for this task.\nTo show the superior performance of our method, we provide a\ncomparison to its main competitor -- surface extraction from\nareas of maximal gradient magnitude. We show that our approach\nprovides the possibility to represent volume data by its subset\n                of a nominal size.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "number": "TR-186-2-00-26",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Gradient vector",
            "Hessian matrix",
            "Feature Extraction",
            "Sufrace Extraction",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hladuvka-2000-Exp-paper.gz",
                "type": "application/octet-stream",
                "size": 360519,
                "path": "Publication:Hladuvka-2000-Exp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-Exp/Hladuvka-2000-Exp-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-Exp/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2000-IVRBM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Volume Rendering based on a ''Bubble Model''",
        "date": "2000-12",
        "abstract": "In this paper an interactive volume rendering technique is presented\nwhich is based on a novel visualization model. We call the basic method\n``bubble model'' since iso-surfaces are rendered as thin\nsemi-transparent membranes similarly to blown soap bubbles. The\nprimary goal is to develop a fast previewing technique for volumetric data\nwhich does not require a time consuming transfer function\nspecification to visualize internal structures.\nOur approach uses a very simple rendering model controlled by only\ntwo parameters. We also present an interactive rotation technique\nwhich does not rely on any specialized hardware, therefore it can be\nwidely used even on low-end machines. Due to the interactive display,\nfine tuning is also supported since the modification of the rendering\n                  parameters has an immediate visual feedback.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            166
        ],
        "number": "TR-186-2-00-23",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Shear-Warp Factorization.",
            "Previewing",
            "Direct Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-2000-IVRBM-paper.gz",
                "type": "application/octet-stream",
                "size": 728796,
                "path": "Publication:Csebfalvi-2000-IVRBM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-IVRBM/Csebfalvi-2000-IVRBM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-IVRBM/",
        "__class": "Publication"
    },
    {
        "id": "Tsoi-2000-Ada",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Visualization over the Internet",
        "date": "2000-11",
        "abstract": "This report gives an account to our work in adaptive visualization over the Internet ressearch. In this report we present our prototypes of adaptive visualization systems and an agent-based visualization model for network applications. We proposed a intelligent agent system for adaptively dispatch of visualization processes between a cluster of computers based on the changing network transmission bandwidth and processing prower. We also discuss the scientific contributions of our work to the current research in Interne-based visualization system design.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            376,
            166
        ],
        "number": "TR-186-2-00-21",
        "pages_from": "1",
        "pages_to": "21",
        "research_areas": [],
        "keywords": [
            "code mobility",
            "adaptive visualization",
            "Internet",
            "visualizaion",
            "agents"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tsoi-2000-Ada-paper.pdf",
                "type": "application/pdf",
                "size": 318734,
                "path": "Publication:Tsoi-2000-Ada",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Tsoi-2000-Ada/Tsoi-2000-Ada-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Tsoi-2000-Ada/",
        "__class": "Publication"
    },
    {
        "id": "Havran-2000-Com",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Comparison Methodology for Ray Shooting Algorithms",
        "date": "2000-11",
        "abstract": "In this paper we deal with a methodology for\ncomparing various ray shooting algorithms for a set\nof experiments performed on a set of scenes. We\ndevelop a computation model for ray shooting\nalgorithms, which allows us to map of any particular\nray shooting algorithm to the computation\nmodel. Further, we develop a performance model for\nray shooting algorithms, which establishes the\ncorrespondence between the computation model and the\nexecution time of the ray shooting algorithm for a\nsequence of ray shooting queries. Based on the\ncomputation and performance models, we propose a set\nof parameters describing the use of a ray shooting\nalgorithm in applications. This allows us to make a\nfair comparison of various ray shooting algorithms\nfor the same set of input data, i.e., the same scene\nand the same sequence of ray shooting queries, but\nvirtually independently of the hardware and the\nimplementation issues. Under certain conditions, the\nproposed comparison methodology enables to perform\ncross-comparison of published research work without\n                 reimplementing other ray shooting algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            190
        ],
        "number": "TR-186-2-00-20",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "ray-tracing",
            "best efficiency scheme",
            "acceleration schemes",
            "spatial subdivision",
            "ray-shooting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Havran-2000-Com-paper.gz",
                "type": "application/octet-stream",
                "size": 67685,
                "path": "Publication:Havran-2000-Com",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Havran-2000-Com/Havran-2000-Com-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Havran-2000-Com/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2000-ExpX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting Eigenvalues of the Hessian Matrix for Volume Decimation",
        "date": "2000-10",
        "abstract": "In recent years the Hessian matrix and its eigenvalues became\nimportant in pattern recognition. Several algorithms based on the\ninformation they provide have been introduced. We recall the\nrelationship between the eigenvalues of Hessian matrix and the 2nd\norder edge detection filter, show the usefulness of treating them\nseparately  and exploit these facts to design a combined threshold\n                 operation to generate sparse data sets.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            187,
            166
        ],
        "number": "TR-186-2-00-19",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "Laplacian filter",
            "Eigenvalues",
            "Hessian matrix",
            "Sparse data",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hladuvka-2000-ExpX-paper.gz",
                "type": "application/octet-stream",
                "size": 532738,
                "path": "Publication:Hladuvka-2000-ExpX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-ExpX/Hladuvka-2000-ExpX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-ExpX/",
        "__class": "Publication"
    },
    {
        "id": "Schm-2000-Bri",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "OpenTracker - An Open Software Architecture for Reconfigurable\n                 Tracking based on XML",
        "date": "2000-09",
        "abstract": "This paper describes OpenTracker,\nan open software architecture that provides a generic\nsolution to the different tasks involved in tracking input devices and\nprocessing tracking data for virtual environments. It combines a\nhighly modular design with a configuration syntax based on XML, thus\ntaking full advantage of this new technology. OpenTracker is a first\nattempt towards a write once, track anywhere approach to virtual\nreality application development. To support these claims, integration\ninto an existing augmented reality system is demonstrated.\nOnce development is sufficiently mature, it is planned to\nmake OpenTracker available to the public under an open source software\nlicense.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            377,
            202
        ],
        "number": "TR-186-2-00-18",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "decoupled simulation",
            "XML",
            "tracking",
            "augmented reality",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schm-2000-Bri-paper.pdf",
                "type": "application/pdf",
                "size": 284711,
                "path": "Publication:Schm-2000-Bri",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-Bri/Schm-2000-Bri-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-Bri/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-2000-FPS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Feature-Preserving Smoothing",
        "date": "2000-09",
        "abstract": "The first version of the method presented in this paper\nis derived from\na terrain-modeling problem. The solution of this\nproblem leaded to a\ngeneral technique, which can be used for image\nprocessing purposes like\nimage restoration, noise filtering, and smoothing\npreserving the important\ncontours. The basic idea is the minimization of a\nglobal quadratic penalty\nfunction. This error function contains the quadratic\nglobal curvature of\nthe unknown image and additionally the difference of\nthe data values and\nthe gradient vectors between the original and the\nunknown image. The\ncomponents of the global error are weighted using an\nappropriate weighting\nfunction.\n\nThe gradient vectors are estimated from the original\nnoisy image using\nlinear regression. Under a certain threshold the\ngradient or its weight in\nthe quadratic error function is considered to be zero.\nThe method is\nnon-linear because the operations on the gradients\nand/or the assignment\nof the weighting factors are non-linear.\n\nThe minimization of the penalty function leads to a\nlinear equation system\nwith a large sparse coefficient matrix. It will be\nshown that it can be\nsolved by a special deconvolution if the weighting of\neach pixel is the same.\nThe deconvolution can be performed very efficiently in\nfrequency domain using\nthe well-known FFT algorithm. If the weighting\nfunction depends on pixel\npositions then the general conjugated gradient method\ncan be used in order\nto find the minimum location of the penalty function.\n\nHaving position-dependent weights the flexibility is\nhigher since at the\npositions, where the gradient magnitudes are lower the\nsmoothing effect can\nbe stronger while at the edges smoothing is not\nperformed. The main\ncharacteristic feature of the method can be realized\nwhen it is used for\nimage restoration, where the missing regions have to\nbe reconstructed.\nInstead of interpolation of the pixel values the\ngradient components are\ninterpolated, therefore continuous and non-blurred\ncontours can be obtained.\nThe method calculates densities, which fit best on the\ngradient field. The\nbasic idea can be applied for gradient interpolation\nas well, where the\ncomponent gx and gy of the gradient play the role of\nthe unknown variables.\nAnother special application field is the zooming of\nlow-resolution images\npreserving the sharp contours, which is rather\nimportant in rendering images\non the web or in digital photography. The method can\nbe used for color images\nseparately for three components, for instance using\nCIE Luv coordinates. The\n1D and 3D adaptation are obvious. The 1D version can\nbe used for interpolation\nproblems and sound filtering, while the 3D version is\ncapable for efficient\nprocessing of medical data sets (CT or MRI files),\ngeographical volumes,\narbitrary 3D distributions, or volumes defined by a\nsequence of frames in a\nmovie file.\n\nAmong the special 2D applications one of the most\nimportant ones is the\ncontinuous reconstruction from binary dithered images,\nwhich can be used\nrecursively for image compression. Furthermore, the 2D\nversion is usable for\nadaptive contrast enhancement. In this case, instead\nof the deviation from\nthe original density values, the deviation from a\nconstant value or the\ndeviation from the strongly blurred image is built\ninto the penalty function.\nLast but not least it can be extended to a\nmulti-resolution or hierarchical\nmethod, where the different resolution versions of the\nsame image are\nimproved in a parallel way and derivative filters\ndefined by wide finite\n                  kernels are used with a ring off weighting.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177
        ],
        "number": "TR-186-2-00-24",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "Antialiasing.",
            "Volume Rendering",
            "Image Processing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-2000-FPS-paper.gz",
                "type": "application/octet-stream",
                "size": 19145,
                "path": "Publication:Neumann-2000-FPS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Neumann-2000-FPS/Neumann-2000-FPS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Neumann-2000-FPS/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-2000-Tho",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Thorough Insights by Enhanced Visualization of Flow Topology",
        "date": "2000-08",
        "abstract": "The investigation of flow data can be eased by the\nvisualization of topological information about the flow.  Especially, when\nempirical models or numerical results from flow simulation are\ninvestigated, often the first step of analysis is to search\nstructural elements, like fixed points, separatrices, etc.\nThe work presented in this paper focuses on the visualization\nof 3D dynamical systems (comparable to flow data)\non the basis of results which are\nobtained by automatic analysis of the flow topology.\nFixed points are determined\nand the Jacobian matrix of the flow is investigated at these points\nof phase space to obtain the associated stable and/or unstable\ninvariant sets.  Furthermore, this paper presents how Poincare maps\nare used to visualize structural information about cyclic flow\ndata together with direct visualization cues like stream lines\n  or stream surfaces.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176,
            166
        ],
        "number": "TR-186-2-00-17",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hauser-2000-Tho-paper.gz",
                "type": "application/octet-stream",
                "size": 2339769,
                "path": "Publication:Hauser-2000-Tho",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hauser-2000-Tho/Hauser-2000-Tho-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hauser-2000-Tho/",
        "__class": "Publication"
    },
    {
        "id": "Kauf-2000-Con",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Construct3D: A Virtual Reality Application for Mathematics and Geometry Education",
        "date": "2000-06",
        "abstract": "Construct3D is a three dimensional geometric construction tool based on\nthe collaborative augmented reality system Studierstube. Our setup uses\na stereoscopic head mounted display (HMD) and the Personal Interaction\nPanel (PIP) - a two-handed 3D interaction tool that simplifies 3D model\ninteraction. Means of application in mathematics and geometry education\nat high school as well as university level are being discussed. A pilot\nstudy summarizes the strengths and possible extensions of our system.\nAnecdotal evidence supports our claim that the use of Construct3D is easy\nto learn and encourages experimentation with geometric constructions.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            378,
            202,
            379
        ],
        "number": "TR-186-2-00-16",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "education",
            "mathematics",
            "geometry",
            "augmented reality",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kauf-2000-Con-paper.pdf",
                "type": "application/pdf",
                "size": 578953,
                "path": "Publication:Kauf-2000-Con",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Kauf-2000-Con/Kauf-2000-Con-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Kauf-2000-Con/",
        "__class": "Publication"
    },
    {
        "id": "wonka-2000-VisP",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Preprocessing with Occluder Fusion for Urban Walkthroughs",
        "date": "2000-06",
        "abstract": "This paper presents an efficient algorithm for occlusion culling of urban environments. It is conservative and accurate in finding all significant occlusion. It discretizes the scene into view cells, for which cell-to-object visibility is precomputed, making on-line overhead negligible. Unlike other precomputation methods for view cells, it is able to conservatively compute all forms of occluder interaction for an arbitrary number of occluders. To speed up preprocessing, standard graphics hardware is exploited and occluder occlusion is considered. A walkthrough application running an 8 million polygon model of the city of Vienna on consumer-level hardware illustrates our results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 780,
            "image_height": 390,
            "name": "wonka-2000-VisP-image.jpg",
            "type": "image/jpeg",
            "size": 97349,
            "path": "Publication:wonka-2000-VisP",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            202
        ],
        "booktitle": "Rendering Techniques 2000 (Proceedings Eurographics Workshop on Rendering)",
        "editor": "Bernard Péroche and Holly Rushmeier",
        "isbn": "3-211-83535-0",
        "lecturer": [
            194,
            193
        ],
        "location": "held in Brno, Czech Republic, June 26-28, 2000",
        "organization": "Eurographics",
        "pages_from": "71",
        "pages_to": "82",
        "publisher": "Springer-Verlag Wien New York",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Visibility determination",
            "image-based rendering.",
            "occluder occlusion",
            "occluder fusion",
            "urban environments",
            "walkthrough",
            "real-time graphics",
            "shadow algorithms",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 780,
                "image_height": 390,
                "name": "wonka-2000-VisP-image.jpg",
                "type": "image/jpeg",
                "size": 97349,
                "path": "Publication:wonka-2000-VisP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wonka-2000-VisP-Paper.pdf",
                "type": "application/pdf",
                "size": 1164825,
                "path": "Publication:wonka-2000-VisP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-Paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/wonka-2000-VisP-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisP/",
        "__class": "Publication"
    },
    {
        "id": "Havran-2000-SCR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Statistical Comparison of Ray-Shooting Efficiency Schemes",
        "date": "2000-05",
        "abstract": "In this report we present an experimental efficiency\nstudy of spatial subdivision schemes for ray-shooting\nacceleration. Presented results are part of our\neffort to find the long-discussed best efficiency\nscheme from the statistical point of view. We propose\nfour testing procedures evaluating the ray-shooting\nalgorithm properties.  We use these methods to\nproduce hardware independent statistics for different\nray-shooting acceleration schemes that have been\nreimplemented following the published literature. We\ndefine the the minimal set of parameters to be\nreported as well as scene invariants, parameters that\nstay the same regardless of the acceleration scheme\nused.  The main results of first 1440 measurements\nfor 30 scenes from the SPD database and 12\nacceleration methods are reported. We also attempt to\noutline a method that suggests the most suitable\nacceleration scheme based on the scene complexity\n                 analysis of a given scene.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            203,
            199,
            190
        ],
        "number": "TR-186-2-00-14",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "ray-tracing",
            "best efficiency scheme",
            "acceleration schemes",
            "spatial subdivision",
            "ray-shooting"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Havran-2000-SCR-paper.gz",
                "type": "application/octet-stream",
                "size": 216887,
                "path": "Publication:Havran-2000-SCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Havran-2000-SCR/Havran-2000-SCR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Havran-2000-SCR/",
        "__class": "Publication"
    },
    {
        "id": "Schm-2000-BriX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bridging Multiple User Interface Dimensions with Augmented Reality",
        "date": "2000-05",
        "abstract": "Studierstube is an experimental user interface system,\nwhich bridges multiple user interface dimensions. At its core, it uses\ncollaborative augmented reality to incorporate true 3D interaction into\na productivity environment. This concept is extended to include multiple\nusers, multiple host platforms, multiple display types, multiple concurrent\napplications, and a multi-context (i. e., 3D document) interface - into a\nheterogeneous distributed environment. All this happens almost totally\ntransparent to the application programmer. With this architecture, we can\nexplore the user interface design space between pure augmented reality and\nthe popular ubiquitous computing paradigm. We report on our design philosophy\ncentered around the notion of contexts and locales, as well as the underlying\nsoftware and hardware architecture. To illustrate our presentation, we\npresent several applications including a storyboard tool for cinematographic\ndesign which showcases many features of our system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            205
        ],
        "number": "TR-186-2-00-15",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "three-dimensional user interface",
            "computer supported cooperative work",
            "distributed virtual environment",
            "ubiquitious computing",
            "user interface",
            "augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schm-2000-BriX-paper.pdf",
                "type": "application/pdf",
                "size": 1143578,
                "path": "Publication:Schm-2000-BriX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-BriX/Schm-2000-BriX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Schm-2000-BriX/",
        "__class": "Publication"
    },
    {
        "id": "invisible2000",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Invisible Person",
        "date": "2000-04-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "invisible2000-image.jpg",
            "type": "image/jpeg",
            "size": 4438,
            "path": "Publication:invisible2000",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "channel": "ORF2",
        "duration": "1:20",
        "program": "Schauplätze der Zukunft",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "High quality 16.5 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "invisible2000-High quality 16.5 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 17284832,
                "path": "Publication:invisible2000",
                "preview_name": "invisible2000-High quality 16.5 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-High quality 16.5 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-High quality 16.5 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-High quality 16.5 MB (DivX Codec):video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "invisible2000-image.jpg",
                "type": "image/jpeg",
                "size": 4438,
                "path": "Publication:invisible2000",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Low quality 1.7 MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "invisible2000-Low quality 1.7 MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 1779214,
                "path": "Publication:invisible2000",
                "preview_name": "invisible2000-Low quality 1.7 MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-Low quality 1.7 MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-Low quality 1.7 MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/invisible2000-Low quality 1.7 MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/invisible2000/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-2000-NDFS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Incoming First-Shot for Non-Diffuse Global Illumination",
        "date": "2000-04",
        "abstract": "This paper presents a method that can replace the small and medium\nsize lightsources by their effect in non-diffuse global illumination\nalgorithms. Incoming first-shot is a generalization of a preprocessing technique called\nthe first-shot that was developed for speeding up global diffuse\nradiosity algorithms. Alternatively, it can also be approached as\na generalization of the direct-lightsource computation involved\nin gathering type methods. In order to reduce the prohibitive memory requirements of the\noriginal first-shot when it is applied to non-diffuse scenes in a direct manner,\nthe proposed new method computes and stores only the incoming radiance generated by the lightsources\nand the reflected radiance is obtained from the incoming radiance on the fly\ntaking into account the local BRDF.\nSince the radiance function of the reflection is smoother and flatter\nthan the original lightsource function, this replacement\nmakes the integrand of the rendering equation have significantly smaller\nvariation, which can speed up global illumination algorithms.\nThe paper also discusses how the first-shot technique can be\nbuilt into a stochastic iteration algorithm using ray-bundles,\n                  and provides run-time statistics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206,
            207,
            208,
            216
        ],
        "number": "TR-186-2-00-04",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "first-shot",
            "finite-element techniques",
            "global methods",
            "Monte-Carlo quadrature",
            "stochastic iteration",
            "Non-diffuse global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szirmay-2000-NDFS-paper.pdf",
                "type": "application/pdf",
                "size": 257142,
                "path": "Publication:Szirmay-2000-NDFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Szirmay-2000-NDFS/Szirmay-2000-NDFS-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Szirmay-2000-NDFS/",
        "__class": "Publication"
    },
    {
        "id": "Faisst-2000-VPRR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scheduling for Very Large Virtual Environments and Networked Games Using Visibility and\nPriorities",
        "date": "2000-04",
        "abstract": "The problem of network bandwidth limitations is encountered in almost any distributed virtual\nenvironment or networked game. In a typical client-server setup, where the virtual world is managed by a server\nand replicated by connected clients which visualize the scene, the server must repeatedly transmit update messages\nto the clients. By employing visibility information, the number of messages transmitted over the network can be\nreduced by sending each client only update messages for objects which are visible from the viewpoint of the\nclient. A naïve approach requires to examine visibility between pairs of objects and leads to a quadratic effort\nin the number of objects, substantially affecting the scalability of such environments. This paper presents a\ntechnique that allows the server to manage the transmission of update messages for each client with a constant\noverhead, reducing overall computational cost to a linear effort. We show how the server can employ visibility\ninformation to schedule all objects using the Priority Round-Robin algorithm. This algorithm is further enhanced\nwith activity monitoring that provides a graceful degradation of the system's performance, even if the behavior of\nobjects is unpredictable. This makes the algorithm suited to schedule update messages regarding server-controlled\nobjects as well as user-controlled avatars.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            230,
            202,
            190
        ],
        "number": "TR-186-2-00-09",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Visibility",
            "Scheduling",
            "Distributed Systems",
            "Networking",
            "Virtual Environments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Faisst-2000-VPRR-paper.pdf",
                "type": "application/pdf",
                "size": 752288,
                "path": "Publication:Faisst-2000-VPRR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Faisst-2000-VPRR/Faisst-2000-VPRR-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Faisst-2000-VPRR/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-2000-MWI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Windows: Improving Reconstruction",
        "date": "2000-04",
        "abstract": "Ideal reconstruction filters, for function or arbitrary\nderivative\nreconstruction, have to be bounded in order to be\npracticable since they are infinite in their spatial extent. This can\nbe accomplished by multiplying them with windowing functions. In this\npaper we discuss and assess the quality of commonly used windows and\nshow that most of them are unsatisfactory in terms of numerical\naccuracy. The best performing windows are Blackman, Kaiser and\nGaussian windows. The latter two are particularly useful since both\nhave a parameter to control their shape, which, on the other hand,\nrequires to find appropriate values for these parameters. We show how\nto derive optimal parameter values for Kaiser and Gaussian windows\nusing a Taylor series expansion of the convolution sum. Optimal values\nfor function and first derivative reconstruction for window widths of\n                 two, three, four and five are presented explicitly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            176,
            166
        ],
        "number": "TR-186-2-00-08",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Taylor series expansion",
            "frequency response",
            "windowing",
            "ideal reconstruction"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Theussl-2000-MWI-paper.gz",
                "type": "application/octet-stream",
                "size": 2372210,
                "path": "Publication:Theussl-2000-MWI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Theussl-2000-MWI/Theussl-2000-MWI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Theussl-2000-MWI/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-2000-TwoX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two-level volume rendering - fusing MIP and DVR",
        "date": "2000-04",
        "abstract": "In this paper we present a two-level approach for\nfusing direct\nvolume rendering (DVR) and maximum-intensity projection (MIP)\nwithin a joint rendering method.\nDifferent structures within the data-set are rendered locally by\neither MIP or DVR on an object-by-object basis.  Globally all the\nresults of subsequent object renderings are combined in a merging step\n(usually compositing in our case).  This allows to selectively\nchoose the most\nsuitable technique for depicting each object\nwithin the data, while keeping the amount of information contained in\nthe image at a reasonable level.\nThis is especially useful when inner\nstructures should be visualized together with semi-transparent outer\nparts, similar to the focus-and-context approach known\nfrom information visualization. We also present an implementation of our\n\napproach, which allows to explore volumetric data using\ntwo-level rendering at interactive frame rates.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176,
            184,
            385,
            166
        ],
        "number": "TR-186-2-00-11",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "dynamical systems",
            "interactive visualization",
            "maximum intensity projection",
            "direct volume rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hauser-2000-TwoX-paper.gz",
                "type": "application/octet-stream",
                "size": 4077931,
                "path": "Publication:Hauser-2000-TwoX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hauser-2000-TwoX/Hauser-2000-TwoX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hauser-2000-TwoX/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-2000-MasX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Surface Rendering for Java-Based\nDiagnostic Applications",
        "date": "2000-04",
        "abstract": "The display of iso-surfaces in medical data sets is an\nimportant visualization\ntechnique used by radiologists for the diagnosis of volumetric density\ndata sets.  The demands put by  radiologists on such a display\ntechnique are interactivity, multiple stacked transparent surfaces and\ncutting planes that allow an interactive clipping of the\nsurfaces. This paper presents a Java based, platform independent\nimplementation of a very fast surface rendering algorithm which\ncombines the advantages of explicit surface representation, splatting,\nand\nshear-warp projection to fulfill all these requirements. The algorithm\nis\nimplemented within the context of J-Vision, an application for viewing\nand\ndiagnosing medical images which is currently in use at various\nhospitals.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            165,
            166
        ],
        "number": "TR-186-2-00-10",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [],
        "keywords": [
            "medical applications",
            "surface rendering",
            "volume visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-2000-MasX-paper.gz",
                "type": "application/octet-stream",
                "size": 434839,
                "path": "Publication:Mroz-2000-MasX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Mroz-2000-MasX/Mroz-2000-MasX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Mroz-2000-MasX/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-2000-ATFS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Transfer Function Specification by using\nVolumePro Technology",
        "date": "2000-03",
        "abstract": "A new user-interface paradigm for the specification of\ntransfer functions is presented. The specification is usually a\ndifficult task as mapping information for a number of different domains\n(data range, color, opacity, etc.) has to be defined.\nIn the presented approach, the definition of the mapping information can\nbe realized independently for each property domain. A\nset of specification tools is provided for each domain, enabling users\nwith different levels of experience or demanding\ntime restrictions to choose an appropriate approach for their needs.\nReal-time feedback during the manipulation of parameters\nhas been proven to be crucial to the specification. An interactive\ndirect-volume-rendering display is realized by utilizing dedicated\nhardware acceleration.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197,
            166
        ],
        "number": "TR-186-2-00-07",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "VolumePro ray-casting system",
            "Transfer Function Specification",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koenig-2000-ATFS-paper.pdf",
                "type": "application/pdf",
                "size": 3573189,
                "path": "Publication:Koenig-2000-ATFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Koenig-2000-ATFS/Koenig-2000-ATFS-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Koenig-2000-ATFS/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkitt-2000-MIV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Virtual Bronchioscopy on a Low--End PC",
        "date": "2000-03",
        "abstract": "Virtual endoscopy presents the cross-sectional acquired 3D-data of\na computer tomograph as an endoluminal view. The common approach\nfor the visualization of a virtual endoscopy is surface rendering,\nyielding images close to a real endoscopy. If external structures\nare of interest, volume rendering techniques have to be used.\nThese methods do not display the exact shape of the inner lumen\nvery well. For certain applications, e.g. operation planning of a\ntrans-bronchial biopsy, both, the shape of the inner lumen as well\nas outer structures like blood vessels and the tumor have to be\ndelineated. In this paper a method is described, that allows a\nquick and easy hybrid visualization using overlays of different\nvisualization methods like different surfaces or volume renderings\nwith different transfer functions in real time on a low-end PC. To\nachieve real time frame rates, image based rendering techniques\n                have been used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            459,
            381,
            382,
            383,
            166
        ],
        "number": "TR-186-2-00-13",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "visualization system",
            "virtual endoscopy",
            "medical visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wegenkitt-2000-MIV-paper.gz",
                "type": "application/x-zip",
                "size": 4902482,
                "path": "Publication:Wegenkitt-2000-MIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Wegenkitt-2000-MIV/Wegenkitt-2000-MIV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Wegenkitt-2000-MIV/",
        "__class": "Publication"
    },
    {
        "id": "wonka-2000-VisX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visibility Preprocessing with Occluder Fusion for\n                 Urban Walkthroughs",
        "date": "2000-03",
        "abstract": "This paper presents an efficient algorithm for occlusion culling of urban environments. It is conservative and accurate in finding all significant occlusion. It discretizes the scene into view cells, for which cell-to-object visibility is precomputed, making on-line overhead negligible. Unlike other precomputation methods for view cells, it is able to conservatively compute all forms of occluder interaction for an arbitrary number of occluders. To speed up preprocessing, standard graphics hardware is exploited and occluder occlusion is considered. A walkthrough application running an 8 million polygon model of the city of Vienna on consumer-level hardware illustrates our results.",
        "authors_et_al": false,
        "substitute": "wonka-2000-VisP",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            193,
            202
        ],
        "number": "TR-186-2-00-06",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "image-based                rendering.",
            "occluder occlusion",
            "occluder fusion",
            "urban environments",
            "                walkthrough",
            "real-time graphics",
            "shadow algorithms",
            "occlusion culling",
            "Visibility determination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wonka-2000-VisX-paper.pdf",
                "type": "application/pdf",
                "size": 1254656,
                "path": "Publication:wonka-2000-VisX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisX/wonka-2000-VisX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/wonka-2000-VisX/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2000-CAT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cylindrical Approximation of Tubular Organs for Virtual Endoscopy",
        "date": "2000-02",
        "abstract": "Virtual endoscopy is a promising medical application of volume visualization techniques. A virtual endoscopy system requires high\nquality and perspective projection rendering, as well as real-time navigation. In this paper the generation of a cylindrical\nstructure for tubular shaped organs (i.e. colon, aorta) is presented. This structure represents an approximation of the real\norgan. The cylindrical structure will be used to accelerate high quality volume rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            197,
            166
        ],
        "number": "TR-186-2-00-02",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vilanova-2000-CAT-paper.gz",
                "type": "application/x-zip",
                "size": 1181511,
                "path": "Publication:Vilanova-2000-CAT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-CAT/Vilanova-2000-CAT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-CAT/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2000-GELR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gradient Estimation in Volume Data using 4D Linear Regression",
        "date": "2000-02",
        "abstract": "In this paper a new gradient estimation method is\npresented which is based on linear regression. Previous contextual\nshading techniques try to fit an approximate function to a set of surface\npoints in the neighborhood of a given voxel. Therefore, a system\nof linear equations has to be solved using the computationally\nexpensive Gaussian elimination. In contrast, our method\napproximates the density function itself in a local neighborhood with a 3D\nregression hyperplane.   This approach also leads to a system of linear\nequations but we will show that it can be solved with an efficient convolution.\nOur method provides at each voxel location the normal vector and\nthe translation of the regression hyperplane which are considered as a\ngradient and a filtered density value respectively. Therefore, this\ntechnique can be used for surface smoothing and gradient estimation at\nthe same time. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            233,
            197,
            166
        ],
        "number": "TR-186-2-00-03",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Linear Regression.",
            "Gradient Estimation",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-2000-GELR-paper.gz",
                "type": "application/octet-stream",
                "size": 654844,
                "path": "Publication:Csebfalvi-2000-GELR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-GELR/Csebfalvi-2000-GELR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-GELR/",
        "__class": "Publication"
    },
    {
        "id": "vrvis2000",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "VRVis and VRC",
        "date": "2000-01-25",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "vrvis2000-image.jpg",
            "type": "image/jpeg",
            "size": 8245,
            "path": "Publication:vrvis2000",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "channel": "TIV",
        "duration": "10:00",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "High quality 127.0MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "vrvis2000-High quality 127.0MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 133154090,
                "path": "Publication:vrvis2000",
                "preview_name": "vrvis2000-High quality 127.0MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-High quality 127.0MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-High quality 127.0MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-High quality 127.0MB (DivX Codec):video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "vrvis2000-image.jpg",
                "type": "image/jpeg",
                "size": 8245,
                "path": "Publication:vrvis2000",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Low quality 15.2MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "vrvis2000-Low quality 15.2MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 15956624,
                "path": "Publication:vrvis2000",
                "preview_name": "vrvis2000-Low quality 15.2MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-Low quality 15.2MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-Low quality 15.2MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/vrvis2000-Low quality 15.2MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/vrvis2000/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-2000-Hie",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hierarchical Stochastic Radiosity for Implicitly Defined Surfaces",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216
        ],
        "note": "In Machine Graphics & Vision, Vol. 9, No. 3, pp.561-571, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Tobler-2000-Hie/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-2000-Cyl",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Cylindrical Approximation of Tubular Organs for Virtual Endoscopy",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            459
        ],
        "note": "Proceedings of Computer Graphics and Imaging 2000, IASTED/ACTA Press, 2000, pp. 283-289",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Vilanova-2000-Cyl/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-2000-Mas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Virtual Bronchioscopy on a Low-End PC",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            95,
            165,
            166,
            381,
            382,
            459
        ],
        "note": "IEEE Visualization 2000 Proceedings, 2000, pp. 461-464",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Wegenkittl-2000-Mas/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-2000-Ray",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Raytracing of Dispersion Effects",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            192,
            216
        ],
        "note": "In Proceedings of WSCG2000, Plzen, Czech Republic, February 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Wilkie-2000-Ray/",
        "__class": "Publication"
    },
    {
        "id": "xmas-2000",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 2000",
        "date": "2000",
        "abstract": "The cover shows a fantasy scene using the data of a real steam locomotive (the former Austrian type 310) modelled by Katharina Weislein. The image was rendered with ART (Advanced Rendering Toolkit).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 743,
            "image_height": 512,
            "name": "xmas-2000-image.jpg",
            "type": "image/jpeg",
            "size": 42495,
            "path": "Publication:xmas-2000",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            600
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 743,
                "image_height": 512,
                "name": "xmas-2000-image.jpg",
                "type": "image/jpeg",
                "size": 42495,
                "path": "Publication:xmas-2000",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/xmas-2000-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/xmas-2000/",
        "__class": "Publication"
    },
    {
        "id": "Berger-2000-Col",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color-Table Animation of Fast Oriented Line Integral Convolution for Vector Field Visualization",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            67,
            166
        ],
        "note": "N. M. Thalmann, V. Skala (eds.), Proceedings of WSCG'2000, the 8-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'2000, February 7-10, 2000, Plzen, Czech Republic, Vol. 1, pp. 4-11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Berger-2000-Col/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2000-ANe",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Intersection Algorithm for Parametric Surfaces Based on Linear Interval Estimations",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            231
        ],
        "note": "Scientific Computing, Validated Numerics, Interval Methods, Walter Kämer, Jürgen Wolff von Gudenberg (eds.), Kluwer Academic Publishers, Boston/Dordrecht/London, 2001. <br>Proceedings of SCAN 2000 - International Symposium on Scientific Computing, Computer Arithmetics and Validated Numerics, Karlsruhe, Germany, September 18-22, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Buehler-2000-ANe/",
        "__class": "Publication"
    },
    {
        "id": "Buehler-2000-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Intersecting Parametric Surfaces Using Special Arithmetics",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            231
        ],
        "note": "extended Abstract, Alhambra 2000 Conference, Granada, Spain July 3-7, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Buehler-2000-Int/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2000-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Surface Rendering of Volumetric Data",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            233
        ],
        "note": "N.M.Thalmann, V. Skala (eds.), Proceedings of WSCG'2000, the 8-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'2000, February 7-11, 2000, Plzen, Czech Republic, Short communication papers, pp. 9-16",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-2000-Gra",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gradient Estimation in Volume Data using 4D Linear Regression",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            177,
            197,
            233
        ],
        "note": "Eurographics 2000, Interlaken, Switzerland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Csebfalvi-2000-Gra/",
        "__class": "Publication"
    },
    {
        "id": "dataset-viennacity",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Vienna City Model",
        "date": "2000",
        "abstract": "The city models used in the Urban Visualization project (http://www.cg.tuwien.ac.at/research/vr/urbanviz/).\r\n\r\nSee \r\nhttp://www.cg.tuwien.ac.at/research/vr/urbanmodels/index.html",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 100,
            "image_height": 100,
            "name": "dataset-viennacity-image.jpg",
            "type": "image/jpeg",
            "size": 2308,
            "path": "Publication:dataset-viennacity",
            "url": "https://www.cg.tuwien.ac.at/research/publications/2000/dataset-viennacity/dataset-viennacity-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/dataset-viennacity/dataset-viennacity-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            194
        ],
        "research_areas": [],
        "keywords": [
            "Vienna"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 100,
                "image_height": 100,
                "name": "dataset-viennacity-image.jpg",
                "type": "image/jpeg",
                "size": 2308,
                "path": "Publication:dataset-viennacity",
                "url": "https://www.cg.tuwien.ac.at/research/publications/2000/dataset-viennacity/dataset-viennacity-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/2000/dataset-viennacity/dataset-viennacity-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/dataset-viennacity/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-2000-Pri",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Priority Round-Robin Scheduling for Very Large Virtual Environments",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            230
        ],
        "note": "Proceedings of IEEE VR'2000, pp. 135-142, NEw Brunswick, NJ, 2000 (honorable mention in best paper award selection)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Faisstnauer-2000-Pri/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-2000-Prio",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Priority Scheduling for Networked Virtual Environments",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            230
        ],
        "note": "In IEEE Computer Graphics and Applications, VOl. 20(6), pp. 66-75, November 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Faisstnauer-2000-Prio/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-2000-Sch",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Scheduling for very large Virtual Environments and Networked Games using Visibility and Priorities",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            230
        ],
        "note": "In Proceedings of the DIS-RT 2000 conference, pp. 31-38, San Francisco, CA, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Faisstnauer-2000-Sch/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-2000-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive High-Quality Maximum Intensity Projection",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            176,
            184
        ],
        "note": "Computer Graphics Forum 19(3), 2000, pp. C-341 - C-350",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Mroz-2000-Int/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-2000-Mas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Mastering Interactive Surface Rendering for Java-Based Diagnostic Applications",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            184
        ],
        "note": "IEEE Visualization 2000 Proceedings, 2000, pp. 437-440",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Mroz-2000-Mas/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-2000-Rea",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Maximum Intensity Projection",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            184,
            197
        ],
        "note": "In E. Gröller, H. Löffelmann, B. Ribarsky (eds.), Data Visualization'99, Springer Wien, pp. 135-144. Revised version \"Maximum Intensity Projection at Warp Speed\" in the Journal Computers & Graphics, 24(3), June 2000, pp. 343-352",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Mroz-2000-Rea/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-2000-Gra",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gradient Estimation in Volume Data using 4D Linear Regression",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            177,
            197,
            233
        ],
        "note": "Computer Graphics Forum 19(3), 2000, pp. C-351 - C-357",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Neumann-2000-Gra/",
        "__class": "Publication"
    },
    {
        "id": "Prikryl-2000-Imp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Hierarchical Stochastic Ray Radiosity",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            199,
            389
        ],
        "note": "In Proceedings of the 8th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'2000 (ed. V. Skala), vol.short comm. pp. 100-106, University of West Bohemia, Czech Republic, February 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Prikryl-2000-Imp/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2000-Cur",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Curvature-Based Transfer Functions for Direct Volume Rendering",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            187,
            197
        ],
        "note": "Proceedings of Spring Conference on Computer Graphics and its Applications 2000 (SCCG 2000), Budmerice, Slovakia, May 3rd-6th, 2000, pp. 58-65",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-Cur/",
        "__class": "Publication"
    },
    {
        "id": "Knoll-2000-AJi",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Jini Service to Reconstruct Tomographic Data",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            77,
            78,
            79,
            80,
            81,
            166
        ],
        "note": "IEEE Transactions on Medical Imaging, 19(12), 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Knoll-2000-AJi/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-2000-AlV",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "AlVis - an Aluminium-Foam Visualization and Investigation Tool",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            83,
            166,
            197,
            212,
            213
        ],
        "note": "In W. deLeeuw R. vanLiere, (eds.), Data Visualization 2000, Springer Wien, pp. 229-238",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Koenig-2000-AlV/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-2000-AlVi",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "AlVis - An Aluminium-Foam Visualization and Investigation Tool",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            83,
            166,
            197,
            212,
            213
        ],
        "note": "Joint Eurographics - IEEE TCVG Symposium on Visualization (VisSym00), Amsterdam, Netherlands",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Koenig-2000-AlVi/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-2000-Pra",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Practical Calibration Procedures for Augmented Reality",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            204
        ],
        "note": "In Environments'2000, pp. 3-12, Springer-Verlag, Wien, 2000",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Fuhrmann-2000-Pra/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-2000-Vis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Analytically Defined Dynamical Systems",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            399
        ],
        "note": "In H. Hagen, G.M. Nielson, F. Post (eds.), Proceedings Dagstuhl'97, Scientific Visualization, IEEE Computer Society, 2000, pp. 71-82",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Groeller-2000-Vis/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-2000-Two",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two-level volume rendereing - fusing MIP and DVR",
        "date": "2000",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            176,
            184,
            385
        ],
        "note": "IEEE Visualization 2000 Proceedings, 2000, pp. 211-218. Revised version will be published in IEEE Transactions on Computer Graphics and Visualization",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/2000/Hauser-2000-Two/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1999-FWIb",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Walkthroughs with Image Caches and Ray Casting",
        "date": "1999-12",
        "abstract": "We present an output-sensitive rendering algorithm for accelerating walkthroughs of large, densely occluded virtual environments using a multi-stage Image Based Rendering Pipeline. In the first stage, objects within a certain distance are rendered using the traditional graphics pipeline, whereas the remaining scene is rendered by a pixel-based approach using an Image Cache, horizon estimation to avoid calculating sky pixels, and finally, ray casting. The time complexity of this approach does not depend on the total number of primitives in the scene. We have measured speedups of up to one oder of magnitude.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            402,
            202
        ],
        "issn": "0097-8493",
        "journal": "Computers and Graphics",
        "number": "6",
        "pages_from": "831",
        "pages_to": "838",
        "volume": "23",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIb/",
        "__class": "Publication"
    },
    {
        "id": "Hladuvka-2000-CTF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Overview of Perceptually-Driven Radiosity Methods",
        "date": "1999-12",
        "abstract": "Despite its popularity among researchers the radiosity\nmethod still suffers of some disadvantages over other\nglobal illumination methods. Besides the fact that the\noriginal method allows only for solving the global\nillumination of environments consisting of purely\ndiffuse surfaces, the method is rather computationally\ndemanding. In the search for possible speed-up\ntechniques one of the possibilities is to take also the\ncharacteristic features of the human visual\nsystem. Being aware of how the human visual perception\nworks, one may compute the radiosity solution to lower\naccuracy in terms of physically based error metrics, but\nbeing sure that the physically correct solution won't\nbring any improvements in the image for the human\nobserver.  In the following report we briefly summarize\nachievements in the radiosity research in the past years\nand present the state of the art in perceptual\napproaches used in computer graphics nowadays. We will\ngive an overview of known tone-mapping and\nperceptually-based image comparison techniques that can\nbe used in the scope of the radiosity method to further\nspeed up the computational process. In the second part\nof the report we concentrate on known radiosity methods\nthat already use these perceptual approaches to predict\ndifferent visible errors of the result of the radiosity\ncomputation. We will not speak about importance-driven\nradiosity solutions, as those methods are based on using\ngeometric visibility rather than on using human\n              perception-aware techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            199,
            190
        ],
        "number": "TR-186-2-99-26",
        "pages_from": "1",
        "pages_to": "17",
        "research_areas": [],
        "keywords": [
            "perception",
            "image difference",
            "tone-mapping",
            "radiosity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hladuvka-2000-CTF-paper.gz",
                "type": "application/octet-stream",
                "size": 132262,
                "path": "Publication:Hladuvka-2000-CTF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hladuvka-2000-CTF/Hladuvka-2000-CTF-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hladuvka-2000-CTF/",
        "__class": "Publication"
    },
    {
        "id": "koenig-1999-AlV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "AlVis - An Aluminium-Foam Visualization and\nInvestigation Tool",
        "date": "1999-12",
        "abstract": "In recent years there has been an increased interest in\nmetal foams in the field of material science. The stress absorbing\npotential is one of the most interesting properties for the application\nof aluminium foam (e.g. car manufacturing). Material\nscientists need to investigate the structure of metal foams in order to\noptimize their deformation behavior. An interactive tool\nfor the investigation is presented in this work. Real-time surface\nrendering, automatic parameter determination, and display of\nlocal and global foam properties enable the user to understand the\ncomplex structure of the metal foam.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197,
            212,
            213,
            83,
            166
        ],
        "number": "TR-186-2-99-23",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "surface extraction",
            "aluminum foam investigation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "koenig-1999-AlV-paper.gz",
                "type": "application/octet-stream",
                "size": 6648738,
                "path": "Publication:koenig-1999-AlV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/koenig-1999-AlV/koenig-1999-AlV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/koenig-1999-AlV/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-IHQ",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive High-Quality Maximum Intensity Projection",
        "date": "1999-12",
        "abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to visualize high-intensity structures within volumetric\ndata. At each pixel the highest data value, which is encountered along a\n\ncorresponding viewing ray is depicted. MIP is, for example, commonly\nused to\nextract vascular structures from medical data sets (angiography). Due\nto lack of depth information in MIP images, animation or interactive\nvariation of viewing parameters is frequently used for\ninvestigation. Up to now no MIP algorithms exist which are of both\ninteractive speed and high quality.\nIn this paper we present a high-quality MIP algorithm (trilinear\ninterpolation within cells), which is up to 50 times faster than\nbrute-force MIP and at least 20 times faster than comparable optimized\ntechniques. This speed-up is accomplished by using an alternative\nstorage scheme for volume cells (sorted by value) and by removing\ncells which do not contribute to any MIP projection (regardless of the\nviewing direction) in a preprocessing step. Also, a fast maximum\nestimation within cells is used to further speed up the algorithm.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            176,
            166
        ],
        "number": "TR-186-2-99-25",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "trilinear interpolation",
            "angiography",
            "maximum intensity projection",
            "volume visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1999-IHQ-paper.gz",
                "type": "application/octet-stream",
                "size": 477219,
                "path": "Publication:Mroz-1999-IHQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-IHQ/Mroz-1999-IHQ-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-IHQ/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-MIP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Maximum Intensity Projection at Warp Speed",
        "date": "1999-12",
        "abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to extract high-intensity structures from volumetric\nscalar data. At\neach pixel the highest data value encountered along the\ncorresponding viewing ray is determined. MIP is commonly used to\nextract vascular\nstructures from medical MRI data sets, i.e., angiography. The usual way\nto\ncompensate for the loss of spatial and occlusion information in MIP\nimages\nis to view the data from different view points by rotating them. As the\ngeneration of a MIP is usually non-interactive, this is done by\ncalculating\nmultiple images offline and playing them back as an animation.\n\nIn this paper a novel algorithm is proposed which is capable of\ninteractively\ngenerating Maximum Intensity Projection images even on low-end\nhardware using parallel\nprojection. Two methods for preprocessing data and removing voxels\nwhich will due to their neighborhood never contribute\nto a MIP are discussed. The remaining voxels are stored in\na way which guarantees\noptimal cache coherency regardless of the viewing direction. For use\non low-end hardware, a preview-mode is included which renders only the\nmore significant parts of the volume during user interaction.\nFurthermore\nwe demonstrate the usability of our data\nstructure for extensions of the MIP technique like MIP with\ndepth-shading and Local Maximum Intensity Projection (LMIP).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            197,
            166
        ],
        "number": "TR-186-2-99-24",
        "pages_from": "1",
        "pages_to": "16",
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "maximum intensity projection",
            "volume visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1999-MIP-paper.gz",
                "type": "application/octet-stream",
                "size": 495097,
                "path": "Publication:Mroz-1999-MIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-MIP/Mroz-1999-MIP-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-MIP/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-1999-SSI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smart surface interrogation for advanced visualization\ntechniques",
        "date": "1999-11",
        "abstract": "Highly elaborated visualization techniques that are based on\nsurfaces often are independent from the origin of the surface data.\nNevertheless, most of the recently presented advanced visualizatio\nmethods were developed\nfor a specific type of surface although principally applicable\nto generic surfaces.  In this paper we discuss a unified surface\ninterrogation model which provides generic access to surface\nproperties up to degree two, i.e., surface-point locations,\nnormals, and curvature properties, regardless of the origin\nof the surface.  Surface types and interrogation algorithms\nare compared and summarized.  At the end of this paper we present\n                an object-oriented implementation of this model, called {\\sc{}Smurf",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176,
            175,
            197,
            166
        ],
        "number": "TR-186-2-99-19",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "surface properties",
            "surfaces",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hauser-1999-SSI-paper.gz",
                "type": "application/octet-stream",
                "size": 1251291,
                "path": "Publication:Hauser-1999-SSI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hauser-1999-SSI/Hauser-1999-SSI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hauser-1999-SSI/",
        "__class": "Publication"
    },
    {
        "id": "Prikryl-1999-PDT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance-Driven Hierarchical Stochastic Ray Radiosity",
        "date": "1999-10",
        "abstract": "We present a hierarchical Monte-Carlo radiosity\nalgorithm driven by the view importance. Using this\nquantity it is possible to concentrate the\ncomputational effort on solution in the immediate\nenvironment of the observer, trading the low\nsolution quality in invisible areas for better\nquality in areas that are visible for the\nobserver. This is achieved by modifying the sampling\nprobabilities of scene elements so that more samples\nare concentrated in the area of high importance and\nby extending the subdivision oracle function so that\nthe subdivision is coarser in areas of low\n                  importance.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            199,
            389,
            190
        ],
        "number": "TR-186-2-99-22",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "view potential",
            "view importance",
            "hierarchical refinement",
            "hierarchy",
            "radiosity",
            "Monte-Carlo"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Prikryl-1999-PDT-paper.gz",
                "type": "application/octet-stream",
                "size": 365279,
                "path": "Publication:Prikryl-1999-PDT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-PDT/Prikryl-1999-PDT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-PDT/",
        "__class": "Publication"
    },
    {
        "id": "Theussl-1999-MDH",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Multi-Dimensional Hartley Transform as a Basis for Volume\nRendering",
        "date": "1999-10",
        "abstract": "The Fast Hartley Transform (FHT), a discrete version of the Hartley\nTransform (HT), has been studied in various papers and shown to be\nfaster and more convenient to implement and handle than the\ncorresponding Fast Fourier Transform (FFT).  As the HT is not as\nnicely separable as the FT, a multidimensional version of the HT\nneeds to perform a final correction step to convert the result of\nseparate HTs for each dimension into the final multi-dimensional\ntransform. Although there exist algorithms for two and three\ndimensions, no generalization to arbitrary dimensions can be found\nin the literature. We demonstrate an easily comprehensible and\nefficient implementation of the fast HT and its multi-dimensional\nextension.  By adapting this algorithm to volume rendering by the\nprojection-slice theorem and by the use for filter analysis in\nfrequency domain we further demonstrate the importance of the HT in\n                 this application area.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            175,
            216,
            166
        ],
        "number": "TR-186-2-99-21",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "Fourier transform",
            "Hartley transform"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Theussl-1999-MDH-paper.gz",
                "type": "application/octet-stream",
                "size": 353179,
                "path": "Publication:Theussl-1999-MDH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Theussl-1999-MDH/Theussl-1999-MDH-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Theussl-1999-MDH/",
        "__class": "Publication"
    },
    {
        "id": "schmalstieg-1999-Coa",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coarse View-Dependent Levels of Detail for Hierarchical\nand Deformable Models",
        "date": "1999-09",
        "abstract": "While a large amount of work is geared towards\nmulti-resolution modeling and rendering, the presented methods work\nalmost exclusively with static models and scenes. The ASLOD\n(Animated Smooth Level Of Detail) approach presented in this paper\nis capable of rendering animated scenes consisting of mixtures of\nconventional and multi-resolution models. It features coarse view-dependent\nmulti-resolution rendering by a consistent decomposition of large models\ninto arbitrary regions together with an analytic solution to optimize\npolygon allocation to such assemblies of multi-resolution models.\nThe multi-resolution model can be used together with animated\nhierarchical scene graphs. Finally, the multi-resolution model\ncan be combined with a hierarchical skeleton and a real-time\ndeformation algorithm for animating organic shapes rendered\n at any desired level of detail.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204
        ],
        "number": "TR-186-2-99-20",
        "pages_from": "1",
        "pages_to": "17",
        "research_areas": [],
        "keywords": [
            "articulated figures",
            "rigid bodies",
            "deformation",
            "scene graph",
            "hierarchical modeling",
            "coarse view-dependent rendering",
            "multi-resolution models",
            "level of detail"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmalstieg-1999-Coa-paper.pdf",
                "type": "application/pdf",
                "size": 557061,
                "path": "Publication:schmalstieg-1999-Coa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/schmalstieg-1999-Coa/schmalstieg-1999-Coa-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/schmalstieg-1999-Coa/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-1999-Occ",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occluder Shadows for Fast Walkthroughs of Urban Environments.",
        "date": "1999-09",
        "abstract": "This paper describes a new algorithm that employs image-based rendering for fast occlusion culling in complex urban environments. It exploits graphics hardware to render and automatically combine a relatively large set of occluders. The algorithm is fast to calculate and therefore also useful for scenes of moderate complexity and walkthroughs with over 20 frames per second. Occlusion is calculated dynamically and does not rely on any visibility precalculation or occluder preselection. Speed-ups of one order of magnitude can be obtained.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            202
        ],
        "date_from": "1999-09-07",
        "date_to": "1999-09-11",
        "event": "EUROGRAPHICS'99",
        "issn": "1067-7055",
        "journal": "Computer Graphics Forum",
        "location": "Milan, Italy",
        "number": "3",
        "pages_from": "51",
        "pages_to": "60",
        "volume": "18",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wonka-1999-Occ/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-1999-Pri",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Priority Round-Robin Scheduling for Very Large Virtual\nEnvironments",
        "date": "1999-08",
        "abstract": "In virtual environments containing a very large number\nof objects, the limited amount of available resources often proves to be\na bottleneck, causing a competition for those resources – for example\nnetwork bandwidth, processing power or the rendering pipeline. This\nleads to a degradation of the system’s performance, as only a small\nnumber of elements can be granted the resource required. In this paper\nwe present a generic scheduling algorithm that allows to achieve a\ngraceful degradation; it is output sensitive, minimizes the risk of\nstarvation and enforces priorities based on a freely definable error\nmetric. Hence it can be employed in virtual environments of almost any\nsize, to schedule elements which are competing for a determined\nresource, because of a bottleneck.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            230,
            202,
            190
        ],
        "number": "TR-186-2-99-18",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "LOD",
            "graceful degradation",
            "very large virtual environments",
            "round robin",
            "priority",
            "output sensitive",
            "scheduling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Faisstnauer-1999-Pri-paper.gz",
                "type": "application/octet-stream",
                "size": 327860,
                "path": "Publication:Faisstnauer-1999-Pri",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Faisstnauer-1999-Pri/Faisstnauer-1999-Pri-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Faisstnauer-1999-Pri/",
        "__class": "Publication"
    },
    {
        "id": "invisible1999",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Invisible Person",
        "date": "1999-06-16",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "invisible1999-image.jpg",
            "type": "image/jpeg",
            "size": 5087,
            "path": "Publication:invisible1999",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "channel": "ORF2",
        "duration": "5:20",
        "program": "Modern Times",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "High quality 68.3MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "invisible1999-High quality 68.3MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 71584606,
                "path": "Publication:invisible1999",
                "preview_name": "invisible1999-High quality 68.3MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-High quality 68.3MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-High quality 68.3MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-High quality 68.3MB (DivX Codec):video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "invisible1999-image.jpg",
                "type": "image/jpeg",
                "size": 5087,
                "path": "Publication:invisible1999",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Low quality 6.8MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "invisible1999-Low quality 6.8MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 7176394,
                "path": "Publication:invisible1999",
                "preview_name": "invisible1999-Low quality 6.8MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-Low quality 6.8MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-Low quality 6.8MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/invisible1999-Low quality 6.8MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/invisible1999/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1999-FWIa",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Walkthroughs with Image Caches and Ray Casting",
        "date": "1999-06",
        "abstract": "We present an output-sensitive rendering algorithm for accelerating walkthroughs of large, densely occluded virtual environments using a multi-stage Image Based Rendering Pipeline. In the first stage, objects within a certain distance are rendered using the traditional graphics pipeline, whereas the remaining scene is rendered by a pixel-based approach using an Image Cache, horizon estimation to avoid calculating sky pixels, and finally, ray casting. The time complexity of this approach does not depend on the total number of primitives in the scene. We have measured speedups of up to one oder of magnitude.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 774,
            "image_height": 580,
            "name": "Wimmer-1999-FWIa-image.jpg",
            "type": "image/jpeg",
            "size": 101454,
            "path": "Publication:Wimmer-1999-FWIa",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            402,
            202
        ],
        "booktitle": "Virtual Environments '99. Proceedings of the 5th Eurographics Workshop on Virtual Environments",
        "editor": "Michael Gervautz and Dieter Schmalstieg and Axel Hildebrand",
        "isbn": "3-211-83347-1",
        "lecturer": [
            193
        ],
        "organization": "Eurographics",
        "pages_from": "73",
        "pages_to": "84",
        "publisher": "Springer-Verlag Wien",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 774,
                "image_height": 580,
                "name": "Wimmer-1999-FWIa-image.jpg",
                "type": "image/jpeg",
                "size": 101454,
                "path": "Publication:Wimmer-1999-FWIa",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/Wimmer-1999-FWIa-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "UrbanViz"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wimmer-1999-FWIa/",
        "__class": "Publication"
    },
    {
        "id": "Mastal-1999-RadX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity for Large Vegetation Scenes",
        "date": "1999-06",
        "abstract": "Calculating radiosity solutions for large scenes containing multiple\nplants is all but impossible using the radiosity method in its\noriginal form. With the introduction of sophisticated hierarchical and\nclustering algorithms radiosity for vegetation scenes becomes a\nsolvable challenge. The precomputation of the diffuse light\ndistribution in leaf canopies of forests and other plants can be used\nto calculate realistic images, but also for agricultural planning\npurposes. This state of the art report gives an overview of the\nmethods that can, and have been, used to calculate global illumination\nin vegetation scenes, including  hierarchical methods, statistical\nmethods based on simplifications, and specialized methods that have\nbeen optimized to handle scenes with a dense, non-isotropic\ndistribution of objects such as canopies.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            220,
            216,
            190
        ],
        "number": "TR-186-2-99-17",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "vegetation scenes",
            "natural phenomena",
            "global illumination",
            "radiosity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mastal-1999-RadX-paper.gz",
                "type": "application/octet-stream",
                "size": 522253,
                "path": "Publication:Mastal-1999-RadX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mastal-1999-RadX/Mastal-1999-RadX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mastal-1999-RadX/",
        "__class": "Publication"
    },
    {
        "id": "synworld1999",
        "type_id": "tv",
        "tu_id": null,
        "repositum_id": null,
        "title": "Synworld",
        "date": "1999-05-20",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 192,
            "image_height": 144,
            "name": "synworld1999-image.jpg",
            "type": "image/jpeg",
            "size": 5213,
            "path": "Publication:synworld1999",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "channel": "ORF1",
        "duration": "21:40",
        "program": "Kunststücke",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "High quality 275.2MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "synworld1999-High quality 275.2MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 188751872,
                "path": "Publication:synworld1999",
                "preview_name": "synworld1999-High quality 275.2MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-High quality 275.2MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-High quality 275.2MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-High quality 275.2MB (DivX Codec):video.mp4"
            },
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 192,
                "image_height": 144,
                "name": "synworld1999-image.jpg",
                "type": "image/jpeg",
                "size": 5213,
                "path": "Publication:synworld1999",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "Low quality 28.9MB (DivX Codec)",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "preview_image_width": 48,
                "preview_image_height": 48,
                "name": "synworld1999-Low quality 28.9MB (DivX Codec).avi",
                "type": "video/x-msvideo",
                "size": 30340462,
                "path": "Publication:synworld1999",
                "preview_name": "synworld1999-Low quality 28.9MB (DivX Codec):preview.png",
                "preview_type": "image/png",
                "preview_size": 4476,
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-Low quality 28.9MB (DivX Codec).avi",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-Low quality 28.9MB (DivX Codec):thumb{{size}}.png",
                "video_mp4": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/synworld1999-Low quality 28.9MB (DivX Codec):video.mp4"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/synworld1999/",
        "__class": "Publication"
    },
    {
        "id": "Hes-1999-",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distributed Open Inventor: A Practical Approach to\nDistributed 3D Graphics",
        "date": "1999-05",
        "abstract": "Distributed Open Inventor is an extension to the popular\nOpen Inventor toolkit for interactive 3D graphics. The toolkit is extended\nwith the concept of a distributed shared scene graph, similar to\ndistributed shared memory. From the application programmer's perspective,\nmultiple workstations share a common scene graph. The proposed system\nintroduces a convenient mechanism for writing distributed graphical\napplications based on a popular tool in an almost transparent manner. Local\nvariations in the scene graph allow for a wide range of possible\napplications, and local low latency interaction mechanisms called input\nstreams together with a sophisticated networking architecture enable high\nperformance while saving the programmer from network peculiarities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            205,
            202,
            204,
            190
        ],
        "number": "TR-186-2-99-15",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "computer supported cooperative work",
            "distributed virtual environment",
            "scene graph",
            "concurrent programming",
            "Distributed graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hes-1999--paper.pdf",
                "type": "application/pdf",
                "size": 256074,
                "path": "Publication:Hes-1999-",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hes-1999-/Hes-1999--paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hes-1999-/",
        "__class": "Publication"
    },
    {
        "id": "Fuhr-1999-Cal",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Calibration for Augmented Reality",
        "date": "1999-05",
        "abstract": "Augmented Reality overlays computer generated images over\nthe real world. To correctly depict spatial relations between real and\nvirtual objects, these images have to be generated using transformations\nwhich correctly project a point in virtual space onto its corresponding\npoint in the real world.\nThis requires precise knowledge of the viewing projection of the\nhead-mounted display (HMD) and its position. Methods to calibrate the\nprojection parameters of the virtual cameras to that of the HMD have been\npresented in previous work. Most of these methods are complicated or use\nspecial equipment for the calibration process.\nWe present a simple and fast calibration scheme, which does not require\nadditional instrumentation or complicated procedures. This allows us to\ncalibrate HMDs for specific users. The calibration process is presented to\nthe user as interactively guided initialization step, which enables even\ninexperienced users to adapt the calibration to their eye distance and head\ngeometry.\nThe calibration is stable - meaning that slight errors made by the user do\nnot result in gross miscalibrations - and applicable for see-through and\nvideo-based HMDs. Additionally we show a method for correcting the\ndistortions introduced by the camera lens in real-time using standard\nOpenGL hardware and for registering tracked objects to their augmentations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            202,
            190
        ],
        "number": "TR-186-2-99-16",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "head-mounted displays",
            "tracking",
            "distortion",
            "registration",
            "calibration",
            "Augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhr-1999-Cal-paper.pdf",
                "type": "application/pdf",
                "size": 541648,
                "path": "Publication:Fuhr-1999-Cal",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Cal/Fuhr-1999-Cal-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Cal/",
        "__class": "Publication"
    },
    {
        "id": "Fuhr-1999-Multi",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Surface Rendering of Volumetric Data",
        "date": "1999-05",
        "abstract": "In this paper a new direct volume-rendering method is\npresented for fast display of iso-surfaces. In order\nto reduce the data to be processed, the algorithm\neliminates those voxels which are invisible from a\nspecific domain of viewing directions. The remaining\nsurface points are stored in an appropriate data\nstructure optimized for fast shear-warp projection.\nThe proposed data structure also supports the\napplication of cutting planes in order to visualize\nthe internal part of the volume as well. Unlike many\nother surface-oriented techniques, the presented method\ndoes not trade image quality for speed. It does not\nrequire any specialized hardware either to achieve\ninteractive frame rates, thus it can be widely used in\n                  medical imaging applications even on low end hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            197,
            166
        ],
        "number": "TR-186-2-99-13",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "Medical Imaging.",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhr-1999-Multi-paper.gz",
                "type": "application/octet-stream",
                "size": 1082896,
                "path": "Publication:Fuhr-1999-Multi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Multi/Fuhr-1999-Multi-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Multi/",
        "__class": "Publication"
    },
    {
        "id": "wilkie-1999-ORI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Orientation Lightmaps for Photon Radiosity in Complex Environments",
        "date": "1999-04",
        "abstract": "We present a method that makes the use of photon radiosity methods feasi\nble for complex scenes when a totally accurate solution is not essential. This is accompl\nished by using {\\em orientation lightmaps}, which average the illumination of complex obj\nects depending on the surface normal. Through this averaging, they considerably reduce th\ne variance of the stochastic solution. For the use of these specialised lightmaps, which\nconsume comparatively small amounts of memory, no changes have to be made to the actual p\nhoton tracing algorithm. Also, they can be freely mixed with normal lightmaps and inserte\nd at any point in the scene description graph. This gives the user good control over the\namount of inaccuracy he introduces by their application. The area computations necessary\nfor their insertion are performed using a stochastic sampling method that performs well f\nor highly complex objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            190
        ],
        "number": "TR-186-2-99-11",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "lightmaps",
            "complex scenes",
            "photon radiosity",
            "global illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wilkie-1999-ORI-paper.pdf",
                "type": "application/pdf",
                "size": 629367,
                "path": "Publication:wilkie-1999-ORI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/wilkie-1999-ORI/wilkie-1999-ORI-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/wilkie-1999-ORI/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-Adv",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advanced High-Quality Maximum Intensity Projection for Volume Visualization",
        "date": "1999-04",
        "abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to extract high-intensity structures from volumetric data.\nAt\neach pixel the highest data value encountered along the\ncorresponding viewing ray is determined. MIP is commonly used to\nextract vascular\nstructures from medical MRI data sets (angiography). Due to lack of\ndepth information in MIP images, animation of the viewpoint is\nfrequently used for viewing. Although\ninteractive MIP algorithms exist, the quality of the results is\nmoderate. The generation of high-quality MIP animation loops is\ncomputationally expensive with rendering times of several seconds per\nframe.\nIn this paper we present a fast algorithm for high-quality MIP.\nCells of the data set\nwhich will never contribute to a MIP due to their neighborhood are\nremoved during a preprocessing\nstep. The remaining cells are stored in a way which improves cache\ncoherency\nindependent of the viewing direction and minimizes the number of\nrequired maximum evaluations.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            399,
            166
        ],
        "number": "TR-186-2-99-10",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "angiography",
            "Maximum Intensity Projection",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1999-Adv-paper.gz",
                "type": "application/octet-stream",
                "size": 873394,
                "path": "Publication:Mroz-1999-Adv",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-Adv/Mroz-1999-Adv-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-Adv/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-ReaX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Maximum Intensity Projection",
        "date": "1999-04",
        "abstract": "Maximum Intensity Projection (MIP) is a volume\nrendering technique\nwhich is used to extract high-intensity structures from volumetric data.\nAt\neach pixel the highest data value encountered along the\ncorresponding viewing ray is determined. MIP is commonly used to\nextract vascular\nstructures from medical MRI data sets (angiography). The usual way to\ncompensate for the loss of spatial and occlusion information in MIP\nimages\nis to view the data from different view points by rotating them. As the\ngeneration of MIP is usually non-interactive, this is done by\ncalculating\nmultiple images offline and playing them back as an animation.\n\nIn this paper a new algorithm is proposed which is capable of\ninteractively\ngenerating Maximum Intensity Projection images using parallel\nprojection and templates. Voxels of the data set\nwhich will never contribute to a MIP due to their neighborhood are\nremoved during a preprocessing\nstep. The remaining voxels are stored in a way which guarantees\noptimal cache coherency regardless of the viewing direction. For use\non low-end hardware, a preview-mode is included which renders only\nmore significant parts of the volume during user interaction.\nFurthermore\nwe demonstrate the usability of our data\nstructure for extensions of the MIP technique like MIP with\ndepth-shading and Local Maximum Intensity Projection (LMIP).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            197,
            166
        ],
        "number": "TR-186-2-99-09",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "angiography",
            "Maximum Intensity Projection",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1999-ReaX-paper.gz",
                "type": "application/octet-stream",
                "size": 166639,
                "path": "Publication:Mroz-1999-ReaX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-ReaX/Mroz-1999-ReaX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-ReaX/",
        "__class": "Publication"
    },
    {
        "id": "Hey-1999-Laz",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lazy Occlusion Grid Culling",
        "date": "1999-03",
        "abstract": "THIS TECHNICAL REPORT IS OUTDATED AND HAS BEEN SUPERSEDED BY TR-186-2-01-02.\nWe present Lazy Occlusion Grid Culling, a new image-based occlusion\nculling technique for rendering of very large scenes which can be of\ngeneral type. It is based on a low-resolution grid that is updated in a\nlazy manner and that allows fast decisions if an object is occluded or\nvisible together with a hierarchical scene-representation to cull large\nparts of the scene at once. It is hardware-accelerateable and it works\nefficiently even on systems where pixel-based occlusion testing is\n                implemented in software.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            200,
            216,
            190
        ],
        "number": "TR-186-2-99-12",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "real-time rendering",
            "hardware acceleration",
            "image-based",
            "visibility",
            "occlusion culling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hey-1999-Laz-paper.pdf",
                "type": "application/pdf",
                "size": 103174,
                "path": "Publication:Hey-1999-Laz",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hey-1999-Laz/Hey-1999-Laz-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hey-1999-Laz/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-1999-VirX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "VirEn: A Virtual Endoscopy System",
        "date": "1999-03",
        "abstract": "Virtual endoscopy systems are promising tools for the\nsimplification of daily clinical procedures. In this paper, a\nconceptual framework for a virtual endoscopy system (VirEn) is\nproposed, which is intended to be a highly interactive system.\nResearch efforts have concentrated on the generation of an\noptimal path for the automated navigation of the data set.\nExtensions to existing thinning algorithms used to generate the\noptimal path are presented and discussed. First results produced\nwith VirEn are shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            459,
            197,
            166
        ],
        "number": "TR-186-2-99-06",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Thinning",
            "Navigation",
            "Virtual Endoscopy",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Vilanova-1999-VirX-paper.gz",
                "type": "application/octet-stream",
                "size": 1224958,
                "path": "Publication:Vilanova-1999-VirX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Vilanova-1999-VirX/Vilanova-1999-VirX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Vilanova-1999-VirX/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1999-BSW",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Volume Rotation using Binary Shear-Warp Factorization",
        "date": "1999-03",
        "abstract": "This paper presents a fast volume rotation technique based\non binary shear-warp factorization. Unlike many acceleration\nalgorithms this method does not trade image quality for speed\nand does not require any specialized hardware either. In order\nto skip precisely the empty regions along the rays to be\nevaluated a binary volume is generated indicating the\nlocations of the transparent cells. This mask is rotated by\nan incremental binary shear transformation, executing bitwise\nboolean operations on integers storing the bits of the binary\nvolume. The ray casting is accelerated using the transformed\nmask and an appropriate lookup-table technique for finding\n                  the first non-transparent cell along each ray.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233
        ],
        "number": "TR-186-2-99-07",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Shear-Warp Factorization.",
            "Volume Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-1999-BSW-paper.gz",
                "type": "application/octet-stream",
                "size": 378470,
                "path": "Publication:Csebfalvi-1999-BSW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-BSW/Csebfalvi-1999-BSW-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-BSW/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-1999-MVA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multiple Views and Magic Mirrors - fMRI Visualization of the Human Brain",
        "date": "1999-02",
        "abstract": "Multimodal visualization of functional and anatomical\ndata of the human brain is an important field in  medical volume\nvisualization. The aim of this application is to provide\nthe user with information on the location of functional\nactivations in the different regions of the brain. When the approach of\ndirect volume rendering is chosen, the visual impression of details\nusually suffers from accumulating the image from colors and\nopacities derived from the data set. We present extensions to\novercome this problem: \\emph{Transfer function volumes} are used for\nthe highlighting of activated regions. \\emph{Multiple views",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197,
            212,
            166
        ],
        "number": "TR-186-2-99-08",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "fMRI",
            "Multimodality",
            "Volume Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koenig-1999-MVA-paper.gz",
                "type": "application/octet-stream",
                "size": 2911655,
                "path": "Publication:Koenig-1999-MVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Koenig-1999-MVA/Koenig-1999-MVA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Koenig-1999-MVA/",
        "__class": "Publication"
    },
    {
        "id": "Prikryl-1999-PDTX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perceptually-Driven Termination for Stochastic\n                  Radiosity",
        "date": "1999-01",
        "abstract": "This technical report presents a heuristic\nperceptually-based termination criterion for a\nstochastic radiosity algorithms. The proposed\ncriterion makes it possible to terminate the\niterative radiosity simulation as soon as any\nfurther changes of the radiosity solution are\npredicted not to be noticed by the human\nobserver. We use tone mapping operators and\nperceptually uniform CIE L*u*v* colour space to\narrive at the difference of displayed values. In\norder to decide when to stop the iterations of the\nradiosity method, we evaluate the least squares fit\n                  of a power function to the error distribution data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            199,
            190
        ],
        "number": "TR-186-2-99-01",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "termination prediction",
            "radiosity",
            "human perception"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Prikryl-1999-PDTX-paper.gz",
                "type": "application/octet-stream",
                "size": 283240,
                "path": "Publication:Prikryl-1999-PDTX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-PDTX/Prikryl-1999-PDTX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-PDTX/",
        "__class": "Publication"
    },
    {
        "id": "Fuhr-1999-Conc",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-time Bounding Box Area Computation",
        "date": "1999-01",
        "abstract": "The area covered by a 3D bounding box after projection onto the\nscreen is relevant for view-dependent algorithms in real-time and photorealistic\nrendering. We describe a fast method to compute the accurate 2D area of a 3D\noriented bounding box, and show how it can be computed equally fast or faster\nthan its approximation with a 2D bounding box enclosing the projected 3D\n bounding box.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            216
        ],
        "number": "TR-186-2-99-05",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "view-dependent algorithms applications",
            "level of detail",
            "bounding box area",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhr-1999-Conc-paper.pdf",
                "type": "application/pdf",
                "size": 44357,
                "path": "Publication:Fuhr-1999-Conc",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Conc/Fuhr-1999-Conc-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-Conc/",
        "__class": "Publication"
    },
    {
        "id": "Fuhr-1999-ConcX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Concept and Implementation of a Collaborative Workspace for Augmented Reality",
        "date": "1999-01",
        "abstract": "In this paper we present Studierstube Workspace, an application framework which supports multiple users,\nmultiple applications and multiple 3D and 2D interaction contexts in an augmented environment. We develop\na design concept for collaborative working environments in virtual reality, especially the concept of multi-user\naware applications and show how our implementation fits into this concept. Implementation details and appli-cation\nsamples conclude the paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            202
        ],
        "number": "TR-186-2-99-04",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "multi-user aware applications",
            "Workspace",
            "user interface",
            "augmented reality",
            "virtual reality",
            "computer graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhr-1999-ConcX-paper.pdf",
                "type": "application/pdf",
                "size": 461632,
                "path": "Publication:Fuhr-1999-ConcX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-ConcX/Fuhr-1999-ConcX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhr-1999-ConcX/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1999-MIP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Maximum Intensity Projection using Binary Shear-Warp\nFactorization",
        "date": "1999-01",
        "abstract": "This paper presents a fast maximum intensity projection\ntechnique based on binary shear-warp factorization.  The\nproposed method divides the density domain into a small\nnumber of intervals, and to each interval a binary code\nrepresentation is assigned. In a preprocessing step, an\nadditional volume is created which contains for each voxel\nthe code of the interval enclosing the given voxel density.\nWe present an appropriate data structure for storing this\nvolume and an efficient lookup table technique which can\nbe used to rapidly access a voxel of a certain density code.\nThe volume is efficiently resampled along viewing rays only\nin voxels where the densities reside in the interval which\n                  contains the appropriate maximum value.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233,
            197,
            166
        ],
        "number": "TR-186-2-99-02",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Shear-Warp Factorization.",
            "Volume Rendering",
            "Maximum Intensity Projection"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Csebfalvi-1999-MIP-paper.gz",
                "type": "application/octet-stream",
                "size": 176773,
                "path": "Publication:Csebfalvi-1999-MIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-MIP/Csebfalvi-1999-MIP-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-MIP/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-1998-O2",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occluder Shadows for Fast Walkthroughs of Urban Environments",
        "date": "1999-01",
        "abstract": "This paper describes a new algorithm that employs image based rendering for fast occlusion culling in complex urban environments. It exploits graphics hardware to render and automatically combine a relatively large set of occluders. The algorithm is fast to calculate and therefore also useful for scenes of moderate complexity and walkthroughs with over 20 frames per second. Occlusion is calculated dynamically and does not rely on any visibility precalculation or occluder preselection. Speed-ups of one order of magnitude can be obtained.\r\n ",
        "authors_et_al": false,
        "substitute": "Wonka-1999-Occ",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            202
        ],
        "number": "TR-186-2-99-03",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "occlusion culling",
            "realtime rendering",
            "urban environments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wonka-1998-O2-paper.pdf",
                "type": "application/pdf",
                "size": 227015,
                "path": "Publication:Wonka-1998-O2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wonka-1998-O2/Wonka-1998-O2-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wonka-1998-O2/",
        "__class": "Publication"
    },
    {
        "id": "Vilanova-1999-Vir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "VirEn: A Virtual Endoscopy System.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            459
        ],
        "note": "Journal Machine Graphics & Vision, Vol 8(3), 1999, pp. 469-487.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Vilanova-1999-Vir/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-1999-ASp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Spectral Extension to the Tagged Image File Format.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            192,
            216
        ],
        "note": "Short Communications of The Seventh International Conference in Central Europe on Computer Graphics, Visualisation and Digital Interactive Media '99, University of West Bohemia, Pilsen, Czech Republic, February 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Wilkie-1999-ASp/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1999",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1999",
        "date": "1999",
        "abstract": "Das Bild zeigt die Mitarbeiter des Instituts für Computergraphik unter der Leitung von Prof. Mutzel und Prof. Purgathofer im Hof des neuen Informatik-Gebäudes in Wien.\r\n\r\nThe image shows the members of the Institute of Computer Graphics headed by Prof. Mutzel and Prof. Purgathofer in the court of the new computer science building in Vienna.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1359,
            "image_height": 1400,
            "name": "xmas-1999-image.jpg",
            "type": "image/jpeg",
            "size": 352212,
            "path": "Publication:xmas-1999",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1359,
                "image_height": 1400,
                "name": "xmas-1999-image.jpg",
                "type": "image/jpeg",
                "size": 352212,
                "path": "Publication:xmas-1999",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/xmas-1999-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/xmas-1999/",
        "__class": "Publication"
    },
    {
        "id": "Mastal-1999-Rad",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity Calculations for Rotational Surfaces.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            220
        ],
        "note": "Proceedings of WSCG´99, pp. 186-193, Univ.of Plzen, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mastal-1999-Rad/",
        "__class": "Publication"
    },
    {
        "id": "Mastal-1999-Radi",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity for large Vegetation Scenes.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            220
        ],
        "note": "State of the Art Report, Eurographics´99, Milano, Italy, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mastal-1999-Radi/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-Rea",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real Time Maximum Intensity Projection.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184
        ],
        "note": "Data Visualization'99 - proceedings of the joint Eurographics IEEE TCCG symposium on visualization",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-Rea/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1999-Real",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Maximum Intensity Projection.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            184,
            197
        ],
        "note": "E.Gröller, H. Löffelmann, B. Ribarsky (eds.),  <br>Data Visualization'99, Springer Wien, pp.135-144. Revised version \"Maximum Intensity Projection at Warp Speed\" to be published in the Journal Computers & Graphics, June 2000.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Mroz-1999-Real/",
        "__class": "Publication"
    },
    {
        "id": "Petta-1999-Tow",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards Engaging Full-Body Interaction",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            22,
            23,
            26,
            234,
            249,
            407,
            454
        ],
        "note": "Proceedings of 8th International Conference on Human-Computer Interaction (HCI International'99), August 22-27, Munich, Germany, 1999",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Petta-1999-Tow/",
        "__class": "Publication"
    },
    {
        "id": "Prikryl-1999-Per",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perceptually Driven Termination for Stochastic Radiosity.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            199
        ],
        "note": "Proceedings of WSCG´99, pp. 418-425, Univ.of Plzen, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-Per/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-1999-Gra",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphische Datenverarbeitung.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "note": "IPeter Rechenberg, Gustav Pomberger, Handbuch der Informatik. Carl Hanser Verlag, second edition, pp. 807-854, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Purgathofer-1999-Gra/",
        "__class": "Publication"
    },
    {
        "id": "Hesina-1999-Dis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Distributed Open Inventor: A Practical Approach to Distributed 3D Graphics.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            204,
            205
        ],
        "note": "Proceedings of ACM Virtual Reality Software & Technology '99 (VRST'99), pp. 74-81, London, <br>December 20-22, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Hesina-1999-Dis/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-1999-Mul",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multiple Views and Magic Mirrors - fMRI Visualization of the Human Brain.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            212
        ],
        "note": "Proceedings of Spring Conference on Computer <br>Graphics and its Applications 1999 (SCCG'99), Budmerice, Slovakia, April 28th.-May 1st, 1999, pp. 130-139.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Koenig-1999-Mul/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1999-SMU",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "SMURF a Smart Surface model for advanced visualization techniques",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            175,
            197,
            399
        ],
        "note": "N.M. Thalmann, V. Skala (eds.), <br>Proceedings of WSCG'99, The 7-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'99, February 8 - 12, 1999, Plzen, Czech Republic, Vol. I, pp. 156-164.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Loeffelmann-1999-SMU/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1999-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Projected Area Computation for 3D Bounding Boxes.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            216
        ],
        "note": "Journal of Graphics Tools, Vol. 4., No. 2, pp. 37-43, A. K. Peters, Ltd., 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Schmalstieg-1999-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1999-Sew",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Sewing Virtual Worlds Together With SEAMS: A Mechanism to Construct Complex Virtual Environments.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            41,
            202
        ],
        "note": "PRESENCE - Teleoperators and Virtual Environments, Vol. 8, No. 4, pp. 449-461, MIT Press, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Schmalstieg-1999-Sew/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1999-Too",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tools for interacting with virtual environments.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            375
        ],
        "note": "U.S. patent no. PCT/US99/28390, filed Dec. 7, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Schmalstieg-1999-Too/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1999-Usi",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Transparent Props For Interaction With The Virtual Table.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            234,
            375
        ],
        "note": "Proceedings of SIGGRAPH Symposium on <br>Interactive 3D Graphics '99, Atlanta, GI, April 26-28, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Schmalstieg-1999-Usi/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/13485",
        "title": "The Personal Interaction Panel - a two-handed Interface for Augmented Reality",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234
        ],
        "date_end": "1999-09",
        "date_start": "1996-06",
        "open_access": "yes",
        "pages": "137",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [
            "Virtuelle Realität",
            "Schnittstelle"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 2355241,
                "path": "Publication:Szalavari-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szalavari-thesis/Szalavari-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szalavari-thesis/Szalavari-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szalavari-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1999-Ana",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis of the Quasi-Monte Carlo Integration of the Rendering Equation. ",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            206
        ],
        "note": "Proceedings of WSCG´99, pp. 281-288, Univ.of Plzen, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szirmay-1999-Ana/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1999-Imp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance Driven Quasi-Random Walk Solution of the Rendering Equation.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            206,
            233
        ],
        "note": "Computers&Graphics, No.23(2),  <br>Pergamon Press, New York, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szirmay-1999-Imp/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1999-Ont",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "On the Start-up Bias Problem of Metropolis Sampling.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            18,
            190,
            206
        ],
        "note": "Proceedings of WSCG´99, pp. 273-280, Univ.of Plzen,1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szirmay-1999-Ont/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1999-Qua",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Quasi-Monte Carlo Global Light Tracing with Infinite Number of Rays.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            14,
            190,
            206
        ],
        "note": "Computers&Graphics, No.23(2), <br>Pergamon Press, New York, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Szirmay-1999-Qua/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1999-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Volume Rotation using Binary Shear-Warp Factorization.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233
        ],
        "note": "Joint EUROGRAPHICS-IEEE TCCG Symposium on Visualization, Vienna, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1999-Fast",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Maximum Intensity Projection using Binary Shear-Warp Factorization.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197,
            233
        ],
        "note": "N.M. Thalmann, V. Skala (eds.), <br>Proceedings of WSCG'99, The 7-th International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media'99, February 8 - 12, 1999, Plzen, Czech Republic, Vol. I, pp. 47-54.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-Fast/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1999-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Volume Rotation. ",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206,
            233
        ],
        "note": "Journal Machine Graphics & Vision, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Csebfalvi-1999-Int/",
        "__class": "Publication"
    },
    {
        "id": "Encarnacao-1999-ATr",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Translucent Sketchpad for the Virtual Table Exploring Motion-based Gesture Recognition.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            44,
            45,
            202,
            375
        ],
        "note": "Computer Graphics Forum (Proceedings EUROGRAPHICS'99), pp. 277-286, Milano, Italy, Sept. 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Encarnacao-1999-ATr/",
        "__class": "Publication"
    },
    {
        "id": "Encarnacao-1999-CAD",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "CADesk: The Virtual Table as Future CAD Workspace. ",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            44,
            49,
            202,
            375
        ],
        "note": "Computergraphik Topics, pp. 6-7, Vol. 11., No. <br>4, Fraunhofer Gesellschaft, Darmstadt, Germany, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Encarnacao-1999-CAD/",
        "__class": "Publication"
    },
    {
        "id": "Encarnacao-1999-The",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Virtual Table - A Future CAD Workspace.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            49,
            50,
            202,
            375
        ],
        "note": "Proceedings of Computer Technology Solutions conference (former Autofact), Michigan, Detroit, USA, September 13-19, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Encarnacao-1999-The/",
        "__class": "Publication"
    },
    {
        "id": "Faure-1999-Col",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Animation over the Network.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            34,
            35,
            36,
            37,
            38,
            205,
            230,
            403
        ],
        "note": "IEEE Proceedings of Computer Animation 1999 (CA'99), 26-28 May, Geneva, Switzerland, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Faure-1999-Col/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1999-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Calibration for Augmented Reality.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            202,
            204
        ],
        "note": "Proceedings of ACM Virtual Reality Software & Technology '99 (VRST'99), pp. 166-167, London, December 20-22, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-1999-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1999-Occ",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion in collaborative augmented environments",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            205,
            249,
            403
        ],
        "note": "Proceedings of the 5th EUROGRAPHICS Workshop on Virtual Environments (EGVE 1999), Vienna, June 1-2, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-1999-Occ/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1999-Occl",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion in collaborative augmented environments (extended version). ",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            205,
            249,
            403
        ],
        "note": "Computers & Graphics 23 (1999) pp.809-819, Oxford, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-1999-Occl/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/13483",
        "title": "Studierstube: a Collaborative Virtual Environment for Scientific Visualization",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204
        ],
        "date_end": "1999-09",
        "date_start": "1996-03",
        "open_access": "yes",
        "pages": "149",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhrmann-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 2022752,
                "path": "Publication:Fuhrmann-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-thesis/Fuhrmann-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-thesis/Fuhrmann-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Fuhrmann-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Gervautz-1999-Vir",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Environments '99",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            48,
            202,
            249
        ],
        "note": "Springer Wien-New York, 1999.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Gervautz-1999-Vir/",
        "__class": "Publication"
    },
    {
        "id": "Glaeser-1999-Fas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Generation of Curved Perspectives for Ultra-Wideangle Lenses in VR-Applications.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            420
        ],
        "note": "Visual Computer, Vol 15(7/8), 1999, pp. 365-376.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Glaeser-1999-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1999-Dat",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data Visualization '99",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            287,
            399
        ],
        "note": "Springer 1999",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Groeller-1999-Dat/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1999-Vis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Dynamical Systems.",
        "date": "1999",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            399
        ],
        "note": "F.Post, D. Silver (eds.) Journal Future Generation Computer Systems, Elsevier, Vol. 15(1), February 1999, pp.75-86.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1999/Groeller-1999-Vis/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1998-Occ",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Occlusion in Collaborative Augmented Environments",
        "date": "1998-12",
        "abstract": "Augmented environments superimpose computer enhancements on the real world. Such augmented environments are well suited for collaboration of multiple users. To improve the quality and consistency of the augmentation the occlusion of real objects by computer-generated objects and vice versa has to be implemented. We present methods how this can be done for a tracked user's body and other real objects and how irritating artifacts due to misalignments can be reduced. Our method is based on simulating the occlusion of virtual objects by a representation of the user modeled as kinematic chains of articulated solids. Registration and modeling errors of this model are being reduced by smoothing the border between virtual world and occluding real object. An implementation in our augmented environment and the resulting improvements are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            205,
            403,
            249
        ],
        "number": "TR-186-2-98-29",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "occlusion",
            "augmented reality",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhrmann-1998-Occ-paper.pdf",
                "type": "application/pdf",
                "size": 169363,
                "path": "Publication:Fuhrmann-1998-Occ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-Occ/Fuhrmann-1998-Occ-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-Occ/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1998-Fas",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Walkthroughs with Image Caches and Ray Casting",
        "date": "1998-12",
        "abstract": "We present an output-sensitive rendering algorithm for accelerating walkthroughs of large, densely occluded virtual environments using a multi-stage Image Based Rendering Pipeline. In the first stage, objects within a certain distance are rendered using the traditional graphics pipeline, whereas the remaining scene is rendered by a pixel based approach using an Image Cache, horizon estimation to avoid calculating sky pixels, and finally, ray casting. The time complexity of this approach does not depend on the total number of primitives in the scene. We have measured speedups of up to one order of magnitude.",
        "authors_et_al": false,
        "substitute": "Wimmer-1999-FWIa",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            402,
            202
        ],
        "number": "TR-186-2-98-30",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "ray casting",
            "walkthrough",
            "horizon tracing",
            "real-time display",
            "panoramic images",
            "image-based rendering",
            "visibility",
            "virtual environment"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-1998-Fas-paper.pdf",
                "type": "application/pdf",
                "size": 2716414,
                "path": "Publication:Wimmer-1998-Fas",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wimmer-1998-Fas/Wimmer-1998-Fas-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wimmer-1998-Fas/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1998-SMO",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Load Balancing for Smooth LODs",
        "date": "1998-12",
        "abstract": "The paper shows how to derive an analytic formula for the following problem: given a set of objects in a continuous level of detail representation, and given a total number of polygons to display, determine the number of polygons to use for each object so that the best overall appearance is achieved. This improves on the situation of discrete levels of detail, where the problem has been shown to be equivalent to a constrained knapsack-problem.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            202
        ],
        "number": "TR-186-2-98-31",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "smooth LODs",
            "level of detail",
            "load balancing",
            "virtual environments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wimmer-1998-SMO-paper.pdf",
                "type": "application/pdf",
                "size": 209382,
                "path": "Publication:Wimmer-1998-SMO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wimmer-1998-SMO/Wimmer-1998-SMO-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wimmer-1998-SMO/Wimmer-1998-SMO-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wimmer-1998-SMO/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-1998-Ase",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Spectral Extension to the Tag Image File Format",
        "date": "1998-10",
        "abstract": "We propose a simple, consistent and yet powerful extension to the Tagged Image File Format (commonly referred to as TIFF) that enables the user to store spectral image data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            190
        ],
        "number": "TR-186-2-98-28",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "image file format",
            "spectral rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wilkie-1998-Ase-paper.gz",
                "type": "application/octet-stream",
                "size": 59429,
                "path": "Publication:Wilkie-1998-Ase",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wilkie-1998-Ase/Wilkie-1998-Ase-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wilkie-1998-Ase/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-SMURF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smurf -- a Smart surface model\n\tfor advanced visualization techniques",
        "date": "1998-10",
        "abstract": "Highly elaborated visualization techniques that are based on surfaces often are independent from the origin of the surface data.  For re-using advanced visualization methods for surfaces of various kind, we developed an abstract surface interrogation layer called Smurf.  In this paper we discuss the steps necessary to unify multiple types of surfaces under a shared general purpose interface.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            175,
            197,
            166
        ],
        "number": "TR-186-2-98-26",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "surfaces",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1998-SMURF-paper.gz",
                "type": "application/octet-stream",
                "size": 1299140,
                "path": "Publication:Loeffelmann-1998-SMURF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-SMURF/Loeffelmann-1998-SMURF-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-SMURF/",
        "__class": "Publication"
    },
    {
        "id": "Mastal-1998-Rad",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity--Calculations for Rotational Surfaces",
        "date": "1998-10",
        "abstract": "Rotational Surfaces are very important for photorealistic representations of plants and other natural phenomena. In this paper radiosity calculations for rotational surfaces are presented that handle surfaces as whole objects rather than approximating them by large numbers of plane patches. Mathematical expressions are given for the radiance of cylinders, cones and spheres that are ideal Lambertian reflectors.   Although there exists no complete radiosity algorithm which uses the formulae for cylinders, cones and spheres at the moment, it can be estimated that the number of objects of a global illumination scene as well as the number of interactions could be reduced dramatically. Therefore it should be possible to render more complex scenes with plants, like forests, in reasonable time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            220,
            216,
            190
        ],
        "number": "TR-186-2-98-27",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "natural phenomena",
            "rotational surfaces",
            "radiosity"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mastal-1998-Rad-paper.gz",
                "type": "application/octet-stream",
                "size": 67131,
                "path": "Publication:Mastal-1998-Rad",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mastal-1998-Rad/Mastal-1998-Rad-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mastal-1998-Rad/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1998-Usi",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Transparent Props for Interaction with the Virtual\nTable",
        "date": "1998-10",
        "abstract": "The Virtual Table presents stereoscopic graphics to a user\nin a workbench-like setting. This paper reports on a user interface and new\ninteraction techniques for the Virtual Table based on transparent props?a\ntracked hand-held pen and a pad. These props, but in particular the pad,\nare augmented with 3D graphics from the Virtual Table?s display. This\nconfiguration creates a very powerful and flexible interface for two-handed\ninteraction that can be applied to other back-projected stereographic\ndisplays as well: the pad can serve as a palette for tools and controls as\nwell as a window-like see-through interface, a plane-shaped and\nthrough-the-plane tool, supporting a variety of new interaction techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            375,
            234
        ],
        "number": "TR-186-2-98-25",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "magic lenses",
            "window tools",
            "transparent props",
            "two-handed interaction",
            "augmented reality",
            "virtual reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1998-Usi-paper.pdf",
                "type": "application/pdf",
                "size": 479921,
                "path": "Publication:Schmalstieg-1998-Usi",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Schmalstieg-1998-Usi/Schmalstieg-1998-Usi-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Schmalstieg-1998-Usi/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-DPO",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Designing a Parallel Object Oriented Graphics Framework",
        "date": "1998-09",
        "abstract": "This paper aims to present a design strategy for\ngraphics frameworks, that facilitates easy parallelization.  This is\nachieved by introducing two mechanisms for dealing with the main\nissues of parallelization, that can be seamlessly integrated into\ngraphics frameworks which have been designed adhering to a few\nimplementation rules.  These two main mechanisms are Remote\nAccess Nodes, that mainly deal with memory distribution and memory\naccess, and Parallelizing Group Nodes, that deal with task\ngeneration and load balancing.  These objects are designed to fit into\nobject oriented, scene--graph based frameworks, which can be used as\na basis for most graphics based algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "number": "TR-186-2-98-34",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Object-Oriented Design",
            "Parallelization",
            "Graphics Framework"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1998-DPO-paper.gz",
                "type": "application/octet-stream",
                "size": 66801,
                "path": "Publication:Tobler-1998-DPO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-DPO/Tobler-1998-DPO-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-DPO/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-QMC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": " Analysis of the Quasi-Monte Carlo Integration of the Rendering Equation",
        "date": "1998-08",
        "abstract": "Quasi-Monte Carlo integration is said to be better than\nMonte-Carlo integration since its error bound can be in the\norder of $O(N^{-(1-\\epsilon)})$ instead of the $O(N^{-0.5})$\nprobabilistic bound of classical Monte-Carlo integration if the\nintegrand has finite variation. However, since in computer graphics\nthe integrand of the rendering equation is usually discontinous\nand thus has infinite variation, the superiority of quasi-Monte\nCarlo integration has not been theoretically justified. This\npaper examines the integration of discontinuous functions using\nboth theoretical arguments and simulations and explains what\nkind of improvements can be expected from the quasi-Monte Carlo\ntechniques in computer graphics.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206,
            190
        ],
        "number": "TR-186-2-98-24",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Hardy-Krause vari ation",
            "quasi-Monte Carlo quadrature",
            "Rendering equation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-QMC-paper.gz",
                "type": "application/octet-stream",
                "size": 70135,
                "path": "Publication:Szir-1998-QMC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-QMC/Szir-1998-QMC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-QMC/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-STAR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stochastic Methods in Global Illumination - State of the Art Report",
        "date": "1998-08",
        "abstract": "This paper presents a state of the art report of those global illum\nination\nalgorithms which involve Monte-Carlo or quasi-Monte Carlo techniques.\nFirst it surveys the basic tasks of global illumination, which\ncan be formulated as the solution of either the rendering or the\npotential equation, then reviews the basic solution techniques,\nincluding inversion, expansion and iteration. The paper\nexplains why stochastic approaches are good to solve these\nintegral equations and highlights what kind of fundamental\nchoices we have when designing such an algorithm. It\ncompares, for example,\nfinite-element and continuous methods, pure Monte-Carlo and\nquasi-Monte Carlo techniques, different versions of importance sampling,\nRussian roulette, local and global visibility algorithms, etc.\nThen, a lot of methods are reviewed in a unified framework,\nthat also allows to make comparisons.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206
        ],
        "number": "TR-186-2-98-23",
        "pages_from": "1",
        "pages_to": "29",
        "research_areas": [],
        "keywords": [
            "error and complexity",
            "first-shot",
            "transillumination method",
            "stochastic ray-radiosity",
            "global ray-bundle tracing",
            "instant radiosity",
            "photon-map",
            "bi-directional path tracing",
            "light tracing",
            "photon tracing",
            "path tracing",
            "distributed ray-tracing",
            "Metropolis sampling",
            "stochastic iteration",
            "shooting and gathering random walks",
            "Russian roulette",
            "importance sampling",
            "radiosity",
            "finite-element techniques",
            "Monte-Carlo and quasi-Monte Carlo quadra",
            "potential equation",
            "Rendering equation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-STAR-paper.gz",
                "type": "application/octet-stream",
                "size": 213405,
                "path": "Publication:Szir-1998-STAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-STAR/Szir-1998-STAR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-STAR/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-Stoch",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stochastic Iteration for Non-diffuse Global Illumination",
        "date": "1998-08",
        "abstract": "This paper presents a single-pass, view-dependent method to solve t\nhe\nrendering equation, using a stochastic iterational scheme where\nthe transport operator is selected randomly in each iteration.\nThe requirements of convergence are given for the general case.\nTo demonstrate the basic idea, a very simple, continuous\nrandom transport\noperator is examined, which gives back the light tracing\nalgorithm incorporating Russian roulette.\nThen, a new mixed continuous and finite-element based\niteration method is proposed, which uses\nray-bundles to transfer the radiance in single random direction.\nThe resulting algorithm is fast, it provides initial results in seconds\nand accurate solutions in minutes and\ndoes not suffer from the error accumulation problem and\nthe high memory demand of other\nfinite-element and hierarchical approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206
        ],
        "number": "TR-186-2-98-21",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "global ray-bundle tracing",
            "light-tracing",
            "Monte-Carlo Carlo integration",
            "global radiance",
            "Rendering equation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-Stoch-paper.gz",
                "type": "application/octet-stream",
                "size": 3946749,
                "path": "Publication:Szir-1998-Stoch",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Stoch/Szir-1998-Stoch-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Stoch/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-Glo",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global Ray-bundle Tracing",
        "date": "1998-07",
        "abstract": "The paper presents a single-pass, view-dependent method to solve th\ne general\nrendering equation, using a combined finite element and random\nwalk approach. Applying finite element techniques, the\nsurfaces are decomposed into planar patches on which the\nradiance is assumed to be combined from finite number of unknown\ndirectional radiance functions by predefined positional basis functions.\nThe directional radiance functions are then computed by\nrandom walk or by stochastic iteration using bundles of parallel rays.\nTo compute the radiance transfer in a single direction,\nseveral global visibility methods are considered, including\nthe global versions of the painter's, z-buffer, Weiler-Atherton's\nand planar graph based algorithms.\nThe method requires\nno preprocessing except for handling point lightsources, for\nwhich a first-shot technique is proposed.\nThe new method is particularly\nefficient for scenes including not very specular materials\nilluminated by large area lightsources or sky-light.\nIn order to increase the speed for difficult lighting situations,\nwalks can be selected\naccording to their importance. The importance can be explored adaptively\nby the Metropolis and VEGAS sampling techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206
        ],
        "number": "TR-186-2-98-18",
        "pages_from": "1",
        "pages_to": "28",
        "research_areas": [],
        "keywords": [
            "z-buffer",
            "Metropolis method",
            "importance sampling",
            "stochastic iteration",
            "Monte-Carlo and quasi-Monte Carlo integr",
            "global radiance",
            "Rendering equation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-Glo-paper.gz",
                "type": "application/octet-stream",
                "size": 4977218,
                "path": "Publication:Szir-1998-Glo",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Glo/Szir-1998-Glo-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Glo/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-Obj",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Object-Oriented Framework and Methodology to Process Visualisation\nSystem Development",
        "date": "1998-07",
        "abstract": "In this paper a process visualisation development system and its\nassociated development methodology are presented.\nThis methodology is optimised to systems that\nhave complex structure and are built of large number of components\nbelonging to relatively small number of types.\nIn order to handle the complexity, the input requirements of the method\nis as close to the \"native language\" of the application as possible.\nThe elements of the \"native language\" are assumed to include\nengineering drawings and manuals describing the operation of\ncomponent types the system is built of. Graphics techniques are\nused to supply the engineering drawings into the development\nsystem while not only the required visual appearance is described\nbut the structure of the underlying system is also defined.\nThe elements of engineering drawings are dynamized to animate\nthe graphics presentation to reflect the current state\nof the monitored system. Component manuals are transformed to interface\nand state definitions from which a code generator generates a C++ class\nfor each component type. This C++ class must be tuned to reflect\nthe operation of a single component type.\n>From these definitions the development system automatically builds up\nthe complete visualisation program, providing easy and fast\napplication development.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            206
        ],
        "number": "TR-186-2-98-19",
        "pages_from": "1",
        "pages_to": "25",
        "research_areas": [],
        "keywords": [
            "model-view-controller paradigm",
            "object-oriented design",
            "process visualisation development system"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-Obj-paper.gz",
                "type": "application/octet-stream",
                "size": 305611,
                "path": "Publication:Szir-1998-Obj",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Obj/Szir-1998-Obj-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Obj/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-Pump",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis and Pumping of the Albedo Function",
        "date": "1998-07",
        "abstract": "The paper\nintroduces a method, called the albedo pumping-up, to derive\nnew, physically plausible BRDFs from an existing\none or from any symmetric function.\nThis operation can be applied recursively\nby arbitrary number of times. An important application\nof this operation is the transformation of the Phong and\nBlinn models in order to make them produce\nmetallic effects.\nThe paper also examines the albedo function\nof reflectance models and comes to the conclusion\nthat widely used models violate\nenergy balance at grazing angles.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            232,
            206
        ],
        "number": "TR-186-2-98-20",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "perceptual based fitting",
            "metal models",
            "energy balance",
            "albedo function",
            "BRDF representation",
            "Reflectance function"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-Pump-paper.gz",
                "type": "application/octet-stream",
                "size": 530217,
                "path": "Publication:Szir-1998-Pump",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Pump/Szir-1998-Pump-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Pump/",
        "__class": "Publication"
    },
    {
        "id": "Szir-1998-Ref",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "New Simple Reflectance Models for Metals and other Specular Materia\nls",
        "date": "1998-07",
        "abstract": "The paper presents new, simple and physically\nplausible, but not physically based reflectance models for\nmetals and other specular materials. The\nmost important member of this family is the modification\nof the Phong model, which can eliminate its\nnon-metallic characteristics. The new model gives back the\nideal mirror in\nthe limit case, is easier to compute than other known models\nand is particularly suitable for importance sampling to\nefficiently generate reflected directions\nin Monte-Carlo ray-tracing algorithms.\nDue to its simplicity, the new\nmodel can become an integral part of commercial CAD systems to\ndescribe the specular part or metallic behavior.\nThe paper also examines the energy balance of the previously\nknown and the newly proposed BRDFs concentrating on the behavior\nat grazing angles, and comes to the conclusion that the Ward and\nthe Cook-Torrance models cannot guarantee energy balance and thus\nare not physically plausible. Finally, the generated images\ndemonstrate how the metallic impression can be provided by the\nnew models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            232,
            206
        ],
        "number": "TR-186-2-98-17",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "importance sampling",
            "albedo function",
            "BRDF representation",
            "Reflectance function"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szir-1998-Ref-paper.gz",
                "type": "application/octet-stream",
                "size": 2964360,
                "path": "Publication:Szir-1998-Ref",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Ref/Szir-1998-Ref-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szir-1998-Ref/",
        "__class": "Publication"
    },
    {
        "id": "Berger-1998-Col",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color-Table Animation of Fast Oriented Line Integral\nConvolution\n  \t\t\t\t for Vector Field Visualization",
        "date": "1998-07",
        "abstract": "Fast Oriented Line Integral Convolution (FROLIC), which is\na variant\nof LIC, illustrates 2D vector fields by approximating a\nstreamlet by\na set of disks with varying intensity. FROLIC does not only\nshow the\ndirection of the flow but also its orientation.\nThis paper presents color-table animation of FROLIC images.\nVarious\ncolor-table compositions are discussed in detail. When\nanimating\nFROLIC images visual artifacts (pulsation, synchronization)\nmust be\navoided. Several strategies in this respect are dealt with.\nColor-table animation of FROLIC has been implemented as\nVisual C++\napplication for Windows NT, whereby the calculation of the\ndynamical\nsystem is performed with Mathematica. This allows\nresearchers from\nvarious disciplines to conveniently explore and investigate\n  \t\tanalytically defined 2D and 3D vector fields.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            405,
            166
        ],
        "number": "TR-186-2-98-22",
        "pages_from": "1",
        "pages_to": "19",
        "research_areas": [],
        "keywords": [
            "color-table animation",
            "Line Integral Convolution",
            "FROLIC"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Berger-1998-Col-paper.pdf",
                "type": "application/pdf",
                "size": 765400,
                "path": "Publication:Berger-1998-Col",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Berger-1998-Col/Berger-1998-Col-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Berger-1998-Col/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-FFA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A new Form Factor Analogy and its Application to\nStochastic Global Illumination Algorithms",
        "date": "1998-06",
        "abstract": "A new form factor analogy, that has been derived\nfrom results of integral geometry, is introduced.  The new analogy is\nshown to be useful for stochastic evaluation of the local form of the\nrendering equation used in various Monte Carlo methods for calculating\nglobal illumination.  It makes it possible to improve importance\nsampling in these methods, thereby speeding up convergence.  A new\nclass of bidirectional reflection distribution functions that directly\nbenefits from the analogy and permits exact evaluation and\ncalculation of correctly distributed vectors for Monte Carlo\nintegration is presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            177,
            207,
            190
        ],
        "number": "TR-186-2-98-33",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Sampling",
            "BRDF",
            "Global Illumination"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1998-FFA-paper.gz",
                "type": "application/octet-stream",
                "size": 304660,
                "path": "Publication:Tobler-1998-FFA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-FFA/Tobler-1998-FFA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-FFA/",
        "__class": "Publication"
    },
    {
        "id": "fuhrmann-1998-reaX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-TimeTechniques for 3D Flow Visualization",
        "date": "1998-05",
        "abstract": "Visualization of three dimensional flow has to overcome a lot of problems to be effective. Among them are occlusion of distant details, lack of directional and depth hints and cluttering. In this paper we present methods which address these problems for realtime graphic representations applicable in virtual environments. We use animated, opacity-mapped streamlines as visualization icon for 3D flow visualization. We present a texture mapping technique to keep the level of texture detail along a streamline nearly constant even when the velocity of the flow varies considerably. An algorithm is described which distributes the dashtubes evenly in space. We apply magic lenses and magic boxes as interaction techniques for investigating densly filled areas without overwhelming the observer with visual detail. Implementation details of these methods and their integration in our virtual environment conclude the paper.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            166
        ],
        "number": "TR-186-2-98-16",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "focussing",
            "virtual reality",
            "texture techniques",
            "flow visualization",
            "realtime"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuhrmann-1998-reaX-paper.pdf",
                "type": "application/pdf",
                "size": 343680,
                "path": "Publication:fuhrmann-1998-reaX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/fuhrmann-1998-reaX/fuhrmann-1998-reaX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/fuhrmann-1998-reaX/",
        "__class": "Publication"
    },
    {
        "id": "Hesina-1998-ANEX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Network Architecture for Remote Rendering",
        "date": "1998-04",
        "abstract": "Internet-based virtual environments (VEs) let users explore\nmultiple virtual\nworlds with many different geometric models which are downloaded rather than\npre-distributed. To avoid long download times, we have developed a method that\noptimally utilizes network bandwidth by downloading only the exact portion of\ngeometry that is necessary for rendering. The solution is based on progressive\ngeometry data structures (smooth levels of detail) and selective download.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            205,
            202
        ],
        "number": "TR-186-2-98-02",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [],
        "keywords": [
            "distributed virtual environments",
            "smooth levels of details",
            "remote rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Hesina-1998-ANEX-paper.pdf",
                "type": "application/pdf",
                "size": 133635,
                "path": "Publication:Hesina-1998-ANEX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Hesina-1998-ANEX/Hesina-1998-ANEX-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Hesina-1998-ANEX/",
        "__class": "Publication"
    },
    {
        "id": "Mantler-1998-DynX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Load Balancing in Distributed Virtual Environments",
        "date": "1998-04",
        "abstract": "This paper introduces a new approach for improving the scalability of distributed virtual environments by using a combination of visibility culling for communication and dynamic load balancing to keep the system load evenly distributed. Further communication optimizations as well as some preliminary results are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            407,
            202
        ],
        "number": "TR-186-2-98-13",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "Collaboration",
            "Load Balancing Distributed System",
            "Network",
            "Virtual Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mantler-1998-DynX-paper.gz",
                "type": "application/octet-stream",
                "size": 37588,
                "path": "Publication:Mantler-1998-DynX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mantler-1998-DynX/Mantler-1998-DynX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mantler-1998-DynX/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1998-Bri",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Bringing Your Visualization Application to the Internet",
        "date": "1998-04",
        "abstract": "The Internet has a growing importance as a medium for\npresenting\nvisualization and offering visualization tools. Due to strong\nvariations in the quality of avaliable resources it is extremely\ndifficult to design visualization systems including the Internet, which\nare capable of interactively\nvisualizing user data. In this paper we identify requirements for\na distributed visualization system to interactively visualize user data.\nAs a possible solution to the identified problems we\npresent a model for a visualization pipeline capable of fulfilling these\nrequirements. Finally a proof-of-concept implementation of our ideas\ninto Net Phase Plane, a visualization tool for dynamical systems, is\ndiscussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            399,
            166
        ],
        "number": "TR-186-2-98-14",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "interactivity",
            "visualization over the internet"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1998-Bri-paper.gz",
                "type": "application/octet-stream",
                "size": 46564,
                "path": "Publication:Mroz-1998-Bri",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mroz-1998-Bri/Mroz-1998-Bri-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mroz-1998-Bri/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1998-SelX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Selected Trends in Scientific Visualization",
        "date": "1998-04",
        "abstract": "Visualization became an important branch of scientific\nresearch during the past decade.  Some topics of visualization, e.g., flow\nvisualization and volume visualization, already\nprovide lots of high-quality solutions to the most important\nproblems.  Others such as information visualization, are rather\nyoung disciplines which continuously provide lots of new\nadvances.  One such topic is the visualization over the Internet.\nQuite a number of approaches emerged during the last two years\nwhich facilitate this idea and embed the World Wide Web into the\nvisualization process.  Another trend in visualization is\ncollaborative visualization within an augmented reality setup.\nUsers exploit real 3D interaction and augmented\nreality to combine\ncommunication and investigation during research or education.\nThirdly, the visualization of multi-dimensional and multi-modal\ndata is a rather hot challenge to current scientific research.\nCoping with the restriction of just a few dimensions for\nrepresenting visualization results is a big open problem in\nvisualization and currently subject to eager research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            184,
            399,
            166
        ],
        "number": "TR-186-2-98-15",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "augmented reality,information visualizat",
            "web technologies",
            "Visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mroz-1998-SelX-paper.gz",
                "type": "application/octet-stream",
                "size": 1274065,
                "path": "Publication:Mroz-1998-SelX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mroz-1998-SelX/Mroz-1998-SelX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mroz-1998-SelX/",
        "__class": "Publication"
    },
    {
        "id": "Castro-1998-TFS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transfer Function Specification for the Visualization of\n                       Medical Data",
        "date": "1998-03",
        "abstract": "The application of transfer functions to map data\nvalues to visual properties as, e.g., color and opacity, is\na crucial step in direct volume rendering.  Due to the\ncomplex relationship between the transfer function and the\nresulting image it is usually extremely difficult to model\nan appropriate mapping.  In this paper we present an\nadvanced transfer function specification scheme for the\nvisualization of medical data.  The concept of metadata is\nused to make the modeling of transfer functions more\nintuitive.  A small number of parameters is sufficient to\ncompletely describe a transfer function, thus this\nspecification scheme is suitable for (semi-)automated search\n        techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            408,
            197,
            399,
            166
        ],
        "number": "TR-186-2-98-12",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "volume rendering",
            "multi-modal and multi-dimensional data v",
            "visualization systems",
            "visualization of medical data"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Castro-1998-TFS-paper.gz",
                "type": "application/octet-stream",
                "size": 1213209,
                "path": "Publication:Castro-1998-TFS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Castro-1998-TFS/Castro-1998-TFS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Castro-1998-TFS/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-VDS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Dynamical Systems near Critical Points",
        "date": "1998-03",
        "abstract": "In this paper we present two visualization techniques.\nOne uses the topological structure of the dynamical system near\ncritical points to build an abstract description of the flow.\nThe other places bunches of streamlets around the critical\npoints to visualize the flow characteristics locally.\nCombining both methods a powerful visualization technique is\npresent, since both the topological information as well as\n  intuitive visual cues are provided.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            212,
            166
        ],
        "number": "TR-186-2-98-09",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems",
            "critical points",
            "vector field topology"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1998-VDS-paper.gz",
                "type": "application/octet-stream",
                "size": 790794,
                "path": "Publication:Loeffelmann-1998-VDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-VDS/Loeffelmann-1998-VDS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-VDS/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1998-TunVis",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "TunVis: Visualizing specific geologic features for\ntunnel planning and construction",
        "date": "1998-02",
        "abstract": "This paper describes a method and a system for visualizing a\nvirtual tunnel through an existing geologic formation and a\nmethod for the generation of a camera animation along the tunnel\naxis. The tunnel is built from geologic data coming from vertical\nsample drills from the mountain top along the selected tunnel axis.\nIts wire frame model is then edited by a geologist and image\ninformation of the rock appearance is textured onto the tunnel\nwall, resulting in a photorealistic representation of the expected\ngeologic rock formations. Finally a camera animation and video\noptions are defined to render a video sequence of the camera\n                 movement.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            412,
            165,
            166
        ],
        "number": "TR-186-2-98-08",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "visualization",
            "geologic features",
            "tunnel planning"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1998-TunVis-paper.pdf",
                "type": "application/pdf",
                "size": 463507,
                "path": "Publication:Groeller-1998-TunVis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-TunVis/Groeller-1998-TunVis-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-TunVis/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1998-VAD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Analytically Defined Dynamical\nSystems",
        "date": "1998-02",
        "abstract": "The visualization of analytically defined dynamical systems is\nimportant for a thorough understanding of the underlying system\nbehavior. An overview of theoretical concepts concerning\nanalytically defined dynamical systems is given.  Various\nvisualization techniques for dynamical systems are discussed.\nThree current research directions concerning the visualization of\ndynamical systems are treated in more detail. These are: texture\nbased techniques, visualization of high-dimensional dynamical\n                 systems, and advanced streamsurface representations. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            399,
            165
        ],
        "number": "TR-186-2-98-06",
        "pages_from": "1",
        "pages_to": "31",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1998-VAD-paper.pdf",
                "type": "application/pdf",
                "size": 2696574,
                "path": "Publication:Groeller-1998-VAD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-VAD/Groeller-1998-VAD-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-VAD/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1998-VDS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Dynamical Systems",
        "date": "1998-02",
        "abstract": "The visualization of analytically defined dynamical systems is\nimportant for a thorough understanding of the underlying system\nbehavior. An introduction to analytically defined dynamical\nsystems is given. Various visualization techniques for dynamical\nsystems are discussed. Several current research directions\nconcerning the visualization of dynamical systems are treated in\nmore detail. These are: texture based techniques, visualization\nof high-dimensional dynamical systems, advanced streamsurface\nrepresentations, local analysis - Poincare' sections,\n                 visualizing econometric models.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            399,
            165
        ],
        "number": "TR-186-2-98-07",
        "pages_from": "1",
        "pages_to": "18",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1998-VDS-paper.pdf",
                "type": "application/pdf",
                "size": 3922828,
                "path": "Publication:Groeller-1998-VDS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-VDS/Groeller-1998-VDS-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Groeller-1998-VDS/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1998-CVA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Visualization in Augmented Reality",
        "date": "1998-01",
        "abstract": "STUDIERSTUBE is an augmented reality system that has\nseveral advantages over conventional desktop and other virtual\nreality environments, including true stereoscopy, 3D-interaction,\nindividual viewpoints and customized views for multiple users,\nunhindered natural collaboration and low cost. We demonstrate the\napplication of this concept for the interaction of multiple  users\nand illustrate it with several visualizations of dynamical systems\nin DynSys3D, a visualization system running on top of AVS. We also\nshow how the integration of AR into a commercial visualization\nsystem can be achieved. Several examples constructed in DynSys3D -\ndeveloped for the visualization of complex dynamical systems in\nAVS - will complement the presentation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            249,
            399,
            202
        ],
        "number": "TR-186-2-98-01",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Visualization",
            "Augmented Reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fuhrmann-1998-CVA-paper.pdf",
                "type": "application/pdf",
                "size": 637112,
                "path": "Publication:Fuhrmann-1998-CVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-CVA/Fuhrmann-1998-CVA-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-CVA/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-1998-NC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real Time Simulation and Visualization of NC Milling\nProcesses for Inhomogeneous Materials on Low-End Graphics Hardware",
        "date": "1998-01",
        "abstract": "Simulation and visualization of NC milling processes\nhas become an\nimportant step in computer aided manufacturing. The usage of stock\nmaterials with specific locally varying properties (like density,\naccuracy, color, ...) becomes more and more important with new\ntechnologies emerging in the material industry.  Our new approach,\nusing volumetric representation, has been adapted to this needs and\ncopes with inhomogeneous material properties. Taking color as one\npossible material property, our approach enables the visualization\nof milled wood or compound materials.\nFurthermore, our approach has been developed with the usage of\nlow-end graphics hardware in mind. The algorithms have been\noptimized to ensure interactive update rates even on standard\npersonal computers without hardware graphics acceleration.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            197,
            166
        ],
        "number": "TR-186-2-98-04",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "visualization",
            "NC milling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Koenig-1998-NC-paper.gz",
                "type": "application/octet-stream",
                "size": 2275863,
                "path": "Publication:Koenig-1998-NC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Koenig-1998-NC/Koenig-1998-NC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Koenig-1998-NC/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1998-IDD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interleaved Dimension Decomposition",
        "date": "1998-01",
        "abstract": "Wavelets in 2D or higher dimensions are often\ngenerated by a decomposition scheme from 1D wavelets. There are two\ndecomposition schemes called the standard and the nonstandard\ndecomposition which are used in most applications of higher\ndimensional wavelets. This paper introduces a new decomposition\nmethod, the interleaved dimension decomposition and compares its\nadvantages and disadvantages with the other decompositions. Based\non the properties of the interleaved dimension decomposition,\napplications to computer graphics are sketched including\nmultiresolution painting, morphing in 2D and 3D, and image\ncompression.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413,
            190
        ],
        "number": "TR-186-2-98-03",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "Wavelets",
            "morphing",
            "multiresolution painting",
            "image compression"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kopp-1998-IDD-paper.pdf",
                "type": "application/pdf",
                "size": 202245,
                "path": "Publication:Kopp-1998-IDD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Kopp-1998-IDD/Kopp-1998-IDD-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Kopp-1998-IDD/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-EVC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing the Visualization of Characteristic Structures\n\t        in Dynamical Systems",
        "date": "1998-01",
        "abstract": "We present a thread of streamlets as a new\ntechnique to visualize\ndynamical systems in three-space.  A trade-off is made between\nsolely visualizing a mathematical abstraction through\nlower-dimensional manifolds, i.e., characteristic structures such\nas fixed point, separatrices, etc., and directly encoding\nthe flow through stream lines or stream surfaces.  Bundlers of\nstreamlets are\nselectively placed near characteristic trajectories.\nAn over-population of phase space with occlusion problems as a\nconsequence is omitted.  On the other hand, information loss\nis minimized since characteristic structures of the flow are still\n    illustrated in the visualization.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166
        ],
        "number": "TR-186-2-98-05",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1998-EVC-paper.gz",
                "type": "application/octet-stream",
                "size": 1398615,
                "path": "Publication:Loeffelmann-1998-EVC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-EVC/Loeffelmann-1998-EVC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-EVC/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1998-CGAR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Gaming in Augmented Reality",
        "date": "1998-01",
        "abstract": "We introduce a local collaborative environment for gaming.\nIn our setup multiple users can interact with the virtual game and the real\nsurroundings at the same time. They are able to communicate with other\nplayers during the game. We describe an augmented reality setup for\nmultiple users with see-trough head-mounted displays, allowing dedicated\nstereoscopic views and individualized interaction for each user. We use\nface-snapping for fast and precise direct object manipulation. With face\nsnapping and the subdivision of the gaming space into spatial regions, the\nsemantics of actions can be derived out of geometric actions of the user.\nFurther, we introduce a layering concept allowing individual views onto the\ncommon data structure. The layer concept allows to make privacy management\nvery easy by simply manipulating the common data structure. Moreover,\nassigning layers to spatial regions carefully, a special privacy management\nis often not necessary. Moving objects from one region into another will\nautomatically change their visibility and privacy for each participant. We\ndemonstrate our system with two example board-games: Virtual Roulette and\nMah-Jongg, both relying heavily on social communication and the need of a\nprivate space.\n",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            410,
            249
        ],
        "number": "TR-186-2-98-10",
        "pages_from": "1",
        "pages_to": "19",
        "research_areas": [],
        "keywords": [
            "augmented  reality",
            "interaction techniques",
            "CSCW",
            "virtual gaming"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-1998-CGAR-paper.pdf",
                "type": "application/pdf",
                "size": 2463020,
                "path": "Publication:Szalavari-1998-CGAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-CGAR/Szalavari-1998-CGAR-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-CGAR/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-AGe",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Genetic Algorithm for Labeling Point Features",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147
        ],
        "note": "Proc. of the  Int. Conference on Imaging Science, Systems, and Technology, Las Vegas, NV,  pp.  189-196, July 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-AGe/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-AHy",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Hybrid GP Approach for Numerically Robust Symbolic  Regression",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147
        ],
        "note": "Proc. of the 1998 Genetic Programming Conference, Madison, Wisconsin, pp.  323-328, July 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-AHy/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-AnI",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Improved Genetic Algorithm for the Multiconstrained 0-1  Knapsack Problem",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147
        ],
        "note": "Proc. of the 5th IEEE Conference on Evolutionary  Computation,  1998 IEEE World Congress on Computational Intelligence, Anchorage, Alaska, pp.  207-211, May 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-AnI/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-App",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Approximation with Evolutionary Optimized Tensor  Product Bernstein Polynomials",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147,
            149
        ],
        "note": "Proc. of the Int. Conference on Artificial  Intelligence in Industry: From Theory to Practice, High Tatras, Slovakia, pp.  247-256, April 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-App/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-Evo",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Evolutionary Optimized Tensor Product Bernstein  Polynomials versus Backpropagation Networks",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147,
            150
        ],
        "note": "Proc. of the Int. ICSC/IFAC  Symposium on Neural Computation, Vienna, Austria, pp. 885-890, September  1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-Evo/",
        "__class": "Publication"
    },
    {
        "id": "Raidl-1998-Gen",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Genetic Algorithms for the Multiple Container  Packing Problem",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147,
            150
        ],
        "note": "Proc. of the 5th Int. Conference on Parallel Problem Solving  from Nature, Amsterdam, The Netherlands, Springer LNCS 1498, pp. 875-884,  September 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Raidl-1998-Gen/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1998-ATr",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Transparent Personal Interaction Panel  for the Virtual Table",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            375
        ],
        "note": "Computergraphik Topics, pp. 19-20, Vol. 10., No. 5,  Fraunhofer Gesellschaft, Darmstadt, Germany, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Schmalstieg-1998-ATr/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1998-Stu",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Studierstube - An Environment for Collaboration in Augmented Reality",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            234,
            249
        ],
        "note": "Virtual Reality -  Systems, Development and Applications, Vol. 3, No. 1, pp. 37-49, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Schmalstieg-1998-Stu/",
        "__class": "Publication"
    },
    {
        "id": "Schoenhacker-1998-Pre",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Presenting Dynamic Tactile Bitmap Graphics Using a Standard  Braille Character Glyph Display",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            136
        ],
        "note": "in: A.D.N. Edwards, A. Arato, W. Zagler  (eds.), Computers and Assistive Technology - ICCHP'98, Proceedings of the XV.  IFIP World Computer Congress, 31 August - 4 September 1998, Vienna/Austria and  Budapest/Hungary, OCG Schriftenreihe Band 118, pp.141-147.    <p>Paluszny, M., Buehler, K.: Canal surfaces and inversive geometry. (English)  Daehlen, Morten (ed.) et al., Mathematical methods for curves and surfaces II.  Nashville, TN: Vanderbilt Univ. Press. 367-374 (1998). MSC 1991: *65D17",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Schoenhacker-1998-Pre/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1998-Aug",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented  Reality  Enabled Collaborative Work in \"Studierstube\"",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            234,
            249
        ],
        "note": "Abstract, EURO-VR'97 conference,  Amsterdam, The Netherlands, Nov. 10-11, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-Aug/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1998-Col",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Gaming in Augmented  Reality, Proceedings of VRST'98, pp.195-204, November 2-5, 1998",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            249,
            410
        ],
        "note": "",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-Col/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1998-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interaktion mit virtuellen Informationen in  realen Umgebungen - das \"Personal Interaction Panel\"",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            249
        ],
        "note": "Arbeiten und begreifen:  Neue Mensch-Maschine - Schnittstellen, lit-Verlag, pp. 147-158, Germany,  1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-Int/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1998-Stu",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Studierstube  - An  Environment for Collaboration in Augmented Reality",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            234,
            249
        ],
        "note": "Virtual Reality: Research,  Development & Applications, (3): pp. 37-48, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szalavari-1998-Stu/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1998-Imp",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Importance Driven  Quasi-Random Walk Solution of the Rendering Equation",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            206,
            233
        ],
        "note": "In proceedings of  WSCG98,  Plzen, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szirmay-1998-Imp/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1998-Qua",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Quasi-Monte Carlo Global Light  Tracing with Infinite Number of Rays",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            14,
            190,
            206
        ],
        "note": "In proceedings of WSCG98, Plzen, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szirmay-1998-Qua/",
        "__class": "Publication"
    },
    {
        "id": "Szirmay-1998-Ray",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray-bundle Tracing with Metropolis  Sampling and Hardware Acceleration",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            206
        ],
        "note": "In Rendering Techniques´98 (ed.  G.Drettakis, N.Max), Springer-Verlag, Wien, July 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Szirmay-1998-Ray/",
        "__class": "Publication"
    },
    {
        "id": "Tastl-1998-Tra",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transforming an Analytically Defined Color Space to  Match Psychophysically Gained Color Distances",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            147,
            241
        ],
        "note": "Proc. of the SPIE's 10th Int.  Symposium on Electronic Imaging: Science and Technology, San Jose, CA, January  1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tastl-1998-Tra/",
        "__class": "Publication"
    },
    {
        "id": "Fischel-1998-Cas",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Case study:  Visualizing Various Properties of Dynamical Systems",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            184,
            212,
            399,
            416
        ],
        "note": "In 6th International  Workshop on Digital Image Processing and Computer Graphics (DIP-97):  Applications in Humanities and Natural Sciences, Emanuel Wenger, Leonid I.  Dimitrov, Editors, Proceedings of SPIE vol 3346, pp. 146-154, (1998).",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fischel-1998-Cas/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1998-Col",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative  Visualization in Augmented Reality",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            249,
            399
        ],
        "note": "IEEE Computer Graphics & Applications,  Vol.  18, No. 4, pp. 54-59, IEEE Computer Society, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-Col/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1998-Rea",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real-Time Techniques for 3D Flow Visualization",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            204
        ],
        "note": "IEEE Visualization'98 Proceedings, 1998, pp. 305-312.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-Rea/",
        "__class": "Publication"
    },
    {
        "id": "Fuhrmann-1998-Str",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Strolling through Cyberspace  with  Your Hands in Your Pockets: Head Directed Navigation in Virtual Environments",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            249
        ],
        "note": "Virtual Environments '98 (Proceedings of the 4th EUROGRAPHICS Workshop on  Virtual Environments), pp. 216-227, Stuttgart, Germany, June 16-18,  Springer-Verlag, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Fuhrmann-1998-Str/",
        "__class": "Publication"
    },
    {
        "id": "Glaeser-1998-AFa",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Fast Shadow Profiler and its Applications",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            420
        ],
        "note": "In 6th  International Workshop on Digital Image Processing and Computer Graphics  (DIP-97): Applications in Humanities and Natural Sciences, Emanuel Wenger,  Leonid I. Dimitrov, Editors, Proceedings of SPIE vol 3346, pp. 168-176,  (1998).",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Glaeser-1998-AFa/",
        "__class": "Publication"
    },
    {
        "id": "Glaeser-1998-Eff",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Volume-Generation During the  Simulation of  NC-Milling",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            420
        ],
        "note": "Proceedings of the International Workshop on Visualization and  Mathematics'97, Berlin-Dahlem, Germany, September, 16.-19., 1997. In H.-Ch.  Hege, K. Polthier (eds), Mathematical Visualization, Springer Heidelberg,  1998,  pp. 89-106.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Glaeser-1998-Eff/",
        "__class": "Publication"
    },
    {
        "id": "Hauser-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Dynamic Systems",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            176
        ],
        "date_end": "1998-12",
        "date_start": "1996-06",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Hauser-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Meinhart-1998-Tun",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "TunVis: Visualizing specific  geologic features for tunnel planning and construction, Proceedings of Spring  Conference on Computer Graphics 1998 (SCCG",
        "date": "1998",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            156,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Meinhart-1998-Tun/",
        "__class": "Publication"
    },
    {
        "id": "Milik-1998-Geo",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometry of Mixed-mode  Oscillations in the 3-d Autocatalator",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            154,
            166,
            399,
            418
        ],
        "note": "International Journal of Bifurcation  and  Chaos (IJBC), World Scientific Publishing Company, Vol. 8(3), pp. 505-519,  March 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Milik-1998-Geo/",
        "__class": "Publication"
    },
    {
        "id": "Mroz-1998-Sel",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Selected Trends in Scientific  Visualization",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            184,
            399
        ],
        "note": "Invited Paper in Proceedings of Spring Conference on Computer  Graphics 1998 (SCCG'98), Budmerice, Slovakia, April 23.-25., 1998, pp. 17-26.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mroz-1998-Sel/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1998-Aut",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Exposure in Computer  Graphics based on the Minimum Information Loss Principle",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            235
        ],
        "note": "In proceedings of  CGI98, Hannover, Germany, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Neumann-1998-Aut/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1998-Inc",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Incident Light  Metering in Computer Graphics",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            232,
            235
        ],
        "note": "In Computer Graphics Forum 17(4), pp. 235-247,  Blackwell, Oxford, December 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Neumann-1998-Inc/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1998-Per",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perception Based Color Image  Difference",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            235
        ],
        "note": "In Computer Graphics Forum 17(3), pp.C/233-C/241, Blackwell,  Oxford, Sept. 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Neumann-1998-Per/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1998-Perc",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perception Based Color Image  Difference",
        "date": "1998",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            235,
            190
        ],
        "journal": "Computer Graphics Forum",
        "lecturer": [
            235
        ],
        "note": "Eurographics98, Lissabon, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Neumann-1998-Perc/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1998-The",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Constant Radiance  Term",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            199,
            232
        ],
        "note": "In Machine, Graphics and Vision, No. 7(3), pp.535-549, Polish Academy of  Sciences, Warsaw, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Neumann-1998-The/",
        "__class": "Publication"
    },
    {
        "id": "Pronk-1998-Con",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Constructing Formal Language Definitions, Can We  Manage? What Can We Learn From Modula-2 Standardization? Computer Standards &  Interfaces, Volume 19, Number 2, March 1998, Elsevier / North Holland,  pp.143-154",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            134,
            136
        ],
        "note": "",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Pronk-1998-Con/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-1998-Sel",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Selected New Trends inScientific Visualization",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            399
        ],
        "note": "Published in the Proceedings of the Sixth International Workshop on Digital Image  Processing and Computer Graphics (SPIE DIP-97), Oct., 1997, in Vienna, Austria,  pp. 130-145 (1998).",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Purgathofer-1998-Sel/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-ANe",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Formfactor  Analogy",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            207,
            216
        ],
        "note": "In Rendering Techniques´98 (ed. G.Drettakis, N.Max), Springer-Verlag,  Wien, July 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-ANe/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-Anew",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A new Form Factor  Analogy and its Application to Stochastic Global Illumination Algorithms",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            207,
            216
        ],
        "note": "In  Rendering Techniques 98, Springer-Verlag, Wien, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-Anew/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-Des",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Designing a Parallel Object Oriented Graphics Framework",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "note": "In  the Proceedings of the 2nd Eurographics Workshop on Parallel Rendering and  Visualisation, Rennes, September 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-Des/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1998-Lin",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Linearly Combining Shading Models  for Texturing in Global Illumination Algorithms",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            145,
            190,
            216
        ],
        "note": "In Proceedings of the  WinterSchool of Computer Graphics, Plzen, Czech Republic, February 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Tobler-1998-Lin/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-1998-Pho",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photon Radiosity Lightmaps for CSG  Solids",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            192,
            216
        ],
        "note": "In Proceedings of the CSG98 conference \"CSG98 - Set theoretic Solid  Modelling Techniques and Applications\", Ammerdown, UK, April 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wilkie-1998-Pho/",
        "__class": "Publication"
    },
    {
        "id": "Wonka-1998-Ray",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Raytracing of nonlinear fractals",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            194,
            249
        ],
        "note": "WSCG Plzen 1998  Proceedings, pp. 424-431, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Wonka-1998-Ray/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1998",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1998",
        "date": "1998",
        "abstract": "Die Schneeflocken wurden mit ART (Advanced Rendering Toolkit), einem am Institut fur Computergraphik entwickelten Programmsystem zur Berechnung von realistischen Bildern, erzeugt. Als Vorlage dienten Photos von echten Schneeflocken. Die sichtbaren Farbeffekte entstehen durch physikalisch korrekte Simulation der Lichtbrechung. Dieses Bild ist auch in seiner vollen Auflösung von 1536x1024 im von Greg Larson et al. eingeführten TIFF LogLuv-Format zum Download bereit (es unterstützen leider erst sehr wenige Programme diese Erweiterung des TIFF-Formates).\r\n\r\nThis image was rendered with the spectral ray tracer of ART, the Advanced Rendering Toolkit, a software package for rendering realistic images developed at the Institute of Computer Graphics. The snowflakes have been modelled based on photos of real snowflakes. The colour effects are due to the use of a physically correct simulation of light dispersion. You can also download this image in the high dynamic range TIFF LogLuv image format developed by Greg Larson et al. in full 1536x1024 resolution here (note that most programs are not yet able to view this extension to the TIFF format).",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1536,
            "image_height": 1024,
            "name": "xmas-1998-image.png",
            "type": "image/png",
            "size": 2616280,
            "path": "Publication:xmas-1998",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1536,
                "image_height": 1024,
                "name": "xmas-1998-image.png",
                "type": "image/png",
                "size": 2616280,
                "path": "Publication:xmas-1998",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-image:thumb{{size}}.png"
            },
            {
                "description": "",
                "filetitle": "LogLuv",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 1536,
                "image_height": 1024,
                "name": "xmas-1998-LogLuv.tiff",
                "type": "image/tiff",
                "size": 3084876,
                "path": "Publication:xmas-1998",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-LogLuv.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/xmas-1998-LogLuv:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/xmas-1998/",
        "__class": "Publication"
    },
    {
        "id": "Hesina-1998-ANe",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Network Architecture for Remote Rendering",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            205
        ],
        "note": "Proceedings of Second International Workshop on Distributed Interactive  Simulation and Real-Time Applications, pp. 88-91, Montreal, Canada, July 1998.  IEEE Computer Society.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Hesina-1998-ANe/",
        "__class": "Publication"
    },
    {
        "id": "Huber-1998-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Intersecting general parametric surfaces using bounding volumes.In  proc",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            132
        ],
        "note": "of the 10th Canadian Conference on Computational Geometry - CCCG'98,  Montreal, Canada, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Huber-1998-Int/",
        "__class": "Publication"
    },
    {
        "id": "Huber-1998-Sur",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Surface-to-surface intersection with complete and  guaranteed results",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            132
        ],
        "note": "In proc. of the International Symposium on Scientific  Computing, Computer Arithmetic, and Validated Numerics, pp. 60-61, Budapest,  Hungary, SCAN'98, September 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Huber-1998-Sur/",
        "__class": "Publication"
    },
    {
        "id": "Koenig-1998-Rea",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Real Time Simulation and Visualization of NC  Milling Processes for Inhomogeneous Materials on Low-End Graphics Hardware, In  F.-E",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            197
        ],
        "note": "Wolters, N. M. Patrikalakis (eds.), Proceedings of CGI'98 (Computer  Graphics International), IEEE Computer Society, Hannover, Germany, June 22-26,  1998, pp. 338-349.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Koenig-1998-Rea/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1998-Int",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interleaved Dimension Decomposition - A new  Decomposition Method for Wavelets and its Application to Computer Graphics",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            413
        ],
        "note": "In  proceedings of WSCG98, Plzen, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Kopp-1998-Int/",
        "__class": "Publication"
    },
    {
        "id": "Leiss-1998-Rad",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity with Textures, Specular  Reflexion and Transmission",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            142,
            190,
            240
        ],
        "note": "In proceedings of  SCCG 98, Budmerice, April 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Leiss-1998-Rad/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-Enh",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Enhancing the Visualization of Characteristic  Structures in Dynamical Systems",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            399
        ],
        "note": "Proceedings of 9th EUROGRAPHICS Workshop on  Visualization in Scientific Computing, Blaubeuren, Germany, April 20.-22.,  1998, pp. 35-46. Republished in D. Bartz (ed.), Visualization in Scientific  Computing'98, Springer, pp.59-68.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-Enh/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-Vis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Poincaré Maps together  with the Underlying Flow",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            152,
            166,
            399
        ],
        "note": "Proceedings of the International Workshop on  Visualization and Mathematics'97, Berlin-Dahlem, Germany, September, 16.-19.,  1997. In H.-Ch. Hege, K. Polthier (eds), Mathematical Visualization, Springer  Heidelberg, 1998, pp. 315-328.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-Vis/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1998-Visu",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Dynamical Systems near  Critical Points, Proceedings of Spring Conference on Computer Graphics 1998  (SCCG'98), Budmerice, Slovakia, April 23.-25., 1998, pp",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            212,
            399
        ],
        "note": "175-184.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Loeffelmann-1998-Visu/",
        "__class": "Publication"
    },
    {
        "id": "Mantler-1998-Dyn",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dynamic Load Balancing in Distributed Virtual  Environments",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            407
        ],
        "note": "Proceedings of EUROGRAPHICS'98, conference companion, Lisbon,  Portugal, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Mantler-1998-Dyn/",
        "__class": "Publication"
    },
    {
        "id": "Csebfalvi-1998-AnI",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Incremental Algorithm for Fast Rotation of Volumetric Data",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            233
        ],
        "note": "Spring Conference on Computer Graphics, Budmerice, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Csebfalvi-1998-AnI/",
        "__class": "Publication"
    },
    {
        "id": "Dimitrov-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Visualization",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            236
        ],
        "date_end": "1998",
        "date_start": "1996",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Dimitrov-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-1998-Com",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Assisted Selection  of 3D Interaction and Navigation Metaphors",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            230,
            234
        ],
        "note": "Proceedings of Workshop on  Computer  Graphics, pp. ?-?, Taiwan, November 4-5, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Faisstnauer-1998-Com/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-1998-Dev",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Device-Independent  Navigation and Interaction in Virtual Environments",
        "date": "1998",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            230,
            234
        ],
        "note": "Proceedings of the 1998  VRST Adjunct Workshop on Computer Graphics, Taipei, Taiwan, Nov. 5-6, 1998.",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1998/Faisstnauer-1998-Dev/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1997-PBCID",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perception Based Color Image Difference",
        "date": "1997-12",
        "abstract": "A good image metric is often needed in digital image\nsynthesis. It can be used to check the convergence behavior in\nprogressive methods, to compare images rendered using various\nrendering methods etc. Since images are rendered to be observed by\nhumans, an image metric should correspond to human perception as\nwell. We propose here a new algorithm which operates in the original\nimage space. There is no need for Fourier or wavelet\ntransforms. Furthermore, the new metric is view distance\ndependent. The new method uses the contrast sensitivity\nfunction\\cite{[MANN74]}. The main idea is to place a number of various\nrectangles in images, and to compute the CIE LUV average color\ndifference between corresponding rectangles. Errors are then weighted\naccording to the rectangle size and the contrast sensitivity\nfunction.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            235,
            190
        ],
        "number": "TR-186-2-97-21",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "image comparisson",
            "perception based rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-1997-PBCID-paper.gz",
                "type": "application/octet-stream",
                "size": 1122980,
                "path": "Publication:Neumann-1997-PBCID",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Neumann-1997-PBCID/Neumann-1997-PBCID-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Neumann-1997-PBCID/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1997-MRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi-Resolution Image Morphing",
        "date": "1997-10",
        "abstract": "The proposed technique extends conventional image\nmorphing algorithms by offering additional control over the\nprocessing of the individual multi-resolutions that are used in the\nwavelet representation when moving from the source to the destination\nimage. This gives the animator the possibility to introduce a disparity\nbetween the morphing of global and detail features that can lead to\ninteresting new effects that are not achievable with traditional methods.\nThe calculation of an intermediate image in conventional image\nmorphing algorithms is done in three steps: firstly the determination\nof feature correspondence and of an intermediate feature geometry,\nsecondly the warping of the source and the destination images to\nintermediate images that match the feature geometry, and finally the\nblending of the two warped images. The proposed algorithm alters the\nthird step by making the blending dependent on the multi-resolution\nlevels using a new specialized 2D wavelet transformation.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413,
            190
        ],
        "number": "TR-186-2-97-20",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "Animation",
            "Image Morphing",
            "Wavelets"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kopp-1997-MRM-paper.pdf",
                "type": "application/pdf",
                "size": 3294069,
                "path": "Publication:Kopp-1997-MRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kopp-1997-MRM/Kopp-1997-MRM-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kopp-1997-MRM/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1997-ARECWS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Reality Enabled Collaborative Work in 'Studierstube'",
        "date": "1997-09",
        "abstract": "We introduce a multi-user augmented reality system to support\ncollaboration of participants in research, presentation and education. Our system\n\"Studierstube\"  presents three-dimensional stereoscopic images simultaneously to a\ngroup of users wearing see-through head mounted displays. The displays do not affect\nnatural communication and interaction, making working together very effective. Users see\nthe same spatially aligned model, but can independently control their viewpoint and\n        different layers of the data to be displayed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            249,
            204,
            202
        ],
        "number": "TR-186-2-97-18",
        "pages_from": "1",
        "pages_to": "TR-186-2-97-19Paper.ps.gz",
        "research_areas": [],
        "keywords": [
            "augmented reality",
            "multi-user application",
            "collaboration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-1997-ARECWS-paper.gz",
                "type": "application/octet-stream",
                "size": 32909,
                "path": "Publication:Szalavari-1997-ARECWS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-ARECWS/Szalavari-1997-ARECWS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-ARECWS/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1997-ARECWSX",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Augmented Reality Enabled Collaborative Work in 'Studierstube'",
        "date": "1997-09",
        "abstract": "We introduce a multi-user augmented reality system to support\ncollaboration of participants in research, presentation and education. Our system\n\"Studierstube\"  presents three-dimensional stereoscopic images simultaneously to a\ngroup of users wearing see-through head mounted displays. The displays do not affect\nnatural communication and interaction, making working together very effective. Users see\nthe same spatially aligned model, but can independently control their viewpoint and\n        different layers of the data to be displayed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            249,
            204,
            202
        ],
        "number": "TR-186-2-97-18",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "augmented reality",
            "multi-user application",
            "collaboration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-1997-ARECWSX-paper.gz",
                "type": "application/octet-stream",
                "size": 32909,
                "path": "Publication:Szalavari-1997-ARECWSX",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-ARECWSX/Szalavari-1997-ARECWSX-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-ARECWSX/",
        "__class": "Publication"
    },
    {
        "id": "Fischel-1997-CSVVP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Case study: Visualizing Various Properties of\n\t\t  Dynamical Systems",
        "date": "1997-09",
        "abstract": "There is a wide range of visualization techniques for\ndynamical systems. These methods are used to visualize certain\nproperties as, e.g., stability of fixed points, characteristic changes\nof velocity, and bifurcations. This paper gives a short introduction\nto dynamical systems and describes several visualization\ntechniques. Some of those are applied to three different dynamical\nsystems. The application of different visualization methods to\ndynamical systems shows, how scientific visualization can be used for\nanalyzing the behavior of dynamical systems, and how visualization can\n     make analysis of a dynamical system fast and efficient.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            416,
            212,
            184,
            399,
            166
        ],
        "number": "TR-186-2-97-16",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fischel-1997-CSVVP-paper.gz",
                "type": "application/octet-stream",
                "size": 1848646,
                "path": "Publication:Fischel-1997-CSVVP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Fischel-1997-CSVVP/Fischel-1997-CSVVP-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Fischel-1997-CSVVP/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-1997-SNT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Selected New Trends in Scientific Visualization",
        "date": "1997-09",
        "abstract": "Visualization became an important branch of\nscientific research\nduring the past decade.  Some topics of visualization, for\nexample, flow visualization and volume visualization, already\nprovide lots of high-quality solutions to the most important\nproblems.  Others as, e.g., information visualization, are rather\nyoung disciplines which continuously provide lots of new\nadvances.  One such topic is the visualization over the Internet.\nQuite a number of approaches emerged during the last two years\nwhich facilitate this idea and embed the World Wide Web into the\nvisualization process.  Another trend in visualization is\ncollaborative visualization within an augmented reality setup.\nUsers exploit real 3D interaction and augmented reality to combine\ncommunication and investigation during research or education.\nThirdly, the visualization of multi-dimensional and multi-modal\ndata is a rather hot challenge to current scientific research.\nCoping with the restriction of just a few dimensions for\nrepresenting visualization results is a big open problem in\n    visualization and currently subject to eager research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            399
        ],
        "number": "TR-186-2-97-17",
        "pages_from": "1",
        "pages_to": "16",
        "research_areas": [],
        "keywords": [
            "Visualization",
            "web technologies",
            "augmented reality",
            "information visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-1997-SNT-paper.gz",
                "type": "application/octet-stream",
                "size": 2399698,
                "path": "Publication:Purgathofer-1997-SNT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Purgathofer-1997-SNT/Purgathofer-1997-SNT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Purgathofer-1997-SNT/",
        "__class": "Publication"
    },
    {
        "id": "Wilkie-1997-PRL",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Photon Radiosity Lightmaps for CSG Solids",
        "date": "1997-09",
        "abstract": "We propose a technique that enables one to exploit the\ninherent ability of stochastic radiosity algorithms to work correctly in the\npresence of arbitrary CSG intersections. With such radiosity algorithms the\ncommon approach to storing the illumination over a surface is to attach\nso--called {\\em lightmaps} to them. By suitably splitting those lightmap\nelements at set--up time that are partitioned in some way by CSG\nintersections, we create an environment where a photon simulation can be\nperformed without any modifications to the algorithm and little run--time\npenalty.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192,
            216,
            190
        ],
        "number": "TR-186-2-97-19",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "CSG",
            "functional radiosity",
            "stochastic radiosity",
            "lightmaps"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wilkie-1997-PRL-paper.gz",
                "type": "application/octet-stream",
                "size": 71036,
                "path": "Publication:Wilkie-1997-PRL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wilkie-1997-PRL/Wilkie-1997-PRL-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wilkie-1997-PRL/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-1997-DINIVE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Device-Independent Navigation and Interaction in Virtual\n                Environments",
        "date": "1997-08",
        "abstract": "We present a new approach to the integration of input\ndevices into virtual environment software systems. Our approach employs a\nso-called Mapper module as an intermediate between input device drivers and\nvirtual environment application. Major advantages of our approach are full\ndevice-independence, including the easy integration of new input devices\nand emulation of missing device capabilities, interactive reconfiguration,\nsharing of input devices among multiple applications, automatic selection\nof devices and interaction appropriate for the task, and high-level support\nfor a large variety of navigation styles in virtual environments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            230,
            202,
            234
        ],
        "number": "TR-186-2-97-15",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "user interface",
            "virtual environments",
            "devices"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Faisstnauer-1997-DINIVE-paper.pdf",
                "type": "application/pdf",
                "size": 993287,
                "path": "Publication:Faisstnauer-1997-DINIVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Faisstnauer-1997-DINIVE/Faisstnauer-1997-DINIVE-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Faisstnauer-1997-DINIVE/",
        "__class": "Publication"
    },
    {
        "id": "Milik-1997-GMMO",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometry of Mixed-mode Oscillations in the 3-d\n                Autocatalator",
        "date": "1997-08",
        "abstract": "We present a geometric explanation of a basic mechanism\ngenerating mixed-mode oscillations in a prototypical simple\nmodel of a chemical oscillator.  Our approach is based on\ngeometric singular perturbation theory and canard solutions.  We\nexplain how the small oscillations are generated near a special\npoint, which is classified as a folded saddle-node for the\nreduced problem.  The canard solution passing through this point\nseparates small oscillations from large relaxation type\noscillations.  This allows to define a one-dimensional return\nmap in a natural way. This bimodal map is capable of\nexplaining the observed bifurcation sequence convincingly.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            417,
            418,
            399,
            166
        ],
        "number": "TR-186-2-97-14",
        "pages_from": "1",
        "pages_to": "27",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Milik-1997-GMMO-paper.gz",
                "type": "application/octet-stream",
                "size": 1756939,
                "path": "Publication:Milik-1997-GMMO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Milik-1997-GMMO/Milik-1997-GMMO-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Milik-1997-GMMO/",
        "__class": "Publication"
    },
    {
        "id": "tobler97_hsdasr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Hierarchical Subdivision Algorithm for Stochastic Radiosity Methods",
        "date": "1997-06",
        "abstract": "The algorithm proposed in this paper uses a stochastic approach to incrementally calculate the illumination function over a surface. By tracking the illumination function at different levels of meshing resolution, it is possible to get a measure for the quality of the current representation, and to adoptively subdivide in places with inadequate accuracy. With this technique a hierarchical mesh that is based on the stochastic evaluation of global illumination is generated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "Hierarchical subdivision of geometric primitives in a scene",
            "filetitle": "image1",
            "main_file": true,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 600,
            "image_height": 600,
            "name": "tobler97_hsdasr-image1.tiff",
            "type": "image/tiff",
            "size": 551318,
            "path": "Publication:tobler97_hsdasr",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image1.tiff",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image1:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            192,
            245,
            190
        ],
        "address": "St. Etienne, France",
        "booktitle": "Eurographics Rendering Workshop 1997",
        "editor": "Julie Dorsey and Philipp Slusallek",
        "lecturer": [
            216
        ],
        "organization": "Eurographics",
        "pages_from": "193",
        "pages_to": "204",
        "publisher": "Springer Wien",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "radiosity",
            "monte carlo methods"
        ],
        "weblinks": [],
        "files": [
            {
                "description": "Hierarchical subdivision of geometric primitives in a scene",
                "filetitle": "image1",
                "main_file": true,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 600,
                "image_height": 600,
                "name": "tobler97_hsdasr-image1.tiff",
                "type": "image/tiff",
                "size": 551318,
                "path": "Publication:tobler97_hsdasr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image1.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image1:thumb{{size}}.png"
            },
            {
                "description": "Standard scene meshing",
                "filetitle": "image2",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 600,
                "image_height": 600,
                "name": "tobler97_hsdasr-image2.tiff",
                "type": "image/tiff",
                "size": 835592,
                "path": "Publication:tobler97_hsdasr",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image2.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/tobler97_hsdasr-image2:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/tobler97_hsdasr/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1997-ITT",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Techniques in Three-dimensional Modeling",
        "date": "1997-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193,
            216
        ],
        "booktitle": "13th Spring Conference on Computer Graphics",
        "editor": "Wolfgang Straßer",
        "isbn": "80-223-1176-6",
        "organization": "Comenius University, Bratislava, Slovakia",
        "pages_from": "41",
        "pages_to": "48",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wimmer-1997-ITT/",
        "__class": "Publication"
    },
    {
        "id": "Kresimir-1997-ILMCG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Incident Light Metering in Computer Graphics",
        "date": "1997-04",
        "abstract": "Every rendering process consists of two steps. The\nfirst is the computing of luminance values by methods like ray tracing\nor radiosity, and the second step is the mapping of the computed\nvalues to values appropriate for displaying. In the last years, as\nalternative to simple linear scaling which maps the average value to\nthe medium lumninance, some new ways of mapping were introduced. These\nnew methods are based on photography analogies and on human vision\nmodels. All existing methods follow, implicitly or explicitly, the\nreflected light metering principle. The method introduced in this\npaper is the first that follows the incident light metering used in\nprofessional photography and in the movie industry. Actually the\nirradiances are measured using a set of diffusors, which are placed\nautomatically in the scene, and a linear scale factor based on these\nmeasurements is used to map the computed radiances to the display\ndevice. The diffusors act as half space integrators, they collect the\nlight energy from all half space directions. The light comes from the\nprimary light sources, or it is the result of various\ninterreflections. The newly introduced method reproduces original\ncolors faithfully even for scenes with very low or very high average\nreflectivity.Every rendering process consists of two steps. The first\nis the computing of luminance values by methods like ray tracing or\nradiosity, and the second step is the mapping of the computed values\nto values appropriate for displaying. In the last years, as\nalternative to simple linear scaling which maps the average value to\nthe medium lumninance, some new ways of mapping were introduced. These\nnew methods are based on photography analogies and on human vision\nmodels. All existing methods follow, implicitly or explicitly, the\nreflected light metering principle. The method introduced in this\npaper is the first that follows the incident light metering used in\nprofessional photography and in the movie industry. Actually the\nirradiances are measured using a set of diffusors, which are placed\nautomatically in the scene, and a linear scale factor based on these\nmeasurements is used to map the computed radiances to the display\ndevice. The diffusors act as half space integrators, they collect the\nlight energy from all half space directions. The light comes from the\nprimary light sources, or it is the result of various\ninterreflections. The newly introduced method reproduces original\ncolors faithfully even for scenes with very low or very high average\nreflectivity.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            177,
            232,
            190
        ],
        "number": "TR-186-2-97-11",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "color mapping",
            "global illumination",
            "tone mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kresimir-1997-ILMCG-paper.gz",
                "type": "application/octet-stream",
                "size": 6155740,
                "path": "Publication:Kresimir-1997-ILMCG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kresimir-1997-ILMCG/Kresimir-1997-ILMCG-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kresimir-1997-ILMCG/",
        "__class": "Publication"
    },
    {
        "id": "Kresimir-1997-STMT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Tone Mapping Techniques",
        "date": "1997-04",
        "abstract": "This paper gives a survey of tone mapping techniques\nusid with global illumination models. Linear and non-linear methods\nare compared, and drawbacks and strengths of all methods are given\naccording to the authors' opinions. The tone mapping is an important\nstep in the rendering process, and this survey can help potentional\nusers to choose the right mapping technique for a particular\npurpose.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            177,
            190
        ],
        "number": "TR-186-2-97-12",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "color mapping",
            "global illumination",
            "tone mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kresimir-1997-STMT-paper.gz",
                "type": "application/octet-stream",
                "size": 3572949,
                "path": "Publication:Kresimir-1997-STMT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kresimir-1997-STMT/Kresimir-1997-STMT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Kresimir-1997-STMT/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1997-FV2",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Visualization of 2D Dynamical Systems\n                  by the use of Virtual Ink Droplets",
        "date": "1997-04",
        "abstract": "This paper presents a new visualization technique for\nflow fields in 2D.  It utilizes a physical model of smearing ink over a\nsheet of paper as an intuitive metaphor for the representation of a\ndynamical system.  This technique is capable of producing images that are\ncomparable to those generated with line integral convolution (LIC),\nwhich is a well-known and established visualization technique for planar\nvector fields.  Similar to oriented line integral convolution (OLIC), an\nextension to LIC, the virtual ink droplet method is capable of\nvisualizing not only direction and velocity of flow (as LIC does), but\nalso the orientation of vectors.  The main advantage of the new method\nis, that animation sequences, which intuitively represent the dynamics\ninduced by the underlying dynamical system, can be computed much more\nefficiently than by the use of LIC or OLIC. A speed-up of about 200 is\nusually achieved when virtual ink droplets are used instead.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            197,
            166
        ],
        "number": "TR-186-2-97-13",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems",
            "flow visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1997-FV2-paper.gz",
                "type": "application/octet-stream",
                "size": 1232339,
                "path": "Publication:Loeffelmann-1997-FV2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-FV2/Loeffelmann-1997-FV2-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-FV2/",
        "__class": "Publication"
    },
    {
        "id": "Glaeser-1997-EVG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Volume-Generation During the Simulation of\n                NC-Milling",
        "date": "1997-04",
        "abstract": "This paper presents an efficient and robust algorithm for\nthe geometric determination of swept volumes during the simulation of\nNC-milling (three-axis machining and five-axis machining). The boundary Y\nof the volume swept by a cutter F is represented polygonally by using\ninstantaneous helical motions to exactly determine the line of contact\nbetween F and Y.\nApplying concepts of differential geometry allows a better and more\nefficient approximation of tool paths. Tool paths are explicitly calculated\nwhen a design surface G is to be milled along prescribed curves.\nWe also describe how to quickly determine a polygonized representation of\nthe truncated material during the milling process by means of\n'G-buffering'. This polygon-oriented algorithm is perfectly suitable for\nBoolean subtractions and error assessment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            420,
            166
        ],
        "number": "TR-186-2-97-10",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "G-Buffer",
            "sweeps",
            "solid modeling",
            "NC-verification",
            "NC-milling",
            "computer aided manufacturing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Glaeser-1997-EVG-paper.gz",
                "type": "application/octet-stream",
                "size": 1652501,
                "path": "Publication:Glaeser-1997-EVG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Glaeser-1997-EVG/Glaeser-1997-EVG-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Glaeser-1997-EVG/",
        "__class": "Publication"
    },
    {
        "id": "fuhrmann-1997-CAR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collaborative Augmented Reality: Exploring Dynamical\n                 Systems",
        "date": "1997-03",
        "abstract": "In this paper we present collaborative scientific\nvisualization in STUDIERSTUBE. STUDIERSTUBE is an augmented reality system\nthat has several advantages over conventional desktop and other virtual\nreality environments, including true stereoscopy, 3D-interaction,\nindividual viewpoints and customized views for multiple users, unhindered\nnatural collaboration and low cost. We demonstrate the application of this\nconcept for the interaction of multiple  users and illustrate it with\nseveral visualizations of dynamical systems in DynSys3D, a visualization\nsystem running on top of AVS.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204,
            399,
            202
        ],
        "number": "TR-186-2-97-09",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "collaborative work",
            "dynsys3d",
            "visulaization",
            "virtual environment",
            "augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "fuhrmann-1997-CAR-paper.pdf",
                "type": "application/pdf",
                "size": 451036,
                "path": "Publication:fuhrmann-1997-CAR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/fuhrmann-1997-CAR/fuhrmann-1997-CAR-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/fuhrmann-1997-CAR/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-97-FOL",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Oriented Line Integral Convolution for Vector\n                Field Visualization via the Internet",
        "date": "1997-03",
        "abstract": "Oriented Line Integral Convolution (OLIC) illustrates\nflow fields by convolving a sparse texture with an anisotropic\nconvolution kernel. The kernel is aligned to the underlying flow of\nthe vector field. OLIC does not only show the direction of the flow\nbut also its orientation. This paper presents Fast Rendering of Oriented\nLine Integral Convolution (FROLIC), which is approximately two orders of\nmagnitude faster than OLIC. Costly convolution operations as done in\nOLIC are replaced in FROLIC by approximating a streamlet through a set\nof disks with varying intensity. The issue of overlapping streamlets\nis discussed. Two efficient animation techniques for animating FROLIC\nimages are described. FROLIC has been implemented as a Java applet.\nThis allows researchers from various disciplines (typically with\ninhomogenous hardware environments) to conveniently explore and\ninvestigate analytically defined 2D vector fields.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166
        ],
        "number": "TR-186-2-97-07",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "vector field visualization",
            "Line Integral Convolution"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wegenkittl-97-FOL-paper.gz",
                "type": "application/octet-stream",
                "size": 1103793,
                "path": "Publication:Wegenkittl-97-FOL",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wegenkittl-97-FOL/Wegenkittl-97-FOL-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wegenkittl-97-FOL/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-97-VBH",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing the Behavior of Higher Dimensional\n                Dynamical Systems",
        "date": "1997-03",
        "abstract": "In recent years scientific visualization has been\ndriven by the need to visualize high-dimensional data sets within\nhigh-dimensional spaces.\nHowever most visualization methods are designed for showing some\nstatistical features of the data set. This paper deals with the\nvisualization of trajectories of high-dimensional dynamical systems\nwhich form a L^n_n data set of a smooth n-dimensional flow. Three\nmethods that are based on the idea of parallel coordinates are\npresented and discussed. Visualizations done with these new methods\nare shown and an interactive visualization tool for the exploration\nof high-dimensional dynamical systems is proposed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            399,
            166
        ],
        "number": "TR-186-2-97-08",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "dynamical system",
            "multi-dimension visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wegenkittl-97-VBH-paper.gz",
                "type": "application/octet-stream",
                "size": 3729288,
                "path": "Publication:Wegenkittl-97-VBH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wegenkittl-97-VBH/Wegenkittl-97-VBH-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wegenkittl-97-VBH/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1997-IRN",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "recursIV: Interactive Rendering of Natural Phenomena",
        "date": "1997-03",
        "abstract": "We present an approach for direct rendering of natural\nphenomena such as trees, plants or mountains from a procedural\nrepresentation at interactive frame rates. Our approach is based on\ndirected cyclic graphs. It allows to represent extremely complex scenes\nwith little memory and modeling effort. Very large scale virtual\nenvironments are supported by a bandwidth-preserving networking approach\nthat makes use of the compact representation and on-the-fly database\namplification.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249
        ],
        "number": "TR-186-2-97-04",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "directed cyclic graphs",
            "natural phenomena",
            "fractals",
            "interactive rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1997-IRN-paper.pdf",
                "type": "application/pdf",
                "size": 639936,
                "path": "Publication:Schmalstieg-1997-IRN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-IRN/Schmalstieg-1997-IRN-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-IRN/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1997-SAI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Survey of Advanced Interactive 3-D Graphics Techniques",
        "date": "1997-03",
        "abstract": "The reader is introduced to the field of interactive\nthree-dimensional graphics. In order to convincingly display a virtual\nworld to a user, hardware-accelerated rendering is not enough. More\ndemanding applications require sophisticated graphics techniques, e.g.\nlevel of detail rendering and visibility culling. This report gives an\noverview of the state of the art in this area.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202
        ],
        "number": "TR-186-2-97-05",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "interactive rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1997-SAI-paper.gz",
                "type": "application/octet-stream",
                "size": 442947,
                "path": "Publication:Schmalstieg-1997-SAI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-SAI/Schmalstieg-1997-SAI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-SAI/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1997-SMO",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Smooth Levels of Detail",
        "date": "1997-03",
        "abstract": "Levels of detail (LODs) are used in interactive computer\ngraphics to avoid overload of the rendering hardware with to high numbers\nof polygons. While conventional methods use a small set of discrete LODs,\nwe introduce a new class of polygonal simplification: Smooth LODs. A very\nlarge number of small details encoded in a data stream allows a progressive\nrefinement of the object from a very coarse approximation to the original\nhigh quality representation. Advantages of the new approach include\nprogressive transmission and encoding suitable for networked applications,\ninteractive selection of any desired quality, and compression of the data\nby incremental and redundancy free encoding.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            422
        ],
        "number": "TR-186-2-97-03",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "vertex clustering",
            "progressive meshes",
            "levels of detail"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1997-SMO-paper.pdf",
                "type": "application/pdf",
                "size": 159270,
                "path": "Publication:Schmalstieg-1997-SMO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-SMO/Schmalstieg-1997-SMO-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-SMO/Schmalstieg-1997-SMO-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-1997-SMO/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1997-VPM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualizing Poincare Maps together with the\n\t\tunderlying flow",
        "date": "1997-03",
        "abstract": "We present a set of advanced techniques for the\nvisualization of 2D Poincare maps.  Since 2D Poincare\nmaps are a mathematical abstraction of periodic or\nquasiperiodic 3D flows, we propose to embed the\n2D visualization with standard 3D techniques to improve the\nunderstanding of the Poincare maps.  Methods to enhance\nthe representation of the relation $x\\leftrightarrow{}P(x)$,\ne.g., the use of spot noise, are presented as well as\ntechniques to visualize the repeated application of $P$,\ne.g., the approximation of $P$ as a warp function.  It is\nshown that animation can be very useful to further improve\nthe visualization.  For example, the animation of the\nconstruction of Poincare map $P$ is inherently a proper\nvisualization.  During the paper we present a set of\n        examples which demonstrate the usefulness of our techniques.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            152,
            166
        ],
        "number": "TR-186-2-97-06",
        "pages_from": "1",
        "pages_to": "17",
        "research_areas": [],
        "keywords": [
            "Poincare maps",
            "dynamical systems",
            "visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1997-VPM-paper.gz",
                "type": "application/octet-stream",
                "size": 4352068,
                "path": "Publication:Loeffelmann-1997-VPM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-VPM/Loeffelmann-1997-VPM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-VPM/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1997-HSV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hierarchical Streamarrows for the Visualization of\n                Dynamical Systems",
        "date": "1997-01",
        "abstract": "Streamarrows are a technique to enhance the use of\nstreamsurfaces by separating arrow-shaped portions from the\nremaining streamsurface.  We present a hierarchical streamarrows\nalgorithm as an extension to this technique: Streamarrows are\nlocally chosen from a stack of scaled streamarrows textures to\navoid too big or small streamarrows in the rendered image.  We\nfurthermore present techniques how streamarrows can be extended\ninto 3D, namely perpendicular to the streamsurface: streamarrows\ncan be shifted slightly out of the streamsurface.  Another\nextension in this category is to represent the outline of\nstreamarrows as 3D tubes.  We show a set of images which have been\n  rendered using this technique and report about ongoing research.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            184,
            166
        ],
        "number": "TR-186-2-97-02",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "streamsurfaces",
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1997-HSV-paper.gz",
                "type": "application/octet-stream",
                "size": 2587496,
                "path": "Publication:Loeffelmann-1997-HSV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-HSV/Loeffelmann-1997-HSV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Loeffelmann-1997-HSV/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1997-Studierstube",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "'Studierstube' An Environment for Collaboration in\n                Augmented Reality",
        "date": "1997-01",
        "abstract": "We propose an architecture for multi-user augmented\nreality with applications in visualization, presentation and education,\nwhich we call ´Studierstube´. Our system presents three-dimensional\nstereoscopic graphics simultaneously to group of users wearing light weight\nsee-through head mounted displays. The displays do not affect natural\ncommunication and interaction, making working together very effective.\nUsers see the same spatially aligned model, but can independently control\ntheir viewpoint and different layers of the data to be displayed. Major\nfield of application serves computer supported cooperative work and\nenhances cooperation of experts. The paper presents the client server\nsoftware architecture underlying this system and details that must be\naddressed to create a high-quality augmented reality setup.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            202,
            204,
            249
        ],
        "number": "TR-186-2-97-01",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "multi-user applications",
            "augmented reality",
            "collaboration",
            "distributed graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-1997-Studierstube-paper.pdf",
                "type": "application/pdf",
                "size": 253380,
                "path": "Publication:Szalavari-1997-Studierstube",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-Studierstube/Szalavari-1997-Studierstube-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Szalavari-1997-Studierstube/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/13461",
        "title": "The Remote Rendering Pipeline - Managing Geometry and Bandwidth in Distributed Virtual Environments",
        "date": "1997",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202
        ],
        "date_end": "1997-12",
        "date_start": "1995-03",
        "open_access": "yes",
        "pages": "146",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [
            "Dreidimensionale Computergrafik",
            "Interaktion",
            "Virtuelle Realität",
            "Verteiltes System",
            "Modell"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 1204787,
                "path": "Publication:Schmalstieg-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-thesis/Schmalstieg-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-thesis/Schmalstieg-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Schmalstieg-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Global Illumination using Stochastic Radiosity for Constructive Solid Geometry",
        "date": "1997",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "date_end": "1997-04",
        "date_start": "1994-04",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Tobler-thesis/",
        "__class": "Publication"
    },
    {
        "id": "traxler-1997-TRA",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Ray Tracing of Complex Natural Scenes",
        "date": "1997",
        "abstract": "In this paper we present a method for the consistent modelling and efficient ray tracing of complex natural scenes. Both plants and terrains are modelled and represented in the same way to allow mutual influences of their appearance and interdependencies of their geometry. Plants are generated together with a fractal terrain, so that they directly grow on it. This allows an accurate calculation of reflections and the cast of shadows. The scenes are modeled with a special kind of PL-Systems and are represented by cyclic object-instancing graphs. This is a very compact representation for ray tracing, which avoids restrictions to the complexity of the scenes. To significantly increase the\nefficiency of ray tracing with this representation an adaptation of conventional optimization\ntechniques to cyclic graphs is necessary. In this paper we introduce methods for the calculation of a\nbounding box hierarchy and the use of a regular 3d-grid for cyclic graphs.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            249
        ],
        "booktitle": "Proceedings of Fractal 97",
        "date_from": "2007",
        "editor": "M. M. Novak and T. G. Dewey",
        "lecturer": [
            237
        ],
        "location": "Denver, Colorado",
        "publisher": "World Scientific Publishers",
        "research_areas": [
            "Rendering"
        ],
        "keywords": [
            "Cyclic Object Instancing Graphs",
            "PL-systems",
            "Natural Phenomena ",
            "Ray Tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "traxler-1997-TRA-paper.pdf",
                "type": "application/pdf",
                "size": 923617,
                "path": "Publication:traxler-1997-TRA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/traxler-1997-TRA/traxler-1997-TRA-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/traxler-1997-TRA/traxler-1997-TRA-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/traxler-1997-TRA/",
        "__class": "Publication"
    },
    {
        "id": "Traxler-thesis1",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling and Realistic Rendering of Natural Scenes with Cyclic CSG-Graphs",
        "date": "1997",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237
        ],
        "date_end": "1997",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Traxler-thesis1/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Complex Dynamical Systems",
        "date": "1997",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165
        ],
        "date_end": "1997",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Wegenkittl-thesis/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1997",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1997",
        "date": "1997",
        "abstract": "This image was rendered with the ray tracer of ART, the Advanced Rendering Toolkit, a software package for rendering realistic images developed at the Institute of Computer Graphics. ART includes multiple rendering technologies and is intended as a development platform for research in global illumination.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 1152,
            "image_height": 1536,
            "name": "xmas-1997-image.png",
            "type": "image/png",
            "size": 2374388,
            "path": "Publication:xmas-1997",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            192
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 1152,
                "image_height": 1536,
                "name": "xmas-1997-image.png",
                "type": "image/png",
                "size": 2374388,
                "path": "Publication:xmas-1997",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/xmas-1997-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/xmas-1997/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/13469",
        "title": "Tone Mapping Techniques and Color Image Difference in Global Illumination",
        "date": "1997",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235
        ],
        "date_end": "1997-12",
        "open_access": "yes",
        "pages": "120",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "pdf",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Matkovic-thesis-pdf.pdf",
                "type": "application/pdf",
                "size": 886903,
                "path": "Publication:Matkovic-thesis",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Matkovic-thesis/Matkovic-thesis-pdf.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1997/Matkovic-thesis/Matkovic-thesis-pdf:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1997/Matkovic-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1996-NCB",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Class of BRDF Models with Fast Importance Sampling",
        "date": "1996-12",
        "abstract": "We introduce a physically plausible mathematical model\nfor a large class of BRDFs. The new model can be defined\nin a user-friendly way and it is as simple as the\nwell-known Phong model, without any of its disadvantages.\nIt gives a good visual approximation of a lot of practical\nmaterials: metals, plastics, ceramics, retro-reflective\npaints, anisotropic materials, etc. The new model includes\nthe ideal diffuse model and ideal mirror as well, reflecting\nall of the incoming energy. Because of its illustrative\nproperties it can be used easily in most commercial\nsoftware and because of its low computational cost it is\n                 practical for VR.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            232
        ],
        "number": "TR-186-2-96-24",
        "pages_from": "1",
        "pages_to": "25",
        "research_areas": [],
        "keywords": [
            "rendering",
            "reflection models",
            "anisotropy",
            "retro-reflective models",
            "BRDF",
            "albedo",
            "Monte Carlo",
            "imporance sampling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-1996-NCB-paper.gz",
                "type": "application/octet-stream",
                "size": 176434,
                "path": "Publication:Neumann-1996-NCB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-NCB/Neumann-1996-NCB-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-NCB/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-1996-AFR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Animating Flowfields: Rendering of Oriented Line Integral\n\t\tConvolution",
        "date": "1996-12",
        "abstract": "Line Integral Convolution (LIC) is a common approach\nfor the visualization of vector fields. It is well suited for visualizing\nthe direction of a flow field, but it gives no information about the\norientation of the underlying vectors. We introduce Oriented Line Integral\nConvolution (OLIC), where direction as well as orientation are encoded\nwithin the resulting image. This is achieved by using a low frequency\ninput texture and a ramp like (unisotropic) convolution kernel. This\nmethod can be animated, whereby the computation of so called pixel traces\nfastens the calculation process. In the result section various OLICs using\nsimple and real-world vector fields are shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            190
        ],
        "number": "TR-186-2-96-23",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "flowfield visualization",
            "line integral convolution"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wegenkittl-1996-AFR-paper.gz",
                "type": "application/x-zip",
                "size": 2491242,
                "path": "Publication:Wegenkittl-1996-AFR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Wegenkittl-1996-AFR/Wegenkittl-1996-AFR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Wegenkittl-1996-AFR/",
        "__class": "Publication"
    },
    {
        "id": "Wegenkittl-1996-SDI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation of Differential Interferometry and\n                 Comparison with Experimental Results",
        "date": "1996-11",
        "abstract": "This paper presents the computational simulation of a\ndifferential interferometer in a Mach-Zehnder arrangement\nwith objects located outside the center of the\ninterferometer. The computer simulation corresponds very\nwell to an experimental setup. This is illustrated for\nseveral basic phase objects. The theoretical models of\nthese objects are discussed. The concept of an interactive\nvisualization system for the analysis of phase objects is\npresented and finallysome results allowing a comparison\n                between experimental and simulated interferograms are shown.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            423
        ],
        "number": "TR-186-2-96-22",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "interferometry",
            "simulation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Wegenkittl-1996-SDI-paper.gz",
                "type": "application/octet-stream",
                "size": 1870043,
                "path": "Publication:Wegenkittl-1996-SDI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Wegenkittl-1996-SDI/Wegenkittl-1996-SDI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Wegenkittl-1996-SDI/",
        "__class": "Publication"
    },
    {
        "id": "Wimmer-1996-ITB",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interaktive Techniken im Bereich des dreidimensionalen Modelings",
        "date": "1996-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            193
        ],
        "supervisor": [
            216
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Wimmer-1996-ITB/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1996-DS3",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "DynSys3D: A workbench for developing advanced\nvisualization  techniques in the field of\n                 three-dimensional dynamical systems",
        "date": "1996-11",
        "abstract": "This work describes DynSys3D, a framework for testing and\nimplementing visualization techniques in the area of three-dimensional\ndynamical systems. DynSys3D has been designed to meet requirements which\nallow a fast and modular investigation of dynamical systems. Such\nrequirements are, e.g., extendability, interactivity, and symmetry. Some\nvisualization examples realized with DynSys3D illustrate the flexibility of\nthe system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166
        ],
        "number": "TR-186-2-96-21",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1996-DS3-paper.gz",
                "type": "application/octet-stream",
                "size": 139679,
                "path": "Publication:Loeffelmann-1996-DS3",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Loeffelmann-1996-DS3/Loeffelmann-1996-DS3-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Loeffelmann-1996-DS3/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1996-LOB",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lodestar: An Octree-Based Level of Detail Generator for VRML",
        "date": "1996-10",
        "abstract": "Level of detail generation is important for managing\ngeometric complexity of three-dimensional objects and\nvirtual worlds. However, most algorithms that compute\nlevels of detail do not deal with the special\nrequirements of input data in VRML format. We report\nan algorithm called LODESTAR, based on octree\nquantization that robustly computes simplifications\n                for objects in VRML.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "image_width": 539,
            "image_height": 476,
            "name": "Schmalstieg-1996-LOB-.png",
            "type": "image/png",
            "size": 132676,
            "path": "Publication:Schmalstieg-1996-LOB",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-.png",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202
        ],
        "number": "TR-186-2-96-19",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "octree quantisation",
            "levels of detail",
            "VRML"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 539,
                "image_height": 476,
                "name": "Schmalstieg-1996-LOB-.png",
                "type": "image/png",
                "size": 132676,
                "path": "Publication:Schmalstieg-1996-LOB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-.png",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1996-LOB-paper.pdf",
                "type": "application/pdf",
                "size": 172645,
                "path": "Publication:Schmalstieg-1996-LOB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/Schmalstieg-1996-LOB-paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-LOB/",
        "__class": "Publication"
    },
    {
        "id": "Szalavari-1996-PIP",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Personal Interaction Panel - a Two-Handed Interface for\n                Augmented Reality",
        "date": "1996-09",
        "abstract": "This paper describes the introduction of a new interaction\nparadigm to augmented reality applications. The everyday\ntool handling experience of working with pen and notebooks\nis extended to create a three dimensional two-handed\ninterface, that supports easy-to-understand manipulation\ntasks in augmented and virtual environments. In the design\nstep we take advantage from the freedom, given by our very\nlow demands on hardware and augment form and functionality\nto this device. On the basis of examples from object\nmanipulation, augmented research environments and\nscientific visualization we show the generality of\napplicability. Although beeing in the first stages\nimplementation, we consider the wide spectrum of\n                suitability for different pourposes.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            234,
            249
        ],
        "number": "TR-186-2-96-20",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [
            "3D user interface",
            "augmented reality"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Szalavari-1996-PIP-paper.gz",
                "type": "application/octet-stream",
                "size": 481156,
                "path": "Publication:Szalavari-1996-PIP",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Szalavari-1996-PIP/Szalavari-1996-PIP-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Szalavari-1996-PIP/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1996-EC2",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploiting coherence in 2 1/2 D visibility computation",
        "date": "1996-07",
        "abstract": "In interactive 3-D graphics, the amount of geometric\nprimitives passed to the display algorithm frequently\nexceeds rendering capacity. Visibility computation is\nused to reduce the amount of geometry that must be\npassed to the rendering engine. In this paper we\npropose an algorithm that exploits coherence to\naccelerate visibility computation in 2 1/2D and can\nbe used for both, on-the-fly computation of\npotentially visible sets, and for accelerated\ngeneration of spans for a simple 2 1/2D rendering\n                engine.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            216
        ],
        "number": "TR-186-2-96-18",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "visibility computation",
            "coherence",
            "2 1/D visibility",
            "potentially visible set"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1996-EC2-paper.pdf",
                "type": "application/pdf",
                "size": 26541,
                "path": "Publication:Schmalstieg-1996-EC2",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-EC2/Schmalstieg-1996-EC2-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-EC2/",
        "__class": "Publication"
    },
    {
        "id": "schmalstieg-1996-IRN",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Rendering of Natural Phenomena with Directed\n                Cyclic Graphs",
        "date": "1996-04",
        "abstract": "This work proposes a compact representation of complex\nscenes for interactive rendering of natural phenomena.\nApplications include interactive design and modeling of\n                outdoor scenes for distributed virtual environments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            237,
            249
        ],
        "number": "TR-186-2-96-16",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "fractals",
            "virtual environments"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmalstieg-1996-IRN-paper.gz",
                "type": "application/octet-stream",
                "size": 10272,
                "path": "Publication:schmalstieg-1996-IRN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/schmalstieg-1996-IRN/schmalstieg-1996-IRN-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/schmalstieg-1996-IRN/",
        "__class": "Publication"
    },
    {
        "id": "schmalstieg-1996-SEC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "'Studierstube' - An Environment for Collaboration in\n                Augmented Reality",
        "date": "1996-04",
        "abstract": "We present an architecture for multi-user augmented\nreality. See-through HMDs allow shared experience of\nvirtual objects that do not suffer from restriction of\n                previous projection screen based approaches.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            204,
            234,
            249
        ],
        "number": "TR-186-2-96-17",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "virtual environments",
            "augmented reality",
            "collaboration"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "schmalstieg-1996-SEC-paper.gz",
                "type": "application/octet-stream",
                "size": 19801,
                "path": "Publication:schmalstieg-1996-SEC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/schmalstieg-1996-SEC/schmalstieg-1996-SEC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/schmalstieg-1996-SEC/",
        "__class": "Publication"
    },
    {
        "id": "loeffelmann-1996-CVA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Classifying the Visualization of Analytically Specified\n                Dynamical Systems",
        "date": "1996-04",
        "abstract": "In this paper we suggest a classification of visualization\ntechniques for analytically specified dynamical systems\ninto four different approaches.  We distinguish between local\nproperties, the topology of behavior, global properties, and\nclasses of dynamical systems with respect to various topics\nof visualization.  By presenting advanced visualization\ntechniques that we applied during three recent projects, we\ndiscuss their embedding within the classification scheme The\ndynamical systems visualized are the ``Dynastic Cycle'',\nwhich is a model for rise and fall of dynasties in ancient\nChina, the ``Wonderland'' model, that simulates the\ninteractions of population growth, economic activities, and\nenvironmental pollution, and a model for mixed-mode\n                oscillations, which occurs in chemistry. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166,
            165,
            190
        ],
        "number": "TR-186-2-96-15",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "loeffelmann-1996-CVA-paper.gz",
                "type": "application/octet-stream",
                "size": 3130702,
                "path": "Publication:loeffelmann-1996-CVA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/loeffelmann-1996-CVA/loeffelmann-1996-CVA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/loeffelmann-1996-CVA/",
        "__class": "Publication"
    },
    {
        "id": "loeffelmann-1996-SVM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Streamarrows: Visualizing Multiple Layers of\n                Streamsurfaces",
        "date": "1996-04",
        "abstract": "Occlusion is a crucial spatial cue for the human visual\nsystem. Painters as well as researchers in the field of\ncomputer graphics have been dealing with this aspect for a\nlong time. In the field of visualization occlusion can be\nespecially problematic. We present a new approach to\ndealing with streamsurfaces that occlude major parts of the\nsystem representation. Analyzing mixed-mode oscillations,\nwhich are a special class of analytically defined dynamical\nsystems, we came across geometrically complex streamsurfaces\nwith curly shape. Certain regions of these surfaces, that\nare necessary to describe the behavior of the system,\nocclude major parts of the model.  We combined and adopted\nseveral visualization techniques to deal with this problem.\nStreamarrows, which are semi-transparent portions of the\nstreamsurface, allow the viewer to see through and diminish\nthe problem of occlusion.  Cross-sections and the removal\nof certain portions of the model reduce occlusion as well\nand thus improve visual perception.  Choosing the shape of\nan arrow for segmentation allows to visualize even more\ninformation at the streamsurface, e.g., the direction of\nthe flow.  An anisotropic spot noise texture is further\nused to emphasize  flow within a streamsurface.  Finally\nanimation techniques were applied to facilitate the\ninterpretation of dynamical systems with complex shaped\n                streamsurfaces.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            184,
            166,
            190
        ],
        "number": "TR-186-2-96-12",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "flow visualization",
            "streamsurfaces",
            "complex dynamical systems",
            "mixed-mode oscillations"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "loeffelmann-1996-SVM-paper.gz",
                "type": "application/octet-stream",
                "size": 630255,
                "path": "Publication:loeffelmann-1996-SVM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/loeffelmann-1996-SVM/loeffelmann-1996-SVM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/loeffelmann-1996-SVM/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1996-CRS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Constant Radiance Term",
        "date": "1996-04",
        "abstract": "The proposed method accelerates the computation of\nmultiple interreflections in non-diffuse environments or\nthe solution of the rendering equation. The method is\nsuited for closed environments. It is a generalization of\nthe 'constant radiosity step' introduced for diffuse\nenvironments and does not require geometrical or\nvisibility information, nor the calculation of form\nfactors. A constant radiance is extracted from the\nsolution in every surface point and every direction. We\nchoose this constant value so that the average self\nemitted power of the residuum problem is zero. The self\nemitting term of the residuum problem can either be\npositive or negative. Direction dependency is determined\nby the albedo function of the characteristic BRDF of the\nsurface. This function can easily be pretabulated and it\nis used frequently throughout this paper. The residuum\nproblem can be solved faster or with reduced variance by\nall known non-diffuse methods: different versions of\ndistribution ray tracing, proper methods of radiosity,\nand hybrid solutions. The acceleration achieved by the\n                proposed method can be significant for bright environments.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177
        ],
        "number": "TR-186-2-96-13",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "radiosity",
            "constant radiance step"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-1996-CRS-paper.gz",
                "type": "application/octet-stream",
                "size": 94954,
                "path": "Publication:Neumann-1996-CRS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-CRS/Neumann-1996-CRS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-CRS/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1996-HSA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Hierarchical Subdivision Algorithm for Stochastic\n                Radiosity Methods",
        "date": "1996-04",
        "abstract": "Stochastic radiosity methods have become a standard tool for\ngenerating global illumination solutions for very large\nscenes. Unfortunately, these methods need scene\ndescriptions that are premeshed to a very fine resolution,\nin order to compute an adequate solution of the global\nillumination. The algorithm proposed in this paper uses a\nstochastic Galerkin approach to incrementally calculate\nthe illumination function. By tracking the illumination\nfunction at different levels of resolution it is possible\nto get a measure for the quality of the representation,\nand thus adaptively subdivide in places with inadequate\naccuracy. With this technique a hierarchical mesh is\ngenerated, that is based on the stochastic evaluation of\n                global illumination.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            245,
            190,
            192
        ],
        "number": "TR-186-2-96-14",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "radiosity",
            "stochastic",
            "Monte Carlo",
            "hierarchical",
            "Galerkin",
            "density estimation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1996-HSA-paper.gz",
                "type": "application/octet-stream",
                "size": 988460,
                "path": "Publication:Tobler-1996-HSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Tobler-1996-HSA/Tobler-1996-HSA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Tobler-1996-HSA/",
        "__class": "Publication"
    },
    {
        "id": "wegenkittl-1996-GTW",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Guided Tour to Wonderland: Visualizing the Slow-Fast\n                Dynamics of an Analytical Dynamical System",
        "date": "1996-04",
        "abstract": "The analysis of complex dynamical systems produces large\namounts of data that have to be interpreted efficiently.\nVisualizing the phase space of such systems illustrates\ngeometrically the behavior of the underlying dynamics. This\nwork investigates the visualization of Wonderland, a four\ndimensional econometric model, which describes interactions\nbetween population growth, economic activity and\nenvironmental implications. Wonderland belongs to a class\nof interesting dynamical systems with a pronounced\nslow-fast dynamics, i.e., some variables are changing much\nfaster than others. Furthermore the behavior of the\nWonderland model is characterized by manifolds which are\nnot streamsurfaces, i.e., the flow does not stay within\nthese surfaces. This paper discusses the application and\nadaptation of various visualization techniques to\nanalytical dynamical systems with special properties as\n                mentioned above.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            165,
            166,
            190
        ],
        "number": "TR-186-2-96-11",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "vector field visualization",
            "complex dynamical systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wegenkittl-1996-GTW-paper.gz",
                "type": "application/octet-stream",
                "size": 383838,
                "path": "Publication:wegenkittl-1996-GTW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/wegenkittl-1996-GTW/wegenkittl-1996-GTW-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/wegenkittl-1996-GTW/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1996-SMU",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Studierstube - A Multi-User Augmented Reality Environment\n                for Visualization and Education",
        "date": "1996-03",
        "abstract": "We propose an architecture for augmented reality\napplications. Three-dimensional stereoscopic graphics\nis presented to group of users wearing light weight\nsee-through displays simultaneously. Individuals can\nindependently control their viewpoint, and configure the\ndisplayed data to their likings and needs. As everybody\nsees the same model, and at the same time users see each\nother, working together is very effective. Numerous\napplications are possible, mostly for information\nvisualization and education purposes. To support our claims,\nwe describe the client server software architecture\nunderlying this system, and some of the details of technical\ndetails that must be addressed to create a high-quality\n                augmented reality setting.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            202,
            234,
            425,
            426,
            427
        ],
        "number": "TR-186-2-96-10",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "augmented reality",
            "multi-user applications",
            "distributed graphics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "gervautz-1996-SMU-paper.gz",
                "type": "application/octet-stream",
                "size": 47582,
                "path": "Publication:gervautz-1996-SMU",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/gervautz-1996-SMU/gervautz-1996-SMU-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/gervautz-1996-SMU/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1996-ACE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Autostereograms - Classification and Experimental\n                Investigations",
        "date": "1996-03",
        "abstract": "One important branch in computer graphics is the research\nfor representing three-dimensional objects. Many different\ntechniques have been developed to convey to a user of a\ntwo-dimensional medium that he sees a three-dimensional\nscene. Apart from realistic image synthesis, e.g., ray\ntracing and radiostiy, there are techniques which try to\ngenerate a real three-dimensional impression for the viewer.\nIn the last years a new technique to produce such pictures\nhas gained popularity. The generated images are called\nautostereograms. An interesting feature with this technique\nis, that only single pictures have to be produced and that\nno additional equipment is needed to produce a three\ndimensional impression. Therefore autostereograms are also\ncalled 'single image stereograms' (SIS). This work gives an\noverview on the technique of autostereograms. After a short\ndescription of the algorithms to generate autostereograms a\ndetailed classification is introduced. After that the\nperceptability of autostereograms and software related to\nthe topic is discussed. Moreover, experiments with animated\nautostereograms will be presented. Finally some experiments\nconcerning the usage and change of colors in autostereograms\nand the combination of two depth-scenes within one image\n                will be discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            428,
            166
        ],
        "number": "TR-186-2-96-09",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "Autostereograms"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1996-ACE-paper.gz",
                "type": "application/octet-stream",
                "size": 273025,
                "path": "Publication:groeller-1996-ACE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/groeller-1996-ACE/groeller-1996-ACE-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/groeller-1996-ACE/",
        "__class": "Publication"
    },
    {
        "id": "Matkovic-1996-ICM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Calibration of the Mapping of Global\n\t\t  Illumination Values to Display Devices",
        "date": "1996-03",
        "abstract": "A different approach to mapping the global illumination\nvalues to display devices is introduced. The final\nimage is displayed with appropriate atmosphere,\nthereby the luminances in absolute units are not\nneeded, what makes the method suitable for a wide\nrange of rendering software. The method is inspired\nby the photographersÕ approach. The results strongly\ndepend on user setting, thus making the method\n\t\t  completely subjective.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            235,
            177
        ],
        "number": "TR-186-2-96-07",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "color mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Matkovic-1996-ICM-paper.gz",
                "type": "application/octet-stream",
                "size": 596945,
                "path": "Publication:Matkovic-1996-ICM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Matkovic-1996-ICM/Matkovic-1996-ICM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Matkovic-1996-ICM/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1996-AEC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Automatic Exposure in Computer Graphics based on the\n\t\t Minimum Information Loss Principle",
        "date": "1996-03",
        "abstract": "The available contrast of common display devices is\nmuch lower than image data often demand. Usually a\nvariant of an average of the field of view is used\nto normalize the image. In this paper an alternative\napproach will be taken to define the mapping of\nrendered values to the displayable intensity range.\nThe luminance range is chosen such that a minimum\namount of information is lost, thereby preserving\nthe contrast ratio of all correctly displayed\nparts. The loss of information can be regulated by\ndifferent error functions. The introduced method\n\t\t  can be applied on the color and gray scale images",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            235,
            190
        ],
        "number": "TR-186-2-96-08",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "color mapping"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-1996-AEC-paper.gz",
                "type": "application/octet-stream",
                "size": 680366,
                "path": "Publication:Neumann-1996-AEC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-AEC/Neumann-1996-AEC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Neumann-1996-AEC/",
        "__class": "Publication"
    },
    {
        "id": "mazuryk-1996-VRH",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Virtual Reality History, Applications, Technology and\n                Future",
        "date": "1996-02",
        "abstract": "Virtual Reality (VR), sometimes called Virtual\nEnvironments (VE) has drawn much attention in the last few\nyears. Extensive media coverage causes this interest to\ngrow rapidly. Very few people, however, really know what\nVR is, what its basic principles and its open problems are.\nIn this paper a historical overview of virtual reality is\npresented, basic terminology and classes of VR systems are\nlisted, followed by applications of this technology in\nscience, work, and entertainment areas. An insightful\nstudy of typical VR systems is done. All components of VR\napplication and interrelations between them are thoroughly\nexamined: input devices, output devices and software.\nAdditionally human factors and their implication on the\ndesign issues of VE are discussed. Finally, the future of\nVR is considered in two aspects: technological and social.\nNew research directions, technological frontiers and\npotential applications are pointed out. The possible\npositive and negative influence of VR on life of average\n                people is speculated.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            238,
            249
        ],
        "number": "TR-186-2-96-06",
        "pages_from": "1",
        "pages_to": "72",
        "research_areas": [],
        "keywords": [
            "Virtual Reality",
            "history of VR",
            "applications of VR",
            "technology of VR",
            "future of VR"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "mazuryk-1996-VRH-paper.pdf",
                "type": "application/pdf",
                "size": 3028188,
                "path": "Publication:mazuryk-1996-VRH",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/mazuryk-1996-VRH/mazuryk-1996-VRH-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/mazuryk-1996-VRH/",
        "__class": "Publication"
    },
    {
        "id": "Traxler-1996-CTB",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Calculation of Tight Bounding Volumes for Cyclic CSG-Graphs",
        "date": "1996-01",
        "abstract": "This paper describes how to adapt conventional optimization\ntechniques to cyclic CSG graphs, which are a compact\nrepresentation for the ray tracing of objects defined by\nparallel rewriting systems. For CSG trees a hierarchy of\nbounding volumes is buildt up by a simple recursive algorithm.\nA straight forward transition of this algorithm to CSG graphs\nyields to very huge and thus useless bounding volumes. In this\npaper we introduce an algorithm which calculates tight\nbounding volumes for the nodes of cyclic CSG graphs. This\nmethod can also be applied to CSG trees with explicit\n                transformation nodes or CSG dags.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            249
        ],
        "number": "TR-186-2-96-03",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "CSG Graphs",
            "Bounding Volumes",
            "Ray Tracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Traxler-1996-CTB-paper.gz",
                "type": "application/octet-stream",
                "size": 77960,
                "path": "Publication:Traxler-1996-CTB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Traxler-1996-CTB/Traxler-1996-CTB-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Traxler-1996-CTB/",
        "__class": "Publication"
    },
    {
        "id": "Traxler-1996-GAI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Genetic Algorithms to Improve the Visual Quality of                Fractal Plants Generated with CSG-PL-Systems",
        "date": "1996-01",
        "abstract": "PL-systems are a powerful and flexible technique for plant\nmodeling. Unfortunately it is a hard task to specify a\nPL-system, that generates a desired plant. Especially the\ntuning of the parameter values is time consuming and demands\na lot of experience from the user. In this paper we describe\nhow to apply genetic algorithms to CSG-PL-systems, which are\na special class of PL-systems. A decomposition of\nCSG-PL-systems is introduced to extract those parts, which\ncan serve as genotype. Mutation and mating, the two major\noperations of evolution techniques, are applied to this data\nset. With the described method it is possible to find easily\nnatural looking individuals out of a species that is\n                described in an abstract way by the underlying CSG-PL-system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            249
        ],
        "number": "TR-186-2-96-04",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "Genetic algorithms",
            "artificial evolution",
            "CSG-PL-systems",
            "natural phenomena"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Traxler-1996-GAI-paper.gz",
                "type": "application/octet-stream",
                "size": 335693,
                "path": "Publication:Traxler-1996-GAI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Traxler-1996-GAI/Traxler-1996-GAI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Traxler-1996-GAI/",
        "__class": "Publication"
    },
    {
        "id": "Schaufler-1996-HFI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "High Fidelity for Immersive Displays",
        "date": "1996-01",
        "abstract": "Head-tracked immersive displays suffer from lag and\nnon-uniform frame rates. A novel rendering architecture\nis proposed that combines head prediction with dynamic\nimpostors for 3-D image correction and achieves bounded\n                frame rates and significantly reduced lag.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            422,
            238,
            202
        ],
        "number": "TR-186-2-96-02",
        "pages_from": "1",
        "pages_to": "2",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "head tracking",
            "immersion",
            "lag",
            "prediction",
            "uniform frame rates",
            "impostors"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schaufler-1996-HFI-paper.gz",
                "type": "application/octet-stream",
                "size": 19066,
                "path": "Publication:Schaufler-1996-HFI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schaufler-1996-HFI/Schaufler-1996-HFI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schaufler-1996-HFI/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1996-DDG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Demand-Driven Geometry Transmission for Distributed\n                Virtual Environments",
        "date": "1996-01",
        "abstract": "We present a strategy for rendering in distributed virtual\nenvironments. A geometry database is maintained by a server,\nwhile user invoke individual clients to interact with the\nenvironment. Instead of downloading a complete copy of the\ngeometry data, the data is distributed on demand, thus\ngaining significant savings in network bandwidth. Our strategy\ncombines several techniques, including levels of detail,\nprogressive refinement and graceful degradation to deliver\nthe data 'just in time' over the network to the rendering\nprocess. The method allows operate on a tight resource budget,\nwhich important if attempting to use low cost systems for\n                virtual reality applications.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249
        ],
        "number": "TR-186-2-96-01",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "distributed graphics",
            "multi-user applications",
            "levels of detail"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1996-DDG-paper.pdf",
                "type": "application/pdf",
                "size": 99527,
                "path": "Publication:Schmalstieg-1996-DDG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-DDG/Schmalstieg-1996-DDG-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Schmalstieg-1996-DDG/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1996-avn",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Analysis and Visualization of Nonlinear Time Sequences",
        "date": "1996-01",
        "abstract": "During the last years there has been a considerable\nincrease in the interest in nonlinear dynamical systems.\nMore and more scientists apply nonlinear techniques to\nanalyze their data sets which are often given as discrete\ntime sequences. This paper gives a short overview on\nnonlinear systems and time sequences resulting from such\nnonlinear systems. The concept of attractors is explained\nand Poincare maps are described. The analysis of time\nsequences is discussed with respect to applying\nvisualization techniques as steering tools in the\ninvestigation process. Because discrete time sequences\nresulting from measurements are typically affected by noise\na signal - noise separation has to be done. The method of\ntime delays is then subsequently used for phase-space\nreconstruction. Important numbers to characterize dynamical\nsystems are fractal dimension and Lyapunov exponents. These\nconcepts are therefore treated as well. A low cost\nvisualization system (AVTS) was implemented which is\ndesigned to specifically support a researcher in his\ninvestigation of nonlinear time sequences. Emphasis has\nbeen put on handling of large data sets, as well as fast\ninteractive manipulation and visual representation of time\nsequences. The visual inspection with AVTS allows the\nresearch to quickly focus his investigation on interesting\n                portions of the data.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            429,
            166
        ],
        "number": "TR-186-2-96-05",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "Visualization",
            "Time Sequences",
            "Nonlinearity",
            "Fractal Dimension"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1996-avn-paper.gz",
                "type": "application/octet-stream",
                "size": 443391,
                "path": "Publication:groeller-1996-avn",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/groeller-1996-avn/groeller-1996-avn-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/groeller-1996-avn/",
        "__class": "Publication"
    },
    {
        "id": "Ferschin-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Two-Pass Radiosity Method for CSG Models",
        "date": "1996",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "date_end": "1996",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Ferschin-thesis/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1996",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1996",
        "date": "1996",
        "abstract": "Die Weihnachtsmänner wurden mit kommerzieller 3D-Software und der Hintergrund mit am Institut entwickelter Stereogramm-Software berechnet. Betrachten Sie den Bildschirm aus etwa 20-30 cm Entfernung, und versuchen Sie, unfokussiert mit entspannten Augen \"durch\" den Schirm hindurchzuschauen. Nach einiger Zeit stellen sich Ihre Augen scharf, und Sie sollten die Weihnachts-männer im Raum schweben sehen. Versuchen Sie dann auch das 3D-Bild im Hintergrund zu erkennen!\n\nThe image was rendered using commercial software for the Santas and in-house developed stereogram software for the background. View the picture from a distance of 20-30 cms (approx. 10\") and try to look \"through\" the screen, letting your eyes focus slowly. After a while you should be able to see the Santas floating in front of the screen. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 768,
            "image_height": 531,
            "name": "xmas-1996-image.tiff",
            "type": "image/tiff",
            "size": 1157950,
            "path": "Publication:xmas-1996",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image.tiff",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            204
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 768,
                "image_height": 531,
                "name": "xmas-1996-image.tiff",
                "type": "image/tiff",
                "size": 1157950,
                "path": "Publication:xmas-1996",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-image:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "one head",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 200,
                "image_height": 150,
                "name": "xmas-1996-one head.gif",
                "type": "image/gif",
                "size": 27120,
                "path": "Publication:xmas-1996",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-one head.gif",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-one head:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "santa klex",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "image_width": 656,
                "image_height": 850,
                "name": "xmas-1996-santa klex.jpg",
                "type": "image/jpeg",
                "size": 76197,
                "path": "Publication:xmas-1996",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-santa klex.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/xmas-1996-santa klex:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/xmas-1996/",
        "__class": "Publication"
    },
    {
        "id": "Mazuryk-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Prediction Techniques",
        "date": "1996",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            238
        ],
        "date_end": "1996",
        "supervisor": [
            249
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Mazuryk-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Sramek-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Volumetric Data by Ray Tracing",
        "date": "1996",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            170
        ],
        "date_end": "1996",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Sramek-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Aram-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Der Vierphasen-Wegsuchalgorithmus zur Berechnung von Rohrleitungsführungen im Anlagenbau",
        "date": "1996",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            239
        ],
        "date_end": "1996",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1996/Aram-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Faisstnauer-1995-TLH",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tracker Library: Handling VR Input Devices",
        "date": "1995-12",
        "abstract": "When building immersive virtual environments, it is\nnecessary to track the user´s head to determine its\ndirection of gaze, as well as other parts of the\nbody, for example hands to allow interaction.\nTherefore a tracking device is needed. Trackers\nusually consist of a stationary part, called\nemitter, and one or more small movable parts, called\nreceivers or sensors, which are mounted on the\npoints to track and whose position and orientation\ncan be determined by the tracking device.\nThe Tracker Library, described in this paper, is a\ndevice driver that allows to easy configure the\ntracker and retrieve the position and orientation\n\t\t  data required.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            230,
            238
        ],
        "number": "TR-186-2-95-18",
        "pages_from": "1",
        "pages_to": "21",
        "research_areas": [],
        "keywords": [
            "virtual environments",
            "tracking"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Faisstnauer-1995-TLH/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1995-AAC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "ACSGM -- An adaptive CSG meshing algorithm",
        "date": "1995-12",
        "abstract": "We present a new algorithm, called ACSGM (which is short\nfor Adaptive CSG Mesher), that converts scenes in CSG\nrepresentation into a boundary representation composed of\ntriangles. The algorithm is based on the marching cubes\nalgorithm, but instead of working at a fixed resolution, the\nsize of the cubes used in the meshing process is changed\nadaptively. While the marching cubes algorithm, which\ncalculates the vertices of the triangles of the final mesh\nusing linear interpolation, ACSGM uses ray casting for this\ncomputation. This approach not only produces exact vertices\nbut provides some additional information (e.g.\\ the normal\nvectors in these vertices) that can be used to generate a\nmore accurate approximation of the CSG object by the final\n                mesh.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            437,
            190
        ],
        "number": "TR-186-2-95-13",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "CSG",
            "meshing",
            "hierarchical"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1995-AAC-paper.gz",
                "type": "application/octet-stream",
                "size": 61934,
                "path": "Publication:Tobler-1995-AAC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Tobler-1995-AAC/Tobler-1995-AAC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Tobler-1995-AAC/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1995-GOW",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Geometry of Wonderland",
        "date": "1995-12",
        "abstract": "We analyze Wonderland - a model of demographic,economic\nand environmental interactions\n- by combining numerical simulations with basic ideas of\ngeometric singular perturbation theory. This theory dealing\nwith slow-fast dynamical systems  helps us to gain new\ninsights into the system's behaviour. We give conditions\nfor the occurrence of rapid environmental changes in\nWonderland. Since the chosen approach is inherently geometric\n\t\twe also focus on the visualization of our results.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            165,
            417,
            430,
            431,
            432
        ],
        "number": "TR-186-2-95-17",
        "pages_from": "1",
        "pages_to": "21",
        "research_areas": [],
        "keywords": [
            "dynamical system",
            " visualization"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1995-GOW-paper.gz",
                "type": "application/octet-stream",
                "size": 781751,
                "path": "Publication:Groeller-1995-GOW",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-GOW/Groeller-1995-GOW-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-GOW/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1995-SDC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation und Darstellung computergenerierter Strickware",
        "date": "1995-11",
        "abstract": "In Computer Graphics a boundary representation of objects\nis often used to generate realistic synthetic images. For\ncertain objects it is more suitable to use a volume\nrepresentation. In this paper  we investigate the\nvisualization of   knitting patterns where the details\nof the yarn were modeled by voxel data. The visualization\nand the modeling of textiles has already been investigated\nin depth in the computer graphics literature. However most\nof the publications consider woven fabrics.  In the case of\nknitwear the topological specification of the knitting\npattern allows a subdivision into basic elements. The thread\ncourse and the microstructure of the yarn are then\napproximated by  voxel data. The periodic structure of\nknitting patterns allows for a compact representation and\nan efficient rendering. The generated images demonstrate the\n\t\tpossible realistic simulations. ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            433,
            434
        ],
        "number": "TR-186-2-95-15",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [
            "knitwear",
            "volume visualization",
            "textile modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1995-SDC-paper.gz",
                "type": "application/octet-stream",
                "size": 952940,
                "path": "Publication:Groeller-1995-SDC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-SDC/Groeller-1995-SDC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-SDC/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1995-BGD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "BABEL: A Generic Data structure for Geometric Modeling",
        "date": "1995-11",
        "abstract": "We present a basic data structure for geometric data which\ncan be adapted to represent common geometry representations\nlike CSG, BSP, aso. The new data structure has been designed\nto be easy to use, and easy to extend. Due to the\nrepresentation of geometric data using a directed acyclic\ngraph, a number of the standard rendering algorithms can be\nused on the data structure in a very straightforward way.\nThe new data structure has been implemented as a C++ library\nand can therefore serve as high-level tool for developing\ngraphics applications, or as an extension for using C++ as a\n                modeling language.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            399,
            437,
            190
        ],
        "number": "TR-186-2-95-07",
        "pages_from": "1",
        "pages_to": "7",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [
            "data structure",
            "C++",
            "geometric modeling"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1995-BGD-paper.gz",
                "type": "application/octet-stream",
                "size": 20632,
                "path": "Publication:Tobler-1995-BGD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Tobler-1995-BGD/Tobler-1995-BGD-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Tobler-1995-BGD/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1995-LWB",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Lossless Wavelet Based Image Compression with Adaptive 2D\n                 Decomposition",
        "date": "1995-11",
        "abstract": "2D wavelets are usually generated from 1D wavelets through\nthe rectangular or through the square decomposition scheme.\nIn this paper a new adaptive 2D decomposition scheme for\ncompression related applications is presented. The adaptive\n2D decomposition selects 2D wavelet functions based on the\ncompression of the coefficients, but needs only the same\nnumber of 1D filter operations as the rectangular\ndecomposition for the compression and even less for the\ndecompression. Results for lossless image compression have\nshown improvements in the compression rate between 1% and 10%\ncompared to the square decomposition. Only in the case of\nvery small images (below 50x50) the adaptive decomposition\nwas outperformed by the square decomposition because of the\noverhead to store the selection, which 2D wavelets should\n                be used.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413
        ],
        "number": "TR-186-2-95-11",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "image compression",
            "wavelets",
            "adaptive 2D wavelet decomposition"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kopp-1995-LWB-paper.pdf",
                "type": "application/pdf",
                "size": 86974,
                "path": "Publication:Kopp-1995-LWB",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Kopp-1995-LWB/Kopp-1995-LWB-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Kopp-1995-LWB/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1995-CHI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Constructing a Highly Immersive Virtual Environment: A\n\t\tCase Study",
        "date": "1995-11",
        "abstract": "Virtual reality (VR) applications raise enormous interest\ninside and outside computer science. Unfortunately, VR\nsystems are rather complex, involving many software and\nhardware modules being integrated. Theoretical papers are\nnot always of much aid in the actual implementation of VR\napplications. We try to fill this gap with a case study on\na simple example VR system, that is used to demonstrate\nthe most important aspects of a VR implementation, including\napplication design, implementation strategy, selection of\nhardware and software, rendering, tracking and display\ntechnology. Special attention is paid to practical issues\nthat are usually only learned by experience, and on the\ndiscussion of devices and methods that are inexpensive and\n\t\treadily available.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            230,
            238
        ],
        "number": "TR-186-2-95-12",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "virtual environment",
            "immersion",
            "case study"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1995-CHI-paper.gz",
                "type": "application/octet-stream",
                "size": 94115,
                "path": "Publication:Schmalstieg-1995-CHI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-CHI/Schmalstieg-1995-CHI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-CHI/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1995-OCD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimizing Communication in Distributed Virtual Environments\n\t\tby Specialized Protocols",
        "date": "1995-11",
        "abstract": "We present a set of protocols designed to be used for\nspecial communication needs in client-server based virtual\nenvironments. They address simulation, animation, interaction\nand VE authoring, and can be combined as needed for multiple\nlevels of participation in the VE. Separating these tasks in\ndifferent optimized protocols leads to more efficiency in\n\t\tusing the given bandwidth of todays computer networks.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249,
            435
        ],
        "number": "TR-186-2-95-14",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "virtual reality",
            "virtual environments",
            "communication",
            "network protocols",
            "distributed graphics",
            "client-server architectures"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1995-OCD-paper.gz",
                "type": "application/octet-stream",
                "size": 44829,
                "path": "Publication:Schmalstieg-1995-OCD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-OCD/Schmalstieg-1995-OCD-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-OCD/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1995-IGC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing Gibsonian Virtual Environments",
        "date": "1995-10",
        "abstract": "We speculate on the possibilities for a realization of the\nidea of a three-dimensional Cyberspace, as sketched in\nthe novels of William Gibson using today's technology.\nVirtual reality and global networks such as the Internet\ntogether can provide the fundamentals for such an effort.\nFrom an examination of the technological principles of a\nGibsonian virtual environment, we conclude what properties\nsuch an implementation must have. An implementation of a\nsystem with these properties faces a number of problems in\nthe large and in the small; especially, the semantics of\nthe virtual environment and its inhabitants must be defined.\nWe also report on our ongoing implementation of a prototype\nsoftware system which was designed to evaluate the\n\t\tfeasibility of these ideas.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249
        ],
        "number": "TR-186-2-95-10",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "virtual environments",
            "Cyberspace"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1995-IGC-paper.gz",
                "type": "application/octet-stream",
                "size": 19142,
                "path": "Publication:Schmalstieg-1995-IGC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-IGC/Schmalstieg-1995-IGC-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-IGC/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1995-comp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Animation and Visualization - Current Status and Trends",
        "date": "1995-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            202
        ],
        "booktitle": "Proceedings of EUROSIM",
        "location": "Vienna, Austria",
        "note": "TALK: M. Gervautz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/gervautz-1995-comp/",
        "__class": "Publication"
    },
    {
        "id": "jankovic-1995-heter",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Heterogenous Morphing of Multimodal Medical Information",
        "date": "1995-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            444,
            482,
            166
        ],
        "booktitle": "Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns",
        "date_from": "1995-09-06",
        "date_to": "1995-09-08",
        "editor": "Hlavac, Vaclav; Sara, Radim",
        "isbn": "3-540-60268-2",
        "location": "Prague, Czech Republic",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/jankovic-1995-heter/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1995-effi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Collision Detection for General CSG Objects",
        "date": "1995-08",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244,
            190,
            249
        ],
        "booktitle": "Computer Animation' 95",
        "editor": "D. Thalmann, D. Terzopoulos",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/zeiller-1995-effi/",
        "__class": "Publication"
    },
    {
        "id": "mazuryk-1995-two",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two-Step Prediction and Image Deflection for Exact Head-Tracking in Virtual Environments",
        "date": "1995-08",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            238,
            249
        ],
        "booktitle": "Proceedings of Eurographics",
        "date_from": "1995-08-28",
        "date_to": "1995-08-29",
        "location": "Maastricht, Holland",
        "note": "TALK: T. Mazuryk 30.8.1995",
        "pages_from": "29",
        "pages_to": "41",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/mazuryk-1995-two/",
        "__class": "Publication"
    },
    {
        "id": "neumann-1995-anew",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Stochastic Radiosity Method for Highly Complex Scenes",
        "date": "1995-08",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            245,
            413,
            190
        ],
        "booktitle": "In Photorealistic Rendering Techniques",
        "editor": "G. Sakas, P. Shirley, S. Müller",
        "isbn": "3540584757",
        "pages_from": "201",
        "pages_to": "213",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/neumann-1995-anew/",
        "__class": "Publication"
    },
    {
        "id": "Mazuryk-1995-ZRA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Zoom Rendering: Accelerating 3-D Rendering Performance\n                With 2-D Operations",
        "date": "1995-07",
        "abstract": "We propose a new method to accelerate rendering during the\ninteractive visualization of complex scenes. The method is\napplicable if the cost of per-pixel processing is high\ncompared to simple frame buffer transfer operations, as\nsupported by low-end graphics systems with high-performance\nCPUs or 2-D graphics accelerators. In this case rendering\nan appropriately down-scaled image and then enlarging it\nallows a trade-off of rendering speed and image quality.\nUsing this method, more uniform frame rates can be achieved,\n\t\tand the dynamic viewing error can be reduced.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            238,
            202,
            249
        ],
        "number": "TR-186-2-95-09",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "zoom rendering",
            "2-D accelerators",
            "BitBlt",
            "Level of Detail",
            "rendering pipeline"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Mazuryk-1995-ZRA-paper.gz",
                "type": "application/octet-stream",
                "size": 62333,
                "path": "Publication:Mazuryk-1995-ZRA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Mazuryk-1995-ZRA/Mazuryk-1995-ZRA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Mazuryk-1995-ZRA/",
        "__class": "Publication"
    },
    {
        "id": "neumann-1995-cons",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Constant Radiosity Step",
        "date": "1995-07",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            216,
            439
        ],
        "booktitle": "Rendering Techniques",
        "editor": "P. Hanrahan, W. Purgathofer",
        "location": "Wien, Austria",
        "note": "TALK: R. Tobler 13.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/neumann-1995-cons/",
        "__class": "Publication"
    },
    {
        "id": "Schmalstieg-1995-TVE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Towards a virtual environment for interactive world building",
        "date": "1995-06",
        "abstract": "We propose an architecture for virtual environments that\nis aimed at the construction of a continuous global\ninformation space. Persistent simulation engines with freely\nprogrammable content are the key to achieve this goal. Our\napproach is based on a hybrid client-server/peer-to-peer\nnetwork: simulation data is maintained on a server that is\nresponsible for a region of the virtual environment. The\nserver exchanges information with neighboring servers, and\nallows users to participate in the environment through\nclients. The database is composed of object-oriented\nautonomous actors that communicate with each other by message\n\t\tpassing.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249
        ],
        "number": "TR-186-2-95-08",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "distributed virtual environments",
            "simulation",
            "client-server systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Schmalstieg-1995-TVE-paper.gz",
                "type": "application/octet-stream",
                "size": 29866,
                "path": "Publication:Schmalstieg-1995-TVE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-TVE/Schmalstieg-1995-TVE-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Schmalstieg-1995-TVE/",
        "__class": "Publication"
    },
    {
        "id": "schmalstieg-1995-system",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "On System Architectures for Virtual Environments",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202,
            249
        ],
        "booktitle": "Proceedings of the 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "note": "TALK: D. Schmalstieg 30.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/schmalstieg-1995-system/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1995-gen",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Generating Semi-Stochastic Threshold Matrices for Ordered Dithering",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            441
        ],
        "booktitle": "Proceedings of 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "note": "TALK: W. Purgathofer 30.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/purgathofer-1995-gen/",
        "__class": "Publication"
    },
    {
        "id": "elias-1995-view",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "View Dependent Solution for Monte Carlo Progressive Refinement Radiosity",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            439,
            232,
            190
        ],
        "booktitle": "Proceedings of 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/elias-1995-view/",
        "__class": "Publication"
    },
    {
        "id": "traxler-1995-clac",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Calculation of tight bounding volumes for cyclic CSG-graphs",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237,
            249
        ],
        "booktitle": "Proceedings of 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "note": "TALK: C. Traxler",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/traxler-1995-clac/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-red",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Reducing Shadow Leaks without Explicit Meshing",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            481
        ],
        "booktitle": "Proceedings of the 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "note": "TALK: M. Feda 30.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-red/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-visual",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving the Visual Quality of Intermediate Radiosity Images",
        "date": "1995-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Proceedings of the 11th Spring Conference on Computer Graphics",
        "date_from": "1995-05-29",
        "date_to": "1995-06-03",
        "location": "Bratislava, Slovakia",
        "note": "TALK: 30.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-visual/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1995-CCG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in Computer Graphics",
        "date": "1995-03",
        "abstract": "Coherence denotes similarities between items or entities.\nIt describes the extent to which these items or entities\nare locally constant. An introduction to coherence and a\nsurvey of various types of coherence, that are used in\ncomputer graphics, are given. Techniques and data\nstructures for exploiting coherence in computer graphics\nare described. Incremental techniques, bounding volume\nschemes, subdivision techniques and several geometric data\nstructures are discussed in more detail. Applications of\ncoherence principles to computer graphics are treated and\n\t\ta survey of previous research is done.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "number": "TR-186-2-95-04",
        "pages_from": "1",
        "pages_to": "19",
        "research_areas": [],
        "keywords": [
            "coherence",
            "computer graphics",
            "incremental techniques",
            "bounding volumes",
            "subdivision"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1995-CCG-paper.gz",
                "type": "application/octet-stream",
                "size": 25837,
                "path": "Publication:Groeller-1995-CCG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-CCG/Groeller-1995-CCG-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-CCG/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1995-RTE",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray Tracing with Extended Cameras",
        "date": "1995-03",
        "abstract": "This paper presents an extension of the camera module for ray\ntracers.  As an alternative to the standard pinhole camera an\nAbstract Camera Machine is introduced, which represents a\ngeneralization of the camera module at an abstract level.  The\nAbstract Camera Machine itself is based on simple\ntransformations and mappings, which are chosen from a large\nset of representatives. They are integrated as sub-modules\nto complete the camera mapping procedure, which generates\nrays out of image locations (pixels). Depending on what type\nof transformations are used, many different extended cameras\ncan be built.  The structure of the Abstract Camera Machine\nand an overview of the transformations and mappings are\ngiven. Some results, which were rendered by using a public\ndomain ray tracer in combination with the extended cameras,\nare presented as well.  They show the feasibility of this\napproach and give an impression of the areas of application\nfor this extension to the camera module.  Using extended\ncameras it is easily possible to produce special and artistic\neffects, e.g., a local zoom of especially interesting\nregions. Overviews of given scenes can be modelled and\nseveral views of the same object can be integrated into one\npicture, e.g., a building could be shown from the inside\n\t\t and the outside simultaneously.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166
        ],
        "number": "TR-186-2-95-06",
        "pages_from": "1",
        "pages_to": "18",
        "research_areas": [],
        "keywords": [
            "Ray Tracing",
            "Camera Model",
            "Projections",
            "Image Distortions"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1995-RTE-paper.gz",
                "type": "application/octet-stream",
                "size": 656250,
                "path": "Publication:Loeffelmann-1995-RTE",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Loeffelmann-1995-RTE/Loeffelmann-1995-RTE-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Loeffelmann-1995-RTE/",
        "__class": "Publication"
    },
    {
        "id": "Acquisto-1995-DCR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Distortion Camera for Ray Tracing",
        "date": "1995-03",
        "abstract": "Ray tracing is a powerful technique for realistic image\ngeneration. Typically a simple camera definition is used,\nwhereby a 3D environment is mapped onto an image plane\neither by an orthographic or perspective projection. The\nconcept of the usual simple camera definition is extended\nin several ways to achieve distorted views or projections\nof the object scene. The origins of primary rays are not\nrequired to lie on a plane anymore. Thus projections onto\ncurved image surfaces are possible. The directions of\nprimary rays may be chosen according to various nonlinear\nfunctions that allow nonstandard projections of the\nenvironment. The concept of centers of interest (coins) is\nintroduced that enables to concentrate on especially\ninteresting portions of object space. A center of interest\nis a 3D position that either distorts (attracts) a portion\nof the image surface or locally influences the directions\nof primary rays. The results of a test implementation are\npresented to show the feasibility of the methods presented.\nSeveral applications of distorted images are: creating\nelemental holographic images and raster omnimax images,\n\t\tvirtual reality and arts.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            438,
            166
        ],
        "number": "TR-186-2-95-05",
        "pages_from": "",
        "pages_to": "",
        "research_areas": [],
        "keywords": [
            "ray tracing",
            "distortion camera",
            "projection",
            "image generation"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Acquisto-1995-DCR-paper.gz",
                "type": "application/octet-stream",
                "size": 128941,
                "path": "Publication:Acquisto-1995-DCR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Acquisto-1995-DCR/Acquisto-1995-DCR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Acquisto-1995-DCR/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-spee",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Speeding Up Progressive Radiosity by Overshooting",
        "date": "1995-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Proceedings of the Winter School of Computer Graphics and Visualization (WSCG)",
        "date_from": "1995-02-14",
        "date_to": "1995-02-18",
        "location": "Plzen, Czech Republic",
        "note": "TALK: R. Tober",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-spee/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-attract",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Attract - Interactive Visualization of Dynamical Systems",
        "date": "1995-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            442
        ],
        "journal": "Proceedings of WSCG'95",
        "pages_from": "93",
        "pages_to": "102",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-attract/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-inter",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Exploration of Dynamical Systems",
        "date": "1995-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of Visual Data Exploration and Analysis II, In IS&T/SPIE Proceedings",
        "location": "San Jose, USA, Convention Center",
        "note": "TALK: 8.2.1995",
        "pages_from": "132",
        "pages_to": "138",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-inter/",
        "__class": "Publication"
    },
    {
        "id": "kopp-1995-eff",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient filter computation with symmetric matrix kernels",
        "date": "1995-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413
        ],
        "journal": "Proceedings of Winter School on Compuer Graphics (WSCG)",
        "pages_from": "153",
        "pages_to": "161",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/kopp-1995-eff/",
        "__class": "Publication"
    },
    {
        "id": "loeffelmann-1995-para",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parametrizing Superquadrics",
        "date": "1995-02",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166
        ],
        "journal": "Proceedings of WSCG",
        "lecturer": [
            399
        ],
        "location": "University of West Bohemia, Plzen, Czech Republic",
        "note": "TALK: H. Löffelmann 14.2.1995",
        "pages_from": "162",
        "pages_to": "172",
        "research_areas": [
            "Geometry"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/loeffelmann-1995-para/",
        "__class": "Publication"
    },
    {
        "id": "tobler-1995-vega",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "VEGA: Vienna Environment for Graphics Applications",
        "date": "1995-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            399,
            190
        ],
        "journal": "Proceedings of Winter School on Compuer Graphics (WSCG)",
        "location": "University of West Bohemia, Plzen, Czech Republic",
        "note": "TALK: R. Tober",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/tobler-1995-vega/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1995-SRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995-01",
        "abstract": "This paper solves the system of radiosity\nequations with a numerical approach rather than\nwith a physical interpretation as most current\nalgorithms do. Due to the high complexity of the\nproblem for highly complex scenes, a stochastic\nvariation of Jacobi iteration is developed which\nconverges stochastically to the correct solution.\nThe new method, called Stochastic Ray Method, is a\nsignificant improvement of Stochastic Radiosity. A\nlarge number of independent rays is chosen\nstochastically by importance sampling of the\npatches according to their power after the previous\niteration step. They all carry an equal amount of\npower into random directions, thereby representing\ntogether the total energy interreflection of the\nentire environment in a stochastic manner.\nAssuming a correctly distributed initial solution,\nwhich can be reached easily, the iteration\nprocess converges quickly and reduces the error\nin the result faster than other stochastic\nradiosity approaches. The new algorithm can\neasily be extended to treat various phenomena which\nare normally rather costly to incorporate in\nradiosity environments: specular reflection and\nspecular transmittance, non-diffuse emission and\n                point light sources.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            216,
            232,
            439,
            245,
            440
        ],
        "number": "TR-186-2-95-3",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "rendering",
            "radiosity",
            "stochastic",
            "raytracing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Neumann-1995-SRM-paper.gz",
                "type": "application/octet-stream",
                "size": 55968,
                "path": "Publication:Neumann-1995-SRM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Neumann-1995-SRM/Neumann-1995-SRM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Neumann-1995-SRM/",
        "__class": "Publication"
    },
    {
        "id": "Fischel-1995-VLS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Local Stability of Dynamical Systems",
        "date": "1995-01",
        "abstract": "Several methods for visualizing local stability\nproperties of dynamical systems are presented. The\ncalculation of characteristic values of local stability\nfor linear and nonlinear systems is discussed. Two\nprinciples of visualizing local stability are introduced.\nThe first principle is to display the estimated stability\nvalues directly by using scaled spheres or vectors. The\nsecond principle uses numerical analysis which generates\nportions of sweeps, that are deformed in dependence of local\n\t\t stability properties.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            416,
            166
        ],
        "number": "TR-186-2-95-2",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Fischel-1995-VLS-paper.gz",
                "type": "application/octet-stream",
                "size": 1753300,
                "path": "Publication:Fischel-1995-VLS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Fischel-1995-VLS/Fischel-1995-VLS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Fischel-1995-VLS/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1995-IED",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Exploration of Dynamical Systems",
        "date": "1995-01",
        "abstract": "Nonlinear deterministic dynamical systems often exhibit\ncomplex and chaotic behavior which is difficult to\ncomprehend. Visualizing the characteristics of such systems\nis therefore essential for an understanding of the underlying\ndynamics. In this paper concepts for the interactive\ngraphical exploration of analytically defined dynamical\nsystems are discussed. Emphasis is put on interactivity which\nshall facilitate the investigation and exploration of such\nsystems. The following topics on dynamical systems are\ntreated in more detail: interactive specification, simple and\nfast graphical representation, and interactive modification.\nThe paper concentrates on 2D and 3D orthographic projections\nof higher-dimensional phase spaces and on the display of\nbifurcation diagrams. A prototype software system which\nincorporates the previously presented ideas is shortly\ndiscussed. The software system is intended to offer a quick\ninsight into the dynamics of a dynamical system and to enable\n\t\tfast investigation of variations of a dynamical system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-95-1",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "dynamical system",
            "interactive analysis",
            "phase space",
            "bifurcation",
            "chaos theory"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1995-IED-paper.gz",
                "type": "application/octet-stream",
                "size": 127462,
                "path": "Publication:Groeller-1995-IED",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-IED/Groeller-1995-IED-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Groeller-1995-IED/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-car",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Monte-Carlo Approach for Galerkin Radiosity",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "date_to": "1995-09-18",
        "location": "University of Girona, Spain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-car/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-imp",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improving Intermediate Radiosity Images Using Directional Light",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Graphics Gems V",
        "editor": "A. Paeth",
        "publisher": "AP Professional",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-imp/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-monte",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Monte-Carlo Radiosity und Galerkin Radiosity zur Erzeugung photorealistischer Computerbilder",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "date_to": "1995-05-18",
        "event": "Fachbereich Informatik",
        "location": "University of Rostock, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-monte/",
        "__class": "Publication"
    },
    {
        "id": "feda-1995-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Image Rendering by Higher Order Radiosity",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "date_to": "1995-11-21",
        "location": "University of Bristol, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/feda-1995-real/",
        "__class": "Publication"
    },
    {
        "id": "fischel-1995-vis",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of Local Stability of Dynamical Systems",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            416,
            166
        ],
        "booktitle": "Visualization in Scientific Computing",
        "editor": "R. Scateni, J. van Wijk, P. Zanarini",
        "isbn": "3211827293",
        "pages_from": "106",
        "pages_to": "117",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/fischel-1995-vis/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1995-repre",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Representation and Realistic Rendering of Natural Phenomena with Cyclic CSG-Graphs",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            237
        ],
        "issn": "01782789",
        "journal": "Visual Computer",
        "volume": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/gervautz-1995-repre/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-appl",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application of Visualization Techniques to Chaotic Dynamical Systems",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Visualization in Scientific Computing",
        "editor": "M. Göbel, H. Müller, B. Urban",
        "pages_from": "62",
        "pages_to": "71",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-appl/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-dyn",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung dynamischer Systeme unter Berücksichtigung lokaler Eigenschaften",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1995-03-24",
        "event": "Konversatorium aus Operatins Research",
        "location": "TU Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-dyn/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-lok",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung für das lokale und globale Verhalten komplexer dynamischer Systeme",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "2005-10-05",
        "event": "Workshop Visualisierung im Rahmen des DFG-Schwerpunktes ",
        "location": "Feldberg, BRD",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-lok/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-mod",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling and Visualization of Knitwear",
        "date": "1995",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            433,
            434
        ],
        "journal": "IEEE Transaction on Visualization and Computer Graphics",
        "number": "4",
        "volume": "1",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "almost final version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1995-mod-almost final version.pdf",
                "type": "application/pdf",
                "size": 991644,
                "path": "Publication:groeller-1995-mod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-mod/groeller-1995-mod-almost final version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-mod/groeller-1995-mod-almost final version:thumb{{size}}.png"
            },
            {
                "description": null,
                "filetitle": "scanned version",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1995-mod-scanned version.pdf",
                "type": "application/pdf",
                "size": 14836012,
                "path": "Publication:groeller-1995-mod",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-mod/groeller-1995-mod-scanned version.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-mod/groeller-1995-mod-scanned version:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-mod/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-non",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Nonlinear Raytracing - Visualizing Strange Worlds",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "issn": "01782789",
        "journal": "Visual Computer",
        "number": "5",
        "pages_from": "263",
        "pages_to": "274",
        "volume": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-non/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1995-vis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung komplexer dynamischer Systeme",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1995-03-08",
        "location": "Universität Tübingen, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/groeller-1995-vis/",
        "__class": "Publication"
    },
    {
        "id": "tobler-1995-acsgm",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "ACSGM: An Adaptive CSG Meshing Algorithm",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "date_to": "1995-09-18",
        "location": "University of Girona, Spain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/tobler-1995-acsgm/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1995",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1995",
        "date": "1995",
        "abstract": "This picture was modelled with L-Systems and rendered by FLIRT, one of the research raytracers developed at the institute at the beginning of the 1990s.\nCreator of this image was Chris Traxler, who implemented the cyclic graph c apabilities necessary for the display of grammar-based objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 960,
            "image_height": 720,
            "name": "xmas-1995-image.tiff",
            "type": "image/tiff",
            "size": 743210,
            "path": "Publication:xmas-1995",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image.tiff",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 960,
                "image_height": 720,
                "name": "xmas-1995-image.tiff",
                "type": "image/tiff",
                "size": 743210,
                "path": "Publication:xmas-1995",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/xmas-1995-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/xmas-1995/",
        "__class": "Publication"
    },
    {
        "id": "Tastl-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Psychophysikalische Studien zur empfindungsgemäßen Gleichförmigkeit des erweiterten CIELUV Farbsystems",
        "date": "1995",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241
        ],
        "date_end": "1995",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/Tastl-thesis/",
        "__class": "Publication"
    },
    {
        "id": "neumann-1995-the",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            216,
            232,
            439,
            245,
            440
        ],
        "booktitle": "Rendering Techniques",
        "editor": "P. Hanrahan, W. Purgathofer",
        "location": "Wien, Austria",
        "note": "TALK: M. Feda 13.5.1995",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/neumann-1995-the/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1995-csg",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "CSG based Collision Detection",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            244
        ],
        "booktitle": "Graphics & Robotics",
        "editor": "W. Strasser, F. Wahl",
        "pages_from": "59",
        "pages_to": "72",
        "publisher": "Springer- Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/purgathofer-1995-csg/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1995-imp",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improved Matrices for Ordered Dithering",
        "date": "1995",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            441
        ],
        "booktitle": "Graphics Gems V",
        "editor": "Alan Paeth",
        "publisher": "Academic Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1995/purgathofer-1995-imp/",
        "__class": "Publication"
    },
    {
        "id": "Traxler-1994-RRR",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Representation and Realistic Rendering of Natural Phenomena\n                with Cyclic CSG-graphs",
        "date": "1994-12",
        "abstract": "A method for ray tracing of recursive objects defined by\nparametric rewriting systems is introduced. Constructive\nSolid Geometry (CSG) is used as underlying object\nrepresentation. Thus the formal languages of our rewriting\nsystems are subsets of the infinite set of CSG expressions.\nInstead of deriving such expressions to build up large CSG\ntrees we translate the systems into cyclic CSG graphs, which\ncan be used directly as an object representation for ray\ntracing. For this purpose the CSG concept is extended by\nthree new nodes. Selection nodes join all the rules for one\ngrammar symbol, control the flow by selecting proper rules,\nand are end-points of cyclic edges. Transformation nodes map\nthe rays in affine space. Calculation nodes evaluate a finite\nset of arithmetic expressions to modify global parameters,\nwhich effect flow control and transformations. The CSG\ngraphs introduced here are a very compact data structure,\nmuch like the describing data set. This property meets our\nintention to avoid both restrictions of the complexity of\nthe scenes by computer memory and the approximation accuracy\n\t\tof objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            237
        ],
        "number": "TR-186-2-94-19",
        "pages_from": "1",
        "pages_to": "19",
        "research_areas": [],
        "keywords": [
            "L-Systems",
            "CSG-graphs",
            "Ray Tracing",
            "Natural Phenomena",
            "Fractals"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Traxler-1994-RRR-paper.gz",
                "type": "application/octet-stream",
                "size": 46190,
                "path": "Publication:Traxler-1994-RRR",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Traxler-1994-RRR/Traxler-1994-RRR-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Traxler-1994-RRR/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1994-EMF",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient 3x3 Median Filter Computations",
        "date": "1994-12",
        "abstract": "This Paper presents an efficient algorithm for\nmedian filtering with a 3x3 filter kernel with only\nabout 9 comparisons per pixel using spatial coherence\nbetween neighbouring filter computations. The basic\nalgorithm calculates two medians in one step and reuses\nsorted slices of three vertical neighbouring pixels.\nAn extension of this algorithm for 2D spatial coherence\nis also examined, which calculates four medians per step.\nEven though theoretical results would yield 5%\nperformance increase compared to the basic algorithm,\nexperimental results showed less significant increase or\n                even worse performance dependent on the hardware.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413,
            190
        ],
        "number": "TR-186-2-94-18",
        "pages_from": "1",
        "pages_to": "4",
        "research_areas": [],
        "keywords": [
            "image processing",
            "filtering",
            "3x3 median kernel",
            "spatial coherence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kopp-1994-EMF-paper.pdf",
                "type": "application/pdf",
                "size": 11992,
                "path": "Publication:Kopp-1994-EMF",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Kopp-1994-EMF/Kopp-1994-EMF-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Kopp-1994-EMF/",
        "__class": "Publication"
    },
    {
        "id": "Kopp-1994-EFC",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient filter computation with symmetric matrix kernels",
        "date": "1994-11",
        "abstract": "This paper presents an algorithm for filter calculations\nusing symmetric matrix kernels. This algorithm outperforms\ntraditional methods for kernels larger than or equal to 5x5\non machines based on RISC designs, where the time needed to\ncalculate an addition equals the time needed for a\nmultiplication. The algorithm is based on a decomposition of\nthe kernel matrix into several kernel matrices of decreasing\nsize, which can be computed very fast because of spatial\ncoherence. A comparison with traditional methods shows the\n                efficiency of the presented approach.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413
        ],
        "number": "TR-186-2-94-4",
        "pages_from": "1",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [
            "image processing",
            "anti-aliasing",
            "filtering",
            "symmetric matrix kernels",
            "spatial coherence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Kopp-1994-EFC-paper.pdf",
                "type": "application/pdf",
                "size": 104469,
                "path": "Publication:Kopp-1994-EFC",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Kopp-1994-EFC/Kopp-1994-EFC-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Kopp-1994-EFC/",
        "__class": "Publication"
    },
    {
        "id": "Loeffelmann-1994-PSQ",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parameterizing Superquadrics",
        "date": "1994-11",
        "abstract": "Superquadrics are well known and often used 3D\nsurface objects in computer graphics. They are used\nfor modelling parts of scenes that are then rendered\nusing photorealistic image synthesis algorithms (e.g.,\nray tracing).  For some techniques, like texturing,\nwhich are part of these rendering methods, the type\nof the parameterization of such a surface has to be\nchosen carefully and is not intuitively obvious at\nfirst sight. There are cases, where the straight\nforward extension of quadric parameterizations to\nsuperquadrics do not produce satisfying results. We\ntherefore investigate a number of different\nparameterizations in combination with the\ncorresponding formulas, and point out some\n                significant differences between them.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399,
            166
        ],
        "number": "TR-186-2-94-5",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "parameterization",
            "quadrics",
            "superquadrics"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Loeffelmann-1994-PSQ-paper.gz",
                "type": "application/octet-stream",
                "size": 355322,
                "path": "Publication:Loeffelmann-1994-PSQ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Loeffelmann-1994-PSQ/Loeffelmann-1994-PSQ-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Loeffelmann-1994-PSQ/",
        "__class": "Publication"
    },
    {
        "id": "Neumann-1994-SRM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Stochastic Ray Method for Radiosity",
        "date": "1994-11",
        "abstract": "THIS TECHNICAL REPORT IS OUTDATED AND HAS BEEN SUPERSEDED BY TR-186-2-95-3.\nThis paper presents an efficient radiosity\nalgorithm for highly complex scenes. The new\niteration method, which is based on the Stochastic\nShooting Method, uses ray tracing to implicitly\ncalculate form factors. The variance in the solution\nis reduced by using a self-correcting, stochastically\nconverging iteration formula. The new algorithm can\nbe easily extended to simulate various phenomena\nnormally not found in radiosity environments:\ntransparency, specular reflection and point\n                light-sources.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            190,
            216,
            232,
            439,
            245,
            440
        ],
        "number": "TR-186-2-94-17",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            ""
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Neumann-1994-SRM/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1994-for",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Forced Random Dithering: Improved Threshold Matrices for Ordered Dithering",
        "date": "1994-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            441
        ],
        "booktitle": "Proceedings  of 1st IEEE International Conference on Image Processing",
        "location": "Austin, Texas",
        "organization": "1st IEEE International Conference on Image Processing",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/purgathofer-1994-for/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-1994-FRD",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Forced Random Dithering: Improved Threshold\n                Matrices for Ordered Dithering",
        "date": "1994-11",
        "abstract": "This paper examines the possibilities of improving\nhalftoning techniques using dispersed dots. This\ncorresponds to finding micro-dot distributions that\napproximate the intensity levels that have to be\nrendered. A widely used halftoning method is ordered\ndithering, which uses a threshold matrix to decide\nif a micro-dot should be set in the output image. A\nway to generate improved threshold matrices for\nordered dithering will be introduced that avoids\nunwanted low-frequency portions without introducing\ntoo much random noise into the rendered image. Since\nthe presented method produces images of high quality\nit is ideally suited for output generation in high-end\n                image processing systems.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            216,
            441
        ],
        "number": "TR-186-2-94-15",
        "pages_from": "1",
        "pages_to": "5",
        "research_areas": [],
        "keywords": [
            "digital halftoning",
            "ordered dithering",
            "threshold matrix"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Purgathofer-1994-FRD-paper.gz",
                "type": "application/octet-stream",
                "size": 92519,
                "path": "Publication:Purgathofer-1994-FRD",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Purgathofer-1994-FRD/Purgathofer-1994-FRD-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Purgathofer-1994-FRD/",
        "__class": "Publication"
    },
    {
        "id": "Feda-1994-FPZ",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Perspective Z-Buffer with Inverse Depths",
        "date": "1994-11",
        "abstract": "This paper presents a way to hold the depth\ninformation in Z-buffers, that allows fast\nincremental computation of Z-buffer depth values.\nThe main idea is to store the inverse depth with\neach pixel value. The incremental depth computation\ncan then be done with a single addition per pixel\n                in a scanline.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            216,
            177
        ],
        "number": "TR-186-2-94-16",
        "pages_from": "1",
        "pages_to": "3",
        "research_areas": [],
        "keywords": [
            "z-buffer",
            "optimization",
            "rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Feda-1994-FPZ-paper.gz",
                "type": "application/octet-stream",
                "size": 19872,
                "path": "Publication:Feda-1994-FPZ",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Feda-1994-FPZ/Feda-1994-FPZ-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Feda-1994-FPZ/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1994-comp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Comparision of Techniques for the Transformation of Radiosity Values to Monitor Colors",
        "date": "1994-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240,
            241,
            190
        ],
        "booktitle": "Proceedings of 1st IEEE International Conference on Image Processing",
        "location": "Austin, Texas",
        "note": "TALK: I. Tastl 16.11.1994",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/ferschin-1994-comp/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-AIV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Attract - Interactive Visualization of\n                Dynamical Systems",
        "date": "1994-11",
        "abstract": "An interactive program for visualizing the long\nterm behavior of dynamical systems, e.g., attractors\nand bifurcation diagrams, is presented. The program\nallows an easy specification of a set of formulas and\nconstants which describe a dynamical system. This set\nof equations is then used for displaying the\ngeometrical structure of the long term development of\nthe dynamical system. The user defines the assignment\nof variables of the dynamical system to at most three\nspatial axes and one color axis. Viewing parameters,\ne.g., point of view, zoom, rotation angle, can again\nbe changed interactively. The program is intended to\nprovide researchers working on dynamical systems with\n                a fast visual analysis and experimentation tool.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            442
        ],
        "number": "TR-186-2-94-14",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "visualization",
            "interactive",
            "dynamical system",
            "chaos",
            "strange attractor",
            "bifurcation diagram"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-AIV-paper.gz",
                "type": "application/octet-stream",
                "size": 55586,
                "path": "Publication:Groeller-1994-AIV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-AIV/Groeller-1994-AIV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-AIV/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-HIS",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hyperrealistic Image Synthesis and Manipulation",
        "date": "1994-11",
        "abstract": "Computer graphics techniques allow the generation\nof realistic and hyperrealistic images. Some of\nthese techniques are discussed in this paper. Ray\ntracing and radiosity produce 2D images out of a 3D\nsynthetic object description. Two extensions of the\nray tracing technique (nonlinear ray tracing, extended\ncamera specification) are described. Finally image\nwarping and image morphing which manipulate 2D images\n                to produce modified 2D images is dealt with.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-94-11",
        "pages_from": "1",
        "pages_to": "10",
        "research_areas": [],
        "keywords": [
            "(nonlinear) ray tracing",
            "radiosity",
            "extended camera specification",
            "morphing"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-HIS-paper.gz",
                "type": "application/octet-stream",
                "size": 12926,
                "path": "Publication:Groeller-1994-HIS",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-HIS/Groeller-1994-HIS-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-HIS/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-hyper",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Hyperrealistic image synthesis and manipulation",
        "date": "1994-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of the Symposium ",
        "location": "Bratislava, Slovakia",
        "note": "TALK: 3.11.1994",
        "organization": "Symposium ",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-hyper/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-MRN",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling and Rendering of Nonlinear Iterated\n                Function Systems",
        "date": "1994-11",
        "abstract": "Iterated Function Systems are typically defined\nthrough sets of contractive linear transformations.\nThe theory of Iterated Function Systems is based on\nthe contractivity but not on the linearity of the\ndefining functions. Piecewise bilinear distortions\nof grids are used in this work to specify nonlinear\nIterated Function Systems. Nonlinear Iterated Functions\nSystems are characterized by a higher degree of\nflexibility and greater modeling capability than their\nlinear counterparts. Modeling and rendering aspects are\ndiscussed. Limit sets of 2D nonlinear Iterated Function\nSystems are represented by approximating point sets.\nLimit sets of 3D nonlinear Iterated Function Systems\nare either rendered by displaying approximating point\nsets (z-buffer approach) or through ray tracing an\napproximate set of 3D solids. Example images of a\n                test implementation are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-94-12",
        "pages_from": "1",
        "pages_to": "14",
        "research_areas": [],
        "keywords": [
            "Fractals",
            "Iterated Functions Systems",
            "nonlinear",
            "Modeling",
            "Rendering"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-MRN-paper.gz",
                "type": "application/octet-stream",
                "size": 595547,
                "path": "Publication:Groeller-1994-MRN",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-MRN/Groeller-1994-MRN-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-MRN/",
        "__class": "Publication"
    },
    {
        "id": "Tobler-1994-VEG",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "VEGA: Vienna Environment for Graphics Applications",
        "date": "1994-11",
        "abstract": "This paper presents a software development environment\nfor rendering applications.  The main parts of this\nenvironment are a set of rules concerning the coding\nstyle, a set of tools to maintain source files and a\nnumber of libraries providing graphics functionality.\nThe environment has been succesfully used in a number\n                of internal projects, dealing with rendering.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216,
            399,
            190
        ],
        "number": "TR-186-2-94-6",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "graphics library",
            "software engineering",
            "C++"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1994-VEG-paper.gz",
                "type": "application/octet-stream",
                "size": 11872,
                "path": "Publication:Tobler-1994-VEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Tobler-1994-VEG/Tobler-1994-VEG-paper.gz",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "UNIX tools, part 1 (for VEGA). Usually already installed on modern UNIX systems.",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1994-VEG-UNIX tools, part 1 (for VEGA). Usually already installed on modern UNIX systems..zip",
                "type": "application/x-zip",
                "size": 1216793,
                "path": "Publication:Tobler-1994-VEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Tobler-1994-VEG/Tobler-1994-VEG-UNIX tools, part 1 (for VEGA). Usually already installed on modern UNIX systems..zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "UNIX tools, part 2 (for VEGA). Usually already installed on modern UNIX systems.",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1994-VEG-UNIX tools, part 2 (for VEGA). Usually already installed on modern UNIX systems..zip",
                "type": "application/x-zip",
                "size": 1305233,
                "path": "Publication:Tobler-1994-VEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Tobler-1994-VEG/Tobler-1994-VEG-UNIX tools, part 2 (for VEGA). Usually already installed on modern UNIX systems..zip",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "VEGA code",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "Tobler-1994-VEG-VEGA code.zip",
                "type": "application/x-zip",
                "size": 749217,
                "path": "Publication:Tobler-1994-VEG",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Tobler-1994-VEG/Tobler-1994-VEG-VEGA code.zip",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Tobler-1994-VEG/",
        "__class": "Publication"
    },
    {
        "id": "Gervautz-1994-MUI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multimedia und Interaktion",
        "date": "1994-10",
        "abstract": "Classroom 2000 ist ein neues Buzzword geworden.\nWird unser Ausbildungssystem im Jahr 2000 durch\nneue Technologien všllig verŠndert sein? Werden\nLernende zu Hause oder an ihrem gewohnten\nArbeitsplatz bleiben und mit multimedialen\nAusbildungssystemen ihr Wissen erar\u001fbeiten. Werden\nKlassenzimmer zu hochtechnologischen GerŠteparks in\ndenen die Kommunikation zwischen Lehrer und\nLernenden fast nur mehr in digitaler Form erfolgt?\nOder werden wir mit Datenhelm und Datenhandschuh von\nVirtuellen Lernwelten so fasziniert, da§ ein\nAussteigen aus dieser Welt einem Drogenentzug\n                gleichkommt?",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            445
        ],
        "number": "TR-186-2-94-7",
        "pages_from": "1",
        "pages_to": "15",
        "research_areas": [],
        "keywords": [
            "multimedia in education",
            "computer based training",
            "multimedia",
            "hypermedia",
            "hypertext"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gervautz-1994-MUI-paper.gz",
                "type": "application/octet-stream",
                "size": 199593,
                "path": "Publication:Gervautz-1994-MUI",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Gervautz-1994-MUI/Gervautz-1994-MUI-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Gervautz-1994-MUI/",
        "__class": "Publication"
    },
    {
        "id": "feda-1994-med",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Median Cut Algorithm for Efficient Sampling of Radiosity Functions",
        "date": "1994-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            190
        ],
        "date_from": "2005-09-16",
        "journal": "Computer Graphics Forum, Proceedings of Eurographics '94",
        "location": "Oslo, Norwegen",
        "number": "3",
        "volume": "13",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/feda-1994-med/",
        "__class": "Publication"
    },
    {
        "id": "feda-1994-para",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Radiosity on Transputers with Low Communication Overhead",
        "date": "1994-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Proceedings of the 2nd Austro- Hungarian Workshop on Transputer Applications",
        "date_to": "2005-09-29",
        "editor": "S. Ferenczi, P. Kacsuk",
        "location": "Budapest, Hungary",
        "organization": "Hungarian Academy of Science",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/feda-1994-para/",
        "__class": "Publication"
    },
    {
        "id": "feda-1994-eff",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Realistic Image Synthesis by Parallel Monte Carlo Radiosity on Transputers",
        "date": "1994-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            190
        ],
        "booktitle": "Transputer Applications and Systems '94, Proceeding of the World Transputer Congress'94",
        "location": "Cernobbio, Italy",
        "organization": "World Transputer Congress'94",
        "pages_to": "5.9.2005",
        "publisher": "IOS Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/feda-1994-eff/",
        "__class": "Publication"
    },
    {
        "id": "Gervautz-1994-AOO",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Approach for Object-Oriented Animation Design",
        "date": "1994-08",
        "abstract": "In this concept we present tools for faster designing\nof reconfigurable function oriented animation systems.\nA set of basic animation structures and a set of basic\nanimation techniques are defined. An object-oriented\nhierarchy can be built on the basis of the relationship\nbetween basic animation structures and animation\ntechniques. We propose a corresponding class hierarchy\nfor animation design. The classes of our hierarchy are\nincrementally developed through inheritance and dynamic\nbinding. Some programming aspects concerning efficient\nimplementation of basic animation  structures through\n                container classes are discussed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            447
        ],
        "number": "TR-186-2-94-2",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "Computer Animation",
            "Object-Oriented Class Hierarchy",
            "Animation Classes"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Gervautz-1994-AOO-paper.gz",
                "type": "application/octet-stream",
                "size": 33412,
                "path": "Publication:Gervautz-1994-AOO",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Gervautz-1994-AOO/Gervautz-1994-AOO-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Gervautz-1994-AOO/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-IDN",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Design of Nonlinear Functions for\n                Iterated Function Systems",
        "date": "1994-08",
        "abstract": "The basic requirement for the functions of an Iterated\nFunction System (IFS for short) is contractivity.\nNevertheless the majority of recent scientific investigations\nis concentrating on IFSs defined through a set of contractive\nlinear functions. Simpler handling of this kind of functions\nand a more predictable result is the main reason for this\napproach. In this work we use distorted grids (representing\nnonlinear functions) to specify an IFS with a higher degree\nof flexibility and a higher modelling capability. A program\nfor modeling these grids with so-called high-level operations\nis presented. Attention is directed to the interactivity of\ndesigning the IFS and rendering its limit set. Therefore a\nz-Buffer for displaying the result of a stochastic algorithm\nis included. Example images designed with the implemented\n\t\tsoftware system are presented.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            165
        ],
        "number": "TR-186-2-94-3",
        "pages_from": "1",
        "pages_to": "13",
        "research_areas": [],
        "keywords": [
            "iterated function system (IFS)",
            "nonlinear",
            "interactive design",
            "fractals",
            "rendering"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-IDN/",
        "__class": "Publication"
    },
    {
        "id": "Purgathofer-1994-CPI",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Collection of Papers of the Institute of Computer\n                Graphics",
        "date": "1994-08",
        "abstract": "This is the first technical report of the Institute of\nComputer Graphics at the Technical University of Vienna.\nIt contains papers published by our research group between\n1992 and 1993 providing an overview of our work during that\n                time.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            245,
            249,
            448,
            445,
            166,
            399,
            244,
            449
        ],
        "number": "TR-186-2-94-1",
        "pages_from": "1",
        "pages_to": "201",
        "research_areas": [],
        "keywords": [
            "computer graphics",
            "visualization",
            "animation",
            "radiosity",
            "monte carlo",
            "multi media",
            "nonlinear ray tracing",
            "coherence",
            "collision detection"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Purgathofer-1994-CPI/",
        "__class": "Publication"
    },
    {
        "id": "neumann-1994-new",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A New Stochastic Radiosity Method for Highly Complex Scenes",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            177,
            245,
            413,
            190
        ],
        "booktitle": "Proceedings of Fifth Eurographics Workshop on Rendering",
        "note": "TALK: W. Purgathofer 14.6.1994",
        "organization": "Fifth Eurographics Workshop on Rendering",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/neumann-1994-new/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1994-rad",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity for very Complex Scenes",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            177,
            245,
            413
        ],
        "booktitle": "Proceedings of International Conference on Computer Graphics ICCG",
        "location": "Comenius University of Bratislava, Slovakia",
        "note": "TALK: W. Purgathofer 7.6.1994",
        "organization": "International Conference on Computer Graphics ICCG",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/purgathofer-1994-rad/",
        "__class": "Publication"
    },
    {
        "id": "Feda-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Radiosity Algorithms",
        "date": "1994-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "date_end": "1994-06",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Feda-thesis/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1994-two",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Two-Pass Radiosity Method for CSG-Models",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "booktitle": "Proceedings of the 10. Sprig Schoon on Comoputer Graphics '94",
        "date_from": "1994-06-06",
        "date_to": "1994-06-09",
        "location": "Bratislava, Slovakia",
        "organization": "Comenius University Bratislava",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/ferschin-1994-two/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1994-app",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "An Approach for Object-Oriented Animation Design",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            447
        ],
        "booktitle": "Proceedings of Spring School of Computer Graphics",
        "location": "Bratislava, Slovakia",
        "note": "TALK: M. Gervautz 7.6.1994",
        "organization": "Comenius University Bratislava",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/gervautz-1994-app/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-AVT",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application of Visualization Techniques to\n                Complex and Chaotic Dynamical Systems",
        "date": "1994-06",
        "abstract": "Visualization provides powerful tools for the\ninvestigation of dynamical systems. The application\nof various visualization techniques to complex and\nchaotic dynamical systems is discussed. The\ninteractive specification and modification of strange\nattractors allow an easier understanding of the\nunderlying dynamics. Graphical time series analysis\nvisualizes time series and phase space reconstruction\ntechniques. Visualization of Nonlinear Iterated\nFunction systems is described as well. Finally\nadvanced visualization techniques are employed to\nillustrate shape and chaotic properties of strange\n                attractors.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-94-13",
        "pages_from": "1",
        "pages_to": "12",
        "research_areas": [],
        "keywords": [
            "visualization",
            "dynamical systems",
            "chaos",
            "fractals",
            "interactive",
            "strange attractors",
            "graphical time series analysis",
            "iterated function systems"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-AVT-paper.gz",
                "type": "application/octet-stream",
                "size": 161009,
                "path": "Publication:Groeller-1994-AVT",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-AVT/Groeller-1994-AVT-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-AVT/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-int",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Transformation of 2D Vector Data",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of the 10. Spring Schoon on Computer Graphics '94 and its applications",
        "date_from": "1994-06-06",
        "date_to": "1994-06-09",
        "location": "Bratislava, Slovakia",
        "note": "TALK: 8.6.1994",
        "organization": "10. Spring Schoon on Computer Graphics '94 and its applications",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-int/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-ITV",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Interactive Transformation of 2D Vector Data",
        "date": "1994-06",
        "abstract": "A program for the interactive transformation of 2D\nvector data is presented. The program allows the\ndefinition of local and global transformations to\nestablish a matching between two data sets. Zoologists\ndeduce relationships between life forms by\ninvestigating their geometric shape. The presented\nprogram enables the investigation of 2D cross-sections\nof, e.g., insect bodies. The amount of the distortion\nrequired to map one cross-section onto another\nillustrates evolutionary links among different species.\nThe program is intended to facilitate the above\n                mentioned research activities.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "number": "TR-186-2-94-8",
        "pages_from": "1",
        "pages_to": "6",
        "research_areas": [],
        "keywords": [
            "interactive morphing",
            "2D vector data",
            "grid distortions",
            "point based morphing",
            "attracting (repelling) points"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-ITV-paper.gz",
                "type": "application/octet-stream",
                "size": 92773,
                "path": "Publication:Groeller-1994-ITV",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-ITV/Groeller-1994-ITV-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-ITV/",
        "__class": "Publication"
    },
    {
        "id": "Jankovic-1994-PBM",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physically Based Matching of Multimodal Medical\n                Information",
        "date": "1994-06",
        "abstract": "The paper presents a general non-rigid body\nrepresentation suitable for physically-based\nmodeling of deformations of inhomogenious objects.\nThe reliability of the obtained results is\ndemonstrated on real medical data sets - CT an MR\n                scans of human brain.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            444,
            166
        ],
        "number": "TR-186-2-94-9",
        "pages_from": "1",
        "pages_to": "8",
        "research_areas": [],
        "keywords": [
            "physically-based modeling",
            "medical imaging",
            "morphing",
            "multimodal matching",
            "morphing of inhomogeneous material"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Jankovic-1994-PBM-paper.gz",
                "type": "application/octet-stream",
                "size": 66159,
                "path": "Publication:Jankovic-1994-PBM",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Jankovic-1994-PBM/Jankovic-1994-PBM-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Jankovic-1994-PBM/",
        "__class": "Publication"
    },
    {
        "id": "jankovic-1994-phy",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Physically Based Matching of Multimodal Medical Information",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            444,
            166
        ],
        "booktitle": "Proceedings of the 10. Spring School on Computer Graphics '94 and its applications",
        "date_from": "1994-06-06",
        "date_to": "1994-06-09",
        "location": "Bratislava, Slovakia",
        "organization": "10. Spring School on Computer Graphics '94 and its applications",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/jankovic-1994-phy/",
        "__class": "Publication"
    },
    {
        "id": "stuerzlinger-1994-two",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two Optimization Methods for Raytracing",
        "date": "1994-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            547,
            216
        ],
        "booktitle": "Proceedings of Spring School on Computer Graphics",
        "location": "Comenius University of Bratislava, Slovakia",
        "organization": "Spring School on Computer Graphics",
        "pages_from": "104",
        "pages_to": "107",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/stuerzlinger-1994-two/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1994-int",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Integrating a Scripting Language into an Interactive Animation System",
        "date": "1994-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            202
        ],
        "booktitle": "Proceedings Computer Animation '94",
        "date_from": "1994-05-25",
        "date_to": "1994-05-27",
        "location": "Genf, Schweiz",
        "note": "TALK: M. Gervautz 27.5.1994",
        "organization": "Computer Animation '94",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/gervautz-1994-int/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-appl",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Application of Visualization Techniques to Complex and Chaotic Dynamical Systems",
        "date": "1994-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of the 5th Eurographics Workshop on Visualization in Scientific Computing",
        "date_from": "1994-05-30",
        "date_to": "1994-06-01",
        "location": "Rostock, BRD",
        "note": "TALK: 1.6.1994",
        "organization": "Eurographics Workshop in Scientific Computing",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-appl/",
        "__class": "Publication"
    },
    {
        "id": "feda-1994-tra",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Prallel Radiosity on Transputers with a Combined CSG-BRep Data Structure",
        "date": "1994-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Workshop Proceedings Paragraph'94, RISC - Linz Report Series Nr. 94-17",
        "location": "Hagenberg, Austria",
        "pages_to": "21.3.1994",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/feda-1994-tra/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1994-imp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementing Radiosity on Vector-Computers",
        "date": "1994-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "booktitle": "Proceedings of the Workshop Paragraph'94",
        "date_to": "1994-03-21",
        "location": "Hagenberg, Austria",
        "organization": "Workshop Paragraph'94",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/ferschin-1994-imp/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-coh",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in scan-line algorithms for CSG",
        "date": "1994-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            443
        ],
        "event": "WSCG 1994",
        "journal": "Proceedings of the Winter School on Computer Graphics '94",
        "location": "Plzen, Czech Republic",
        "note": "TALK: E. Gröller 19.9.1994",
        "pages_from": "19.1.1994",
        "pages_to": "20.1.1994",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-coh/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-1994-CSA",
        "type_id": "techreport",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in scan-line algorithms for CSG",
        "date": "1994-01",
        "abstract": "Scan-line algorithms for visibility calculation\nexploit various types of coherence properties.\nSeveral scan-line algorithms for Constructive\nSolid Geometry (CSG) are discussed. In one approach\nCSG primitives are represented by polygonal\napproximations. Another technique processes CSG\nprimitives as general quadric surfaces. We\ninvestigate the handling of frequently occurring\nquadric surfaces (cube, cone, sphere, cylinder)\nas distinct cases. Thus the differing properties\nof such objects can be used more efficiently than a\nuniform approach would allow. A so called eBRep\n(extended Boundary Representation) is defined for\nthe frequently occurring quadric surfaces. An eBRep\nis an exact representation of a quadric object and\ncontains curved edges and faces. For each of the\nabove mentioned quadric surfaces a different, geometry\ndependent eBRep is specified. A comparison between the\npolygon-based scan-line algorithm for CSG and our\neBRep based approach is done. eBRep is a storage\nefficient exact representation of quadric surfaces,\n                well suited for scan-line visibility determination.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            443
        ],
        "number": "TR-186-2-94-10",
        "pages_from": "1",
        "pages_to": "11",
        "research_areas": [],
        "keywords": [
            "visibility",
            "scan-line algorithm",
            "Constructive Solid Geometry (CSG)",
            "quadrics",
            "coherence"
        ],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "Groeller-1994-CSA-paper.gz",
                "type": "application/octet-stream",
                "size": 79116,
                "path": "Publication:Groeller-1994-CSA",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-CSA/Groeller-1994-CSA-paper.gz",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Groeller-1994-CSA/",
        "__class": "Publication"
    },
    {
        "id": "elias-1994-mont",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Monte Carlo Radiosity using Piecewise Cubic Illumination Functions",
        "date": "1994-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            439,
            245,
            240,
            190
        ],
        "journal": "Proceedings of the Winter School of Computer Graphics",
        "note": "Plzen, Czech Republic",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/elias-1994-mont/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1994-sim",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Simulation globaler Beleuchtungsmodelle mit dem Radiosityverfahren",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "date_from": "1994-04-14",
        "event": "Präsentation von Supercomputing Anwendungen, EDV- Zentrum",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/ferschin-1994-sim/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1994-mult",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multimedia und Interaktiv - Neue Lernwelten sind Realität geworden - ein Überblick",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_from": "1994-10-18",
        "event": "Symposium New Media in Education, Wirtschaftskammer Vienna",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/gervautz-1994-mult/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-ext",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Extended Camera Specification for Image Synthesis",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            399
        ],
        "journal": "Machine Graphics & Vision",
        "number": "3",
        "pages_from": "514",
        "pages_to": "530",
        "volume": "3",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-ext/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-mod",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modeling and Rendering of Nonlinear Iterated Function Systems",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "journal": "Computers & Graphics",
        "number": "5",
        "pages_from": "739",
        "pages_to": "748",
        "volume": "18",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-mod/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-tech",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Techniken der Computergraphik zur Analyse dynamischer Systeme",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "1994-01-17",
        "event": "eingeladener Vortrag im Rahmen eines Konversatoriums aus Operations Research",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-tech/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1994-vis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization Techniques for Complex and Chaotic Dynamical Systems",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "1994-11-28",
        "event": "Vortrag im Rahmen der Lecture Series on ",
        "location": "TU Prag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/groeller-1994-vis/",
        "__class": "Publication"
    },
    {
        "id": "schmalstieg-1994-prog",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Programming Language for Computer Animation",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            202
        ],
        "date_from": "1994-05-30",
        "event": "eingeladener Vortrag an der Karlava University Prag",
        "location": "Prag, Tschechien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/schmalstieg-1994-prog/",
        "__class": "Publication"
    },
    {
        "id": "Schrotta-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collision Detection of Animated CT/NMR Joint Reconstruction",
        "date": "1994",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            243
        ],
        "date_end": "1994",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Schrotta-thesis/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1994-color",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color and Computer Graphics",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241
        ],
        "date_from": "1994-11-28",
        "event": "Vortrag im Rahmen der Lecture Series on ",
        "location": "TU Prag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/tastl-1994-color/",
        "__class": "Publication"
    },
    {
        "id": "Mueller-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Data Space Semantics",
        "date": "1994",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            242
        ],
        "date_end": "1994",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Mueller-thesis/",
        "__class": "Publication"
    },
    {
        "id": "kopp-1994-xor",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "XOR-Drawing with Guaranteed Contrast",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            413,
            249
        ],
        "booktitle": "Graphic Gems IV",
        "editor": "Paul Heckbert",
        "isbn": "0123361559",
        "pages_from": "414",
        "pages_to": "413",
        "publisher": "Morgan Kaufmann; Book&Disk edition",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/kopp-1994-xor/",
        "__class": "Publication"
    },
    {
        "id": "loeffelmann-1994-grund",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Grundlagen der objektorientierten Programmierung",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            399
        ],
        "date_from": "1994-12-14",
        "event": "Seminar über Modellbildung und Simulation, EDV-Zentrum",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/loeffelmann-1994-grund/",
        "__class": "Publication"
    },
    {
        "id": "tobler-1994-new",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "New Efficient Algorithms with Positive Definite Radiosity Matrix",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "date_from": "1994-06-14",
        "event": "Eurographics Workshop on Rendering",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/tobler-1994-new/",
        "__class": "Publication"
    },
    {
        "id": "traxler-1994-rep",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Representation and Realistic Rendering of Natural Phenomena with Cyclic CSG Graphs",
        "date": "1994",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237
        ],
        "date_from": "1994-05-30",
        "event": "Invited Lecture at the Karlava University Prague",
        "location": "Prague, Czech Republic",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/traxler-1994-rep/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1994",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1994",
        "date": "1994",
        "abstract": "This picture was modelled with L-Systems and rendered by FLIRT, one of the research raytracers developed at the institute at the beginning of the 1990s.\r\nCreator of this image was Chris Traxler, who implemented the cyclic graph c apabilities necessary for the display of grammar-based objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 800,
            "image_height": 600,
            "name": "xmas-1994-image.jpg",
            "type": "image/jpeg",
            "size": 184965,
            "path": "Publication:xmas-1994",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image.jpg",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            237
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 800,
                "image_height": 600,
                "name": "xmas-1994-image.jpg",
                "type": "image/jpeg",
                "size": 184965,
                "path": "Publication:xmas-1994",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image.jpg",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/xmas-1994-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/xmas-1994/",
        "__class": "Publication"
    },
    {
        "id": "Zeiller-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collision Detection for Complex Objects in Computer Animation",
        "date": "1994",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_end": "1994",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1994/Zeiller-thesis/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-cha",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Chaos und Computergraphik",
        "date": "1993-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings der Tagung Chaos und Strukturbildung",
        "date_to": "1993-11-13",
        "location": "TU München, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-cha/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1993-int",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "An interactive Tool for the Visualization of Cathode-Ray Tube Monitor Gamuts",
        "date": "1993-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241,
            190
        ],
        "journal": "Displays",
        "number": "4",
        "pages_from": "223",
        "pages_to": "226",
        "volume": "14",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/tastl-1993-int/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1993-vast",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "VAST - An integrated Animation System Based on an Actor - Controller Structure",
        "date": "1993-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            448
        ],
        "booktitle": "Proc. of the 4th EUROGRAPHICS'93 Animation and Simulation Workshop",
        "location": "Barcelona, Spanien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/gervautz-1993-vast/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-com",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computer Animation and Video Using Bluebox Ray Tracing",
        "date": "1993-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "booktitle": "Proceedings of 4th EuUROGRAPHICS'93 Animation and Simulation Workshop",
        "location": "Barcelona, Spanien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-com/",
        "__class": "Publication"
    },
    {
        "id": "vesel-1993-rad",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity Computation in Flatland using a Monte Carlo Approach with extended Rays",
        "date": "1993-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            449,
            245,
            249,
            190
        ],
        "booktitle": "Proceedings of International Conference on Computer Graphics ICCG'93",
        "location": "Budmerice, Slovakia",
        "pages_from": "181",
        "pages_to": "194",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/vesel-1993-rad/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1993-use",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Use of BSP-Trees for Solid Modelling",
        "date": "1993-06",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "booktitle": "Proceedings of International Conference on Computer Graphics ICCG'93",
        "lecturer": [
            249
        ],
        "location": "Budmerice, Slovakia",
        "pages_from": "75",
        "pages_to": "95",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/gervautz-1993-use/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-eff",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficiency in Computer Graphics: Coherence Principles",
        "date": "1993-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "booktitle": "Proceedings of International Conference on Computer Graphics ICCG'93",
        "date_to": "2005-06-03",
        "location": "Budmerice, Slovakia",
        "pages_from": "26",
        "pages_to": "31",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-eff/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-oct",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Oct-tracing animation sequences",
        "date": "1993-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings der International Conference on Computer Graphics",
        "date_to": "1993-06-03",
        "location": "Budmerice, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-oct/",
        "__class": "Publication"
    },
    {
        "id": "feda-1993-prog",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Ray Refinement for Monte Carlo Radiosity",
        "date": "1993-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            190
        ],
        "booktitle": "Proceedings of the 4th Eurographics Workshop on Rendering",
        "editor": "F. Jansen, A. Chalmers, F. Sillion",
        "location": "Paris, Frankreich",
        "publisher": "Consolidation Express Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/feda-1993-prog/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-dist",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "A distortion camera for ray tracing",
        "date": "1993-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            438
        ],
        "booktitle": "Visualization and Intelligent Design in Engineering and Architecture",
        "editor": "Conner, Hernandez, Murthy, Power",
        "isbn": "1853122270",
        "publisher": "Elsevier Science Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-dist/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-coll",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collision detection for objects modelled by CSG",
        "date": "1993-04",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "booktitle": "Visualization and Intelligent Design in Engineering and Architecture",
        "editor": "Conner, Hernandez, Murthy, Power",
        "isbn": "1853122270",
        "publisher": "Elsevier Science Publishers",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-coll/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-tra",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Tracing of Particle Systems",
        "date": "1993-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "booktitle": "Proceedings der International Conference on Computer Graphics",
        "location": "Bombay, Indien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-tra/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-acc",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "ACC-lossless data compression of animation sequences",
        "date": "1993-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            485
        ],
        "booktitle": "Proceedings der International Conference on Computer Graphics",
        "date_to": "1993-02-24",
        "location": "Bombay, Indien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-acc/",
        "__class": "Publication"
    },
    {
        "id": "bienenstein-1993-vol",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Volume Rendering of Tetrahedral Data",
        "date": "1993-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            483,
            484,
            243,
            249
        ],
        "booktitle": "Proceedings der International Conference on Computer Graphics",
        "location": "Bombay, Indien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/bienenstein-1993-vol/",
        "__class": "Publication"
    },
    {
        "id": "feda-1993-fast",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Radiosity by Parallelization and Algorithmic Improvements",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "date_to": "1993-06",
        "location": "Technical University of Praha, Institute of Computer Science, Praha",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/feda-1993-fast/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1993-csg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "CSG-Graphen zur realistischen Darstellung von Fraktalen Objekten",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1993-01",
        "location": "Friedrich- Alexander- University of Erlangen- Nürnberg",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/gervautz-1993-csg/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1993-real",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "On Realistic Image Synthesis and Display",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Habilitationsschrift",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/gervautz-1993-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1993-wie",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Wie eignen sich Multimedia- Systeme für den Einsatz in der universitären Lahre?",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1993-06",
        "event": "Habilitationskolloquium",
        "location": "Technical University of Vienna",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/gervautz-1993-wie/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-coh",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in Computer Graphics",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "booktitle": "Visualization and Intelligent Design in Engineering and Architecture",
        "editor": "Conner, Hernandez, Murthy, Power",
        "isbn": "1853122270",
        "publisher": "Elsevier Science Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-coh/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-coh1",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in Computer Graphics",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "note": "Schriftenlehre Dissertation der TU Wien des Verbandes der wissenschaftlichen Gesellschaften Österreichs",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-coh1/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-daten",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Datenkompression und Dateiformate",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1993-04-19",
        "event": "Seminar Grafik",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-daten/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-disto",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A distrortion camera for ray tracing",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1993-04-28",
        "event": "Videa' 93, Visualization and Intelligent Design in Engineering and Architecture",
        "location": "Southampton, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-disto/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-exp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Exploitatino of Coherence Properties in Computer Graphics",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1993-11-19",
        "location": "Czech Technical University Prague",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-exp/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-frak",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fraktale Geometrie",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1993-04-19",
        "event": "Seminar Grafik",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-frak/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1993-grund",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Grundlagen der Computergrafik",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_to": "1993-04-19",
        "event": "Seminar Grafik",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/groeller-1993-grund/",
        "__class": "Publication"
    },
    {
        "id": "Haider-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Methoden des Farbmanagements",
        "date": "1993",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            246
        ],
        "date_end": "1993",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/Haider-thesis/",
        "__class": "Publication"
    },
    {
        "id": "xmas-1993",
        "type_id": "xmascard",
        "tu_id": null,
        "repositum_id": null,
        "title": "X-Mas 1993",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "image_width": 400,
            "image_height": 579,
            "name": "xmas-1993-image.tiff",
            "type": "image/tiff",
            "size": 96914,
            "path": "Publication:xmas-1993",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image.tiff",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            599
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "image_width": 400,
                "image_height": 579,
                "name": "xmas-1993-image.tiff",
                "type": "image/tiff",
                "size": 96914,
                "path": "Publication:xmas-1993",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image.tiff",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/xmas-1993-image:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "xmas"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/xmas-1993/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-comp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computeranimation",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1993-04",
        "event": "Seminar Grafik",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-comp/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-csg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collision detection for CSG Objects",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1993-05",
        "event": "Seminar on Computer Graphics",
        "location": "Comenius University, Bratislava, Slowakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-csg/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-ein",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Einführung in die Computeranimation",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1993-09",
        "event": "Computer Graphics Tutorials, Lecturing Tour of the German Chapter of Eurographics",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-ein/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-obj",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Collision detection for objects modelled by CSG",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1993-04",
        "event": "Visualization and Intelligent Design in Engineering and Architecture",
        "location": "Southampton, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-obj/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1993-par",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Raytracing on Transputers",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1993-05",
        "event": "Technical University of Praha, Institute of Computer Science",
        "location": "Prag, Tschechien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/zeiller-1993-par/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1993-coh",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in Computer Graphics",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1993-04-28",
        "event": "conference VIDEA 93",
        "location": "Southampton, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/purgathofer-1993-coh/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1993-csg",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "CSG based Collision Detection",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1993-04-21",
        "event": "International Workshop on Graphics & Robotics",
        "location": "Schloß Dagstuhl, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/purgathofer-1993-csg/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1993-monte",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Monte Carlo Radiosity - Methoden",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1993-05-12",
        "location": "University Hannover, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/purgathofer-1993-monte/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1993-the",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The importance of Coherence for Rendering Algorithms",
        "date": "1993",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1993-02-25",
        "location": "University of Barcelona, Spain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1993/purgathofer-1993-the/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1992-real",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistische Bildgenerierung mittels Radiosity- Verfahren",
        "date": "1992-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240,
            190
        ],
        "booktitle": "1. Supercomputing-Tag",
        "date_from": "1992-11-19",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/ferschin-1992-real/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1992-kons",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Konstruktive Hilfsmittel für den CAD- Einsatz bei Architekten",
        "date": "1992-10",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240,
            249
        ],
        "booktitle": "CAAD-Forum",
        "date_from": "1992-10-02",
        "lecturer": [
            240
        ],
        "location": "TU Wien",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/ferschin-1992-kons/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1992-schatt",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Schattierung von Innenräumen mittels Computergraphik: Ein Überblick",
        "date": "1992-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            245
        ],
        "booktitle": "Proceedings of the 2. Österr. CAAD/CACD Forum 92, OCG- Schriftenreihe",
        "date_from": "1992-10-02",
        "location": "Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/purgathofer-1992-schatt/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1992-parallel",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Computing and Computer Graphics: Vectorising Radiosity as an Example",
        "date": "1992-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "booktitle": "Proceedings of 8th spring school on computer graphics",
        "date_from": "1992-05-28",
        "location": "Bratislava, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/ferschin-1992-parallel/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1992-multi",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multimedial und Interaktiv- Die Vorlesung der Zukunft, Multi Media Database, ein Vorlesungssystem an der TU-Wien",
        "date": "1992-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            445
        ],
        "booktitle": "Proc. des GI- Fachgesprächs Graphische Datanverarbeitung als Werkzeug in der Aus- und Weiterbildung",
        "date_from": "1992-05-06",
        "location": "Darmstadt, Deutschland",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/gervautz-1992-multi/",
        "__class": "Publication"
    },
    {
        "id": "feda-1992-acce",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Accelerating Radiosity by Overshooting",
        "date": "1992-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            190
        ],
        "booktitle": "Proceedings of the Third Euorgraphics Workshop on Rendering",
        "editor": "Alan Chalmers, Derek Paddon & Francois Sillion",
        "location": "Bristol, UK",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/feda-1992-acce/",
        "__class": "Publication"
    },
    {
        "id": "schrotta-1992-vis",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization of data with an irregular tetrahedral grid",
        "date": "1992-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            243
        ],
        "booktitle": "Proceedings of 8th spring school on computer graphics",
        "date_from": "1992-05-26",
        "location": "Bratislava, Slovakia",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/schrotta-1992-vis/",
        "__class": "Publication"
    },
    {
        "id": "hiess-1992-comb",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Combining CAD-Systems EUCLID-IS with Rendering System RISS",
        "date": "1992-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            248
        ],
        "booktitle": "Proceedings of 8th spring school on computer graphics",
        "date_from": "1992-05-28",
        "lecturer": [
            248
        ],
        "location": "Bratislava, Slovakia",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/hiess-1992-comb/",
        "__class": "Publication"
    },
    {
        "id": "Hiess-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray Tracing Contour-Based-Solids",
        "date": "1992",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            248
        ],
        "date_end": "1992",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/Hiess-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Bracher-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modellsimulation von Atmosphärischen Einflüssen auf horizontal aufgenommene photographische Bilder",
        "date": "1992",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            247
        ],
        "date_end": "1992",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/Bracher-thesis/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1992-fast",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Radiosity by Parallelization",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            244
        ],
        "journal": "Photorealism in Computer Graphics",
        "pages_from": "171",
        "pages_to": "181",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/purgathofer-1992-fast/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1992-rad",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Radiosity- A Powerful Tool for Rendering",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "1992-10-15",
        "location": "TU Prag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/purgathofer-1992-rad/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1992-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistische Bildgenerierung mittels Radiiosity-Verfahren",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "1992-11-19",
        "event": "1. Supercomputing-Tag",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/purgathofer-1992-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1992-cons",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Consistent Schemes for Adressing Surfaces when Ray Tracing transparent CSG Objects",
        "date": "1992",
        "abstract": "Constructive Solid Geometry (CSG) defines the shape of objects, i.e. the inside and the outside regions of objects,\r\nbut it does not define the materialproperties of the space in the interior of objects. The definition is ambiguous.\r\nThere are points of space lying in several primitives, which can consist of different materials. When visualizing\r\ntransparent objects this ambiguity leads to strange results, which are not consistent with the CSG modelling\r\nscheme and must therefore be eliminated. This work describes how an unambiguous model can be built by\r\nasymmetric CSG-operators and how correct refraction and shading on material boundaries can be established\r\nby separating surface properties from material properties. This separation leads to a consistent view of CSG\r\nmodelling also concerning materials and surfaces. Ray tracing CSG trees and the shading model are influenced\r\nby these asymmetric operators. We introduce an applied classification scheme to handle the requirements of the\r\nnew operator definition.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "issn": "01677055",
        "journal": "Computer Graphics Forum",
        "number": "4",
        "pages_from": "203",
        "pages_to": "211",
        "volume": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/gervautz-1992-cons/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1992-frac",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals and Solid Modeling",
        "date": "1992",
        "abstract": "Trying to combine fractal geometry and solid modeling seems to be a contradiction in itself, In this paper a\nnew type of 3D objects is presented that accomplishes this combination in a specific way. Objects with a\nfractal macro structure and a 3D solid micro structure can be specified and rendered efficiently by using context\nfree, attribute, geometric grammars. This new object type can be incorporated into the CSG-modeling\ntechnique (Constructive Solid Geometry) in two ways: a) using CSG for the specification of the micro\nstructure of the new object type, b) using these fractal like objects as a new type of primitive in the CSG\nmodel. Ray tracing is used for generating high quality images of these geometrically complex objects.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "",
            "main_file": false,
            "use_in_gallery": false,
            "access": "public",
            "name": "groeller-1992-frac-.pdf",
            "type": "application/pdf",
            "size": 165543,
            "path": "Publication:groeller-1992-frac",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-frac/groeller-1992-frac-.pdf",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-frac/groeller-1992-frac-:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of Eurographics'92",
        "date_from": "1992-09-11",
        "lecturer": [
            166
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1992-frac-.pdf",
                "type": "application/pdf",
                "size": 165543,
                "path": "Publication:groeller-1992-frac",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-frac/groeller-1992-frac-.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-frac/groeller-1992-frac-:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-frac/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1992-fractals",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals in the classroom",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "1992-05-29",
        "location": "Comenius Universität Bratislava",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-fractals/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1992-fraktale",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fraktale in der Lehre",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "1992-03-18",
        "event": "1. Workshop der Fractal-Chaos User Gruppe",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-fraktale/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1992-vis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung nichtlinearer dynamischer Systeme",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "1992-11-06",
        "event": "Kolloquium im Rahmen des SFB ",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/groeller-1992-vis/",
        "__class": "Publication"
    },
    {
        "id": "Groeller-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Coherence in Computer Graphics",
        "date": "1992",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_end": "1992",
        "supervisor": [
            190
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/Groeller-thesis/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1992-atool",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Tool for the Visualization of CRT-Monitor Gamuts",
        "date": "1992",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241
        ],
        "date_from": "1992-04-01",
        "event": "Colour Group 1992 Postgraduate Conference",
        "location": "London, Great Britain",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1992/tastl-1992-atool/",
        "__class": "Publication"
    },
    {
        "id": "schrammel-1991-dar",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Darstellung von Partikelsystemen mit dem Ray-Tracing- Verfahren",
        "date": "1991-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            562
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/schrammel-1991-dar/",
        "__class": "Publication"
    },
    {
        "id": "ottendorfer-1991-hal",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "HAL (Hypothetic Assembler Language) Definition und Implementation",
        "date": "1991-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            561
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/ottendorfer-1991-hal/",
        "__class": "Publication"
    },
    {
        "id": "wagner-1991-soft",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Software-Entwicklungswerkzeuge für graphische Benutzeroberflächen am Beispiel OSF/Motif",
        "date": "1991-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            560
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/wagner-1991-soft/",
        "__class": "Publication"
    },
    {
        "id": "stocker-1991-kom",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kompression von Computer-Animationen",
        "date": "1991-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            485
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/stocker-1991-kom/",
        "__class": "Publication"
    },
    {
        "id": "flor-1991-ada",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Adaptive Oberflächenunterteilung an Schattenkanten im Radiosity Verfahren",
        "date": "1991-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            559
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/flor-1991-ada/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1991-temp",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Temporal and Spatial Coherence for Accelerating the Calculation of Animation Sequences",
        "date": "1991-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": "",
            "filetitle": "full paper",
            "main_file": true,
            "use_in_gallery": false,
            "access": "public",
            "name": "groeller-1991-temp-full paper.PDF",
            "type": "application/pdf",
            "size": 6341131,
            "path": "Publication:groeller-1991-temp",
            "url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-temp/groeller-1991-temp-full paper.PDF",
            "thumb_image_sizes": [
                16,
                64,
                100,
                175,
                300,
                600
            ],
            "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-temp/groeller-1991-temp-full paper:thumb{{size}}.png"
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "booktitle": "Tagungsband von Eurographics",
        "lecturer": [
            1302
        ],
        "location": "Vienna, Austria",
        "note": "TALK: M. E. Gröller",
        "organization": "Eurographics ",
        "publisher": "Elsevier Science Publishers",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "",
                "filetitle": "full paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "groeller-1991-temp-full paper.PDF",
                "type": "application/pdf",
                "size": 6341131,
                "path": "Publication:groeller-1991-temp",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-temp/groeller-1991-temp-full paper.PDF",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-temp/groeller-1991-temp-full paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-temp/",
        "__class": "Publication"
    },
    {
        "id": "willmann-1991-asp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Aspekte der Gestaltung und Programmierung grafischer Benutzeroberflächen",
        "date": "1991-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            558
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/willmann-1991-asp/",
        "__class": "Publication"
    },
    {
        "id": "lehninger-1991-cut",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "CUT, Verwaltungs- und Konstruktionssystem für Tischlereibetriebe",
        "date": "1991-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            556
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/lehninger-1991-cut/",
        "__class": "Publication"
    },
    {
        "id": "schricker-1991-ani",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Animation in der Mechanik",
        "date": "1991-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            555
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/schricker-1991-ani/",
        "__class": "Publication"
    },
    {
        "id": "stiegelecker-1991-nat",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Natürliche Pinsel auf dem Computer",
        "date": "1991-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            557
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/stiegelecker-1991-nat/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1991-color",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Color Spaces and Human Color Perception",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            241
        ],
        "booktitle": "Proceedings of 2nd Eurographics Workshop on Rendering",
        "event": "2nd Eurographics Workshop on Rendering",
        "location": "Barcelona, Spanien",
        "note": "TALK: I. Tastl",
        "organization": "2nd Eurographics Workshop on Rendering",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/tastl-1991-color/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1991-con",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Colorimetry - Concepts, Methods and Research for the Usage of Color in Visual Displays",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241
        ],
        "booktitle": "Proceedings of 7th Spring school on computer graphics",
        "location": "Bratislava, Slovakia, CSFR",
        "organization": "7th Spring school on computer graphics",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/tastl-1991-con/",
        "__class": "Publication"
    },
    {
        "id": "ferschin-1991-kons",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Konstruktive Hilfsmittel für den CAD-Einsatz in der Architektur. Eine interaktive geometrische Orientierungshilfe und geometrische Relationen",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            240
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/ferschin-1991-kons/",
        "__class": "Publication"
    },
    {
        "id": "gregor-1991-shoo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Shooting & Raytracing, ein Zwei-Schritt-Verfahren zur Erzeugung von realistischen Bildern",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            553
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/gregor-1991-shoo/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1991-frac",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractal Geometry and Computer Graphics",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "booktitle": "Proceedings of 7th spring school on computer graphics",
        "date_to": "1991-05",
        "event": "7th Spring School on Computer Graphics",
        "location": "Bratislava, Slovakia, CSFR",
        "organization": "7th spring school on computer graphics",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/groeller-1991-frac/",
        "__class": "Publication"
    },
    {
        "id": "benke-1991-comp",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computeranimation für Diskrete Ereignissimulation",
        "date": "1991-05",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            554
        ],
        "date_end": "1991-05",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/benke-1991-comp/",
        "__class": "Publication"
    },
    {
        "id": "egyed-1991-real",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realisierung eines Farbfehlsichtigkeitstests auf einem Farbmonitor",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            552
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/egyed-1991-real/",
        "__class": "Publication"
    },
    {
        "id": "feda-1991-eff",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Efficient Algorithms for Radiosity Computation",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "booktitle": "Proceedings of 7th spring school on computer graphics",
        "event": "7th Spring School on Computer Graphics",
        "location": "Bratislava, Slovakia, CSFR",
        "organization": "7th spring school on computer graphics",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/feda-1991-eff/",
        "__class": "Publication"
    },
    {
        "id": "feda-1991-prog",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Progressive Refinement Radiosity on a Transputer Network",
        "date": "1991-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245,
            190
        ],
        "booktitle": "Proceedings of 2nd Eurographics Workshop on Rendering",
        "event": "2nd Eurographics Workshop on Rendering",
        "lecturer": [
            1300
        ],
        "location": "Barcelona, Spanien",
        "note": "TALK: M. Feda",
        "organization": "2nd Eurographics Workshop on Rendering",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/feda-1991-prog/",
        "__class": "Publication"
    },
    {
        "id": "kvasnicky-1991-comp",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computergestütztes Präsentationssystem",
        "date": "1991-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            551
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/kvasnicky-1991-comp/",
        "__class": "Publication"
    },
    {
        "id": "tobler-1991-text",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Texture Mapping für Raytracing",
        "date": "1991-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            216
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/tobler-1991-text/",
        "__class": "Publication"
    },
    {
        "id": "zhou-1991-3d",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "3D- Darstellung von Feldstärkeprognosedaten auf Kartenausschnitten",
        "date": "1991-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            546
        ],
        "note": "Diplomarbeit am Institut für Computergraphik",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/zhou-1991-3d/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1991-mul",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi Media Database",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1991-12",
        "event": "Symposium Teachware, UniBIT",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/zeiller-1991-mul/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1991-erf",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erfahrungen mit dem Einsatz von Multimedia in der Universitären Lehre",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            445
        ],
        "location": "Graz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/gervautz-1991-erf/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1991-mul",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi Media Database, a multi media course system",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1991-08",
        "event": "Workshop on Scientific Visualization",
        "location": "Schloß Dagstuhl, Germany",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/gervautz-1991-mul/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1991-real",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Image Synthesis with Computer Graphics",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "journal": "Digital Image Processing and Computer Graphics - Theory and Applications",
        "note": "OCG- Schriftenreihe, Oldenbourg",
        "volume": "58",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/gervautz-1991-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1991-ref",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Refraction on different Material Boundaries in a CSG Environment - more a Modeling than a Shading Task",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "journal": "Computer Graphics Forum",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/gervautz-1991-ref/",
        "__class": "Publication"
    },
    {
        "id": "petricek-1991-mul",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Multi Media Database",
        "date": "1991",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            445
        ],
        "journal": "Informat, Zeitschrift für EDV in Wissenschaft und Studium",
        "number": "4",
        "pages_from": "6",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1991/petricek-1991-mul/",
        "__class": "Publication"
    },
    {
        "id": "reichardt-1990-aus",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ausnützung zeitlicher und räumlicher Kohährenz bei der Berechnung von Bildfolgen",
        "date": "1990-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            550
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/reichardt-1990-aus/",
        "__class": "Publication"
    },
    {
        "id": "mattes-1990-fol",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Folieneditor",
        "date": "1990-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            549
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/mattes-1990-fol/",
        "__class": "Publication"
    },
    {
        "id": "margraf-1990-para",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallelisierung von Bildverarbeitungsalgorithmen",
        "date": "1990-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            548
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/margraf-1990-para/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1990-fast",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fast Radiosity by Parallelization",
        "date": "1990-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            244
        ],
        "booktitle": "Eurographics Workshop on Photosimulation, Realism and Physics in Computer Graphics",
        "date_to": "1990-06-12",
        "event": "Eurographics Workshop on Photosimulation, Realism and Physics in Computer Graphics",
        "location": "Rennes, Frankreich",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/purgathofer-1990-fast/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1990-corr",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Correct Modeling of Transparency with Raytracing CSG-models",
        "date": "1990-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "booktitle": "Proceedings of Eurographics Workshop on Photosimulation, Realism and Physics in Computer Graphics",
        "location": "Rennes, Frankreich",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/gervautz-1990-corr/",
        "__class": "Publication"
    },
    {
        "id": "enengl-1990-ultra",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ultrahochauflösende Digitale Bildverarbeitung auf Transputerbasis",
        "date": "1990-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            545
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/enengl-1990-ultra/",
        "__class": "Publication"
    },
    {
        "id": "hiess-1990-puf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "A - Puffer für CSG-Bäume",
        "date": "1990-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            248
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/hiess-1990-puf/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1990-par",
        "type_id": "journalpaper",
        "tu_id": null,
        "repositum_id": null,
        "title": "Paralleles Raytracing mit Transputer",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1989-04-14",
        "journal": "CAD und Computergraphik",
        "location": "TU Wien",
        "number": "13",
        "volume": "1",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/zeiller-1990-par/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1990-trans",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Transputer in der Computergraphik",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1990-05-14",
        "event": "Transputertag-Workshop on Programming Tools for Transputer Systems",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/zeiller-1990-trans/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1990-die",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Die Rolle von CGI in der Realistischen Computergraphik",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1990-11",
        "event": "Firma AGIS",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/gervautz-1990-die/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1990-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Image Synthesis with Computer Graphics",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1990-10",
        "event": "Workshop on Digital Image Processing and Computer Graphics",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/gervautz-1990-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1990-syn",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistic Image Synthesis with Computer Graphics",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "note": "In OCG-Schriftenreihe, in Druck",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/gervautz-1990-syn/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1990-conf",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Configuring transputers for ray-tracing. Applications of Transputers 1",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            244
        ],
        "booktitle": "Proceedings of the First International Conference on Applicatons of Transputers",
        "location": "Liverpool, UK",
        "publisher": "IOS Press",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/purgathofer-1990-conf/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1990-dar",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realitätsnahe Darstellung von Objekten mit Ray-Tracing und Radiosity Verfahren",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1990-05-16",
        "event": "10. Jahrestagung der Swiss Computer Graphics Association, Hotel International",
        "location": "Zürich-Oerlikon",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/purgathofer-1990-dar/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1990-para",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Parallel Image Rendering",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1990-08-31",
        "event": "Eingeladener Vortrag bei der Tagung Operations Research",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/purgathofer-1990-para/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1990-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistische Bildsynthese und ihre Parallelisierung",
        "date": "1990",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1990-01-16",
        "event": "Kolloquium am Institut für Informatik der Universität Zürich",
        "location": "Zürich, Schweiz",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1990/purgathofer-1990-real/",
        "__class": "Publication"
    },
    {
        "id": "mueller-1989-form",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Formularerkennung",
        "date": "1989-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            504
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/mueller-1989-form/",
        "__class": "Publication"
    },
    {
        "id": "karimi-1989-netz",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Netzspiegel",
        "date": "1989-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            503
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/karimi-1989-netz/",
        "__class": "Publication"
    },
    {
        "id": "tastl-1989-perc",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Perceptual color spaces in der Computergraphik",
        "date": "1989-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            241
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/tastl-1989-perc/",
        "__class": "Publication"
    },
    {
        "id": "mauerhofer-1989-ein",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein 3D- Editor für Sweeps",
        "date": "1989-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            500
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/mauerhofer-1989-ein/",
        "__class": "Publication"
    },
    {
        "id": "ostendorf-1989-hyper",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "HyperFont - Ein Tool für interaktives Typedesign",
        "date": "1989-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            502
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/ostendorf-1989-hyper/",
        "__class": "Publication"
    },
    {
        "id": "griessmair-1989-def1",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Deformation of Solids with Trivariate B-Splines",
        "date": "1989-09",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            494,
            190
        ],
        "booktitle": "Proceedings fo Eurographics",
        "date_from": "1989-09",
        "editor": "FRA Hopgood, W. Strasser",
        "lecturer": [
            1300
        ],
        "location": "North Holland, Hamburg",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "full paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "griessmair-1989-def1-full paper.pdf",
                "type": "application/pdf",
                "size": 8557912,
                "path": "Publication:griessmair-1989-def1",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1989/griessmair-1989-def1/griessmair-1989-def1-full paper.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1989/griessmair-1989-def1/griessmair-1989-def1-full paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/griessmair-1989-def1/",
        "__class": "Publication"
    },
    {
        "id": "haider-1989-farb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Farbraumtransformation",
        "date": "1989-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            501
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/haider-1989-farb/",
        "__class": "Publication"
    },
    {
        "id": "grasser-1989-tra",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ray-Tracing",
        "date": "1989-08",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            495
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/grasser-1989-tra/",
        "__class": "Publication"
    },
    {
        "id": "feda-1989-obj",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Objekte-Orientiertes Ray- Tracing",
        "date": "1989-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            245
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/feda-1989-obj/",
        "__class": "Publication"
    },
    {
        "id": "baldauf-1989-entw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwicklung Graphischer Applikations-Software durch Konstruktion und Interpolation Anforderungsbeschreibender Modelle",
        "date": "1989-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            492
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/baldauf-1989-entw/",
        "__class": "Publication"
    },
    {
        "id": "baldauf-1989-graph",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwicklung Graphischer Applikations-Software durch Konstruktion und Interpolation Anforderungsbeschreibender Modelle",
        "date": "1989-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            492
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/baldauf-1989-graph/",
        "__class": "Publication"
    },
    {
        "id": "rosskogler-1989-mod",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modellierung und Animation des Menschen mit Hilfe des Computers",
        "date": "1989-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            544
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/rosskogler-1989-mod/",
        "__class": "Publication"
    },
    {
        "id": "oeppinger-1989-fra",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals",
        "date": "1989-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            493
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/oeppinger-1989-fra/",
        "__class": "Publication"
    },
    {
        "id": "oeppinger-1989-fra1",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals",
        "date": "1989-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            493
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/oeppinger-1989-fra1/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1989-adv",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Advances in Computer Graphics V",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            499
        ],
        "isbn": "3-540-51420-1",
        "pages": "221",
        "publisher": "Springer- Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/purgathofer-1989-adv/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1989-comp",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Computergraphik",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1989-12-18",
        "event": "Informatik- Referenten- Training für Dozenten des Pädagogischen Institutes",
        "location": "Bildungshaus St. Bernhard, Wr. Neustadt",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/purgathofer-1989-comp/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1989-image",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image Synthesis and Shading",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1989-07-13",
        "event": "IBM Europe Institute",
        "location": "Garmisch Partenkirchen, BRD",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/purgathofer-1989-image/",
        "__class": "Publication"
    },
    {
        "id": "clauer-1989-eine",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Eine auflösungsunabhängige, farbinterpolierende Bilddarstellung und ihre Anwendung im Hochqualitätsdruck",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            505
        ],
        "date_end": "1989",
        "date_start": "1984",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/clauer-1989-eine/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1989-real",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realism in Computer Graphics",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "booktitle": "Tutorial Notes, Eurographics '89",
        "date_to": "1989-09-04",
        "event": "Eurographics Tutorial",
        "location": "Hamburg, BRD",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/gervautz-1989-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1989-sol1",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "SOL An Object Description Language for Solid Modelling",
        "date": "1989",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "booktitle": "Conference Proceedings of International Conference on CAD & CG",
        "lecturer": [
            249
        ],
        "location": "Peking",
        "organization": "International Conference on CAD & CG",
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/gervautz-1989-sol1/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1989-using",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using an Octree for Color Quantization",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "note": "Eingereicht für Technology News, DEC",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/gervautz-1989-using/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1989-konf",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Konfiguration von Transputern für Ray-Tracing",
        "date": "1989",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "date_to": "1989-10-02",
        "event": "Berichte aus Informatikforschungsinstitutionen' 89",
        "location": "UBW-Klagenfurt",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1989/zeiller-1989-konf/",
        "__class": "Publication"
    },
    {
        "id": "zeiller-1988-konf",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Konfiguration Paralleler Prozessoren für Ray- Tracing",
        "date": "1988-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            244
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/zeiller-1988-konf/",
        "__class": "Publication"
    },
    {
        "id": "huber-1988-aus",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ausnützung zeitlicher Kohärenz beim Raytracing",
        "date": "1988-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            543
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/huber-1988-aus/",
        "__class": "Publication"
    },
    {
        "id": "kuenig-1988-geo",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Geometrische Modellierung mit Bsp-Objekten",
        "date": "1988-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            542
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/kuenig-1988-geo/",
        "__class": "Publication"
    },
    {
        "id": "griessmair-1988-verb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Verbiegeoperatoren zur Modellierung komplexer Objekte",
        "date": "1988-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            494
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/griessmair-1988-verb/",
        "__class": "Publication"
    },
    {
        "id": "fink-1988-3d",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein 3D-Editor für CSG-Objekte",
        "date": "1988-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            539
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/fink-1988-3d/",
        "__class": "Publication"
    },
    {
        "id": "zoufal-1988-video",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Videoauswertungssystem für Tierbeobachtungen",
        "date": "1988-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            538
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/zoufal-1988-video/",
        "__class": "Publication"
    },
    {
        "id": "bierbaumer-1988-aus",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ausnützung des NAS AS/9160 für Ray-Tracing",
        "date": "1988-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            540
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/bierbaumer-1988-aus/",
        "__class": "Publication"
    },
    {
        "id": "kummer-1988-darst",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Darstellung von Rasterbildern",
        "date": "1988-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            537
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/kummer-1988-darst/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1988-duale",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Duale Voronoizerlegung im R3 mit Simplexmethode",
        "date": "1988-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "journal": "CAD & Computergraphik",
        "number": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/groeller-1988-duale/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1988-using",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using Tetrahedrons for Dithering Color Pictures",
        "date": "1988-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "journal": "Automatika",
        "note": "Jugoslawien",
        "number": "1-2/ 88",
        "volume": "29",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/groeller-1988-using/",
        "__class": "Publication"
    },
    {
        "id": "helpap-1988-halb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Halbschatten, diffuse Reflexion und Transparenz bei realistischen Computerbildern",
        "date": "1988-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            536
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/helpap-1988-halb/",
        "__class": "Publication"
    },
    {
        "id": "sebastion-1988-aus",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ausnützung der Kohärenz bei Ray-Tracing",
        "date": "1988-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            498
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/sebastion-1988-aus/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-entw",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "RISS- Ein Entwicklungssystem zur Generierung realistischer Bilder",
        "date": "1988",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "booktitle": "Visualisierungstechniken und Algorithmen, Informatik Fachberichte 182",
        "editor": "W. Barth",
        "pages_from": "61",
        "pages_to": "79",
        "publisher": "Springer Verlag, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-entw/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-erz",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erzeugung realistischer Bilder und Animation",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1988-09",
        "event": "Tutorium Austrographics' 88",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-erz/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-obj",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "SOL Eine Objektbeschreibungssprache für Solid Modelling",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "DIGRA'88, Kühlungsborn, DDR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-obj/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-real",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erzeugung realistischer Bilder und Animation",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Tutorium, Austrographics'88, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-real/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-riss",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "RISS - Ein Entwicklungssystem für realistische Bilder",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "date_to": "1988-09-27",
        "event": "Minisymposium des Fachgespräches Visualisierungstechniken und Algorithmen der GI",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-riss/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-simpl",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "A simple Method for Color Quantization: Octree Quantization",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "booktitle": "New Trends in Computer Graphics",
        "pages_from": "219",
        "pages_to": "231",
        "publisher": "Springer Verlag, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-simpl/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1988-sol",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "SOL Eine Objektbeschreibungssprache für Solid Modelling",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_to": "1988-11",
        "event": "DIGRA'88 - Interaktive Graphische Systeme",
        "location": "Kühlungsborn (DDR)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/gervautz-1988-sol/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-dis",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Display of Color Pictures",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1988-09-15",
        "event": "DEC Research Center",
        "location": "Valbonne, Frankreich",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-dis/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-gest",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Gestaltung von Systemen der Visualisierung von 3D-Objekten unter besonderer Berücksichtigung der Datenstrukturen",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1988-11-09",
        "event": "Eingeladener Vortrag zur DIGRA'88 - Interaktive graphische Systeme",
        "location": "Kühlungsborn (DDR)",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-gest/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-opt",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimale Ausnützung von Farbtafeln",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_from": "1988-05-20",
        "event": "Vortrag auf Einladung der Kommission zur Besetzung eines Informatik-Extraordinariates",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-opt/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-real",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistische Effekte in künstlichen Bildern",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1988-11-24",
        "event": "Seminar Computer und Kunst",
        "location": "TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-real/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-simple",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Simple Method for Color Quantization: Octree Quantization",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249,
            190
        ],
        "booktitle": "New Trends in Computer Graphics",
        "date_to": "1988-05-16",
        "editor": "Nadia Magnenat-Thalmann & Daniel Thalmann",
        "event": "Computer Graphics International",
        "location": "Genf, Schweiz",
        "pages_from": "219",
        "pages_to": "231",
        "publisher": "Springer",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": "Copy of the paper",
                "filetitle": "Paper",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "purgathofer-1988-simple-Paper.PDF",
                "type": "application/pdf",
                "size": 6027981,
                "path": "Publication:purgathofer-1988-simple",
                "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-simple/purgathofer-1988-simple-Paper.PDF",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-simple/purgathofer-1988-simple-Paper:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-simple/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-using",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Using tetrahedrons for dithering color pictures",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166,
            190
        ],
        "date_to": "1988-06-23",
        "event": "Third International Conference on Computer Graphics",
        "location": "Jugoslawien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-using/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-vis",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualisierung von 3D- Objekten",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "note": "Rostocker Informatik Berichte, DDR",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-vis/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1988-was",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Was ist graphische Datenverarbeitung",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_to": "1988-11-15",
        "event": "Biometrisches Kolloquium der Internationalen Biometrischen Gesellschaft",
        "location": "Wien, Austria",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/purgathofer-1988-was/",
        "__class": "Publication"
    },
    {
        "id": "barth-1988-konz",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Konzepte und Implementierung von Bilddateien in PASCAL/Graph",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            190,
            532
        ],
        "note": "Institutsbericht des Instituts für Praktische Informatik, Nr. 30, März 1988",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/barth-1988-konz/",
        "__class": "Publication"
    },
    {
        "id": "barth-1988-pict",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Picture Files for Hierarchically Structured Pictures",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            190,
            532
        ],
        "journal": "Computer & Graphics",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/barth-1988-pict/",
        "__class": "Publication"
    },
    {
        "id": "clauer-1988-austr",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Austrographics '88",
        "date": "1988",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            505,
            190
        ],
        "isbn": "3540503056",
        "pages": "--",
        "publisher": "Springer Verlag, Berlin",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1988/clauer-1988-austr/",
        "__class": "Publication"
    },
    {
        "id": "groeller-1987-opt",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Optimale Farbauswahl bei Ausgabegeräten in der Graphischen Datenverarbeitung",
        "date": "1987-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/groeller-1987-opt/",
        "__class": "Publication"
    },
    {
        "id": "slonek-1987-besch",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Beschreibung und Darstellung komplexer Objekte",
        "date": "1987-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            535
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/slonek-1987-besch/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-1987-unsch",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Unscharfe Effekte in realistischen Bildern",
        "date": "1987-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            533,
            190
        ],
        "booktitle": "Tagungsband der 10. Tagung ",
        "location": "Wien - München",
        "note": "Band 37",
        "pages_from": "255",
        "pages_to": "269",
        "publisher": "R. Oldenbourg- Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/heinzl-1987-unsch/",
        "__class": "Publication"
    },
    {
        "id": "Gervautz-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Improvements of the Ray-tracing Algorithm",
        "date": "1987",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "date_end": "1987",
        "date_start": "1984",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/Gervautz-thesis/",
        "__class": "Publication"
    },
    {
        "id": "zucker-1987-daten",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Daten in der Graphischen Datenverarbeitung",
        "date": "1987",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            534
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/zucker-1987-daten/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1987-ident",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Identification in a high-level Graphics Programming Language",
        "date": "1987",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "journal": "Computer & Graphics",
        "number": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/purgathofer-1987-ident/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1987-schatt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Schattierungsmodelle in der Graphischen Datenverarbeitung",
        "date": "1987",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            532
        ],
        "journal": "CAD & Computergraphik",
        "number": "10",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/purgathofer-1987-schatt/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1987-stat",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Statistical Method for Adaptive Stochastic Sampling",
        "date": "1987",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "journal": "Computer & Graphics",
        "note": "Pergamon Press, New York",
        "number": "11",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1987/purgathofer-1987-stat/",
        "__class": "Publication"
    },
    {
        "id": "heinzl-1986-mod",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modellierung unscharfer Effekte durch Ray-Tracing",
        "date": "1986-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            533
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/heinzl-1986-mod/",
        "__class": "Publication"
    },
    {
        "id": "rainer-1986-schatt",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Schattierungsmodelle in der Graphischen Datenverarbeitung",
        "date": "1986-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            532
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/rainer-1986-schatt/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-erw",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erweiterung von Modula-2 um höhere graphische Sprachelemente",
        "date": "1986-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "journal": "Software-Architektur und modulare Programmierung, Berichte des German Chapter of the ACM",
        "number": "26",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-erw/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-dith",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dithering: Schöne Bilder mit wenigen Farben",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "note": "In Berichte aus den Informatikinstituten (Hrsg. F.J. Radermacher, M. Wirsing), Universität Passau, MIP-8604, S. 185-195",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-dith/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-modula",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Modula/Graph Handbuch",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            525
        ],
        "note": "Institutsbericht des Instituts für Praktische Informatik, Nr. 29, Dezember 1986",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-modula/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-real",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Realistische Bilder",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "address": "Wiesbaden",
        "booktitle": "Handbuch der Modernen Datenverarbeitung",
        "number": "127",
        "publisher": "Forkel- Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-real/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-stat",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "A Statistical Method for Adaptive Stochastic Sampling",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "address": "North Holland",
        "booktitle": "Proceedings of Eurographics'86",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-stat/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1986-stoch",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stochastic Dithering",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "note": "In Tagungsband der 2. österr. -Jugoslawischen Computer-Graphik Tagung, Juni",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/purgathofer-1986-stoch/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-erz",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erzeugung realistischer Bilder",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Tutorium, Austographics'86, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-erz/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-fractals",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals in der Graphischen Datenverarbeitung",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Berichte aus den Informatikinstituten, Conference Report, Universität Passau, p. 93",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-fractals/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-fractals1",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Fractals in Computer Graphics",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "In Tagungsband der 2. österr. -Jugoslawischen Computer Graphik Tagung, Juni",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-fractals1/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-kugel",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kugel- und Quaderumgebungen zu Optimierung des Ray- Tracing- Verfahrens für CSG-Bäume",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "In Austrographics'86, R. Oldenbourg",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-kugel/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-pascal",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAL/Graph Vs. 4.0 Handbuch",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Institutsbericht Nr. 24, Institut für Praktische Informatik, TU Wien, September 1986",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-pascal/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1986-three",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Three Improvements of the Ray Tracing Algorithm for CSG-Trees",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "journal": "Computer & Graphics",
        "number": "4",
        "pages_from": "333",
        "pages_to": "339",
        "volume": "10",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/gervautz-1986-three/",
        "__class": "Publication"
    },
    {
        "id": "clauer-1986-aust",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Austographics'86",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            505,
            190
        ],
        "isbn": "3854030321",
        "pages": "286",
        "publisher": "R. Oldenbourg- Verlag",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/clauer-1986-aust/",
        "__class": "Publication"
    },
    {
        "id": "wildpert-1986-sol",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "SOL, eine Objektbeschreibungssprache für Solid Modeling",
        "date": "1986",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            531
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1986/wildpert-1986-sol/",
        "__class": "Publication"
    },
    {
        "id": "clauer-1985-stand",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stand und Entwicklung der CAD/CAM Technologie mit besonderer Berücksichtigung der österreichischen Situation",
        "date": "1985-12",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            505,
            529,
            530
        ],
        "journal": "CAD- Computergraphik und Konstruktion, Mitteilungen der ACGA",
        "number": "38",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/clauer-1985-stand/",
        "__class": "Publication"
    },
    {
        "id": "roegelsperger-1985-zwei",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Zweidimensionale Darstellung von Funktionen in zwei Veränderlichen",
        "date": "1985-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            528
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/roegelsperger-1985-zwei/",
        "__class": "Publication"
    },
    {
        "id": "pold-1985-erw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erweiterung, Implementierung und Anwendung von PASCAL/Graph auf dem Personalcomputer Apple Lisa",
        "date": "1985-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            527
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/pold-1985-erw/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1985-allg",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein allgemeiner graphischer Editor",
        "date": "1985-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "address": "Braunschweig - Wiesbaden",
        "booktitle": "Angewandte Informatik",
        "number": "2",
        "pages_from": "77",
        "pages_to": "83",
        "publisher": "Vieweg Verlag",
        "volume": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/purgathofer-1985-allg/",
        "__class": "Publication"
    },
    {
        "id": "dworzak-1985-verb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Verbesserung der Bildqualität bei Rasterbildschirmen",
        "date": "1985-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            526
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/dworzak-1985-verb/",
        "__class": "Publication"
    },
    {
        "id": "clauer-1985-cad",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "CAD/ CAM Einsatz- Chancen und Ausblick",
        "date": "1985",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            505,
            529,
            530
        ],
        "note": "Informationstechnik für die 90er Jahre (Hrsg. W. Grafendorfer, F. Margulies), Schriftenreihe der OCG Nr. 30, R. Oldenbourg",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/clauer-1985-cad/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1985-graph",
        "type_id": "book",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphische Datenverarbeitung",
        "date": "1985",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "isbn": "--",
        "pages": "--",
        "publisher": "Springer Verlag, Wien - New York",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/purgathofer-1985-graph/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1985-meth",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Eine neue Methode in der Graphischen Datenverarbeitung: Stochastisches Sampling",
        "date": "1985",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "note": "GI/ OCG/ ÖGI- Jahrestagung 1985, Informatik Fachberichte Nr. 108, S. 406-417",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/purgathofer-1985-meth/",
        "__class": "Publication"
    },
    {
        "id": "spannagl-1985-erw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erweiterung von Modula/Graph",
        "date": "1985",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            525
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1985/spannagl-1985-erw/",
        "__class": "Publication"
    },
    {
        "id": "barth-1984-ident",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Identifizieren beim graphischen Editieren",
        "date": "1984-06",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            190
        ],
        "journal": "CAD-Computergraphik und Konstruktion, Mitteilungen der Austrian Computer Graphik Associatino ACGA",
        "number": "32",
        "pages_from": "2",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/barth-1984-ident/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1984-iden",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Identifikation und verzerrende Skalierung für eine höhere graphische Programmiersprache",
        "date": "1984-05",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "date_end": "1984",
        "date_start": "1980",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/purgathofer-1984-iden/",
        "__class": "Publication"
    },
    {
        "id": "abraschek-1984-statgra",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "STATGRA - Ein Programmiersystem zur Erstellung statistischer Graphiken",
        "date": "1984-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            524
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/abraschek-1984-statgra/",
        "__class": "Publication"
    },
    {
        "id": "rappelsberger-1984-entw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf und Implementierung von Modula/Graph: Precompiler",
        "date": "1984-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            522
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/rappelsberger-1984-entw/",
        "__class": "Publication"
    },
    {
        "id": "tiroch-1984-stand",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Stand und Trends von CAS/ CAM",
        "date": "1984-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            521
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/tiroch-1984-stand/",
        "__class": "Publication"
    },
    {
        "id": "veit-1984-entw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf und Implementierung von Modula/Graph: Laufzeitsystem",
        "date": "1984-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            523
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/veit-1984-entw/",
        "__class": "Publication"
    },
    {
        "id": "stahl-1984-impl",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Implementierung eines allgemeinen graphischen Editiersystems",
        "date": "1984-02",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            520
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/stahl-1984-impl/",
        "__class": "Publication"
    },
    {
        "id": "barth-1984-ber",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Berichte aus Informatikinstituten",
        "date": "1984",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            190
        ],
        "note": "Institutsbericht Nr. 22 des Instituts für Praktische Informatik, TU Wien, Februar 1984",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/barth-1984-ber/",
        "__class": "Publication"
    },
    {
        "id": "barth-1984-pascal",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAL/Graph Handbuch Version 4.0",
        "date": "1984",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            505,
            249,
            190
        ],
        "note": "Institutsbericht Nr. 24 des Instituts für Praktische Informatik, TU Wien, August 1984",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/barth-1984-pascal/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1984-conc",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Concept of high-level Graphics Programming",
        "date": "1984",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "journal": "Automatika, Journal of the Yugoslav Commettee ETAN",
        "number": "25",
        "pages_from": "41",
        "pages_to": "44",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1984/purgathofer-1984-conc/",
        "__class": "Publication"
    },
    {
        "id": "gervautz-1983-entw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf und Implementierung des PASCAL/Graph-Precompilers",
        "date": "1983-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            249
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/gervautz-1983-entw/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1983-ausb",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ausbildung in graphischer Datenverarbeitung an der TU Wien mit PASCAL/Graph",
        "date": "1983-08",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "journal": "CAD- Computergraphik und Konstruktion, Mitteilungen der ACGA",
        "number": "27",
        "pages_from": "26",
        "pages_to": "27",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/purgathofer-1983-ausb/",
        "__class": "Publication"
    },
    {
        "id": "heinke-1983-dialog",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Dialogtechniken mit graphischen Elementen und ihre Auswirkungen auf die Mensch-Maschine Kommunikation",
        "date": "1983-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            518
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/heinke-1983-dialog/",
        "__class": "Publication"
    },
    {
        "id": "barth-1983-devel",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The Development of Graphics Application Systems with PASCAL/Graph",
        "date": "1983-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "journal": "ICS'83, Berichte des German Chapter of the ACM (Hrsg. H. Schneider)",
        "number": "13",
        "pages_from": "110",
        "pages_to": "123",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/barth-1983-devel/",
        "__class": "Publication"
    },
    {
        "id": "schornstein-1983-ent",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf für ein allgemeines graphisches Editiersystem",
        "date": "1983-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            517
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/schornstein-1983-ent/",
        "__class": "Publication"
    },
    {
        "id": "schornstein-1983-ent1",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf für ein allgemeines graphisches Editiersystem",
        "date": "1983",
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            517
        ],
        "ac_number": "AC06004259",
        "note": "Institutsbericht Nr. 19 des Instituts für Praktische Informatik, TU Wien, April 1983",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/schornstein-1983-ent1/",
        "__class": "Publication"
    },
    {
        "id": "barth-1983-anw",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Anwendung von PASCAL/Graph",
        "date": "1983",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            505,
            519,
            190
        ],
        "note": "Institutsbericht Nr. 20 des Instituts für Praktische Informatik, TU Wien, Juli 1983",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/barth-1983-anw/",
        "__class": "Publication"
    },
    {
        "id": "barth-1983-handb",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAL/Graph Handbuch",
        "date": "1983",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "note": "Institutsbericht Nr. 18 des Instituts für Praktische Informatik, TU Wien, April 1983",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/barth-1983-handb/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1983-stud",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Das Studium der Informatik an der TU Wien",
        "date": "1983",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190,
            519
        ],
        "journal": "Output - Österreich",
        "number": "83",
        "pages_from": "26",
        "pages_to": "26",
        "volume": "4",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1983/purgathofer-1983-stud/",
        "__class": "Publication"
    },
    {
        "id": "heider-1982-inst",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Installation von PASCAL/Bild auf einem Apple II Microcomputer: Laufzeitsystem",
        "date": "1982-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            516
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/heider-1982-inst/",
        "__class": "Publication"
    },
    {
        "id": "klimbacher-1982-inst",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Installation von PASCAL/Bild auf einem Apple II Microcomputer: Percompiler",
        "date": "1982-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            515
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/klimbacher-1982-inst/",
        "__class": "Publication"
    },
    {
        "id": "kreuzberger-1982-druck",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Druckerschnittstelle für PASCAL/Bild",
        "date": "1982-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            512
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/kreuzberger-1982-druck/",
        "__class": "Publication"
    },
    {
        "id": "barth-1982-neues",
        "type_id": "inbook",
        "tu_id": null,
        "repositum_id": null,
        "title": "Neues von PASCAL/Bild",
        "date": "1982-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "booktitle": "Austrographics",
        "editor": "E. Huttar, J. Weiß",
        "pages_from": "165",
        "pages_to": "175",
        "publisher": "Schriftenreihe der OCG",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/barth-1982-neues/",
        "__class": "Publication"
    },
    {
        "id": "barth-1982-graph",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "Die höhere graphische Programmiersprache PASCAL/Bild",
        "date": "1982-03",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "booktitle": "Tagungsband des 5. deutschsprachigen DECUS München Symposiums",
        "location": "München",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/barth-1982-graph/",
        "__class": "Publication"
    },
    {
        "id": "barth-1982-high",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "The high-level Graphics Programming Language PASCAL/Graph",
        "date": "1982",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "journal": "Computer & Graphics",
        "note": "Pergamon Press, New York",
        "number": "6",
        "pages_from": "109",
        "pages_to": "119",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/barth-1982-high/",
        "__class": "Publication"
    },
    {
        "id": "barth-1982-impl",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Die Implementierung von PASCAL/Bild",
        "date": "1982",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "journal": "Implementierung PASCAL- artiger Programmiersprachen (Hrsg. H. Langmack, B. Schlender, W. Schmidt), Berichte des German Chapter of the ACM",
        "number": "11",
        "pages_from": "81",
        "pages_to": "95",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/barth-1982-impl/",
        "__class": "Publication"
    },
    {
        "id": "barth-1982-prog",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphische Programmierung mit PASCAL/Graph",
        "date": "1982",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "note": "In Robotik und Bildverarbeitung (Hrsg. F. Pichler, H. Hellwagner), Studie der österreichischen Studiengesellschaft für Kybernetik, OCG, Mai 1982",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/barth-1982-prog/",
        "__class": "Publication"
    },
    {
        "id": "dirnberger-1982-port",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein portables Mehrgerätekonzept für die höhere graphische Programmiersprache PASCAL/Bild",
        "date": "1982",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            509
        ],
        "note": "Institutsbericht Nr. 16 des Instituts für Praktische Informatik, TU Wien, Februar",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1982/dirnberger-1982-port/",
        "__class": "Publication"
    },
    {
        "id": "lorenz-1981-verb",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Verbindung von PASCAL/Bild mit dem graphischen System CALMA",
        "date": "1981-10",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            514
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/lorenz-1981-verb/",
        "__class": "Publication"
    },
    {
        "id": "barth-1981-high",
        "type_id": "inproceedings",
        "tu_id": null,
        "repositum_id": null,
        "title": "The high-level Graphics Programming Language PASCAL/Graph",
        "date": "1981-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "booktitle": "Proceedings fo the Eurographics '81",
        "date_from": "1981-09",
        "editor": "J. Encarnacao",
        "location": "North Holland",
        "pages_from": "151",
        "pages_to": "164",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barth-1981-high/",
        "__class": "Publication"
    },
    {
        "id": "barth-1981-schalt",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Schaltplandialog in PASCAL/Bild",
        "date": "1981-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190,
            511,
            512,
            513
        ],
        "journal": "diagramm, einzige Österreichische Fachzeitschrift für Datenverarbeitung und Organisation",
        "note": "11. Jahrgang",
        "number": "3",
        "pages_from": "52",
        "pages_to": "53",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barth-1981-schalt/",
        "__class": "Publication"
    },
    {
        "id": "dirnberger-1981-port",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein portables Mehrgerätesystem für die höhere graphische Programmiersprache PASCAL/Bild",
        "date": "1981-09",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            509
        ],
        "date_end": "1981",
        "date_start": "1979",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/dirnberger-1981-port/",
        "__class": "Publication"
    },
    {
        "id": "barachini-1981-erw",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Erweiterung von PASCAL/Bild um Metafiles und Implementierung in BS 2000",
        "date": "1981-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            510
        ],
        "note": "Diplomarbeit am Institut für Praktische Informatik, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barachini-1981-erw/",
        "__class": "Publication"
    },
    {
        "id": "barth-1981-graph",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphisches Programmieren mit PASCAL/Bild",
        "date": "1981-01",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509
        ],
        "journal": "CAD-Computergraphik und Konstruktion, Mitteilungen der Arbeitskreise für Graphik und Konstruktion der TU Wien",
        "number": "14",
        "pages_from": "2",
        "pages_to": "7",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barth-1981-graph/",
        "__class": "Publication"
    },
    {
        "id": "barth-1981-benutzer",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAl/Bild Benutzerhandbuch",
        "date": "1981",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509,
            190
        ],
        "note": "Institutsbericht des Instituts für Praktische Informatik, TU Wien, Juli 1981",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barth-1981-benutzer/",
        "__class": "Publication"
    },
    {
        "id": "barth-1981-kart",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Kartographie mit PASCAL/Bild",
        "date": "1981",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            509
        ],
        "journal": "Feedback, Zeitschrift der Abteilung Prozeßdatenverarbeitung des EDV- Zentrums der TU Wien",
        "number": "8",
        "pages_from": "8",
        "pages_to": "9",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1981/barth-1981-kart/",
        "__class": "Publication"
    },
    {
        "id": "purgathofer-1980-ausgabe",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Ein/Ausgabeprobleme an Mikroprozessor-Bildschirm-Kombinationen",
        "date": "1980-04",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            190
        ],
        "note": "Diplomarbeit am Institut für Informationssysteme, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1980/purgathofer-1980-ausgabe/",
        "__class": "Publication"
    },
    {
        "id": "gober-1979-impl",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Die Implemetierung von PASCAL/Bild",
        "date": "1979-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            508
        ],
        "note": "Diplomarbeit am Institut für Informationssysteme, TU Wien",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1979/gober-1979-impl/",
        "__class": "Publication"
    },
    {
        "id": "barth-1979-pascal",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAL/Bild",
        "date": "1979",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69,
            508
        ],
        "note": "Institutsbericht des Instituts für Informationssysteme, TU Wien",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1979/barth-1979-pascal/",
        "__class": "Publication"
    },
    {
        "id": "barth-1979-pascal1",
        "type_id": "misc",
        "tu_id": null,
        "repositum_id": null,
        "title": "PASCAL/Bild",
        "date": "1979",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            69
        ],
        "note": "Graphische Datenverarbeitung, Schriftenreihe der OCG, Nr.4",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1979/barth-1979-pascal1/",
        "__class": "Publication"
    },
    {
        "id": "scherzer-1978-ent",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf einer Bildsprache und Implementierung eines Laufzeitsystems",
        "date": "1978-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            507
        ],
        "note": "Diplomarbeit am Institut für Informationssysteme, TU Wien",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1978/scherzer-1978-ent/",
        "__class": "Publication"
    },
    {
        "id": "wenger-1978-ent",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Entwurf einer Bildsprache und Entwicklung eines Präkompilers",
        "date": "1978-11",
        "abstract": "",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            506
        ],
        "note": "Diplomarbeit am Institut für Informationssysteme, TU Wien",
        "supervisor": [
            69
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/1978/wenger-1978-ent/",
        "__class": "Publication"
    },
    {
        "id": "Thomas-2018",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "PolicyMap: A Dynamic Map for Line-Up Policy in Amusement Parks",
        "date": null,
        "abstract": "The more time is spent in queues lining up for attractions in amusement parks, the less\nfunny the experience and the whole day in the park becomes. This project aims to\ninvestigate different factors that influence the waiting time and develop a tool that helps\nusers to efficiently plan their stay in an amusement park. The tool will consist of three\ndifferent parts. A dynamic map shall help users to get an overview of the current waiting\ntimes and the location of respective attractions in the park. A routing algorithm shall be\ndeveloped to suggest an appropriate route through the park while considering the local\noptimum for each visitor and the global optimum for the whole park. Finally, a 3D navigation\nshall be implemented to help users to find their way to the desired attraction easier than by\nusing conventional paper maps.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1367
        ],
        "date_start": "2018-05-24",
        "matrikelnr": "01327052",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "IllVis",
            "InfoVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Thomas-2018/",
        "__class": "Publication"
    },
    {
        "id": "usul-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5497
        ],
        "date_start": "2025-09",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/usul-thesis/",
        "__class": "Publication"
    },
    {
        "id": "vad_2015_phd",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization in Root Phenotyping",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1195
        ],
        "date_end": "2017",
        "date_start": "2015-03",
        "duration": "2015.03-2017",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/vad_2015_phd/",
        "__class": "Publication"
    },
    {
        "id": "walchhofer-tso",
        "type_id": "poster",
        "tu_id": null,
        "repositum_id": null,
        "title": "Two Sides of the Same Cube: Towards Immersive Dynamic Viusalization of Migration Data",
        "date": null,
        "abstract": "Migration is a complex global phenomenon, often presented in a highly sensationalized way by the media. The number of people arriving at a country from a specific origin strongly varies over time. In this poster, we describe two different methods to immersively visualize dynamic migration. We utilize discrete time flattening to create a three-dimensional spacetime-cube-like representation in two separate manifestations: i) A physical sculpture made of transparent media and ii) an AR visualization for smartphones. In future work, we seek to compare how our different manifestations of immersive 3D concepts affect users of the general public.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5452,
            5449,
            1813
        ],
        "date_from": "2025-11-02",
        "date_to": "2025-11-07",
        "event": "IEEE VIS 2025",
        "research_areas": [
            "Fabrication",
            "VR"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "poster",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "walchhofer-tso-poster.pdf",
                "type": "application/pdf",
                "size": 8166135,
                "path": "Publication:walchhofer-tso",
                "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/walchhofer-tso-poster.pdf",
                "thumb_image_sizes": [
                    16,
                    64,
                    100,
                    175,
                    300,
                    600
                ],
                "thumb_url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/walchhofer-tso-poster:thumb{{size}}.png"
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/walchhofer-tso/",
        "__class": "Publication"
    },
    {
        "id": "werdermann-va",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Voxel Architecture",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5580
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2026-03-18",
        "matrikelnr": "11710818",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/werdermann-va/",
        "__class": "Publication"
    },
    {
        "id": "wu-2021",
        "type_id": "journalpaper_notalk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization working group at TU Wien: Visible Facimus Quod Ceteri Non Possunt",
        "date": null,
        "abstract": "Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scientific setting where sometimes contradicting multiple objectives require trade-offs and optimizations. Research-wise the group has been performing basic and applied research in visualization and visual computing. Teaching-wise the group has been involved in undergraduate and graduate lecturing in (medical) visualization and computer graphics. To be scientifically competitive requires to constantly expose the group and its members to a strong international competition at the highest level. This necessitates to shield the members against the ensuing pressures and demands and provide (emotional) support and encouragement. Internally, the vis-group has developed a unique professional and social interaction culture: work and celebrate, hard and together. This has crystallized into a nested, recursive, and triangular organization model, which concretizes what it takes to make a research group successful. The key elements are the creative and competent vis-group members who collaboratively strive for (scientific) excellence in a socially enjoyable environment.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": {
            "description": null,
            "filetitle": "image",
            "main_file": false,
            "use_in_gallery": true,
            "access": "public",
            "name": "wu-2021-image.png",
            "type": "image/png",
            "size": null,
            "path": "Publication:wu-2021",
            "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-image.png",
            "thumb_image_sizes": []
        },
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1464,
            1170,
            1366,
            1285,
            1383,
            1263,
            1577,
            935,
            1410,
            171,
            1110,
            166
        ],
        "doi": "https://doi.org/10.1016/j.visinf.2021.02.003",
        "journal": "Visual Informatics",
        "open_access": "yes",
        "pages_from": "76",
        "pages_to": "84",
        "volume": "5",
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "image",
                "main_file": false,
                "use_in_gallery": true,
                "access": "public",
                "name": "wu-2021-image.png",
                "type": "image/png",
                "size": null,
                "path": "Publication:wu-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-image.png",
                "thumb_image_sizes": []
            },
            {
                "description": null,
                "filetitle": "paper",
                "main_file": true,
                "use_in_gallery": false,
                "access": "public",
                "name": "wu-2021-paper.pdf",
                "type": "application/pdf",
                "size": null,
                "path": "Publication:wu-2021",
                "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/wu-2021-paper.pdf",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/wu-2021/",
        "__class": "Publication"
    },
    {
        "id": "zhang-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5496
        ],
        "date_start": "2025-09",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "d4314"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/zhang-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Ismail-2018",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Analytics for Intra-Operative Brain Shift Compensation in Ultrasound Data",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1630
        ],
        "date_start": "2018-10-09",
        "matrikelnr": "01327702",
        "supervisor": [
            1464,
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Ismail-2018/",
        "__class": "Publication"
    },
    {
        "id": "klein-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Illustrative Visualization of Cell Biology",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1285
        ],
        "date_end": "2019",
        "date_start": "2016-05",
        "matrikelnr": "1129861",
        "supervisor": [
            171
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/klein-thesis/",
        "__class": "Publication"
    },
    {
        "id": "kristmann-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1935
        ],
        "date_start": "2025-10",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/kristmann-thesis/",
        "__class": "Publication"
    },
    {
        "id": "Laschober-2018",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Finding Stability Edges and Connection Method for a 3D Mesh  Unfolding",
        "date": null,
        "abstract": "This project aims to find the best position and the minimal number of glue tags for 3D mesh unfolding problem. Mesh unfolding technique transforms an input 3D mesh into a single connected patch, which significantly facilitates us to construct the corresponding papercraft model. The mathematical concept of topological surgery guarantees that we can always find at least one such pair of duplicated seams that are next to each other on the boundary of the unfolded patch, thus we can construct the papercraft model just by stitching them one by one until all the seams are closed.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1571
        ],
        "date_start": "2018-05-23",
        "matrikelnr": "01202977",
        "supervisor": [
            1464
        ],
        "research_areas": [
            "Geometry",
            "InfoVis",
            "Perception"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Laschober-2018/",
        "__class": "Publication"
    },
    {
        "id": "lipp-2017-vulkan",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Molecular Visualization using Vulkan",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1525
        ],
        "date_start": "2017",
        "matrikelnr": "01425235",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/lipp-2017-vulkan/",
        "__class": "Publication"
    },
    {
        "id": "Mlinaric-2015-MT",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visuelle Analyse von Lokalisierungsdaten in Innenräumen",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1178
        ],
        "date_start": "2015",
        "matrikelnr": "0825603 ",
        "supervisor": [
            950,
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Mlinaric-2015-MT/",
        "__class": "Publication"
    },
    {
        "id": "Ortner-2021",
        "type_id": "journalpaper_notalk",
        "tu_id": 293128,
        "repositum_id": "20.500.12708/137222",
        "title": "Local projections for high-dimensional outlier detection",
        "date": null,
        "abstract": "A novel approach for outlier detection is proposed, called local projections, which is based on concepts of the Local Outlier Factor (LOF) (Breunig et al. in Lof: identifying densitybased local outliers. In: ACM sigmod record, ACM, volume 29, pp. 93-104, 2000) and ROBPCA (Hubert et al. in Technometrics 47(1):64-79, 2005). By using aspects of both methods, this algorithm is robust towards noise variables and is capable of performing outlier detection in multi-group situations. The idea is to focus on local descriptions of the observations and their neighbors using linear projections. The outlyingness of an observation is determined by a weighted distance of the observation to all identified projection spaces, with weights depending on the appropriateness of the local description. Experiments with simulated and real data demonstrate the usefulness of this method when compared to existing outlier detection algorithms.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1277,
            962,
            1900,
            1901,
            1902
        ],
        "doi": "10.1007/s40300-020-00183-5",
        "research_areas": [],
        "keywords": [],
        "weblinks": [
            {
                "href": "https://link.springer.com/article/10.1007/s40300-020-00183-5",
                "caption": "Paper link",
                "description": null,
                "main_file": 0
            }
        ],
        "files": [],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Ortner-2021/",
        "__class": "Publication"
    },
    {
        "id": "ott-va",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Voxel Architecture",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5405
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2026-03-18",
        "matrikelnr": "12121278",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/ott-va/",
        "__class": "Publication"
    },
    {
        "id": "pirraku-f",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "FFT",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5584
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2026-03-01",
        "matrikelnr": "12117570",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/pirraku-f/",
        "__class": "Publication"
    },
    {
        "id": "gangl-2018-gpsart",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Algorithmic GPS Art Synthesis",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1483
        ],
        "date_start": "2018",
        "matrikelnr": "01025756",
        "supervisor": [
            171
        ],
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/gangl-2018-gpsart/",
        "__class": "Publication"
    },
    {
        "id": "Groeller_2016_I7",
        "type_id": "talk",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visual Computing for the Analysis of Complex Systems",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            166
        ],
        "date_from": "2016-12",
        "date_to": "2016-12",
        "event": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)",
        "location": "Invited Talk at the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST)",
        "research_areas": [
            "IllVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Groeller_2016_I7/",
        "__class": "Publication"
    },
    {
        "id": "grossmann-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1366
        ],
        "date_start": "2019-09",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/grossmann-thesis/",
        "__class": "Publication"
    },
    {
        "id": "rasch-2016-imgses",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Image-Space Solvent-Excluded Surface Visualization",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1014
        ],
        "date_start": "2016-10",
        "matrikelnr": "0925447",
        "supervisor": [
            171
        ],
        "research_areas": [
            "BioVis",
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/rasch-2016-imgses/",
        "__class": "Publication"
    },
    {
        "id": "Rumpelnik_Martin-2020-NPR",
        "type_id": "bachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Planetary Rendering with Novel GPU Features",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1702
        ],
        "date_end": "2020-01",
        "date_start": "2019-07",
        "matrikelnr": "01633397",
        "supervisor": [
            1650
        ],
        "research_areas": [
            "Modeling",
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "3DSpatialization"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Rumpelnik_Martin-2020-NPR/",
        "__class": "Publication"
    },
    {
        "id": "Schmidlehner_Sandra_SbC",
        "type_id": "masterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Standards-based Clinical Data Repository",
        "date": null,
        "abstract": "There is a wide range of clinical systems (e.g. HIS, EMR) on the market that are intended to assist healthcare professionals with their daily work in the creation of clinical documentation. The increasing need of sharing patient data between disparate clinical systems created the demand of a comprehensive framework for clinical information exchange. Furthermore there are a variety of clinical documents available, which provide a large amount of information to the healthcare professionals. The multitude of documents of the patient medical history poses a challenge for the treating physician to filter and identify all the necessary information needed to provide accurate treatment to a patient. For this reason a technology with the capability to store and index clinical information as smallest possible and reasonable data unit including the ability to assemble new tailored documents in an on-demand manner based on specific query requests would highly support the physicians treatment process. This technology, also called Clinical Data Repository, shall be based on established standards and best practices in ehealth to ensure interoperability and interconnectivity between clinical systems.\n\n ",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1357
        ],
        "date_end": "2015-04-23",
        "date_start": "2014-11-15",
        "matrikelnr": "0626031",
        "supervisor": [
            166
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [
            "Framework for clinical info exchange",
            "Clinical Data Repository",
            "clinical treatment support"
        ],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Schmidlehner_Sandra_SbC/",
        "__class": "Publication"
    },
    {
        "id": "Schrempf_2018",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": "20.500.12708/1344",
        "title": "Fantastic Voyage: an Augmented Reality Approach to Anatomical Education for the General Public",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1552
        ],
        "date_end": "2019",
        "date_start": "2018",
        "matrikelnr": "0920136",
        "supervisor": [
            1410
        ],
        "research_areas": [
            "MedVis"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Schrempf_2018/",
        "__class": "Publication"
    },
    {
        "id": "schuetz-mb",
        "type_id": "dataset",
        "tu_id": null,
        "repositum_id": null,
        "title": "Morro Bay",
        "date": null,
        "abstract": "Various subsets of San Simeon[1]. Each archive contains the same data in three file formats: las, laz and simlod.\n\n[1] PG&E Diablo Canyon Power Plant (DCPP): San Simeon and Cambria Faults, CA. Distributed by OpenTopography. https://doi.org/10.5069/G9CN71V5 . Accessed: 2023-10-05",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1116
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [
            {
                "description": null,
                "filetitle": "Morro bay 36M",
                "main_file": false,
                "use_in_gallery": false,
                "access": "public",
                "name": "schuetz-mb-Morro bay 36M.txt",
                "type": "text/plain",
                "size": 0,
                "path": "Publication:schuetz-mb",
                "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/schuetz-mb/schuetz-mb-Morro bay 36M.txt",
                "thumb_image_sizes": []
            }
        ],
        "projects_workgroups": [],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/schuetz-mb/",
        "__class": "Publication"
    },
    {
        "id": "sifuentes-2018-crowd",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Agent-Based Modeling of Crowd Behavior",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1482
        ],
        "date_start": "2018",
        "matrikelnr": "00607000",
        "supervisor": [
            171
        ],
        "research_areas": [
            "Modeling"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "illvisation"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/sifuentes-2018-crowd/",
        "__class": "Publication"
    },
    {
        "id": "Swoboda_Nicolas_VIT",
        "type_id": "runmasterthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Visualization and Interaction Techniques for the Exploration of the Fruit Fly's Neural Structure",
        "date": null,
        "abstract": "The common fruit fly Drosophila Melanogaster has for decades proven to be a\nvaluable research subject due to its availability and powerful genomic variabilities.\n\nIn the field of neurobiology it has become a popular tool to study the relation\nbetween neural structures and complex behavior. At the Institute of Molecular\nPathology in Vienna (IMP), Barry Dickson and his team study the Drosophila\nbased on brain scans acquired via confocal light microscopy of cellular resolution.\n\nThey have accumulated an extensive digital atlas of brain images and neuron\nannotations.  The VRVis research company and the IMP have delevoped a software infrastructure for data management, data mining, and visualization of neural structures of the fruit fly Drosophila Melanogaster. The visualization software BrainGazer offers scientists a system to manage and explore the digital atlas.[VRVis 2013] It implements various tools for visualizing the Drosophila¿s neural structures, and assists in finding neural circuits. It facilitates neurobiologists to investigate correlations between specific neural circuits and complex behavior. The system offers three-dimensional visualizations of neural structures and visual queries in the spatial\ndomain.\n\nThe brain scans are analyzed to find possible connectivities between neurons.\nThis overlap information between arborizations (dendrites of the nerve cells) is the focus of the thesis. Scientists use overlap information to decide where important neural circuits may exists. The discovery of such connectivities is of high interest for Dickson and his team and has previously lead to valued results.  [Yu et al. 2010][Philipsborn et al. 2011]\n\nJudith Moosburner [Moosburner et al. 2011], in cooperation with the neuroscientists at the IMP, has developed a design scheme to improve visualization of neuronal connectivity. It is oriented to visualize overlap information in an effective way, i.e. by introducing abstract representations of overlaps and intelligent use of color and interactivity. Additional information will be available via mouse over and an interactive menu. In the course of this master thesis, the design will be implemented in the BrainGazer system.",
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            1358
        ],
        "matrikelnr": "0425828",
        "supervisor": [
            166
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/Swoboda_Nicolas_VIT/",
        "__class": "Publication"
    },
    {
        "id": "szabo-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(unknown)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5559
        ],
        "date_end": "2029-03",
        "date_start": "2026-03",
        "supervisor": [
            1410
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/szabo-thesis/",
        "__class": "Publication"
    },
    {
        "id": "akan-vf",
        "type_id": "runbachelorthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Voxel Fluids",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5581
        ],
        "co_supervisor": [
            1954
        ],
        "date_start": "2025-08-01",
        "matrikelnr": "01529890",
        "supervisor": [
            193
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/akan-vf/",
        "__class": "Publication"
    },
    {
        "id": "antes-g",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphtorial",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5333
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-09-01",
        "date_start": "2025-09-01",
        "matrikelnr": "11905187",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/antes-g/",
        "__class": "Publication"
    },
    {
        "id": "auzinger-thesis",
        "type_id": "runphdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "(not known)",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": "auzinger-dissertation",
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            808
        ],
        "date_end": "2011",
        "date_start": "2009-09",
        "supervisor": [
            356
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "Desiree"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/auzinger-thesis/",
        "__class": "Publication"
    },
    {
        "id": "balvan-g",
        "type_id": "runstudentproject",
        "tu_id": null,
        "repositum_id": null,
        "title": "Graphtorial",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            5382
        ],
        "co_supervisor": [
            1954
        ],
        "date_end": "2026-09-01",
        "date_start": "2025-09-01",
        "matrikelnr": "12023159 ",
        "supervisor": [
            193
        ],
        "research_areas": [
            "Rendering"
        ],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "rend"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/balvan-g/",
        "__class": "Publication"
    },
    {
        "id": "bouzari-thesis",
        "type_id": "phdthesis",
        "tu_id": null,
        "repositum_id": null,
        "title": "Knowledge Assisted Sparse Interaction for Peripheral CT Angiography",
        "date": null,
        "abstract": null,
        "authors_et_al": false,
        "substitute": null,
        "main_image": null,
        "sync_repositum_override": null,
        "repositum_presentation_id": null,
        "authors": [
            902
        ],
        "date_end": "2013",
        "reviewer_1": [
            693
        ],
        "reviewer_2": [
            693
        ],
        "rigorosum": "Thesis was discontinued",
        "supervisor": [
            693
        ],
        "research_areas": [],
        "keywords": [],
        "weblinks": [],
        "files": [],
        "projects_workgroups": [
            "vis"
        ],
        "url": "https://www.cg.tuwien.ac.at/research/publications/ongoing/bouzari-thesis/",
        "__class": "Publication"
    }
]
